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2016-17 Russian Premier League Season

240 games · 4 promotion-playoff teams

Final

Champion

Spartak Moscow

69 points

Relegated

No relegation

Biggest Overachiever

Spartak Moscow

18.63 points above expected

69 points · 50.37 expected points

Biggest Disappointment

Tom Tomsk

12.98 points below expected

14 points · 26.98 expected points

League Table

The final standings for the season. vsSim shows actual points minus the simulation's mean — positive means the team overachieved against the model, negative means they underperformed.

# Team GP W D L Pts GF GA GD SimPts vsSim
1 Spartak Moscow 30 22 3 5 69 46 27 +19 50.37 +18.63
2 CSKA Moscow 30 18 8 4 62 47 15 +32 55.32 +6.68
3 Zenit St. Petersburg 30 18 7 5 61 50 19 +31 56.64 +4.36
4 Krasnodar 30 12 13 5 49 40 22 +18 54.11 -5.11
5 Terek Grozny 30 14 6 10 48 38 35 +3 40.26 +7.74
6 Rostov 30 13 9 8 48 36 18 +18 53.86 -5.86
7 Ufa 30 12 7 11 43 22 25 -3 34.08 +8.92
8 Lokomotiv Moscow 30 10 12 8 42 39 27 +12 45.00 -3.00
9 Rubin Kazan 30 10 8 12 38 30 34 -4 38.19 -0.19
10 Amkar Perm 30 8 11 11 35 25 29 -4 36.13 -1.13
11 Ural 30 8 6 16 30 24 44 -20 32.76 -2.76
12 Anzhi Makhachkala 30 7 9 14 30 24 38 -14 33.14 -3.14
13 Orenburg 30 7 9 14 30 25 36 -11 35.34 -5.34
14 Arsenal Tula 30 7 7 16 28 18 40 -22 31.11 -3.11
15 Krylia Sovetov 30 6 10 14 28 31 39 -8 34.38 -6.38
16 Tom Tomsk 30 3 5 22 14 17 64 -47 26.98 -12.98

Top Overachievers & Disappointments

Teams that most beat — or most fell short of — their simulated point projections. A positive vsSim means the team accumulated more points than the model expected on average; a negative one means fewer.

Biggest Overachievers

# Team Actual Sim vsSim
1 Spartak Moscow 69 50.37 +18.63
2 Ufa 43 34.08 +8.92
3 Terek Grozny 48 40.26 +7.74
4 CSKA Moscow 62 55.32 +6.68
5 Zenit St. Petersburg 61 56.64 +4.36

Biggest Disappointments

# Team Actual Sim vsSim
1 Tom Tomsk 14 26.98 -12.98
2 Krylia Sovetov 28 34.38 -6.38
3 Rostov 48 53.86 -5.86
4 Orenburg 30 35.34 -5.34
5 Krasnodar 49 54.11 -5.11

Top Streaks

Ranked by model unlikelihood — the product of pregame W/D/L probabilities over the games in each team's streak. A short streak by a poor team can outrank a longer one by a strong team since the poor team's per-game probabilities were lower going in. Unbeaten counts consecutive wins or ties; Winless counts consecutive losses or ties.

Most Unlikely Winning Streaks

# Team Games Dates Probability
1 Terek Grozny 4 Apr 26 – May 14 1 in 93
2 Spartak Moscow 6 Oct 15 – Nov 26 1 in 91
3 Ural 4 Mar 18 – Apr 16 1 in 49
4 Ufa 3 Dec 5 – Mar 11 1 in 17
5 Lokomotiv Moscow 3 Dec 1 – Mar 5 1 in 12

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Arsenal Tula 5 Oct 30 – Nov 30 1 in 32
2 Orenburg 3 Sep 16 – Oct 1 1 in 22
3 Lokomotiv Moscow 3 Sep 11 – Sep 24 1 in 21
4 Krasnodar 2 Aug 21 – Aug 28 1 in 18
5 Tom Tomsk 5 Nov 27 – Mar 11 1 in 16

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Ufa 5 Aug 26 – Oct 2 1 in 51
2 Rostov 10 Dec 3 – Apr 30 1 in 24
3 CSKA Moscow 13 Nov 6 – Apr 26 1 in 21
4 Anzhi Makhachkala 4 Apr 22 – May 8 1 in 17
5 Terek Grozny 7 Sep 25 – Nov 21 1 in 16

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Amkar Perm 11 Mar 18 – May 21 1 in 82
2 Arsenal Tula 14 Aug 14 – Nov 30 1 in 80
3 Orenburg 9 Jul 30 – Oct 1 1 in 78
4 Rubin Kazan 7 Mar 11 – Apr 26 1 in 29
5 Tom Tomsk 12 Sep 26 – Mar 11 1 in 21

Position Race

Each team’s league position across the whole season. Colored teams are the season’s headline finishers — champion, promoted, and relegated; everyone else is gray as context.

Recent Form

Each team’s last 5 games, hottest first. Form shows the results (navy win, gray draw, red loss, newest on the right); the bars show Elo change over the window, points taken, points expected from the odds, and actual minus expected. Beside each team: current Elo and season points.

Team Elo Season Pts Form Elo Δ (5) Points (5) Expected (5) Actual − Exp
Spartak Moscow 1916 69 -2 12 9.0 +3.0
CSKA Moscow 2010 62 +22 12 10.4 +1.6
Zenit St. Petersburg 2007 61 +21 12 9.6 +2.4
Krasnodar 1955 49 -15 5 9.4 -4.4
Terek Grozny 1842 48 +30 12 6.5 +5.5
Rostov 1931 48 -21 9 10.1 -1.1
Ufa 1770 43 +12 10 7.5 +2.5
Lokomotiv Moscow 1879 42 -7 7 8.6 -1.6
Rubin Kazan 1788 38 +12 9 5.1 +3.9
Amkar Perm 1753 35 -29 1 5.4 -4.4
Orenburg 1771 30 +18 8 5.2 +2.8
Anzhi Makhachkala 1718 30 -13 2 3.8 -1.8
Ural 1709 30 -36 1 5.1 -4.1
Arsenal Tula 1740 28 +35 7 4.3 +2.7
Krylia Sovetov 1752 28 +5 7 6.7 +0.3
Tom Tomsk 1579 14 -31 0 3.2 -3.2

Head-to-Head

Each cell shows a team's record in that matchup (row vs column, formatted W-D-L) with the model's expected points on the line below. Navy-tinted cells mean the team beat the model's expectations by more than one point in that matchup; gold-tinted cells mean they fell short by the same margin.

Beat expectations Fell short Within expectations
Team AP AM AT CM KRA KS LM ORE ROS RK SM TG TT UFA URA ZSP
Amkar Perm —
1-0-1
2.94
1-1-0
3.22
0-1-1
1.59
0-0-2
1.65
0-2-0
3.10
0-2-0
2.27
1-1-0
2.68
1-0-1
1.72
0-1-1
2.55
0-0-2
1.70
1-1-0
2.51
1-0-1
3.53
0-2-0
2.97
1-0-1
3.00
1-0-1
1.58
Anzhi Makhachkala
1-0-1
2.49
 —
1-0-1
2.80
0-1-1
1.40
0-2-0
1.49
0-0-2
2.77
0-1-1
2.05
1-1-0
2.43
0-0-2
1.45
1-0-1
2.40
0-0-2
1.74
1-1-0
2.24
1-1-0
3.22
0-0-2
2.67
1-0-1
2.74
0-2-0
1.32
Arsenal Tula
0-1-1
2.24
1-0-1
2.63
 —
0-0-2
1.29
0-1-1
1.33
1-1-0
2.47
0-1-1
1.76
0-1-1
2.47
1-0-1
1.31
1-0-1
2.37
1-0-1
1.65
0-1-1
2.18
1-0-1
2.99
0-0-2
2.54
1-1-0
2.56
0-0-2
1.45
CSKA Moscow
1-1-0
3.90
1-1-0
4.15
2-0-0
4.28
 —
0-2-0
2.84
2-0-0
4.15
1-0-1
3.46
2-0-0
3.65
0-1-1
3.01
1-1-0
3.91
0-0-2
3.05
2-0-0
3.62
2-0-0
4.29
2-0-0
4.04
2-0-0
3.89
0-2-0
2.61
Krasnodar
2-0-0
3.84
0-2-0
4.05
1-1-0
4.23
0-2-0
2.60
 —
0-2-0
4.06
1-0-1
3.28
0-1-1
4.03
1-1-0
2.85
2-0-0
3.84
0-1-1
3.21
1-0-1
3.62
2-0-0
4.48
0-2-0
4.05
1-1-0
4.24
1-0-1
2.47
Krylia Sovetov
0-2-0
2.35
2-0-0
2.66
0-1-1
2.96
0-0-2
1.38
0-2-0
1.45
 —
0-1-1
2.09
0-1-1
2.53
0-1-1
1.56
0-1-1
2.53
1-0-1
1.59
0-0-2
2.30
2-0-0
3.41
0-0-2
2.80
1-1-0
2.74
0-0-2
1.29
Lokomotiv Moscow
0-2-0
3.20
1-1-0
3.39
1-1-0
3.71
1-0-1
2.00
1-0-1
2.18
1-1-0
3.37
 —
1-1-0
3.28
0-1-1
2.31
0-0-2
3.27
0-1-1
2.42
1-1-0
2.88
1-1-0
3.62
1-0-1
3.47
1-1-0
3.77
0-1-1
2.04
Orenburg
0-1-1
2.77
0-1-1
3.02
1-1-0
2.98
0-0-2
1.83
1-1-0
1.48
1-1-0
2.92
0-1-1
2.19
 —
1-0-1
1.64
0-2-0
2.68
0-0-2
1.85
1-0-1
2.32
2-0-0
3.38
0-1-1
2.73
0-0-2
2.92
0-0-2
1.36
Rostov
1-0-1
3.77
2-0-0
4.06
1-0-1
4.23
1-1-0
2.44
0-1-1
2.59
1-1-0
3.95
1-1-0
3.14
1-0-1
3.84
 —
1-1-0
3.64
1-0-1
2.82
0-1-1
3.50
2-0-0
4.15
1-1-0
3.98
0-1-1
3.92
0-1-1
2.42
Rubin Kazan
1-1-0
2.89
1-0-1
3.04
1-0-1
3.10
0-1-1
1.58
0-0-2
1.66
1-1-0
2.91
2-0-0
2.20
0-2-0
2.78
0-1-1
1.85
 —
0-1-1
2.05
0-0-2
2.62
1-1-0
3.51
2-0-0
2.93
1-0-1
3.09
0-0-2
1.56
Spartak Moscow
2-0-0
3.79
2-0-0
3.75
1-0-1
3.83
2-0-0
2.40
1-1-0
2.23
1-0-1
3.90
1-1-0
3.03
2-0-0
3.64
1-0-1
2.62
1-1-0
3.41
 —
2-0-0
3.42
2-0-0
4.42
1-0-1
3.81
2-0-0
3.85
1-0-1
2.29
Terek Grozny
0-1-1
2.94
0-1-1
3.22
1-1-0
3.28
0-0-2
1.86
1-0-1
1.85
2-0-0
3.15
0-1-1
2.56
1-0-1
3.11
1-1-0
1.97
2-0-0
2.82
0-0-2
2.04
 —
1-1-0
4.06
1-0-1
3.27
2-0-0
3.22
2-0-0
1.64
Tom Tomsk
1-0-1
1.92
0-1-1
2.25
1-0-1
2.47
0-0-2
1.28
0-0-2
1.10
0-0-2
2.04
0-1-1
1.84
0-0-2
2.06
0-0-2
1.37
0-1-1
1.94
0-0-2
1.17
0-1-1
1.45
 —
1-0-1
2.49
0-1-1
2.25
0-0-2
0.89
Ufa
0-2-0
2.47
2-0-0
2.78
2-0-0
2.92
0-0-2
1.48
0-2-0
1.47
2-0-0
2.66
1-0-1
2.00
1-1-0
2.70
0-1-1
1.53
0-0-2
2.51
1-0-1
1.69
1-0-1
2.18
1-0-1
2.99
 —
1-0-1
2.77
0-1-1
1.44
Ural
1-0-1
2.43
1-0-1
2.70
0-1-1
2.88
0-0-2
1.63
0-1-1
1.31
0-1-1
2.70
0-1-1
1.71
2-0-0
2.52
1-1-0
1.57
1-0-1
2.34
0-0-2
1.65
0-0-2
2.23
1-1-0
3.23
1-0-1
2.70
 —
0-0-2
1.36
Zenit St. Petersburg
1-0-1
3.92
0-2-0
4.24
2-0-0
4.10
0-2-0
2.82
1-0-1
2.98
2-0-0
4.27
1-1-0
3.42
2-0-0
4.18
1-1-0
3.02
2-0-0
3.95
1-0-1
3.16
0-0-2
3.86
2-0-0
4.75
1-1-0
4.09
2-0-0
4.19
 —

Points vs. Goals Scored, Allowed, and Differential

Points plotted against goals scored, allowed, and differential. Use the buttons to switch views; hover a team for exact values. The table gives each fit's R² and slope (the change in points per 10 goals).

Fit Metrics

R² Slope
Scored 0.80 +12.6
Allowed 0.68 -10.1
Differential 0.85 +6.5

Scoreline Distribution

Percentage of games ending with each combination of team-goals (rows) and opponent-goals (columns). The diagonal shows draws; cells below the diagonal are wins from the row team's perspective, cells above are losses. Marginal totals on the right and bottom show how often each goal count occurred regardless of opponent. Use the picker to switch between the league-wide view and any individual team.

↓ Scored | Allowed →012345+Total
013.75%14.17%5.62%3.54%1.88%0.42%39.38%
114.17%9.17%5.21%3.12%0.62%0.42%32.71%
25.62%5.21%2.92%0.83%0.42%0.21%15.21%
33.54%3.12%0.83%1.25%——8.75%
41.88%0.62%0.42%———2.92%
5+0.42%0.42%0.21%———1.04%
Total39.38%32.71%15.21%8.75%2.92%1.04%100%

Summary Statistics

Scored Allowed Difference
Mean 1.07 1.07 +0.00
SD 1.17 1.17 1.72
CV 1.09 1.09 —
Max 6 6 +6
Min 0 0 -6

Games Played: 240

↓ Scored | Allowed →012345+Total
016.67%20.00%6.67%3.33%——46.67%
116.67%10.00%3.33%3.33%——33.33%
23.33%—6.67%———10.00%
33.33%3.33%—3.33%——10.00%
4———————
5+———————
Total40.00%33.33%16.67%10.00%——100%

Summary Statistics

Scored Allowed Difference
Mean 0.83 0.97 -0.13
SD 0.99 1.00 1.31
CV 1.18 1.03 —
Max 3 3 +3
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
020.00%13.33%10.00%—6.67%—50.00%
113.33%3.33%10.00%3.33%——30.00%
2—3.33%3.33%3.33%——10.00%
33.33%3.33%—3.33%——10.00%
4———————
5+———————
Total36.67%23.33%23.33%10.00%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 0.80 1.27 -0.47
SD 1.00 1.26 1.53
CV 1.25 0.99 —
Max 3 4 +3
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%20.00%10.00%10.00%3.33%3.33%60.00%
110.00%10.00%—3.33%3.33%—26.67%
26.67%—————6.67%
36.67%—————6.67%
4———————
5+———————
Total36.67%30.00%10.00%13.33%6.67%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 0.60 1.33 -0.73
SD 0.89 1.45 1.96
CV 1.49 1.08 —
Max 3 5 +3
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%3.33%3.33%———20.00%
120.00%10.00%3.33%3.33%——36.67%
213.33%6.67%3.33%———23.33%
36.67%—————6.67%
413.33%—————13.33%
5+———————
Total66.67%20.00%10.00%3.33%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.57 0.50 +1.07
SD 1.28 0.82 1.68
CV 0.82 1.64 —
Max 4 3 +4
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
020.00%6.67%3.33%———30.00%
110.00%16.67%6.67%———33.33%
26.67%10.00%3.33%———20.00%
36.67%——3.33%——10.00%
43.33%—————3.33%
5+—3.33%————3.33%
Total46.67%36.67%13.33%3.33%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.33 0.73 +0.60
SD 1.30 0.83 1.45
CV 0.97 1.13 —
Max 5 3 +4
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%16.67%3.33%6.67%——40.00%
1—13.33%10.00%10.00%——33.33%
23.33%3.33%6.67%———13.33%
33.33%6.67%————10.00%
43.33%—————3.33%
5+———————
Total23.33%40.00%20.00%16.67%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.03 1.30 -0.27
SD 1.13 1.02 1.64
CV 1.09 0.79 —
Max 4 3 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
016.67%13.33%6.67%—3.33%—40.00%
16.67%16.67%3.33%———26.67%
23.33%6.67%3.33%———13.33%
36.67%——3.33%——10.00%
46.67%—————6.67%
5+—3.33%————3.33%
Total40.00%40.00%13.33%3.33%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.30 0.90 +0.40
SD 1.53 0.99 1.92
CV 1.18 1.11 —
Max 6 4 +5
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%23.33%6.67%3.33%3.33%—50.00%
16.67%13.33%3.33%3.33%——26.67%
23.33%6.67%—3.33%——13.33%
33.33%3.33%—3.33%——10.00%
4———————
5+———————
Total26.67%46.67%10.00%13.33%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 0.83 1.20 -0.37
SD 1.02 1.10 1.47
CV 1.22 0.91 —
Max 3 4 +3
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
030.00%13.33%3.33%———46.67%
113.33%—6.67%———20.00%
26.67%6.67%—3.33%——16.67%
36.67%—————6.67%
4—3.33%3.33%———6.67%
5+3.33%—————3.33%
Total60.00%23.33%13.33%3.33%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.20 0.60 +0.60
SD 1.54 0.86 1.67
CV 1.28 1.43 —
Max 6 3 +6
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
016.67%16.67%6.67%———40.00%
110.00%6.67%6.67%3.33%3.33%—30.00%
23.33%10.00%3.33%—3.33%—20.00%
33.33%3.33%3.33%———10.00%
4———————
5+———————
Total33.33%36.67%20.00%3.33%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.00 1.13 -0.13
SD 1.02 1.14 1.38
CV 1.02 1.00 —
Max 3 4 +3
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
0—3.33%—6.67%3.33%—13.33%
136.67%6.67%————43.33%
26.67%10.00%3.33%—3.33%—23.33%
33.33%10.00%3.33%———16.67%
43.33%—————3.33%
5+———————
Total50.00%30.00%6.67%6.67%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.53 0.90 +0.63
SD 1.04 1.21 1.73
CV 0.68 1.35 —
Max 4 4 +4
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%13.33%3.33%6.67%3.33%—40.00%
110.00%6.67%3.33%3.33%——23.33%
2—16.67%————16.67%
3—13.33%————13.33%
4—3.33%————3.33%
5+——3.33%———3.33%
Total23.33%53.33%10.00%10.00%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.27 1.17 +0.10
SD 1.39 1.02 1.75
CV 1.10 0.87 —
Max 5 4 +3
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%23.33%6.67%16.67%3.33%3.33%56.67%
110.00%3.33%10.00%3.33%—6.67%33.33%
2——6.67%———6.67%
3———3.33%——3.33%
4———————
5+———————
Total13.33%26.67%23.33%23.33%3.33%10.00%100%

Summary Statistics

Scored Allowed Difference
Mean 0.57 2.13 -1.57
SD 0.77 1.61 1.76
CV 1.37 0.76 —
Max 3 6 +1
Min 0 0 -6

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%13.33%10.00%———36.67%
133.33%10.00%3.33%6.67%——53.33%
23.33%3.33%—3.33%——10.00%
3———————
4———————
5+———————
Total50.00%26.67%13.33%10.00%——100%

Summary Statistics

Scored Allowed Difference
Mean 0.73 0.83 -0.10
SD 0.64 1.02 1.18
CV 0.87 1.22 —
Max 2 3 +2
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%20.00%10.00%3.33%3.33%—40.00%
116.67%13.33%3.33%6.67%3.33%—43.33%
26.67%—3.33%——3.33%13.33%
3——3.33%———3.33%
4———————
5+———————
Total26.67%33.33%20.00%10.00%6.67%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 0.80 1.47 -0.67
SD 0.81 1.36 1.56
CV 1.01 0.93 —
Max 3 5 +2
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%6.67%————20.00%
113.33%6.67%10.00%———30.00%
223.33%—3.33%———26.67%
33.33%6.67%3.33%———13.33%
4—3.33%3.33%———6.67%
5+3.33%—————3.33%
Total56.67%23.33%20.00%———100%

Summary Statistics

Scored Allowed Difference
Mean 1.67 0.63 +1.03
SD 1.32 0.81 1.45
CV 0.79 1.28 —
Max 5 2 +5
Min 0 0 -1

Games Played: 30

Season Summary

Every team's regular-season finish compared against 100,000 simulations. Click any column header to sort. Luck is the team's actual points minus the sim's mean — positive means the team beat the model. Percentile is where the actual result fell in the team's sim distribution (e.g. 90% = the team did this well or better in only 10% of sims).

Team Elo Points Avg Luck Percentile Min 5th Q1 Median Q3 95th Max
CSKA Moscow 2010 62 55.32 +6.68 88.0% 40 45 51 55 59 67 73
Zenit St. Petersburg 2007 61 56.64 +4.36 76.0% 42 46 53 56 61 67 71
Krasnodar 1955 49 54.11 -5.11 26.0% 40 43 49 53 57 68 73
Rostov 1931 48 53.86 -5.86 25.0% 39 45 48 53 58 65 75
Spartak Moscow 1916 69 50.37 +18.63 100.0% 32 38 46 51 55 61 69
Lokomotiv Moscow 1879 42 45.00 -3.00 35.0% 30 33 40 44 49 57 62
Terek Grozny 1842 48 40.26 +7.74 90.0% 21 29 35 41 45 51 56
Rubin Kazan 1788 38 38.19 -0.19 52.0% 24 27 34 37 42 49 57
Ufa 1770 43 34.08 +8.92 90.0% 18 22 29 34 38 45 56
Orenburg 1755 30 35.34 -5.34 21.0% 21 26 31 35 39 44 50
Amkar Perm 1753 35 36.13 -1.13 41.0% 17 25 33 37 40 44 54
Krylia Sovetov 1752 28 34.38 -6.38 17.0% 14 23 30 34 38 45 59
Arsenal Tula 1738 28 31.11 -3.11 36.0% 18 21 26 30 35 42 50
Anzhi Makhachkala 1718 30 33.14 -3.14 37.0% 20 23 28 33 37 43 49
Ural 1709 30 32.76 -2.76 38.0% 18 23 28 33 38 42 54
Tom Tomsk 1579 14 26.98 -12.98 3.0% 8 17 23 27 31 38 42

Point Totals in Context

How did each team's actual results compare to their simulated points, Elo rating, average opponent Elo, and percentile within simulated outcomes? Use the buttons to switch between views. In each chart, dashed crosshairs at the league means split the plot into four quadrants: pastel green (team did well, model agreed), pastel red (team did poorly, model agreed), and pastel yellow (model and reality disagreed).

Home-Field Advantage Edge

The simulation applies the same home-field boost to every game across the league, so the per-game home win probabilities bake in the model's idea of HFA. For each team, we sum expected points at home and compare to actual home points, and the same on the road. The bar shows (home points above expected) minus (away points above expected). A tall positive bar means the team's home/road split exceeded what the model predicted — a real fortress effect. A tall negative bar means the reverse: they played worse at home or better on the road than expected.

Season Trends

How each metric evolved across the season - Elo rating, actual and projected points, title/promotion probability, and relegation probability - day by day.

Edges & Scoring

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Home Edge
Share of matches won by the home team minus the share won by the away team.
No Edge: under 14% * Slight Edge: 14% to 17.5% * Clear Edge: 17.5% to 24.5% * Strong Edge: 24.5% and up.
Elo Value
Number of Elo rating points one goal is worth. A team this many Elo points better than another is expected to win by one goal on a neutral field.
Scoring Tilt
Average home goals minus average away goals per match. The gold line is the home goals edge implied by the scoring value of an Elo point and the home-field Elo bonus.
Road-Tilted: under -0.2 * Neutral: -0.2 to 0.5 * Home-Tilted: 0.5 to 1.2 * Strong Home: 1.2 and up.
Home Edge
HomeDrawAway
+20.42%
Clear Edge
46.67%27.08%26.25%
Elo Value
Home Edge
173 Elo
0.006 goals per Elo point
071.95500
Scoring Tilt
Expected
+0.38 goals
Neutral
-2+0.42+2

Title Race

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Title-Race Openness
Effective number of teams with a live shot at finishing 1st, from the simulation. 1 means the favorite is a near-lock; larger means a wide-open race. Equal to 1 divided by the sum of squared title odds.
One-Team Race: under 2 * Top-Heavy: 2 to 3 * Open: 3 to 4 * Wide Open: 4 and up.
Champion Preseason Odds
Preseason probability that the eventual champion would finish 1st, from the simulation. The dot marks their rank across all teams, from longshot to favorite.
Preseason Favorite: 1st * Among the Favorites: 2nd to 3rd * Middle of the Pack: 4th to 8th * Longshot: 9th or lower.
Title Margin
Points-per-game gap between the champion and the runner-up. Shown per game so it reads the same across long and short seasons. The gold line is the winning margin the model expected, so a dot to the right means a more one-sided race than projected. A title won on goal difference shows 0.00.
Photo Finish: under 0.07 * Tight Race: 0.07 to 0.15 * Comfortable: 0.15 to 0.27 * Runaway: 0.27 and up.
Title-Race Openness
4.2
Wide Open
123410
Champion Preseason Odds
8%
Spartak Moscow, 5th of 16
LongshotFavorite
Title Margin
Expected
0.23/gm
Comfortable
00.150.5/gm

Simulation-Based Surprises

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Luck Spread
Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.32 * Some Luck: 5.32 to 7.97 * Lucky: 7.97 to 10.63 * Wild Swing: 10.63 and up.
Average Finish Error
Average gap between where each team was projected to finish and where they actually finished in the table.
Pinpoint: under 1.79 * Close: 1.79 to 2.68 * Off: 2.68 to 3.57 * Way Off: 3.57 and up.
Biggest Overachiever
The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 16 typically lands.
Biggest Underachiever
The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 16 typically lands.
Season Outliers
Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 16 * As Expected: 16 to 25.6 * Several Outliers: 25.6 to 35.2 * Many Outliers: 35.2 and up.
Luck Spread
Expected
7.44 points
Some Luck
06.6517
Average Finish Error
Expected
2.00
Close
02.235
Biggest Overachiever
Expected 96.88%
100.00%
Spartak Moscow
50100
Biggest Underachiever
Expected 3.12%
3.00%
Tom Tomsk
050
Season Outliers
Expected
2 of 16
Minimal Outliers
01.68

Parity

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Gini Index
How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.15 * Even: 0.15 to 0.17 * Top-Heavy: 0.17 to 0.19 * Lopsided: 0.19 and up.
Noll-Scully
Take a league where every match is a coin flip and nobody is better than anybody. You would still get a table, with a leader and a bottom club, purely by luck, and you can work out how far apart that table would be. This is the real table measured against it. At 1.00 the season was no more spread out than pure chance; at 2.00 it was twice as spread out, which takes genuine differences in quality. Dividing by the luck figure is what makes seasons of different lengths comparable, because a short season spreads a table by luck alone far more than a long one does. Elo SD in the corner is the same question in rating points: how far apart the teams finished on the ratings.
Coin-Flip Parity: under 1.7 * Moderate Separation: 1.7 to 1.85 * Strong Separation: 1.85 to 2 * Wide Separation: 2 and up.
Interquartile Edge
Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 66% * Slight Edge: 66% to 69.5% * Clear Edge: 69.5% to 72.5% * Wide Edge: 72.5% and up.
Best vs. Worst
Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 86.5% * Clear Edge: 86.5% to 90.5% * Strong Edge: 90.5% to 94% * Dominant: 94% and up.
Close Games
Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 61% * Some Drama: 61% to 66% * Frequent: 66% to 69% * Very Frequent: 69% and up.
Blowouts
Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 12% * Occasional: 12% to 13% * Frequent: 13% to 16% * Very Frequent: 16% and up.
Gini Index
0.20
Lopsided
00.150.5
Noll-Scully
Elo SD: 120.25
2.07
Wide Separation
11.722.5
Interquartile Edge
73%
Wide Edge
50%66%72.5%100%
Best vs. Worst
Baseline 93%
92%
Strong Edge
50%100%
Close Games
Expected
68%
Frequent
0%62%100%
Blowouts
Expected
14%
Frequent
0%15%100%

Predictability

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Brier Score
How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance
How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.33 * Slight Separation: 0.33 to 0.37 * Notable Separation: 0.37 to 0.4 * Lopsided: 0.4 and up.
Strangeness
How wild the final table was versus what the model expected. A value of 1 means teams landed about one standard deviation from their projections on average. Above 1 is a stranger season; below 1 hugged the projections.
Very Predictable: under 0.8 * As Expected: 0.8 to 1.1 * Wilder Than Modeled: 1.1 to 1.4 * Chaotic: 1.4 and up.
Repeatability
How closely the final table order matched the preseason Elo order, by Spearman rank correlation. Higher means last season's ratings strongly predicted this season's finish. Shows N/A for an inaugural season.
Weak Carryover: under 0.59 * Some Carryover: 0.59 to 0.67 * Strong Carryover: 0.67 to 0.72 * Near-Lock: 0.72 and up.
Upset Rate
Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 19% * As Expected: 19% to 21% * Upset-Prone: 21% to 23.5% * Very Upset-Prone: 23.5% and up.
Clear Favorite Upset Rate
Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 15.5% * As Expected: 15.5% to 18% * Shaky Favorites: 18% to 19% * Very Shaky: 19% and up.
Brier Score
Expected
0.58
Predictable
00.602
Matchup Imbalance
0.39
Notable Separation
00.330.40.5
Strangeness
Expected
1.19
Wilder Than Modeled
01.002
Repeatability
0.70
Strong Carryover
00.590.721
Upset Rate
Expected
18%
Chalky
0%22%50%
Clear Favorite Upset Rate
Expected
16%
As Expected
0%20%50%

Calibration

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.11 * Near Noise Ceiling: 0.11 to 0.16 * Above Noise: 0.16 to 0.22 * Well Above Noise: 0.22 and up.
Probability calibration
0.57
Excellent
0.010.050.10.51
Calibration slope
Ideal
1.25
Underconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.072
Well Within Noise
00.1090.25

Promotion Playoff

The path the promotion-playoff teams took to determine the final promotion spot. The sections below show matchup heatmaps and round-by-round simulation outcomes.

First Round

Arsenal Tula 2
Yenisey Krasnoyarsk 2

Leg 1: Yenisey Krasnoyarsk 2-1 Arsenal Tula

Leg 2: Arsenal Tula 1-0 Yenisey Krasnoyarsk

SKA-Khabarovsk 5
Orenburg 3

Leg 1: SKA-Khabarovsk 0-0 Orenburg

Leg 2: Orenburg 3-5 SKA-Khabarovsk

Sim: 2.0%

Final Table Odds

Each cell is the probability — across 100,000 simulations — that the team (row) finished at that position (column). Rows are sorted by actual finish (champion at top, bottom of the table at the bottom).

Team12345678910111213141516
Spartak Moscow8.00%9.00%18.00%16.00%22.00%11.00%3.00%3.00%4.00%1.00%3.00%—2.00%———
CSKA Moscow22.00%27.00%17.00%16.00%10.00%4.00%1.00%3.00%————————
Zenit St. Petersburg35.00%22.00%13.00%16.00%7.00%5.00%1.00%1.00%————————
Krasnodar18.00%14.00%22.00%16.00%14.00%10.00%3.00%3.00%————————
Terek Grozny—1.00%—4.00%10.00%10.00%21.00%13.00%10.00%4.00%11.00%3.00%7.00%3.00%3.00%—
Rostov16.00%20.00%16.00%18.00%16.00%10.00%3.00%1.00%————————
Ufa——1.00%—1.00%7.00%3.00%8.00%10.00%11.00%8.00%9.00%13.00%12.00%7.00%10.00%
Lokomotiv Moscow1.00%3.00%10.00%9.00%11.00%20.00%19.00%7.00%4.00%6.00%3.00%3.00%2.00%2.00%——
Rubin Kazan—2.00%2.00%3.00%—4.00%12.00%11.00%19.00%9.00%14.00%8.00%7.00%3.00%4.00%2.00%
Amkar Perm—1.00%—1.00%2.00%5.00%10.00%12.00%12.00%12.00%10.00%13.00%4.00%6.00%9.00%3.00%
Ural——1.00%—1.00%—6.00%10.00%6.00%5.00%7.00%15.00%11.00%18.00%8.00%12.00%
Anzhi Makhachkala————2.00%4.00%2.00%7.00%11.00%8.00%15.00%10.00%8.00%9.00%15.00%9.00%
Orenburg———1.00%1.00%2.00%6.00%10.00%11.00%16.00%12.00%11.00%8.00%12.00%5.00%5.00%
Arsenal Tula————1.00%1.00%3.00%5.00%4.00%9.00%7.00%9.00%14.00%10.00%23.00%14.00%
Krylia Sovetov—1.00%——2.00%7.00%6.00%6.00%7.00%16.00%4.00%11.00%14.00%9.00%8.00%9.00%
Tom Tomsk——————1.00%—2.00%3.00%6.00%8.00%10.00%16.00%18.00%36.00%

Points Required Per Position

The empirical CDF of simulated point totals per finishing position. Each curve shows, for one position (1st, 2nd, ..., last), the spread of point totals teams accumulated across simulations. Reading the curve at the 50% mark gives the median points typically needed to finish at that position. Steep curves mean the position is tightly clustered around a particular point range; shallow curves mean the position came with a wide variety of point totals.

Stochastic Promotion/Relegation Outcomes

Across 100,000 regular-season simulations from preseason Elo, the probability of each team's next-season outcome — promotion-positive outcomes on the left, relegation-positive on the right. The round buttons switch to heatmaps of how often each pair of teams met in that round of the playoff across the simulations, since every iteration produces a different field.

Team Same level Lost relegation playoff Direct relegation
CSKA Moscow 100% — —
Krasnodar 100% — —
Rostov 100% — —
Zenit St. Petersburg 100% — —
Spartak Moscow 98.00% 2.00% —
Lokomotiv Moscow 96.00% 4.00% —
Terek Grozny 87.00% 10.00% 3.00%
Rubin Kazan 84.00% 10.00% 6.00%
Amkar Perm 78.00% 10.00% 12.00%
Krylia Sovetov 60.00% 23.00% 17.00%
Anzhi Makhachkala 59.00% 17.00% 24.00%
Ufa 58.00% 25.00% 17.00%
Ural 51.00% 29.00% 20.00%
Tom Tomsk 20.00% 26.00% 54.00%
Arsenal Tula — 100% —
Orenburg — 100% —
Loser →
↓ Winner
Amkar PermAnzhi MakhachkalaArsenal TulaDynamo MoscowFakel VoronezhKhimkiKrylia SovetovKuban Krasnodar (1st)Luch-Energiya VladivostokMordovia SaranskOrenburgRubin KazanSKA-KhabarovskShinnik YaroslavlSibir NovosibirskSokol SaratovSpartak NalchikTambovTerek GroznyTom TomskTosnoTyumenUfaUralVolgar AstrakhanYenisey Krasnoyarsk
Amkar Perm33.3%3.00%100.0%1.00%50.0%4.00%100.0%1.00%100.0%1.00%75.0%4.00%100.0%1.00%50.0%2.00%0.0%1.00%
Anzhi Makhachkala0.0%3.00%100.0%3.00%75.0%4.00%75.0%4.00%66.7%3.00%33.3%3.00%100.0%1.00%100.0%3.00%20.0%10.00%0.0%1.00%
Arsenal Tula33.3%3.00%100.0%2.00%75.0%4.00%100.0%1.00%57.1%7.00%100.0%1.00%100.0%1.00%100.0%1.00%100.0%3.00%100.0%5.00%100.0%1.00%
Dynamo Moscow66.7%3.00%100.0%3.00%66.7%3.00%0.0%1.00%66.7%3.00%0.0%1.00%100.0%2.00%0.0%1.00%
Fakel Voronezh0.0%1.00%0.0%3.00%0.0%2.00%0.0%3.00%50.0%2.00%0.0%1.00%33.3%3.00%100.0%1.00%
Khimki0.0%1.00%0.0%1.00%
Krylia Sovetov100.0%1.00%100.0%3.00%100.0%2.00%100.0%2.00%100.0%1.00%50.0%4.00%0.0%1.00%75.0%4.00%75.0%4.00%50.0%2.00%
Kuban Krasnodar (1st)50.0%4.00%25.0%4.00%25.0%4.00%0.0%2.00%0.0%1.00%50.0%2.00%80.0%5.00%33.3%3.00%50.0%4.00%
Luch-Energiya Vladivostok0.0%1.00%
Mordovia Saransk0.0%1.00%25.0%4.00%0.0%1.00%0.0%2.00%0.0%2.00%100.0%1.00%50.0%2.00%33.3%3.00%
Orenburg33.3%3.00%50.0%2.00%100.0%1.00%100.0%2.00%66.7%6.00%100.0%2.00%100.0%1.00%100.0%3.00%0.0%3.00%50.0%2.00%
Rubin Kazan100.0%1.00%100.0%1.00%0.0%1.00%100.0%1.00%
SKA-Khabarovsk25.0%4.00%33.3%3.00%42.9%7.00%0.0%1.00%33.3%6.00%0.0%1.00%0.0%3.00%0.0%2.00%
Shinnik Yaroslavl0.0%1.00%66.7%3.00%0.0%1.00%50.0%4.00%0.0%2.00%0.0%1.00%0.0%1.00%50.0%2.00%33.3%3.00%0.0%1.00%
Sibir Novosibirsk0.0%1.00%0.0%1.00%100.0%1.00%0.0%1.00%
Sokol Saratov0.0%1.00%0.0%1.00%
Spartak Nalchik0.0%3.00%0.0%1.00%100.0%2.00%0.0%1.00%
Tambov0.0%3.00%25.0%4.00%0.0%3.00%0.0%1.00%50.0%2.00%0.0%1.00%100.0%1.00%
Terek Grozny50.0%2.00%100.0%1.00%100.0%1.00%100.0%1.00%
Tom Tomsk0.0%2.00%100.0%1.00%100.0%1.00%20.0%5.00%0.0%1.00%100.0%1.00%50.0%2.00%0.0%2.00%50.0%2.00%50.0%2.00%0.0%1.00%
Tosno50.0%2.00%80.0%10.00%0.0%5.00%25.0%4.00%100.0%3.00%100.0%1.00%100.0%1.00%25.0%4.00%
Tyumen100.0%1.00%0.0%1.00%0.0%1.00%50.0%2.00%0.0%1.00%
Ufa66.7%3.00%100.0%1.00%66.7%3.00%50.0%2.00%100.0%3.00%66.7%3.00%100.0%1.00%100.0%1.00%100.0%1.00%0.0%1.00%100.0%1.00%
Ural100.0%1.00%0.0%1.00%50.0%4.00%66.7%3.00%100.0%2.00%100.0%1.00%0.0%1.00%75.0%4.00%100.0%1.00%100.0%1.00%100.0%1.00%
Volgar Astrakhan100.0%1.00%50.0%2.00%50.0%2.00%0.0%1.00%0.0%1.00%
Yenisey Krasnoyarsk100.0%1.00%0.0%1.00%

Actual Promotion/Relegation Outcomes

Just the teams that actually reached the promotion playoff. With the field fixed in place, the playoff sim re-runs every tie and tallies how often each team won each round — the table gives those probabilities, and the final round's column is the chance of winning the playoff outright. The round buttons switch to heatmaps of how often each pairing met in that round.

Team Finals
Orenburg 30.95%
Arsenal Tula 30.40%
Yenisey Krasnoyarsk 19.60%
SKA-Khabarovsk 19.05%
Loser →
↓ Winner
Arsenal TulaOrenburgSKA-KhabarovskYenisey Krasnoyarsk
Arsenal Tula60.8%50.00%
Orenburg61.9%50.00%
SKA-Khabarovsk38.1%50.00%
Yenisey Krasnoyarsk39.2%50.00%

Overall Game Log

Summary of every completed game this season. Sort any column by clicking its header.

Date Opponent ScoreExcitement Pre Elo Opp Elo Win % Tie % Loss %Proj. Margin Elo Δ Points
2016-07-30 CSKA Moscow D 0-068.2 1754 1924 23.81% 27.54% 48.65%-0.56 +1.3 1
2016-07-30 @ Anzhi Makhachkala D 0-068.2 1924 1754 48.65% 27.54% 23.81%+0.56 -1.3 1
2016-07-30 Lokomotiv Moscow D 0-068.9 1923 1832 56.82% 25.43% 17.76%+0.94 -2.2 1
2016-07-30 @ Zenit St. Petersburg D 0-068.9 1832 1923 17.76% 25.43% 56.82%-0.94 +2.1 1
2016-07-30 Orenburg W 1-055.8 1913 1813 57.91% 25.05% 17.04%+1.00 +4.5 3
2016-07-30 @ Rostov L 0-155.8 1813 1913 17.04% 25.05% 57.91%-1.00 -4.6 0
2016-07-31 Arsenal Tula W 4-051.8 1850 1791 53.18% 26.51% 20.31%+0.76 +19.3 3
2016-07-31 @ Spartak Moscow L 0-451.8 1791 1850 20.31% 26.51% 53.18%-0.76 -19.3 0
2016-07-31 Krylia Sovetov W 1-057.2 1815 1759 52.76% 26.62% 20.62%+0.74 +5.5 3
2016-07-31 @ Terek Grozny L 0-157.2 1759 1815 20.62% 26.62% 52.76%-0.74 -5.5 0
2016-07-31 Ufa W 2-054.3 1774 1734 50.89% 27.08% 22.04%+0.65 +10.9 3
2016-07-31 @ Ural L 0-254.3 1734 1774 22.04% 27.08% 50.89%-0.65 -10.9 0
2016-08-01 Amkar Perm D 0-068.0 1785 1756 49.64% 27.35% 23.01%+0.59 -1.4 1
2016-08-01 @ Rubin Kazan D 0-068.0 1756 1785 23.01% 27.35% 49.64%-0.59 +1.4 1
2016-08-01 Tom Tomsk W 3-048.2 1940 1758 66.26% 21.56% 12.17%+1.47 +8.7 3
2016-08-01 @ Krasnodar L 0-348.2 1758 1940 12.17% 21.56% 66.26%-1.47 -8.7 0
2016-08-06 Rubin Kazan W 1-059.7 1772 1784 44.30% 28.21% 27.49%+0.35 +7.0 3
2016-08-06 @ Arsenal Tula L 0-159.7 1784 1772 27.49% 28.21% 44.30%-0.35 -7.0 1
2016-08-06 Zenit St. Petersburg D 0-068.4 1723 1920 21.10% 26.78% 52.12%-0.73 +1.7 1
2016-08-06 @ Ufa D 0-068.4 1920 1723 52.12% 26.78% 21.10%+0.73 -1.7 2
2016-08-07 Anzhi Makhachkala W 2-055.8 1757 1756 45.99% 27.99% 26.02%+0.42 +12.6 4
2016-08-07 @ Amkar Perm L 0-255.8 1756 1757 26.02% 27.99% 45.99%-0.42 -12.6 1
2016-08-07 CSKA Moscow L 0-160.8 1809 1922 30.20% 28.51% 41.29%-0.24 -7.5 0
2016-08-07 @ Orenburg W 1-060.8 1922 1809 41.29% 28.51% 30.20%+0.24 +7.5 4
2016-08-07 Tom Tomsk D 2-279.8 1835 1750 56.21% 25.62% 18.17%+0.91 -1.4 2
2016-08-07 @ Lokomotiv Moscow D 2-279.8 1750 1835 18.17% 25.62% 56.21%-0.91 +1.4 1
2016-08-07 Ural D 0-069.4 1918 1785 61.46% 23.71% 14.83%+1.19 -2.6 4
2016-08-07 @ Rostov D 0-069.4 1785 1918 14.83% 23.71% 61.46%-1.19 +2.6 4
2016-08-08 Terek Grozny W 4-049.6 1948 1820 60.95% 23.91% 15.13%+1.16 +14.4 6
2016-08-08 @ Krasnodar L 0-449.6 1820 1948 15.13% 23.91% 60.95%-1.16 -14.4 3
2016-08-08 Krylia Sovetov W 1-055.2 1869 1754 59.59% 24.44% 15.97%+1.09 +4.3 6
2016-08-08 @ Spartak Moscow L 0-155.2 1754 1869 15.97% 24.44% 59.59%-1.09 -4.3 0
2016-08-12 Rostov W 3-270.0 1919 1915 46.31% 27.94% 25.74%+0.44 +5.9 5
2016-08-12 @ Zenit St. Petersburg L 2-370.0 1915 1919 25.74% 27.94% 46.31%-0.44 -5.9 4
2016-08-13 CSKA Moscow L 0-159.6 1787 1930 26.70% 28.10% 45.20%-0.41 -6.8 4
2016-08-13 @ Ural W 1-059.6 1930 1787 45.20% 28.10% 26.70%+0.41 +6.8 7
2016-08-13 Krasnodar D 1-174.1 1750 1963 19.72% 26.29% 53.99%-0.82 +1.7 1
2016-08-13 @ Krylia Sovetov D 1-174.1 1963 1750 53.99% 26.29% 19.72%+0.82 -1.7 7
2016-08-13 Spartak Moscow D 1-173.3 1777 1874 32.42% 28.65% 38.93%-0.14 +0.3 2
2016-08-13 @ Rubin Kazan D 1-173.3 1874 1777 38.93% 28.65% 32.42%+0.14 -0.3 7
2016-08-14 Arsenal Tula W 1-060.6 1743 1779 41.00% 28.53% 30.47%+0.21 +7.5 4
2016-08-14 @ Anzhi Makhachkala L 0-160.6 1779 1743 30.47% 28.53% 41.00%-0.21 -7.5 3
2016-08-14 Lokomotiv Moscow D 1-173.3 1806 1833 42.14% 28.44% 29.42%+0.26 -0.6 4
2016-08-14 @ Terek Grozny D 1-173.3 1833 1806 29.42% 28.44% 42.14%-0.26 +0.6 3
2016-08-14 Ufa W 1-058.0 1751 1725 49.23% 27.43% 23.34%+0.57 +6.1 4
2016-08-14 @ Tom Tomsk L 0-158.0 1725 1751 23.34% 27.43% 49.23%-0.57 -6.1 1
2016-08-15 Amkar Perm D 0-068.1 1801 1769 49.90% 27.29% 22.81%+0.60 -1.4 1
2016-08-15 @ Orenburg D 0-068.1 1769 1801 22.81% 27.29% 49.90%-0.60 +1.4 5
2016-08-19 Anzhi Makhachkala L 1-272.0 1777 1751 49.22% 27.43% 23.35%+0.57 -10.2 2
2016-08-19 @ Rubin Kazan W 2-172.0 1751 1777 23.35% 27.43% 49.22%-0.57 +10.2 7
2016-08-20 Terek Grozny L 1-364.1 1719 1805 33.87% 28.70% 37.43%-0.08 -13.3 1
2016-08-20 @ Ufa W 3-164.1 1805 1719 37.43% 28.70% 33.87%+0.08 +13.3 7
2016-08-20 CSKA Moscow D 1-173.5 1925 1937 44.24% 28.22% 27.54%+0.35 -0.8 6
2016-08-20 @ Zenit St. Petersburg D 1-173.5 1937 1925 27.54% 28.22% 44.24%-0.35 +0.8 8
2016-08-20 Tom Tomsk W 3-049.0 1909 1757 63.40% 22.89% 13.72%+1.30 +9.9 7
2016-08-20 @ Rostov L 0-349.0 1757 1909 13.72% 22.89% 63.40%-1.30 -9.9 4
2016-08-21 Krasnodar W 2-059.8 1873 1961 33.67% 28.70% 37.64%-0.09 +16.6 10
2016-08-21 @ Spartak Moscow L 0-259.8 1961 1873 37.64% 28.70% 33.67%+0.09 -16.6 7
2016-08-21 Krylia Sovetov D 0-068.6 1834 1751 55.94% 25.71% 18.35%+0.89 -2.1 4
2016-08-21 @ Lokomotiv Moscow D 0-068.6 1751 1834 18.35% 25.71% 55.94%-0.89 +2.1 2
2016-08-21 Ural W 1-059.6 1771 1781 44.57% 28.18% 27.25%+0.36 +6.9 8
2016-08-21 @ Amkar Perm L 0-159.6 1781 1771 27.25% 28.18% 44.57%-0.36 -6.9 4
2016-08-22 Orenburg D 0-067.8 1772 1800 42.05% 28.45% 29.50%+0.25 -0.6 4
2016-08-22 @ Arsenal Tula D 0-067.8 1800 1772 29.50% 28.45% 42.05%-0.25 +0.6 2
2016-08-26 Ufa L 0-166.3 1753 1705 51.90% 26.84% 21.26%+0.69 -11.3 2
2016-08-26 @ Krylia Sovetov W 1-066.3 1705 1753 21.26% 26.84% 51.90%-0.69 +11.3 4
2016-08-27 Amkar Perm W 3-049.2 1924 1778 62.80% 23.15% 14.06%+1.26 +10.2 9
2016-08-27 @ Zenit St. Petersburg L 0-349.2 1778 1924 14.06% 23.15% 62.80%-1.26 -10.2 8
2016-08-27 CSKA Moscow L 0-157.8 1747 1938 21.76% 26.99% 51.25%-0.69 -5.7 4
2016-08-27 @ Tom Tomsk W 1-057.8 1938 1747 51.25% 26.99% 21.76%+0.69 +5.7 11
2016-08-27 Rubin Kazan D 1-173.6 1800 1767 50.13% 27.24% 22.63%+0.61 -1.3 3
2016-08-27 @ Orenburg D 1-173.6 1767 1800 22.63% 27.24% 50.13%-0.61 +1.3 3
2016-08-28 Arsenal Tula D 1-173.3 1774 1771 46.20% 27.96% 25.85%+0.43 -0.9 5
2016-08-28 @ Ural D 1-173.3 1771 1774 25.85% 27.96% 46.20%-0.43 +0.9 5
2016-08-28 Lokomotiv Moscow L 1-274.5 1944 1832 59.30% 24.55% 16.15%+1.07 -11.9 7
2016-08-28 @ Krasnodar W 2-174.5 1832 1944 16.15% 24.55% 59.30%-1.07 +11.9 7
2016-08-28 Rostov W 2-169.8 1818 1919 31.88% 28.62% 39.50%-0.17 +8.6 10
2016-08-28 @ Terek Grozny L 1-269.8 1919 1818 39.50% 28.62% 31.88%+0.17 -8.6 7
2016-08-28 Spartak Moscow L 0-256.8 1761 1890 28.32% 28.32% 43.36%-0.33 -13.5 7
2016-08-28 @ Anzhi Makhachkala W 2-056.8 1890 1761 43.36% 28.32% 28.32%+0.33 +13.5 13
2016-09-09 Krylia Sovetov W 2-159.7 1911 1742 65.05% 22.14% 12.81%+1.39 +3.2 10
2016-09-09 @ Rostov L 1-259.7 1742 1911 12.81% 22.14% 65.05%-1.39 -3.2 2
2016-09-10 Terek Grozny W 3-050.2 1943 1827 59.69% 24.41% 15.91%+1.09 +11.6 14
2016-09-10 @ CSKA Moscow L 0-350.2 1827 1943 15.91% 24.41% 59.69%-1.09 -11.6 10
2016-09-10 Anzhi Makhachkala D 0-068.2 1799 1748 52.32% 26.73% 20.94%+0.72 -1.7 4
2016-09-10 @ Orenburg D 0-068.2 1748 1799 20.94% 26.73% 52.32%-0.72 +1.7 8
2016-09-10 Tom Tomsk W 1-058.1 1768 1742 49.19% 27.44% 23.37%+0.57 +6.1 11
2016-09-10 @ Amkar Perm L 0-158.1 1742 1768 23.37% 27.44% 49.19%-0.57 -6.1 4
2016-09-11 Krasnodar D 0-068.6 1717 1933 19.49% 26.20% 54.31%-0.83 +1.9 5
2016-09-11 @ Ufa D 0-068.6 1933 1717 54.31% 26.20% 19.49%+0.83 -1.9 8
2016-09-11 Lokomotiv Moscow W 1-057.2 1903 1844 53.31% 26.48% 20.21%+0.76 +5.4 16
2016-09-11 @ Spartak Moscow L 0-157.2 1844 1903 20.21% 26.48% 53.31%-0.76 -5.4 7
2016-09-11 Zenit St. Petersburg L 0-553.9 1772 1934 24.53% 27.70% 47.76%-0.52 -28.0 5
2016-09-11 @ Arsenal Tula W 5-053.9 1934 1772 47.76% 27.70% 24.53%+0.52 +28.0 12
2016-09-12 Ural W 3-161.8 1768 1773 45.25% 28.09% 26.66%+0.39 +11.1 6
2016-09-12 @ Rubin Kazan L 1-361.8 1773 1768 26.66% 28.09% 45.25%-0.39 -11.1 5
2016-09-16 Spartak Moscow L 1-363.3 1797 1909 30.51% 28.53% 40.96%-0.23 -12.3 4
2016-09-16 @ Orenburg W 3-163.3 1909 1797 40.96% 28.53% 30.51%+0.23 +12.3 19
2016-09-17 Amkar Perm L 1-368.9 1815 1774 51.11% 27.02% 21.86%+0.66 -18.3 10
2016-09-17 @ Terek Grozny W 3-168.9 1774 1815 21.86% 27.02% 51.11%-0.66 +18.3 14
2016-09-17 Anzhi Makhachkala L 0-165.4 1762 1749 47.44% 27.76% 24.80%+0.49 -10.5 5
2016-09-17 @ Ural W 1-065.4 1749 1762 24.80% 27.76% 47.44%-0.49 +10.5 11
2016-09-17 Arsenal Tula W 1-059.3 1736 1744 44.74% 28.16% 27.10%+0.37 +6.9 7
2016-09-17 @ Tom Tomsk L 0-159.3 1744 1736 27.10% 28.16% 44.74%-0.37 -6.9 5
2016-09-17 Ufa L 0-168.3 1838 1719 60.04% 24.27% 15.69%+1.11 -12.8 7
2016-09-17 @ Lokomotiv Moscow W 1-068.3 1719 1838 15.69% 24.27% 60.04%-1.11 +12.8 8
2016-09-18 CSKA Moscow L 1-263.0 1739 1955 19.47% 26.19% 54.33%-0.83 -4.9 2
2016-09-18 @ Krylia Sovetov W 2-163.0 1955 1739 54.33% 26.19% 19.47%+0.83 +4.9 17
2016-09-18 Rostov W 2-165.0 1931 1914 48.02% 27.66% 24.32%+0.51 +5.9 11
2016-09-18 @ Krasnodar L 1-265.0 1914 1931 24.32% 27.66% 48.02%-0.51 -6.0 10
2016-09-19 Rubin Kazan W 4-152.7 1962 1779 66.44% 21.48% 12.08%+1.48 +7.3 15
2016-09-19 @ Zenit St. Petersburg L 1-452.7 1779 1962 12.08% 21.48% 66.44%-1.48 -7.3 6
2016-09-24 Krasnodar D 1-173.8 1960 1937 48.83% 27.51% 23.66%+0.55 -1.2 18
2016-09-24 @ CSKA Moscow D 1-173.8 1937 1960 23.66% 27.51% 48.83%-0.55 +1.2 12
2016-09-24 Lokomotiv Moscow W 1-056.4 1908 1825 55.93% 25.71% 18.36%+0.89 +4.9 13
2016-09-24 @ Rostov L 0-156.4 1825 1908 18.36% 25.71% 55.93%-0.89 -4.9 7
2016-09-25 Terek Grozny D 0-067.6 1737 1797 37.59% 28.70% 33.71%+0.07 -0.2 6
2016-09-25 @ Arsenal Tula D 0-067.6 1797 1737 33.71% 28.70% 37.59%-0.07 +0.2 11
2016-09-25 Ufa L 0-169.6 1921 1731 67.09% 21.16% 11.75%+1.52 -13.9 19
2016-09-25 @ Spartak Moscow W 1-069.6 1731 1921 11.75% 21.16% 67.09%-1.52 +13.9 11
2016-09-25 Ural L 0-166.1 1785 1751 50.19% 27.23% 22.58%+0.61 -11.0 4
2016-09-25 @ Orenburg W 1-066.1 1751 1785 22.58% 27.23% 50.19%-0.61 +11.0 8
2016-09-25 Zenit St. Petersburg D 2-279.8 1760 1969 20.01% 26.40% 53.59%-0.80 +1.2 12
2016-09-25 @ Anzhi Makhachkala D 2-279.8 1969 1760 53.59% 26.40% 20.01%+0.80 -1.2 16
2016-09-26 Krylia Sovetov D 0-068.2 1792 1734 53.10% 26.53% 20.37%+0.75 -1.8 15
2016-09-26 @ Amkar Perm D 0-068.2 1734 1792 20.37% 26.53% 53.10%-0.75 +1.8 3
2016-09-26 Tom Tomsk W 2-164.1 1772 1742 49.63% 27.35% 23.02%+0.59 +5.7 9
2016-09-26 @ Rubin Kazan L 1-264.1 1742 1772 23.02% 27.35% 49.63%-0.59 -5.7 7
2016-10-01 Anzhi Makhachkala W 2-166.2 1736 1761 42.46% 28.41% 29.13%+0.27 +6.9 6
2016-10-01 @ Krylia Sovetov L 1-266.2 1761 1736 29.13% 28.41% 42.46%-0.27 -6.9 12
2016-10-01 Arsenal Tula D 1-174.0 1821 1737 56.10% 25.66% 18.24%+0.90 -1.9 8
2016-10-01 @ Lokomotiv Moscow D 1-174.0 1737 1821 18.24% 25.66% 56.10%-0.90 +1.8 7
2016-10-01 Orenburg W 2-164.5 1797 1774 48.83% 27.51% 23.66%+0.55 +5.8 14
2016-10-01 @ Terek Grozny L 1-264.5 1774 1797 23.66% 27.51% 48.83%-0.55 -5.8 4
2016-10-01 Ural D 1-173.1 1737 1762 42.45% 28.41% 29.14%+0.27 -0.6 8
2016-10-01 @ Tom Tomsk D 1-173.1 1762 1737 29.14% 28.41% 42.45%-0.27 +0.6 9
2016-10-02 Amkar Perm D 1-173.1 1745 1790 39.73% 28.61% 31.66%+0.16 -0.4 12
2016-10-02 @ Ufa D 1-173.1 1790 1745 31.66% 28.61% 39.73%-0.16 +0.4 16
2016-10-02 CSKA Moscow W 2-058.1 1913 1959 39.61% 28.62% 31.78%+0.15 +14.7 16
2016-10-02 @ Rostov L 0-258.1 1959 1913 31.78% 28.62% 39.61%-0.15 -14.7 18
2016-10-02 Rubin Kazan W 1-053.9 1938 1778 64.21% 22.52% 13.27%+1.34 +3.5 15
2016-10-02 @ Krasnodar L 0-153.9 1778 1938 13.27% 22.52% 64.21%-1.34 -3.5 9
2016-10-02 Spartak Moscow W 4-262.8 1968 1907 53.46% 26.44% 20.11%+0.77 +7.8 19
2016-10-02 @ Zenit St. Petersburg L 2-462.8 1907 1968 20.11% 26.44% 53.46%-0.77 -7.8 19
2016-10-14 Ufa W 1-052.8 1944 1745 67.97% 20.73% 11.31%+1.57 +2.9 21
2016-10-14 @ CSKA Moscow L 0-152.8 1745 1944 11.31% 20.73% 67.97%-1.57 -2.9 12
2016-10-15 Krylia Sovetov W 3-052.8 1774 1743 49.88% 27.30% 22.83%+0.60 +16.4 12
2016-10-15 @ Rubin Kazan L 0-352.8 1743 1774 22.83% 27.30% 49.88%-0.60 -16.4 6
2016-10-15 Lokomotiv Moscow D 0-067.8 1791 1819 42.06% 28.45% 29.49%+0.25 -0.6 17
2016-10-15 @ Amkar Perm D 0-067.8 1819 1791 29.49% 28.45% 42.06%-0.25 +0.6 9
2016-10-15 Rostov W 1-060.6 1899 1927 42.08% 28.45% 29.48%+0.25 +7.4 22
2016-10-15 @ Spartak Moscow L 0-160.6 1927 1899 29.48% 28.45% 42.08%-0.25 -7.4 16
2016-10-16 Krasnodar D 0-068.5 1739 1941 20.62% 26.62% 52.76%-0.76 +1.7 8
2016-10-16 @ Arsenal Tula D 0-068.5 1941 1739 52.76% 26.62% 20.62%+0.76 -1.7 16
2016-10-16 Tom Tomsk W 3-160.3 1768 1736 49.95% 27.28% 22.77%+0.60 +9.8 7
2016-10-16 @ Orenburg L 1-360.3 1736 1768 22.77% 27.28% 49.95%-0.60 -9.7 8
2016-10-16 Zenit St. Petersburg L 0-253.7 1763 1976 19.69% 26.28% 54.03%-0.82 -9.9 9
2016-10-16 @ Ural W 2-053.7 1976 1763 54.03% 26.28% 19.69%+0.82 +9.9 22
2016-10-17 Terek Grozny D 0-067.7 1754 1803 39.17% 28.64% 32.19%+0.13 -0.3 13
2016-10-17 @ Anzhi Makhachkala D 0-067.7 1803 1754 32.19% 28.64% 39.17%-0.13 +0.4 15
2016-10-21 Arsenal Tula D 1-173.0 1726 1740 43.97% 28.25% 27.77%+0.34 -0.7 7
2016-10-21 @ Krylia Sovetov D 1-173.0 1740 1726 27.77% 28.25% 43.97%-0.34 +0.7 9
2016-10-22 Anzhi Makhachkala L 0-358.8 1726 1754 42.17% 28.44% 29.39%+0.26 -26.3 8
2016-10-22 @ Tom Tomsk W 3-058.8 1754 1726 29.39% 28.44% 42.17%-0.26 +26.3 16
2016-10-22 Rostov D 0-068.2 1742 1920 22.92% 27.32% 49.76%-0.62 +1.4 13
2016-10-22 @ Ufa D 0-068.2 1920 1742 49.76% 27.32% 22.92%+0.62 -1.4 17
2016-10-22 Rubin Kazan W 3-161.2 1803 1791 47.51% 27.75% 24.74%+0.49 +10.4 18
2016-10-22 @ Terek Grozny L 1-361.2 1791 1803 24.74% 27.75% 47.51%-0.49 -10.5 12
2016-10-22 Spartak Moscow L 0-159.1 1753 1907 25.43% 27.88% 46.69%-0.48 -6.5 9
2016-10-22 @ Ural W 1-059.1 1907 1753 46.69% 27.88% 25.43%+0.48 +6.5 25
2016-10-23 Amkar Perm W 1-054.2 1940 1790 63.15% 22.99% 13.86%+1.28 +3.7 19
2016-10-23 @ Krasnodar L 0-154.2 1790 1940 13.86% 22.99% 63.15%-1.28 -3.7 17
2016-10-23 CSKA Moscow W 1-064.7 1819 1947 28.50% 28.34% 43.16%-0.32 +9.8 12
2016-10-23 @ Lokomotiv Moscow L 0-164.7 1947 1819 43.16% 28.34% 28.50%+0.32 -9.8 21
2016-10-24 Orenburg W 1-052.6 1986 1778 68.79% 20.31% 10.90%+1.62 +2.8 25
2016-10-24 @ Zenit St. Petersburg L 0-152.6 1778 1986 10.90% 20.31% 68.79%-1.62 -2.8 7
2016-10-29 CSKA Moscow W 3-162.9 1913 1937 42.66% 28.39% 28.95%+0.28 +11.9 28
2016-10-29 @ Spartak Moscow L 1-362.9 1937 1913 28.95% 28.39% 42.66%-0.28 -11.8 21
2016-10-29 Rostov W 1-064.8 1786 1919 27.91% 28.27% 43.82%-0.35 +9.9 20
2016-10-29 @ Amkar Perm L 0-164.8 1919 1786 43.82% 28.27% 27.91%+0.35 -9.9 17
2016-10-30 Terek Grozny L 1-462.0 1746 1814 36.52% 28.72% 34.76%+0.02 -19.9 9
2016-10-30 @ Ural W 4-162.0 1814 1746 34.76% 28.72% 36.52%-0.02 +19.9 21
2016-10-30 Krasnodar D 0-068.2 1780 1943 24.45% 27.68% 47.87%-0.53 +1.2 17
2016-10-30 @ Anzhi Makhachkala D 0-068.2 1943 1780 47.87% 27.68% 24.45%+0.53 -1.2 20
2016-10-30 Tom Tomsk W 1-050.4 1989 1700 75.70% 16.50% 7.80%+2.09 +1.9 28
2016-10-30 @ Zenit St. Petersburg L 0-150.4 1700 1989 7.80% 16.50% 75.70%-2.09 -1.9 8
2016-10-30 Ufa L 0-261.5 1741 1743 45.54% 28.05% 26.41%+0.40 -19.2 9
2016-10-30 @ Arsenal Tula W 2-061.5 1743 1741 26.41% 28.05% 45.54%-0.40 +19.2 16
2016-10-31 Krylia Sovetov W 1-057.2 1775 1726 52.10% 26.79% 21.11%+0.70 +5.6 10
2016-10-31 @ Orenburg L 0-157.2 1726 1775 21.11% 26.79% 52.10%-0.70 -5.6 7
2016-10-31 Lokomotiv Moscow W 2-058.0 1780 1829 39.16% 28.64% 32.20%+0.13 +14.8 15
2016-10-31 @ Rubin Kazan L 0-258.0 1829 1780 32.20% 28.64% 39.16%-0.13 -14.8 12
2016-11-05 Anzhi Makhachkala W 4-052.7 1814 1781 50.07% 27.26% 22.68%+0.61 +21.3 15
2016-11-05 @ Lokomotiv Moscow L 0-452.7 1781 1814 22.68% 27.26% 50.07%-0.61 -21.3 17
2016-11-05 Rubin Kazan L 2-374.6 1763 1795 41.49% 28.49% 30.02%+0.23 -8.5 16
2016-11-05 @ Ufa W 3-274.6 1795 1763 30.02% 28.49% 41.49%-0.23 +8.5 18
2016-11-05 Spartak Moscow L 0-156.4 1698 1925 18.59% 25.82% 55.59%-0.90 -5.0 8
2016-11-05 @ Tom Tomsk W 1-056.4 1925 1698 55.59% 25.82% 18.59%+0.90 +5.0 31
2016-11-05 Ural D 2-278.7 1720 1726 45.00% 28.13% 26.87%+0.38 -0.6 8
2016-11-05 @ Krylia Sovetov D 2-278.7 1726 1720 26.87% 28.13% 45.00%-0.38 +0.6 10
2016-11-06 Amkar Perm D 2-280.5 1925 1796 61.03% 23.88% 15.09%+1.16 -1.7 22
2016-11-06 @ CSKA Moscow D 2-280.5 1796 1925 15.09% 23.88% 61.03%-1.16 +1.7 21
2016-11-06 Arsenal Tula W 4-152.5 1909 1722 66.82% 21.29% 11.88%+1.50 +7.1 20
2016-11-06 @ Rostov L 1-452.5 1722 1909 11.88% 21.29% 66.82%-1.50 -7.1 9
2016-11-06 Orenburg D 3-384.1 1942 1781 64.32% 22.47% 13.21%+1.35 -1.6 21
2016-11-06 @ Krasnodar D 3-384.1 1781 1942 13.21% 22.47% 64.32%-1.35 +1.6 11
2016-11-06 Zenit St. Petersburg W 2-171.8 1834 1991 25.12% 27.82% 47.05%-0.49 +9.9 24
2016-11-06 @ Terek Grozny L 1-271.8 1991 1834 47.05% 27.82% 25.12%+0.49 -9.9 28
2016-11-18 CSKA Moscow L 0-157.1 1715 1924 20.09% 26.43% 53.48%-0.79 -5.3 9
2016-11-18 @ Arsenal Tula W 1-057.1 1924 1715 53.48% 26.43% 20.09%+0.79 +5.3 25
2016-11-18 Rostov D 0-067.9 1803 1916 30.36% 28.52% 41.11%-0.23 +0.5 19
2016-11-18 @ Rubin Kazan D 0-067.9 1916 1803 41.11% 28.52% 30.36%+0.23 -0.5 21
2016-11-19 Lokomotiv Moscow D 1-173.2 1782 1836 38.57% 28.67% 32.76%+0.11 -0.3 12
2016-11-19 @ Orenburg D 1-173.2 1836 1782 32.76% 28.67% 38.57%-0.11 +0.3 16
2016-11-19 Ufa L 0-165.2 1760 1754 46.61% 27.89% 25.50%+0.45 -10.4 17
2016-11-19 @ Anzhi Makhachkala W 1-065.2 1754 1760 25.50% 27.89% 46.61%-0.45 +10.4 19
2016-11-20 Amkar Perm W 1-054.8 1930 1798 61.37% 23.75% 14.89%+1.18 +4.0 34
2016-11-20 @ Spartak Moscow L 0-154.8 1798 1930 14.89% 23.75% 61.37%-1.18 -4.0 21
2016-11-20 Krylia Sovetov W 3-153.6 1981 1719 73.48% 17.77% 8.75%+1.93 +3.5 31
2016-11-20 @ Zenit St. Petersburg L 1-353.6 1719 1981 8.75% 17.77% 73.48%-1.93 -3.5 8
2016-11-20 Ural W 3-047.3 1940 1727 69.29% 20.05% 10.66%+1.65 +7.5 24
2016-11-20 @ Krasnodar L 0-347.3 1727 1940 10.66% 20.05% 69.29%-1.65 -7.5 10
2016-11-21 Tom Tomsk D 0-069.3 1844 1693 63.23% 22.96% 13.81%+1.29 -2.8 25
2016-11-21 @ Terek Grozny D 0-069.3 1693 1844 13.81% 22.96% 63.23%-1.29 +2.8 9
2016-11-25 Orenburg W 1-059.9 1764 1782 43.50% 28.31% 28.19%+0.31 +7.1 22
2016-11-25 @ Ufa L 0-159.9 1782 1764 28.19% 28.31% 43.50%-0.31 -7.1 12
2016-11-26 Arsenal Tula W 1-056.0 1794 1709 56.18% 25.63% 18.19%+0.91 +4.9 24
2016-11-26 @ Amkar Perm L 0-156.0 1709 1794 18.19% 25.63% 56.18%-0.91 -4.9 9
2016-11-26 Rubin Kazan D 0-069.3 1929 1804 60.60% 24.05% 15.35%+1.14 -2.5 26
2016-11-26 @ CSKA Moscow D 0-069.3 1804 1929 15.35% 24.05% 60.60%-1.14 +2.5 20
2016-11-26 Spartak Moscow L 0-161.7 1841 1934 32.91% 28.67% 38.42%-0.12 -8.0 25
2016-11-26 @ Terek Grozny W 1-061.7 1934 1841 38.42% 28.67% 32.91%+0.12 +8.0 37
2016-11-26 Ural D 1-174.4 1836 1719 59.69% 24.41% 15.91%+1.09 -2.2 17
2016-11-26 @ Lokomotiv Moscow D 1-174.4 1719 1836 15.91% 24.41% 59.69%-1.09 +2.2 11
2016-11-27 Anzhi Makhachkala W 2-050.4 1915 1750 64.77% 22.27% 12.96%+1.38 +6.4 24
2016-11-27 @ Rostov L 0-250.4 1750 1915 12.96% 22.27% 64.77%-1.38 -6.4 17
2016-11-27 Tom Tomsk W 3-052.8 1716 1696 48.39% 27.59% 24.02%+0.53 +17.1 11
2016-11-27 @ Krylia Sovetov L 0-352.8 1696 1716 24.02% 27.59% 48.39%-0.53 -17.1 9
2016-11-27 Zenit St. Petersburg W 2-167.1 1948 1984 40.92% 28.54% 30.54%+0.21 +7.1 27
2016-11-27 @ Krasnodar L 1-267.1 1984 1948 30.54% 28.54% 40.92%-0.21 -7.1 31
2016-11-30 Arsenal Tula W 1-055.4 1806 1705 58.12% 24.98% 16.90%+1.01 +4.5 23
2016-11-30 @ Rubin Kazan L 0-155.4 1705 1806 16.90% 24.98% 58.12%-1.01 -4.5 9
2016-11-30 Orenburg W 2-050.9 1926 1775 63.33% 22.92% 13.75%+1.29 +6.9 29
2016-11-30 @ CSKA Moscow L 0-250.9 1775 1926 13.75% 22.92% 63.33%-1.29 -6.9 12
2016-11-30 Rostov W 1-066.9 1722 1922 20.85% 26.70% 52.45%-0.74 +11.4 14
2016-11-30 @ Ural L 0-166.9 1922 1722 52.45% 26.70% 20.85%+0.74 -11.4 24
2016-11-30 Ufa W 2-049.3 1977 1772 68.57% 20.42% 11.01%+1.61 +5.3 34
2016-11-30 @ Zenit St. Petersburg L 0-249.3 1772 1977 11.01% 20.42% 68.57%-1.61 -5.3 22
2016-12-01 Amkar Perm W 3-163.9 1743 1799 38.23% 28.68% 33.09%+0.09 +13.1 20
2016-12-01 @ Anzhi Makhachkala L 1-363.9 1799 1743 33.09% 28.68% 38.23%-0.09 -13.1 24
2016-12-01 Krasnodar W 2-170.6 1833 1955 29.15% 28.41% 42.44%-0.29 +9.1 28
2016-12-01 @ Terek Grozny L 1-270.6 1955 1833 42.44% 28.41% 29.15%+0.29 -9.1 27
2016-12-01 Lokomotiv Moscow L 1-655.8 1679 1834 25.36% 27.87% 46.78%-0.48 -23.9 9
2016-12-01 @ Tom Tomsk W 6-155.8 1834 1679 46.78% 27.87% 25.36%+0.48 +23.8 20
2016-12-01 Spartak Moscow W 4-061.8 1733 1942 20.05% 26.42% 53.53%-0.80 +41.5 14
2016-12-01 @ Krylia Sovetov L 0-461.8 1942 1733 53.53% 26.42% 20.05%+0.80 -41.5 37
2016-12-03 Ural W 4-047.4 1933 1733 68.06% 20.68% 11.26%+1.58 +10.4 32
2016-12-03 @ CSKA Moscow L 0-447.4 1733 1933 11.26% 20.68% 68.06%-1.58 -10.4 14
2016-12-03 Zenit St. Petersburg D 0-067.9 1910 1982 35.88% 28.72% 35.40%+0.00 -0.0 25
2016-12-03 @ Rostov D 0-067.9 1982 1910 35.40% 28.72% 35.88%+0.00 +0.0 35
2016-12-04 Terek Grozny W 2-055.5 1858 1842 47.86% 27.69% 24.45%+0.51 +12.0 23
2016-12-04 @ Lokomotiv Moscow L 0-255.5 1842 1858 24.45% 27.69% 47.86%-0.51 -12.0 28
2016-12-05 Anzhi Makhachkala W 1-061.2 1700 1756 38.14% 28.68% 33.18%+0.09 +8.0 12
2016-12-05 @ Arsenal Tula L 0-161.2 1756 1700 33.18% 28.68% 38.14%-0.09 -8.0 20
2016-12-05 Krylia Sovetov D 1-175.3 1946 1774 65.33% 22.01% 12.66%+1.41 -2.7 28
2016-12-05 @ Krasnodar D 1-175.3 1774 1946 12.66% 22.01% 65.33%-1.41 +2.7 15
2016-12-05 Orenburg W 3-053.4 1786 1768 48.12% 27.64% 24.24%+0.52 +17.2 27
2016-12-05 @ Amkar Perm L 0-353.4 1768 1786 24.24% 27.64% 48.12%-0.52 -17.2 12
2016-12-05 Rubin Kazan W 2-162.3 1901 1811 56.75% 25.45% 17.81%+0.94 +4.5 40
2016-12-05 @ Spartak Moscow L 1-262.3 1811 1901 17.81% 25.45% 56.75%-0.94 -4.5 23
2016-12-05 Tom Tomsk W 1-054.7 1766 1655 59.13% 24.62% 16.26%+1.06 +4.3 25
2016-12-05 @ Ufa L 0-154.7 1655 1766 16.26% 24.62% 59.13%-1.06 -4.3 9
2017-03-03 Rostov L 0-650.9 1651 1910 16.20% 24.58% 59.22%-1.09 -22.7 9
2017-03-03 @ Tom Tomsk W 6-050.9 1910 1651 59.22% 24.58% 16.20%+1.09 +22.7 28
2017-03-04 Arsenal Tula W 3-052.2 1751 1708 51.27% 26.99% 21.74%+0.66 +15.7 15
2017-03-04 @ Orenburg L 0-352.2 1708 1751 21.74% 26.99% 51.27%-0.66 -15.7 12
2017-03-04 Zenit St. Petersburg D 0-068.0 1944 1982 40.58% 28.56% 30.86%+0.19 -0.5 33
2017-03-04 @ CSKA Moscow D 0-068.0 1982 1944 30.86% 28.56% 40.58%-0.19 +0.5 36
2017-03-05 Amkar Perm W 1-062.5 1723 1803 34.72% 28.72% 36.56%-0.05 +8.6 17
2017-03-05 @ Ural L 0-162.5 1803 1723 36.56% 28.72% 34.72%+0.05 -8.6 27
2017-03-05 Lokomotiv Moscow L 0-356.5 1777 1869 33.03% 28.68% 38.29%-0.12 -22.0 15
2017-03-05 @ Krylia Sovetov W 3-056.5 1869 1777 38.29% 28.68% 33.03%+0.12 +22.0 26
2017-03-05 Spartak Moscow D 2-279.6 1943 1905 50.70% 27.12% 22.18%+0.64 -1.0 29
2017-03-05 @ Krasnodar D 2-279.6 1905 1943 22.18% 27.12% 50.70%-0.64 +1.0 41
2017-03-05 Ufa L 0-167.0 1830 1771 53.26% 26.49% 20.25%+0.76 -11.6 28
2017-03-05 @ Terek Grozny W 1-067.0 1771 1830 20.25% 26.49% 53.26%-0.76 +11.6 28
2017-03-06 Rubin Kazan L 0-162.9 1748 1806 37.86% 28.69% 33.45%+0.08 -8.8 20
2017-03-06 @ Anzhi Makhachkala W 1-062.9 1806 1748 33.45% 28.69% 37.86%-0.08 +8.8 26
2017-03-10 Ural W 2-057.0 1692 1731 40.57% 28.56% 30.87%+0.19 +14.4 15
2017-03-10 @ Arsenal Tula L 0-257.0 1731 1692 30.87% 28.56% 40.57%-0.19 -14.4 17
2017-03-11 Krylia Sovetov W 1-058.1 1782 1755 49.31% 27.41% 23.27%+0.57 +6.1 31
2017-03-11 @ Ufa L 0-158.1 1755 1782 23.27% 27.41% 49.31%-0.57 -6.1 15
2017-03-11 Orenburg D 0-068.3 1815 1767 51.99% 26.81% 21.19%+0.70 -1.7 27
2017-03-11 @ Rubin Kazan D 0-068.3 1767 1815 21.19% 26.81% 51.99%-0.70 +1.7 16
2017-03-11 Tom Tomsk W 4-044.3 1943 1628 77.73% 15.29% 6.98%+2.24 +5.8 36
2017-03-11 @ CSKA Moscow L 0-444.3 1628 1943 6.98% 15.29% 77.73%-2.24 -5.8 9
2017-03-12 Terek Grozny D 0-069.2 1933 1818 59.50% 24.48% 16.02%+1.08 -2.4 29
2017-03-12 @ Rostov D 0-069.2 1818 1933 16.02% 24.48% 59.50%-1.08 +2.4 29
2017-03-12 Anzhi Makhachkala W 1-053.7 1906 1739 64.86% 22.23% 12.92%+1.38 +3.4 44
2017-03-12 @ Spartak Moscow L 0-153.7 1739 1906 12.92% 22.23% 64.86%-1.38 -3.4 20
2017-03-12 Zenit St. Petersburg W 1-066.6 1794 1983 21.90% 27.04% 51.06%-0.68 +11.2 30
2017-03-12 @ Amkar Perm L 0-166.6 1983 1794 51.06% 27.04% 21.90%+0.68 -11.2 36
2017-03-13 Krasnodar L 1-269.6 1891 1942 38.91% 28.65% 32.43%+0.12 -8.5 26
2017-03-13 @ Lokomotiv Moscow W 2-169.6 1942 1891 32.43% 28.65% 38.91%-0.12 +8.5 32
2017-03-17 Orenburg W 1-060.4 1736 1768 41.50% 28.49% 30.00%+0.23 +7.5 23
2017-03-17 @ Anzhi Makhachkala L 0-160.4 1768 1736 30.00% 28.49% 41.50%-0.23 -7.5 16
2017-03-18 Amkar Perm W 1-065.8 1622 1805 22.42% 27.19% 50.39%-0.64 +11.0 12
2017-03-18 @ Tom Tomsk L 0-165.8 1805 1622 50.39% 27.19% 22.42%+0.64 -11.0 30
2017-03-18 Rubin Kazan W 1-063.2 1717 1814 32.44% 28.65% 38.91%-0.14 +9.0 20
2017-03-18 @ Ural L 0-163.2 1814 1717 38.91% 28.65% 32.44%+0.14 -9.0 27
2017-03-18 Spartak Moscow D 1-173.5 1883 1909 42.28% 28.43% 29.29%+0.26 -0.6 27
2017-03-18 @ Lokomotiv Moscow D 1-173.5 1909 1883 29.29% 28.43% 42.28%-0.26 +0.6 45
2017-03-19 Arsenal Tula W 2-047.7 1972 1707 73.79% 17.60% 8.61%+1.95 +4.0 39
2017-03-19 @ Zenit St. Petersburg L 0-247.7 1707 1972 8.61% 17.60% 73.79%-1.95 -4.0 15
2017-03-19 CSKA Moscow L 0-160.2 1821 1949 28.42% 28.33% 43.25%-0.33 -7.2 29
2017-03-19 @ Terek Grozny W 1-060.2 1949 1821 43.25% 28.33% 28.42%+0.33 +7.1 39
2017-03-19 Rostov D 0-068.3 1749 1931 22.59% 27.23% 50.18%-0.63 +1.5 16
2017-03-19 @ Krylia Sovetov D 0-068.3 1931 1749 50.18% 27.23% 22.59%+0.63 -1.5 30
2017-03-19 Ufa D 0-069.8 1951 1788 64.44% 22.42% 13.14%+1.36 -2.9 33
2017-03-19 @ Krasnodar D 0-069.8 1788 1951 13.14% 22.42% 64.44%-1.36 +2.9 32
2017-03-31 Ural L 2-376.1 1743 1726 48.11% 27.64% 24.25%+0.52 -9.5 23
2017-03-31 @ Anzhi Makhachkala W 3-276.1 1726 1743 24.25% 27.64% 48.11%-0.52 +9.5 23
2017-04-01 Lokomotiv Moscow L 0-161.7 1791 1882 33.20% 28.68% 38.12%-0.11 -8.0 32
2017-04-01 @ Ufa W 1-061.7 1882 1791 38.12% 28.68% 33.20%+0.11 +8.0 30
2017-04-01 Tom Tomsk W 3-050.4 1703 1633 54.45% 26.16% 19.40%+0.82 +14.1 18
2017-04-01 @ Arsenal Tula L 0-350.4 1633 1703 19.40% 26.16% 54.45%-0.82 -14.1 12
2017-04-02 Terek Grozny D 1-173.3 1794 1814 43.27% 28.33% 28.40%+0.31 -0.7 31
2017-04-02 @ Amkar Perm D 1-173.3 1814 1794 28.40% 28.33% 43.27%-0.31 +0.7 30
2017-04-02 Krylia Sovetov W 2-158.7 1956 1751 68.57% 20.42% 11.01%+1.61 +2.7 42
2017-04-02 @ CSKA Moscow L 1-258.7 1751 1956 11.01% 20.42% 68.57%-1.61 -2.7 16
2017-04-02 Zenit St. Petersburg L 0-255.3 1805 1976 23.62% 27.50% 48.88%-0.57 -11.6 27
2017-04-02 @ Rubin Kazan W 2-055.3 1976 1805 48.88% 27.50% 23.62%+0.57 +11.6 42
2017-04-03 Krasnodar D 0-068.0 1929 1948 43.35% 28.32% 28.33%+0.31 -0.8 31
2017-04-03 @ Rostov D 0-068.0 1948 1929 28.33% 28.32% 43.35%-0.31 +0.8 34
2017-04-03 Orenburg W 3-264.9 1910 1761 63.12% 23.01% 13.87%+1.28 +3.3 48
2017-04-03 @ Spartak Moscow L 2-364.9 1761 1910 13.87% 23.01% 63.12%-1.28 -3.3 16
2017-04-08 Amkar Perm D 2-278.9 1748 1794 39.61% 28.62% 31.77%+0.15 -0.3 17
2017-04-08 @ Krylia Sovetov D 2-278.9 1794 1748 31.77% 28.62% 39.61%-0.15 +0.3 32
2017-04-08 Anzhi Makhachkala D 1-176.5 1987 1734 72.81% 18.15% 9.04%+1.89 -3.2 43
2017-04-08 @ Zenit St. Petersburg D 1-176.5 1734 1987 9.04% 18.15% 72.81%-1.89 +3.2 24
2017-04-08 Arsenal Tula W 3-158.1 1814 1717 57.63% 25.15% 17.22%+0.98 +7.5 33
2017-04-08 @ Terek Grozny L 1-358.1 1717 1814 17.22% 25.15% 57.63%-0.98 -7.5 18
2017-04-09 CSKA Moscow D 1-173.6 1949 1959 44.50% 28.19% 27.31%+0.36 -0.8 35
2017-04-09 @ Krasnodar D 1-173.6 1959 1949 27.31% 28.19% 44.50%-0.36 +0.8 43
2017-04-09 Rostov D 0-068.0 1890 1928 40.70% 28.55% 30.74%+0.20 -0.5 31
2017-04-09 @ Lokomotiv Moscow D 0-068.0 1928 1890 30.74% 28.55% 40.70%-0.20 +0.5 32
2017-04-09 Spartak Moscow L 1-362.6 1783 1913 28.17% 28.30% 43.53%-0.34 -11.6 32
2017-04-09 @ Ufa W 3-162.6 1913 1783 43.53% 28.30% 28.17%+0.34 +11.6 51
2017-04-10 Orenburg W 2-056.6 1735 1757 42.90% 28.37% 28.73%+0.29 +13.6 26
2017-04-10 @ Ural L 0-256.6 1757 1735 28.73% 28.37% 42.90%-0.29 -13.6 16
2017-04-10 Rubin Kazan D 2-278.7 1619 1793 23.34% 27.43% 49.23%-0.59 +0.9 13
2017-04-10 @ Tom Tomsk D 2-278.7 1793 1619 49.23% 27.43% 23.34%+0.59 -0.9 28
2017-04-15 Krasnodar L 0-159.1 1792 1948 25.25% 27.85% 46.90%-0.49 -6.5 28
2017-04-15 @ Rubin Kazan W 1-059.1 1948 1792 46.90% 27.85% 25.25%+0.49 +6.5 38
2017-04-15 Krylia Sovetov L 1-367.0 1737 1748 44.46% 28.20% 27.35%+0.36 -16.3 24
2017-04-15 @ Anzhi Makhachkala W 3-167.0 1748 1737 27.35% 28.20% 44.46%-0.36 +16.3 20
2017-04-15 Rostov D 0-068.3 1960 1929 49.77% 27.32% 22.91%+0.59 -1.4 44
2017-04-15 @ CSKA Moscow D 0-068.3 1929 1960 22.91% 27.32% 49.77%-0.59 +1.4 33
2017-04-15 Ufa D 1-173.5 1794 1772 48.74% 27.52% 23.73%+0.55 -1.2 33
2017-04-15 @ Amkar Perm D 1-173.5 1772 1794 23.73% 27.52% 48.74%-0.55 +1.2 33
2017-04-16 Terek Grozny W 2-168.6 1744 1822 35.03% 28.72% 36.25%-0.04 +8.1 19
2017-04-16 @ Orenburg L 1-268.6 1822 1744 36.25% 28.72% 35.03%+0.04 -8.1 33
2017-04-16 Lokomotiv Moscow L 0-352.9 1709 1890 22.69% 27.26% 50.05%-0.63 -16.3 18
2017-04-16 @ Arsenal Tula W 3-052.9 1890 1709 50.05% 27.26% 22.69%+0.63 +16.3 34
2017-04-16 Tom Tomsk W 1-053.8 1749 1620 61.03% 23.88% 15.09%+1.16 +4.0 29
2017-04-16 @ Ural L 0-153.8 1620 1749 15.09% 23.88% 61.03%-1.16 -4.0 13
2017-04-16 Zenit St. Petersburg W 2-168.1 1925 1984 37.72% 28.69% 33.59%+0.07 +7.6 54
2017-04-16 @ Spartak Moscow L 1-268.1 1984 1925 33.59% 28.69% 37.72%-0.07 -7.7 43
2017-04-21 CSKA Moscow L 0-254.7 1773 1958 22.21% 27.13% 50.66%-0.66 -11.0 33
2017-04-21 @ Ufa W 2-054.7 1958 1773 50.66% 27.13% 22.21%+0.66 +11.0 47
2017-04-22 Amkar Perm D 3-383.4 1906 1793 59.36% 24.53% 16.11%+1.07 -1.3 35
2017-04-22 @ Lokomotiv Moscow D 3-383.4 1793 1906 16.11% 24.53% 59.36%-1.07 +1.3 34
2017-04-22 Anzhi Makhachkala L 0-167.6 1814 1721 57.12% 25.32% 17.55%+0.96 -12.2 33
2017-04-22 @ Terek Grozny W 1-067.6 1721 1814 17.55% 25.32% 57.12%-0.96 +12.2 27
2017-04-22 Spartak Moscow W 3-054.5 1930 1933 45.54% 28.05% 26.41%+0.40 +18.5 36
2017-04-22 @ Rostov L 0-354.5 1933 1930 26.41% 28.05% 45.54%-0.40 -18.5 54
2017-04-22 Ural W 2-048.8 1976 1753 70.19% 19.57% 10.23%+1.71 +4.9 46
2017-04-22 @ Zenit St. Petersburg L 0-248.8 1753 1976 10.23% 19.57% 70.19%-1.71 -4.9 29
2017-04-23 Arsenal Tula W 2-047.8 1954 1693 73.47% 17.78% 8.75%+1.93 +4.0 41
2017-04-23 @ Krasnodar L 0-247.8 1693 1954 8.75% 17.78% 73.47%-1.93 -4.1 18
2017-04-23 Orenburg L 1-264.9 1616 1752 27.49% 28.21% 44.30%-0.37 -6.6 13
2017-04-23 @ Tom Tomsk W 2-164.9 1752 1616 44.30% 28.21% 27.49%+0.37 +6.6 22
2017-04-23 Rubin Kazan D 0-067.7 1764 1786 42.94% 28.36% 28.69%+0.29 -0.7 21
2017-04-23 @ Krylia Sovetov D 0-067.7 1786 1764 28.69% 28.36% 42.94%-0.29 +0.7 29
2017-04-25 Ufa W 1-053.1 1949 1762 66.84% 21.29% 11.88%+1.50 +3.1 39
2017-04-25 @ Rostov L 0-153.1 1762 1949 11.88% 21.29% 66.84%-1.50 -3.1 33
2017-04-25 Ural W 1-053.7 1914 1748 64.78% 22.26% 12.96%+1.38 +3.4 57
2017-04-25 @ Spartak Moscow L 0-153.7 1748 1914 12.96% 22.26% 64.78%-1.38 -3.4 29
2017-04-26 Terek Grozny L 0-164.7 1786 1802 43.82% 28.27% 27.91%+0.33 -9.9 29
2017-04-26 @ Rubin Kazan W 1-064.7 1802 1786 27.91% 28.27% 43.82%-0.33 +9.9 36
2017-04-26 Krylia Sovetov W 2-058.7 1689 1763 35.58% 28.72% 35.70%-0.01 +16.0 21
2017-04-26 @ Arsenal Tula L 0-258.7 1763 1689 35.70% 28.72% 35.58%+0.01 -16.0 21
2017-04-26 Lokomotiv Moscow W 4-051.7 1969 1905 53.84% 26.33% 19.83%+0.79 +18.9 50
2017-04-26 @ CSKA Moscow L 0-451.7 1905 1969 19.83% 26.33% 53.84%-0.79 -18.9 35
2017-04-26 Zenit St. Petersburg L 0-156.7 1759 1981 18.92% 25.96% 55.12%-0.87 -5.0 22
2017-04-26 @ Orenburg W 1-056.7 1981 1759 55.12% 25.96% 18.92%+0.87 +5.0 49
2017-04-27 Krasnodar L 0-255.5 1794 1958 24.34% 27.66% 48.00%-0.53 -11.9 34
2017-04-27 @ Amkar Perm W 2-055.5 1958 1794 48.00% 27.66% 24.34%+0.53 +11.9 44
2017-04-27 Tom Tomsk D 3-382.2 1733 1609 60.46% 24.11% 15.43%+1.13 -1.4 28
2017-04-27 @ Anzhi Makhachkala D 3-382.2 1609 1733 15.43% 24.11% 60.46%-1.13 +1.4 14
2017-04-29 Rubin Kazan L 0-168.2 1886 1776 58.94% 24.68% 16.37%+1.05 -12.6 35
2017-04-29 @ Lokomotiv Moscow W 1-068.2 1776 1886 16.37% 24.68% 58.94%-1.05 +12.6 32
2017-04-29 Ural W 5-258.1 1811 1745 54.11% 26.25% 19.63%+0.80 +10.4 39
2017-04-29 @ Terek Grozny L 2-558.1 1745 1811 19.63% 26.25% 54.11%-0.80 -10.4 29
2017-04-30 Amkar Perm W 1-053.6 1952 1782 65.15% 22.09% 12.76%+1.40 +3.4 42
2017-04-30 @ Rostov L 0-153.6 1782 1952 12.76% 22.09% 65.15%-1.40 -3.3 34
2017-04-30 Arsenal Tula W 1-056.9 1759 1705 52.57% 26.67% 20.76%+0.73 +5.5 36
2017-04-30 @ Ufa L 0-156.9 1705 1759 20.76% 26.67% 52.57%-0.73 -5.5 21
2017-04-30 Spartak Moscow L 1-273.6 1988 1917 54.56% 26.12% 19.31%+0.83 -11.1 50
2017-04-30 @ CSKA Moscow W 2-173.6 1917 1988 19.31% 26.12% 54.56%-0.83 +11.1 60
2017-05-01 Anzhi Makhachkala D 0-070.8 1970 1732 71.53% 18.85% 9.61%+1.80 -3.5 45
2017-05-01 @ Krasnodar D 0-070.8 1732 1970 9.61% 18.85% 71.53%-1.80 +3.5 29
2017-05-01 Orenburg D 1-173.1 1747 1753 45.02% 28.12% 26.86%+0.38 -0.8 22
2017-05-01 @ Krylia Sovetov D 1-173.1 1753 1747 26.86% 28.12% 45.02%-0.38 +0.8 23
2017-05-01 Zenit St. Petersburg L 0-248.6 1611 1986 10.04% 19.35% 70.60%-1.76 -4.8 14
2017-05-01 @ Tom Tomsk W 2-048.6 1986 1611 70.60% 19.35% 10.04%+1.76 +4.8 52
2017-05-06 CSKA Moscow L 0-254.3 1779 1977 21.04% 26.77% 52.19%-0.73 -10.5 34
2017-05-06 @ Amkar Perm W 2-054.3 1977 1779 52.19% 26.77% 21.04%+0.73 +10.5 53
2017-05-06 Rostov W 1-068.2 1700 1955 16.47% 24.74% 58.80%-1.06 +12.5 24
2017-05-06 @ Arsenal Tula L 0-168.2 1955 1700 58.80% 24.74% 16.47%+1.06 -12.5 42
2017-05-06 Tom Tomsk W 1-049.4 1929 1606 78.29% 14.96% 6.75%+2.29 +1.6 63
2017-05-06 @ Spartak Moscow L 0-149.4 1606 1929 6.75% 14.96% 78.29%-2.29 -1.6 14
2017-05-07 Terek Grozny L 0-169.4 1991 1822 65.12% 22.11% 12.77%+1.40 -13.6 52
2017-05-07 @ Zenit St. Petersburg W 1-069.4 1822 1991 12.77% 22.11% 65.12%-1.40 +13.6 42
2017-05-07 Krasnodar W 1-067.2 1754 1967 19.78% 26.31% 53.91%-0.81 +11.7 26
2017-05-07 @ Orenburg L 0-167.2 1967 1754 53.91% 26.31% 19.78%+0.81 -11.7 45
2017-05-07 Ufa W 2-164.4 1789 1764 49.05% 27.46% 23.48%+0.56 +5.8 35
2017-05-07 @ Rubin Kazan L 1-264.4 1764 1789 23.48% 27.46% 49.05%-0.56 -5.8 36
2017-05-08 Krylia Sovetov L 1-366.9 1734 1746 44.25% 28.22% 27.53%+0.35 -16.3 29
2017-05-08 @ Ural W 3-166.9 1746 1734 27.53% 28.22% 44.25%-0.35 +16.3 25
2017-05-08 Lokomotiv Moscow D 0-067.9 1735 1873 27.22% 28.18% 44.60%-0.38 +0.9 30
2017-05-08 @ Anzhi Makhachkala D 0-067.9 1873 1735 44.60% 28.18% 27.22%+0.38 -0.9 36
2017-05-12 Arsenal Tula W 3-045.7 1987 1712 74.63% 17.12% 8.25%+2.01 +5.5 56
2017-05-12 @ CSKA Moscow L 0-345.7 1712 1987 8.25% 17.12% 74.63%-2.01 -5.5 24
2017-05-13 Krasnodar D 1-174.3 1718 1955 17.82% 25.45% 56.73%-0.96 +1.9 30
2017-05-13 @ Ural D 1-174.3 1955 1718 56.73% 25.45% 17.82%+0.96 -1.9 46
2017-05-13 Orenburg W 4-050.2 1872 1766 58.62% 24.80% 16.58%+1.03 +15.9 39
2017-05-13 @ Lokomotiv Moscow L 0-450.2 1766 1872 16.58% 24.80% 58.62%-1.03 -15.8 26
2017-05-13 Spartak Moscow L 0-158.9 1768 1930 24.59% 27.72% 47.69%-0.52 -6.4 34
2017-05-13 @ Amkar Perm W 1-058.9 1930 1768 47.69% 27.72% 24.59%+0.52 +6.4 66
2017-05-13 Zenit St. Petersburg L 1-359.4 1763 1978 19.56% 26.23% 54.21%-0.83 -8.5 25
2017-05-13 @ Krylia Sovetov W 3-159.4 1978 1763 54.21% 26.23% 19.56%+0.83 +8.5 55
2017-05-14 Terek Grozny L 1-261.9 1605 1835 18.28% 25.67% 56.05%-0.92 -4.6 14
2017-05-14 @ Tom Tomsk W 2-161.9 1835 1605 56.05% 25.67% 18.28%+0.92 +4.6 45
2017-05-14 Anzhi Makhachkala W 2-164.3 1758 1736 48.71% 27.53% 23.76%+0.55 +5.8 39
2017-05-14 @ Ufa L 1-264.3 1736 1758 23.76% 27.53% 48.71%-0.55 -5.8 30
2017-05-14 Rubin Kazan W 4-259.9 1943 1795 62.98% 23.07% 13.95%+1.27 +5.4 45
2017-05-14 @ Rostov L 2-459.9 1795 1943 13.95% 23.07% 62.98%-1.27 -5.4 35
2017-05-17 Terek Grozny W 3-050.9 1937 1840 57.52% 25.19% 17.29%+0.98 +12.7 69
2017-05-17 @ Spartak Moscow L 0-350.9 1840 1937 17.29% 25.19% 57.52%-0.98 -12.7 45
2017-05-17 Amkar Perm D 0-067.4 1707 1762 38.26% 28.68% 33.07%+0.10 -0.3 25
2017-05-17 @ Arsenal Tula D 0-067.4 1762 1707 33.07% 28.68% 38.26%-0.10 +0.3 35
2017-05-17 CSKA Moscow L 0-254.1 1789 1993 20.56% 26.60% 52.84%-0.76 -10.3 35
2017-05-17 @ Rubin Kazan W 2-054.1 1993 1789 52.84% 26.60% 20.56%+0.76 +10.3 59
2017-05-17 Krasnodar W 1-058.2 1986 1953 50.05% 27.26% 22.69%+0.61 +5.9 58
2017-05-17 @ Zenit St. Petersburg L 0-158.2 1953 1986 22.69% 27.26% 50.05%-0.61 -6.0 46
2017-05-17 Krylia Sovetov L 0-254.7 1600 1754 25.41% 27.88% 46.71%-0.48 -12.3 14
2017-05-17 @ Tom Tomsk W 2-054.7 1754 1600 46.71% 27.88% 25.41%+0.48 +12.3 28
2017-05-17 Lokomotiv Moscow L 1-264.6 1720 1888 23.91% 27.57% 48.52%-0.56 -5.9 30
2017-05-17 @ Ural W 2-164.6 1888 1720 48.52% 27.57% 23.91%+0.56 +5.9 42
2017-05-17 Rostov L 1-262.9 1730 1948 19.33% 26.13% 54.54%-0.84 -4.8 30
2017-05-17 @ Anzhi Makhachkala W 2-162.9 1948 1730 54.54% 26.13% 19.33%+0.84 +4.9 48
2017-05-17 Ufa D 1-173.2 1750 1764 43.98% 28.25% 27.77%+0.34 -0.8 27
2017-05-17 @ Orenburg D 1-173.2 1764 1750 27.77% 28.25% 43.98%-0.34 +0.7 40
2017-05-21 Terek Grozny L 1-365.4 1766 1827 37.48% 28.70% 33.82%+0.06 -14.3 28
2017-05-21 @ Krylia Sovetov W 3-165.4 1827 1766 33.82% 28.70% 37.48%-0.06 +14.3 48
2017-05-21 Anzhi Makhachkala W 4-045.4 2003 1725 74.82% 17.01% 8.17%+2.03 +7.1 62
2017-05-21 @ CSKA Moscow L 0-445.4 1725 2003 8.17% 17.01% 74.82%-2.03 -7.1 30
2017-05-21 Krasnodar L 1-549.9 1588 1947 10.72% 20.11% 69.17%-1.67 -8.2 14
2017-05-21 @ Tom Tomsk W 5-149.9 1947 1588 69.17% 20.11% 10.72%+1.67 +8.2 49
2017-05-21 Rostov W 2-063.7 1749 1953 20.55% 26.60% 52.86%-0.76 +21.7 30
2017-05-21 @ Orenburg L 0-263.7 1953 1749 52.86% 26.60% 20.55%+0.76 -21.7 48
2017-05-21 Rubin Kazan L 1-270.6 1762 1779 43.60% 28.30% 28.11%+0.32 -9.3 35
2017-05-21 @ Amkar Perm W 2-170.6 1779 1762 28.11% 28.30% 43.60%-0.32 +9.3 38
2017-05-21 Spartak Moscow W 3-062.8 1706 1949 17.38% 25.23% 57.39%-0.99 +33.7 28
2017-05-21 @ Arsenal Tula L 0-362.8 1949 1706 57.39% 25.23% 17.38%+0.99 -33.7 69
2017-05-21 Ural W 1-057.1 1765 1714 52.23% 26.76% 21.02%+0.71 +5.6 43
2017-05-21 @ Ufa L 0-157.1 1714 1765 21.02% 26.76% 52.23%-0.71 -5.6 30
2017-05-21 Zenit St. Petersburg L 0-258.2 1894 1992 32.28% 28.64% 39.07%-0.15 -14.9 42
2017-05-21 @ Lokomotiv Moscow W 2-058.2 1992 1894 39.07% 28.64% 32.28%+0.15 +14.9 61

Playoff Game Log

Every playoff game for the team selected at the top of the tab (empty if they didn't reach the postseason). Sort any column by clicking its header. @ before an opponent name indicates an away game; the record column shows the team's running playoff record.

Date Opponent ScoreExcitement Pre Elo Opp Elo Win % Tie % Loss %Proj. Margin Elo Δ Record
2017-05-25 Arsenal Tula W 2-167.5 1676 1740 36.99% 28.71% 34.30%+0.04 +7.8 1-0
2017-05-25 @ Yenisey Krasnoyarsk L 1-267.5 1740 1676 34.30% 28.71% 36.99%-0.04 -7.8 0-1
2017-05-25 Orenburg D 0-067.4 1699 1771 35.86% 28.72% 35.42%+0.00 -0.0 0-0-1
2017-05-25 @ SKA-Khabarovsk D 0-067.4 1771 1699 35.42% 28.72% 35.86%+0.00 +0.0 0-0-1
2017-05-28 SKA-Khabarovsk L 3-573.6 1771 1699 54.78% 26.06% 19.16%+0.84 -16.3 0-1-1
2017-05-28 @ Orenburg W 5-373.6 1699 1771 19.16% 26.06% 54.78%-0.84 +16.3 1-0-1
2017-05-28 Yenisey Krasnoyarsk W 1-056.8 1732 1683 52.00% 26.81% 21.19%+0.70 +5.6 1-1
2017-05-28 @ Arsenal Tula L 0-156.8 1683 1732 21.19% 26.81% 52.00%-0.70 -5.6 1-1

Biggest Upsets

The 25 games where the underdog won despite the lowest pregame win probability. Underdog Win % is the winner's pregame chance of winning the game (lower = bigger upset). @ before a team name indicates the away side. An asterisk (*) after the date marks a playoff game.

# Date Underdog Win % Winning Team Losing Team
Team Elo Score Team Elo Score
1 2016-09-25 11.75% Ufa 1731 1 @ Spartak Moscow 1921 0
2 2017-05-07 12.77% Terek Grozny 1822 1 @ Zenit St. Petersburg 1991 0
3 2016-09-17 15.69% Ufa 1719 1 @ Lokomotiv Moscow 1838 0
4 2016-08-28 16.15% Lokomotiv Moscow 1832 2 @ Krasnodar 1944 1
5 2017-04-29 16.37% Rubin Kazan 1776 1 @ Lokomotiv Moscow 1886 0
6 2017-05-06 16.47% @ Arsenal Tula 1700 1 Rostov 1955 0
7 2017-05-21 17.38% @ Arsenal Tula 1706 3 Spartak Moscow 1949 0
8 2017-04-22 17.55% Anzhi Makhachkala 1721 1 @ Terek Grozny 1814 0
9 2017-05-28 * 19.16% SKA-Khabarovsk 1699 5 @ Orenburg 1771 3
10 2017-04-30 19.31% Spartak Moscow 1917 2 @ CSKA Moscow 1988 1
11 2017-05-07 19.78% @ Orenburg 1754 1 Krasnodar 1967 0
12 2016-12-01 20.05% @ Krylia Sovetov 1733 4 Spartak Moscow 1942 0
13 2017-03-05 20.25% Ufa 1771 1 @ Terek Grozny 1830 0
14 2017-05-21 20.55% @ Orenburg 1749 2 Rostov 1953 0
15 2016-11-30 20.85% @ Ural 1722 1 Rostov 1922 0
16 2016-08-26 21.26% Ufa 1705 1 @ Krylia Sovetov 1753 0
17 2016-09-17 21.86% Amkar Perm 1774 3 @ Terek Grozny 1815 1
18 2017-03-12 21.90% @ Amkar Perm 1794 1 Zenit St. Petersburg 1983 0
19 2017-03-18 22.42% @ Tom Tomsk 1622 1 Amkar Perm 1805 0
20 2016-09-25 22.58% Ural 1751 1 @ Orenburg 1785 0
21 2016-08-19 23.35% Anzhi Makhachkala 1751 2 @ Rubin Kazan 1777 1
22 2017-03-31 24.25% Ural 1726 3 @ Anzhi Makhachkala 1743 2
23 2016-09-17 24.80% Anzhi Makhachkala 1749 1 @ Ural 1762 0
24 2016-11-06 25.12% @ Terek Grozny 1834 2 Zenit St. Petersburg 1991 1
25 2016-11-19 25.50% Ufa 1754 1 @ Anzhi Makhachkala 1760 0

Biggest Elo Changes

The 25 games that resulted in the largest shift in Elo rating.

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2016-12-01 41.55 @ Krylia Sovetov 4 1733 20.05% Spartak Moscow 0 1942 53.53% 26.42%
2 2017-05-21 33.67 @ Arsenal Tula 3 1706 17.38% Spartak Moscow 0 1949 57.39% 25.23%
3 2016-09-11 28.03 Zenit St. Petersburg 5 1934 47.76% @ Arsenal Tula 0 1772 24.53% 27.70%
4 2016-10-22 26.27 Anzhi Makhachkala 3 1754 29.39% @ Tom Tomsk 0 1726 42.17% 28.44%
5 2016-12-01 23.85 Lokomotiv Moscow 6 1834 46.78% @ Tom Tomsk 1 1679 25.36% 27.87%
6 2017-03-03 22.67 Rostov 6 1910 59.22% @ Tom Tomsk 0 1651 16.20% 24.58%
7 2017-03-05 21.96 Lokomotiv Moscow 3 1869 38.29% @ Krylia Sovetov 0 1777 33.03% 28.68%
8 2017-05-21 21.67 @ Orenburg 2 1749 20.55% Rostov 0 1953 52.86% 26.60%
9 2016-11-05 21.27 @ Lokomotiv Moscow 4 1814 50.07% Anzhi Makhachkala 0 1781 22.68% 27.26%
10 2016-10-30 19.90 Terek Grozny 4 1814 34.76% @ Ural 1 1746 36.52% 28.72%
11 2016-07-31 19.28 @ Spartak Moscow 4 1850 53.18% Arsenal Tula 0 1791 20.31% 26.51%
12 2016-10-30 19.20 Ufa 2 1743 26.41% @ Arsenal Tula 0 1741 45.54% 28.05%
13 2017-04-26 18.86 @ CSKA Moscow 4 1969 53.84% Lokomotiv Moscow 0 1905 19.83% 26.33%
14 2017-04-22 18.49 @ Rostov 3 1930 45.54% Spartak Moscow 0 1933 26.41% 28.05%
15 2016-09-17 18.26 Amkar Perm 3 1774 21.86% @ Terek Grozny 1 1815 51.11% 27.02%
16 2016-12-05 17.24 @ Amkar Perm 3 1786 48.12% Orenburg 0 1768 24.24% 27.64%
17 2016-11-27 17.09 @ Krylia Sovetov 3 1716 48.39% Tom Tomsk 0 1696 24.02% 27.59%
18 2016-08-21 16.61 @ Spartak Moscow 2 1873 33.67% Krasnodar 0 1961 37.64% 28.70%
19 2016-10-15 16.38 @ Rubin Kazan 3 1774 49.88% Krylia Sovetov 0 1743 22.83% 27.30%
20 2017-04-15 16.33 Krylia Sovetov 3 1748 27.35% @ Anzhi Makhachkala 1 1737 44.46% 28.20%
21 2017-05-28 * 16.33 SKA-Khabarovsk 5 1699 19.16% @ Orenburg 3 1771 54.78% 26.06%
22 2017-04-16 16.29 Lokomotiv Moscow 3 1890 50.05% @ Arsenal Tula 0 1709 22.69% 27.26%
23 2017-05-08 16.27 Krylia Sovetov 3 1746 27.53% @ Ural 1 1734 44.25% 28.22%
24 2017-04-26 15.99 @ Arsenal Tula 2 1689 35.58% Krylia Sovetov 0 1763 35.70% 28.72%
25 2017-05-13 15.86 @ Lokomotiv Moscow 4 1872 58.62% Orenburg 0 1766 16.58% 24.80%

Most & Least Exciting Games

The season’s games ranked by excitement rating (0–100) — a blend of closeness, upset, team quality, and scoring. An asterisk (*) after the date indicates a playoff game.

# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2016-11-06 84.1 @ Krasnodar 3 1942 64.32% Orenburg 3 1781 13.21% 22.47%
2 2017-04-22 83.4 @ Lokomotiv Moscow 3 1906 59.36% Amkar Perm 3 1793 16.11% 24.53%
3 2017-04-27 82.2 @ Anzhi Makhachkala 3 1733 60.46% Tom Tomsk 3 1609 15.43% 24.11%
4 2016-11-06 80.5 @ CSKA Moscow 2 1925 61.03% Amkar Perm 2 1796 15.09% 23.88%
5 2016-08-07 79.8 @ Lokomotiv Moscow 2 1835 56.21% Tom Tomsk 2 1750 18.17% 25.62%
6 2016-09-25 79.8 @ Anzhi Makhachkala 2 1760 20.01% Zenit St. Petersburg 2 1969 53.59% 26.40%
7 2017-03-05 79.6 @ Krasnodar 2 1943 50.70% Spartak Moscow 2 1905 22.18% 27.12%
8 2017-04-08 78.9 @ Krylia Sovetov 2 1748 39.61% Amkar Perm 2 1794 31.77% 28.62%
9 2016-11-05 78.7 @ Krylia Sovetov 2 1720 45.00% Ural 2 1726 26.87% 28.13%
10 2017-04-10 78.7 @ Tom Tomsk 2 1619 23.34% Rubin Kazan 2 1793 49.23% 27.43%
11 2017-04-08 76.5 @ Zenit St. Petersburg 1 1987 72.81% Anzhi Makhachkala 1 1734 9.04% 18.15%
12 2017-03-31 76.1 Ural 3 1726 24.25% @ Anzhi Makhachkala 2 1743 48.11% 27.64%
13 2016-12-05 75.3 @ Krasnodar 1 1946 65.33% Krylia Sovetov 1 1774 12.66% 22.01%
14 2016-11-05 74.6 Rubin Kazan 3 1795 30.02% @ Ufa 2 1763 41.49% 28.49%
15 2016-08-28 74.5 Lokomotiv Moscow 2 1832 16.15% @ Krasnodar 1 1944 59.30% 24.55%
16 2016-11-26 74.4 @ Lokomotiv Moscow 1 1836 59.69% Ural 1 1719 15.91% 24.41%
17 2017-05-13 74.3 @ Ural 1 1718 17.82% Krasnodar 1 1955 56.73% 25.45%
18 2016-08-13 74.1 @ Krylia Sovetov 1 1750 19.72% Krasnodar 1 1963 53.99% 26.29%
19 2016-10-01 74.0 @ Lokomotiv Moscow 1 1821 56.10% Arsenal Tula 1 1737 18.24% 25.66%
20 2016-09-24 73.8 @ CSKA Moscow 1 1960 48.83% Krasnodar 1 1937 23.66% 27.51%
21 2016-08-27 73.6 @ Orenburg 1 1800 50.13% Rubin Kazan 1 1767 22.63% 27.24%
22 2017-04-09 73.6 @ Krasnodar 1 1949 44.50% CSKA Moscow 1 1959 27.31% 28.19%
23 2017-04-30 73.6 Spartak Moscow 2 1917 19.31% @ CSKA Moscow 1 1988 54.56% 26.12%
24 2017-05-28 * 73.6 SKA-Khabarovsk 5 1699 19.16% @ Orenburg 3 1771 54.78% 26.06%
25 2016-08-20 73.5 @ Zenit St. Petersburg 1 1925 44.24% CSKA Moscow 1 1937 27.54% 28.22%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2017-03-11 44.3 @ CSKA Moscow 4 1943 77.73% Tom Tomsk 0 1628 6.98% 15.29%
2 2017-05-21 45.4 @ CSKA Moscow 4 2003 74.82% Anzhi Makhachkala 0 1725 8.17% 17.01%
3 2017-05-12 45.7 @ CSKA Moscow 3 1987 74.63% Arsenal Tula 0 1712 8.25% 17.12%
4 2016-11-20 47.3 @ Krasnodar 3 1940 69.29% Ural 0 1727 10.66% 20.05%
5 2016-12-03 47.4 @ CSKA Moscow 4 1933 68.06% Ural 0 1733 11.26% 20.68%
6 2017-03-19 47.7 @ Zenit St. Petersburg 2 1972 73.79% Arsenal Tula 0 1707 8.61% 17.60%
7 2017-04-23 47.8 @ Krasnodar 2 1954 73.47% Arsenal Tula 0 1693 8.75% 17.78%
8 2016-08-01 48.2 @ Krasnodar 3 1940 66.26% Tom Tomsk 0 1758 12.17% 21.56%
9 2017-05-01 48.6 Zenit St. Petersburg 2 1986 70.60% @ Tom Tomsk 0 1611 10.04% 19.35%
10 2017-04-22 48.8 @ Zenit St. Petersburg 2 1976 70.19% Ural 0 1753 10.23% 19.57%
11 2016-08-20 49.0 @ Rostov 3 1909 63.40% Tom Tomsk 0 1757 13.72% 22.89%
12 2016-08-27 49.2 @ Zenit St. Petersburg 3 1924 62.80% Amkar Perm 0 1778 14.06% 23.15%
13 2016-11-30 49.3 @ Zenit St. Petersburg 2 1977 68.57% Ufa 0 1772 11.01% 20.42%
14 2017-05-06 49.4 @ Spartak Moscow 1 1929 78.29% Tom Tomsk 0 1606 6.75% 14.96%
15 2016-08-08 49.6 @ Krasnodar 4 1948 60.95% Terek Grozny 0 1820 15.13% 23.91%
16 2017-05-21 49.9 Krasnodar 5 1947 69.17% @ Tom Tomsk 1 1588 10.72% 20.11%
17 2016-09-10 50.2 @ CSKA Moscow 3 1943 59.69% Terek Grozny 0 1827 15.91% 24.41%
18 2017-05-13 50.2 @ Lokomotiv Moscow 4 1872 58.62% Orenburg 0 1766 16.58% 24.80%
19 2016-10-30 50.4 @ Zenit St. Petersburg 1 1989 75.70% Tom Tomsk 0 1700 7.80% 16.50%
20 2016-11-27 50.4 @ Rostov 2 1915 64.77% Anzhi Makhachkala 0 1750 12.96% 22.27%
21 2017-04-01 50.4 @ Arsenal Tula 3 1703 54.45% Tom Tomsk 0 1633 19.40% 26.16%
22 2016-11-30 50.9 @ CSKA Moscow 2 1926 63.33% Orenburg 0 1775 13.75% 22.92%
23 2017-03-03 50.9 Rostov 6 1910 59.22% @ Tom Tomsk 0 1651 16.20% 24.58%
24 2017-05-17 50.9 @ Spartak Moscow 3 1937 57.52% Terek Grozny 0 1840 17.29% 25.19%
25 2017-04-26 51.7 @ CSKA Moscow 4 1969 53.84% Lokomotiv Moscow 0 1905 19.83% 26.33%