Home / Leagues / Russia / Russian Premier League / 2017-18
‹ ›

2017-18 Russian Premier League Season

240 games · 4 promotion-playoff teams

Final

Champion

Lokomotiv Moscow

60 points

Relegated

No relegation

Biggest Overachiever

Lokomotiv Moscow

9.66 points above expected

60 points · 50.34 expected points

Biggest Disappointment

SKA-Khabarovsk

15.37 points below expected

13 points · 28.37 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 Lokomotiv Moscow 30 18 6 6 60 41 21 +20 50.34 +9.66
2 CSKA Moscow 30 17 7 6 58 49 23 +26 53.12 +4.88
3 Spartak Moscow 30 16 8 6 56 51 32 +19 50.77 +5.23
4 Krasnodar 30 16 6 8 54 46 30 +16 50.55 +3.45
5 Zenit St. Petersburg 30 14 11 5 53 46 21 +25 57.50 -4.50
6 Ufa 30 11 10 9 43 34 30 +4 36.87 +6.13
7 Arsenal Tula 30 12 6 12 42 35 41 -6 33.64 +8.36
8 Dynamo Moscow 30 10 10 10 40 29 30 -1 38.70 +1.30
9 Akhmat Grozny 30 10 9 11 39 30 34 -4 40.04 -1.04
10 Rubin Kazan 30 9 11 10 38 32 25 +7 37.74 +0.26
11 Rostov 30 9 10 11 37 27 28 -1 46.46 -9.46
12 Ural 30 8 13 9 37 31 32 -1 35.08 +1.92
13 Amkar Perm 30 9 8 13 35 20 30 -10 33.38 +1.62
14 Anzhi Makhachkala 30 6 6 18 24 31 55 -24 28.80 -4.80
15 Tosno 30 6 6 18 24 23 54 -31 32.54 -8.54
16 SKA-Khabarovsk 30 2 7 21 13 16 55 -39 28.37 -15.37

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 Lokomotiv Moscow 60 50.34 +9.66
2 Arsenal Tula 42 33.64 +8.36
3 Ufa 43 36.87 +6.13
4 Spartak Moscow 56 50.77 +5.23
5 CSKA Moscow 58 53.12 +4.88

Biggest Disappointments

# Team Actual Sim vsSim
1 SKA-Khabarovsk 13 28.37 -15.37
2 Rostov 37 46.46 -9.46
3 Tosno 24 32.54 -8.54
4 Anzhi Makhachkala 24 28.80 -4.80
5 Zenit St. Petersburg 53 57.50 -4.50

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 Spartak Moscow 5 Nov 5 – Dec 10 1 in 118
2 Amkar Perm 3 Sep 18 – Sep 30 1 in 55
3 Arsenal Tula 2 Sep 29 – Oct 15 1 in 47
4 Lokomotiv Moscow 4 Jul 18 – Aug 5 1 in 27
5 Rostov 4 Jul 30 – Aug 12 1 in 20

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 SKA-Khabarovsk 9 Oct 29 – Mar 17 1 in 393
2 Rostov 4 Sep 16 – Oct 15 1 in 203
3 Krasnodar 4 Sep 24 – Oct 23 1 in 106
4 Rubin Kazan 4 Sep 9 – Sep 30 1 in 99
5 Akhmat Grozny 4 Aug 5 – Aug 21 1 in 71

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Spartak Moscow 18 Aug 27 – Apr 8 1 in 240
2 Ural 7 Jul 15 – Aug 19 1 in 123
3 Amkar Perm 6 Sep 18 – Oct 29 1 in 27
4 SKA-Khabarovsk 6 Aug 8 – Sep 17 1 in 27
5 Akhmat Grozny 6 Apr 13 – May 13 1 in 25

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Rostov 11 Aug 20 – Nov 19 1 in 594
2 Zenit St. Petersburg 5 Oct 1 – Nov 5 1 in 73
3 SKA-Khabarovsk 18 Oct 14 – May 13 1 in 55
4 Tosno 9 Mar 10 – May 13 1 in 16
5 Ural 8 Oct 29 – Mar 12 1 in 13

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
Lokomotiv Moscow 1951 60 -34 5 8.9 -3.9
CSKA Moscow 2007 58 +35 13 9.6 +3.4
Spartak Moscow 1964 56 -24 6 9.8 -3.8
Krasnodar 1951 54 +23 10 8.4 +1.6
Zenit St. Petersburg 1979 53 +3 8 9.1 -1.1
Ufa 1848 43 +28 9 6.8 +2.2
Arsenal Tula 1806 42 -4 7 4.9 +2.1
Dynamo Moscow 1843 40 +18 10 6.5 +3.5
Akhmat Grozny 1837 39 +33 9 6.0 +3.0
Rubin Kazan 1851 38 +22 7 6.6 +0.4
Rostov 1862 37 +10 10 8.0 +2.0
Ural 1783 37 -6 7 6.1 +0.9
Amkar Perm 1776 35 +18 7 4.9 +2.1
Anzhi Makhachkala 1703 24 -29 0 4.2 -4.2
Tosno 1684 24 -55 0 5.0 -5.0
SKA-Khabarovsk 1619 13 -25 0 3.0 -3.0

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 AG AP AM AT CM DM KRA LM ROS RK SKA SM TOS UFA URA ZSP
Akhmat Grozny —
1-1-0
3.17
1-1-0
3.54
0-0-2
3.21
1-0-1
1.76
1-1-0
2.92
0-0-2
2.21
0-2-0
1.96
2-0-0
2.23
1-0-1
2.66
0-2-0
3.59
1-0-1
1.97
1-0-1
3.22
1-0-1
3.04
0-1-1
2.96
0-1-1
1.71
Amkar Perm
0-1-1
2.25
 —
0-0-2
3.12
1-0-1
2.57
0-0-2
1.44
1-0-1
2.48
0-1-1
1.66
2-0-0
1.53
0-1-1
1.93
1-0-1
2.34
2-0-0
3.22
0-1-1
1.66
1-1-0
2.81
0-1-1
2.42
1-1-0
2.49
0-1-1
1.28
Anzhi Makhachkala
0-1-1
1.91
2-0-0
2.31
 —
1-0-1
2.10
0-0-2
1.26
0-0-2
2.09
0-1-1
1.39
0-0-2
1.54
0-0-2
1.69
0-1-1
2.02
1-0-1
2.79
0-1-1
1.35
1-1-0
2.29
1-0-1
2.01
0-0-2
2.14
0-1-1
1.07
Arsenal Tula
2-0-0
2.22
1-0-1
2.84
1-0-1
3.33
 —
1-0-1
1.48
1-0-1
2.34
1-0-1
1.66
1-0-1
1.71
0-2-0
1.96
0-1-1
2.51
2-0-0
3.03
0-0-2
1.73
0-0-2
2.78
1-0-1
2.56
0-2-0
2.62
1-1-0
1.36
CSKA Moscow
1-0-1
3.70
2-0-0
4.08
2-0-0
4.31
1-0-1
4.02
 —
0-1-1
3.77
2-0-0
2.97
0-1-1
3.08
2-0-0
3.25
1-0-1
3.74
2-0-0
4.19
1-0-1
3.05
2-0-0
3.92
0-2-0
3.89
1-1-0
3.97
0-2-0
2.54
Dynamo Moscow
0-1-1
2.50
1-0-1
2.94
2-0-0
3.34
1-0-1
3.07
1-1-0
1.70
 —
0-1-1
1.98
0-0-2
1.99
1-0-1
2.10
0-2-0
2.55
2-0-0
3.63
1-1-0
2.04
1-0-1
3.28
0-2-0
2.89
0-1-1
2.98
0-1-1
1.58
Krasnodar
2-0-0
3.21
1-1-0
3.82
1-1-0
4.13
1-0-1
3.81
0-0-2
2.44
1-1-0
3.46
 —
1-0-1
2.61
1-1-0
2.88
1-1-0
3.53
2-0-0
4.34
0-0-2
2.98
2-0-0
3.65
1-0-1
3.67
1-1-0
3.66
1-0-1
2.23
Lokomotiv Moscow
0-2-0
3.51
0-0-2
3.97
2-0-0
3.95
1-0-1
3.76
1-1-0
2.36
2-0-0
3.44
1-0-1
2.80
 —
2-0-0
2.95
1-1-0
3.50
2-0-0
4.07
1-1-0
2.64
1-0-1
3.86
0-1-1
3.73
2-0-0
3.79
2-0-0
2.32
Rostov
0-0-2
3.20
1-1-0
3.51
2-0-0
3.79
0-2-0
3.51
0-0-2
2.17
1-0-1
3.33
0-1-1
2.54
0-0-2
2.50
 —
0-1-1
3.02
1-0-1
4.03
0-1-1
2.31
1-1-0
3.58
2-0-0
3.27
1-1-0
3.54
0-2-0
1.97
Rubin Kazan
1-0-1
2.76
1-0-1
3.08
1-1-0
3.41
1-1-0
2.91
1-0-1
1.73
0-2-0
2.86
0-1-1
1.91
0-1-1
1.95
1-1-0
2.41
 —
1-1-0
3.44
0-0-2
2.05
2-0-0
3.13
0-1-1
2.93
0-1-1
3.12
0-1-1
1.63
SKA-Khabarovsk
0-2-0
1.87
0-0-2
2.20
1-0-1
2.62
0-0-2
2.38
0-0-2
1.34
0-0-2
1.83
0-0-2
1.22
0-0-2
1.43
1-0-1
1.48
0-1-1
2.01
 —
0-1-1
1.45
0-1-1
2.21
0-1-1
1.89
0-1-1
2.23
0-0-2
1.19
Spartak Moscow
1-0-1
3.50
1-1-0
3.81
1-1-0
4.17
2-0-0
3.73
1-0-1
2.37
0-1-1
3.42
2-0-0
2.43
0-1-1
2.77
1-1-0
3.13
2-0-0
3.38
1-1-0
4.09
 —
1-1-0
3.83
1-1-0
3.38
1-0-1
3.78
1-0-1
2.19
Tosno
1-0-1
2.20
0-1-1
2.61
0-1-1
3.13
2-0-0
2.63
0-0-2
1.57
1-0-1
2.14
0-0-2
1.81
1-0-1
1.62
0-1-1
1.87
0-0-2
2.29
1-1-0
3.21
0-1-1
1.67
 —
0-0-2
2.30
0-1-1
2.53
0-0-2
1.48
Ufa
1-0-1
2.37
1-1-0
2.99
1-0-1
3.43
1-0-1
2.85
0-2-0
1.60
0-2-0
2.53
1-0-1
1.79
1-1-0
1.74
0-0-2
2.15
1-1-0
2.48
1-1-0
3.59
0-1-1
2.06
2-0-0
3.15
 —
1-1-0
2.81
0-0-2
1.54
Ural
1-1-0
2.45
0-1-1
2.93
2-0-0
3.29
0-2-0
2.79
0-1-1
1.52
1-1-0
2.44
0-1-1
1.80
0-0-2
1.68
0-1-1
1.90
1-1-0
2.30
1-1-0
3.19
1-0-1
1.69
1-1-0
2.88
0-1-1
2.60
 —
0-1-1
1.39
Zenit St. Petersburg
1-1-0
3.76
1-1-0
4.27
1-1-0
4.53
0-1-1
4.18
0-2-0
2.86
1-1-0
3.91
1-0-1
3.19
0-0-2
3.12
0-2-0
3.47
1-1-0
3.85
2-0-0
4.40
1-0-1
3.23
2-0-0
4.03
2-0-0
3.97
1-1-0
4.13
 —

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 0.79 +11.4
Allowed 0.67 -9.5
Differential 0.93 +6.6

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
012.50%12.29%6.67%2.50%0.62%1.25%35.83%
112.29%9.17%7.08%2.50%0.83%0.42%32.29%
26.67%7.08%5.83%1.46%0.21%—21.25%
32.50%2.50%1.46%0.42%0.21%—7.08%
40.62%0.83%0.21%0.21%——1.88%
5+1.25%0.42%————1.67%
Total35.83%32.29%21.25%7.08%1.88%1.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.13 1.13 +0.00
SD 1.16 1.16 1.71
CV 1.03 1.03 —
Max 6 6 +6
Min 0 0 -6

Games Played: 240

↓ Scored | Allowed →012345+Total
016.67%6.67%3.33%3.33%3.33%—33.33%
120.00%10.00%6.67%———36.67%
26.67%3.33%3.33%13.33%——26.67%
3—3.33%————3.33%
4———————
5+———————
Total43.33%23.33%13.33%16.67%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.00 1.13 -0.13
SD 0.87 1.25 1.38
CV 0.87 1.10 —
Max 3 4 +2
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
020.00%16.67%6.67%13.33%——56.67%
110.00%6.67%3.33%3.33%——23.33%
210.00%6.67%————16.67%
33.33%—————3.33%
4———————
5+———————
Total43.33%30.00%10.00%16.67%——100%

Summary Statistics

Scored Allowed Difference
Mean 0.67 1.00 -0.33
SD 0.88 1.11 1.63
CV 1.33 1.11 —
Max 3 3 +3
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
0—16.67%13.33%——3.33%33.33%
16.67%10.00%10.00%6.67%3.33%3.33%40.00%
23.33%3.33%10.00%3.33%——20.00%
3——3.33%———3.33%
43.33%—————3.33%
5+———————
Total13.33%30.00%36.67%10.00%3.33%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.03 1.83 -0.80
SD 1.00 1.39 1.85
CV 0.97 0.76 —
Max 4 6 +4
Min 0 0 -6

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%13.33%3.33%3.33%—3.33%26.67%
120.00%3.33%10.00%———33.33%
26.67%13.33%10.00%6.67%——36.67%
3———3.33%——3.33%
4———————
5+———————
Total30.00%30.00%23.33%13.33%—3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.17 1.37 -0.20
SD 0.87 1.35 1.61
CV 0.75 0.99 —
Max 3 6 +2
Min 0 0 -6

Games Played: 30

↓ Scored | Allowed →012345+Total
016.67%6.67%—3.33%——26.67%
113.33%3.33%6.67%3.33%——26.67%
26.67%16.67%3.33%———26.67%
36.67%3.33%————10.00%
4——3.33%———3.33%
5+6.67%—————6.67%
Total50.00%30.00%13.33%6.67%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.63 0.77 +0.87
SD 1.61 0.94 1.94
CV 0.98 1.22 —
Max 6 3 +6
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
016.67%13.33%6.67%3.33%3.33%—43.33%
16.67%10.00%6.67%———23.33%
210.00%10.00%6.67%———26.67%
33.33%3.33%————6.67%
4———————
5+———————
Total36.67%36.67%20.00%3.33%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 0.97 1.00 -0.03
SD 1.00 1.02 1.54
CV 1.03 1.02 —
Max 3 4 +3
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%10.00%10.00%———26.67%
110.00%13.33%3.33%—3.33%—30.00%
210.00%6.67%————16.67%
33.33%10.00%6.67%———20.00%
4—3.33%————3.33%
5+—3.33%————3.33%
Total30.00%46.67%20.00%—3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.53 1.00 +0.53
SD 1.36 0.91 1.68
CV 0.89 0.91 —
Max 5 4 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%6.67%10.00%———26.67%
126.67%6.67%3.33%———36.67%
26.67%6.67%3.33%———16.67%
36.67%6.67%————13.33%
43.33%——3.33%——6.67%
5+———————
Total53.33%26.67%16.67%3.33%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.37 0.70 +0.67
SD 1.22 0.88 1.47
CV 0.89 1.25 —
Max 4 3 +4
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%16.67%10.00%———40.00%
116.67%10.00%6.67%3.33%——36.67%
210.00%—10.00%———20.00%
3———————
4—3.33%————3.33%
5+———————
Total40.00%30.00%26.67%3.33%——100%

Summary Statistics

Scored Allowed Difference
Mean 0.90 0.93 -0.03
SD 0.96 0.91 1.30
CV 1.07 0.97 —
Max 4 3 +3
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
016.67%20.00%————36.67%
110.00%20.00%13.33%———43.33%
2—6.67%————6.67%
33.33%3.33%3.33%———10.00%
4———————
5+3.33%—————3.33%
Total33.33%50.00%16.67%———100%

Summary Statistics

Scored Allowed Difference
Mean 1.07 0.83 +0.23
SD 1.31 0.70 1.48
CV 1.23 0.84 —
Max 6 2 +6
Min 0 0 -1

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%23.33%16.67%6.67%3.33%3.33%63.33%
1—6.67%6.67%3.33%3.33%—20.00%
23.33%3.33%6.67%—3.33%—16.67%
3———————
4———————
5+———————
Total13.33%33.33%30.00%10.00%10.00%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 0.53 1.83 -1.30
SD 0.78 1.39 1.56
CV 1.46 0.76 —
Max 2 6 +2
Min 0 0 -6

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%3.33%————16.67%
110.00%—6.67%3.33%—3.33%23.33%
216.67%10.00%13.33%———40.00%
33.33%6.67%——3.33%—13.33%
4—6.67%————6.67%
5+———————
Total43.33%26.67%20.00%3.33%3.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.70 1.07 +0.63
SD 1.12 1.28 1.59
CV 0.66 1.20 —
Max 4 5 +3
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%16.67%13.33%——10.00%46.67%
110.00%3.33%10.00%10.00%——33.33%
23.33%3.33%10.00%———16.67%
3——3.33%———3.33%
4———————
5+———————
Total20.00%23.33%36.67%10.00%—10.00%100%

Summary Statistics

Scored Allowed Difference
Mean 0.77 1.80 -1.03
SD 0.86 1.52 1.85
CV 1.12 0.84 —
Max 3 6 +2
Min 0 0 -6

Games Played: 30

↓ Scored | Allowed →012345+Total
016.67%10.00%—3.33%——30.00%
116.67%13.33%10.00%3.33%3.33%—46.67%
23.33%3.33%3.33%———10.00%
33.33%—6.67%———10.00%
4———————
5+3.33%—————3.33%
Total43.33%26.67%20.00%6.67%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.13 1.00 +0.13
SD 1.17 1.11 1.59
CV 1.03 1.11 —
Max 5 4 +5
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%10.00%13.33%———30.00%
110.00%26.67%6.67%———43.33%
23.33%6.67%10.00%———20.00%
33.33%3.33%————6.67%
4———————
5+———————
Total23.33%46.67%30.00%———100%

Summary Statistics

Scored Allowed Difference
Mean 1.03 1.07 -0.03
SD 0.89 0.74 1.22
CV 0.86 0.69 —
Max 3 2 +3
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
026.67%6.67%—3.33%——36.67%
110.00%3.33%3.33%3.33%——20.00%
26.67%13.33%3.33%———23.33%
33.33%——3.33%——6.67%
43.33%—————3.33%
5+6.67%3.33%————10.00%
Total56.67%26.67%6.67%10.00%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.53 0.70 +0.83
SD 1.70 0.99 1.97
CV 1.11 1.41 —
Max 6 3 +6
Min 0 0 -3

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 2007 58 53.12 +4.88 85.0% 41 44 49 53 56 62 64
Zenit St. Petersburg 1979 53 57.50 -4.50 29.0% 44 46 52 57 61 68 75
Spartak Moscow 1964 56 50.77 +5.23 81.0% 38 41 46 51 54 60 65
Krasnodar 1951 54 50.55 +3.45 74.0% 33 39 47 50 55 62 64
Lokomotiv Moscow 1951 60 50.34 +9.66 95.0% 40 41 45 50 54 60 74
Rostov 1862 37 46.46 -9.46 11.0% 26 35 42 47 50 57 68
Rubin Kazan 1851 38 37.74 +0.26 59.0% 22 27 33 38 42 49 52
Ufa 1848 43 36.87 +6.13 84.0% 19 24 32 37 41 48 54
Dynamo Moscow 1843 40 38.70 +1.30 64.0% 23 26 34 38 42 51 55
Akhmat Grozny 1837 39 40.04 -1.04 47.0% 21 29 35 40 44 50 61
Arsenal Tula 1806 42 33.64 +8.36 92.0% 19 23 29 33 38 43 49
Amkar Perm 1796 35 33.38 +1.62 65.0% 19 22 29 33 38 43 50
Ural 1783 37 35.08 +1.92 62.0% 14 22 29 35 40 48 53
Anzhi Makhachkala 1697 24 28.80 -4.80 19.0% 15 18 25 28 33 38 45
Tosno 1684 24 32.54 -8.54 11.0% 17 23 28 32 36 43 46
SKA-Khabarovsk 1619 13 28.37 -15.37 1.0% 9 17 24 29 33 38 45

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
+10.42%
No Edge
41.25%27.92%30.83%
Elo Value
Home Edge: 36.32 Elo pts.
168 Elo
0.006 goals per Elo point
0500
Scoring Tilt
Expected
+0.29 goals
Neutral
-2+0.22+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
3.4
Open
123410
Champion Preseason Odds
13%
Lokomotiv Moscow, 3rd of 16
LongshotFavorite
Title Margin
Expected
0.07/gm
Photo Finish
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 5.2 * Some Luck: 5.2 to 7.79 * Lucky: 7.79 to 10.39 * Wild Swing: 10.39 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 1.77 * Close: 1.77 to 2.66 * Off: 2.66 to 3.55 * Way Off: 3.55 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
6.68 points
Some Luck
06.5016
Average Finish Error
Expected
1.75
Pinpoint
02.225
Biggest Overachiever
Expected 96.88%
95.00%
Lokomotiv Moscow
50100
Biggest Underachiever
Expected 3.12%
1.00%
SKA-Khabarovsk
050
Season Outliers
Expected
1 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
0.17
Top-Heavy
00.150.5
Noll-Scully
Elo SD: 112.05
1.87
Strong Separation
11.722.5
Interquartile Edge
73%
Wide Edge
50%66%72.5%100%
Best vs. Worst
Baseline
90%
Clear Edge
50%92%100%
Close Games
Expected
70%
Very Frequent
0%62%100%
Blowouts
Expected
11%
Rare
0%14%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
0.61
Predictable
00.622
Matchup Imbalance
0.34
Slight Separation
00.330.40.5
Strangeness
Expected
1.07
As Expected
01.002
Repeatability
0.72
Near-Lock
00.590.721
Upset Rate
Expected
20%
As Expected
0%24%50%
Clear Favorite Upset Rate
Expected
19%
Shaky Favorites
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
0.09
Borderline
0.010.050.10.51
Calibration slope
Ideal
1.09
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.097
Well Within Noise
00.1100.25

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

Yenisey Krasnoyarsk 6
Anzhi Makhachkala 4

Leg 1: Yenisey Krasnoyarsk 3-0 Anzhi Makhachkala

Leg 2: Anzhi Makhachkala 4-3 Yenisey Krasnoyarsk

Sim: 3.0%

Amkar Perm 3
Tambov 0

Leg 1: Amkar Perm 2-0 Tambov

Leg 2: Tambov 0-1 Amkar Perm

Sim: 1.0%

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
Lokomotiv Moscow13.00%10.00%21.00%12.00%12.00%14.00%9.00%6.00%3.00%———————
CSKA Moscow19.00%25.00%18.00%16.00%9.00%9.00%3.00%—1.00%———————
Spartak Moscow9.00%14.00%19.00%18.00%17.00%11.00%6.00%3.00%2.00%——1.00%————
Krasnodar10.00%17.00%12.00%18.00%18.00%10.00%7.00%4.00%—1.00%1.00%1.00%1.00%———
Zenit St. Petersburg47.00%21.00%13.00%9.00%5.00%1.00%4.00%—————————
Ufa—1.00%——4.00%8.00%6.00%14.00%13.00%15.00%11.00%6.00%8.00%4.00%5.00%5.00%
Arsenal Tula————2.00%5.00%2.00%9.00%7.00%10.00%10.00%13.00%13.00%8.00%14.00%7.00%
Dynamo Moscow——5.00%4.00%3.00%7.00%8.00%12.00%17.00%8.00%9.00%12.00%4.00%5.00%3.00%3.00%
Akhmat Grozny—2.00%2.00%1.00%5.00%8.00%24.00%8.00%11.00%9.00%9.00%10.00%6.00%2.00%3.00%—
Rubin Kazan—1.00%—3.00%6.00%5.00%9.00%8.00%14.00%14.00%11.00%10.00%5.00%5.00%6.00%3.00%
Rostov2.00%8.00%9.00%17.00%15.00%11.00%11.00%9.00%6.00%5.00%1.00%3.00%2.00%——1.00%
Ural—1.00%1.00%2.00%3.00%4.00%6.00%10.00%8.00%10.00%9.00%10.00%6.00%11.00%10.00%9.00%
Amkar Perm—————3.00%4.00%8.00%9.00%10.00%12.00%9.00%11.00%18.00%7.00%9.00%
Anzhi Makhachkala—————1.00%1.00%1.00%1.00%4.00%8.00%7.00%13.00%19.00%22.00%23.00%
Tosno————1.00%2.00%—7.00%5.00%8.00%11.00%13.00%13.00%17.00%12.00%11.00%
SKA-Khabarovsk—————1.00%—1.00%3.00%6.00%8.00%5.00%18.00%11.00%18.00%29.00%

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% — —
Lokomotiv Moscow 100% — —
Spartak Moscow 100% — —
Zenit St. Petersburg 100% — —
Krasnodar 99.00% 1.00% —
Rostov 97.00% 2.00% 1.00%
Akhmat Grozny 89.00% 8.00% 3.00%
Dynamo Moscow 85.00% 9.00% 6.00%
Rubin Kazan 81.00% 10.00% 9.00%
Ufa 78.00% 12.00% 10.00%
Ural 64.00% 17.00% 19.00%
Arsenal Tula 58.00% 21.00% 21.00%
Tosno 47.00% 30.00% 23.00%
SKA-Khabarovsk 24.00% 29.00% 47.00%
Amkar Perm — 100% —
Anzhi Makhachkala — 100% —
Loser →
↓ Winner
Akhmat GroznyAmkar PermAnzhi MakhachkalaArsenal TulaBaltika KaliningradDynamo MoscowKhimkiKrylia SovetovKuban Krasnodar (1st)Olimpiyets Nizhny NovgorodOrenburgRostovRotor VolgogradRubin KazanSKA-KhabarovskShinnik YaroslavlSibir NovosibirskSpartak MoscowTambovTosnoTyumenUfaUralVolgar AstrakhanYenisey Krasnoyarsk
Akhmat Grozny100.0%1.00%100.0%2.00%0.0%1.00%50.0%2.00%100.0%1.00%100.0%1.00%100.0%1.00%
Amkar Perm100.0%1.00%0.0%2.00%0.0%1.00%75.0%4.00%100.0%1.00%33.3%3.00%100.0%1.00%60.0%5.00%
Anzhi Makhachkala0.0%2.00%50.0%6.00%40.0%5.00%100.0%1.00%100.0%1.00%100.0%1.00%66.7%3.00%16.7%6.00%100.0%1.00%100.0%1.00%0.0%3.00%
Arsenal Tula100.0%1.00%0.0%1.00%50.0%2.00%50.0%2.00%0.0%8.00%100.0%1.00%75.0%4.00%0.0%1.00%100.0%2.00%
Baltika Kaliningrad0.0%1.00%100.0%2.00%0.0%1.00%66.7%3.00%33.3%3.00%0.0%1.00%
Dynamo Moscow33.3%3.00%50.0%2.00%100.0%1.00%100.0%2.00%80.0%5.00%100.0%1.00%100.0%1.00%
Khimki100.0%1.00%
Krylia Sovetov0.0%1.00%100.0%2.00%50.0%6.00%50.0%2.00%50.0%2.00%100.0%2.00%100.0%4.00%33.3%3.00%0.0%1.00%50.0%2.00%
Kuban Krasnodar (1st)60.0%5.00%50.0%2.00%0.0%2.00%0.0%1.00%
Olimpiyets Nizhny Novgorod100.0%1.00%0.0%1.00%100.0%1.00%100.0%1.00%0.0%1.00%
Orenburg0.0%2.00%25.0%4.00%0.0%1.00%100.0%8.00%50.0%4.00%100.0%5.00%60.0%5.00%57.1%7.00%42.9%7.00%
Rostov100.0%2.00%0.0%1.00%100.0%1.00%
Rotor Volgograd0.0%1.00%0.0%1.00%
Rubin Kazan0.0%2.00%50.0%4.00%100.0%1.00%
SKA-Khabarovsk0.0%4.00%0.0%1.00%0.0%5.00%33.3%3.00%0.0%6.00%50.0%2.00%25.0%4.00%
Shinnik Yaroslavl0.0%1.00%0.0%1.00%66.7%3.00%
Sibir Novosibirsk100.0%1.00%33.3%3.00%0.0%2.00%0.0%1.00%50.0%2.00%
Spartak Moscow100.0%1.00%
Tambov50.0%2.00%66.7%3.00%83.3%6.00%25.0%4.00%20.0%5.00%100.0%1.00%100.0%6.00%0.0%1.00%57.1%7.00%33.3%3.00%14.3%7.00%
Tosno66.7%3.00%66.7%3.00%40.0%5.00%100.0%1.00%42.9%7.00%100.0%1.00%33.3%6.00%
Tyumen0.0%1.00%0.0%1.00%0.0%1.00%0.0%1.00%0.0%1.00%
Ufa100.0%1.00%100.0%1.00%100.0%1.00%0.0%1.00%42.9%7.00%50.0%2.00%66.7%3.00%100.0%1.00%100.0%3.00%100.0%2.00%
Ural50.0%2.00%100.0%1.00%57.1%7.00%85.7%7.00%50.0%2.00%50.0%2.00%
Volgar Astrakhan0.0%1.00%0.0%1.00%100.0%1.00%0.0%1.00%0.0%1.00%50.0%2.00%0.0%3.00%50.0%2.00%
Yenisey Krasnoyarsk0.0%1.00%40.0%5.00%100.0%3.00%0.0%2.00%0.0%1.00%0.0%1.00%75.0%4.00%66.7%6.00%0.0%2.00%50.0%2.00%

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
Yenisey Krasnoyarsk 31.79%
Amkar Perm 26.57%
Tambov 23.43%
Anzhi Makhachkala 18.21%
Loser →
↓ Winner
Amkar PermAnzhi MakhachkalaTambovYenisey Krasnoyarsk
Amkar Perm53.1%50.00%
Anzhi Makhachkala36.4%50.00%
Tambov46.9%50.00%
Yenisey Krasnoyarsk63.6%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
2017-07-15 CSKA Moscow L 1-358.7 1771 1958 18.60% 26.35% 55.05%-0.90 -7.7 0
2017-07-15 @ Anzhi Makhachkala W 3-158.7 1958 1771 55.05% 26.35% 18.60%+0.90 +7.7 3
2017-07-15 Rostov D 1-172.8 1763 1908 22.15% 27.84% 50.01%-0.65 +1.2 1
2017-07-15 @ Ural D 1-172.8 1908 1763 50.01% 27.84% 22.15%+0.65 -1.2 1
2017-07-15 Ufa L 0-163.3 1799 1800 40.21% 29.42% 30.37%+0.21 -8.7 0
2017-07-15 @ Tosno W 1-063.3 1800 1799 30.37% 29.42% 40.21%-0.21 +8.7 3
2017-07-16 Amkar Perm W 1-058.2 1845 1792 47.49% 28.41% 24.11%+0.53 +5.9 3
2017-07-16 @ Akhmat Grozny L 0-158.2 1792 1845 24.11% 28.41% 47.49%-0.53 -5.9 0
2017-07-16 Krasnodar L 1-265.0 1813 1923 25.75% 28.78% 45.47%-0.44 -5.9 0
2017-07-16 @ Rubin Kazan W 2-165.0 1923 1813 45.47% 28.78% 25.75%+0.44 +5.9 3
2017-07-16 Zenit St. Petersburg L 0-252.8 1765 1954 18.47% 26.28% 55.25%-0.91 -8.8 0
2017-07-16 @ SKA-Khabarovsk W 2-052.8 1954 1765 55.25% 26.28% 18.47%+0.91 +8.8 3
2017-07-18 Arsenal Tula W 1-056.7 1872 1780 52.36% 27.20% 20.44%+0.76 +5.1 3
2017-07-18 @ Lokomotiv Moscow L 0-156.7 1780 1872 20.44% 27.20% 52.36%-0.76 -5.1 0
2017-07-18 Spartak Moscow D 2-278.1 1837 1887 33.22% 29.59% 37.19%-0.08 +0.1 1
2017-07-18 @ Dynamo Moscow D 2-278.1 1887 1837 37.19% 29.59% 33.22%+0.08 -0.1 1
2017-07-21 Amkar Perm W 1-061.2 1763 1786 37.03% 29.59% 33.38%+0.08 +7.6 3
2017-07-21 @ Anzhi Makhachkala L 0-161.2 1786 1763 33.38% 29.59% 37.03%-0.08 -7.6 0
2017-07-21 Lokomotiv Moscow L 1-369.0 1965 1877 51.94% 27.32% 20.74%+0.74 -17.4 3
2017-07-21 @ CSKA Moscow W 3-169.0 1877 1965 20.74% 27.32% 51.94%-0.74 +17.4 6
2017-07-22 Rubin Kazan W 2-160.7 1962 1807 59.73% 24.55% 15.71%+1.14 +3.7 6
2017-07-22 @ Zenit St. Petersburg L 1-260.7 1807 1962 15.71% 24.55% 59.73%-1.14 -3.7 0
2017-07-22 Tosno W 2-052.0 1929 1790 57.88% 25.31% 16.81%+1.04 +8.0 6
2017-07-22 @ Krasnodar L 0-252.0 1790 1929 16.81% 25.31% 57.88%-1.04 -8.0 0
2017-07-23 Akhmat Grozny L 0-165.4 1907 1851 47.78% 28.35% 23.87%+0.55 -10.0 1
2017-07-23 @ Rostov W 1-065.4 1851 1907 23.87% 28.35% 47.78%-0.55 +10.0 6
2017-07-23 Spartak Moscow D 0-067.0 1809 1887 29.51% 29.34% 41.15%-0.25 +0.6 4
2017-07-23 @ Ufa D 0-067.0 1887 1809 41.15% 29.34% 29.51%+0.25 -0.5 2
2017-07-23 Ural L 0-165.7 1837 1764 50.05% 27.83% 22.12%+0.65 -10.3 1
2017-07-23 @ Dynamo Moscow W 1-065.7 1764 1837 22.12% 27.83% 50.05%-0.65 +10.3 4
2017-07-24 SKA-Khabarovsk W 1-059.4 1775 1756 42.89% 29.15% 27.96%+0.33 +6.7 3
2017-07-24 @ Arsenal Tula L 0-159.4 1756 1775 27.96% 29.15% 42.89%-0.33 -6.7 0
2017-07-29 Arsenal Tula W 2-165.5 1803 1781 43.35% 29.10% 27.56%+0.35 +6.2 3
2017-07-29 @ Rubin Kazan L 1-265.5 1781 1803 27.56% 29.10% 43.35%-0.35 -6.2 3
2017-07-29 Dynamo Moscow W 2-055.8 1861 1827 45.08% 28.84% 26.08%+0.42 +11.9 9
2017-07-29 @ Akhmat Grozny L 0-255.8 1827 1861 26.08% 28.84% 45.08%-0.42 -11.9 1
2017-07-29 SKA-Khabarovsk W 2-050.1 1948 1749 64.31% 22.46% 13.23%+1.40 +6.2 6
2017-07-29 @ CSKA Moscow L 0-250.1 1749 1948 13.23% 22.46% 64.31%-1.40 -6.2 0
2017-07-29 Ufa D 1-172.1 1774 1809 35.38% 29.62% 35.00%+0.01 -0.0 5
2017-07-29 @ Ural D 1-172.1 1809 1774 35.00% 29.62% 35.38%-0.01 +0.0 5
2017-07-30 Anzhi Makhachkala W 1-055.6 1894 1771 56.13% 25.97% 17.90%+0.95 +4.5 9
2017-07-30 @ Lokomotiv Moscow L 0-155.6 1771 1894 17.90% 25.97% 56.13%-0.95 -4.5 3
2017-07-30 Rostov L 0-158.5 1779 1897 24.92% 28.60% 46.48%-0.49 -6.1 0
2017-07-30 @ Amkar Perm W 1-058.5 1897 1779 46.48% 28.60% 24.92%+0.49 +6.1 4
2017-07-30 Zenit St. Petersburg L 0-156.1 1782 1966 18.84% 26.47% 54.70%-0.88 -4.8 0
2017-07-30 @ Tosno W 1-056.1 1966 1782 54.70% 26.47% 18.84%+0.88 +4.7 9
2017-07-31 Krasnodar W 2-059.5 1886 1937 33.18% 29.59% 37.23%-0.08 +15.6 5
2017-07-31 @ Spartak Moscow L 0-259.5 1937 1886 37.23% 29.59% 33.18%+0.08 -15.6 6
2017-08-04 Rostov L 0-157.8 1766 1903 22.99% 28.10% 48.92%-0.60 -5.7 3
2017-08-04 @ Anzhi Makhachkala W 1-057.8 1903 1766 48.92% 28.10% 22.99%+0.60 +5.7 7
2017-08-05 Akhmat Grozny W 3-273.9 1809 1873 31.34% 29.50% 39.16%-0.17 +7.7 8
2017-08-05 @ Ufa L 2-373.9 1873 1809 39.16% 29.50% 31.34%+0.17 -7.7 9
2017-08-05 Amkar Perm W 3-053.8 1815 1773 46.04% 28.68% 25.28%+0.47 +16.9 4
2017-08-05 @ Dynamo Moscow L 0-353.8 1773 1815 25.28% 28.68% 46.04%-0.47 -16.9 0
2017-08-05 SKA-Khabarovsk W 1-054.5 1899 1743 59.72% 24.56% 15.72%+1.14 +4.0 12
2017-08-05 @ Lokomotiv Moscow L 0-154.5 1743 1899 15.72% 24.56% 59.72%-1.14 -4.0 0
2017-08-06 Rubin Kazan L 1-273.7 1954 1809 58.52% 25.06% 16.43%+1.08 -11.0 6
2017-08-06 @ CSKA Moscow W 2-173.7 1809 1954 16.43% 25.06% 58.52%-1.08 +11.0 6
2017-08-06 Spartak Moscow W 5-156.1 1971 1902 49.51% 27.96% 22.53%+0.63 +16.7 12
2017-08-06 @ Zenit St. Petersburg L 1-556.1 1902 1971 22.53% 27.96% 49.51%-0.63 -16.7 5
2017-08-06 Tosno L 1-269.2 1775 1777 40.02% 29.44% 30.54%+0.20 -8.2 3
2017-08-06 @ Arsenal Tula W 2-169.2 1777 1775 30.54% 29.44% 40.02%-0.20 +8.2 3
2017-08-06 Ural D 1-173.7 1921 1774 58.83% 24.93% 16.24%+1.09 -2.0 7
2017-08-06 @ Krasnodar D 1-173.7 1774 1921 16.24% 24.93% 58.83%-1.09 +2.0 6
2017-08-08 Anzhi Makhachkala W 2-057.8 1739 1760 37.38% 29.58% 33.04%+0.09 +14.3 3
2017-08-08 @ SKA-Khabarovsk L 0-257.8 1760 1739 33.04% 29.58% 37.38%-0.09 -14.3 3
2017-08-08 Ufa D 0-066.8 1756 1817 31.77% 29.52% 38.71%-0.15 +0.3 1
2017-08-08 @ Amkar Perm D 0-066.8 1817 1756 38.71% 29.52% 31.77%+0.15 -0.3 9
2017-08-09 Arsenal Tula W 2-052.7 1885 1767 55.53% 26.18% 18.29%+0.92 +8.7 8
2017-08-09 @ Spartak Moscow L 0-252.7 1767 1885 18.29% 26.18% 55.53%-0.92 -8.7 3
2017-08-09 CSKA Moscow L 1-263.2 1786 1943 21.07% 27.45% 51.48%-0.72 -5.0 3
2017-08-09 @ Tosno W 2-163.2 1943 1786 51.48% 27.45% 21.07%+0.72 +5.0 9
2017-08-09 Dynamo Moscow W 1-057.4 1909 1832 50.53% 27.70% 21.77%+0.67 +5.4 10
2017-08-09 @ Rostov L 0-157.4 1832 1909 21.77% 27.70% 50.53%-0.67 -5.4 4
2017-08-09 Lokomotiv Moscow D 1-172.4 1820 1903 29.04% 29.29% 41.66%-0.27 +0.5 7
2017-08-09 @ Rubin Kazan D 1-172.4 1903 1820 41.66% 29.29% 29.04%+0.27 -0.5 13
2017-08-09 Zenit St. Petersburg D 1-173.6 1776 1988 16.81% 25.31% 57.88%-1.04 +1.9 7
2017-08-09 @ Ural D 1-173.6 1988 1776 57.88% 25.31% 16.81%+1.04 -1.9 13
2017-08-10 Krasnodar L 2-372.0 1866 1919 32.74% 29.57% 37.69%-0.10 -6.7 9
2017-08-10 @ Akhmat Grozny W 3-272.0 1919 1866 37.69% 29.57% 32.74%+0.10 +6.7 10
2017-08-12 Dynamo Moscow L 1-362.6 1746 1826 29.30% 29.32% 41.38%-0.26 -11.3 3
2017-08-12 @ Anzhi Makhachkala W 3-162.6 1826 1746 41.38% 29.32% 29.30%+0.26 +11.3 7
2017-08-12 Rostov L 1-459.3 1816 1914 27.20% 29.04% 43.76%-0.36 -15.1 9
2017-08-12 @ Ufa W 4-159.3 1914 1816 43.76% 29.04% 27.20%+0.36 +15.1 13
2017-08-12 Spartak Moscow W 2-164.4 1948 1894 47.59% 28.39% 24.03%+0.54 +5.6 12
2017-08-12 @ CSKA Moscow L 1-264.4 1894 1948 24.03% 28.39% 47.59%-0.54 -5.6 8
2017-08-13 Akhmat Grozny W 4-050.7 1986 1859 56.49% 25.83% 17.67%+0.97 +16.0 16
2017-08-13 @ Zenit St. Petersburg L 0-450.7 1859 1986 17.67% 25.83% 56.49%-0.97 -16.0 9
2017-08-13 Amkar Perm D 1-174.0 1926 1756 61.32% 23.86% 14.81%+1.23 -2.2 11
2017-08-13 @ Krasnodar D 1-174.0 1756 1926 14.81% 23.86% 61.32%-1.23 +2.2 2
2017-08-13 Rubin Kazan D 1-172.2 1754 1821 30.92% 29.47% 39.61%-0.18 +0.4 4
2017-08-13 @ SKA-Khabarovsk D 1-172.2 1821 1754 39.61% 29.47% 30.92%+0.18 -0.4 8
2017-08-13 Tosno L 0-263.9 1902 1781 55.88% 26.06% 18.06%+0.94 -21.3 13
2017-08-13 @ Lokomotiv Moscow W 2-063.9 1781 1902 18.06% 26.06% 55.88%-0.94 +21.3 6
2017-08-14 Ural D 2-277.9 1758 1778 37.55% 29.57% 32.87%+0.10 -0.2 4
2017-08-14 @ Arsenal Tula D 2-277.9 1778 1758 32.87% 29.57% 37.55%-0.10 +0.1 8
2017-08-18 SKA-Khabarovsk D 0-067.1 1802 1754 46.82% 28.54% 24.64%+0.50 -1.1 7
2017-08-18 @ Tosno D 0-067.1 1754 1802 24.64% 28.54% 46.82%-0.50 +1.1 5
2017-08-19 Anzhi Makhachkala W 6-053.0 1821 1735 51.63% 27.41% 20.96%+0.73 +27.5 11
2017-08-19 @ Rubin Kazan L 0-653.0 1735 1821 20.96% 27.41% 51.63%-0.73 -27.5 3
2017-08-19 CSKA Moscow D 0-067.8 1778 1953 19.53% 26.80% 53.67%-0.83 +1.7 9
2017-08-19 @ Ural D 0-067.8 1953 1778 53.67% 26.80% 19.53%+0.83 -1.7 13
2017-08-19 Lokomotiv Moscow L 3-476.6 1888 1881 41.40% 29.32% 29.28%+0.26 -7.8 8
2017-08-19 @ Spartak Moscow W 4-376.6 1881 1888 29.28% 29.32% 41.40%-0.26 +7.8 16
2017-08-20 Krasnodar D 0-067.1 1929 1924 41.06% 29.35% 29.59%+0.25 -0.5 14
2017-08-20 @ Rostov D 0-067.1 1924 1929 29.59% 29.35% 41.06%-0.25 +0.5 12
2017-08-20 Ufa D 1-172.5 1838 1801 45.26% 28.81% 25.92%+0.43 -0.8 8
2017-08-20 @ Dynamo Moscow D 1-172.5 1801 1838 25.92% 28.81% 45.26%-0.43 +0.8 10
2017-08-20 Zenit St. Petersburg L 0-154.1 1758 2002 14.78% 23.83% 61.39%-1.23 -3.7 2
2017-08-20 @ Amkar Perm W 1-054.1 2002 1758 61.39% 23.83% 14.78%+1.23 +3.7 19
2017-08-21 Arsenal Tula L 1-272.2 1843 1758 51.51% 27.44% 21.05%+0.72 -10.0 9
2017-08-21 @ Akhmat Grozny W 2-172.2 1758 1843 21.05% 27.44% 51.51%-0.72 +10.0 7
2017-08-25 Ufa W 1-063.9 1707 1802 27.50% 29.09% 43.41%-0.35 +9.3 6
2017-08-25 @ Anzhi Makhachkala L 0-163.9 1802 1707 43.41% 29.09% 27.50%+0.35 -9.2 10
2017-08-26 Amkar Perm L 0-163.6 1768 1755 42.19% 29.24% 28.57%+0.30 -9.1 7
2017-08-26 @ Arsenal Tula W 1-063.6 1755 1768 28.57% 29.24% 42.19%-0.30 +9.1 5
2017-08-26 Tosno W 1-058.4 1848 1801 46.73% 28.56% 24.71%+0.50 +6.1 14
2017-08-26 @ Rubin Kazan L 0-158.4 1801 1848 24.71% 28.56% 46.73%-0.50 -6.1 7
2017-08-26 Ural W 2-162.3 1889 1780 54.38% 26.57% 19.05%+0.86 +4.5 19
2017-08-26 @ Lokomotiv Moscow L 1-262.3 1780 1889 19.05% 26.57% 54.38%-0.86 -4.5 9
2017-08-27 Akhmat Grozny L 0-167.1 1952 1833 55.57% 26.17% 18.27%+0.92 -11.2 13
2017-08-27 @ CSKA Moscow W 1-067.1 1833 1952 18.27% 26.17% 55.57%-0.92 +11.2 12
2017-08-27 Dynamo Moscow W 2-053.8 1925 1837 51.88% 27.34% 20.78%+0.74 +9.8 15
2017-08-27 @ Krasnodar L 0-253.8 1837 1925 20.78% 27.34% 51.88%-0.74 -9.8 8
2017-08-27 Rostov D 0-067.6 2005 1929 50.49% 27.71% 21.79%+0.67 -1.4 20
2017-08-27 @ Zenit St. Petersburg D 0-067.6 1929 2005 21.79% 27.71% 50.49%-0.67 +1.4 15
2017-08-27 Spartak Moscow D 0-067.2 1755 1881 24.12% 28.41% 47.47%-0.53 +1.2 6
2017-08-27 @ SKA-Khabarovsk D 0-067.2 1881 1755 47.47% 28.41% 24.12%+0.53 -1.2 9
2017-09-08 CSKA Moscow L 0-156.3 1764 1940 19.41% 26.75% 53.84%-0.84 -4.9 5
2017-09-08 @ Amkar Perm W 1-056.3 1940 1764 53.84% 26.75% 19.41%+0.84 +4.9 16
2017-09-09 Anzhi Makhachkala D 2-278.4 1795 1716 50.69% 27.66% 21.65%+0.68 -1.0 8
2017-09-09 @ Tosno D 2-278.4 1716 1795 21.65% 27.66% 50.69%-0.68 +1.0 7
2017-09-09 Arsenal Tula D 2-279.8 1930 1759 61.43% 23.82% 14.75%+1.23 -1.6 16
2017-09-09 @ Rostov D 2-279.8 1759 1930 14.75% 23.82% 61.43%-1.23 +1.6 8
2017-09-09 Rubin Kazan W 1-059.4 1880 1854 43.81% 29.03% 27.15%+0.37 +6.5 12
2017-09-09 @ Spartak Moscow L 0-159.4 1854 1880 27.15% 29.03% 43.81%-0.37 -6.5 14
2017-09-10 Krasnodar L 0-157.7 1793 1934 22.54% 27.96% 49.50%-0.63 -5.6 10
2017-09-10 @ Ufa W 1-057.7 1934 1793 49.50% 27.96% 22.54%+0.63 +5.6 18
2017-09-10 Lokomotiv Moscow D 1-172.3 1844 1893 33.41% 29.59% 36.99%-0.07 +0.2 13
2017-09-10 @ Akhmat Grozny D 1-172.3 1893 1844 36.99% 29.59% 33.41%+0.07 -0.1 20
2017-09-10 Zenit St. Petersburg D 0-067.9 1827 2004 19.39% 26.74% 53.87%-0.84 +1.8 9
2017-09-10 @ Dynamo Moscow D 0-067.9 2004 1827 53.87% 26.74% 19.39%+0.84 -1.8 21
2017-09-11 SKA-Khabarovsk D 1-172.2 1775 1756 42.97% 29.14% 27.88%+0.33 -0.6 10
2017-09-11 @ Ural D 1-172.2 1756 1775 27.88% 29.14% 42.97%-0.33 +0.7 7
2017-09-15 Dynamo Moscow W 1-063.1 1761 1829 30.84% 29.46% 39.69%-0.19 +8.7 11
2017-09-15 @ Arsenal Tula L 0-163.1 1829 1761 39.69% 29.46% 30.84%+0.19 -8.6 9
2017-09-16 Krasnodar L 1-553.1 1717 1940 16.07% 24.81% 59.11%-1.11 -12.1 7
2017-09-16 @ Anzhi Makhachkala W 5-153.1 1940 1717 59.11% 24.81% 16.07%+1.11 +12.1 21
2017-09-16 Rostov W 2-056.6 1945 1928 42.68% 29.18% 28.14%+0.32 +12.7 19
2017-09-16 @ CSKA Moscow L 0-256.6 1928 1945 28.14% 29.18% 42.68%-0.32 -12.7 16
2017-09-17 Akhmat Grozny D 2-278.1 1757 1844 28.39% 29.21% 42.39%-0.30 +0.4 8
2017-09-17 @ SKA-Khabarovsk D 2-278.1 1844 1757 42.39% 29.21% 28.39%+0.30 -0.5 14
2017-09-17 Spartak Moscow D 2-278.2 1794 1886 27.83% 29.14% 43.04%-0.33 +0.5 9
2017-09-17 @ Tosno D 2-278.2 1886 1794 43.04% 29.14% 27.83%+0.33 -0.5 13
2017-09-17 Ural L 0-165.8 1848 1775 50.02% 27.83% 22.15%+0.65 -10.4 14
2017-09-17 @ Rubin Kazan W 1-065.8 1775 1848 22.15% 27.83% 50.02%-0.65 +10.3 13
2017-09-18 Amkar Perm L 0-167.3 1893 1759 57.35% 25.52% 17.14%+1.01 -11.5 20
2017-09-18 @ Lokomotiv Moscow W 1-067.3 1759 1893 17.14% 25.52% 57.35%-1.01 +11.5 8
2017-09-18 Ufa W 3-048.0 2002 1787 65.98% 21.62% 12.39%+1.49 +8.3 24
2017-09-18 @ Zenit St. Petersburg L 0-348.0 1787 2002 12.39% 21.62% 65.98%-1.49 -8.3 10
2017-09-23 Anzhi Makhachkala D 2-279.9 1886 1705 62.40% 23.37% 14.23%+1.29 -1.7 14
2017-09-23 @ Spartak Moscow D 2-279.9 1705 1886 14.23% 23.37% 62.40%-1.29 +1.7 8
2017-09-23 CSKA Moscow D 0-067.5 1820 1958 22.86% 28.06% 49.08%-0.61 +1.3 10
2017-09-23 @ Dynamo Moscow D 0-067.5 1958 1820 49.08% 28.06% 22.86%+0.61 -1.3 20
2017-09-24 Arsenal Tula W 1-059.8 1779 1769 41.70% 29.29% 29.01%+0.27 +6.9 13
2017-09-24 @ Ufa L 0-159.8 1769 1779 29.01% 29.29% 41.70%-0.27 -6.9 11
2017-09-24 Lokomotiv Moscow L 0-164.7 1916 1881 45.02% 28.85% 26.13%+0.42 -9.5 16
2017-09-24 @ Rostov W 1-064.7 1881 1916 26.13% 28.85% 45.02%-0.42 +9.5 23
2017-09-24 Tosno W 3-163.3 1785 1794 39.04% 29.50% 31.45%+0.16 +12.0 16
2017-09-24 @ Ural L 1-363.3 1794 1785 31.45% 29.50% 39.04%-0.16 -11.9 9
2017-09-24 Zenit St. Petersburg L 0-257.9 1952 2010 32.12% 29.54% 38.34%-0.13 -14.0 21
2017-09-24 @ Krasnodar W 2-057.9 2010 1952 38.34% 29.54% 32.12%+0.13 +14.0 27
2017-09-25 Rubin Kazan W 1-060.1 1844 1837 41.26% 29.33% 29.41%+0.26 +7.0 17
2017-09-25 @ Akhmat Grozny L 0-160.1 1837 1844 29.41% 29.33% 41.26%-0.26 -7.0 14
2017-09-25 SKA-Khabarovsk W 3-054.8 1770 1757 42.14% 29.24% 28.62%+0.29 +18.7 11
2017-09-25 @ Amkar Perm L 0-354.8 1757 1770 28.62% 29.24% 42.14%-0.29 -18.6 8
2017-09-29 Krasnodar W 1-066.6 1762 1938 19.50% 26.79% 53.71%-0.83 +11.0 14
2017-09-29 @ Arsenal Tula L 0-166.6 1938 1762 53.71% 26.79% 19.50%+0.83 -11.0 21
2017-09-30 Akhmat Grozny W 1-063.2 1782 1851 30.78% 29.46% 39.77%-0.19 +8.7 12
2017-09-30 @ Tosno L 0-163.2 1851 1782 39.77% 29.46% 30.78%+0.19 -8.7 17
2017-09-30 Amkar Perm L 0-164.8 1830 1789 45.96% 28.70% 25.35%+0.46 -9.7 14
2017-09-30 @ Rubin Kazan W 1-064.8 1789 1830 25.35% 28.70% 45.96%-0.46 +9.7 14
2017-09-30 Rostov W 2-172.5 1739 1906 20.18% 27.09% 52.73%-0.78 +10.2 11
2017-09-30 @ SKA-Khabarovsk L 1-272.5 1906 1739 52.73% 27.09% 20.18%+0.78 -10.2 16
2017-09-30 Ural W 2-053.8 1884 1797 51.75% 27.38% 20.88%+0.73 +9.9 17
2017-09-30 @ Spartak Moscow L 0-253.8 1797 1884 20.88% 27.38% 51.75%-0.73 -9.9 16
2017-10-01 Dynamo Moscow W 3-052.9 1891 1821 49.61% 27.93% 22.45%+0.63 +15.3 26
2017-10-01 @ Lokomotiv Moscow L 0-352.9 1821 1891 22.45% 27.93% 49.61%-0.63 -15.3 10
2017-10-01 Ufa D 0-068.7 1957 1786 61.40% 23.83% 14.77%+1.23 -2.5 21
2017-10-01 @ CSKA Moscow D 0-068.7 1786 1957 14.77% 23.83% 61.40%-1.23 +2.4 14
2017-10-01 Zenit St. Petersburg D 2-281.0 1707 2024 11.01% 20.07% 68.92%-1.67 +2.0 9
2017-10-01 @ Anzhi Makhachkala D 2-281.0 2024 1707 68.92% 20.07% 11.01%+1.67 -2.0 28
2017-10-13 Spartak Moscow L 1-267.4 1842 1894 33.05% 29.58% 37.37%-0.09 -7.2 17
2017-10-13 @ Akhmat Grozny W 2-167.4 1894 1842 37.37% 29.58% 33.05%+0.09 +7.2 20
2017-10-14 Anzhi Makhachkala W 2-163.0 1787 1709 50.65% 27.67% 21.68%+0.68 +5.1 19
2017-10-14 @ Ural L 1-263.0 1709 1787 21.68% 27.67% 50.65%-0.68 -5.1 9
2017-10-14 CSKA Moscow L 0-162.4 1927 1954 36.50% 29.60% 33.90%+0.05 -8.1 21
2017-10-14 @ Krasnodar W 1-062.4 1954 1927 33.90% 29.60% 36.50%-0.05 +8.1 24
2017-10-14 SKA-Khabarovsk W 2-054.8 1806 1749 48.00% 28.30% 23.70%+0.56 +11.0 13
2017-10-14 @ Dynamo Moscow L 0-254.8 1749 1806 23.70% 28.30% 48.00%-0.56 -11.0 11
2017-10-15 Arsenal Tula L 0-169.3 2022 1773 69.34% 19.84% 10.82%+1.70 -13.3 28
2017-10-15 @ Zenit St. Petersburg W 1-069.3 1773 2022 10.82% 19.84% 69.34%-1.70 +13.3 17
2017-10-15 Lokomotiv Moscow W 1-065.0 1788 1906 24.93% 28.61% 46.46%-0.49 +9.8 17
2017-10-15 @ Ufa L 0-165.0 1906 1788 46.46% 28.61% 24.93%+0.49 -9.8 26
2017-10-15 Rubin Kazan L 0-165.9 1896 1821 50.32% 27.76% 21.92%+0.66 -10.4 16
2017-10-15 @ Rostov W 1-065.9 1821 1896 21.92% 27.76% 50.32%-0.66 +10.4 17
2017-10-16 Tosno D 0-066.9 1799 1791 41.40% 29.32% 29.28%+0.26 -0.6 15
2017-10-16 @ Amkar Perm D 0-066.9 1791 1799 29.28% 29.32% 41.40%-0.26 +0.6 13
2017-10-21 Amkar Perm D 0-067.8 1901 1798 53.68% 26.80% 19.52%+0.83 -1.7 21
2017-10-21 @ Spartak Moscow D 0-067.8 1798 1901 19.52% 26.80% 53.68%-0.83 +1.7 16
2017-10-21 Dynamo Moscow D 0-067.0 1831 1817 42.29% 29.22% 28.49%+0.30 -0.7 18
2017-10-21 @ Rubin Kazan D 0-067.0 1817 1831 28.49% 29.22% 42.29%-0.30 +0.7 14
2017-10-21 Rostov D 1-172.4 1792 1886 27.61% 29.10% 43.29%-0.34 +0.7 14
2017-10-21 @ Tosno D 1-172.4 1886 1792 43.29% 29.10% 27.61%+0.34 -0.7 17
2017-10-21 Ufa D 2-277.9 1738 1798 31.86% 29.53% 38.61%-0.14 +0.2 12
2017-10-21 @ SKA-Khabarovsk D 2-277.9 1798 1738 38.61% 29.53% 31.86%+0.14 -0.2 18
2017-10-22 Akhmat Grozny W 2-059.0 1792 1835 34.26% 29.61% 36.13%-0.04 +15.2 22
2017-10-22 @ Ural L 0-259.0 1835 1792 36.13% 29.61% 34.26%+0.04 -15.2 17
2017-10-22 Arsenal Tula W 3-274.2 1704 1787 29.00% 29.29% 41.72%-0.28 +8.0 12
2017-10-22 @ Anzhi Makhachkala L 2-374.2 1787 1704 41.72% 29.29% 29.00%+0.28 -8.0 17
2017-10-22 Zenit St. Petersburg D 0-067.0 1962 2009 33.73% 29.60% 36.67%-0.06 +0.1 25
2017-10-22 @ CSKA Moscow D 0-067.0 2009 1962 36.67% 29.60% 33.73%+0.06 -0.1 29
2017-10-23 Krasnodar W 2-058.3 1896 1919 37.18% 29.59% 33.24%+0.08 +14.4 29
2017-10-23 @ Lokomotiv Moscow L 0-258.3 1919 1896 33.24% 29.59% 37.18%-0.08 -14.4 21
2017-10-27 CSKA Moscow W 1-066.9 1779 1963 18.84% 26.47% 54.70%-0.88 +11.1 20
2017-10-27 @ Arsenal Tula L 0-166.9 1963 1779 54.70% 26.47% 18.84%+0.88 -11.1 25
2017-10-28 Spartak Moscow D 2-278.2 1885 1899 38.35% 29.54% 32.10%+0.13 -0.2 18
2017-10-28 @ Rostov D 2-278.2 1899 1885 32.10% 29.54% 38.35%-0.13 +0.2 22
2017-10-29 Lokomotiv Moscow L 0-361.8 2009 1911 53.12% 26.97% 19.91%+0.80 -29.7 29
2017-10-29 @ Zenit St. Petersburg W 3-061.8 1911 2009 19.91% 26.97% 53.12%-0.80 +29.7 32
2017-10-29 SKA-Khabarovsk W 4-154.1 1905 1738 60.94% 24.03% 15.02%+1.21 +8.7 24
2017-10-29 @ Krasnodar L 1-454.1 1738 1905 15.02% 24.03% 60.94%-1.21 -8.7 12
2017-10-29 Tosno L 0-164.3 1818 1792 43.82% 29.03% 27.15%+0.37 -9.3 14
2017-10-29 @ Dynamo Moscow W 1-064.3 1792 1818 27.15% 29.03% 43.82%-0.37 +9.3 17
2017-10-29 Ural D 1-172.2 1800 1807 39.27% 29.49% 31.24%+0.17 -0.3 17
2017-10-29 @ Amkar Perm D 1-172.2 1807 1800 31.24% 29.49% 39.27%-0.17 +0.3 23
2017-10-30 Anzhi Makhachkala D 1-172.9 1820 1712 54.27% 26.61% 19.12%+0.86 -1.6 18
2017-10-30 @ Akhmat Grozny D 1-172.9 1712 1820 19.12% 26.61% 54.27%-0.86 +1.6 13
2017-10-30 Rubin Kazan W 2-167.8 1798 1830 35.74% 29.61% 34.64%+0.02 +7.4 21
2017-10-30 @ Ufa L 1-267.8 1830 1798 34.64% 29.61% 35.74%-0.02 -7.4 18
2017-11-03 Dynamo Moscow D 2-278.1 1808 1808 40.27% 29.42% 30.31%+0.21 -0.3 24
2017-11-03 @ Ural D 2-278.1 1808 1808 30.31% 29.42% 40.27%-0.21 +0.3 15
2017-11-04 Krasnodar L 1-361.5 1802 1913 25.60% 28.75% 45.65%-0.45 -10.2 17
2017-11-04 @ Tosno W 3-161.5 1913 1802 45.65% 28.75% 25.60%+0.45 +10.2 27
2017-11-04 Rostov W 1-063.2 1818 1885 31.03% 29.48% 39.49%-0.18 +8.6 21
2017-11-04 @ Akhmat Grozny L 0-163.2 1885 1818 39.49% 29.48% 31.03%+0.18 -8.6 18
2017-11-05 Anzhi Makhachkala L 1-272.0 1799 1714 51.62% 27.41% 20.97%+0.73 -10.0 17
2017-11-05 @ Amkar Perm W 2-172.0 1714 1799 20.97% 27.41% 51.62%-0.73 +10.0 16
2017-11-05 Arsenal Tula L 1-266.7 1729 1790 31.86% 29.53% 38.62%-0.14 -7.0 12
2017-11-05 @ SKA-Khabarovsk W 2-166.7 1790 1729 38.62% 29.53% 31.86%+0.14 +7.0 23
2017-11-05 CSKA Moscow D 2-278.2 1941 1951 38.82% 29.52% 31.67%+0.15 -0.2 33
2017-11-05 @ Lokomotiv Moscow D 2-278.2 1951 1941 31.67% 29.52% 38.82%-0.15 +0.2 26
2017-11-05 Ufa W 3-159.4 1899 1805 52.62% 27.12% 20.26%+0.78 +8.3 25
2017-11-05 @ Spartak Moscow L 1-359.4 1805 1899 20.26% 27.12% 52.62%-0.78 -8.3 21
2017-11-05 Zenit St. Petersburg D 0-067.6 1823 1979 21.17% 27.49% 51.34%-0.71 +1.5 19
2017-11-05 @ Rubin Kazan D 0-067.6 1979 1823 51.34% 27.49% 21.17%+0.71 -1.5 30
2017-11-18 Akhmat Grozny D 1-172.2 1809 1827 37.78% 29.57% 32.66%+0.11 -0.2 16
2017-11-18 @ Dynamo Moscow D 1-172.2 1827 1809 32.66% 29.57% 37.78%-0.11 +0.2 22
2017-11-18 CSKA Moscow L 2-460.5 1722 1952 15.64% 24.50% 59.86%-1.15 -5.7 12
2017-11-18 @ SKA-Khabarovsk W 4-260.5 1952 1722 59.86% 24.50% 15.64%+1.15 +5.7 29
2017-11-18 Rubin Kazan D 0-066.9 1797 1825 36.40% 29.61% 34.00%+0.05 -0.1 24
2017-11-18 @ Arsenal Tula D 0-066.9 1825 1797 34.00% 29.61% 36.40%-0.05 +0.1 20
2017-11-18 Spartak Moscow L 1-464.0 1923 1908 42.53% 29.20% 28.28%+0.31 -21.0 27
2017-11-18 @ Krasnodar W 4-164.0 1908 1923 28.28% 29.20% 42.53%-0.31 +21.0 28
2017-11-19 Amkar Perm D 0-067.6 1876 1789 51.73% 27.38% 20.89%+0.73 -1.6 19
2017-11-19 @ Rostov D 0-067.6 1789 1876 20.89% 27.38% 51.73%-0.73 +1.6 18
2017-11-19 Lokomotiv Moscow L 0-154.9 1724 1940 16.46% 25.08% 58.46%-1.07 -4.2 16
2017-11-19 @ Anzhi Makhachkala W 1-054.9 1940 1724 58.46% 25.08% 16.46%+1.07 +4.2 36
2017-11-19 Tosno W 5-049.3 1978 1791 63.05% 23.07% 13.88%+1.32 +15.2 33
2017-11-19 @ Zenit St. Petersburg L 0-549.3 1791 1978 13.88% 23.07% 63.05%-1.32 -15.2 17
2017-11-19 Ural W 2-057.6 1797 1807 38.87% 29.51% 31.61%+0.15 +13.8 24
2017-11-19 @ Ufa L 0-257.6 1807 1797 31.61% 29.51% 38.87%-0.15 -13.8 24
2017-11-24 Dynamo Moscow W 2-167.1 1791 1808 37.90% 29.56% 32.54%+0.11 +7.1 21
2017-11-24 @ Amkar Perm L 1-267.1 1808 1791 32.54% 29.56% 37.90%-0.11 -7.1 16
2017-11-25 Arsenal Tula W 3-271.9 1776 1797 37.48% 29.58% 32.94%+0.10 +6.8 20
2017-11-25 @ Tosno L 2-371.9 1797 1776 32.94% 29.58% 37.48%-0.10 -6.8 24
2017-11-25 Ufa W 2-165.8 1827 1811 42.58% 29.19% 28.23%+0.31 +6.4 25
2017-11-25 @ Akhmat Grozny L 1-265.8 1811 1827 28.23% 29.19% 42.58%-0.31 -6.3 24
2017-11-26 Anzhi Makhachkala W 2-051.3 1875 1720 59.69% 24.57% 15.74%+1.14 +7.5 22
2017-11-26 @ Rostov L 0-251.3 1720 1875 15.74% 24.57% 59.69%-1.14 -7.5 16
2017-11-26 CSKA Moscow L 0-158.0 1825 1957 23.39% 28.22% 48.39%-0.57 -5.8 20
2017-11-26 @ Rubin Kazan W 1-058.0 1957 1825 48.39% 28.22% 23.39%+0.57 +5.8 32
2017-11-26 Krasnodar L 0-158.9 1794 1902 25.92% 28.81% 45.26%-0.43 -6.3 24
2017-11-26 @ Ural W 1-058.9 1902 1794 45.26% 28.81% 25.92%+0.43 +6.3 30
2017-11-27 Lokomotiv Moscow L 1-260.7 1717 1945 15.73% 24.57% 59.70%-1.14 -3.7 12
2017-11-27 @ SKA-Khabarovsk W 2-160.7 1945 1717 59.70% 24.57% 15.73%+1.14 +3.7 39
2017-11-27 Zenit St. Petersburg W 3-165.9 1929 1993 31.34% 29.50% 39.16%-0.17 +14.0 31
2017-11-27 @ Spartak Moscow L 1-365.9 1993 1929 39.16% 29.50% 31.34%+0.17 -14.0 33
2017-12-01 Spartak Moscow L 0-157.2 1790 1943 21.47% 27.60% 50.93%-0.69 -5.4 24
2017-12-01 @ Arsenal Tula W 1-057.2 1943 1790 50.93% 27.60% 21.47%+0.69 +5.4 34
2017-12-01 Tosno W 6-050.0 1963 1783 62.41% 23.37% 14.22%+1.29 +18.5 35
2017-12-01 @ CSKA Moscow L 0-650.0 1783 1963 14.22% 23.37% 62.41%-1.29 -18.5 20
2017-12-02 Rostov W 2-060.6 1801 1882 29.22% 29.31% 41.46%-0.26 +16.9 19
2017-12-02 @ Dynamo Moscow L 0-260.6 1882 1801 41.46% 29.31% 29.22%+0.26 -16.8 22
2017-12-02 Rubin Kazan W 1-055.5 1948 1819 56.79% 25.73% 17.48%+0.99 +4.4 42
2017-12-02 @ Lokomotiv Moscow L 0-155.5 1819 1948 17.48% 25.73% 56.79%-0.99 -4.4 20
2017-12-02 Ural W 2-159.6 1979 1787 63.60% 22.81% 13.59%+1.36 +3.2 36
2017-12-02 @ Zenit St. Petersburg L 1-259.6 1787 1979 13.59% 22.81% 63.60%-1.36 -3.2 24
2017-12-03 Akhmat Grozny W 3-268.2 1909 1833 50.31% 27.76% 21.93%+0.66 +4.9 33
2017-12-03 @ Krasnodar L 2-368.2 1833 1909 21.93% 27.76% 50.31%-0.66 -4.9 25
2017-12-03 Amkar Perm W 3-055.2 1805 1798 41.23% 29.33% 29.43%+0.25 +19.1 27
2017-12-03 @ Ufa L 0-355.2 1798 1805 29.43% 29.33% 41.23%-0.25 -19.1 21
2017-12-03 SKA-Khabarovsk W 4-054.8 1712 1713 40.22% 29.42% 30.35%+0.21 +25.5 19
2017-12-03 @ Anzhi Makhachkala L 0-454.8 1713 1712 30.35% 29.42% 40.22%-0.21 -25.5 12
2017-12-08 Arsenal Tula D 1-172.2 1784 1784 40.31% 29.42% 30.27%+0.21 -0.4 25
2017-12-08 @ Ural D 1-172.2 1784 1784 30.27% 29.42% 40.31%-0.21 +0.4 25
2017-12-09 Anzhi Makhachkala W 2-053.9 1818 1738 50.98% 27.59% 21.43%+0.70 +10.1 22
2017-12-09 @ Dynamo Moscow L 0-253.9 1738 1818 21.43% 27.59% 50.98%-0.70 -10.1 19
2017-12-09 SKA-Khabarovsk W 3-157.9 1814 1687 56.52% 25.82% 17.65%+0.97 +7.3 23
2017-12-09 @ Rubin Kazan L 1-357.9 1687 1814 17.65% 25.82% 56.52%-0.97 -7.3 12
2017-12-10 CSKA Moscow W 3-057.1 1948 1982 35.57% 29.62% 34.82%+0.02 +21.6 37
2017-12-10 @ Spartak Moscow L 0-357.1 1982 1948 34.82% 29.62% 35.57%-0.02 -21.6 35
2017-12-10 Krasnodar L 1-360.6 1779 1914 23.21% 28.16% 48.63%-0.58 -9.4 21
2017-12-10 @ Amkar Perm W 3-160.6 1914 1779 48.63% 28.16% 23.21%+0.58 +9.4 36
2017-12-10 Ufa W 1-058.7 1865 1824 45.99% 28.69% 25.32%+0.46 +6.2 25
2017-12-10 @ Rostov L 0-158.7 1824 1865 25.32% 28.69% 45.99%-0.46 -6.2 27
2017-12-11 Lokomotiv Moscow L 1-358.7 1764 1953 18.51% 26.30% 55.19%-0.90 -7.6 20
2017-12-11 @ Tosno W 3-158.7 1953 1764 55.19% 26.30% 18.51%+0.90 +7.6 45
2017-12-11 Zenit St. Petersburg D 0-067.6 1829 1982 21.41% 27.58% 51.01%-0.70 +1.5 26
2017-12-11 @ Akhmat Grozny D 0-067.6 1982 1829 51.01% 27.58% 21.41%+0.70 -1.5 37
2018-03-02 Rubin Kazan D 1-172.2 1727 1822 27.58% 29.10% 43.32%-0.34 +0.7 20
2018-03-02 @ Anzhi Makhachkala D 1-172.2 1822 1727 43.32% 29.10% 27.58%+0.34 -0.7 24
2018-03-03 Amkar Perm D 0-069.3 1981 1770 65.59% 21.82% 12.58%+1.47 -2.8 38
2018-03-03 @ Zenit St. Petersburg D 0-069.3 1770 1981 12.58% 21.82% 65.59%-1.47 +2.8 22
2018-03-03 Rostov W 3-161.1 1923 1871 47.29% 28.45% 24.26%+0.52 +9.7 39
2018-03-03 @ Krasnodar L 1-361.1 1871 1923 24.26% 28.45% 47.29%-0.52 -9.7 25
2018-03-03 Ural W 1-053.9 1960 1784 62.01% 23.56% 14.44%+1.27 +3.6 38
2018-03-03 @ CSKA Moscow L 0-153.9 1784 1960 14.44% 23.56% 62.01%-1.27 -3.6 25
2018-03-04 Akhmat Grozny W 1-062.2 1785 1830 33.93% 29.60% 36.47%-0.05 +8.1 28
2018-03-04 @ Arsenal Tula L 0-162.2 1830 1785 36.47% 29.60% 33.93%+0.05 -8.1 26
2018-03-04 Dynamo Moscow D 1-172.3 1817 1828 38.81% 29.52% 31.67%+0.15 -0.3 28
2018-03-04 @ Ufa D 1-172.3 1828 1817 31.67% 29.52% 38.81%-0.15 +0.3 23
2018-03-04 Spartak Moscow D 0-067.1 1960 1970 39.03% 29.50% 31.46%+0.16 -0.4 46
2018-03-04 @ Lokomotiv Moscow D 0-067.1 1970 1960 31.46% 29.50% 39.03%-0.16 +0.4 38
2018-03-04 Tosno L 0-159.6 1680 1757 29.73% 29.37% 40.90%-0.24 -7.0 12
2018-03-04 @ SKA-Khabarovsk W 1-059.6 1757 1680 40.90% 29.37% 29.73%+0.24 +7.0 23
2018-03-09 Arsenal Tula L 0-259.3 1772 1793 37.46% 29.58% 32.97%+0.09 -15.6 22
2018-03-09 @ Amkar Perm W 2-059.3 1793 1772 32.97% 29.58% 37.46%-0.09 +15.6 31
2018-03-10 Anzhi Makhachkala W 3-267.5 1817 1728 52.00% 27.30% 20.69%+0.75 +4.6 31
2018-03-10 @ Ufa L 2-367.5 1728 1817 20.69% 27.30% 52.00%-0.75 -4.6 20
2018-03-10 Krasnodar D 0-067.2 1829 1933 26.44% 28.91% 44.65%-0.40 +0.9 24
2018-03-10 @ Dynamo Moscow D 0-067.2 1933 1829 44.65% 28.91% 26.44%+0.40 -0.9 40
2018-03-10 Rubin Kazan L 0-160.9 1764 1821 32.27% 29.55% 38.18%-0.12 -7.4 23
2018-03-10 @ Tosno W 1-060.9 1821 1764 38.18% 29.55% 32.27%+0.12 +7.5 27
2018-03-11 CSKA Moscow L 0-352.9 1822 1964 22.50% 27.95% 49.56%-0.63 -15.3 26
2018-03-11 @ Akhmat Grozny W 3-052.9 1964 1822 49.56% 27.95% 22.50%+0.63 +15.3 41
2018-03-11 SKA-Khabarovsk W 1-050.3 1970 1673 73.70% 17.36% 8.93%+1.98 +2.0 41
2018-03-11 @ Spartak Moscow L 0-150.3 1673 1970 8.93% 17.36% 73.70%-1.98 -2.0 12
2018-03-11 Zenit St. Petersburg D 0-067.3 1862 1978 25.12% 28.65% 46.24%-0.48 +1.0 26
2018-03-11 @ Rostov D 0-067.3 1978 1862 46.24% 28.65% 25.12%+0.48 -1.0 39
2018-03-12 Lokomotiv Moscow L 0-253.1 1780 1960 19.17% 26.63% 54.19%-0.85 -9.1 25
2018-03-12 @ Ural W 2-053.1 1960 1780 54.19% 26.63% 19.17%+0.85 +9.1 49
2018-03-17 Rostov D 2-278.1 1809 1863 32.70% 29.57% 37.73%-0.11 +0.2 32
2018-03-17 @ Arsenal Tula D 2-278.1 1863 1809 37.73% 29.57% 32.70%+0.11 -0.2 27
2018-03-17 Spartak Moscow L 1-263.7 1829 1972 22.35% 27.90% 49.75%-0.64 -5.2 27
2018-03-17 @ Rubin Kazan W 2-163.7 1972 1829 49.75% 27.90% 22.35%+0.64 +5.2 44
2018-03-17 Tosno W 2-058.2 1723 1756 35.68% 29.62% 34.70%+0.02 +14.8 23
2018-03-17 @ Anzhi Makhachkala L 0-258.2 1756 1723 34.70% 29.62% 35.68%-0.02 -14.8 23
2018-03-17 Ufa L 0-166.9 1932 1822 54.55% 26.51% 18.93%+0.87 -11.1 40
2018-03-17 @ Krasnodar W 1-066.9 1822 1932 18.93% 26.51% 54.55%-0.87 +11.1 34
2018-03-17 Ural L 0-353.9 1671 1771 26.92% 29.00% 44.08%-0.38 -17.8 12
2018-03-17 @ SKA-Khabarovsk W 3-053.9 1771 1671 44.08% 29.00% 26.92%+0.38 +17.8 28
2018-03-31 Arsenal Tula W 2-165.6 1829 1809 43.19% 29.12% 27.69%+0.34 +6.3 27
2018-03-31 @ Dynamo Moscow L 1-265.6 1809 1829 27.69% 29.12% 43.19%-0.34 -6.3 32
2018-03-31 Lokomotiv Moscow W 2-173.6 1757 1969 16.77% 25.28% 57.95%-1.05 +11.0 25
2018-03-31 @ Amkar Perm L 1-273.6 1969 1757 57.95% 25.28% 16.77%+1.05 -11.0 49
2018-03-31 SKA-Khabarovsk D 0-067.9 1807 1653 59.48% 24.66% 15.86%+1.13 -2.3 27
2018-03-31 @ Akhmat Grozny D 0-067.9 1653 1807 15.86% 24.66% 59.48%-1.13 +2.3 13
2018-03-31 Tosno W 2-158.2 1977 1742 68.05% 20.54% 11.41%+1.62 +2.6 47
2018-03-31 @ Spartak Moscow L 1-258.2 1742 1977 11.41% 20.54% 68.05%-1.62 -2.6 23
2018-04-01 Anzhi Makhachkala D 1-174.1 1921 1738 62.65% 23.26% 14.10%+1.30 -2.3 41
2018-04-01 @ Krasnodar D 1-174.1 1738 1921 14.10% 23.26% 62.65%-1.30 +2.3 24
2018-04-01 CSKA Moscow L 1-264.8 1863 1979 25.07% 28.64% 46.29%-0.48 -5.8 27
2018-04-01 @ Rostov W 2-164.8 1979 1863 46.29% 28.64% 25.07%+0.48 +5.8 44
2018-04-01 Rubin Kazan D 1-172.2 1789 1823 35.46% 29.62% 34.92%+0.01 -0.0 29
2018-04-01 @ Ural D 1-172.2 1823 1789 34.92% 29.62% 35.46%-0.01 +0.0 28
2018-04-01 Zenit St. Petersburg L 1-263.7 1833 1977 22.30% 27.88% 49.81%-0.64 -5.2 34
2018-04-01 @ Ufa W 2-163.7 1977 1833 49.81% 27.88% 22.30%+0.64 +5.2 42
2018-04-07 Akhmat Grozny W 3-270.3 1823 1804 42.96% 29.15% 27.90%+0.33 +6.0 31
2018-04-07 @ Rubin Kazan L 2-370.3 1804 1823 27.90% 29.15% 42.96%-0.33 -6.0 27
2018-04-07 Amkar Perm L 0-254.9 1656 1768 25.55% 28.74% 45.71%-0.45 -11.7 13
2018-04-07 @ SKA-Khabarovsk W 2-054.9 1768 1656 45.71% 28.74% 25.55%+0.45 +11.7 28
2018-04-07 Krasnodar L 1-271.8 1982 1918 48.83% 28.12% 23.06%+0.59 -9.6 42
2018-04-07 @ Zenit St. Petersburg W 2-171.8 1918 1982 23.06% 28.12% 48.83%-0.59 +9.6 44
2018-04-07 Ufa W 2-167.5 1802 1828 36.80% 29.60% 33.60%+0.07 +7.2 35
2018-04-07 @ Arsenal Tula L 1-267.5 1828 1802 33.60% 29.60% 36.80%-0.07 -7.2 34
2018-04-08 Rostov W 1-056.5 1958 1857 53.50% 26.86% 19.65%+0.82 +5.0 52
2018-04-08 @ Lokomotiv Moscow L 0-156.5 1857 1958 19.65% 26.86% 53.50%-0.82 -4.9 27
2018-04-08 Spartak Moscow L 1-454.2 1741 1980 15.02% 24.03% 60.94%-1.21 -8.7 24
2018-04-08 @ Anzhi Makhachkala W 4-154.2 1980 1741 60.94% 24.03% 15.02%+1.21 +8.7 50
2018-04-08 Ural D 2-277.9 1739 1789 33.29% 29.59% 37.12%-0.08 +0.1 24
2018-04-08 @ Tosno D 2-277.9 1789 1739 37.12% 29.59% 33.29%+0.08 -0.1 30
2018-04-09 Dynamo Moscow L 1-273.8 1985 1836 59.03% 24.85% 16.12%+1.10 -11.1 44
2018-04-09 @ CSKA Moscow W 2-173.8 1836 1985 16.12% 24.85% 59.03%-1.10 +11.1 30
2018-04-13 Tosno W 1-057.8 1798 1739 48.28% 28.24% 23.48%+0.57 +5.8 30
2018-04-13 @ Akhmat Grozny L 0-157.8 1739 1798 23.48% 28.24% 48.28%-0.57 -5.8 24
2018-04-14 Anzhi Makhachkala W 1-051.9 1972 1732 68.52% 20.29% 11.19%+1.65 +2.7 45
2018-04-14 @ Zenit St. Petersburg L 0-151.9 1732 1972 11.19% 20.29% 68.52%-1.65 -2.7 24
2018-04-14 Arsenal Tula W 3-051.1 1928 1810 55.52% 26.19% 18.30%+0.92 +12.7 47
2018-04-14 @ Krasnodar L 0-351.1 1810 1928 18.30% 26.19% 55.52%-0.92 -12.6 35
2018-04-14 Lokomotiv Moscow L 0-453.8 1847 1963 25.12% 28.65% 46.23%-0.47 -22.0 30
2018-04-14 @ Dynamo Moscow W 4-053.8 1963 1847 46.23% 28.65% 25.12%+0.47 +22.0 55
2018-04-14 Rubin Kazan L 0-356.5 1780 1829 33.30% 29.59% 37.11%-0.08 -20.9 28
2018-04-14 @ Amkar Perm W 3-056.5 1829 1780 37.11% 29.59% 33.30%+0.08 +20.9 34
2018-04-15 CSKA Moscow D 1-172.9 1820 1974 21.42% 27.58% 51.00%-0.70 +1.3 35
2018-04-15 @ Ufa D 1-172.9 1974 1820 51.00% 27.58% 21.42%+0.70 -1.3 45
2018-04-15 SKA-Khabarovsk W 2-049.4 1852 1644 65.29% 21.98% 12.74%+1.45 +5.9 30
2018-04-15 @ Rostov L 0-249.4 1644 1852 12.74% 21.98% 65.29%-1.45 -5.9 13
2018-04-15 Spartak Moscow W 2-173.4 1789 1989 17.64% 25.82% 56.54%-0.97 +10.8 33
2018-04-15 @ Ural L 1-273.4 1989 1789 56.54% 25.82% 17.64%+0.97 -10.8 50
2018-04-18 Akhmat Grozny D 0-068.9 1985 1804 62.47% 23.34% 14.19%+1.29 -2.5 56
2018-04-18 @ Lokomotiv Moscow D 0-068.9 1804 1985 14.19% 23.34% 62.47%-1.29 +2.5 31
2018-04-18 Amkar Perm W 3-048.0 1972 1759 65.88% 21.68% 12.44%+1.49 +8.3 48
2018-04-18 @ CSKA Moscow L 0-348.0 1759 1972 12.44% 21.68% 65.88%-1.49 -8.3 28
2018-04-18 Dynamo Moscow W 2-160.9 1975 1825 59.15% 24.80% 16.05%+1.11 +3.8 48
2018-04-18 @ Zenit St. Petersburg L 1-260.9 1825 1975 16.05% 24.80% 59.15%-1.11 -3.8 30
2018-04-21 Rostov D 1-172.3 1850 1858 39.29% 29.49% 31.23%+0.17 -0.3 35
2018-04-21 @ Rubin Kazan D 1-172.3 1858 1850 31.23% 29.49% 39.29%-0.17 +0.3 31
2018-04-21 Ural L 0-160.2 1729 1799 30.56% 29.44% 40.01%-0.20 -7.2 24
2018-04-21 @ Anzhi Makhachkala W 1-060.2 1799 1729 40.01% 29.44% 30.56%+0.20 +7.2 36
2018-04-22 Amkar Perm L 0-259.2 1733 1750 37.95% 29.56% 32.49%+0.11 -15.8 24
2018-04-22 @ Tosno W 2-059.2 1750 1733 32.49% 29.56% 37.95%-0.11 +15.8 31
2018-04-22 Dynamo Moscow L 0-155.6 1638 1821 18.91% 26.50% 54.59%-0.87 -4.8 13
2018-04-22 @ SKA-Khabarovsk W 1-055.6 1821 1638 54.59% 26.50% 18.91%+0.87 +4.8 33
2018-04-22 Krasnodar W 2-165.0 1981 1941 45.78% 28.73% 25.49%+0.45 +5.9 51
2018-04-22 @ CSKA Moscow L 1-265.0 1941 1981 25.49% 28.73% 45.78%-0.45 -5.9 47
2018-04-22 Ufa D 0-068.6 1982 1822 60.31% 24.31% 15.38%+1.17 -2.4 57
2018-04-22 @ Lokomotiv Moscow D 0-068.6 1822 1982 15.38% 24.31% 60.31%-1.17 +2.3 36
2018-04-22 Zenit St. Petersburg D 3-382.3 1797 1979 19.01% 26.55% 54.44%-0.87 +1.0 36
2018-04-22 @ Arsenal Tula D 3-382.3 1979 1797 54.44% 26.55% 19.01%+0.87 -1.0 49
2018-04-23 Akhmat Grozny L 1-370.8 1978 1807 61.43% 23.82% 14.76%+1.23 -19.9 50
2018-04-23 @ Spartak Moscow W 3-170.8 1807 1978 14.76% 23.82% 61.43%-1.23 +19.9 34
2018-04-28 Anzhi Makhachkala W 2-163.2 1798 1722 50.40% 27.74% 21.86%+0.67 +5.1 39
2018-04-28 @ Arsenal Tula L 1-263.2 1722 1798 21.86% 27.74% 50.40%-0.67 -5.1 24
2018-04-29 CSKA Moscow D 0-067.1 1978 1987 39.12% 29.50% 31.38%+0.16 -0.4 50
2018-04-29 @ Zenit St. Petersburg D 0-067.1 1987 1978 31.38% 29.50% 39.12%-0.16 +0.4 52
2018-04-29 Spartak Moscow L 0-252.7 1766 1958 18.24% 26.15% 55.61%-0.92 -8.7 31
2018-04-29 @ Amkar Perm W 2-052.7 1958 1766 55.61% 26.15% 18.24%+0.92 +8.7 53
2018-04-29 Tosno W 2-051.8 1858 1718 58.06% 25.24% 16.70%+1.05 +7.9 34
2018-04-29 @ Rostov L 0-251.8 1718 1858 16.70% 25.24% 58.06%-1.05 -7.9 24
2018-04-30 Lokomotiv Moscow W 2-059.3 1935 1980 33.93% 29.60% 36.47%-0.05 +15.3 50
2018-04-30 @ Krasnodar L 0-259.3 1980 1935 36.47% 29.60% 33.93%+0.05 -15.3 57
2018-04-30 Rubin Kazan D 0-066.9 1826 1850 36.96% 29.59% 33.44%+0.07 -0.2 34
2018-04-30 @ Dynamo Moscow D 0-066.9 1850 1826 33.44% 29.59% 36.96%-0.07 +0.2 36
2018-04-30 SKA-Khabarovsk W 1-052.9 1824 1633 63.52% 22.84% 13.63%+1.35 +3.4 39
2018-04-30 @ Ufa L 0-152.9 1633 1824 13.63% 22.84% 63.52%-1.35 -3.4 13
2018-04-30 Ural D 0-067.0 1827 1807 43.09% 29.13% 27.78%+0.33 -0.7 35
2018-04-30 @ Akhmat Grozny D 0-067.0 1807 1827 27.78% 29.13% 43.09%-0.33 +0.7 37
2018-05-05 Dynamo Moscow L 1-264.5 1710 1826 25.12% 28.65% 46.23%-0.47 -5.8 24
2018-05-05 @ Tosno W 2-164.5 1826 1710 46.23% 28.65% 25.12%+0.47 +5.8 37
2018-05-05 Krasnodar L 0-151.6 1630 1950 10.88% 19.91% 69.21%-1.69 -2.6 13
2018-05-05 @ SKA-Khabarovsk W 1-051.6 1950 1630 69.21% 19.91% 10.88%+1.69 +2.6 53
2018-05-05 Rostov W 2-053.4 1967 1866 53.41% 26.88% 19.71%+0.81 +9.4 56
2018-05-05 @ Spartak Moscow L 0-253.4 1866 1967 19.71% 26.88% 53.41%-0.81 -9.3 34
2018-05-05 Zenit St. Petersburg W 1-061.0 1965 1978 38.54% 29.53% 31.93%+0.14 +7.4 60
2018-05-05 @ Lokomotiv Moscow L 0-161.0 1978 1965 31.93% 29.53% 38.54%-0.14 -7.4 50
2018-05-06 Amkar Perm L 0-261.8 1807 1757 47.07% 28.49% 24.44%+0.51 -18.6 37
2018-05-06 @ Ural W 2-061.8 1757 1807 24.44% 28.49% 47.07%-0.51 +18.6 34
2018-05-06 Arsenal Tula W 6-050.0 1987 1803 62.78% 23.20% 14.02%+1.31 +18.3 55
2018-05-06 @ CSKA Moscow L 0-650.0 1803 1987 14.02% 23.20% 62.78%-1.31 -18.3 39
2018-05-07 Akhmat Grozny L 0-255.5 1717 1826 25.91% 28.81% 45.28%-0.43 -11.9 24
2018-05-07 @ Anzhi Makhachkala W 2-055.5 1826 1717 45.28% 28.81% 25.91%+0.43 +11.9 38
2018-05-07 Ufa D 0-067.1 1850 1827 43.44% 29.08% 27.47%+0.35 -0.8 37
2018-05-07 @ Rubin Kazan D 0-067.1 1827 1850 27.47% 29.08% 43.44%-0.35 +0.8 40
2018-05-13 Akhmat Grozny D 0-066.9 1776 1838 31.68% 29.52% 38.80%-0.15 +0.3 35
2018-05-13 @ Amkar Perm D 0-066.9 1838 1776 38.80% 29.52% 31.68%+0.15 -0.3 39
2018-05-13 Anzhi Makhachkala W 2-156.4 2005 1705 74.00% 17.19% 8.81%+2.00 +1.9 58
2018-05-13 @ CSKA Moscow L 1-256.4 1705 2005 8.81% 17.19% 74.00%-2.00 -1.9 24
2018-05-13 Dynamo Moscow L 0-167.6 1976 1831 58.50% 25.06% 16.44%+1.08 -11.7 56
2018-05-13 @ Spartak Moscow W 1-067.6 1831 1976 16.44% 25.06% 58.50%-1.08 +11.7 40
2018-05-13 Lokomotiv Moscow W 2-063.8 1785 1972 18.59% 26.34% 55.07%-0.90 +21.1 42
2018-05-13 @ Arsenal Tula L 0-263.8 1972 1785 55.07% 26.34% 18.59%+0.90 -21.1 60
2018-05-13 Rubin Kazan D 1-173.2 1953 1849 53.77% 26.77% 19.46%+0.83 -1.6 54
2018-05-13 @ Krasnodar D 1-173.2 1849 1953 19.46% 26.77% 53.77%-0.83 +1.6 38
2018-05-13 SKA-Khabarovsk W 6-045.3 1970 1627 77.55% 15.06% 7.39%+2.26 +8.4 53
2018-05-13 @ Zenit St. Petersburg L 0-645.3 1627 1970 7.39% 15.06% 77.55%-2.26 -8.4 13
2018-05-13 Tosno W 5-051.0 1828 1704 56.22% 25.94% 17.85%+0.96 +19.8 43
2018-05-13 @ Ufa L 0-551.0 1704 1828 17.85% 25.94% 56.22%-0.96 -19.9 24
2018-05-13 Ural W 1-057.6 1857 1789 49.38% 27.99% 22.63%+0.62 +5.6 37
2018-05-13 @ Rostov L 0-157.6 1789 1857 22.63% 27.99% 49.38%-0.62 -5.6 37

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
2018-05-17 Anzhi Makhachkala W 3-051.9 1789 1703 51.62% 27.41% 20.97%+0.73 +14.4 1-0
2018-05-17 @ Yenisey Krasnoyarsk L 0-351.9 1703 1789 20.97% 27.41% 51.62%-0.73 -14.4 0-1
2018-05-17 Tambov W 2-056.1 1776 1754 43.45% 29.08% 27.47%+0.35 +12.5 1-0
2018-05-17 @ Amkar Perm L 0-256.1 1754 1776 27.47% 29.08% 43.45%-0.35 -12.4 0-1
2018-05-20 Amkar Perm L 0-161.2 1741 1789 33.61% 29.60% 36.79%-0.07 -7.7 0-2
2018-05-20 @ Tambov W 1-061.2 1789 1741 36.79% 29.60% 33.61%+0.07 +7.7 2-0
2018-05-20 Yenisey Krasnoyarsk W 4-377.4 1689 1803 25.28% 28.68% 46.04%-0.47 +8.5 1-1
2018-05-20 @ Anzhi Makhachkala L 3-477.4 1803 1689 46.04% 28.68% 25.28%+0.47 -8.5 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 2017-10-15 10.82% Arsenal Tula 1773 1 @ Zenit St. Petersburg 2022 0
2 2018-04-23 14.76% Akhmat Grozny 1807 3 @ Spartak Moscow 1978 1
3 2018-04-09 16.12% Dynamo Moscow 1836 2 @ CSKA Moscow 1985 1
4 2017-08-06 16.43% Rubin Kazan 1809 2 @ CSKA Moscow 1954 1
5 2018-05-13 16.44% Dynamo Moscow 1831 1 @ Spartak Moscow 1976 0
6 2018-03-31 16.77% @ Amkar Perm 1757 2 Lokomotiv Moscow 1969 1
7 2017-09-18 17.14% Amkar Perm 1759 1 @ Lokomotiv Moscow 1893 0
8 2018-04-15 17.64% @ Ural 1789 2 Spartak Moscow 1989 1
9 2017-08-13 18.06% Tosno 1781 2 @ Lokomotiv Moscow 1902 0
10 2017-08-27 18.27% Akhmat Grozny 1833 1 @ CSKA Moscow 1952 0
11 2018-05-13 18.59% @ Arsenal Tula 1785 2 Lokomotiv Moscow 1972 0
12 2017-10-27 18.84% @ Arsenal Tula 1779 1 CSKA Moscow 1963 0
13 2018-03-17 18.93% Ufa 1822 1 @ Krasnodar 1932 0
14 2017-09-29 19.50% @ Arsenal Tula 1762 1 Krasnodar 1938 0
15 2017-10-29 19.91% Lokomotiv Moscow 1911 3 @ Zenit St. Petersburg 2009 0
16 2017-09-30 20.18% @ SKA-Khabarovsk 1739 2 Rostov 1906 1
17 2017-07-21 20.74% Lokomotiv Moscow 1877 3 @ CSKA Moscow 1965 1
18 2017-11-05 20.97% Anzhi Makhachkala 1714 2 @ Amkar Perm 1799 1
19 2017-08-21 21.05% Arsenal Tula 1758 2 @ Akhmat Grozny 1843 1
20 2017-10-15 21.92% Rubin Kazan 1821 1 @ Rostov 1896 0
21 2017-07-23 22.12% Ural 1764 1 @ Dynamo Moscow 1837 0
22 2017-09-17 22.15% Ural 1775 1 @ Rubin Kazan 1848 0
23 2018-04-07 23.06% Krasnodar 1918 2 @ Zenit St. Petersburg 1982 1
24 2017-07-23 23.87% Akhmat Grozny 1851 1 @ Rostov 1907 0
25 2018-05-06 24.44% Amkar Perm 1757 2 @ Ural 1807 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 2017-10-29 29.72 Lokomotiv Moscow 3 1911 19.91% @ Zenit St. Petersburg 0 2009 53.12% 26.97%
2 2017-08-19 27.50 @ Rubin Kazan 6 1821 51.63% Anzhi Makhachkala 0 1735 20.96% 27.41%
3 2017-12-03 25.49 @ Anzhi Makhachkala 4 1712 40.22% SKA-Khabarovsk 0 1713 30.35% 29.42%
4 2018-04-14 21.97 Lokomotiv Moscow 4 1963 46.23% @ Dynamo Moscow 0 1847 25.12% 28.65%
5 2017-12-10 21.56 @ Spartak Moscow 3 1948 35.57% CSKA Moscow 0 1982 34.82% 29.62%
6 2017-08-13 21.32 Tosno 2 1781 18.06% @ Lokomotiv Moscow 0 1902 55.88% 26.06%
7 2018-05-13 21.07 @ Arsenal Tula 2 1785 18.59% Lokomotiv Moscow 0 1972 55.07% 26.34%
8 2017-11-18 21.04 Spartak Moscow 4 1908 28.28% @ Krasnodar 1 1923 42.53% 29.20%
9 2018-04-14 20.88 Rubin Kazan 3 1829 37.11% @ Amkar Perm 0 1780 33.30% 29.59%
10 2018-04-23 19.88 Akhmat Grozny 3 1807 14.76% @ Spartak Moscow 1 1978 61.43% 23.82%
11 2018-05-13 19.86 @ Ufa 5 1828 56.22% Tosno 0 1704 17.85% 25.94%
12 2017-12-03 19.06 @ Ufa 3 1805 41.23% Amkar Perm 0 1798 29.43% 29.33%
13 2017-09-25 18.66 @ Amkar Perm 3 1770 42.14% SKA-Khabarovsk 0 1757 28.62% 29.24%
14 2018-05-06 18.59 Amkar Perm 2 1757 24.44% @ Ural 0 1807 47.07% 28.49%
15 2017-12-01 18.55 @ CSKA Moscow 6 1963 62.41% Tosno 0 1783 14.22% 23.37%
16 2018-05-06 18.26 @ CSKA Moscow 6 1987 62.78% Arsenal Tula 0 1803 14.02% 23.20%
17 2018-03-17 17.79 Ural 3 1771 44.08% @ SKA-Khabarovsk 0 1671 26.92% 29.00%
18 2017-07-21 17.41 Lokomotiv Moscow 3 1877 20.74% @ CSKA Moscow 1 1965 51.94% 27.32%
19 2017-08-05 16.90 @ Dynamo Moscow 3 1815 46.04% Amkar Perm 0 1773 25.28% 28.68%
20 2017-12-02 16.86 @ Dynamo Moscow 2 1801 29.22% Rostov 0 1882 41.46% 29.31%
21 2017-08-06 16.70 @ Zenit St. Petersburg 5 1971 49.51% Spartak Moscow 1 1902 22.53% 27.96%
22 2017-08-13 15.96 @ Zenit St. Petersburg 4 1986 56.49% Akhmat Grozny 0 1859 17.67% 25.83%
23 2018-04-22 15.78 Amkar Perm 2 1750 32.49% @ Tosno 0 1733 37.95% 29.56%
24 2018-03-09 15.63 Arsenal Tula 2 1793 32.97% @ Amkar Perm 0 1772 37.46% 29.58%
25 2017-07-31 15.57 @ Spartak Moscow 2 1886 33.18% Krasnodar 0 1937 37.23% 29.59%

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 2018-04-22 82.3 @ Arsenal Tula 3 1797 19.01% Zenit St. Petersburg 3 1979 54.44% 26.55%
2 2017-10-01 81.0 @ Anzhi Makhachkala 2 1707 11.01% Zenit St. Petersburg 2 2024 68.92% 20.07%
3 2017-09-23 79.9 @ Spartak Moscow 2 1886 62.40% Anzhi Makhachkala 2 1705 14.23% 23.37%
4 2017-09-09 79.8 @ Rostov 2 1930 61.43% Arsenal Tula 2 1759 14.75% 23.82%
5 2017-09-09 78.4 @ Tosno 2 1795 50.69% Anzhi Makhachkala 2 1716 21.65% 27.66%
6 2017-09-17 78.2 @ Tosno 2 1794 27.83% Spartak Moscow 2 1886 43.04% 29.14%
7 2017-10-28 78.2 @ Rostov 2 1885 38.35% Spartak Moscow 2 1899 32.10% 29.54%
8 2017-11-05 78.2 @ Lokomotiv Moscow 2 1941 38.82% CSKA Moscow 2 1951 31.67% 29.52%
9 2017-07-18 78.1 @ Dynamo Moscow 2 1837 33.22% Spartak Moscow 2 1887 37.19% 29.59%
10 2017-09-17 78.1 @ SKA-Khabarovsk 2 1757 28.39% Akhmat Grozny 2 1844 42.39% 29.21%
11 2017-11-03 78.1 @ Ural 2 1808 40.27% Dynamo Moscow 2 1808 30.31% 29.42%
12 2018-03-17 78.1 @ Arsenal Tula 2 1809 32.70% Rostov 2 1863 37.73% 29.57%
13 2017-08-14 77.9 @ Arsenal Tula 2 1758 37.55% Ural 2 1778 32.87% 29.57%
14 2017-10-21 77.9 @ SKA-Khabarovsk 2 1738 31.86% Ufa 2 1798 38.61% 29.53%
15 2018-04-08 77.9 @ Tosno 2 1739 33.29% Ural 2 1789 37.12% 29.59%
16 2018-05-20 * 77.4 @ Anzhi Makhachkala 4 1689 25.28% Yenisey Krasnoyarsk 3 1803 46.04% 28.68%
17 2017-08-19 76.6 Lokomotiv Moscow 4 1881 29.28% @ Spartak Moscow 3 1888 41.40% 29.32%
18 2017-10-22 74.2 @ Anzhi Makhachkala 3 1704 29.00% Arsenal Tula 2 1787 41.72% 29.29%
19 2018-04-01 74.1 @ Krasnodar 1 1921 62.65% Anzhi Makhachkala 1 1738 14.10% 23.26%
20 2017-08-13 74.0 @ Krasnodar 1 1926 61.32% Amkar Perm 1 1756 14.81% 23.86%
21 2017-08-05 73.9 @ Ufa 3 1809 31.34% Akhmat Grozny 2 1873 39.16% 29.50%
22 2018-04-09 73.8 Dynamo Moscow 2 1836 16.12% @ CSKA Moscow 1 1985 59.03% 24.85%
23 2017-08-06 73.7 Rubin Kazan 2 1809 16.43% @ CSKA Moscow 1 1954 58.52% 25.06%
24 2017-08-06 73.7 @ Krasnodar 1 1921 58.83% Ural 1 1774 16.24% 24.93%
25 2017-08-09 73.6 @ Ural 1 1776 16.81% Zenit St. Petersburg 1 1988 57.88% 25.31%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2018-05-13 45.3 @ Zenit St. Petersburg 6 1970 77.55% SKA-Khabarovsk 0 1627 7.39% 15.06%
2 2017-09-18 48.0 @ Zenit St. Petersburg 3 2002 65.98% Ufa 0 1787 12.39% 21.62%
3 2018-04-18 48.0 @ CSKA Moscow 3 1972 65.88% Amkar Perm 0 1759 12.44% 21.68%
4 2017-11-19 49.3 @ Zenit St. Petersburg 5 1978 63.05% Tosno 0 1791 13.88% 23.07%
5 2018-04-15 49.4 @ Rostov 2 1852 65.29% SKA-Khabarovsk 0 1644 12.74% 21.98%
6 2017-12-01 50.0 @ CSKA Moscow 6 1963 62.41% Tosno 0 1783 14.22% 23.37%
7 2018-05-06 50.0 @ CSKA Moscow 6 1987 62.78% Arsenal Tula 0 1803 14.02% 23.20%
8 2017-07-29 50.1 @ CSKA Moscow 2 1948 64.31% SKA-Khabarovsk 0 1749 13.23% 22.46%
9 2018-03-11 50.3 @ Spartak Moscow 1 1970 73.70% SKA-Khabarovsk 0 1673 8.93% 17.36%
10 2017-08-13 50.7 @ Zenit St. Petersburg 4 1986 56.49% Akhmat Grozny 0 1859 17.67% 25.83%
11 2018-05-13 51.0 @ Ufa 5 1828 56.22% Tosno 0 1704 17.85% 25.94%
12 2018-04-14 51.1 @ Krasnodar 3 1928 55.52% Arsenal Tula 0 1810 18.30% 26.19%
13 2017-11-26 51.3 @ Rostov 2 1875 59.69% Anzhi Makhachkala 0 1720 15.74% 24.57%
14 2018-05-05 51.6 Krasnodar 1 1950 69.21% @ SKA-Khabarovsk 0 1630 10.88% 19.91%
15 2018-04-29 51.8 @ Rostov 2 1858 58.06% Tosno 0 1718 16.70% 25.24%
16 2018-04-14 51.9 @ Zenit St. Petersburg 1 1972 68.52% Anzhi Makhachkala 0 1732 11.19% 20.29%
17 2018-05-17 * 51.9 @ Yenisey Krasnoyarsk 3 1789 51.62% Anzhi Makhachkala 0 1703 20.97% 27.41%
18 2017-07-22 52.0 @ Krasnodar 2 1929 57.88% Tosno 0 1790 16.81% 25.31%
19 2017-08-09 52.7 @ Spartak Moscow 2 1885 55.53% Arsenal Tula 0 1767 18.29% 26.18%
20 2018-04-29 52.7 Spartak Moscow 2 1958 55.61% @ Amkar Perm 0 1766 18.24% 26.15%
21 2017-07-16 52.8 Zenit St. Petersburg 2 1954 55.25% @ SKA-Khabarovsk 0 1765 18.47% 26.28%
22 2017-10-01 52.9 @ Lokomotiv Moscow 3 1891 49.61% Dynamo Moscow 0 1821 22.45% 27.93%
23 2018-03-11 52.9 CSKA Moscow 3 1964 49.56% @ Akhmat Grozny 0 1822 22.50% 27.95%
24 2018-04-30 52.9 @ Ufa 1 1824 63.52% SKA-Khabarovsk 0 1633 13.63% 22.84%
25 2017-08-19 53.0 @ Rubin Kazan 6 1821 51.63% Anzhi Makhachkala 0 1735 20.96% 27.41%