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2018-19 Ukrainian Premier League Season

192 games

Final

Champion

Shakhtar Donetsk

57 points

Relegated

No relegation

Biggest Overachiever

Shakhtar Donetsk

9.75 points above expected

57 points · 47.25 expected points

Biggest Disappointment

Arsenal Kyiv

12.54 points below expected

12 points · 24.54 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 Shakhtar Donetsk 22 18 3 1 57 52 9 +43 47.25 +9.75
2 Dynamo Kyiv 22 16 2 4 50 40 11 +29 44.98 +5.02
3 Oleksandriya 22 12 5 5 41 31 19 +12 33.57 +7.43
4 Zorya Luhansk 22 8 8 6 32 28 20 +8 33.92 -1.92
5 Lviv 22 7 9 6 30 19 20 -1 27.46 +2.54
6 Mariupol 22 8 6 8 30 24 33 -9 26.89 +3.11
7 Vorskla Poltava 22 9 2 11 29 18 28 -10 31.47 -2.47
8 Desna Chernihiv 22 8 4 10 28 23 24 -1 28.30 -0.30
9 Karpaty Lviv 22 5 6 11 21 26 37 -11 25.21 -4.21
10 Olimpik Donetsk 22 4 8 10 20 25 33 -8 23.35 -3.35
11 Chernomorets Odesa 22 4 4 14 16 12 34 -22 18.60 -2.60
12 Arsenal Kyiv 22 3 3 16 12 12 42 -30 24.54 -12.54
# Team GP W D L Pts GF GA GD SimPts vsSim
1 Shakhtar Donetsk 10 8 2 0 26 21 2 +19 78.35 -52.35
2 Dynamo Kyiv 10 6 4 0 22 14 7 +7 69.09 -47.09
3 Chernomorets Odesa 10 4 3 3 15 19 15 +4 25.92 -10.92
4 Olimpik Donetsk 10 3 5 2 14 16 15 +1 33.33 -19.33
5 Arsenal Kyiv 10 4 2 4 14 14 14 0 23.60 -9.60
6 Vorskla Poltava 10 3 4 3 13 13 15 -2 44.64 -31.64
7 Mariupol 10 4 1 5 13 12 14 -2 38.41 -25.41
8 Desna Chernihiv 10 4 1 5 13 12 17 -5 44.95 -31.95
9 Karpaty Lviv 10 3 3 4 12 18 16 +2 36.33 -24.33
10 Zorya Luhansk 10 3 2 5 11 11 14 -3 44.12 -33.12
11 Oleksandriya 10 2 2 6 8 8 15 -7 53.62 -45.62
12 Lviv 10 1 1 8 4 6 20 -14 39.80 -35.80

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 Shakhtar Donetsk 57 47.25 +9.75
2 Oleksandriya 41 33.57 +7.43
3 Dynamo Kyiv 50 44.98 +5.02
4 Mariupol 30 26.89 +3.11
5 Lviv 30 27.46 +2.54

Biggest Disappointments

# Team Actual Sim vsSim
1 Arsenal Kyiv 12 24.54 -12.54
2 Karpaty Lviv 21 25.21 -4.21
3 Olimpik Donetsk 20 23.35 -3.35
4 Chernomorets Odesa 16 18.60 -2.60
5 Vorskla Poltava 29 31.47 -2.47

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 Oleksandriya 4 Jul 22 – Aug 12 1 in 30
2 Vorskla Poltava 4 Aug 31 – Sep 30 1 in 27
3 Shakhtar Donetsk 7 Aug 11 – Sep 28 1 in 16
4 Lviv 2 Oct 21 – Oct 28 1 in 15
5 Dynamo Kyiv 6 Dec 3 – Mar 17 1 in 11

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Chernomorets Odesa 9 Aug 31 – Nov 10 1 in 349
2 Arsenal Kyiv 5 Oct 21 – Nov 25 1 in 48
3 Dynamo Kyiv 2 Oct 28 – Nov 3 1 in 14
4 Vorskla Poltava 3 Nov 11 – Dec 3 1 in 12
5 Desna Chernihiv 2 Aug 5 – Aug 12 1 in 8

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Chernomorets Odesa 4 Aug 4 – Aug 25 1 in 24
2 Oleksandriya 8 Sep 29 – Dec 3 1 in 18
3 Shakhtar Donetsk 19 Aug 11 – Mar 16 1 in 14
4 Olimpik Donetsk 4 Jul 29 – Aug 19 1 in 13
5 Lviv 5 Aug 26 – Sep 30 1 in 10

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Dynamo Kyiv 3 Aug 25 – Sep 16 1 in 23
2 Olimpik Donetsk 10 Oct 28 – Mar 17 1 in 22
3 Chernomorets Odesa 11 Aug 17 – Nov 10 1 in 20
4 Arsenal Kyiv 8 Oct 21 – Feb 24 1 in 14
5 Shakhtar Donetsk 2 Nov 23 – Dec 2 1 in 14

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
Shakhtar Donetsk 2048 83 +17 13 11.0 +2.0
Dynamo Kyiv 1966 72 +12 11 9.7 +1.3
Oleksandriya 1742 49 -35 1 6.1 -5.1
Mariupol 1707 43 +23 7 4.5 +2.5
Zorya Luhansk 1766 43 -6 5 6.2 -1.2
Vorskla Poltava 1653 42 +13 8 7.3 +0.7
Desna Chernihiv 1639 41 -40 6 7.8 -1.8
Olimpik Donetsk 1632 34 -1 6 6.9 -0.9
Lviv 1669 34 -11 4 4.2 -0.2
Karpaty Lviv 1670 33 +3 8 7.8 +0.2
Chernomorets Odesa 1599 31 +52 10 5.0 +5.0
Arsenal Kyiv 1593 26 -28 2 6.5 -4.5

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 AK CO DC DK KL LVI MAR OLE OD SD VP ZL
Arsenal Kyiv —
0-1-1
3.26
0-0-2
2.23
0-0-2
0.97
1-1-0
2.70
0-0-2
2.66
0-0-2
2.74
0-0-2
1.99
1-0-1
2.60
0-0-2
1.12
1-1-0
1.94
0-0-2
2.02
Chernomorets Odesa
1-1-0
2.25
—
1-0-1
1.98
0-1-1
0.95
0-0-2
2.50
1-0-1
1.87
0-1-1
2.03
0-0-2
1.49
1-0-1
2.50
0-0-2
0.74
0-0-2
1.80
0-1-1
1.68
Desna Chernihiv
2-0-0
3.28
1-0-1
3.54
—
0-0-2
1.37
1-1-0
3.00
1-0-1
2.58
2-0-0
2.66
0-1-1
2.28
0-1-1
3.22
0-0-2
1.15
0-1-1
2.63
1-0-1
2.30
Dynamo Kyiv
2-0-0
4.67
1-1-0
4.69
2-0-0
4.20
—
1-0-1
4.45
1-0-1
4.12
2-0-0
4.23
1-0-1
3.79
2-0-0
4.60
1-0-1
2.31
2-0-0
3.93
1-1-0
3.73
Karpaty Lviv
0-1-1
2.81
2-0-0
3.00
0-1-1
2.50
1-0-1
1.15
—
0-1-1
2.47
0-2-0
2.54
0-0-2
2.05
1-1-0
2.90
0-0-2
0.94
1-0-1
2.17
0-0-2
2.11
Lviv
2-0-0
2.84
1-0-1
3.66
1-0-1
2.93
1-0-1
1.44
1-1-0
3.03
—
0-2-0
2.99
1-1-0
2.10
0-2-0
3.27
0-1-1
1.16
0-0-2
2.60
0-2-0
2.28
Mariupol
2-0-0
2.77
1-1-0
3.49
0-0-2
2.84
0-0-2
1.34
0-2-0
2.96
0-2-0
2.51
—
1-1-0
2.02
2-0-0
2.93
0-0-2
1.03
1-0-1
2.23
1-0-1
2.27
Oleksandriya
2-0-0
3.53
2-0-0
4.07
1-1-0
3.23
1-0-1
1.74
2-0-0
3.46
0-1-1
3.42
0-1-1
3.50
—
1-1-0
3.72
0-0-2
1.45
2-0-0
3.08
1-1-0
2.79
Olimpik Donetsk
1-0-1
2.91
1-0-1
3.00
1-1-0
2.29
0-0-2
1.03
0-1-1
2.60
0-2-0
2.24
0-0-2
2.57
0-1-1
1.81
—
0-1-1
0.93
1-0-1
2.02
0-2-0
1.90
Shakhtar Donetsk
2-0-0
4.49
2-0-0
4.96
2-0-0
4.46
1-0-1
3.19
2-0-0
4.70
1-1-0
4.45
2-0-0
4.60
2-0-0
4.11
1-1-0
4.72
—
2-0-0
4.21
1-1-0
4.30
Vorskla Poltava
0-1-1
3.58
2-0-0
3.74
1-1-0
2.88
0-0-2
1.61
1-0-1
3.34
2-0-0
2.90
1-0-1
3.28
0-0-2
2.43
1-0-1
3.49
0-0-2
1.37
—
1-0-1
2.37
Zorya Luhansk
2-0-0
3.51
1-1-0
3.86
1-0-1
3.21
0-1-1
1.80
2-0-0
3.40
0-2-0
3.23
1-0-1
3.24
0-1-1
2.71
0-2-0
3.62
0-1-1
1.28
1-0-1
3.13
—

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 0.83 +10.7
Allowed 0.86 -12.0
Differential 0.94 +6.3

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
05.21%11.46%7.81%3.12%1.82%1.30%30.73%
111.46%12.50%7.81%1.82%0.52%0.26%34.38%
27.81%7.81%4.17%1.82%0.26%0.26%22.14%
33.12%1.82%1.82%1.56%——8.33%
41.82%0.52%0.26%———2.60%
5+1.30%0.26%0.26%———1.82%
Total30.73%34.38%22.14%8.33%2.60%1.82%100%

Summary Statistics

Scored Allowed Difference
Mean 1.23 1.23 +0.00
SD 1.17 1.17 1.81
CV 0.94 0.94 —
Max 6 6 +5
Min 0 0 -5

Games Played: 192

↓ Scored | Allowed →012345+Total
0—18.75%12.50%12.50%3.12%3.12%50.00%
16.25%9.38%6.25%3.12%——25.00%
26.25%6.25%3.12%3.12%——18.75%
3—3.12%—3.12%——6.25%
4———————
5+———————
Total12.50%37.50%21.88%21.88%3.12%3.12%100%

Summary Statistics

Scored Allowed Difference
Mean 0.81 1.75 -0.94
SD 0.97 1.22 1.74
CV 1.19 0.70 —
Max 3 5 +2
Min 0 0 -5

Games Played: 32

↓ Scored | Allowed →012345+Total
06.25%18.75%6.25%9.38%—3.12%43.75%
16.25%12.50%9.38%3.12%——31.25%
2—9.38%—3.12%——12.50%
33.12%3.12%—3.12%——9.38%
4——3.12%———3.12%
5+———————
Total15.62%43.75%18.75%18.75%—3.12%100%

Summary Statistics

Scored Allowed Difference
Mean 0.97 1.53 -0.56
SD 1.12 1.16 1.66
CV 1.16 0.76 —
Max 4 5 +3
Min 0 0 -5

Games Played: 32

↓ Scored | Allowed →012345+Total
03.12%15.62%18.75%3.12%3.12%—43.75%
16.25%6.25%3.12%———15.62%
218.75%6.25%3.12%—3.12%—31.25%
3—3.12%—3.12%——6.25%
4—3.12%————3.12%
5+———————
Total28.12%34.38%25.00%6.25%6.25%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.09 1.28 -0.19
SD 1.15 1.14 1.79
CV 1.05 0.89 —
Max 4 4 +3
Min 0 0 -4

Games Played: 32

↓ Scored | Allowed →012345+Total
03.12%3.12%3.12%———9.38%
128.12%15.62%6.25%———50.00%
29.38%12.50%————21.88%
3——3.12%———3.12%
412.50%—————12.50%
5+3.12%—————3.12%
Total56.25%31.25%12.50%———100%

Summary Statistics

Scored Allowed Difference
Mean 1.69 0.56 +1.12
SD 1.28 0.72 1.62
CV 0.76 1.27 —
Max 5 2 +5
Min 0 0 -2

Games Played: 32

↓ Scored | Allowed →012345+Total
03.12%9.38%6.25%—3.12%3.12%25.00%
13.12%15.62%15.62%3.12%—3.12%40.62%
26.25%3.12%6.25%3.12%——18.75%
3——3.12%3.12%——6.25%
46.25%—————6.25%
5+3.12%—————3.12%
Total21.88%28.12%31.25%9.38%3.12%6.25%100%

Summary Statistics

Scored Allowed Difference
Mean 1.38 1.66 -0.28
SD 1.29 1.45 2.22
CV 0.94 0.88 —
Max 5 6 +5
Min 0 0 -5

Games Played: 32

↓ Scored | Allowed →012345+Total
012.50%12.50%9.38%3.12%—3.12%40.62%
118.75%9.38%9.38%3.12%——40.62%
23.12%3.12%9.38%3.12%——18.75%
3———————
4———————
5+———————
Total34.38%25.00%28.12%9.38%—3.12%100%

Summary Statistics

Scored Allowed Difference
Mean 0.78 1.25 -0.47
SD 0.75 1.22 1.41
CV 0.96 0.97 —
Max 2 5 +2
Min 0 0 -5

Games Played: 32

↓ Scored | Allowed →012345+Total
03.12%6.25%9.38%3.12%6.25%—28.12%
115.62%12.50%12.50%—3.12%—43.75%
23.12%6.25%6.25%———15.62%
3—6.25%6.25%———12.50%
4———————
5+———————
Total21.88%31.25%34.38%3.12%9.38%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.12 1.47 -0.34
SD 0.98 1.16 1.66
CV 0.87 0.79 —
Max 3 4 +2
Min 0 0 -4

Games Played: 32

↓ Scored | Allowed →012345+Total
03.12%12.50%12.50%———28.12%
19.38%15.62%6.25%3.12%——34.38%
29.38%12.50%3.12%———25.00%
36.25%—6.25%———12.50%
4———————
5+———————
Total28.12%40.62%28.12%3.12%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.22 1.06 +0.16
SD 1.01 0.84 1.44
CV 0.83 0.79 —
Max 3 3 +3
Min 0 0 -2

Games Played: 32

↓ Scored | Allowed →012345+Total
03.12%6.25%3.12%———12.50%
19.38%25.00%18.75%3.12%——56.25%
23.12%3.12%9.38%3.12%—3.12%21.88%
3—3.12%3.12%3.12%——9.38%
4———————
5+———————
Total15.62%37.50%34.38%9.38%—3.12%100%

Summary Statistics

Scored Allowed Difference
Mean 1.28 1.50 -0.22
SD 0.81 1.08 1.10
CV 0.63 0.72 —
Max 3 5 +2
Min 0 0 -3

Games Played: 32

↓ Scored | Allowed →012345+Total
06.25%3.12%————9.38%
118.75%6.25%————25.00%
218.75%6.25%3.12%———28.12%
318.75%—————18.75%
43.12%3.12%————6.25%
5+6.25%3.12%3.12%———12.50%
Total71.88%21.88%6.25%———100%

Summary Statistics

Scored Allowed Difference
Mean 2.28 0.34 +1.94
SD 1.55 0.60 1.56
CV 0.68 1.75 —
Max 6 2 +5
Min 0 0 -1

Games Played: 32

↓ Scored | Allowed →012345+Total
03.12%18.75%9.38%3.12%6.25%—40.62%
112.50%6.25%3.12%—3.12%—25.00%
29.38%15.62%6.25%———31.25%
3———3.12%——3.12%
4———————
5+———————
Total25.00%40.62%18.75%6.25%9.38%—100%

Summary Statistics

Scored Allowed Difference
Mean 0.97 1.34 -0.38
SD 0.93 1.21 1.66
CV 0.96 0.90 —
Max 3 4 +2
Min 0 0 -4

Games Played: 32

↓ Scored | Allowed →012345+Total
015.62%12.50%3.12%3.12%—3.12%37.50%
13.12%15.62%3.12%3.12%——25.00%
26.25%9.38%—6.25%——21.88%
39.38%3.12%————12.50%
4———————
5+3.12%—————3.12%
Total37.50%40.62%6.25%12.50%—3.12%100%

Summary Statistics

Scored Allowed Difference
Mean 1.22 1.06 +0.16
SD 1.26 1.22 1.94
CV 1.04 1.14 —
Max 5 5 +5
Min 0 0 -5

Games Played: 32

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
Shakhtar Donetsk 2048 57 47.25 +9.75 96.0% 34 39 43 47 51 56 61
Dynamo Kyiv 1966 50 44.98 +5.02 87.0% 34 35 42 45 48 53 57
Zorya Luhansk 1766 32 33.92 -1.92 43.0% 18 23 29 33 38 43 48
Oleksandriya 1742 41 33.57 +7.43 94.0% 21 23 31 34 37 42 45
Mariupol 1707 30 26.89 +3.11 65.0% 13 16 22 27 32 37 41
Karpaty Lviv 1670 21 25.21 -4.21 27.0% 15 17 21 25 29 33 40
Lviv 1669 30 27.46 +2.54 67.0% 10 17 24 27 32 36 43
Vorskla Poltava 1653 29 31.47 -2.47 40.0% 19 21 27 32 35 41 49
Desna Chernihiv 1639 28 28.30 -0.30 56.0% 15 19 23 28 33 39 41
Olimpik Donetsk 1632 20 23.35 -3.35 34.0% 13 14 19 22 28 33 40
Chernomorets Odesa 1599 16 18.60 -2.60 38.0% 2 11 15 18 22 26 32
Arsenal Kyiv 1593 12 24.54 -12.54 0.0% 13 16 21 24 28 36 41

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 9% * Slight Edge: 9% to 16% * Clear Edge: 16% to 30.5% * Strong Edge: 30.5% 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
-2.60%
No Edge
36.98%23.44%39.58%
Elo Value
Home Edge: -9.05 Elo pts.
162 Elo
0.006 goals per Elo point
0500
Scoring Tilt
Expected
-0.04 goals
Neutral
-2-0.06+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 * Middle of the Pack: 3rd to 6th * Longshot: 7th 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 0.11 * Tight Race: 0.11 to 0.21 * Comfortable: 0.21 to 0.37 * Runaway: 0.37 and up.
Title-Race Openness
2.1
Top-Heavy
123410
Champion Preseason Odds
56%
Shakhtar Donetsk, 1st of 12
LongshotFavorite
Title Margin
Expected
0.32/gm
Comfortable
00.250.5/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 4.58 * Some Luck: 4.58 to 6.88 * Lucky: 6.88 to 9.17 * Wild Swing: 9.17 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 1.38 * Close: 1.38 to 2.08 * Off: 2.08 to 2.77 * Way Off: 2.77 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 12 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 12 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 12 * As Expected: 12 to 19.2 * Several Outliers: 19.2 to 26.4 * Many Outliers: 26.4 and up.
Luck Spread
Expected
5.73 points
Some Luck
05.7314
Average Finish Error
Expected
1.17
Pinpoint
01.734
Biggest Overachiever
Expected 95.83%
96.00%
Shakhtar Donetsk
50100
Biggest Underachiever
Expected 4.17%
0.00%
Arsenal Kyiv
050
Season Outliers
Expected
2 of 12
Minimal Outliers
01.26

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 0.19 * Even: 0.19 to 0.21 * Top-Heavy: 0.21 to 0.23 * Lopsided: 0.23 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 2 * Moderate Separation: 2 to 2.2 * Strong Separation: 2.2 to 2.35 * Wide Separation: 2.35 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 68.5% * Slight Edge: 68.5% to 72.5% * Clear Edge: 72.5% to 77.5% * Wide Edge: 77.5% 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 93.5% * Clear Edge: 93.5% to 95.5% * Strong Edge: 95.5% to 97.5% * Dominant: 97.5% 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 59% * Some Drama: 59% to 62.5% * Frequent: 62.5% to 66% * Very Frequent: 66% 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 14% * Occasional: 14% to 15.5% * Frequent: 15.5% to 18.5% * Very Frequent: 18.5% and up.
Gini Index
0.23
Top-Heavy
00.190.5
Noll-Scully
Elo SD: 137.27
2.14
Moderate Separation
122.23
Interquartile Edge
67%
Even
50%68.5%77.5%100%
Best vs. Worst
Baseline 94%
94%
Clear Edge
50%100%
Close Games
Expected
66%
Frequent
0%59%100%
Blowouts
Expected
15%
Occasional
0%17%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 0.39 * Slight Separation: 0.39 to 0.45 * Notable Separation: 0.45 to 0.47 * Lopsided: 0.47 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 0.54 * Some Carryover: 0.54 to 0.69 * Strong Carryover: 0.69 to 0.76 * Near-Lock: 0.76 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 15.5% * As Expected: 15.5% to 17% * Upset-Prone: 17% to 20% * Very Upset-Prone: 20% 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 12.5% * As Expected: 12.5% to 14.5% * Shaky Favorites: 14.5% to 17% * Very Shaky: 17% and up.
Brier Score
Expected
0.57
Predictable
00.592
Matchup Imbalance
0.35
Very Even
00.390.5
Strangeness
Expected
1.07
As Expected
01.002
Repeatability
0.70
Strong Carryover
00.540.691
Upset Rate
Expected
22%
Very Upset-Prone
0%25%50%
Clear Favorite Upset Rate
Expected
19%
Very Shaky
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 0.12 * Near Noise Ceiling: 0.12 to 0.18 * Above Noise: 0.18 to 0.24 * Well Above Noise: 0.24 and up.
Probability calibration
0.51
Excellent
0.010.050.10.51
Calibration slope
Ideal
1.27
Underconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.051
Well Within Noise
00.1220.3

Elo Progression Through The Playoffs

How each team's Elo rating moved through the playoff games. Game 0 is the starting Elo just before the first game; each later point is the post-game Elo after that fixture. Steep upward moves are wins over higher-rated opponents; sharp drops are losses to lower-rated opponents.

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).

Team123456789101112
Shakhtar Donetsk56.00%39.00%4.00%1.00%————————
Dynamo Kyiv40.00%41.00%13.00%2.00%3.00%1.00%——————
Oleksandriya1.00%6.00%23.00%23.00%20.00%9.00%4.00%4.00%8.00%1.00%—1.00%
Zorya Luhansk1.00%7.00%28.00%16.00%13.00%17.00%5.00%7.00%2.00%1.00%3.00%—
Lviv——6.00%8.00%9.00%14.00%17.00%13.00%14.00%5.00%8.00%6.00%
Mariupol——6.00%11.00%11.00%7.00%13.00%12.00%9.00%15.00%13.00%3.00%
Vorskla Poltava—6.00%9.00%21.00%11.00%11.00%20.00%5.00%8.00%5.00%3.00%1.00%
Desna Chernihiv1.00%1.00%8.00%8.00%13.00%8.00%16.00%15.00%6.00%13.00%8.00%3.00%
Karpaty Lviv——1.00%2.00%9.00%10.00%14.00%15.00%15.00%16.00%13.00%5.00%
Olimpik Donetsk———1.00%5.00%19.00%4.00%9.00%11.00%15.00%19.00%17.00%
Chernomorets Odesa———1.00%—3.00%1.00%6.00%12.00%11.00%18.00%48.00%
Arsenal Kyiv1.00%—2.00%6.00%6.00%1.00%6.00%14.00%15.00%18.00%15.00%16.00%

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.

Next-Season Status

Across 100,000 regular-season simulations, the probability of each team's next-season status. Columns appear in best-to-worst outcome order: promotion-positive on the left, relegation-positive on the right. Cells with darker shading indicate higher likelihood.

Team Same level Qualified for relegation playoff final Lost relegation playoff
Dynamo Kyiv 100% — —
Oleksandriya 98.00% 2.00% —
Shakhtar Donetsk 100% — —
Vorskla Poltava 91.00% 9.00% —
Desna Chernihiv 84.00% 15.00% 1.00%
Zorya Luhansk 96.00% 3.00% 1.00%
Mariupol 71.00% 27.00% 2.00%
Karpaty Lviv 73.00% 23.00% 4.00%
Lviv 82.00% 14.00% 4.00%
Olimpik Donetsk 51.00% 38.00% 11.00%
Arsenal Kyiv 43.00% 31.00% 26.00%
Chernomorets Odesa 11.00% 38.00% 51.00%

Actual Promotion/Relegation Outcomes

Across 100,000 simulations that fixed the regular-season standings and projected only the promotion/relegation playoff, each participating team's chance of going up versus staying at this level.

Team Same level Qualified for relegation playoff final Lost relegation playoff
Desna Chernihiv 97.62% 2.38% —
Dynamo Kyiv 100% — —
Lviv 100% — —
Mariupol 100% — —
Oleksandriya 100% — —
Shakhtar Donetsk 100% — —
Vorskla Poltava 97.78% 2.22% —
Zorya Luhansk 100% — —
Karpaty Lviv 66.28% 32.80% 0.92%
Olimpik Donetsk 33.14% 63.42% 3.44%
Chernomorets Odesa 3.45% 62.90% 33.65%
Arsenal Kyiv 1.73% 36.28% 61.99%

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
2018-07-22 Lviv L 0-259.0 1720 1702 40.26% 24.82% 34.92%+0.06 -16.3 0
2018-07-22 @ Arsenal Kyiv W 2-059.0 1702 1720 34.92% 24.82% 40.26%-0.06 +16.3 3
2018-07-22 Mariupol W 2-165.5 1737 1686 44.69% 24.63% 30.68%+0.26 +6.6 3
2018-07-22 @ Zorya Luhansk L 1-265.5 1686 1737 30.68% 24.63% 44.69%-0.26 -6.6 0
2018-07-22 Oleksandriya L 0-255.1 1651 1716 28.84% 24.48% 46.69%-0.46 -12.6 0
2018-07-22 @ Karpaty Lviv W 2-055.1 1716 1651 46.69% 24.48% 28.84%+0.46 +12.6 3
2018-07-23 Olimpik Donetsk W 2-166.8 1616 1638 34.46% 24.81% 40.73%-0.19 +8.2 3
2018-07-23 @ Chernomorets Odesa L 1-266.8 1638 1616 40.73% 24.81% 34.46%+0.19 -8.2 0
2018-07-25 Shakhtar Donetsk L 0-250.6 1682 1910 14.27% 20.75% 64.98%-1.46 -6.6 0
2018-07-25 @ Desna Chernihiv W 2-050.6 1910 1682 64.98% 20.75% 14.27%+1.46 +6.6 3
2018-07-25 Vorskla Poltava W 1-056.0 1885 1742 56.12% 23.13% 20.74%+0.82 +5.0 3
2018-07-25 @ Dynamo Kyiv L 0-156.0 1742 1885 20.74% 23.13% 56.12%-0.82 -5.0 0
2018-07-28 Dynamo Kyiv L 0-155.0 1718 1890 18.24% 22.40% 59.37%-1.12 -4.4 3
2018-07-28 @ Lviv W 1-055.0 1890 1718 59.37% 22.40% 18.24%+1.12 +4.4 6
2018-07-28 Zorya Luhansk W 1-061.8 1729 1744 35.47% 24.84% 39.69%-0.15 +8.5 6
2018-07-28 @ Oleksandriya L 0-161.8 1744 1729 39.69% 24.84% 35.47%+0.15 -8.5 3
2018-07-29 Arsenal Kyiv W 3-049.6 1916 1704 63.45% 21.25% 15.30%+1.25 +10.2 6
2018-07-29 @ Shakhtar Donetsk L 0-349.6 1704 1916 15.30% 21.25% 63.45%-1.25 -10.2 0
2018-07-29 Chernomorets Odesa W 1-058.7 1638 1624 39.62% 24.84% 35.55%+0.03 +7.9 3
2018-07-29 @ Karpaty Lviv L 0-158.7 1624 1638 35.55% 24.84% 39.62%-0.03 -7.8 3
2018-07-29 Desna Chernihiv L 1-461.5 1680 1675 38.25% 24.85% 36.90%-0.03 -19.2 0
2018-07-29 @ Mariupol W 4-161.5 1675 1680 36.90% 24.85% 38.25%+0.03 +19.2 3
2018-07-29 Vorskla Poltava W 1-064.6 1630 1737 24.12% 23.85% 52.04%-0.72 +10.7 3
2018-07-29 @ Olimpik Donetsk L 0-164.6 1737 1630 52.04% 23.85% 24.12%+0.72 -10.7 0
2018-08-03 Shakhtar Donetsk W 1-063.0 1894 1926 33.12% 24.76% 42.11%-0.25 +8.9 9
2018-08-03 @ Dynamo Kyiv L 0-163.0 1926 1894 42.11% 24.76% 33.12%+0.25 -9.0 6
2018-08-04 Chernomorets Odesa D 1-173.0 1735 1616 53.42% 23.63% 22.95%+0.68 -1.4 4
2018-08-04 @ Zorya Luhansk D 1-173.0 1616 1735 22.95% 23.63% 53.42%-0.68 +1.4 4
2018-08-04 Lviv W 1-060.4 1727 1713 39.47% 24.84% 35.69%+0.03 +7.9 3
2018-08-04 @ Vorskla Poltava L 0-160.4 1713 1727 35.69% 24.84% 39.47%-0.03 -7.9 3
2018-08-05 Mariupol L 1-268.5 1694 1661 42.28% 24.76% 32.96%+0.15 -8.5 0
2018-08-05 @ Arsenal Kyiv W 2-168.5 1661 1694 32.96% 24.76% 42.28%-0.15 +8.5 3
2018-08-05 Oleksandriya L 0-256.4 1694 1738 31.65% 24.69% 43.66%-0.32 -13.5 3
2018-08-05 @ Desna Chernihiv W 2-056.4 1738 1694 43.66% 24.69% 31.65%+0.32 +13.5 9
2018-08-05 Olimpik Donetsk D 2-278.4 1646 1640 38.40% 24.85% 36.74%-0.02 -0.0 4
2018-08-05 @ Karpaty Lviv D 2-278.4 1640 1646 36.74% 24.85% 38.40%+0.02 +0.0 4
2018-08-10 Lviv D 1-172.7 1640 1706 28.89% 24.48% 46.63%-0.46 +0.8 5
2018-08-10 @ Olimpik Donetsk D 1-172.7 1706 1640 46.63% 24.48% 28.89%+0.46 -0.8 4
2018-08-11 Vorskla Poltava W 4-155.6 1917 1735 60.51% 22.10% 17.39%+1.07 +9.8 9
2018-08-11 @ Shakhtar Donetsk L 1-455.6 1735 1917 17.39% 22.10% 60.51%-1.07 -9.8 3
2018-08-12 Arsenal Kyiv W 1-058.3 1751 1685 46.67% 24.48% 28.85%+0.35 +6.7 12
2018-08-12 @ Oleksandriya L 0-158.3 1685 1751 28.85% 24.48% 46.67%-0.35 -6.7 0
2018-08-12 Desna Chernihiv W 1-062.3 1617 1681 29.13% 24.50% 46.37%-0.45 +9.7 7
2018-08-12 @ Chernomorets Odesa L 0-162.3 1681 1617 46.37% 24.50% 29.13%+0.45 -9.7 3
2018-08-12 Zorya Luhansk L 0-157.0 1646 1734 26.26% 24.18% 49.56%-0.60 -6.2 4
2018-08-12 @ Karpaty Lviv W 1-057.0 1734 1646 49.56% 24.18% 26.26%+0.60 +6.2 7
2018-08-17 Chernomorets Odesa D 1-172.2 1679 1627 44.81% 24.62% 30.57%+0.26 -0.6 1
2018-08-17 @ Arsenal Kyiv D 1-172.2 1627 1679 30.57% 24.62% 44.81%-0.26 +0.6 8
2018-08-18 Oleksandriya W 1-055.9 1903 1758 56.47% 23.06% 20.47%+0.84 +4.9 12
2018-08-18 @ Dynamo Kyiv L 0-155.9 1758 1903 20.47% 23.06% 56.47%-0.84 -5.0 12
2018-08-18 Shakhtar Donetsk L 0-250.8 1705 1927 14.62% 20.92% 64.46%-1.43 -6.7 4
2018-08-18 @ Lviv W 2-050.8 1927 1705 64.46% 20.92% 14.62%+1.43 +6.7 12
2018-08-19 Karpaty Lviv D 2-278.7 1671 1640 42.01% 24.77% 33.22%+0.14 -0.3 4
2018-08-19 @ Desna Chernihiv D 2-278.7 1640 1671 33.22% 24.77% 42.01%-0.14 +0.3 5
2018-08-19 Mariupol W 2-165.1 1725 1669 45.35% 24.58% 30.07%+0.29 +6.5 6
2018-08-19 @ Vorskla Poltava L 1-265.1 1669 1725 30.07% 24.58% 45.35%-0.29 -6.5 3
2018-08-19 Olimpik Donetsk D 0-067.6 1740 1641 50.95% 24.00% 25.05%+0.55 -1.3 8
2018-08-19 @ Zorya Luhansk D 0-067.6 1641 1740 25.05% 24.00% 50.95%-0.55 +1.3 6
2018-08-24 Shakhtar Donetsk L 2-554.4 1642 1934 10.80% 18.59% 70.61%-1.85 -5.1 6
2018-08-24 @ Olimpik Donetsk W 5-254.4 1934 1642 70.61% 18.59% 10.80%+1.85 +5.2 15
2018-08-25 Dynamo Kyiv D 1-175.4 1628 1908 11.33% 18.98% 69.69%-1.78 +2.8 9
2018-08-25 @ Chernomorets Odesa D 1-175.4 1908 1628 69.69% 18.98% 11.33%+1.78 -2.8 13
2018-08-25 Vorskla Poltava W 2-057.6 1753 1731 40.64% 24.82% 34.55%+0.08 +14.5 15
2018-08-25 @ Oleksandriya L 0-257.6 1731 1753 34.55% 24.82% 40.64%-0.08 -14.5 6
2018-08-26 Arsenal Kyiv L 1-265.1 1640 1678 32.32% 24.73% 42.95%-0.29 -6.9 5
2018-08-26 @ Karpaty Lviv W 2-165.1 1678 1640 42.95% 24.73% 32.32%+0.29 +6.9 4
2018-08-26 Desna Chernihiv L 0-260.8 1739 1671 46.97% 24.45% 28.58%+0.36 -18.4 8
2018-08-26 @ Zorya Luhansk W 2-060.8 1671 1739 28.58% 24.45% 46.97%-0.36 +18.4 7
2018-08-26 Lviv D 2-279.2 1663 1698 32.67% 24.74% 42.59%-0.27 +0.3 4
2018-08-26 @ Mariupol D 2-279.2 1698 1663 42.59% 24.74% 32.67%+0.27 -0.3 5
2018-08-31 Chernomorets Odesa W 2-163.5 1717 1630 49.35% 24.20% 26.44%+0.48 +5.9 9
2018-08-31 @ Vorskla Poltava L 1-263.5 1630 1717 26.44% 24.20% 49.35%-0.48 -5.8 9
2018-09-01 Mariupol W 2-049.3 1939 1663 69.31% 19.13% 11.55%+1.65 +5.2 18
2018-09-01 @ Shakhtar Donetsk L 0-249.3 1663 1939 11.55% 19.13% 69.31%-1.65 -5.2 4
2018-09-02 Karpaty Lviv L 0-266.4 1905 1633 68.98% 19.27% 11.76%+1.62 -25.6 13
2018-09-02 @ Dynamo Kyiv W 2-066.4 1633 1905 11.76% 19.27% 68.98%-1.62 +25.6 8
2018-09-02 Oleksandriya D 2-280.0 1698 1767 28.38% 24.43% 47.19%-0.48 +0.6 6
2018-09-02 @ Lviv D 2-280.0 1767 1698 47.19% 24.43% 28.38%+0.48 -0.6 16
2018-09-02 Olimpik Donetsk L 0-162.2 1689 1637 44.85% 24.62% 30.53%+0.26 -9.4 7
2018-09-02 @ Desna Chernihiv W 1-062.2 1637 1689 30.53% 24.62% 44.85%-0.26 +9.4 9
2018-09-02 Zorya Luhansk L 0-555.3 1685 1720 32.70% 24.75% 42.56%-0.27 -32.5 4
2018-09-02 @ Arsenal Kyiv W 5-055.3 1720 1685 42.56% 24.75% 32.70%+0.27 +32.5 11
2018-09-14 Arsenal Kyiv W 1-059.0 1680 1653 41.44% 24.79% 33.77%+0.11 +7.5 10
2018-09-14 @ Desna Chernihiv L 0-159.0 1653 1680 33.77% 24.79% 41.44%-0.11 -7.5 4
2018-09-15 Shakhtar Donetsk L 0-252.2 1767 1944 17.79% 22.24% 59.97%-1.15 -8.2 16
2018-09-15 @ Oleksandriya W 2-052.2 1944 1767 59.97% 22.24% 17.79%+1.15 +8.2 21
2018-09-15 Vorskla Poltava L 0-158.0 1659 1723 29.06% 24.50% 46.44%-0.45 -6.7 8
2018-09-15 @ Karpaty Lviv W 1-058.0 1723 1659 46.44% 24.50% 29.06%+0.45 +6.7 12
2018-09-16 Dynamo Kyiv D 1-174.2 1753 1880 22.19% 23.47% 54.34%-0.84 +1.5 12
2018-09-16 @ Zorya Luhansk D 1-174.2 1880 1753 54.34% 23.47% 22.19%+0.84 -1.5 14
2018-09-16 Lviv L 0-157.0 1625 1698 27.89% 24.38% 47.73%-0.51 -6.5 9
2018-09-16 @ Chernomorets Odesa W 1-057.0 1698 1625 47.73% 24.38% 27.89%+0.51 +6.5 9
2018-09-16 Mariupol L 1-363.2 1647 1658 36.00% 24.85% 39.16%-0.12 -12.9 9
2018-09-16 @ Olimpik Donetsk W 3-163.2 1658 1647 39.16% 24.85% 36.00%+0.12 +13.0 7
2018-09-22 Karpaty Lviv D 1-172.8 1705 1652 44.96% 24.61% 30.43%+0.27 -0.6 10
2018-09-22 @ Lviv D 1-172.8 1652 1705 30.43% 24.61% 44.96%-0.27 +0.6 9
2018-09-22 Oleksandriya W 1-064.3 1671 1758 26.27% 24.18% 49.55%-0.60 +10.2 10
2018-09-22 @ Mariupol L 0-164.3 1758 1671 49.55% 24.18% 26.27%+0.60 -10.2 16
2018-09-22 Olimpik Donetsk L 1-363.8 1645 1634 39.20% 24.84% 35.96%+0.01 -13.8 4
2018-09-22 @ Arsenal Kyiv W 3-163.8 1634 1645 35.96% 24.84% 39.20%-0.01 +13.8 12
2018-09-23 Chernomorets Odesa W 3-046.3 1953 1618 74.00% 17.06% 8.94%+2.00 +5.7 24
2018-09-23 @ Shakhtar Donetsk L 0-346.3 1618 1953 8.94% 17.06% 74.00%-2.00 -5.7 9
2018-09-23 Desna Chernihiv W 4-049.9 1878 1687 61.35% 21.87% 16.78%+1.12 +14.6 17
2018-09-23 @ Dynamo Kyiv L 0-449.9 1687 1878 16.78% 21.87% 61.35%-1.12 -14.6 10
2018-09-23 Zorya Luhansk W 2-169.0 1729 1754 34.08% 24.80% 41.11%-0.21 +8.3 15
2018-09-23 @ Vorskla Poltava L 1-269.0 1754 1729 41.11% 24.80% 34.08%+0.21 -8.3 12
2018-09-26 Dynamo Kyiv L 0-251.0 1681 1893 15.30% 21.24% 63.46%-1.36 -7.0 10
2018-09-26 @ Mariupol W 2-051.0 1893 1681 63.46% 21.24% 15.30%+1.36 +7.0 20
2018-09-28 Shakhtar Donetsk L 1-649.2 1653 1958 10.15% 18.10% 71.75%-1.94 -8.8 9
2018-09-28 @ Karpaty Lviv W 6-149.2 1958 1653 71.75% 18.10% 10.15%+1.94 +8.8 27
2018-09-29 Oleksandriya L 2-368.4 1647 1748 24.85% 23.97% 51.17%-0.68 -5.3 12
2018-09-29 @ Olimpik Donetsk W 3-268.4 1748 1647 51.17% 23.97% 24.85%+0.68 +5.3 19
2018-09-30 Dynamo Kyiv L 0-152.0 1631 1900 11.93% 19.39% 68.68%-1.71 -2.9 4
2018-09-30 @ Arsenal Kyiv W 1-052.0 1900 1631 68.68% 19.39% 11.93%+1.71 +2.9 23
2018-09-30 Lviv D 0-067.8 1746 1704 43.46% 24.70% 31.84%+0.20 -0.6 13
2018-09-30 @ Zorya Luhansk D 0-067.8 1704 1746 31.84% 24.70% 43.46%-0.20 +0.6 11
2018-09-30 Mariupol L 0-157.1 1612 1674 29.37% 24.52% 46.10%-0.43 -6.8 9
2018-09-30 @ Chernomorets Odesa W 1-057.1 1674 1612 46.10% 24.52% 29.37%+0.43 +6.8 13
2018-09-30 Vorskla Poltava L 0-255.4 1673 1738 28.94% 24.48% 46.57%-0.46 -12.6 10
2018-09-30 @ Desna Chernihiv W 2-055.4 1738 1673 46.57% 24.48% 28.94%+0.46 +12.6 18
2018-10-06 Chernomorets Odesa W 3-266.5 1754 1606 56.72% 23.01% 20.27%+0.86 +4.4 22
2018-10-06 @ Oleksandriya L 2-366.5 1606 1754 20.27% 23.01% 56.72%-0.86 -4.4 9
2018-10-06 Karpaty Lviv D 1-172.4 1681 1644 42.76% 24.74% 32.51%+0.17 -0.4 14
2018-10-06 @ Mariupol D 1-172.4 1644 1681 32.51% 24.74% 42.76%-0.17 +0.4 10
2018-10-07 Arsenal Kyiv L 0-262.4 1750 1628 53.73% 23.58% 22.69%+0.70 -20.7 18
2018-10-07 @ Vorskla Poltava W 2-062.4 1628 1750 22.69% 23.58% 53.73%-0.70 +20.7 7
2018-10-07 Desna Chernihiv L 1-366.1 1705 1660 43.85% 24.68% 31.47%+0.22 -15.1 11
2018-10-07 @ Lviv W 3-166.1 1660 1705 31.47% 24.68% 43.85%-0.22 +15.1 13
2018-10-07 Olimpik Donetsk W 1-052.3 1903 1642 67.97% 19.67% 12.37%+1.55 +3.0 26
2018-10-07 @ Dynamo Kyiv L 0-152.3 1642 1903 12.37% 19.67% 67.97%-1.55 -3.0 12
2018-10-07 Zorya Luhansk D 1-175.1 1967 1745 64.37% 20.95% 14.68%+1.31 -2.4 28
2018-10-07 @ Shakhtar Donetsk D 1-175.1 1745 1967 14.68% 20.95% 64.37%-1.31 +2.4 14
2018-10-19 Desna Chernihiv W 1-051.7 1965 1675 70.43% 18.67% 10.90%+1.73 +2.6 31
2018-10-19 @ Shakhtar Donetsk L 0-151.7 1675 1965 10.90% 18.67% 70.43%-1.73 -2.6 13
2018-10-20 Dynamo Kyiv L 0-154.9 1730 1906 17.89% 22.28% 59.83%-1.14 -4.3 18
2018-10-20 @ Vorskla Poltava W 1-054.9 1906 1730 59.83% 22.28% 17.89%+1.14 +4.4 29
2018-10-20 Zorya Luhansk W 3-275.4 1680 1748 28.61% 24.45% 46.94%-0.47 +8.7 17
2018-10-20 @ Mariupol L 2-375.4 1748 1680 46.94% 24.45% 28.61%+0.47 -8.7 14
2018-10-21 Arsenal Kyiv W 1-058.5 1690 1649 43.31% 24.71% 31.98%+0.20 +7.2 14
2018-10-21 @ Lviv L 0-158.5 1649 1690 31.98% 24.71% 43.31%-0.20 -7.2 7
2018-10-21 Chernomorets Odesa W 1-057.3 1639 1601 42.92% 24.73% 32.35%+0.18 +7.3 15
2018-10-21 @ Olimpik Donetsk L 0-157.3 1601 1639 32.35% 24.73% 42.92%-0.18 -7.3 9
2018-10-21 Karpaty Lviv W 2-162.9 1758 1644 52.73% 23.74% 23.52%+0.64 +5.3 25
2018-10-21 @ Oleksandriya L 1-262.9 1644 1758 23.52% 23.74% 52.73%-0.64 -5.3 10
2018-10-27 Mariupol W 2-058.5 1673 1689 35.27% 24.83% 39.90%-0.16 +16.2 16
2018-10-27 @ Desna Chernihiv L 0-258.5 1689 1673 39.90% 24.83% 35.27%+0.16 -16.2 17
2018-10-27 Oleksandriya D 0-068.0 1739 1763 34.19% 24.80% 41.01%-0.20 +0.3 15
2018-10-27 @ Zorya Luhansk D 0-068.0 1763 1739 41.01% 24.80% 34.19%+0.20 -0.3 26
2018-10-27 Shakhtar Donetsk L 0-346.6 1642 1967 9.30% 17.38% 73.32%-2.06 -6.0 7
2018-10-27 @ Arsenal Kyiv W 3-046.6 1967 1642 73.32% 17.38% 9.30%+2.06 +6.0 34
2018-10-28 Karpaty Lviv L 0-552.8 1594 1639 31.42% 24.68% 43.90%-0.33 -31.5 9
2018-10-28 @ Chernomorets Odesa W 5-052.8 1639 1594 43.90% 24.68% 31.42%+0.33 +31.5 13
2018-10-28 Lviv L 0-168.2 1910 1697 63.58% 21.21% 15.22%+1.26 -12.7 29
2018-10-28 @ Dynamo Kyiv W 1-068.2 1697 1910 15.22% 21.21% 63.58%-1.26 +12.7 17
2018-10-28 Olimpik Donetsk W 2-164.0 1725 1647 48.37% 24.31% 27.31%+0.43 +6.0 21
2018-10-28 @ Vorskla Poltava L 1-264.0 1647 1725 27.31% 24.31% 48.37%-0.43 -6.0 15
2018-11-03 Arsenal Kyiv W 1-058.4 1673 1636 42.79% 24.74% 32.48%+0.17 +7.3 20
2018-11-03 @ Mariupol L 0-158.4 1636 1673 32.48% 24.74% 42.79%-0.17 -7.3 7
2018-11-03 Dynamo Kyiv W 2-165.3 1973 1898 47.98% 24.35% 27.67%+0.41 +6.1 37
2018-11-03 @ Shakhtar Donetsk L 1-265.3 1898 1973 27.67% 24.35% 47.98%-0.41 -6.1 29
2018-11-03 Karpaty Lviv L 1-265.4 1641 1671 33.40% 24.78% 41.83%-0.24 -7.1 15
2018-11-03 @ Olimpik Donetsk W 2-165.4 1671 1641 41.83% 24.78% 33.40%+0.24 +7.1 16
2018-11-04 Desna Chernihiv D 1-173.5 1763 1689 47.78% 24.37% 27.85%+0.40 -0.9 27
2018-11-04 @ Oleksandriya D 1-173.5 1689 1763 27.85% 24.37% 47.78%-0.40 +0.9 17
2018-11-04 Vorskla Poltava L 0-257.4 1710 1731 34.53% 24.81% 40.65%-0.19 -14.5 17
2018-11-04 @ Lviv W 2-057.4 1731 1710 40.65% 24.81% 34.53%+0.19 +14.5 24
2018-11-04 Zorya Luhansk L 0-349.0 1563 1739 17.86% 22.27% 59.88%-1.15 -11.9 9
2018-11-04 @ Chernomorets Odesa W 3-049.0 1739 1563 59.88% 22.27% 17.86%+1.15 +11.9 18
2018-11-10 Chernomorets Odesa W 2-050.7 1690 1551 55.72% 23.21% 21.06%+0.80 +9.6 20
2018-11-10 @ Desna Chernihiv L 0-250.7 1551 1690 21.06% 23.21% 55.72%-0.80 -9.6 9
2018-11-10 Karpaty Lviv W 2-164.6 1751 1678 47.73% 24.38% 27.89%+0.40 +6.1 21
2018-11-10 @ Zorya Luhansk L 1-264.6 1678 1751 27.89% 24.38% 47.73%-0.40 -6.1 16
2018-11-10 Oleksandriya L 0-351.3 1628 1762 21.57% 23.33% 55.09%-0.88 -14.2 7
2018-11-10 @ Arsenal Kyiv W 3-051.3 1762 1628 55.09% 23.33% 21.57%+0.88 +14.2 30
2018-11-10 Olimpik Donetsk D 1-172.5 1695 1633 46.14% 24.52% 29.34%+0.32 -0.7 18
2018-11-10 @ Lviv D 1-172.5 1633 1695 29.34% 24.52% 46.14%-0.32 +0.7 16
2018-11-11 Mariupol W 4-049.3 1892 1680 63.40% 21.26% 15.34%+1.25 +13.4 32
2018-11-11 @ Dynamo Kyiv L 0-449.3 1680 1892 15.34% 21.26% 63.40%-1.25 -13.4 20
2018-11-11 Shakhtar Donetsk L 0-250.6 1746 1979 13.93% 20.57% 65.51%-1.50 -6.4 24
2018-11-11 @ Vorskla Poltava W 2-050.6 1979 1746 65.51% 20.57% 13.93%+1.50 +6.4 40
2018-11-23 Lviv D 0-070.2 1986 1694 70.59% 18.60% 10.81%+1.74 -3.2 41
2018-11-23 @ Shakhtar Donetsk D 0-070.2 1694 1986 10.81% 18.60% 70.59%-1.74 +3.2 19
2018-11-24 Desna Chernihiv L 0-256.7 1671 1699 33.69% 24.79% 41.52%-0.23 -14.2 16
2018-11-24 @ Karpaty Lviv W 2-056.7 1699 1671 41.52% 24.79% 33.69%+0.23 +14.2 23
2018-11-24 Vorskla Poltava W 1-063.7 1667 1739 28.01% 24.39% 47.59%-0.50 +9.9 23
2018-11-24 @ Mariupol L 0-163.7 1739 1667 47.59% 24.39% 28.01%+0.50 -9.9 24
2018-11-25 Arsenal Kyiv W 2-166.6 1541 1614 27.95% 24.39% 47.66%-0.51 +9.3 12
2018-11-25 @ Chernomorets Odesa L 1-266.6 1614 1541 47.66% 24.39% 27.95%+0.51 -9.3 7
2018-11-25 Dynamo Kyiv W 2-173.0 1776 1905 22.03% 23.44% 54.53%-0.85 +10.5 33
2018-11-25 @ Oleksandriya L 1-273.0 1905 1776 54.53% 23.44% 22.03%+0.85 -10.5 32
2018-11-25 Zorya Luhansk D 1-173.4 1634 1757 22.57% 23.55% 53.88%-0.81 +1.4 17
2018-11-25 @ Olimpik Donetsk D 1-173.4 1757 1634 53.88% 23.55% 22.57%+0.81 -1.4 22
2018-12-01 Karpaty Lviv D 1-171.6 1605 1657 30.49% 24.61% 44.89%-0.38 +0.6 8
2018-12-01 @ Arsenal Kyiv D 1-171.6 1657 1605 44.89% 24.61% 30.49%+0.38 -0.6 17
2018-12-01 Zorya Luhansk L 0-256.6 1713 1756 31.75% 24.70% 43.56%-0.32 -13.6 23
2018-12-01 @ Desna Chernihiv W 2-056.6 1756 1713 43.56% 24.70% 31.75%+0.32 +13.6 25
2018-12-02 Mariupol D 2-279.3 1698 1677 40.58% 24.82% 34.61%+0.07 -0.2 20
2018-12-02 @ Lviv D 2-279.3 1677 1698 34.61% 24.82% 40.58%-0.07 +0.2 24
2018-12-02 Olimpik Donetsk D 2-282.7 1982 1636 74.93% 16.61% 8.46%+2.08 -2.4 42
2018-12-02 @ Shakhtar Donetsk D 2-282.7 1636 1982 8.46% 16.61% 74.93%-2.08 +2.4 18
2018-12-03 Chernomorets Odesa W 2-047.2 1894 1550 74.73% 16.71% 8.56%+2.06 +3.8 35
2018-12-03 @ Dynamo Kyiv L 0-247.2 1550 1894 8.56% 16.71% 74.73%-2.06 -3.8 12
2018-12-03 Oleksandriya L 0-158.9 1729 1787 29.88% 24.57% 45.55%-0.41 -6.9 24
2018-12-03 @ Vorskla Poltava W 1-058.9 1787 1729 45.55% 24.57% 29.88%+0.41 +6.8 36
2018-12-07 Shakhtar Donetsk L 0-347.2 1677 1980 10.25% 18.18% 71.57%-1.93 -6.7 24
2018-12-07 @ Mariupol W 3-047.2 1980 1677 71.57% 18.18% 10.25%+1.93 +6.7 45
2018-12-08 Arsenal Kyiv W 3-050.1 1770 1606 58.50% 22.61% 18.89%+0.95 +12.6 28
2018-12-08 @ Zorya Luhansk L 0-350.1 1606 1770 18.89% 22.61% 58.50%-0.95 -12.6 8
2018-12-08 Dynamo Kyiv L 0-448.4 1657 1898 13.45% 20.31% 66.25%-1.54 -11.7 17
2018-12-08 @ Karpaty Lviv W 4-048.4 1898 1657 66.25% 20.31% 13.45%+1.54 +11.7 38
2018-12-08 Vorskla Poltava L 0-152.7 1547 1723 17.93% 22.29% 59.78%-1.14 -4.4 12
2018-12-08 @ Chernomorets Odesa W 1-052.7 1723 1547 59.78% 22.29% 17.93%+1.14 +4.4 27
2018-12-09 Desna Chernihiv D 1-172.6 1638 1700 29.31% 24.52% 46.17%-0.44 +0.8 19
2018-12-09 @ Olimpik Donetsk D 1-172.6 1700 1638 46.17% 24.52% 29.31%+0.44 -0.7 24
2018-12-09 Lviv L 1-271.6 1794 1697 50.59% 24.05% 25.36%+0.54 -9.8 36
2018-12-09 @ Oleksandriya W 2-171.6 1697 1794 25.36% 24.05% 50.59%-0.54 +9.8 23
2019-02-23 Chernomorets Odesa L 0-164.7 1707 1542 58.61% 22.58% 18.81%+0.96 -11.8 23
2019-02-23 @ Lviv W 1-064.7 1542 1707 18.81% 22.58% 58.61%-0.96 +11.8 15
2019-02-23 Olimpik Donetsk W 2-165.3 1670 1639 42.00% 24.77% 33.23%+0.14 +7.0 27
2019-02-23 @ Mariupol L 1-265.3 1639 1670 33.23% 24.77% 42.00%-0.14 -7.0 19
2019-02-24 Desna Chernihiv L 0-252.7 1593 1699 24.29% 23.88% 51.83%-0.71 -10.9 8
2019-02-24 @ Arsenal Kyiv W 2-052.7 1699 1593 51.83% 23.88% 24.29%+0.71 +10.9 27
2019-02-24 Karpaty Lviv L 0-459.4 1727 1645 48.80% 24.27% 26.93%+0.45 -36.1 27
2019-02-24 @ Vorskla Poltava W 4-059.4 1645 1727 26.93% 24.27% 48.80%-0.45 +36.1 20
2019-02-25 Oleksandriya W 2-051.5 1987 1784 62.56% 21.52% 15.92%+1.20 +7.3 48
2019-02-25 @ Shakhtar Donetsk L 0-251.5 1784 1987 15.92% 21.52% 62.56%-1.20 -7.3 36
2019-02-25 Zorya Luhansk W 5-052.5 1910 1782 54.42% 23.46% 22.12%+0.73 +23.4 41
2019-02-25 @ Dynamo Kyiv L 0-552.5 1782 1910 22.12% 23.46% 54.42%-0.73 -23.4 28
2019-03-02 Dynamo Kyiv L 1-260.2 1710 1933 14.57% 20.90% 64.53%-1.43 -3.3 27
2019-03-02 @ Desna Chernihiv W 2-160.2 1933 1710 64.53% 20.90% 14.57%+1.43 +3.4 44
2019-03-02 Shakhtar Donetsk L 0-148.3 1554 1994 5.55% 13.30% 81.16%-2.77 -1.2 15
2019-03-02 @ Chernomorets Odesa W 1-048.3 1994 1554 81.16% 13.30% 5.55%+2.77 +1.2 51
2019-03-03 Arsenal Kyiv L 0-160.4 1632 1582 44.53% 24.64% 30.83%+0.25 -9.3 19
2019-03-03 @ Olimpik Donetsk W 1-060.4 1582 1632 30.83% 24.64% 44.53%-0.25 +9.4 11
2019-03-03 Lviv L 0-160.0 1681 1695 35.54% 24.84% 39.63%-0.14 -7.9 20
2019-03-03 @ Karpaty Lviv W 1-060.0 1695 1681 39.63% 24.84% 35.54%+0.14 +7.9 26
2019-03-03 Mariupol D 1-173.6 1776 1677 50.99% 24.00% 25.02%+0.56 -1.2 37
2019-03-03 @ Oleksandriya D 1-173.6 1677 1776 25.02% 24.00% 50.99%-0.56 +1.2 28
2019-03-03 Vorskla Poltava W 3-054.1 1759 1691 46.96% 24.45% 28.59%+0.36 +18.1 31
2019-03-03 @ Zorya Luhansk L 0-354.1 1691 1759 28.59% 24.45% 46.96%-0.36 -18.1 27
2019-03-09 Chernomorets Odesa D 0-065.8 1678 1553 54.14% 23.51% 22.35%+0.72 -1.6 29
2019-03-09 @ Mariupol D 0-065.8 1553 1678 22.35% 23.51% 54.14%-0.72 +1.6 16
2019-03-09 Desna Chernihiv D 0-067.3 1673 1707 32.87% 24.75% 42.38%-0.26 +0.5 28
2019-03-09 @ Vorskla Poltava D 0-067.3 1707 1673 42.38% 24.75% 32.87%+0.26 -0.5 28
2019-03-09 Zorya Luhansk D 0-068.0 1703 1777 27.91% 24.38% 47.71%-0.51 +1.0 27
2019-03-09 @ Lviv D 0-068.0 1777 1703 47.71% 24.38% 27.91%+0.51 -1.0 32
2019-03-10 Arsenal Kyiv W 4-045.8 1937 1591 74.81% 16.67% 8.52%+2.07 +7.1 47
2019-03-10 @ Dynamo Kyiv L 0-445.8 1591 1937 8.52% 16.67% 74.81%-2.07 -7.1 11
2019-03-10 Karpaty Lviv W 5-046.9 1995 1673 73.05% 17.51% 9.44%+1.93 +9.8 54
2019-03-10 @ Shakhtar Donetsk L 0-546.9 1673 1995 9.44% 17.51% 73.05%-1.93 -9.8 20
2019-03-10 Olimpik Donetsk D 1-173.6 1775 1622 57.27% 22.89% 19.84%+0.89 -1.8 38
2019-03-10 @ Oleksandriya D 1-173.6 1622 1775 19.84% 22.89% 57.27%-0.89 +1.8 20
2019-03-16 Oleksandriya L 0-348.0 1555 1773 14.85% 21.03% 64.12%-1.40 -9.9 16
2019-03-16 @ Chernomorets Odesa W 3-048.0 1773 1555 64.12% 21.03% 14.85%+1.40 +9.9 41
2019-03-16 Shakhtar Donetsk L 0-153.4 1776 2005 14.20% 20.71% 65.09%-1.47 -3.5 32
2019-03-16 @ Zorya Luhansk W 1-053.4 2005 1776 65.09% 20.71% 14.20%+1.47 +3.5 57
2019-03-17 Dynamo Kyiv L 1-257.6 1624 1944 9.55% 17.59% 72.86%-2.03 -2.1 20
2019-03-17 @ Olimpik Donetsk W 2-157.6 1944 1624 72.86% 17.59% 9.55%+2.03 +2.1 50
2019-03-17 Lviv L 0-160.9 1706 1704 37.86% 24.86% 37.29%-0.04 -8.2 28
2019-03-17 @ Desna Chernihiv W 1-060.9 1704 1706 37.29% 24.86% 37.86%+0.04 +8.2 30
2019-03-17 Mariupol D 1-172.5 1663 1677 35.70% 24.84% 39.46%-0.14 +0.2 21
2019-03-17 @ Karpaty Lviv D 1-172.5 1677 1663 39.46% 24.84% 35.70%+0.14 -0.2 30
2019-03-18 Vorskla Poltava D 2-278.1 1584 1673 26.16% 24.17% 49.67%-0.60 +0.8 12
2019-03-18 @ Arsenal Kyiv D 2-278.1 1673 1584 49.67% 24.17% 26.16%+0.60 -0.8 29

Second Phase Game Log

Every second-phase (championship / middle / relegation round) game from each team's perspective, filtered by the team selected at the top of the tab; the table scrolls within its frame. Sort any column by clicking its header. @ before an opponent name indicates an away game. The final column is running points within the second phase only.

Date Opponent ScoreExcitement Pre Elo Opp Elo Win % Tie % Loss %Proj. Margin Elo Δ Points
2019-04-02 Vorskla Poltava W 4-056.2 1664 1672 36.31% 24.85% 38.84%-0.11 +30.1 3
2019-04-02 @ Karpaty Lviv L 0-456.2 1672 1664 38.84% 24.85% 36.31%+0.11 -30.1 0
2019-04-03 Dynamo Kyiv L 2-366.8 1772 1946 18.12% 22.36% 59.52%-1.12 -3.9 0
2019-04-03 @ Zorya Luhansk W 3-266.8 1946 1772 59.52% 22.36% 18.12%+1.12 +4.0 3
2019-04-03 Mariupol L 2-374.0 1712 1676 42.66% 24.74% 32.60%+0.17 -8.1 0
2019-04-03 @ Lviv W 3-274.0 1676 1712 32.60% 24.74% 42.66%-0.17 +8.1 3
2019-04-03 Shakhtar Donetsk L 0-153.5 1783 2009 14.45% 20.84% 64.71%-1.44 -3.5 0
2019-04-03 @ Oleksandriya W 1-053.5 2009 1783 64.71% 20.84% 14.45%+1.44 +3.5 3
2019-04-06 Arsenal Kyiv L 1-358.3 1545 1585 32.00% 24.71% 43.29%-0.31 -11.8 0
2019-04-06 @ Chernomorets Odesa W 3-158.3 1585 1545 43.29% 24.71% 32.00%+0.31 +11.8 3
2019-04-06 Desna Chernihiv L 0-254.2 1622 1698 27.63% 24.35% 48.02%-0.52 -12.1 0
2019-04-06 @ Olimpik Donetsk W 2-054.2 1698 1622 48.02% 24.35% 27.63%+0.52 +12.1 3
2019-04-13 Dynamo Kyiv L 0-152.3 1685 1950 12.12% 19.51% 68.36%-1.69 -2.9 3
2019-04-13 @ Mariupol W 1-052.3 1950 1685 68.36% 19.51% 12.12%+1.69 +2.9 6
2019-04-13 Oleksandriya L 1-264.8 1704 1780 27.69% 24.36% 47.96%-0.52 -6.1 0
2019-04-13 @ Lviv W 2-164.8 1780 1704 47.96% 24.36% 27.69%+0.52 +6.1 3
2019-04-13 Zorya Luhansk W 3-048.8 2012 1768 66.43% 20.24% 13.33%+1.45 +8.9 6
2019-04-13 @ Shakhtar Donetsk L 0-348.8 1768 2012 13.33% 20.24% 66.43%-1.45 -8.9 0
2019-04-14 Karpaty Lviv W 2-166.8 1710 1694 39.93% 24.83% 35.24%+0.05 +7.4 6
2019-04-14 @ Desna Chernihiv L 1-266.8 1694 1710 35.24% 24.83% 39.93%-0.05 -7.4 3
2019-04-14 Olimpik Donetsk D 1-169.0 1533 1610 27.49% 24.33% 48.17%-0.53 +0.9 1
2019-04-14 @ Chernomorets Odesa D 1-169.0 1610 1533 48.17% 24.33% 27.49%+0.53 -0.9 1
2019-04-14 Vorskla Poltava W 1-060.7 1597 1642 31.38% 24.67% 43.94%-0.34 +9.3 6
2019-04-14 @ Arsenal Kyiv L 0-160.7 1642 1597 43.94% 24.67% 31.38%+0.34 -9.2 0
2019-04-23 Arsenal Kyiv W 2-055.6 1609 1606 37.96% 24.86% 37.18%-0.04 +15.3 4
2019-04-23 @ Olimpik Donetsk L 0-255.6 1606 1609 37.18% 24.86% 37.96%+0.04 -15.3 6
2019-04-23 Chernomorets Odesa D 0-065.8 1686 1534 57.25% 22.89% 19.86%+0.88 -2.0 4
2019-04-23 @ Karpaty Lviv D 0-065.8 1534 1686 19.86% 22.89% 57.25%-0.88 +2.0 2
2019-04-23 Desna Chernihiv D 3-382.6 1633 1717 26.66% 24.23% 49.11%-0.58 +0.6 1
2019-04-23 @ Vorskla Poltava D 3-382.6 1717 1633 49.11% 24.23% 26.66%+0.58 -0.6 7
2019-04-24 Lviv W 2-165.2 1760 1698 46.09% 24.53% 29.39%+0.32 +6.4 3
2019-04-24 @ Zorya Luhansk L 1-265.2 1698 1760 29.39% 24.53% 46.09%-0.32 -6.4 0
2019-04-24 Mariupol W 2-163.6 1786 1682 51.60% 23.91% 24.48%+0.59 +5.5 6
2019-04-24 @ Oleksandriya L 1-263.6 1682 1786 24.48% 23.91% 51.60%-0.59 -5.5 3
2019-04-24 Shakhtar Donetsk D 0-068.5 1953 2021 28.55% 24.45% 47.00%-0.48 +0.9 7
2019-04-24 @ Dynamo Kyiv D 0-068.5 2021 1953 47.00% 24.45% 28.55%+0.48 -0.9 7
2019-04-27 Karpaty Lviv W 3-274.1 1624 1684 29.54% 24.54% 45.92%-0.43 +8.6 7
2019-04-27 @ Olimpik Donetsk L 2-374.1 1684 1624 45.92% 24.54% 29.54%+0.43 -8.6 4
2019-04-27 Vorskla Poltava L 1-260.1 1536 1634 25.15% 24.02% 50.83%-0.66 -5.6 2
2019-04-27 @ Chernomorets Odesa W 2-160.1 1634 1536 50.83% 24.02% 25.15%+0.66 +5.6 4
2019-04-28 Dynamo Kyiv L 0-152.4 1692 1954 12.31% 19.63% 68.05%-1.67 -3.0 0
2019-04-28 @ Lviv W 1-052.4 1954 1692 68.05% 19.63% 12.31%+1.67 +3.0 10
2019-04-28 Shakhtar Donetsk L 0-150.5 1676 2020 8.57% 16.72% 74.71%-2.17 -2.0 3
2019-04-28 @ Mariupol W 1-050.5 2020 1676 74.71% 16.72% 8.57%+2.17 +2.0 10
2019-04-28 Zorya Luhansk L 0-259.8 1791 1766 41.19% 24.80% 34.01%+0.10 -16.6 6
2019-04-28 @ Oleksandriya W 2-059.8 1766 1791 34.01% 24.80% 41.19%-0.10 +16.6 6
2019-04-29 Desna Chernihiv W 2-061.8 1591 1717 22.30% 23.50% 54.20%-0.83 +20.8 9
2019-04-29 @ Arsenal Kyiv L 0-261.8 1717 1591 54.20% 23.50% 22.30%+0.83 -20.8 7
2019-05-04 Lviv W 5-046.7 2022 1689 73.89% 17.11% 9.00%+2.00 +9.3 13
2019-05-04 @ Shakhtar Donetsk L 0-546.7 1689 2022 9.00% 17.11% 73.89%-2.00 -9.3 0
2019-05-04 Mariupol L 0-165.1 1783 1674 52.10% 23.84% 24.06%+0.61 -10.7 6
2019-05-04 @ Zorya Luhansk W 1-065.1 1674 1783 24.06% 23.84% 52.10%-0.61 +10.7 6
2019-05-04 Oleksandriya D 1-174.7 1957 1775 60.39% 22.13% 17.48%+1.06 -2.0 11
2019-05-04 @ Dynamo Kyiv D 1-174.7 1775 1957 17.48% 22.13% 60.39%-1.06 +2.0 7
2019-05-05 Arsenal Kyiv L 1-268.9 1676 1612 46.45% 24.50% 29.05%+0.34 -9.1 4
2019-05-05 @ Karpaty Lviv W 2-168.9 1612 1676 29.05% 24.50% 46.45%-0.34 +9.1 12
2019-05-05 Chernomorets Odesa L 2-471.4 1696 1530 58.71% 22.56% 18.73%+0.97 -17.3 7
2019-05-05 @ Desna Chernihiv W 4-271.4 1530 1696 18.73% 22.56% 58.71%-0.97 +17.3 5
2019-05-05 Vorskla Poltava D 1-171.7 1633 1639 36.65% 24.85% 38.49%-0.10 +0.1 8
2019-05-05 @ Olimpik Donetsk D 1-171.7 1639 1633 38.49% 24.85% 36.65%+0.10 -0.1 5
2019-05-11 Lviv W 2-057.6 1685 1680 38.31% 24.85% 36.84%-0.02 +15.2 9
2019-05-11 @ Mariupol L 0-257.6 1680 1685 36.84% 24.85% 38.31%+0.02 -15.2 0
2019-05-11 Oleksandriya W 2-159.4 2031 1777 67.40% 19.88% 12.72%+1.51 +2.9 16
2019-05-11 @ Shakhtar Donetsk L 1-259.4 1777 2031 12.72% 19.88% 67.40%-1.51 -2.9 7
2019-05-11 Zorya Luhansk D 1-174.7 1955 1772 60.49% 22.11% 17.40%+1.07 -2.0 12
2019-05-11 @ Dynamo Kyiv D 1-174.7 1772 1955 17.40% 22.11% 60.49%-1.07 +2.0 7
2019-05-12 Chernomorets Odesa D 3-379.5 1621 1547 47.71% 24.38% 27.91%+0.40 -0.5 13
2019-05-12 @ Arsenal Kyiv D 3-379.5 1547 1621 27.91% 24.38% 47.71%-0.40 +0.6 6
2019-05-12 Karpaty Lviv D 1-172.2 1639 1667 33.75% 24.79% 41.46%-0.22 +0.3 6
2019-05-12 @ Vorskla Poltava D 1-172.2 1667 1639 41.46% 24.79% 33.75%+0.22 -0.3 5
2019-05-12 Olimpik Donetsk W 2-164.7 1679 1633 44.00% 24.67% 31.33%+0.23 +6.7 10
2019-05-12 @ Desna Chernihiv L 1-264.7 1633 1679 31.33% 24.67% 44.00%-0.23 -6.7 8
2019-05-18 Arsenal Kyiv W 2-055.7 1640 1620 40.32% 24.82% 34.86%+0.06 +14.6 9
2019-05-18 @ Vorskla Poltava L 0-255.7 1620 1640 34.86% 24.82% 40.32%-0.06 -14.6 13
2019-05-18 Chernomorets Odesa W 2-160.9 1626 1548 48.33% 24.32% 27.35%+0.43 +6.0 11
2019-05-18 @ Olimpik Donetsk L 1-260.9 1548 1626 27.35% 24.32% 48.33%-0.43 -6.0 6
2019-05-18 Desna Chernihiv W 2-058.5 1666 1685 34.87% 24.82% 40.31%-0.17 +16.3 8
2019-05-18 @ Karpaty Lviv L 0-258.5 1685 1666 40.31% 24.82% 34.87%+0.17 -16.3 10
2019-05-18 Mariupol W 2-159.4 1953 1700 67.23% 19.94% 12.82%+1.50 +2.9 15
2019-05-18 @ Dynamo Kyiv L 1-259.4 1700 1953 12.82% 19.94% 67.23%-1.50 -2.9 9
2019-05-19 Lviv L 0-165.1 1774 1664 52.23% 23.82% 23.95%+0.62 -10.7 7
2019-05-19 @ Oleksandriya W 1-065.1 1664 1774 23.95% 23.82% 52.23%-0.62 +10.7 3
2019-05-19 Shakhtar Donetsk L 0-152.6 1774 2034 12.39% 19.68% 67.92%-1.66 -3.0 7
2019-05-19 @ Zorya Luhansk W 1-052.6 2034 1774 67.92% 19.68% 12.39%+1.66 +3.0 19
2019-05-21 Karpaty Lviv W 3-167.4 1542 1683 20.91% 23.17% 55.91%-0.92 +18.5 9
2019-05-21 @ Chernomorets Odesa L 1-367.4 1683 1542 55.91% 23.17% 20.91%+0.92 -18.5 8
2019-05-21 Olimpik Donetsk D 1-171.1 1606 1632 33.86% 24.79% 41.34%-0.22 +0.3 14
2019-05-21 @ Arsenal Kyiv D 1-171.1 1632 1606 41.34% 24.79% 33.86%+0.22 -0.3 12
2019-05-21 Vorskla Poltava L 0-160.7 1669 1654 39.71% 24.84% 35.45%+0.04 -8.6 10
2019-05-21 @ Desna Chernihiv W 1-060.7 1654 1669 35.45% 24.84% 39.71%-0.04 +8.5 12
2019-05-22 Dynamo Kyiv D 1-174.1 2037 1955 48.76% 24.27% 26.97%+0.45 -1.0 20
2019-05-22 @ Shakhtar Donetsk D 1-174.1 1955 2037 26.97% 24.27% 48.76%-0.45 +1.0 16
2019-05-22 Oleksandriya D 1-173.5 1697 1763 28.79% 24.47% 46.74%-0.46 +0.8 10
2019-05-22 @ Mariupol D 1-173.5 1763 1697 46.74% 24.47% 28.79%+0.46 -0.8 8
2019-05-22 Zorya Luhansk D 0-068.0 1675 1771 25.40% 24.06% 50.54%-0.65 +1.3 4
2019-05-22 @ Lviv D 0-068.0 1771 1675 50.54% 24.06% 25.40%+0.65 -1.3 8
2019-05-25 Arsenal Kyiv W 1-057.1 1661 1606 45.19% 24.59% 30.22%+0.28 +6.9 13
2019-05-25 @ Desna Chernihiv L 0-157.1 1606 1661 30.22% 24.59% 45.19%-0.28 -6.9 14
2019-05-25 Chernomorets Odesa L 1-269.1 1663 1560 51.36% 23.95% 24.69%+0.57 -9.9 12
2019-05-25 @ Vorskla Poltava W 2-169.1 1560 1663 24.69% 23.95% 51.36%-0.57 +9.9 12
2019-05-25 Olimpik Donetsk D 3-381.9 1664 1632 42.12% 24.76% 33.12%+0.14 -0.2 9
2019-05-25 @ Karpaty Lviv D 3-381.9 1632 1664 33.12% 24.76% 42.12%-0.14 +0.2 13
2019-05-26 Lviv W 2-158.6 1956 1676 69.63% 19.00% 11.36%+1.67 +2.6 19
2019-05-26 @ Dynamo Kyiv L 1-258.6 1676 1956 11.36% 19.00% 69.63%-1.67 -2.6 4
2019-05-26 Mariupol W 4-046.2 2036 1698 74.29% 16.92% 8.79%+2.03 +7.3 23
2019-05-26 @ Shakhtar Donetsk L 0-446.2 1698 2036 8.79% 16.92% 74.29%-2.03 -7.3 10
2019-05-26 Oleksandriya W 3-164.8 1770 1762 38.60% 24.85% 36.55%-0.01 +13.1 11
2019-05-26 @ Zorya Luhansk L 1-364.8 1762 1770 36.55% 24.85% 38.60%+0.01 -13.1 8
2019-05-29 Desna Chernihiv W 3-058.4 1570 1668 25.24% 24.03% 50.72%-0.65 +28.6 15
2019-05-29 @ Chernomorets Odesa L 0-358.4 1668 1570 50.72% 24.03% 25.24%+0.65 -28.6 13
2019-05-29 Karpaty Lviv L 2-368.4 1599 1664 28.97% 24.49% 46.54%-0.45 -6.0 14
2019-05-29 @ Arsenal Kyiv W 3-268.4 1664 1599 46.54% 24.49% 28.97%+0.45 +6.0 12
2019-05-29 Olimpik Donetsk D 2-278.4 1653 1632 40.51% 24.82% 34.68%+0.07 -0.2 13
2019-05-29 @ Vorskla Poltava D 2-278.4 1632 1653 34.68% 24.82% 40.51%-0.07 +0.2 14
2019-05-30 Dynamo Kyiv L 0-251.2 1749 1959 15.47% 21.32% 63.21%-1.35 -7.1 8
2019-05-30 @ Oleksandriya W 2-051.2 1959 1749 63.21% 21.32% 15.47%+1.35 +7.1 22
2019-05-30 Shakhtar Donetsk L 0-345.8 1674 2043 7.64% 15.79% 76.57%-2.33 -4.8 4
2019-05-30 @ Lviv W 3-045.8 2043 1674 76.57% 15.79% 7.64%+2.33 +4.8 26
2019-05-30 Zorya Luhansk W 3-168.5 1691 1783 25.80% 24.12% 50.09%-0.62 +16.8 13
2019-05-30 @ Mariupol L 1-368.5 1783 1691 50.09% 24.12% 25.80%+0.62 -16.8 11

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 2018-09-02 11.76% Karpaty Lviv 1633 2 @ Dynamo Kyiv 1905 0
2 2018-10-28 15.22% Lviv 1697 1 @ Dynamo Kyiv 1910 0
3 2019-05-05 18.73% Chernomorets Odesa 1530 4 @ Desna Chernihiv 1696 2
4 2019-02-23 18.81% Chernomorets Odesa 1542 1 @ Lviv 1707 0
5 2019-05-21 20.91% @ Chernomorets Odesa 1542 3 Karpaty Lviv 1683 1
6 2018-11-25 22.03% @ Oleksandriya 1776 2 Dynamo Kyiv 1905 1
7 2019-04-29 22.30% @ Arsenal Kyiv 1591 2 Desna Chernihiv 1717 0
8 2018-10-07 22.69% Arsenal Kyiv 1628 2 @ Vorskla Poltava 1750 0
9 2019-05-19 23.95% Lviv 1664 1 @ Oleksandriya 1774 0
10 2019-05-04 24.06% Mariupol 1674 1 @ Zorya Luhansk 1783 0
11 2018-07-29 24.12% @ Olimpik Donetsk 1630 1 Vorskla Poltava 1737 0
12 2019-05-25 24.69% Chernomorets Odesa 1560 2 @ Vorskla Poltava 1663 1
13 2019-05-29 25.24% @ Chernomorets Odesa 1570 3 Desna Chernihiv 1668 0
14 2018-12-09 25.36% Lviv 1697 2 @ Oleksandriya 1794 1
15 2019-05-30 25.80% @ Mariupol 1691 3 Zorya Luhansk 1783 1
16 2018-09-22 26.27% @ Mariupol 1671 1 Oleksandriya 1758 0
17 2019-02-24 26.93% Karpaty Lviv 1645 4 @ Vorskla Poltava 1727 0
18 2018-11-25 27.95% @ Chernomorets Odesa 1541 2 Arsenal Kyiv 1614 1
19 2018-11-24 28.01% @ Mariupol 1667 1 Vorskla Poltava 1739 0
20 2018-08-26 28.58% Desna Chernihiv 1671 2 @ Zorya Luhansk 1739 0
21 2018-10-20 28.61% @ Mariupol 1680 3 Zorya Luhansk 1748 2
22 2019-05-05 29.05% Arsenal Kyiv 1612 2 @ Karpaty Lviv 1676 1
23 2018-08-12 29.13% @ Chernomorets Odesa 1617 1 Desna Chernihiv 1681 0
24 2019-04-27 29.54% @ Olimpik Donetsk 1624 3 Karpaty Lviv 1684 2
25 2018-09-02 30.53% Olimpik Donetsk 1637 1 @ Desna Chernihiv 1689 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 2019-02-24 36.11 Karpaty Lviv 4 1645 26.93% @ Vorskla Poltava 0 1727 48.80% 24.27%
2 2018-09-02 32.48 Zorya Luhansk 5 1720 42.56% @ Arsenal Kyiv 0 1685 32.70% 24.75%
3 2018-10-28 31.47 Karpaty Lviv 5 1639 43.90% @ Chernomorets Odesa 0 1594 31.42% 24.68%
4 2019-04-02 30.06 @ Karpaty Lviv 4 1664 36.31% Vorskla Poltava 0 1672 38.84% 24.85%
5 2019-05-29 28.56 @ Chernomorets Odesa 3 1570 25.24% Desna Chernihiv 0 1668 50.72% 24.03%
6 2018-09-02 25.57 Karpaty Lviv 2 1633 11.76% @ Dynamo Kyiv 0 1905 68.98% 19.27%
7 2019-02-25 23.41 @ Dynamo Kyiv 5 1910 54.42% Zorya Luhansk 0 1782 22.12% 23.46%
8 2019-04-29 20.82 @ Arsenal Kyiv 2 1591 22.30% Desna Chernihiv 0 1717 54.20% 23.50%
9 2018-10-07 20.66 Arsenal Kyiv 2 1628 22.69% @ Vorskla Poltava 0 1750 53.73% 23.58%
10 2018-07-29 19.18 Desna Chernihiv 4 1675 36.90% @ Mariupol 1 1680 38.25% 24.85%
11 2019-05-21 18.52 @ Chernomorets Odesa 3 1542 20.91% Karpaty Lviv 1 1683 55.91% 23.17%
12 2018-08-26 18.43 Desna Chernihiv 2 1671 28.58% @ Zorya Luhansk 0 1739 46.97% 24.45%
13 2019-03-03 18.11 @ Zorya Luhansk 3 1759 46.96% Vorskla Poltava 0 1691 28.59% 24.45%
14 2019-05-05 17.29 Chernomorets Odesa 4 1530 18.73% @ Desna Chernihiv 2 1696 58.71% 22.56%
15 2019-05-30 16.85 @ Mariupol 3 1691 25.80% Zorya Luhansk 1 1783 50.09% 24.12%
16 2019-04-28 16.58 Zorya Luhansk 2 1766 34.01% @ Oleksandriya 0 1791 41.19% 24.80%
17 2019-05-18 16.30 @ Karpaty Lviv 2 1666 34.87% Desna Chernihiv 0 1685 40.31% 24.82%
18 2018-07-22 16.29 Lviv 2 1702 34.92% @ Arsenal Kyiv 0 1720 40.26% 24.82%
19 2018-10-27 16.17 @ Desna Chernihiv 2 1673 35.27% Mariupol 0 1689 39.90% 24.83%
20 2019-04-23 15.33 @ Olimpik Donetsk 2 1609 37.96% Arsenal Kyiv 0 1606 37.18% 24.86%
21 2019-05-11 15.22 @ Mariupol 2 1685 38.31% Lviv 0 1680 36.84% 24.85%
22 2018-10-07 15.09 Desna Chernihiv 3 1660 31.47% @ Lviv 1 1705 43.85% 24.68%
23 2018-09-23 14.64 @ Dynamo Kyiv 4 1878 61.35% Desna Chernihiv 0 1687 16.78% 21.87%
24 2019-05-18 14.59 @ Vorskla Poltava 2 1640 40.32% Arsenal Kyiv 0 1620 34.86% 24.82%
25 2018-08-25 14.50 @ Oleksandriya 2 1753 40.64% Vorskla Poltava 0 1731 34.55% 24.82%

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 2018-12-02 82.7 @ Shakhtar Donetsk 2 1982 74.93% Olimpik Donetsk 2 1636 8.46% 16.61%
2 2019-04-23 82.6 @ Vorskla Poltava 3 1633 26.66% Desna Chernihiv 3 1717 49.11% 24.23%
3 2019-05-25 81.9 @ Karpaty Lviv 3 1664 42.12% Olimpik Donetsk 3 1632 33.12% 24.76%
4 2018-09-02 80.0 @ Lviv 2 1698 28.38% Oleksandriya 2 1767 47.19% 24.43%
5 2019-05-12 79.5 @ Arsenal Kyiv 3 1621 47.71% Chernomorets Odesa 3 1547 27.91% 24.38%
6 2018-12-02 79.3 @ Lviv 2 1698 40.58% Mariupol 2 1677 34.61% 24.82%
7 2018-08-26 79.2 @ Mariupol 2 1663 32.67% Lviv 2 1698 42.59% 24.74%
8 2018-08-19 78.7 @ Desna Chernihiv 2 1671 42.01% Karpaty Lviv 2 1640 33.22% 24.77%
9 2018-08-05 78.4 @ Karpaty Lviv 2 1646 38.40% Olimpik Donetsk 2 1640 36.74% 24.85%
10 2019-05-29 78.4 @ Vorskla Poltava 2 1653 40.51% Olimpik Donetsk 2 1632 34.68% 24.82%
11 2019-03-18 78.1 @ Arsenal Kyiv 2 1584 26.16% Vorskla Poltava 2 1673 49.67% 24.17%
12 2018-08-25 75.4 @ Chernomorets Odesa 1 1628 11.33% Dynamo Kyiv 1 1908 69.69% 18.98%
13 2018-10-20 75.4 @ Mariupol 3 1680 28.61% Zorya Luhansk 2 1748 46.94% 24.45%
14 2018-10-07 75.1 @ Shakhtar Donetsk 1 1967 64.37% Zorya Luhansk 1 1745 14.68% 20.95%
15 2019-05-04 74.7 @ Dynamo Kyiv 1 1957 60.39% Oleksandriya 1 1775 17.48% 22.13%
16 2019-05-11 74.7 @ Dynamo Kyiv 1 1955 60.49% Zorya Luhansk 1 1772 17.40% 22.11%
17 2018-09-16 74.2 @ Zorya Luhansk 1 1753 22.19% Dynamo Kyiv 1 1880 54.34% 23.47%
18 2019-04-27 74.1 @ Olimpik Donetsk 3 1624 29.54% Karpaty Lviv 2 1684 45.92% 24.54%
19 2019-05-22 74.1 @ Shakhtar Donetsk 1 2037 48.76% Dynamo Kyiv 1 1955 26.97% 24.27%
20 2019-04-03 74.0 Mariupol 3 1676 32.60% @ Lviv 2 1712 42.66% 24.74%
21 2019-03-03 73.6 @ Oleksandriya 1 1776 50.99% Mariupol 1 1677 25.02% 24.00%
22 2019-03-10 73.6 @ Oleksandriya 1 1775 57.27% Olimpik Donetsk 1 1622 19.84% 22.89%
23 2018-11-04 73.5 @ Oleksandriya 1 1763 47.78% Desna Chernihiv 1 1689 27.85% 24.37%
24 2019-05-22 73.5 @ Mariupol 1 1697 28.79% Oleksandriya 1 1763 46.74% 24.47%
25 2018-11-25 73.4 @ Olimpik Donetsk 1 1634 22.57% Zorya Luhansk 1 1757 53.88% 23.55%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2019-03-10 45.8 @ Dynamo Kyiv 4 1937 74.81% Arsenal Kyiv 0 1591 8.52% 16.67%
2 2019-05-30 45.8 Shakhtar Donetsk 3 2043 76.57% @ Lviv 0 1674 7.64% 15.79%
3 2019-05-26 46.2 @ Shakhtar Donetsk 4 2036 74.29% Mariupol 0 1698 8.79% 16.92%
4 2018-09-23 46.3 @ Shakhtar Donetsk 3 1953 74.00% Chernomorets Odesa 0 1618 8.94% 17.06%
5 2018-10-27 46.6 Shakhtar Donetsk 3 1967 73.32% @ Arsenal Kyiv 0 1642 9.30% 17.38%
6 2019-05-04 46.7 @ Shakhtar Donetsk 5 2022 73.89% Lviv 0 1689 9.00% 17.11%
7 2019-03-10 46.9 @ Shakhtar Donetsk 5 1995 73.05% Karpaty Lviv 0 1673 9.44% 17.51%
8 2018-12-03 47.2 @ Dynamo Kyiv 2 1894 74.73% Chernomorets Odesa 0 1550 8.56% 16.71%
9 2018-12-07 47.2 Shakhtar Donetsk 3 1980 71.57% @ Mariupol 0 1677 10.25% 18.18%
10 2019-03-16 48.0 Oleksandriya 3 1773 64.12% @ Chernomorets Odesa 0 1555 14.85% 21.03%
11 2019-03-02 48.3 Shakhtar Donetsk 1 1994 81.16% @ Chernomorets Odesa 0 1554 5.55% 13.30%
12 2018-12-08 48.4 Dynamo Kyiv 4 1898 66.25% @ Karpaty Lviv 0 1657 13.45% 20.31%
13 2019-04-13 48.8 @ Shakhtar Donetsk 3 2012 66.43% Zorya Luhansk 0 1768 13.33% 20.24%
14 2018-11-04 49.0 Zorya Luhansk 3 1739 59.88% @ Chernomorets Odesa 0 1563 17.86% 22.27%
15 2018-09-28 49.2 Shakhtar Donetsk 6 1958 71.75% @ Karpaty Lviv 1 1653 10.15% 18.10%
16 2018-09-01 49.3 @ Shakhtar Donetsk 2 1939 69.31% Mariupol 0 1663 11.55% 19.13%
17 2018-11-11 49.3 @ Dynamo Kyiv 4 1892 63.40% Mariupol 0 1680 15.34% 21.26%
18 2018-07-29 49.6 @ Shakhtar Donetsk 3 1916 63.45% Arsenal Kyiv 0 1704 15.30% 21.25%
19 2018-09-23 49.9 @ Dynamo Kyiv 4 1878 61.35% Desna Chernihiv 0 1687 16.78% 21.87%
20 2018-12-08 50.1 @ Zorya Luhansk 3 1770 58.50% Arsenal Kyiv 0 1606 18.89% 22.61%
21 2019-04-28 50.5 Shakhtar Donetsk 1 2020 74.71% @ Mariupol 0 1676 8.57% 16.72%
22 2018-07-25 50.6 Shakhtar Donetsk 2 1910 64.98% @ Desna Chernihiv 0 1682 14.27% 20.75%
23 2018-11-11 50.6 Shakhtar Donetsk 2 1979 65.51% @ Vorskla Poltava 0 1746 13.93% 20.57%
24 2018-11-10 50.7 @ Desna Chernihiv 2 1690 55.72% Chernomorets Odesa 0 1551 21.06% 23.21%
25 2018-08-18 50.8 Shakhtar Donetsk 2 1927 64.46% @ Lviv 0 1705 14.62% 20.92%