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2018-19 Nemzeti Bajnokság I Season

198 games

Final

Champion

Ferencvaros

74 points · 30th Title

Last Title: 2015-16

Relegated

No relegation

Biggest Overachiever

Ferencvaros

11.26 points above expected

74 points · 62.74 expected points

Biggest Disappointment

Kisvarda

10.34 points below expected

38 points · 48.34 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 Ferencvaros Champion 33 23 5 5 74 72 27 +45 62.74 +11.26
2 MOL Vidi 33 18 7 8 61 53 37 +16 59.16 +1.84
3 Debrecen VSC 33 14 9 10 51 44 39 +5 46.64 +4.36
4 Honved 33 13 10 10 49 46 38 +8 47.61 +1.39
5 Ujpest 33 12 12 9 48 38 28 +10 46.99 +1.01
6 Mezokovesd 33 12 8 13 44 45 40 +5 39.98 +4.02
7 Puskas 33 11 7 15 40 36 45 -9 39.47 +0.53
8 Paks 33 9 12 12 39 33 46 -13 42.17 -3.17
9 Kisvarda 33 10 8 15 38 36 48 -12 48.34 -10.34
10 Diosgyor 33 10 8 15 38 36 57 -21 36.47 +1.53
11 MTK Budapest 33 10 4 19 34 42 56 -14 42.11 -8.11
12 Szombathelyi Haladas 33 8 6 19 30 31 51 -20 34.71 -4.71

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 Ferencvaros 74 62.74 +11.26
2 Debrecen VSC 51 46.64 +4.36
3 Mezokovesd 44 39.98 +4.02
4 MOL Vidi 61 59.16 +1.84
5 Diosgyor 38 36.47 +1.53

Biggest Disappointments

# Team Actual Sim vsSim
1 Kisvarda 38 48.34 -10.34
2 MTK Budapest 34 42.11 -8.11
3 Szombathelyi Haladas 30 34.71 -4.71
4 Paks 39 42.17 -3.17
5 Puskas 40 39.47 +0.53

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 Ferencvaros 8 Feb 23 – Apr 20 1 in 49
2 Szombathelyi Haladas 3 Mar 30 – Apr 13 1 in 27
3 Honved 4 Jul 21 – Aug 12 1 in 21
4 Debrecen VSC 3 Dec 1 – Dec 15 1 in 21
5 Paks 3 Sep 15 – Oct 6 1 in 15

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 MTK Budapest 7 Apr 6 – May 19 1 in 433
2 Diosgyor 6 Sep 15 – Nov 3 1 in 80
3 Szombathelyi Haladas 6 Sep 15 – Nov 3 1 in 77
4 MOL Vidi 2 Feb 2 – Feb 9 1 in 62
5 Kisvarda 4 Jul 21 – Aug 11 1 in 40

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Diosgyor 8 Nov 10 – Feb 16 1 in 108
2 Puskas 6 Apr 13 – May 19 1 in 88
3 Ujpest 9 Nov 24 – Mar 2 1 in 73
4 Paks 7 Aug 12 – Oct 6 1 in 34
5 Ferencvaros 10 Jul 22 – Oct 6 1 in 18

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Kisvarda 7 Sep 29 – Nov 24 1 in 38
2 Ujpest 6 Apr 13 – May 19 1 in 34
3 Szombathelyi Haladas 9 Aug 18 – Nov 3 1 in 20
4 Puskas 7 Jul 21 – Sep 1 1 in 18
5 MTK Budapest 7 Apr 6 – May 19 1 in 16

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
Ferencvaros 1593 74 +5 10 10.0 +0.0
MOL Vidi 1513 61 -15 5 8.9 -3.9
Debrecen VSC 1420 51 -2 7 7.2 -0.2
Honved 1441 49 +22 9 6.6 +2.4
Ujpest 1432 48 -32 2 8.0 -6.0
Mezokovesd 1386 44 +13 9 6.9 +2.1
Puskas 1360 40 +17 9 5.2 +3.8
Paks 1347 39 -2 7 6.1 +0.9
Diosgyor 1345 38 +21 10 5.5 +4.5
Kisvarda 1434 38 +8 9 7.5 +1.5
MTK Budapest 1333 34 -37 0 6.3 -6.3
Szombathelyi Haladas 1326 30 +3 5 4.9 +0.1

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 DV DIO FER HON KIS MV MB MEZ PAK PUS SH UJP
Debrecen VSC —
2-0-1
5.28
1-1-1
2.40
1-1-1
3.59
1-0-2
4.39
0-1-2
2.70
2-1-0
4.71
1-2-0
4.97
2-0-1
4.84
2-0-1
4.23
2-1-0
5.54
0-2-1
3.69
Diosgyor
1-0-2
3.00
—
0-0-3
2.16
1-1-1
2.86
0-3-0
2.98
2-0-1
2.58
1-0-2
3.20
0-1-2
3.54
2-1-0
4.17
1-1-1
4.20
1-1-1
4.66
1-0-2
3.53
Ferencvaros
1-1-1
5.96
3-0-0
6.23
—
2-0-1
5.14
3-0-0
5.07
1-1-1
4.77
3-0-0
5.24
3-0-0
5.76
2-1-0
6.16
1-1-1
5.89
2-0-1
6.62
2-1-0
5.80
Honved
1-1-1
4.67
1-1-1
5.45
1-0-2
3.14
—
2-1-0
3.57
0-0-3
3.63
2-1-0
4.31
1-1-1
4.58
2-1-0
5.09
1-1-1
4.54
2-0-1
5.65
0-3-0
3.83
Kisvarda
2-0-1
3.85
0-3-0
5.34
0-0-3
3.23
0-1-2
4.68
—
0-1-2
3.14
3-0-0
4.07
1-1-1
5.04
0-1-2
4.39
2-1-0
4.33
2-0-1
5.64
0-0-3
3.95
MOL Vidi
2-1-0
5.61
1-0-2
5.75
1-1-1
3.50
3-0-0
4.64
2-1-0
5.14
—
2-0-1
5.84
2-0-1
6.07
1-2-0
5.12
0-1-2
6.27
2-1-0
5.88
2-0-1
5.51
MTK Budapest
0-1-2
3.56
2-0-1
5.07
0-0-3
3.05
0-1-2
3.95
0-0-3
4.17
1-0-2
2.53
—
1-1-1
4.59
0-0-3
3.96
2-0-1
3.99
2-0-1
4.42
2-1-0
3.49
Mezokovesd
0-2-1
3.31
2-1-0
4.73
0-0-3
2.57
1-1-1
3.68
1-1-1
3.25
1-0-2
2.29
1-1-1
3.67
—
2-0-1
4.17
1-0-2
3.93
3-0-0
5.11
0-2-1
3.23
Paks
1-0-2
3.43
0-1-2
4.10
0-1-2
2.23
0-1-2
3.19
2-1-0
3.86
0-2-1
3.17
3-0-0
4.30
1-0-2
4.09
—
1-2-0
4.70
1-2-0
4.38
0-2-1
4.02
Puskas
1-0-2
4.03
1-1-1
4.06
1-1-1
2.44
1-1-1
3.72
0-1-2
3.92
2-1-0
2.12
1-0-2
4.28
2-0-1
4.32
0-2-1
3.57
—
1-0-2
4.28
1-0-2
3.16
Szombathelyi Haladas
0-1-2
2.76
1-1-1
3.60
1-0-2
1.83
1-0-2
2.68
1-0-2
2.69
0-1-2
2.47
1-0-2
3.85
0-0-3
3.17
0-2-1
3.91
2-0-1
3.98
—
1-1-1
3.46
Ujpest
1-2-0
4.58
2-0-1
4.74
0-1-2
2.55
0-3-0
4.44
3-0-0
4.31
1-0-2
2.79
0-1-2
4.80
1-2-0
5.06
1-2-0
4.24
2-0-1
5.14
1-1-1
4.82
—

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 0.85 +10.1
Allowed 0.66 -10.3
Differential 0.92 +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
04.55%11.62%5.05%3.28%1.52%0.51%26.52%
111.62%13.13%8.33%2.53%2.27%—37.88%
25.05%8.33%5.56%2.27%0.51%—21.72%
33.28%2.53%2.27%0.51%——8.59%
41.52%2.27%0.51%—0.51%—4.80%
5+0.51%—————0.51%
Total26.52%37.88%21.72%8.59%4.80%0.51%100%

Summary Statistics

Scored Allowed Difference
Mean 1.29 1.29 +0.00
SD 1.14 1.14 1.72
CV 0.88 0.88 —
Max 7 7 +7
Min 0 0 -7

Games Played: 198

↓ Scored | Allowed →012345+Total
03.03%9.09%3.03%6.06%——21.21%
112.12%15.15%9.09%3.03%——39.39%
29.09%12.12%6.06%———27.27%
3—6.06%—3.03%——9.09%
4—3.03%————3.03%
5+———————
Total24.24%45.45%18.18%12.12%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.33 1.18 +0.15
SD 1.02 0.95 1.46
CV 0.77 0.80 —
Max 4 3 +3
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%15.15%3.03%3.03%—6.06%30.30%
112.12%15.15%9.09%—6.06%—42.42%
2—12.12%3.03%—3.03%—18.18%
33.03%—3.03%———6.06%
4————3.03%—3.03%
5+———————
Total18.18%42.42%18.18%3.03%12.12%6.06%100%

Summary Statistics

Scored Allowed Difference
Mean 1.09 1.73 -0.64
SD 1.01 1.64 1.95
CV 0.93 0.95 —
Max 4 7 +3
Min 0 0 -7

Games Played: 33

↓ Scored | Allowed →012345+Total
0—6.06%————6.06%
115.15%9.09%6.06%———30.30%
212.12%9.09%6.06%3.03%——30.30%
36.06%6.06%3.03%———15.15%
43.03%12.12%————15.15%
5+3.03%—————3.03%
Total39.39%42.42%15.15%3.03%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.18 0.82 +1.36
SD 1.45 0.81 1.73
CV 0.66 0.99 —
Max 7 3 +7
Min 0 0 -1

Games Played: 33

↓ Scored | Allowed →012345+Total
09.09%12.12%6.06%3.03%——30.30%
112.12%12.12%3.03%6.06%——33.33%
2—6.06%6.06%———12.12%
39.09%—6.06%———15.15%
43.03%3.03%——3.03%—9.09%
5+———————
Total33.33%33.33%21.21%9.09%3.03%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.39 1.15 +0.24
SD 1.32 1.09 1.66
CV 0.95 0.95 —
Max 4 4 +4
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%12.12%6.06%3.03%6.06%—30.30%
115.15%15.15%9.09%3.03%6.06%—48.48%
2—3.03%6.06%———9.09%
33.03%3.03%————6.06%
43.03%3.03%————6.06%
5+———————
Total24.24%36.36%21.21%6.06%12.12%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.09 1.45 -0.36
SD 1.10 1.28 1.92
CV 1.01 0.88 —
Max 4 4 +4
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
0—3.03%3.03%6.06%——12.12%
118.18%12.12%9.09%—3.03%—42.42%
26.06%12.12%9.09%———27.27%
33.03%6.06%————9.09%
46.06%—3.03%———9.09%
5+———————
Total33.33%33.33%24.24%6.06%3.03%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.61 1.12 +0.48
SD 1.12 1.05 1.75
CV 0.70 0.94 —
Max 4 4 +4
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%21.21%3.03%3.03%——30.30%
16.06%3.03%6.06%9.09%6.06%—30.30%
23.03%9.09%3.03%6.06%3.03%—24.24%
33.03%—6.06%3.03%——12.12%
43.03%—————3.03%
5+———————
Total18.18%33.33%18.18%21.21%9.09%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.27 1.70 -0.42
SD 1.13 1.26 1.66
CV 0.88 0.74 —
Max 4 4 +4
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%15.15%3.03%———21.21%
19.09%12.12%12.12%3.03%——36.36%
29.09%6.06%9.09%6.06%——30.30%
33.03%6.06%————9.09%
4——3.03%———3.03%
5+———————
Total24.24%39.39%27.27%9.09%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.36 1.21 +0.15
SD 1.03 0.93 1.33
CV 0.75 0.77 —
Max 4 3 +3
Min 0 0 -2

Games Played: 33

↓ Scored | Allowed →012345+Total
012.12%6.06%6.06%9.09%3.03%—36.36%
16.06%21.21%6.06%3.03%3.03%—39.39%
2—12.12%3.03%———15.15%
33.03%—3.03%———6.06%
4—3.03%————3.03%
5+———————
Total21.21%42.42%18.18%12.12%6.06%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.00 1.39 -0.39
SD 1.03 1.14 1.66
CV 1.03 0.82 —
Max 4 4 +3
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%12.12%6.06%3.03%6.06%—30.30%
112.12%12.12%12.12%———36.36%
29.09%6.06%6.06%6.06%——27.27%
33.03%—3.03%———6.06%
4———————
5+———————
Total27.27%30.30%27.27%9.09%6.06%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.09 1.36 -0.27
SD 0.91 1.17 1.63
CV 0.84 0.86 —
Max 3 4 +3
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
0—15.15%18.18%—3.03%—36.36%
19.09%15.15%12.12%3.03%3.03%—42.42%
2—6.06%3.03%3.03%——12.12%
33.03%3.03%3.03%———9.09%
4———————
5+———————
Total12.12%39.39%36.36%6.06%6.06%—100%

Summary Statistics

Scored Allowed Difference
Mean 0.94 1.55 -0.61
SD 0.93 1.00 1.48
CV 0.99 0.65 —
Max 3 4 +3
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
015.15%12.12%3.03%3.03%——33.33%
112.12%15.15%6.06%———33.33%
212.12%6.06%6.06%3.03%——27.27%
3———————
4—3.03%————3.03%
5+3.03%—————3.03%
Total42.42%36.36%15.15%6.06%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.15 0.85 +0.30
SD 1.18 0.91 1.51
CV 1.02 1.07 —
Max 5 3 +5
Min 0 0 -3

Games Played: 33

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
Ferencvaros 1593 74 62.74 +11.26 96.0% 44 50 58 63 67 74 83
MOL Vidi 1513 61 59.16 +1.84 65.0% 35 49 54 59 64 70 79
Honved 1441 49 47.61 +1.39 56.0% 29 35 41 48 53 60 66
Kisvarda 1434 38 48.34 -10.34 7.0% 28 36 44 48 53 60 64
Ujpest 1432 48 46.99 +1.01 57.0% 27 36 41 47 53 60 67
Debrecen VSC 1420 51 46.64 +4.36 73.0% 29 35 42 46 52 58 66
Mezokovesd 1386 44 39.98 +4.02 75.0% 24 29 35 40 44 50 59
Puskas 1360 40 39.47 +0.53 54.0% 23 29 34 40 43 51 55
Paks 1347 39 42.17 -3.17 36.0% 27 33 37 42 46 53 59
Diosgyor 1345 38 36.47 +1.53 63.0% 16 24 31 36 41 49 57
MTK Budapest 1333 34 42.11 -8.11 17.0% 17 29 37 42 48 54 56
Szombathelyi Haladas 1326 30 34.71 -4.71 30.0% 19 23 29 35 40 45 48

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 14.5% * Slight Edge: 14.5% to 20.5% * Clear Edge: 20.5% to 27% * Strong Edge: 27% 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
+26.26%
Clear Edge
51.01%24.24%24.75%
Elo Value
Home Edge
203 Elo
0.005 goals per Elo point
093.43600
Scoring Tilt
Expected
+0.45 goals
Neutral
-2+0.46+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 0.08 * Tight Race: 0.08 to 0.15 * Comfortable: 0.15 to 0.27 * Runaway: 0.27 and up.
Title-Race Openness
2.3
Top-Heavy
123410
Champion Preseason Odds
58%
Ferencvaros, 1st of 12
LongshotFavorite
Title Margin
Expected
0.39/gm
Runaway
00.210.6/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 5.78 * Some Luck: 5.78 to 8.66 * Lucky: 8.66 to 11.55 * Wild Swing: 11.55 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 1.58 * Close: 1.58 to 2.37 * Off: 2.37 to 3.17 * Way Off: 3.17 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
5.60 points
As Expected
07.2218
Average Finish Error
Expected
1.67
Close
01.984
Biggest Overachiever
Expected 95.83%
96.00%
Ferencvaros
50100
Biggest Underachiever
Expected 4.17%
7.00%
Kisvarda
050
Season Outliers
Expected
1 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 0.15 * Even: 0.15 to 0.17 * Top-Heavy: 0.17 to 0.21 * Lopsided: 0.21 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 1.6 * Moderate Separation: 1.6 to 1.85 * Strong Separation: 1.85 to 2.15 * Wide Separation: 2.15 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 65.5% * Slight Edge: 65.5% to 71% * Clear Edge: 71% to 75.5% * Wide Edge: 75.5% 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 88.5% * Clear Edge: 88.5% to 92.5% * Strong Edge: 92.5% to 96.5% * Dominant: 96.5% 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 50% * Some Drama: 50% to 59.5% * Frequent: 59.5% to 63.5% * Very Frequent: 63.5% 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 15.5% * Occasional: 15.5% to 20% * Frequent: 20% to 30% * Very Frequent: 30% and up.
Gini Index
0.14
Balanced
00.150.210.5
Noll-Scully
Elo SD: 80.07
1.62
Moderate Separation
11.61.852.152.75
Interquartile Edge
63%
Even
50%65.5%75.5%100%
Best vs. Worst
Baseline
82%
Even
50%83%100%
Close Games
Expected
69%
Very Frequent
0%62%100%
Blowouts
Expected
15%
Rare
0%15%100%

Predictability

How these are measured

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

Brier Score
How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance
How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.4 * Slight Separation: 0.4 to 0.47 * Notable Separation: 0.47 to 0.53 * Lopsided: 0.53 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 0.45 * Some Carryover: 0.45 to 0.59 * Strong Carryover: 0.59 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 18% * As Expected: 18% to 21% * Upset-Prone: 21% to 24% * Very Upset-Prone: 24% 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 18.5% * Shaky Favorites: 18.5% to 21% * Very Shaky: 21% and up.
Brier Score
Expected
0.60
Predictable
00.602
Matchup Imbalance
0.35
Very Even
00.40.5
Strangeness
Expected
0.60
Very Predictable
01.002
Repeatability
0.54
Some Carryover
00.450.590.721
Upset Rate
Expected
23%
Upset-Prone
0%25%50%
Clear Favorite Upset Rate
Expected
18%
As Expected
0%22%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 0.17 * Above Noise: 0.17 to 0.22 * Well Above Noise: 0.22 and up.
Probability calibration
0.60
Excellent
0.010.050.10.51
Calibration slope
Ideal
0.99
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.081
Well Within Noise
00.1120.25

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
Ferencvaros58.00%24.00%9.00%4.00%1.00%3.00%1.00%—————
MOL Vidi30.00%35.00%26.00%5.00%1.00%2.00%——1.00%———
Debrecen VSC1.00%8.00%10.00%13.00%17.00%14.00%10.00%9.00%3.00%11.00%3.00%1.00%
Honved4.00%9.00%13.00%17.00%10.00%11.00%8.00%9.00%9.00%5.00%3.00%2.00%
Ujpest3.00%9.00%14.00%11.00%16.00%9.00%15.00%5.00%8.00%4.00%4.00%2.00%
Mezokovesd——3.00%6.00%6.00%10.00%13.00%13.00%12.00%14.00%11.00%12.00%
Puskas—1.00%2.00%2.00%8.00%9.00%10.00%18.00%7.00%15.00%17.00%11.00%
Paks—2.00%5.00%10.00%7.00%9.00%16.00%10.00%13.00%14.00%10.00%4.00%
Kisvarda4.00%10.00%12.00%19.00%11.00%13.00%11.00%9.00%5.00%2.00%3.00%1.00%
Diosgyor—1.00%1.00%2.00%8.00%4.00%2.00%10.00%15.00%12.00%20.00%25.00%
MTK Budapest—1.00%5.00%11.00%12.00%11.00%10.00%6.00%14.00%9.00%11.00%10.00%
Szombathelyi Haladas————3.00%5.00%4.00%11.00%13.00%14.00%18.00%32.00%

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 Direct relegation
Ferencvaros 100% —
MOL Vidi 100% —
Debrecen VSC 96.00% 4.00%
Kisvarda 96.00% 4.00%
Honved 95.00% 5.00%
Ujpest 94.00% 6.00%
Paks 86.00% 14.00%
MTK Budapest 79.00% 21.00%
Mezokovesd 77.00% 23.00%
Puskas 72.00% 28.00%
Diosgyor 55.00% 45.00%
Szombathelyi Haladas 50.00% 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
2018-07-21 Debrecen VSC L 0-146.6 1374 1404 46.09% 25.17% 28.74%+0.31 -7.2 0
2018-07-21 @ Puskas W 1-046.6 1404 1374 28.74% 25.17% 46.09%-0.31 +7.2 3
2018-07-21 Kisvarda W 4-042.0 1501 1502 49.93% 24.59% 25.48%+0.46 +16.0 3
2018-07-21 @ MOL Vidi L 0-442.0 1502 1501 25.48% 24.59% 49.93%-0.46 -16.0 0
2018-07-21 Paks W 3-143.9 1348 1389 44.52% 25.34% 30.13%+0.26 +8.4 3
2018-07-21 @ Mezokovesd L 1-343.9 1389 1348 30.13% 25.34% 44.52%-0.26 -8.4 0
2018-07-21 Szombathelyi Haladas W 3-249.6 1414 1359 56.69% 23.01% 20.30%+0.73 +3.2 3
2018-07-21 @ Honved L 2-349.6 1359 1414 20.30% 23.01% 56.69%-0.73 -3.2 0
2018-07-22 Diosgyor W 4-138.1 1488 1371 63.75% 20.60% 15.65%+1.04 +6.4 3
2018-07-22 @ Ferencvaros L 1-438.1 1371 1488 15.65% 20.60% 63.75%-1.04 -6.4 0
2018-07-22 MTK Budapest L 0-244.7 1400 1381 52.39% 24.10% 23.51%+0.55 -15.0 0
2018-07-22 @ Ujpest W 2-044.7 1381 1400 23.51% 24.10% 52.39%-0.55 +15.0 3
2018-07-28 Mezokovesd D 1-156.8 1411 1357 56.68% 23.02% 20.31%+0.73 -1.2 4
2018-07-28 @ Debrecen VSC D 1-156.8 1357 1411 20.31% 23.02% 56.68%-0.73 +1.2 4
2018-07-28 Paks D 1-161.1 1517 1381 65.72% 19.80% 14.48%+1.13 -1.8 4
2018-07-28 @ MOL Vidi D 1-161.1 1381 1517 14.48% 19.80% 65.72%-1.13 +1.8 1
2018-07-28 Puskas D 2-262.0 1364 1367 49.67% 24.64% 25.69%+0.45 -0.6 1
2018-07-28 @ Diosgyor D 2-262.0 1367 1364 25.69% 24.64% 49.67%-0.45 +0.6 1
2018-07-29 Ferencvaros L 1-446.9 1396 1494 36.45% 25.70% 37.85%-0.02 -13.8 3
2018-07-29 @ MTK Budapest W 4-146.9 1494 1396 37.85% 25.70% 36.45%+0.02 +13.8 6
2018-07-29 Kisvarda W 4-041.2 1417 1485 40.68% 25.62% 33.70%+0.12 +20.2 6
2018-07-29 @ Honved L 0-441.2 1485 1417 33.70% 25.62% 40.68%-0.12 -20.1 0
2018-07-29 Ujpest D 2-262.0 1356 1385 46.20% 25.16% 28.64%+0.32 -0.4 1
2018-07-29 @ Szombathelyi Haladas D 2-262.0 1385 1356 28.64% 25.16% 46.20%-0.32 +0.4 1
2018-08-04 Diosgyor W 2-034.9 1410 1364 55.69% 23.29% 21.02%+0.68 +7.1 7
2018-08-04 @ Debrecen VSC L 0-234.9 1364 1410 21.02% 23.29% 55.69%-0.68 -7.1 1
2018-08-04 MTK Budapest L 1-252.8 1368 1382 48.06% 24.90% 27.04%+0.39 -7.0 1
2018-08-04 @ Puskas W 2-152.8 1382 1368 27.04% 24.90% 48.06%-0.39 +7.0 6
2018-08-04 Szombathelyi Haladas W 3-139.9 1508 1356 67.38% 19.08% 13.54%+1.21 +3.9 9
2018-08-04 @ Ferencvaros L 1-339.9 1356 1508 13.54% 19.08% 67.38%-1.21 -3.9 1
2018-08-05 Kisvarda W 1-045.2 1385 1465 39.07% 25.68% 35.24%+0.07 +5.8 4
2018-08-05 @ Ujpest L 0-145.2 1465 1385 35.24% 25.68% 39.07%-0.07 -5.8 0
2018-08-05 Paks W 1-039.1 1437 1383 56.69% 23.01% 20.30%+0.73 +3.6 9
2018-08-05 @ Honved L 0-139.1 1383 1437 20.30% 23.01% 56.69%-0.73 -3.6 1
2018-08-10 Debrecen VSC D 1-161.8 1515 1417 61.75% 21.36% 16.89%+0.95 -1.6 5
2018-08-10 @ MOL Vidi D 1-161.8 1417 1515 16.89% 21.36% 61.75%-0.95 +1.6 8
2018-08-11 Diosgyor W 1-038.4 1389 1357 54.09% 23.70% 22.20%+0.62 +4.0 9
2018-08-11 @ MTK Budapest L 0-138.4 1357 1389 22.20% 23.70% 54.09%-0.62 -4.0 1
2018-08-11 Ferencvaros L 0-248.0 1460 1512 42.93% 25.48% 31.58%+0.20 -12.8 0
2018-08-11 @ Kisvarda W 2-048.0 1512 1460 31.58% 25.48% 42.93%-0.20 +12.8 12
2018-08-11 Puskas W 2-145.6 1352 1361 48.87% 24.77% 26.36%+0.42 +4.3 4
2018-08-11 @ Szombathelyi Haladas L 1-245.6 1361 1352 26.36% 24.77% 48.87%-0.42 -4.3 1
2018-08-12 Honved L 0-145.0 1358 1441 38.70% 25.69% 35.61%+0.05 -6.2 4
2018-08-12 @ Mezokovesd W 1-045.0 1441 1358 35.61% 25.69% 38.70%-0.05 +6.2 12
2018-08-12 Ujpest D 1-156.3 1379 1391 48.43% 24.84% 26.73%+0.40 -0.7 2
2018-08-12 @ Paks D 1-156.3 1391 1379 26.73% 24.84% 48.43%-0.40 +0.7 5
2018-08-17 MTK Budapest D 3-367.5 1418 1393 53.15% 23.93% 22.92%+0.58 -0.6 9
2018-08-17 @ Debrecen VSC D 3-367.5 1393 1418 22.92% 23.93% 53.15%-0.58 +0.6 10
2018-08-18 MOL Vidi L 0-345.3 1447 1514 40.95% 25.61% 33.44%+0.13 -17.9 12
2018-08-18 @ Honved W 3-045.3 1514 1447 33.44% 25.61% 40.95%-0.13 +17.9 8
2018-08-18 Kisvarda D 1-156.7 1356 1447 37.56% 25.70% 36.74%+0.01 -0.0 2
2018-08-18 @ Puskas D 1-156.7 1447 1356 36.74% 25.70% 37.56%-0.01 +0.0 1
2018-08-18 Mezokovesd D 1-156.2 1392 1352 55.02% 23.47% 21.51%+0.66 -1.2 6
2018-08-18 @ Ujpest D 1-156.2 1352 1392 21.51% 23.47% 55.02%-0.66 +1.2 5
2018-08-18 Paks D 1-161.4 1525 1378 66.77% 19.35% 13.88%+1.18 -1.9 13
2018-08-18 @ Ferencvaros D 1-161.4 1378 1525 13.88% 19.35% 66.77%-1.18 +1.9 3
2018-08-18 Szombathelyi Haladas W 1-039.2 1353 1356 49.54% 24.66% 25.80%+0.44 +4.5 4
2018-08-18 @ Diosgyor L 0-139.2 1356 1353 25.80% 24.66% 49.54%-0.44 -4.5 4
2018-08-25 Debrecen VSC W 3-036.2 1429 1418 51.46% 24.30% 24.25%+0.52 +11.7 15
2018-08-25 @ Honved L 0-336.2 1418 1429 24.25% 24.30% 51.46%-0.52 -11.7 9
2018-08-25 Diosgyor D 1-157.9 1447 1357 60.74% 21.72% 17.54%+0.90 -1.5 2
2018-08-25 @ Kisvarda D 1-157.9 1357 1447 17.54% 21.72% 60.74%-0.90 +1.5 5
2018-08-25 Ferencvaros L 0-143.3 1353 1523 27.26% 24.94% 47.80%-0.38 -4.8 5
2018-08-25 @ Mezokovesd W 1-043.3 1523 1353 47.80% 24.94% 27.26%+0.38 +4.8 16
2018-08-25 MTK Budapest L 1-251.7 1352 1394 44.37% 25.36% 30.27%+0.25 -6.5 4
2018-08-25 @ Szombathelyi Haladas W 2-151.7 1394 1352 30.27% 25.36% 44.37%-0.25 +6.5 13
2018-08-25 Puskas W 3-250.0 1380 1356 53.06% 23.95% 22.99%+0.58 +3.7 6
2018-08-25 @ Paks L 2-350.0 1356 1380 22.99% 23.95% 53.06%-0.58 -3.7 2
2018-09-01 Honved D 0-052.4 1391 1441 43.30% 25.46% 31.25%+0.21 -0.4 7
2018-09-01 @ Ujpest D 0-052.4 1441 1391 31.25% 25.46% 43.30%-0.21 +0.4 16
2018-09-01 Kisvarda L 0-147.6 1400 1445 44.01% 25.39% 30.60%+0.24 -6.9 13
2018-09-01 @ MTK Budapest W 1-047.6 1445 1400 30.60% 25.39% 44.01%-0.24 +6.9 5
2018-09-01 Paks D 0-050.7 1359 1384 46.68% 25.09% 28.23%+0.34 -0.7 6
2018-09-01 @ Diosgyor D 0-050.7 1384 1359 28.23% 25.09% 46.68%-0.34 +0.7 7
2018-09-01 Puskas W 2-035.6 1348 1352 49.43% 24.68% 25.89%+0.44 +8.6 8
2018-09-01 @ Mezokovesd L 0-235.6 1352 1348 25.89% 24.68% 49.43%-0.44 -8.6 2
2018-09-01 Szombathelyi Haladas D 1-156.6 1406 1345 57.45% 22.79% 19.76%+0.76 -1.3 10
2018-09-01 @ Debrecen VSC D 1-156.6 1345 1406 19.76% 22.79% 57.45%-0.76 +1.3 5
2018-09-02 MOL Vidi D 2-271.8 1528 1532 49.51% 24.66% 25.83%+0.44 -0.6 17
2018-09-02 @ Ferencvaros D 2-271.8 1532 1528 25.83% 24.66% 49.51%-0.44 +0.6 9
2018-09-15 Debrecen VSC W 1-041.1 1390 1404 48.14% 24.89% 26.97%+0.39 +4.7 10
2018-09-15 @ Ujpest L 0-141.1 1404 1390 26.97% 24.89% 48.14%-0.39 -4.7 10
2018-09-15 Diosgyor W 4-245.7 1357 1358 49.81% 24.61% 25.58%+0.45 +6.6 11
2018-09-15 @ Mezokovesd L 2-445.7 1358 1357 25.58% 24.61% 49.81%-0.45 -6.6 6
2018-09-15 MOL Vidi W 2-156.3 1344 1532 25.29% 24.55% 50.16%-0.47 +7.2 5
2018-09-15 @ Puskas L 1-256.3 1532 1344 50.16% 24.55% 25.29%+0.47 -7.2 9
2018-09-15 Ferencvaros L 0-150.0 1441 1527 38.21% 25.70% 36.09%+0.04 -6.2 16
2018-09-15 @ Honved W 1-050.0 1527 1441 36.09% 25.70% 38.21%-0.04 +6.2 20
2018-09-15 MTK Budapest W 3-035.4 1385 1394 48.84% 24.78% 26.38%+0.42 +12.6 10
2018-09-15 @ Paks L 0-335.4 1394 1385 26.38% 24.78% 48.84%-0.42 -12.6 13
2018-09-15 Szombathelyi Haladas W 4-137.0 1452 1346 62.52% 21.07% 16.40%+0.98 +6.8 8
2018-09-15 @ Kisvarda L 1-437.0 1346 1452 16.40% 21.07% 62.52%-0.98 -6.8 5
2018-09-26 Mezokovesd W 3-140.4 1525 1363 68.28% 18.68% 13.04%+1.25 +3.7 12
2018-09-26 @ MOL Vidi L 1-340.4 1363 1525 13.04% 18.68% 68.28%-1.25 -3.7 11
2018-09-29 Honved W 1-043.8 1351 1435 38.53% 25.69% 35.78%+0.05 +5.9 8
2018-09-29 @ Puskas L 0-143.8 1435 1351 35.78% 25.69% 38.53%-0.05 -5.9 16
2018-09-29 Kisvarda W 3-147.4 1400 1459 42.02% 25.55% 32.43%+0.17 +8.9 13
2018-09-29 @ Debrecen VSC L 1-347.4 1459 1400 32.43% 25.55% 42.02%-0.17 -8.9 8
2018-09-29 Mezokovesd D 2-262.3 1381 1360 52.70% 24.03% 23.27%+0.56 -0.8 14
2018-09-29 @ MTK Budapest D 2-262.3 1360 1381 23.27% 24.03% 52.70%-0.56 +0.8 12
2018-09-29 Paks L 1-251.0 1340 1397 42.24% 25.53% 32.23%+0.18 -6.3 5
2018-09-29 @ Szombathelyi Haladas W 2-151.0 1397 1340 32.23% 25.53% 42.24%-0.18 +6.3 13
2018-09-29 Ujpest W 1-039.6 1533 1395 65.95% 19.70% 14.35%+1.14 +2.5 23
2018-09-29 @ Ferencvaros L 0-139.6 1395 1533 14.35% 19.70% 65.95%-1.14 -2.5 10
2018-09-30 MOL Vidi L 0-143.2 1352 1529 26.49% 24.80% 48.71%-0.41 -4.6 6
2018-09-30 @ Diosgyor W 1-043.2 1529 1352 48.71% 24.80% 26.49%+0.41 +4.6 15
2018-10-06 Debrecen VSC D 2-268.9 1536 1409 64.80% 20.18% 15.02%+1.09 -1.3 24
2018-10-06 @ Ferencvaros D 2-268.9 1409 1536 15.02% 20.18% 64.80%-1.09 +1.3 14
2018-10-06 Diosgyor W 1-037.2 1429 1347 59.92% 22.00% 18.08%+0.86 +3.2 19
2018-10-06 @ Honved L 0-137.2 1347 1429 18.08% 22.00% 59.92%-0.86 -3.2 6
2018-10-06 Kisvarda W 4-144.0 1404 1450 43.79% 25.41% 30.79%+0.23 +12.1 16
2018-10-06 @ Paks L 1-444.0 1450 1404 30.79% 25.41% 43.79%-0.23 -12.1 8
2018-10-06 Puskas W 2-034.8 1392 1357 54.44% 23.62% 21.94%+0.63 +7.4 13
2018-10-06 @ Ujpest L 0-234.8 1357 1392 21.94% 23.62% 54.44%-0.63 -7.4 8
2018-10-06 Szombathelyi Haladas W 2-034.3 1360 1333 53.40% 23.87% 22.73%+0.59 +7.6 15
2018-10-06 @ Mezokovesd L 0-234.3 1333 1360 22.73% 23.87% 53.40%-0.59 -7.6 5
2018-10-07 MTK Budapest L 0-349.6 1533 1380 67.44% 19.06% 13.51%+1.21 -26.7 15
2018-10-07 @ MOL Vidi W 3-049.6 1380 1533 13.51% 19.06% 67.44%-1.21 +26.7 17
2018-10-20 MOL Vidi L 0-238.2 1326 1506 26.09% 24.72% 49.19%-0.43 -8.6 5
2018-10-20 @ Szombathelyi Haladas W 2-038.2 1506 1326 49.19% 24.72% 26.09%+0.43 +8.6 18
2018-10-20 Ferencvaros W 1-050.2 1350 1535 25.64% 24.62% 49.74%-0.45 +7.6 11
2018-10-20 @ Puskas L 0-150.2 1535 1350 49.74% 24.62% 25.64%+0.45 -7.6 24
2018-10-20 Honved D 1-157.8 1407 1432 46.65% 25.10% 28.25%+0.33 -0.6 18
2018-10-20 @ MTK Budapest D 1-157.8 1432 1407 28.25% 25.10% 46.65%-0.33 +0.6 20
2018-10-20 Mezokovesd L 1-256.3 1438 1368 58.53% 22.46% 19.01%+0.80 -8.2 8
2018-10-20 @ Kisvarda W 2-156.3 1368 1438 19.01% 22.46% 58.53%-0.80 +8.2 18
2018-10-20 Paks W 2-147.7 1410 1416 49.26% 24.71% 26.04%+0.43 +4.3 17
2018-10-20 @ Debrecen VSC L 1-247.7 1416 1410 26.04% 24.71% 49.26%-0.43 -4.3 16
2018-10-20 Ujpest L 1-251.2 1344 1400 42.43% 25.52% 32.04%+0.18 -6.3 6
2018-10-20 @ Diosgyor W 2-151.2 1400 1344 32.04% 25.52% 42.43%-0.18 +6.3 16
2018-10-27 Ferencvaros L 1-442.3 1337 1527 25.14% 24.51% 50.35%-0.47 -10.2 6
2018-10-27 @ Diosgyor W 4-142.3 1527 1337 50.35% 24.51% 25.14%+0.47 +10.2 27
2018-10-27 Honved L 0-142.6 1317 1433 34.03% 25.64% 40.33%-0.11 -5.7 5
2018-10-27 @ Szombathelyi Haladas W 1-042.6 1433 1317 40.33% 25.64% 34.03%+0.11 +5.7 23
2018-10-27 Mezokovesd W 2-145.3 1411 1376 54.42% 23.62% 21.96%+0.63 +3.7 19
2018-10-27 @ Paks L 1-245.3 1376 1411 21.96% 23.62% 54.42%-0.63 -3.7 18
2018-10-27 Puskas W 2-144.2 1414 1357 57.03% 22.91% 20.06%+0.74 +3.4 20
2018-10-27 @ Debrecen VSC L 1-244.2 1357 1414 20.06% 22.91% 57.03%-0.74 -3.4 11
2018-10-27 Ujpest W 1-041.0 1406 1406 50.00% 24.58% 25.42%+0.46 +4.5 21
2018-10-27 @ MTK Budapest L 0-141.0 1406 1406 25.42% 24.58% 50.00%-0.46 -4.5 16
2018-10-28 MOL Vidi D 2-267.3 1430 1515 38.30% 25.70% 36.01%+0.04 -0.1 9
2018-10-28 @ Kisvarda D 2-267.3 1515 1430 36.01% 25.70% 38.30%-0.04 +0.1 19
2018-11-03 Debrecen VSC D 2-262.8 1372 1418 43.95% 25.40% 30.65%+0.24 -0.3 19
2018-11-03 @ Mezokovesd D 2-262.8 1418 1372 30.65% 25.40% 43.95%-0.24 +0.3 21
2018-11-03 Diosgyor W 2-143.9 1354 1327 53.38% 23.87% 22.74%+0.59 +3.8 14
2018-11-03 @ Puskas L 1-243.9 1327 1354 22.74% 23.87% 53.38%-0.59 -3.8 6
2018-11-03 MOL Vidi L 0-442.9 1415 1515 36.21% 25.70% 38.09%-0.03 -21.3 19
2018-11-03 @ Paks W 4-042.9 1515 1415 38.09% 25.70% 36.21%+0.03 +21.3 22
2018-11-03 Honved L 0-344.3 1430 1439 48.83% 24.78% 26.40%+0.42 -20.6 9
2018-11-03 @ Kisvarda W 3-044.3 1439 1430 26.40% 24.78% 48.83%-0.42 +20.6 26
2018-11-03 MTK Budapest W 2-037.2 1537 1411 64.72% 20.21% 15.06%+1.08 +5.0 30
2018-11-03 @ Ferencvaros L 0-237.2 1411 1537 15.06% 20.21% 64.72%-1.08 -5.0 21
2018-11-03 Szombathelyi Haladas W 2-032.4 1402 1311 60.83% 21.69% 17.48%+0.90 +5.9 19
2018-11-03 @ Ujpest L 0-232.4 1311 1402 17.48% 21.69% 60.83%-0.90 -5.9 5
2018-11-10 Debrecen VSC W 1-043.4 1323 1418 36.96% 25.70% 37.33%-0.01 +6.1 9
2018-11-10 @ Diosgyor L 0-143.4 1418 1323 37.33% 25.70% 36.96%+0.01 -6.1 21
2018-11-10 Ferencvaros W 1-050.7 1306 1542 20.67% 23.16% 56.17%-0.70 +8.4 8
2018-11-10 @ Szombathelyi Haladas L 0-150.7 1542 1306 56.17% 23.16% 20.67%+0.70 -8.4 30
2018-11-10 Honved D 0-053.0 1394 1459 41.15% 25.60% 33.25%+0.14 -0.3 20
2018-11-10 @ Paks D 0-053.0 1459 1394 33.25% 25.60% 41.15%-0.14 +0.3 27
2018-11-10 Puskas W 3-249.6 1406 1358 55.96% 23.22% 20.82%+0.70 +3.3 24
2018-11-10 @ MTK Budapest L 2-349.6 1358 1406 20.82% 23.22% 55.96%-0.70 -3.3 14
2018-11-10 Ujpest L 1-448.6 1409 1408 50.18% 24.54% 25.28%+0.47 -17.7 9
2018-11-10 @ Kisvarda W 4-148.6 1408 1409 25.28% 24.54% 50.18%-0.47 +17.7 22
2018-11-11 MOL Vidi W 1-050.3 1372 1536 27.93% 25.05% 47.02%-0.35 +7.3 22
2018-11-11 @ Mezokovesd L 0-150.3 1536 1372 47.02% 25.05% 27.93%+0.35 -7.3 22
2018-11-21 Ujpest W 1-041.6 1529 1425 62.31% 21.15% 16.53%+0.97 +2.9 25
2018-11-21 @ MOL Vidi L 0-141.6 1425 1529 16.53% 21.15% 62.31%-0.97 -2.9 22
2018-11-24 Kisvarda W 2-035.9 1534 1391 66.37% 19.52% 14.10%+1.16 +4.7 33
2018-11-24 @ Ferencvaros L 0-235.9 1391 1534 14.10% 19.52% 66.37%-1.16 -4.7 9
2018-11-24 Mezokovesd D 1-158.7 1459 1379 59.68% 22.08% 18.24%+0.85 -1.4 28
2018-11-24 @ Honved D 1-158.7 1379 1459 18.24% 22.08% 59.68%-0.85 +1.4 23
2018-11-24 MTK Budapest W 3-254.2 1329 1409 39.13% 25.68% 35.20%+0.07 +5.2 12
2018-11-24 @ Diosgyor L 2-354.2 1409 1329 35.20% 25.68% 39.13%-0.07 -5.2 24
2018-11-24 Paks D 1-157.6 1422 1394 53.64% 23.81% 22.55%+0.60 -1.1 23
2018-11-24 @ Ujpest D 1-157.6 1394 1422 22.55% 23.81% 53.64%-0.60 +1.0 21
2018-11-24 Szombathelyi Haladas W 2-033.5 1354 1314 55.05% 23.46% 21.49%+0.66 +7.2 17
2018-11-24 @ Puskas L 0-233.5 1314 1354 21.49% 23.46% 55.05%-0.66 -7.2 8
2018-11-25 MOL Vidi L 0-147.7 1412 1532 33.44% 25.61% 40.95%-0.13 -5.6 21
2018-11-25 @ Debrecen VSC W 1-047.7 1532 1412 40.95% 25.61% 33.44%+0.13 +5.6 28
2018-12-01 Debrecen VSC L 0-148.2 1404 1406 49.67% 24.64% 25.70%+0.45 -7.6 24
2018-12-01 @ MTK Budapest W 1-048.2 1406 1404 25.70% 24.64% 49.67%-0.45 +7.6 24
2018-12-01 Diosgyor D 1-154.4 1307 1335 46.32% 25.14% 28.54%+0.32 -0.6 9
2018-12-01 @ Szombathelyi Haladas D 1-154.4 1335 1307 28.54% 25.14% 46.32%-0.32 +0.6 13
2018-12-01 Ferencvaros L 0-341.1 1395 1538 30.37% 25.37% 44.26%-0.25 -14.2 21
2018-12-01 @ Paks W 3-041.1 1538 1395 44.26% 25.37% 30.37%+0.25 +14.2 36
2018-12-01 Puskas W 1-038.7 1387 1362 53.16% 23.93% 22.91%+0.58 +4.1 12
2018-12-01 @ Kisvarda L 0-138.7 1362 1387 22.91% 23.93% 53.16%-0.58 -4.1 17
2018-12-01 Ujpest D 0-051.8 1381 1421 44.61% 25.34% 30.06%+0.26 -0.5 24
2018-12-01 @ Mezokovesd D 0-051.8 1421 1381 30.06% 25.34% 44.61%-0.26 +0.5 24
2018-12-02 Honved W 2-040.5 1538 1458 59.65% 22.10% 18.26%+0.85 +6.2 31
2018-12-02 @ MOL Vidi L 0-240.5 1458 1538 18.26% 22.10% 59.65%-0.85 -6.2 28
2018-12-08 MOL Vidi W 2-047.3 1422 1544 33.19% 25.60% 41.21%-0.14 +12.4 27
2018-12-08 @ Ujpest L 0-247.3 1544 1422 41.21% 25.60% 33.19%+0.14 -12.4 31
2018-12-08 Honved W 2-040.4 1414 1452 44.96% 25.30% 29.74%+0.27 +9.6 27
2018-12-08 @ Debrecen VSC L 0-240.4 1452 1414 29.74% 25.30% 44.96%-0.27 -9.6 28
2018-12-08 Kisvarda D 1-155.3 1335 1391 42.53% 25.51% 31.96%+0.19 -0.3 14
2018-12-08 @ Diosgyor D 1-155.3 1391 1335 31.96% 25.51% 42.53%-0.19 +0.3 13
2018-12-08 Mezokovesd W 3-250.2 1553 1380 69.32% 18.20% 12.48%+1.31 +1.9 39
2018-12-08 @ Ferencvaros L 2-350.2 1380 1553 12.48% 18.20% 69.32%-1.31 -1.9 24
2018-12-08 Paks D 1-155.7 1358 1380 46.99% 25.05% 27.95%+0.35 -0.6 18
2018-12-08 @ Puskas D 1-155.7 1380 1358 27.95% 25.05% 46.99%-0.35 +0.6 22
2018-12-08 Szombathelyi Haladas W 4-030.6 1396 1306 60.80% 21.70% 17.50%+0.90 +11.2 27
2018-12-08 @ MTK Budapest L 0-430.6 1306 1396 17.50% 21.70% 60.80%-0.90 -11.2 9
2018-12-15 Debrecen VSC L 0-238.0 1295 1424 32.32% 25.54% 42.14%-0.17 -10.3 9
2018-12-15 @ Szombathelyi Haladas W 2-038.0 1424 1295 42.14% 25.54% 32.32%+0.17 +10.3 30
2018-12-15 Diosgyor L 1-254.0 1381 1335 55.74% 23.28% 20.98%+0.69 -7.9 22
2018-12-15 @ Paks W 2-154.0 1335 1381 20.98% 23.28% 55.74%-0.69 +7.9 17
2018-12-15 Mezokovesd W 2-036.8 1357 1378 47.17% 25.03% 27.80%+0.35 +9.1 21
2018-12-15 @ Puskas L 0-236.8 1378 1357 27.80% 25.03% 47.17%-0.35 -9.1 24
2018-12-15 MTK Budapest W 1-041.3 1391 1407 47.85% 24.93% 27.22%+0.38 +4.7 16
2018-12-15 @ Kisvarda L 0-141.3 1407 1391 27.22% 24.93% 47.85%-0.38 -4.7 27
2018-12-15 Ujpest D 2-265.4 1442 1434 51.02% 24.38% 24.60%+0.50 -0.7 29
2018-12-15 @ Honved D 2-265.4 1434 1442 24.60% 24.38% 51.02%-0.50 +0.7 28
2018-12-16 Ferencvaros W 2-157.3 1531 1555 46.95% 25.06% 27.99%+0.35 +4.6 34
2018-12-16 @ MOL Vidi L 1-257.3 1555 1531 27.99% 25.06% 46.95%-0.35 -4.6 39
2019-02-02 Honved W 1-042.9 1550 1442 62.82% 20.96% 16.22%+0.99 +2.9 42
2019-02-02 @ Ferencvaros L 0-142.9 1442 1550 16.22% 20.96% 62.82%-0.99 -2.9 29
2019-02-02 Kisvarda L 0-141.8 1285 1396 34.67% 25.66% 39.67%-0.09 -5.8 9
2019-02-02 @ Szombathelyi Haladas W 1-041.8 1396 1285 39.67% 25.66% 34.67%+0.09 +5.8 19
2019-02-02 Mezokovesd D 1-155.2 1343 1369 46.49% 25.12% 28.39%+0.33 -0.6 18
2019-02-02 @ Diosgyor D 1-155.2 1369 1343 28.39% 25.12% 46.49%-0.33 +0.6 25
2019-02-02 Paks L 1-254.6 1403 1373 53.72% 23.79% 22.48%+0.61 -7.7 27
2019-02-02 @ MTK Budapest W 2-154.6 1373 1403 22.48% 23.79% 53.72%-0.61 +7.6 25
2019-02-02 Puskas L 0-349.5 1536 1366 69.10% 18.30% 12.60%+1.30 -27.2 34
2019-02-02 @ MOL Vidi W 3-049.5 1366 1536 12.60% 18.30% 69.10%-1.30 +27.2 24
2019-02-02 Ujpest D 0-053.7 1434 1435 49.86% 24.60% 25.54%+0.45 -0.9 31
2019-02-02 @ Debrecen VSC D 0-053.7 1435 1434 25.54% 24.60% 49.86%-0.45 +0.9 29
2019-02-09 Debrecen VSC W 3-037.6 1402 1433 45.84% 25.20% 28.96%+0.31 +13.7 22
2019-02-09 @ Kisvarda L 0-337.6 1433 1402 28.96% 25.20% 45.84%-0.31 -13.7 31
2019-02-09 Diosgyor L 1-259.3 1509 1342 68.78% 18.45% 12.77%+1.28 -9.3 34
2019-02-09 @ MOL Vidi W 2-159.3 1342 1509 12.77% 18.45% 68.78%-1.28 +9.3 21
2019-02-09 Ferencvaros D 1-162.6 1436 1553 33.84% 25.63% 40.52%-0.12 +0.2 30
2019-02-09 @ Ujpest D 1-162.6 1553 1436 40.52% 25.63% 33.84%+0.12 -0.2 43
2019-02-09 MTK Budapest L 2-358.0 1370 1395 46.69% 25.09% 28.22%+0.34 -6.5 25
2019-02-09 @ Mezokovesd W 3-258.0 1395 1370 28.22% 25.09% 46.69%-0.34 +6.5 30
2019-02-09 Puskas W 2-145.9 1439 1393 55.65% 23.30% 21.05%+0.68 +3.5 32
2019-02-09 @ Honved L 1-245.9 1393 1439 21.05% 23.30% 55.65%-0.68 -3.5 24
2019-02-09 Szombathelyi Haladas D 1-155.8 1381 1279 62.10% 21.23% 16.67%+0.96 -1.6 26
2019-02-09 @ Paks D 1-155.8 1279 1381 16.67% 21.23% 62.10%-0.96 +1.6 10
2019-02-16 MOL Vidi L 1-349.9 1402 1499 36.50% 25.70% 37.80%-0.02 -9.8 30
2019-02-16 @ MTK Budapest W 3-149.9 1499 1402 37.80% 25.70% 36.50%+0.02 +9.8 37
2019-02-16 Ferencvaros W 2-157.7 1419 1553 31.69% 25.49% 42.81%-0.20 +6.4 34
2019-02-16 @ Debrecen VSC L 1-257.7 1553 1419 42.81% 25.49% 31.69%+0.20 -6.4 43
2019-02-16 Honved W 2-150.5 1352 1442 37.54% 25.70% 36.75%+0.01 +5.7 24
2019-02-16 @ Diosgyor L 1-250.5 1442 1352 36.75% 25.70% 37.54%-0.01 -5.7 32
2019-02-16 Mezokovesd L 1-248.8 1281 1363 38.66% 25.69% 35.65%+0.05 -5.9 10
2019-02-16 @ Szombathelyi Haladas W 2-148.8 1363 1281 35.65% 25.69% 38.66%-0.05 +5.9 28
2019-02-16 Paks D 0-052.1 1415 1379 54.52% 23.60% 21.89%+0.64 -1.2 23
2019-02-16 @ Kisvarda D 0-052.1 1379 1415 21.89% 23.60% 54.52%-0.64 +1.2 27
2019-02-16 Ujpest L 0-147.0 1390 1436 43.80% 25.41% 30.78%+0.23 -6.9 24
2019-02-16 @ Puskas W 1-047.0 1436 1390 30.78% 25.41% 43.80%-0.23 +6.9 33
2019-02-23 Debrecen VSC W 2-148.8 1380 1426 43.95% 25.40% 30.65%+0.24 +4.9 30
2019-02-23 @ Paks L 1-248.8 1426 1380 30.65% 25.40% 43.95%-0.24 -4.9 34
2019-02-23 Diosgyor W 5-033.3 1443 1357 60.32% 21.87% 17.81%+0.88 +14.0 36
2019-02-23 @ Ujpest L 0-533.3 1357 1443 17.81% 21.87% 60.32%-0.88 -14.0 24
2019-02-23 Kisvarda D 2-262.7 1369 1414 44.03% 25.39% 30.58%+0.24 -0.3 29
2019-02-23 @ Mezokovesd D 2-262.7 1414 1369 30.58% 25.39% 44.03%-0.24 +0.3 24
2019-02-23 MTK Budapest W 2-145.9 1437 1392 55.58% 23.32% 21.10%+0.68 +3.5 35
2019-02-23 @ Honved L 1-245.9 1392 1437 21.10% 23.32% 55.58%-0.68 -3.6 30
2019-02-23 Puskas W 4-033.8 1546 1383 68.47% 18.59% 12.94%+1.26 +8.0 46
2019-02-23 @ Ferencvaros L 0-433.8 1383 1546 12.94% 18.59% 68.47%-1.26 -8.0 24
2019-02-23 Szombathelyi Haladas W 1-032.8 1509 1275 74.96% 15.41% 9.63%+1.61 +1.6 40
2019-02-23 @ MOL Vidi L 0-132.8 1275 1509 9.63% 15.41% 74.96%-1.61 -1.6 10
2019-03-02 Debrecen VSC W 2-038.9 1375 1421 43.85% 25.41% 30.74%+0.23 +9.9 27
2019-03-02 @ Puskas L 0-238.9 1421 1375 30.74% 25.41% 43.85%-0.23 -9.9 34
2019-03-02 Diosgyor W 7-033.6 1554 1343 72.93% 16.45% 10.62%+1.50 +10.9 49
2019-03-02 @ Ferencvaros L 0-733.6 1343 1554 10.62% 16.45% 72.93%-1.50 -10.9 24
2019-03-02 Kisvarda W 2-147.0 1511 1414 61.52% 21.44% 17.03%+0.93 +2.9 43
2019-03-02 @ MOL Vidi L 1-247.0 1414 1511 17.03% 21.44% 61.52%-0.93 -2.9 24
2019-03-02 MTK Budapest D 0-053.7 1457 1388 58.40% 22.50% 19.10%+0.80 -1.5 37
2019-03-02 @ Ujpest D 0-053.7 1388 1457 19.10% 22.50% 58.40%-0.80 +1.5 31
2019-03-02 Paks W 2-036.9 1369 1385 47.85% 24.93% 27.22%+0.38 +8.9 32
2019-03-02 @ Mezokovesd L 0-236.9 1385 1369 27.22% 24.93% 47.85%-0.38 -8.9 30
2019-03-02 Szombathelyi Haladas L 1-353.1 1440 1273 68.81% 18.44% 12.75%+1.28 -16.2 35
2019-03-02 @ Honved W 3-153.1 1273 1440 12.75% 18.44% 68.81%-1.28 +16.2 13
2019-03-09 MOL Vidi D 2-265.5 1376 1514 31.20% 25.45% 43.35%-0.22 +0.3 31
2019-03-09 @ Paks D 2-265.5 1514 1376 43.35% 25.45% 31.20%+0.22 -0.3 44
2019-03-09 Ferencvaros L 1-348.6 1390 1565 26.65% 24.83% 48.52%-0.40 -7.6 31
2019-03-09 @ MTK Budapest W 3-148.6 1565 1390 48.52% 24.83% 26.65%+0.40 +7.6 52
2019-03-09 Honved D 1-157.8 1411 1424 48.37% 24.85% 26.78%+0.40 -0.7 25
2019-03-09 @ Kisvarda D 1-157.8 1424 1411 26.78% 24.85% 48.37%-0.40 +0.7 36
2019-03-09 Mezokovesd W 1-039.2 1411 1378 54.14% 23.69% 22.17%+0.62 +4.0 37
2019-03-09 @ Debrecen VSC L 0-139.2 1378 1411 22.17% 23.69% 54.14%-0.62 -4.0 32
2019-03-09 Puskas W 1-041.3 1332 1385 42.96% 25.48% 31.56%+0.20 +5.4 27
2019-03-09 @ Diosgyor L 0-141.3 1385 1332 31.56% 25.48% 42.96%-0.20 -5.4 27
2019-03-09 Ujpest W 3-257.8 1289 1455 27.71% 25.01% 47.28%-0.36 +6.5 16
2019-03-09 @ Szombathelyi Haladas L 2-357.8 1455 1289 47.28% 25.01% 27.71%+0.36 -6.5 37
2019-03-16 Diosgyor W 1-036.9 1415 1338 59.36% 22.19% 18.45%+0.84 +3.3 40
2019-03-16 @ Debrecen VSC L 0-136.9 1338 1415 18.45% 22.19% 59.36%-0.84 -3.3 27
2019-03-16 Kisvarda W 1-040.8 1449 1411 54.78% 23.53% 21.69%+0.65 +3.9 40
2019-03-16 @ Ujpest L 0-140.8 1411 1449 21.69% 23.53% 54.78%-0.65 -3.9 25
2019-03-16 Mezokovesd W 1-038.2 1513 1374 66.07% 19.65% 14.28%+1.15 +2.5 47
2019-03-16 @ MOL Vidi L 0-138.2 1374 1513 14.28% 19.65% 66.07%-1.15 -2.5 32
2019-03-16 MTK Budapest W 3-251.5 1379 1382 49.64% 24.64% 25.72%+0.45 +4.0 30
2019-03-16 @ Puskas L 2-351.5 1382 1379 25.72% 24.64% 49.64%-0.45 -4.0 31
2019-03-16 Paks W 3-033.7 1425 1377 55.95% 23.22% 20.83%+0.70 +10.2 39
2019-03-16 @ Honved L 0-333.7 1377 1425 20.83% 23.22% 55.95%-0.70 -10.2 31
2019-03-16 Szombathelyi Haladas W 2-030.4 1573 1296 78.41% 13.56% 8.03%+1.82 +2.4 55
2019-03-16 @ Ferencvaros L 0-230.4 1296 1573 8.03% 13.56% 78.41%-1.82 -2.4 16
2019-03-30 Debrecen VSC W 2-147.3 1516 1418 61.66% 21.39% 16.94%+0.94 +2.8 50
2019-03-30 @ MOL Vidi L 1-247.3 1418 1516 16.94% 21.39% 61.66%-0.94 -2.8 40
2019-03-30 Diosgyor W 2-143.7 1378 1334 55.45% 23.36% 21.20%+0.67 +3.6 34
2019-03-30 @ MTK Budapest L 1-243.7 1334 1378 21.20% 23.36% 55.45%-0.67 -3.6 27
2019-03-30 Ferencvaros L 0-147.1 1407 1575 27.45% 24.97% 47.58%-0.37 -4.8 25
2019-03-30 @ Kisvarda W 1-047.1 1575 1407 47.58% 24.97% 27.45%+0.37 +4.8 58
2019-03-30 Honved W 3-146.2 1371 1435 41.43% 25.58% 32.98%+0.15 +9.0 35
2019-03-30 @ Mezokovesd L 1-346.2 1435 1371 32.98% 25.58% 41.43%-0.15 -9.0 39
2019-03-30 Puskas W 3-037.2 1293 1383 37.65% 25.70% 36.65%+0.02 +16.4 19
2019-03-30 @ Szombathelyi Haladas L 0-337.2 1383 1293 36.65% 25.70% 37.65%-0.02 -16.4 30
2019-03-30 Ujpest L 0-241.8 1367 1453 38.18% 25.70% 36.12%+0.04 -11.7 31
2019-03-30 @ Paks W 2-041.8 1453 1367 36.12% 25.70% 38.18%-0.04 +11.7 43
2019-04-06 MOL Vidi L 0-148.8 1426 1519 37.21% 25.71% 37.09%+0.00 -6.1 39
2019-04-06 @ Honved W 1-048.8 1519 1426 37.09% 25.71% 37.21%+0.00 +6.1 53
2019-04-06 Kisvarda L 0-441.1 1367 1402 45.33% 25.26% 29.41%+0.29 -25.3 30
2019-04-06 @ Puskas W 4-041.1 1402 1367 29.41% 25.26% 45.33%-0.29 +25.3 28
2019-04-06 Mezokovesd W 2-144.9 1464 1381 60.12% 21.94% 17.94%+0.87 +3.0 46
2019-04-06 @ Ujpest L 1-244.9 1381 1464 17.94% 21.94% 60.12%-0.87 -3.0 35
2019-04-06 MTK Budapest W 3-142.1 1415 1382 54.22% 23.67% 22.10%+0.63 +6.4 43
2019-04-06 @ Debrecen VSC L 1-342.1 1382 1415 22.10% 23.67% 54.22%-0.63 -6.4 34
2019-04-06 Paks W 3-032.2 1580 1355 74.16% 15.83% 10.02%+1.57 +4.6 61
2019-04-06 @ Ferencvaros L 0-332.2 1355 1580 10.02% 15.83% 74.16%-1.57 -4.6 31
2019-04-06 Szombathelyi Haladas L 0-146.3 1331 1310 52.65% 24.04% 23.31%+0.56 -8.0 27
2019-04-06 @ Diosgyor W 1-046.3 1310 1331 23.31% 24.04% 52.65%-0.56 +8.0 22
2019-04-13 Debrecen VSC D 1-158.0 1420 1422 49.74% 24.62% 25.64%+0.45 -0.8 40
2019-04-13 @ Honved D 1-158.0 1422 1420 25.64% 24.62% 49.74%-0.45 +0.8 44
2019-04-13 Diosgyor D 1-157.0 1427 1323 62.40% 21.12% 16.48%+0.97 -1.6 29
2019-04-13 @ Kisvarda D 1-157.0 1323 1427 16.48% 21.12% 62.40%-0.97 +1.6 28
2019-04-13 Ferencvaros L 1-251.0 1377 1585 23.37% 24.06% 52.57%-0.56 -3.9 35
2019-04-13 @ Mezokovesd W 2-151.0 1585 1377 52.57% 24.06% 23.37%+0.56 +3.9 64
2019-04-13 MTK Budapest W 1-041.2 1318 1375 42.27% 25.53% 32.20%+0.18 +5.4 25
2019-04-13 @ Szombathelyi Haladas L 0-141.2 1375 1318 32.20% 25.53% 42.27%-0.18 -5.4 34
2019-04-13 Puskas D 0-050.2 1350 1342 51.10% 24.37% 24.53%+0.50 -1.0 32
2019-04-13 @ Paks D 0-050.2 1342 1350 24.53% 24.37% 51.10%-0.50 +1.0 31
2019-04-13 Ujpest W 2-150.8 1525 1467 57.07% 22.90% 20.03%+0.74 +3.4 56
2019-04-13 @ MOL Vidi L 1-250.8 1467 1525 20.03% 22.90% 57.07%-0.74 -3.4 46
2019-04-20 MOL Vidi W 4-149.0 1588 1528 57.41% 22.80% 19.79%+0.76 +8.2 67
2019-04-20 @ Ferencvaros L 1-449.0 1528 1588 19.79% 22.80% 57.41%-0.76 -8.2 56
2019-04-20 Honved D 0-054.6 1464 1419 55.63% 23.31% 21.07%+0.68 -1.3 47
2019-04-20 @ Ujpest D 0-054.6 1419 1464 21.07% 23.31% 55.63%-0.68 +1.3 41
2019-04-20 Kisvarda L 0-146.0 1370 1426 42.46% 25.52% 32.02%+0.18 -6.7 34
2019-04-20 @ MTK Budapest W 1-046.0 1426 1370 32.02% 25.52% 42.46%-0.18 +6.7 32
2019-04-20 Mezokovesd W 1-040.4 1343 1374 45.90% 25.19% 28.91%+0.31 +5.0 34
2019-04-20 @ Puskas L 0-140.4 1374 1343 28.91% 25.19% 45.90%-0.31 -5.0 35
2019-04-20 Paks W 1-039.6 1324 1349 46.72% 25.09% 28.19%+0.34 +4.9 31
2019-04-20 @ Diosgyor L 0-139.6 1349 1324 28.19% 25.09% 46.72%-0.34 -4.9 32
2019-04-20 Szombathelyi Haladas W 2-142.3 1422 1323 61.82% 21.34% 16.85%+0.95 +2.8 47
2019-04-20 @ Debrecen VSC L 1-242.3 1323 1422 16.85% 21.34% 61.82%-0.95 -2.8 25
2019-04-27 Debrecen VSC D 1-159.7 1463 1425 54.69% 23.55% 21.76%+0.64 -1.1 48
2019-04-27 @ Ujpest D 1-159.7 1425 1463 21.76% 23.55% 54.69%-0.64 +1.1 48
2019-04-27 Diosgyor W 3-032.2 1369 1329 54.92% 23.50% 21.59%+0.65 +10.6 38
2019-04-27 @ Mezokovesd L 0-332.2 1329 1369 21.59% 23.50% 54.92%-0.65 -10.5 31
2019-04-27 Ferencvaros W 3-266.2 1420 1597 26.55% 24.81% 48.64%-0.41 +6.7 44
2019-04-27 @ Honved L 2-366.2 1597 1420 48.64% 24.81% 26.55%+0.41 -6.7 67
2019-04-27 MTK Budapest W 1-039.8 1344 1363 47.55% 24.97% 27.47%+0.37 +4.8 35
2019-04-27 @ Paks L 0-139.8 1363 1344 27.47% 24.97% 47.55%-0.37 -4.8 34
2019-04-27 Puskas D 1-160.7 1520 1348 69.34% 18.19% 12.47%+1.31 -2.0 57
2019-04-27 @ MOL Vidi D 1-160.7 1348 1520 12.47% 18.19% 69.34%-1.31 +2.0 35
2019-04-27 Szombathelyi Haladas L 1-256.1 1432 1320 63.20% 20.81% 15.98%+1.01 -8.8 32
2019-04-27 @ Kisvarda W 2-156.1 1320 1432 15.98% 20.81% 63.20%-1.01 +8.8 28
2019-05-04 MOL Vidi W 2-155.5 1319 1518 24.14% 24.27% 51.59%-0.52 +7.4 34
2019-05-04 @ Diosgyor L 1-255.5 1518 1319 51.59% 24.27% 24.14%+0.52 -7.4 57
2019-05-04 Honved D 2-262.5 1350 1427 39.46% 25.67% 34.87%+0.08 -0.1 36
2019-05-04 @ Puskas D 2-262.5 1427 1350 34.87% 25.67% 39.46%-0.08 +0.1 45
2019-05-04 Kisvarda L 1-352.2 1426 1424 50.35% 24.51% 25.14%+0.47 -12.6 48
2019-05-04 @ Debrecen VSC W 3-152.2 1424 1426 25.14% 24.51% 50.35%-0.47 +12.6 35
2019-05-04 Mezokovesd L 0-146.1 1358 1379 47.25% 25.02% 27.73%+0.36 -7.3 34
2019-05-04 @ MTK Budapest W 1-046.1 1379 1358 27.73% 25.02% 47.25%-0.36 +7.3 41
2019-05-04 Paks D 1-154.9 1329 1349 47.37% 25.00% 27.63%+0.36 -0.7 29
2019-05-04 @ Szombathelyi Haladas D 1-154.9 1349 1329 27.63% 25.00% 47.37%-0.36 +0.7 36
2019-05-04 Ujpest W 2-150.6 1590 1462 64.93% 20.13% 14.95%+1.09 +2.5 70
2019-05-04 @ Ferencvaros L 1-250.6 1462 1590 14.95% 20.13% 64.93%-1.09 -2.5 48
2019-05-11 Debrecen VSC W 2-147.5 1592 1414 69.93% 17.92% 12.16%+1.34 +2.0 73
2019-05-11 @ Ferencvaros L 1-247.5 1414 1592 12.16% 17.92% 69.93%-1.34 -2.0 48
2019-05-11 Diosgyor D 4-468.4 1427 1326 62.00% 21.27% 16.73%+0.96 -0.9 46
2019-05-11 @ Honved D 4-468.4 1326 1427 16.73% 21.27% 62.00%-0.96 +0.9 35
2019-05-11 Kisvarda W 1-043.9 1350 1436 38.15% 25.70% 36.15%+0.03 +5.9 39
2019-05-11 @ Paks L 0-143.9 1436 1350 36.15% 25.70% 38.15%-0.03 -5.9 35
2019-05-11 MTK Budapest W 4-243.4 1511 1351 68.09% 18.76% 13.14%+1.25 +3.3 60
2019-05-11 @ MOL Vidi L 2-443.4 1351 1511 13.14% 18.76% 68.09%-1.25 -3.3 34
2019-05-11 Puskas L 0-151.0 1459 1350 62.94% 20.91% 16.14%+1.00 -9.2 48
2019-05-11 @ Ujpest W 1-051.0 1350 1459 16.14% 20.91% 62.94%-1.00 +9.2 39
2019-05-11 Szombathelyi Haladas W 1-037.0 1386 1329 57.14% 22.88% 19.98%+0.74 +3.6 44
2019-05-11 @ Mezokovesd L 0-137.0 1329 1386 19.98% 22.88% 57.14%-0.74 -3.6 29
2019-05-19 MOL Vidi D 1-158.0 1325 1514 25.20% 24.53% 50.27%-0.47 +0.8 30
2019-05-19 @ Szombathelyi Haladas D 1-158.0 1514 1325 50.27% 24.53% 25.20%+0.47 -0.8 61
2019-05-19 Ferencvaros D 1-162.0 1359 1594 20.75% 23.19% 56.06%-0.70 +1.2 40
2019-05-19 @ Puskas D 1-162.0 1594 1359 56.06% 23.19% 20.75%+0.70 -1.2 74
2019-05-19 Honved L 1-444.7 1348 1426 39.28% 25.68% 35.04%+0.07 -14.6 34
2019-05-19 @ MTK Budapest W 4-144.7 1426 1348 35.04% 25.68% 39.28%-0.07 +14.6 49
2019-05-19 Mezokovesd W 2-145.8 1430 1390 55.04% 23.46% 21.50%+0.66 +3.6 38
2019-05-19 @ Kisvarda L 1-245.8 1390 1430 21.50% 23.46% 55.04%-0.66 -3.6 44
2019-05-19 Paks W 4-138.0 1412 1356 56.93% 22.94% 20.13%+0.74 +8.3 51
2019-05-19 @ Debrecen VSC L 1-438.0 1356 1412 20.13% 22.94% 56.93%-0.74 -8.3 39
2019-05-19 Ujpest W 3-040.1 1327 1450 33.07% 25.59% 41.34%-0.15 +18.0 38
2019-05-19 @ Diosgyor L 0-340.1 1450 1327 41.34% 25.59% 33.07%+0.15 -18.0 48

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 2019-02-02 12.60% Puskas 1366 3 @ MOL Vidi 1536 0
2 2019-03-02 12.75% Szombathelyi Haladas 1273 3 @ Honved 1440 1
3 2019-02-09 12.77% Diosgyor 1342 2 @ MOL Vidi 1509 1
4 2018-10-07 13.51% MTK Budapest 1380 3 @ MOL Vidi 1533 0
5 2019-04-27 15.98% Szombathelyi Haladas 1320 2 @ Kisvarda 1432 1
6 2019-05-11 16.14% Puskas 1350 1 @ Ujpest 1459 0
7 2018-10-20 19.01% Mezokovesd 1368 2 @ Kisvarda 1438 1
8 2018-11-10 20.67% @ Szombathelyi Haladas 1306 1 Ferencvaros 1542 0
9 2018-12-15 20.98% Diosgyor 1335 2 @ Paks 1381 1
10 2019-02-02 22.48% Paks 1373 2 @ MTK Budapest 1403 1
11 2019-04-06 23.31% Szombathelyi Haladas 1310 1 @ Diosgyor 1331 0
12 2018-07-22 23.51% MTK Budapest 1381 2 @ Ujpest 1400 0
13 2019-05-04 24.14% @ Diosgyor 1319 2 MOL Vidi 1518 1
14 2019-05-04 25.14% Kisvarda 1424 3 @ Debrecen VSC 1426 1
15 2018-11-10 25.28% Ujpest 1408 4 @ Kisvarda 1409 1
16 2018-09-15 25.29% @ Puskas 1344 2 MOL Vidi 1532 1
17 2018-10-20 25.64% @ Puskas 1350 1 Ferencvaros 1535 0
18 2018-12-01 25.70% Debrecen VSC 1406 1 @ MTK Budapest 1404 0
19 2018-11-03 26.40% Honved 1439 3 @ Kisvarda 1430 0
20 2019-04-27 26.55% @ Honved 1420 3 Ferencvaros 1597 2
21 2018-08-04 27.04% MTK Budapest 1382 2 @ Puskas 1368 1
22 2019-03-09 27.71% @ Szombathelyi Haladas 1289 3 Ujpest 1455 2
23 2019-05-04 27.73% Mezokovesd 1379 1 @ MTK Budapest 1358 0
24 2018-11-11 27.93% @ Mezokovesd 1372 1 MOL Vidi 1536 0
25 2019-02-09 28.22% MTK Budapest 1395 3 @ Mezokovesd 1370 2

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 2019-02-02 27.23 Puskas 3 1366 12.60% @ MOL Vidi 0 1536 69.10% 18.30%
2 2018-10-07 26.74 MTK Budapest 3 1380 13.51% @ MOL Vidi 0 1533 67.44% 19.06%
3 2019-04-06 25.29 Kisvarda 4 1402 29.41% @ Puskas 0 1367 45.33% 25.26%
4 2018-11-03 21.28 MOL Vidi 4 1515 38.09% @ Paks 0 1415 36.21% 25.70%
5 2018-11-03 20.56 Honved 3 1439 26.40% @ Kisvarda 0 1430 48.83% 24.78%
6 2018-07-29 20.15 @ Honved 4 1417 40.68% Kisvarda 0 1485 33.70% 25.62%
7 2019-05-19 18.01 @ Diosgyor 3 1327 33.07% Ujpest 0 1450 41.34% 25.59%
8 2018-08-18 17.88 MOL Vidi 3 1514 33.44% @ Honved 0 1447 40.95% 25.61%
9 2018-11-10 17.74 Ujpest 4 1408 25.28% @ Kisvarda 1 1409 50.18% 24.54%
10 2019-03-30 16.44 @ Szombathelyi Haladas 3 1293 37.65% Puskas 0 1383 36.65% 25.70%
11 2019-03-02 16.18 Szombathelyi Haladas 3 1273 12.75% @ Honved 1 1440 68.81% 18.44%
12 2018-07-21 16.03 @ MOL Vidi 4 1501 49.93% Kisvarda 0 1502 25.48% 24.59%
13 2018-07-22 15.00 MTK Budapest 2 1381 23.51% @ Ujpest 0 1400 52.39% 24.10%
14 2019-05-19 14.60 Honved 4 1426 35.04% @ MTK Budapest 1 1348 39.28% 25.68%
15 2018-12-01 14.21 Ferencvaros 3 1538 44.26% @ Paks 0 1395 30.37% 25.37%
16 2019-02-23 14.05 @ Ujpest 5 1443 60.32% Diosgyor 0 1357 17.81% 21.87%
17 2018-07-29 13.80 Ferencvaros 4 1494 37.85% @ MTK Budapest 1 1396 36.45% 25.70%
18 2019-02-09 13.67 @ Kisvarda 3 1402 45.84% Debrecen VSC 0 1433 28.96% 25.20%
19 2018-08-11 12.77 Ferencvaros 2 1512 31.58% @ Kisvarda 0 1460 42.93% 25.48%
20 2018-09-15 12.64 @ Paks 3 1385 48.84% MTK Budapest 0 1394 26.38% 24.78%
21 2019-05-04 12.57 Kisvarda 3 1424 25.14% @ Debrecen VSC 1 1426 50.35% 24.51%
22 2018-12-08 12.37 @ Ujpest 2 1422 33.19% MOL Vidi 0 1544 41.21% 25.60%
23 2018-10-06 12.12 @ Paks 4 1404 43.79% Kisvarda 1 1450 30.79% 25.41%
24 2018-08-25 11.74 @ Honved 3 1429 51.46% Debrecen VSC 0 1418 24.25% 24.30%
25 2019-03-30 11.67 Ujpest 2 1453 36.12% @ Paks 0 1367 38.18% 25.70%

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 2018-09-02 71.8 @ Ferencvaros 2 1528 49.51% MOL Vidi 2 1532 25.83% 24.66%
2 2018-10-06 68.9 @ Ferencvaros 2 1536 64.80% Debrecen VSC 2 1409 15.02% 20.18%
3 2019-05-11 68.4 @ Honved 4 1427 62.00% Diosgyor 4 1326 16.73% 21.27%
4 2018-08-17 67.5 @ Debrecen VSC 3 1418 53.15% MTK Budapest 3 1393 22.92% 23.93%
5 2018-10-28 67.3 @ Kisvarda 2 1430 38.30% MOL Vidi 2 1515 36.01% 25.70%
6 2019-04-27 66.2 @ Honved 3 1420 26.55% Ferencvaros 2 1597 48.64% 24.81%
7 2019-03-09 65.5 @ Paks 2 1376 31.20% MOL Vidi 2 1514 43.35% 25.45%
8 2018-12-15 65.4 @ Honved 2 1442 51.02% Ujpest 2 1434 24.60% 24.38%
9 2018-11-03 62.8 @ Mezokovesd 2 1372 43.95% Debrecen VSC 2 1418 30.65% 25.40%
10 2019-02-23 62.7 @ Mezokovesd 2 1369 44.03% Kisvarda 2 1414 30.58% 25.39%
11 2019-02-09 62.6 @ Ujpest 1 1436 33.84% Ferencvaros 1 1553 40.52% 25.63%
12 2019-05-04 62.5 @ Puskas 2 1350 39.46% Honved 2 1427 34.87% 25.67%
13 2018-09-29 62.3 @ MTK Budapest 2 1381 52.70% Mezokovesd 2 1360 23.27% 24.03%
14 2018-07-28 62.0 @ Diosgyor 2 1364 49.67% Puskas 2 1367 25.69% 24.64%
15 2018-07-29 62.0 @ Szombathelyi Haladas 2 1356 46.20% Ujpest 2 1385 28.64% 25.16%
16 2019-05-19 62.0 @ Puskas 1 1359 20.75% Ferencvaros 1 1594 56.06% 23.19%
17 2018-08-10 61.8 @ MOL Vidi 1 1515 61.75% Debrecen VSC 1 1417 16.89% 21.36%
18 2018-08-18 61.4 @ Ferencvaros 1 1525 66.77% Paks 1 1378 13.88% 19.35%
19 2018-07-28 61.1 @ MOL Vidi 1 1517 65.72% Paks 1 1381 14.48% 19.80%
20 2019-04-27 60.7 @ MOL Vidi 1 1520 69.34% Puskas 1 1348 12.47% 18.19%
21 2019-04-27 59.7 @ Ujpest 1 1463 54.69% Debrecen VSC 1 1425 21.76% 23.55%
22 2019-02-09 59.3 Diosgyor 2 1342 12.77% @ MOL Vidi 1 1509 68.78% 18.45%
23 2018-11-24 58.7 @ Honved 1 1459 59.68% Mezokovesd 1 1379 18.24% 22.08%
24 2019-02-09 58.0 MTK Budapest 3 1395 28.22% @ Mezokovesd 2 1370 46.69% 25.09%
25 2019-04-13 58.0 @ Honved 1 1420 49.74% Debrecen VSC 1 1422 25.64% 24.62%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2019-03-16 30.4 @ Ferencvaros 2 1573 78.41% Szombathelyi Haladas 0 1296 8.03% 13.56%
2 2018-12-08 30.6 @ MTK Budapest 4 1396 60.80% Szombathelyi Haladas 0 1306 17.50% 21.70%
3 2019-04-06 32.2 @ Ferencvaros 3 1580 74.16% Paks 0 1355 10.02% 15.83%
4 2019-04-27 32.2 @ Mezokovesd 3 1369 54.92% Diosgyor 0 1329 21.59% 23.50%
5 2018-11-03 32.4 @ Ujpest 2 1402 60.83% Szombathelyi Haladas 0 1311 17.48% 21.69%
6 2019-02-23 32.8 @ MOL Vidi 1 1509 74.96% Szombathelyi Haladas 0 1275 9.63% 15.41%
7 2019-02-23 33.3 @ Ujpest 5 1443 60.32% Diosgyor 0 1357 17.81% 21.87%
8 2018-11-24 33.5 @ Puskas 2 1354 55.05% Szombathelyi Haladas 0 1314 21.49% 23.46%
9 2019-03-02 33.6 @ Ferencvaros 7 1554 72.93% Diosgyor 0 1343 10.62% 16.45%
10 2019-03-16 33.7 @ Honved 3 1425 55.95% Paks 0 1377 20.83% 23.22%
11 2019-02-23 33.8 @ Ferencvaros 4 1546 68.47% Puskas 0 1383 12.94% 18.59%
12 2018-10-06 34.3 @ Mezokovesd 2 1360 53.40% Szombathelyi Haladas 0 1333 22.73% 23.87%
13 2018-10-06 34.8 @ Ujpest 2 1392 54.44% Puskas 0 1357 21.94% 23.62%
14 2018-08-04 34.9 @ Debrecen VSC 2 1410 55.69% Diosgyor 0 1364 21.02% 23.29%
15 2018-09-15 35.4 @ Paks 3 1385 48.84% MTK Budapest 0 1394 26.38% 24.78%
16 2018-09-01 35.6 @ Mezokovesd 2 1348 49.43% Puskas 0 1352 25.89% 24.68%
17 2018-11-24 35.9 @ Ferencvaros 2 1534 66.37% Kisvarda 0 1391 14.10% 19.52%
18 2018-08-25 36.2 @ Honved 3 1429 51.46% Debrecen VSC 0 1418 24.25% 24.30%
19 2018-12-15 36.8 @ Puskas 2 1357 47.17% Mezokovesd 0 1378 27.80% 25.03%
20 2019-03-02 36.9 @ Mezokovesd 2 1369 47.85% Paks 0 1385 27.22% 24.93%
21 2019-03-16 36.9 @ Debrecen VSC 1 1415 59.36% Diosgyor 0 1338 18.45% 22.19%
22 2018-09-15 37.0 @ Kisvarda 4 1452 62.52% Szombathelyi Haladas 1 1346 16.40% 21.07%
23 2019-05-11 37.0 @ Mezokovesd 1 1386 57.14% Szombathelyi Haladas 0 1329 19.98% 22.88%
24 2018-10-06 37.2 @ Honved 1 1429 59.92% Diosgyor 0 1347 18.08% 22.00%
25 2018-11-03 37.2 @ Ferencvaros 2 1537 64.72% MTK Budapest 0 1411 15.06% 20.21%