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2009 A Lyga Season

112 games

Final

Champion

Ekranas

63 points

Relegated

No relegation

Biggest Overachiever

Tauras Taurage

6.14 points above expected

38 points · 31.86 expected points

Biggest Disappointment

Atletas Kaunas

7.91 points below expected

15 points · 22.91 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 Ekranas 28 18 9 1 63 58 20 +38 59.01 +3.99
2 Vetra 28 16 9 3 57 55 22 +33 54.29 +2.71
3 Suduva 28 14 11 3 53 55 22 +33 54.49 -1.49
4 FK Siauliai 28 13 3 12 42 40 34 +6 41.14 +0.86
5 Tauras Taurage 28 10 8 10 38 26 22 +4 31.86 +6.14
6 Banga Gargzdai 28 7 6 15 27 25 49 -24 25.37 +1.63
7 Atletas Kaunas 28 4 3 21 15 19 63 -44 22.91 -7.91
8 Kruoja Pakruojis 28 2 7 19 13 24 70 -46 20.37 -7.37

Top Overachievers & Disappointments

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

Biggest Overachievers

# Team Actual Sim vsSim
1 Tauras Taurage 38 31.86 +6.14
2 Ekranas 63 59.01 +3.99
3 Vetra 57 54.29 +2.71
4 Banga Gargzdai 27 25.37 +1.63
5 FK Siauliai 42 41.14 +0.86

Biggest Disappointments

# Team Actual Sim vsSim
1 Atletas Kaunas 15 22.91 -7.91
2 Kruoja Pakruojis 13 20.37 -7.37
3 Suduva 53 54.49 -1.49
4 FK Siauliai 42 41.14 +0.86
5 Banga Gargzdai 27 25.37 +1.63

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 Suduva 4 Apr 4 – Apr 26 1 in 7
2 Atletas Kaunas 1 May 9 – May 9 1 in 6
3 Banga Gargzdai 2 Jun 17 – Jun 21 1 in 6
4 FK Siauliai 3 Jun 28 – Jul 26 1 in 6
5 Ekranas 4 Jun 10 – Jun 21 1 in 5

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 FK Siauliai 4 May 2 – May 26 1 in 111
2 Atletas Kaunas 7 Jun 17 – Aug 9 1 in 63
3 Kruoja Pakruojis 7 Jun 10 – Jul 26 1 in 40
4 Suduva 1 Aug 2 – Aug 2 1 in 9
5 Tauras Taurage 4 Apr 4 – Apr 26 1 in 5

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Banga Gargzdai 4 May 9 – Jun 10 1 in 57
2 Ekranas 21 May 26 – Oct 31 1 in 32
3 Suduva 15 Apr 4 – Jul 26 1 in 18
4 Vetra 12 May 2 – Aug 9 1 in 16
5 Tauras Taurage 4 May 2 – May 26 1 in 9

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Suduva 5 Aug 23 – Sep 27 1 in 36
2 Vetra 3 Oct 18 – Oct 31 1 in 13
3 Ekranas 3 May 9 – May 26 1 in 9
4 Kruoja Pakruojis 11 May 9 – Aug 2 1 in 9
5 FK Siauliai 4 May 2 – May 26 1 in 9

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
Ekranas 1802 63 +75 13 9.5 +3.5
Vetra 1685 57 -5 6 8.4 -2.4
Suduva 1627 53 +4 10 9.5 +0.5
FK Siauliai 1518 42 -16 7 7.1 -0.1
Tauras Taurage 1478 38 +43 10 9.0 +1.0
Banga Gargzdai 1246 27 -27 6 5.5 +0.5
Atletas Kaunas 1133 15 -75 0 3.0 -3.0
Kruoja Pakruojis 1113 13 -13 2 2.7 -0.7

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 BG EKR FS KP SUD TT VET
Atletas Kaunas —
1-0-3
5.53
0-1-3
1.70
1-1-2
2.53
2-1-1
6.14
0-0-4
1.52
0-0-4
4.22
0-0-4
2.08
Banga Gargzdai
3-0-1
5.43
—
0-0-4
1.57
1-0-3
3.19
3-0-1
6.65
0-3-1
1.88
0-2-2
4.09
0-1-3
1.92
Ekranas
3-1-0
9.46
4-0-0
9.58
—
4-0-0
8.25
2-2-0
9.46
1-3-0
6.37
3-1-0
9.22
1-2-1
6.26
FK Siauliai
2-1-1
8.50
3-0-1
7.79
0-0-4
2.76
—
3-1-0
7.58
0-1-3
3.53
3-0-1
6.72
2-0-2
3.09
Kruoja Pakruojis
1-1-2
4.81
1-0-3
4.32
0-2-2
1.71
0-1-3
3.46
—
0-0-4
1.55
0-2-2
3.23
0-1-3
1.46
Suduva
4-0-0
9.66
1-3-0
9.21
0-3-1
4.59
3-1-0
7.44
4-0-0
9.62
—
2-1-1
8.85
0-3-1
5.77
Tauras Taurage
4-0-0
6.79
2-2-0
6.87
0-1-3
1.87
1-0-3
4.24
2-2-0
7.81
1-1-2
2.20
—
0-2-2
2.13
Vetra
4-0-0
9.03
3-1-0
9.19
1-2-1
4.69
2-0-2
7.90
3-1-0
9.75
1-3-0
5.18
2-2-0
8.94
—

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 0.88 +10.9
Allowed 0.87 -8.7
Differential 0.99 +5.4

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
06.25%9.82%5.80%6.25%1.79%1.34%31.25%
19.82%13.39%5.36%1.34%0.89%1.34%32.14%
25.80%5.36%5.36%1.34%1.34%0.89%20.09%
36.25%1.34%1.34%———8.93%
41.79%0.89%1.34%———4.02%
5+1.34%1.34%0.89%———3.57%
Total31.25%32.14%20.09%8.93%4.02%3.57%100%

Summary Statistics

Scored Allowed Difference
Mean 1.35 1.35 +0.00
SD 1.36 1.36 2.11
CV 1.01 1.01 —
Max 7 7 +6
Min 0 0 -6

Games Played: 112

↓ Scored | Allowed →012345+Total
0—14.29%14.29%17.86%3.57%—50.00%
17.14%10.71%7.14%3.57%7.14%—35.71%
2—3.57%——3.57%3.57%10.71%
3——3.57%———3.57%
4———————
5+———————
Total7.14%28.57%25.00%21.43%14.29%3.57%100%

Summary Statistics

Scored Allowed Difference
Mean 0.68 2.25 -1.57
SD 0.82 1.51 1.60
CV 1.21 0.67 —
Max 3 7 +1
Min 0 0 -5

Games Played: 28

↓ Scored | Allowed →012345+Total
07.14%14.29%10.71%7.14%7.14%3.57%50.00%
13.57%10.71%7.14%——3.57%25.00%
23.57%7.14%3.57%———14.29%
33.57%—3.57%———7.14%
4——3.57%———3.57%
5+———————
Total17.86%32.14%28.57%7.14%7.14%7.14%100%

Summary Statistics

Scored Allowed Difference
Mean 0.89 1.75 -0.86
SD 1.13 1.43 2.01
CV 1.27 0.82 —
Max 4 5 +3
Min 0 0 -5

Games Played: 28

↓ Scored | Allowed →012345+Total
03.57%—————3.57%
114.29%17.86%————32.14%
27.14%10.71%10.71%3.57%——32.14%
321.43%—————21.43%
43.57%—3.57%———7.14%
5+—3.57%————3.57%
Total50.00%32.14%14.29%3.57%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.07 0.71 +1.36
SD 1.15 0.85 1.42
CV 0.56 1.20 —
Max 5 3 +4
Min 0 0 -1

Games Played: 28

↓ Scored | Allowed →012345+Total
03.57%17.86%7.14%3.57%——32.14%
110.71%7.14%3.57%——3.57%25.00%
27.14%10.71%—3.57%—3.57%25.00%
33.57%3.57%————7.14%
43.57%3.57%————7.14%
5+3.57%—————3.57%
Total32.14%42.86%10.71%7.14%—7.14%100%

Summary Statistics

Scored Allowed Difference
Mean 1.43 1.21 +0.21
SD 1.40 1.37 2.15
CV 0.98 1.13 —
Max 5 5 +5
Min 0 0 -4

Games Played: 28

↓ Scored | Allowed →012345+Total
03.57%7.14%3.57%17.86%3.57%7.14%42.86%
1—7.14%10.71%7.14%—3.57%28.57%
23.57%3.57%14.29%3.57%3.57%—28.57%
3———————
4———————
5+———————
Total7.14%17.86%28.57%28.57%7.14%10.71%100%

Summary Statistics

Scored Allowed Difference
Mean 0.86 2.50 -1.64
SD 0.85 1.53 1.91
CV 0.99 0.61 —
Max 2 6 +2
Min 0 0 -6

Games Played: 28

↓ Scored | Allowed →012345+Total
010.71%3.57%3.57%———17.86%
114.29%25.00%————39.29%
27.14%—3.57%—3.57%—14.29%
33.57%3.57%————7.14%
47.14%—3.57%———10.71%
5+3.57%3.57%3.57%———10.71%
Total46.43%35.71%14.29%—3.57%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.96 0.79 +1.18
SD 1.88 0.96 2.00
CV 0.95 1.22 —
Max 7 4 +6
Min 0 0 -2

Games Played: 28

↓ Scored | Allowed →012345+Total
010.71%17.86%7.14%3.57%——39.29%
117.86%14.29%7.14%———39.29%
27.14%—3.57%———10.71%
310.71%—————10.71%
4———————
5+———————
Total46.43%32.14%17.86%3.57%——100%

Summary Statistics

Scored Allowed Difference
Mean 0.93 0.79 +0.14
SD 0.98 0.88 1.53
CV 1.05 1.11 —
Max 3 3 +3
Min 0 0 -3

Games Played: 28

↓ Scored | Allowed →012345+Total
010.71%3.57%————14.29%
110.71%14.29%7.14%———32.14%
210.71%7.14%7.14%———25.00%
37.14%3.57%3.57%———14.29%
4—3.57%————3.57%
5+3.57%3.57%3.57%———10.71%
Total42.86%35.71%21.43%———100%

Summary Statistics

Scored Allowed Difference
Mean 1.96 0.79 +1.18
SD 1.57 0.79 1.63
CV 0.80 1.00 —
Max 6 2 +5
Min 0 0 -1

Games Played: 28

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
Ekranas 1802 63 59.01 +3.99 79.0% 42 48 55 59 63 68 76
Vetra 1685 57 54.29 +2.71 67.0% 39 44 49 54 59 65 67
Suduva 1627 53 54.49 -1.49 47.0% 34 44 50 54 59 64 67
FK Siauliai 1518 42 41.14 +0.86 67.0% 26 30 37 41 44 52 57
Tauras Taurage 1478 38 31.86 +6.14 89.0% 15 23 28 32 36 40 44
Banga Gargzdai 1246 27 25.37 +1.63 63.0% 13 16 21 25 29 34 38
Atletas Kaunas 1133 15 22.91 -7.91 9.0% 5 14 20 23 26 30 35
Kruoja Pakruojis 1113 13 20.37 -7.37 9.0% 7 12 17 20 24 28 34

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 3% * Slight Edge: 3% to 8% * Clear Edge: 8% to 11.5% * Strong Edge: 11.5% 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
+14.29%
Strong Edge
44.64%25.00%30.36%
Elo Value
Home Edge: 49.98 Elo pts.
214 Elo
0.005 goals per Elo point
0600
Scoring Tilt
Expected
+0.32 goals
Neutral
-2+0.23+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 4th * Longshot: 5th 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 0.23 * Comfortable: 0.23 to 0.33 * Runaway: 0.33 and up.
Title-Race Openness
2.3
Top-Heavy
12348
Champion Preseason Odds
59%
Ekranas, 1st of 8
LongshotFavorite
Title Margin
Expected
0.21/gm
Tight Race
00.210.5/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 4.6 * Some Luck: 4.6 to 6.89 * Lucky: 6.89 to 9.19 * Wild Swing: 9.19 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 0.52 * Close: 0.52 to 0.77 * Off: 0.77 to 1.03 * Way Off: 1.03 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 8 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 8 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 8 * As Expected: 8 to 12.8 * Several Outliers: 12.8 to 17.6 * Many Outliers: 17.6 and up.
Luck Spread
Expected
4.79 points
Some Luck
05.7414
Average Finish Error
Expected
0.25
Pinpoint
00.641.5
Biggest Overachiever
Expected 93.75%
89.00%
Tauras Taurage
50100
Biggest Underachiever
Expected
9.00%
Atletas Kaunas
06.25%50
Season Outliers
Expected
0 of 8
Minimal Outliers
00.88

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 0.24 * Even: 0.24 to 0.25 * Top-Heavy: 0.25 to 0.27 * Lopsided: 0.27 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 2.5 * Moderate Separation: 2.5 to 2.65 * Strong Separation: 2.65 to 2.85 * Wide Separation: 2.85 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 77.5% * Slight Edge: 77.5% to 86.5% * Clear Edge: 86.5% to 90% * Wide Edge: 90% 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 96% * Clear Edge: 96% to 98% * Strong Edge: 98% to 99% * Dominant: 99% 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 51% * Some Drama: 51% to 58% * Frequent: 58% to 60% * Very Frequent: 60% 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 19.5% * Occasional: 19.5% to 22.5% * Frequent: 22.5% to 27% * Very Frequent: 27% and up.
Gini Index
0.26
Top-Heavy
00.240.5
Noll-Scully
Elo SD: 259.44
2.71
Strong Separation
12.52.853.5
Interquartile Edge
92%
Wide Edge
50%77.5%86.5%100%
Best vs. Worst
Baseline 99%
98%
Strong Edge
50%100%
Close Games
Expected
58%
Frequent
0%51%100%
Blowouts
Expected
25%
Frequent
0%24%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 0.48 * Slight Separation: 0.48 to 0.53 * Notable Separation: 0.53 to 0.57 * Lopsided: 0.57 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 0.65 * Some Carryover: 0.65 to 0.72 * Strong Carryover: 0.72 to 0.81 * Near-Lock: 0.81 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 14% * As Expected: 14% to 16.5% * Upset-Prone: 16.5% to 19% * Very Upset-Prone: 19% 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 16.5% * Very Shaky: 16.5% and up.
Brier Score
Expected
0.49
Highly Predictable
00.532
Matchup Imbalance
0.58
Lopsided
00.5
Strangeness
Expected
0.81
As Expected
01.002
Repeatability
0.59
Weak Carryover
00.650.811
Upset Rate
Expected
10%
Chalky
0%16%50%
Clear Favorite Upset Rate
Expected
10%
Solid Favorites
0%13%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 0.14 * Near Noise Ceiling: 0.14 to 0.21 * Above Noise: 0.21 to 0.28 * Well Above Noise: 0.28 and up.
Probability calibration
0.67
Excellent
0.010.050.10.51
Calibration slope
Ideal
1.36
Very Underconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.082
Well Within Noise
00.1420.4

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).

Team12345678
Ekranas59.00%26.00%12.00%3.00%————
Vetra21.00%37.00%32.00%10.00%————
Suduva20.00%34.00%42.00%3.00%1.00%———
FK Siauliai—3.00%14.00%73.00%8.00%1.00%1.00%—
Tauras Taurage———11.00%65.00%17.00%4.00%3.00%
Banga Gargzdai————19.00%40.00%26.00%15.00%
Atletas Kaunas————6.00%30.00%36.00%28.00%
Kruoja Pakruojis————1.00%12.00%33.00%54.00%

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
Atletas Kaunas 100%
Banga Gargzdai 100%
Ekranas 100%
FK Siauliai 100%
Kruoja Pakruojis 100%
Suduva 100%
Tauras Taurage 100%
Vetra 100%

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
2009-04-04 Atletas Kaunas W 3-149.5 1525 1448 52.96% 25.89% 21.15%+0.59 +24.1 3
2009-04-04 @ Vetra L 1-349.5 1448 1525 21.15% 25.89% 52.96%-0.59 -24.1 0
2009-04-04 Banga Gargzdai W 4-033.6 1532 1320 64.96% 24.01% 11.03%+1.22 +29.5 3
2009-04-04 @ Suduva L 0-433.6 1320 1532 11.03% 24.01% 64.96%-1.22 -29.5 0
2009-04-04 Kruoja Pakruojis W 4-042.2 1628 1448 62.57% 24.55% 12.88%+1.08 +34.1 3
2009-04-04 @ Ekranas L 0-442.2 1448 1628 12.88% 24.55% 62.57%-1.08 -34.1 0
2009-04-04 Tauras Taurage W 1-038.1 1410 1290 57.42% 25.40% 17.18%+0.80 +12.4 3
2009-04-04 @ FK Siauliai L 0-138.1 1290 1410 17.18% 25.40% 57.42%-0.80 -12.3 0
2009-04-11 Ekranas D 1-166.2 1424 1662 15.79% 25.17% 59.04%-0.88 +5.8 1
2009-04-11 @ Atletas Kaunas D 1-166.2 1662 1424 59.04% 25.17% 15.79%+0.88 -5.8 4
2009-04-11 Kruoja Pakruojis W 2-150.0 1423 1414 44.79% 26.37% 28.84%+0.27 +17.8 6
2009-04-11 @ FK Siauliai L 1-250.0 1414 1423 28.84% 26.37% 44.79%-0.27 -17.8 0
2009-04-11 Suduva L 0-236.5 1277 1561 12.62% 24.48% 62.90%-1.09 -17.6 0
2009-04-11 @ Tauras Taurage W 2-036.5 1561 1277 62.90% 24.48% 12.62%+1.09 +17.6 6
2009-04-11 Vetra L 0-534.6 1291 1549 14.30% 24.88% 60.81%-0.97 -46.3 0
2009-04-11 @ Banga Gargzdai W 5-034.6 1549 1291 60.81% 24.88% 14.30%+0.97 +46.3 6
2009-04-18 Atletas Kaunas D 1-156.9 1396 1430 39.07% 26.50% 34.43%+0.08 -0.6 1
2009-04-18 @ Kruoja Pakruojis D 1-156.9 1430 1396 34.43% 26.50% 39.07%-0.08 +0.5 2
2009-04-18 Banga Gargzdai W 1-037.0 1656 1245 76.20% 19.66% 4.14%+2.16 +3.0 7
2009-04-18 @ Ekranas L 0-137.0 1245 1656 4.14% 19.66% 76.20%-2.16 -3.0 0
2009-04-18 FK Siauliai W 1-046.4 1579 1441 59.08% 25.17% 15.75%+0.88 +11.5 9
2009-04-18 @ Suduva L 0-146.4 1441 1579 15.75% 25.17% 59.08%-0.88 -11.5 6
2009-04-18 Tauras Taurage W 1-036.7 1596 1260 72.55% 21.45% 6.00%+1.80 +4.4 9
2009-04-18 @ Vetra L 0-136.7 1260 1596 6.00% 21.45% 72.55%-1.80 -4.4 0
2009-04-26 Atletas Kaunas W 1-049.0 1242 1431 19.99% 25.77% 54.25%-0.65 +31.3 3
2009-04-26 @ Banga Gargzdai L 0-149.0 1431 1242 54.25% 25.77% 19.99%+0.65 -31.3 2
2009-04-26 Ekranas L 0-139.1 1255 1659 7.00% 22.16% 70.84%-1.66 -5.2 0
2009-04-26 @ Tauras Taurage W 1-039.1 1659 1255 70.84% 22.16% 7.00%+1.66 +5.2 10
2009-04-26 Kruoja Pakruojis W 6-039.0 1590 1396 63.72% 24.30% 11.98%+1.14 +46.7 12
2009-04-26 @ Suduva L 0-639.0 1396 1590 11.98% 24.30% 63.72%-1.14 -46.7 1
2009-04-26 Vetra W 2-163.5 1429 1600 21.74% 25.94% 52.31%-0.57 +28.5 9
2009-04-26 @ FK Siauliai L 1-263.5 1600 1429 52.31% 25.94% 21.74%+0.57 -28.5 9
2009-05-02 Banga Gargzdai W 2-036.0 1349 1273 52.88% 25.90% 21.22%+0.59 +27.9 4
2009-05-02 @ Kruoja Pakruojis L 0-236.0 1273 1349 21.22% 25.90% 52.88%-0.59 -27.9 3
2009-05-02 FK Siauliai W 2-045.6 1665 1458 64.64% 24.09% 11.27%+1.20 +15.9 13
2009-05-02 @ Ekranas L 0-245.6 1458 1665 11.27% 24.09% 64.64%-1.20 -15.9 9
2009-05-02 Suduva D 0-064.6 1571 1637 34.52% 26.50% 38.98%-0.07 +0.6 10
2009-05-02 @ Vetra D 0-064.6 1637 1571 38.98% 26.50% 34.52%+0.07 -0.6 13
2009-05-02 Tauras Taurage L 0-345.7 1399 1250 60.02% 25.02% 14.96%+0.93 -94.2 2
2009-05-02 @ Atletas Kaunas W 3-045.7 1250 1399 14.96% 25.02% 60.02%-0.93 +94.2 3
2009-05-09 Atletas Kaunas L 0-151.3 1442 1305 58.91% 25.19% 15.89%+0.87 -33.8 9
2009-05-09 @ FK Siauliai W 1-051.3 1305 1442 15.89% 25.19% 58.91%-0.87 +33.8 5
2009-05-09 Banga Gargzdai D 0-049.2 1344 1245 55.31% 25.66% 19.03%+0.70 -5.3 4
2009-05-09 @ Tauras Taurage D 0-049.2 1245 1344 19.03% 25.66% 55.31%-0.70 +5.3 4
2009-05-09 Ekranas D 1-171.0 1637 1681 37.61% 26.51% 35.89%+0.03 -0.2 14
2009-05-09 @ Suduva D 1-171.0 1681 1637 35.89% 26.51% 37.61%-0.03 +0.2 14
2009-05-09 Kruoja Pakruojis W 6-139.9 1572 1377 63.75% 24.30% 11.95%+1.15 +32.5 13
2009-05-09 @ Vetra L 1-639.9 1377 1572 11.95% 24.30% 63.75%-1.15 -32.5 4
2009-05-17 FK Siauliai W 3-258.3 1250 1408 23.14% 26.06% 50.80%-0.50 +26.4 7
2009-05-17 @ Banga Gargzdai L 2-358.3 1408 1250 50.80% 26.06% 23.14%+0.50 -26.4 9
2009-05-23 Suduva L 2-741.8 1339 1636 11.81% 24.25% 63.94%-1.16 -26.9 5
2009-05-23 @ Atletas Kaunas W 7-241.8 1636 1339 63.94% 24.25% 11.81%+1.16 +26.9 17
2009-05-23 Tauras Taurage D 2-260.0 1345 1339 44.40% 26.39% 29.22%+0.26 -1.4 5
2009-05-23 @ Kruoja Pakruojis D 2-260.0 1339 1345 29.22% 26.39% 44.40%-0.26 +1.4 5
2009-05-23 Vetra L 2-375.4 1681 1605 52.88% 25.90% 21.22%+0.59 -27.3 14
2009-05-23 @ Ekranas W 3-275.4 1605 1681 21.22% 25.90% 52.88%-0.59 +27.3 16
2009-05-26 Ekranas D 2-268.9 1343 1653 11.09% 24.03% 64.88%-1.22 +5.5 6
2009-05-26 @ Kruoja Pakruojis D 2-268.9 1653 1343 64.88% 24.03% 11.09%+1.22 -5.5 15
2009-05-26 FK Siauliai W 1-044.2 1340 1382 38.01% 26.50% 35.49%+0.04 +22.1 8
2009-05-26 @ Tauras Taurage L 0-144.2 1382 1340 35.49% 26.50% 38.01%-0.04 -22.1 9
2009-05-26 Suduva D 0-057.1 1277 1663 7.64% 22.54% 69.83%-1.57 +9.8 8
2009-05-26 @ Banga Gargzdai D 0-057.1 1663 1277 69.83% 22.54% 7.64%+1.57 -9.8 18
2009-05-26 Vetra L 0-239.0 1312 1632 10.58% 23.86% 65.56%-1.26 -14.9 5
2009-05-26 @ Atletas Kaunas W 2-039.0 1632 1312 65.56% 23.86% 10.58%+1.26 +14.9 19
2009-06-10 Atletas Kaunas W 3-034.8 1648 1297 73.31% 21.11% 5.58%+1.87 +11.2 18
2009-06-10 @ Ekranas L 0-334.8 1297 1648 5.58% 21.11% 73.31%-1.87 -11.2 5
2009-06-10 Banga Gargzdai D 2-267.5 1647 1287 73.78% 20.89% 5.33%+1.92 -7.2 20
2009-06-10 @ Vetra D 2-267.5 1287 1647 5.33% 20.89% 73.78%-1.92 +7.2 9
2009-06-10 FK Siauliai L 0-540.9 1349 1359 42.23% 26.45% 31.32%+0.18 -111.2 6
2009-06-10 @ Kruoja Pakruojis W 5-040.9 1359 1349 31.32% 26.45% 42.23%-0.18 +111.2 12
2009-06-10 Tauras Taurage W 3-038.4 1653 1363 70.08% 22.44% 7.47%+1.59 +15.3 21
2009-06-10 @ Suduva L 0-338.4 1363 1653 7.47% 22.44% 70.08%-1.59 -15.3 8
2009-06-14 Ekranas L 1-246.6 1294 1659 8.47% 22.98% 68.56%-1.48 -6.0 9
2009-06-14 @ Banga Gargzdai W 2-146.6 1659 1294 68.56% 22.98% 8.47%+1.48 +6.0 21
2009-06-14 Kruoja Pakruojis W 3-249.5 1286 1238 49.72% 26.13% 24.15%+0.46 +14.7 8
2009-06-14 @ Atletas Kaunas L 2-349.5 1238 1286 24.15% 26.13% 49.72%-0.46 -14.7 6
2009-06-14 Suduva L 0-151.7 1471 1669 19.14% 25.67% 55.19%-0.69 -13.5 12
2009-06-14 @ FK Siauliai W 1-051.7 1669 1471 55.19% 25.67% 19.14%+0.69 +13.5 24
2009-06-14 Vetra D 1-162.8 1347 1640 12.11% 24.34% 63.55%-1.13 +7.1 9
2009-06-14 @ Tauras Taurage D 1-162.8 1640 1347 63.55% 24.34% 12.11%+1.13 -7.1 21
2009-06-17 Banga Gargzdai L 0-243.1 1301 1288 45.33% 26.35% 28.31%+0.29 -50.4 8
2009-06-17 @ Atletas Kaunas W 2-043.1 1288 1301 28.31% 26.35% 45.33%-0.29 +50.4 12
2009-06-17 FK Siauliai W 2-153.5 1633 1457 62.22% 24.62% 13.16%+1.05 +9.2 24
2009-06-17 @ Vetra L 1-253.5 1457 1633 13.16% 24.62% 62.22%-1.05 -9.2 12
2009-06-17 Suduva L 0-137.9 1223 1682 5.35% 20.91% 73.75%-1.92 -3.9 6
2009-06-17 @ Kruoja Pakruojis W 1-037.9 1682 1223 73.75% 20.91% 5.35%+1.92 +3.9 27
2009-06-17 Tauras Taurage W 2-148.2 1665 1354 71.21% 22.01% 6.78%+1.69 +4.8 24
2009-06-17 @ Ekranas L 1-248.2 1354 1665 6.78% 22.01% 71.21%-1.69 -4.8 9
2009-06-21 Atletas Kaunas W 1-037.8 1350 1250 55.33% 25.66% 19.02%+0.70 +13.5 12
2009-06-21 @ Tauras Taurage L 0-137.8 1250 1350 19.02% 25.66% 55.33%-0.70 -13.5 8
2009-06-21 Ekranas L 0-150.3 1448 1670 17.07% 25.39% 57.55%-0.80 -12.3 12
2009-06-21 @ FK Siauliai W 1-050.3 1670 1448 57.55% 25.39% 17.07%+0.80 +12.3 27
2009-06-21 Kruoja Pakruojis W 3-032.4 1338 1219 57.29% 25.42% 17.29%+0.79 +34.0 15
2009-06-21 @ Banga Gargzdai L 0-332.4 1219 1338 17.29% 25.42% 57.29%-0.79 -34.0 6
2009-06-21 Vetra D 1-171.2 1686 1642 49.27% 26.16% 24.57%+0.44 -3.1 28
2009-06-21 @ Suduva D 1-171.2 1642 1686 24.57% 26.16% 49.27%-0.44 +3.1 25
2009-06-28 FK Siauliai L 0-235.7 1237 1436 19.05% 25.66% 55.29%-0.70 -25.5 8
2009-06-28 @ Atletas Kaunas W 2-035.7 1436 1237 55.29% 25.66% 19.05%+0.70 +25.5 15
2009-06-28 Suduva D 2-277.1 1682 1683 43.54% 26.41% 30.04%+0.23 -1.2 28
2009-06-28 @ Ekranas D 2-277.1 1683 1682 30.04% 26.41% 43.54%-0.23 +1.2 29
2009-06-28 Tauras Taurage D 1-155.1 1372 1363 44.87% 26.37% 28.75%+0.28 -2.0 16
2009-06-28 @ Banga Gargzdai D 1-155.1 1363 1372 28.75% 26.37% 44.87%-0.28 +2.0 13
2009-06-28 Vetra L 0-331.1 1185 1645 5.33% 20.90% 73.77%-1.92 -10.7 6
2009-06-28 @ Kruoja Pakruojis W 3-031.1 1645 1185 73.77% 20.90% 5.33%+1.92 +10.7 28
2009-07-05 Atletas Kaunas W 2-033.4 1684 1211 78.78% 18.16% 3.07%+2.45 +4.0 32
2009-07-05 @ Suduva L 0-233.4 1211 1684 3.07% 18.16% 78.78%-2.45 -4.0 8
2009-07-05 Banga Gargzdai W 4-036.2 1461 1370 54.45% 25.75% 19.80%+0.66 +49.9 18
2009-07-05 @ FK Siauliai L 0-436.2 1370 1461 19.80% 25.75% 54.45%-0.66 -49.9 16
2009-07-05 Kruoja Pakruojis W 2-032.3 1365 1174 63.43% 24.37% 12.20%+1.13 +17.1 16
2009-07-05 @ Tauras Taurage L 0-232.3 1174 1365 12.20% 24.37% 63.43%-1.13 -17.1 6
2009-07-26 Atletas Kaunas W 4-135.8 1656 1207 77.77% 18.77% 3.46%+2.33 +5.6 31
2009-07-26 @ Vetra L 1-435.8 1207 1656 3.46% 18.77% 77.77%-2.33 -5.6 8
2009-07-26 Banga Gargzdai D 1-164.7 1688 1320 74.16% 20.71% 5.13%+1.96 -9.8 33
2009-07-26 @ Suduva D 1-164.7 1320 1688 5.13% 20.71% 74.16%-1.96 +9.8 17
2009-07-26 Kruoja Pakruojis W 3-029.2 1681 1157 80.71% 16.90% 2.39%+2.68 +4.4 31
2009-07-26 @ Ekranas L 0-329.2 1157 1681 2.39% 16.90% 80.71%-2.68 -4.4 6
2009-07-26 Tauras Taurage W 2-039.5 1511 1382 58.21% 25.30% 16.50%+0.84 +22.5 21
2009-07-26 @ FK Siauliai L 0-239.5 1382 1511 16.50% 25.30% 58.21%-0.84 -22.5 16
2009-08-02 Ekranas L 0-332.4 1202 1685 4.75% 20.33% 74.92%-2.03 -9.5 8
2009-08-02 @ Atletas Kaunas W 3-032.4 1685 1202 74.92% 20.33% 4.75%+2.03 +9.5 34
2009-08-02 Kruoja Pakruojis D 0-051.7 1534 1153 74.78% 20.40% 4.82%+2.02 -11.1 22
2009-08-02 @ FK Siauliai D 0-051.7 1153 1534 4.82% 20.40% 74.78%-2.02 +11.1 7
2009-08-02 Suduva W 1-061.7 1360 1679 10.63% 23.87% 65.50%-1.26 +37.4 19
2009-08-02 @ Tauras Taurage L 0-161.7 1679 1360 65.50% 23.87% 10.63%+1.26 -37.4 33
2009-08-02 Vetra L 0-143.2 1330 1661 10.02% 23.65% 66.34%-1.31 -7.5 17
2009-08-02 @ Banga Gargzdai W 1-043.2 1661 1330 66.34% 23.65% 10.02%+1.31 +7.5 34
2009-08-09 Atletas Kaunas W 2-147.1 1164 1192 39.81% 26.49% 33.70%+0.10 +20.0 10
2009-08-09 @ Kruoja Pakruojis L 1-247.1 1192 1164 33.70% 26.49% 39.81%-0.10 -20.0 8
2009-08-09 Banga Gargzdai W 3-037.2 1695 1323 74.37% 20.61% 5.02%+1.97 +10.0 37
2009-08-09 @ Ekranas L 0-337.2 1323 1695 5.02% 20.61% 74.37%-1.97 -10.0 17
2009-08-09 FK Siauliai W 5-150.3 1641 1522 57.24% 25.43% 17.34%+0.79 +37.1 36
2009-08-09 @ Suduva L 1-550.3 1522 1641 17.34% 25.43% 57.24%-0.79 -37.1 22
2009-08-09 Tauras Taurage W 2-150.6 1669 1397 68.94% 22.85% 8.21%+1.50 +5.8 37
2009-08-09 @ Vetra L 1-250.6 1397 1669 8.21% 22.85% 68.94%-1.50 -5.8 19
2009-08-16 Atletas Kaunas L 0-149.2 1313 1172 59.25% 25.14% 15.60%+0.89 -34.0 17
2009-08-16 @ Banga Gargzdai W 1-049.2 1172 1313 15.60% 25.14% 59.25%-0.89 +34.0 11
2009-08-16 Ekranas D 1-166.9 1391 1705 10.91% 23.97% 65.12%-1.23 +7.5 20
2009-08-16 @ Tauras Taurage D 1-166.9 1705 1391 65.12% 23.97% 10.91%+1.23 -7.5 38
2009-08-16 Kruoja Pakruojis W 3-137.7 1678 1184 79.61% 17.63% 2.76%+2.55 +3.1 39
2009-08-16 @ Suduva L 1-337.7 1184 1678 2.76% 17.63% 79.61%-2.55 -3.1 10
2009-08-16 Vetra W 1-062.8 1485 1674 19.96% 25.77% 54.27%-0.65 +31.3 25
2009-08-16 @ FK Siauliai L 0-162.8 1674 1485 54.27% 25.77% 19.96%+0.65 -31.3 37
2009-08-23 FK Siauliai W 2-048.6 1697 1517 62.64% 24.53% 12.82%+1.08 +17.9 41
2009-08-23 @ Ekranas L 0-248.6 1517 1697 12.82% 24.53% 62.64%-1.08 -17.9 25
2009-08-23 Kruoja Pakruojis W 4-244.0 1279 1181 55.17% 25.67% 19.16%+0.69 +19.8 20
2009-08-23 @ Banga Gargzdai L 2-444.0 1181 1279 19.16% 25.67% 55.17%-0.69 -19.8 10
2009-08-23 Suduva W 2-057.6 1643 1681 38.42% 26.50% 35.07%+0.05 +41.3 40
2009-08-23 @ Vetra L 0-257.6 1681 1643 35.07% 26.50% 38.42%-0.05 -41.3 39
2009-08-23 Tauras Taurage L 0-138.0 1206 1399 19.63% 25.73% 54.64%-0.67 -13.8 11
2009-08-23 @ Atletas Kaunas W 1-038.0 1399 1206 54.64% 25.73% 19.63%+0.67 +13.9 23
2009-08-29 Atletas Kaunas D 1-155.8 1499 1192 70.97% 22.11% 6.92%+1.67 -9.0 26
2009-08-29 @ FK Siauliai D 1-155.8 1192 1499 6.92% 22.11% 70.97%-1.67 +9.0 12
2009-08-29 Ekranas D 1-171.4 1640 1715 33.21% 26.48% 40.30%-0.12 +0.8 40
2009-08-29 @ Suduva D 1-171.4 1715 1640 40.30% 26.48% 33.21%+0.12 -0.8 42
2009-08-29 Kruoja Pakruojis W 3-029.4 1684 1161 80.70% 16.91% 2.39%+2.68 +4.4 43
2009-08-29 @ Vetra L 0-329.4 1161 1684 2.39% 16.91% 80.70%-2.68 -4.4 10
2009-09-05 FK Siauliai L 1-245.9 1298 1490 19.76% 25.74% 54.50%-0.66 -13.1 20
2009-09-05 @ Banga Gargzdai W 2-145.9 1490 1298 54.50% 25.74% 19.76%+0.66 +13.1 29
2009-09-05 Tauras Taurage L 0-331.4 1156 1413 14.46% 24.92% 60.62%-0.96 -29.0 10
2009-09-05 @ Kruoja Pakruojis W 3-031.4 1413 1156 60.62% 24.92% 14.46%+0.96 +29.0 26
2009-09-13 Ekranas D 2-265.6 1127 1714 2.87% 17.81% 79.32%-2.51 +8.0 11
2009-09-13 @ Kruoja Pakruojis D 2-265.6 1714 1127 79.32% 17.81% 2.87%+2.51 -8.0 43
2009-09-13 FK Siauliai L 0-149.9 1442 1503 35.14% 26.50% 38.35%-0.05 -21.9 26
2009-09-13 @ Tauras Taurage W 1-049.9 1503 1442 38.35% 26.50% 35.14%+0.05 +21.9 32
2009-09-13 Suduva D 1-161.0 1285 1641 8.88% 23.17% 67.95%-1.43 +8.3 21
2009-09-13 @ Banga Gargzdai D 1-161.0 1641 1285 67.95% 23.17% 8.88%+1.43 -8.3 41
2009-09-13 Vetra L 0-137.0 1201 1689 4.66% 20.24% 75.10%-2.05 -3.4 12
2009-09-13 @ Atletas Kaunas W 1-037.0 1689 1201 75.10% 20.24% 4.66%+2.05 +3.4 46
2009-09-16 Ekranas D 0-067.2 1692 1706 41.77% 26.46% 31.78%+0.17 -1.3 47
2009-09-16 @ Vetra D 0-067.2 1706 1692 31.78% 26.46% 41.77%-0.17 +1.3 44
2009-09-20 Atletas Kaunas W 3-031.4 1708 1198 80.19% 17.25% 2.56%+2.62 +4.8 47
2009-09-20 @ Ekranas L 0-331.4 1198 1708 2.56% 17.25% 80.19%-2.62 -4.8 12
2009-09-20 Banga Gargzdai W 2-037.5 1691 1294 75.55% 20.01% 4.44%+2.09 +6.0 50
2009-09-20 @ Vetra L 0-237.5 1294 1691 4.44% 20.01% 75.55%-2.09 -6.0 21
2009-09-20 FK Siauliai L 1-336.8 1135 1525 7.53% 22.48% 70.00%-1.59 -9.2 11
2009-09-20 @ Kruoja Pakruojis W 3-136.8 1525 1135 70.00% 22.48% 7.53%+1.59 +9.2 35
2009-09-20 Tauras Taurage D 0-060.8 1633 1420 65.07% 23.98% 10.94%+1.23 -8.4 42
2009-09-20 @ Suduva D 0-060.8 1420 1633 10.94% 23.98% 65.07%-1.23 +8.4 27
2009-09-27 Ekranas L 1-540.4 1287 1713 6.32% 21.69% 71.98%-1.75 -14.0 21
2009-09-27 @ Banga Gargzdai W 5-140.4 1713 1287 71.98% 21.69% 6.32%+1.75 +14.0 50
2009-09-27 Kruoja Pakruojis W 2-143.4 1193 1126 51.86% 25.98% 22.16%+0.55 +14.4 15
2009-09-27 @ Atletas Kaunas L 1-243.4 1126 1193 22.16% 25.98% 51.86%-0.55 -14.4 11
2009-09-27 Suduva D 1-168.0 1534 1624 31.17% 26.44% 42.39%-0.19 +1.4 36
2009-09-27 @ FK Siauliai D 1-168.0 1624 1534 42.39% 26.44% 31.17%+0.19 -1.4 43
2009-09-27 Vetra D 0-063.0 1428 1697 13.58% 24.72% 61.70%-1.02 +7.3 28
2009-09-27 @ Tauras Taurage D 0-063.0 1697 1428 61.70% 24.72% 13.58%+1.02 -7.3 51
2009-09-30 Vetra D 1-171.9 1726 1690 48.35% 26.22% 25.43%+0.41 -2.9 51
2009-09-30 @ Ekranas D 1-171.9 1690 1726 25.43% 26.22% 48.35%-0.41 +2.9 52
2009-10-03 Banga Gargzdai L 1-247.6 1208 1273 34.49% 26.50% 39.02%-0.07 -20.4 15
2009-10-03 @ Atletas Kaunas W 2-147.6 1273 1208 39.02% 26.50% 34.49%+0.07 +20.4 24
2009-10-04 FK Siauliai W 5-255.2 1693 1535 60.72% 24.90% 14.38%+0.97 +21.1 55
2009-10-04 @ Vetra L 2-555.2 1535 1693 14.38% 24.90% 60.72%-0.97 -21.1 36
2009-10-04 Suduva L 0-133.0 1112 1623 4.15% 19.68% 76.17%-2.16 -3.0 11
2009-10-04 @ Kruoja Pakruojis W 1-033.0 1623 1112 76.17% 19.68% 4.15%+2.16 +3.0 46
2009-10-04 Tauras Taurage W 1-047.8 1724 1435 69.93% 22.50% 7.57%+1.58 +5.7 54
2009-10-04 @ Ekranas L 0-147.8 1435 1724 7.57% 22.50% 69.93%-1.58 -5.7 28
2009-10-07 Suduva L 0-430.3 1187 1626 5.91% 21.39% 72.70%-1.82 -15.6 15
2009-10-07 @ Atletas Kaunas W 4-030.3 1626 1187 72.70% 21.39% 5.91%+1.82 +15.6 49
2009-10-18 Atletas Kaunas W 3-029.4 1430 1172 68.10% 23.12% 8.77%+1.44 +18.0 31
2009-10-18 @ Tauras Taurage L 0-329.4 1172 1430 8.77% 23.12% 68.10%-1.44 -18.0 15
2009-10-18 Banga Gargzdai L 1-243.0 1109 1294 20.35% 25.81% 53.85%-0.63 -13.5 11
2009-10-18 @ Kruoja Pakruojis W 2-143.0 1294 1109 53.85% 25.81% 20.35%+0.63 +13.5 27
2009-10-18 Ekranas L 0-349.0 1514 1729 17.63% 25.47% 56.90%-0.77 -34.6 36
2009-10-18 @ FK Siauliai W 3-049.0 1729 1514 56.90% 25.47% 17.63%+0.77 +34.6 57
2009-10-18 Vetra D 1-171.4 1642 1714 33.63% 26.49% 39.88%-0.10 +0.7 50
2009-10-18 @ Suduva D 1-171.4 1714 1642 39.88% 26.49% 33.63%+0.10 -0.7 56
2009-10-25 Banga Gargzdai W 1-038.1 1448 1307 59.24% 25.14% 15.61%+0.89 +11.4 34
2009-10-25 @ Tauras Taurage L 0-138.1 1307 1448 15.61% 25.14% 59.24%-0.89 -11.4 27
2009-10-25 FK Siauliai L 1-435.2 1154 1480 10.26% 23.74% 65.99%-1.29 -17.8 15
2009-10-25 @ Atletas Kaunas W 4-135.2 1480 1154 65.99% 23.74% 10.26%+1.29 +17.8 39
2009-10-25 Suduva W 4-262.0 1764 1642 57.51% 25.39% 17.09%+0.80 +18.0 60
2009-10-25 @ Ekranas L 2-462.0 1642 1764 17.09% 25.39% 57.51%-0.80 -18.0 50
2009-10-25 Tauras Taurage L 0-238.1 1296 1459 22.56% 26.01% 51.43%-0.53 -29.3 27
2009-10-25 @ Banga Gargzdai W 2-038.1 1459 1296 51.43% 26.01% 22.56%+0.53 +29.3 37
2009-10-25 Vetra D 2-264.9 1095 1713 2.46% 17.06% 80.48%-2.66 +8.1 12
2009-10-25 @ Kruoja Pakruojis D 2-264.9 1713 1095 80.48% 17.06% 2.46%+2.66 -8.1 57
2009-10-31 Atletas Kaunas W 4-239.2 1624 1136 79.38% 17.77% 2.84%+2.52 +2.9 53
2009-10-31 @ Suduva L 2-439.2 1136 1624 2.84% 17.77% 79.38%-2.52 -2.8 15
2009-10-31 Banga Gargzdai W 3-031.9 1497 1267 66.31% 23.66% 10.04%+1.31 +20.6 42
2009-10-31 @ FK Siauliai L 0-331.9 1267 1497 10.04% 23.66% 66.31%-1.31 -20.6 27
2009-10-31 Ekranas L 1-266.2 1705 1782 32.95% 26.48% 40.57%-0.13 -19.7 57
2009-10-31 @ Vetra W 2-166.2 1782 1705 40.57% 26.48% 32.95%+0.13 +19.7 63
2009-10-31 Kruoja Pakruojis D 1-155.4 1488 1103 74.97% 20.31% 4.72%+2.03 -9.9 38
2009-10-31 @ Tauras Taurage D 1-155.4 1103 1488 4.72% 20.31% 74.97%-2.03 +9.9 13

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 2009-08-02 10.63% @ Tauras Taurage 1360 1 Suduva 1679 0
2 2009-05-02 14.96% Tauras Taurage 1250 3 @ Atletas Kaunas 1399 0
3 2009-08-16 15.60% Atletas Kaunas 1172 1 @ Banga Gargzdai 1313 0
4 2009-05-09 15.89% Atletas Kaunas 1305 1 @ FK Siauliai 1442 0
5 2009-08-16 19.96% @ FK Siauliai 1485 1 Vetra 1674 0
6 2009-04-26 19.99% @ Banga Gargzdai 1242 1 Atletas Kaunas 1431 0
7 2009-05-23 21.22% Vetra 1605 3 @ Ekranas 1681 2
8 2009-04-26 21.74% @ FK Siauliai 1429 2 Vetra 1600 1
9 2009-05-17 23.14% @ Banga Gargzdai 1250 3 FK Siauliai 1408 2
10 2009-06-17 28.31% Banga Gargzdai 1288 2 @ Atletas Kaunas 1301 0
11 2009-06-10 31.32% FK Siauliai 1359 5 @ Kruoja Pakruojis 1349 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 2009-06-10 111.20 FK Siauliai 5 1359 31.32% @ Kruoja Pakruojis 0 1349 42.23% 26.45%
2 2009-05-02 94.23 Tauras Taurage 3 1250 14.96% @ Atletas Kaunas 0 1399 60.02% 25.02%
3 2009-06-17 50.38 Banga Gargzdai 2 1288 28.31% @ Atletas Kaunas 0 1301 45.33% 26.35%
4 2009-07-05 49.91 @ FK Siauliai 4 1461 54.45% Banga Gargzdai 0 1370 19.80% 25.75%
5 2009-04-26 46.67 @ Suduva 6 1590 63.72% Kruoja Pakruojis 0 1396 11.98% 24.30%
6 2009-04-11 46.31 Vetra 5 1549 60.81% @ Banga Gargzdai 0 1291 14.30% 24.88%
7 2009-08-23 41.30 @ Vetra 2 1643 38.42% Suduva 0 1681 35.07% 26.50%
8 2009-08-02 37.39 @ Tauras Taurage 1 1360 10.63% Suduva 0 1679 65.50% 23.87%
9 2009-08-09 37.13 @ Suduva 5 1641 57.24% FK Siauliai 1 1522 17.34% 25.43%
10 2009-10-18 34.62 Ekranas 3 1729 56.90% @ FK Siauliai 0 1514 17.63% 25.47%
11 2009-04-04 34.12 @ Ekranas 4 1628 62.57% Kruoja Pakruojis 0 1448 12.88% 24.55%
12 2009-06-21 34.03 @ Banga Gargzdai 3 1338 57.29% Kruoja Pakruojis 0 1219 17.29% 25.42%
13 2009-08-16 33.99 Atletas Kaunas 1 1172 15.60% @ Banga Gargzdai 0 1313 59.25% 25.14%
14 2009-05-09 33.80 Atletas Kaunas 1 1305 15.89% @ FK Siauliai 0 1442 58.91% 25.19%
15 2009-05-09 32.48 @ Vetra 6 1572 63.75% Kruoja Pakruojis 1 1377 11.95% 24.30%
16 2009-08-16 31.30 @ FK Siauliai 1 1485 19.96% Vetra 0 1674 54.27% 25.77%
17 2009-04-26 31.28 @ Banga Gargzdai 1 1242 19.99% Atletas Kaunas 0 1431 54.25% 25.77%
18 2009-04-04 29.47 @ Suduva 4 1532 64.96% Banga Gargzdai 0 1320 11.03% 24.01%
19 2009-10-25 29.30 Tauras Taurage 2 1459 51.43% @ Banga Gargzdai 0 1296 22.56% 26.01%
20 2009-09-05 29.05 Tauras Taurage 3 1413 60.62% @ Kruoja Pakruojis 0 1156 14.46% 24.92%
21 2009-04-26 28.53 @ FK Siauliai 2 1429 21.74% Vetra 1 1600 52.31% 25.94%
22 2009-05-02 27.87 @ Kruoja Pakruojis 2 1349 52.88% Banga Gargzdai 0 1273 21.22% 25.90%
23 2009-05-23 27.33 Vetra 3 1605 21.22% @ Ekranas 2 1681 52.88% 25.90%
24 2009-05-23 26.86 Suduva 7 1636 63.94% @ Atletas Kaunas 2 1339 11.81% 24.25%
25 2009-05-17 26.36 @ Banga Gargzdai 3 1250 23.14% FK Siauliai 2 1408 50.80% 26.06%

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 2009-06-28 77.1 @ Ekranas 2 1682 43.54% Suduva 2 1683 30.04% 26.41%
2 2009-05-23 75.4 Vetra 3 1605 21.22% @ Ekranas 2 1681 52.88% 25.90%
3 2009-09-30 71.9 @ Ekranas 1 1726 48.35% Vetra 1 1690 25.43% 26.22%
4 2009-08-29 71.4 @ Suduva 1 1640 33.21% Ekranas 1 1715 40.30% 26.48%
5 2009-10-18 71.4 @ Suduva 1 1642 33.63% Vetra 1 1714 39.88% 26.49%
6 2009-06-21 71.2 @ Suduva 1 1686 49.27% Vetra 1 1642 24.57% 26.16%
7 2009-05-09 71.0 @ Suduva 1 1637 37.61% Ekranas 1 1681 35.89% 26.51%
8 2009-05-26 68.9 @ Kruoja Pakruojis 2 1343 11.09% Ekranas 2 1653 64.88% 24.03%
9 2009-09-27 68.0 @ FK Siauliai 1 1534 31.17% Suduva 1 1624 42.39% 26.44%
10 2009-06-10 67.5 @ Vetra 2 1647 73.78% Banga Gargzdai 2 1287 5.33% 20.89%
11 2009-09-16 67.2 @ Vetra 0 1692 41.77% Ekranas 0 1706 31.78% 26.46%
12 2009-08-16 66.9 @ Tauras Taurage 1 1391 10.91% Ekranas 1 1705 65.12% 23.97%
13 2009-04-11 66.2 @ Atletas Kaunas 1 1424 15.79% Ekranas 1 1662 59.04% 25.17%
14 2009-10-31 66.2 Ekranas 2 1782 40.57% @ Vetra 1 1705 32.95% 26.48%
15 2009-09-13 65.6 @ Kruoja Pakruojis 2 1127 2.87% Ekranas 2 1714 79.32% 17.81%
16 2009-10-25 64.9 @ Kruoja Pakruojis 2 1095 2.46% Vetra 2 1713 80.48% 17.06%
17 2009-07-26 64.7 @ Suduva 1 1688 74.16% Banga Gargzdai 1 1320 5.13% 20.71%
18 2009-05-02 64.6 @ Vetra 0 1571 34.52% Suduva 0 1637 38.98% 26.50%
19 2009-04-26 63.5 @ FK Siauliai 2 1429 21.74% Vetra 1 1600 52.31% 25.94%
20 2009-09-27 63.0 @ Tauras Taurage 0 1428 13.58% Vetra 0 1697 61.70% 24.72%
21 2009-06-14 62.8 @ Tauras Taurage 1 1347 12.11% Vetra 1 1640 63.55% 24.34%
22 2009-08-16 62.8 @ FK Siauliai 1 1485 19.96% Vetra 0 1674 54.27% 25.77%
23 2009-10-25 62.0 @ Ekranas 4 1764 57.51% Suduva 2 1642 17.09% 25.39%
24 2009-08-02 61.7 @ Tauras Taurage 1 1360 10.63% Suduva 0 1679 65.50% 23.87%
25 2009-09-13 61.0 @ Banga Gargzdai 1 1285 8.88% Suduva 1 1641 67.95% 23.17%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2009-07-26 29.2 @ Ekranas 3 1681 80.71% Kruoja Pakruojis 0 1157 2.39% 16.90%
2 2009-08-29 29.4 @ Vetra 3 1684 80.70% Kruoja Pakruojis 0 1161 2.39% 16.91%
3 2009-10-18 29.4 @ Tauras Taurage 3 1430 68.10% Atletas Kaunas 0 1172 8.77% 23.12%
4 2009-10-07 30.3 Suduva 4 1626 72.70% @ Atletas Kaunas 0 1187 5.91% 21.39%
5 2009-06-28 31.1 Vetra 3 1645 73.77% @ Kruoja Pakruojis 0 1185 5.33% 20.90%
6 2009-09-05 31.4 Tauras Taurage 3 1413 60.62% @ Kruoja Pakruojis 0 1156 14.46% 24.92%
7 2009-09-20 31.4 @ Ekranas 3 1708 80.19% Atletas Kaunas 0 1198 2.56% 17.25%
8 2009-10-31 31.9 @ FK Siauliai 3 1497 66.31% Banga Gargzdai 0 1267 10.04% 23.66%
9 2009-07-05 32.3 @ Tauras Taurage 2 1365 63.43% Kruoja Pakruojis 0 1174 12.20% 24.37%
10 2009-06-21 32.4 @ Banga Gargzdai 3 1338 57.29% Kruoja Pakruojis 0 1219 17.29% 25.42%
11 2009-08-02 32.4 Ekranas 3 1685 74.92% @ Atletas Kaunas 0 1202 4.75% 20.33%
12 2009-10-04 33.0 Suduva 1 1623 76.17% @ Kruoja Pakruojis 0 1112 4.15% 19.68%
13 2009-07-05 33.4 @ Suduva 2 1684 78.78% Atletas Kaunas 0 1211 3.07% 18.16%
14 2009-04-04 33.6 @ Suduva 4 1532 64.96% Banga Gargzdai 0 1320 11.03% 24.01%
15 2009-04-11 34.6 Vetra 5 1549 60.81% @ Banga Gargzdai 0 1291 14.30% 24.88%
16 2009-06-10 34.8 @ Ekranas 3 1648 73.31% Atletas Kaunas 0 1297 5.58% 21.11%
17 2009-10-25 35.2 FK Siauliai 4 1480 65.99% @ Atletas Kaunas 1 1154 10.26% 23.74%
18 2009-06-28 35.7 FK Siauliai 2 1436 55.29% @ Atletas Kaunas 0 1237 19.05% 25.66%
19 2009-07-26 35.8 @ Vetra 4 1656 77.77% Atletas Kaunas 1 1207 3.46% 18.77%
20 2009-05-02 36.0 @ Kruoja Pakruojis 2 1349 52.88% Banga Gargzdai 0 1273 21.22% 25.90%
21 2009-07-05 36.2 @ FK Siauliai 4 1461 54.45% Banga Gargzdai 0 1370 19.80% 25.75%
22 2009-04-11 36.5 Suduva 2 1561 62.90% @ Tauras Taurage 0 1277 12.62% 24.48%
23 2009-04-18 36.7 @ Vetra 1 1596 72.55% Tauras Taurage 0 1260 6.00% 21.45%
24 2009-09-20 36.8 FK Siauliai 3 1525 70.00% @ Kruoja Pakruojis 1 1135 7.53% 22.48%
25 2009-04-18 37.0 @ Ekranas 1 1656 76.20% Banga Gargzdai 0 1245 4.14% 19.66%