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2015 A Lyga Season

168 games

Final

Champion

Zalgiris

91 points

Relegated

No relegation

Biggest Overachiever

Trakai

13.42 points above expected

81 points · 67.58 expected points

Biggest Disappointment

Kruoja Pakruojis

10.97 points below expected

20 points · 30.97 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 Zalgiris 35 30 1 4 91 101 25 +76 80.55 +10.45
2 Trakai 35 26 3 6 81 89 33 +56 67.58 +13.42
3 Suduva 35 20 4 11 64 73 34 +39 64.85 -0.85
4 Atlantas 34 19 7 8 64 59 34 +25 63.94 +0.06
5 Utenis Utena 36 11 9 16 42 41 50 -9 40.30 +1.70
6 Spyris Kaunas 35 12 6 17 42 44 74 -30 39.62 +2.38
7 Stumbras 33 8 8 17 32 42 74 -32 36.56 -4.56
8 FK Klaipedos Granitas 33 5 9 19 24 34 77 -43 27.99 -3.99
9 Kruoja Pakruojis 26 4 8 14 20 23 42 -19 30.97 -10.97
10 FK Siauliai 34 3 5 26 14 31 94 -63 21.79 -7.79

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 Trakai 81 67.58 +13.42
2 Zalgiris 91 80.55 +10.45
3 Spyris Kaunas 42 39.62 +2.38
4 Utenis Utena 42 40.30 +1.70
5 Atlantas 64 63.94 +0.06

Biggest Disappointments

# Team Actual Sim vsSim
1 Kruoja Pakruojis 20 30.97 -10.97
2 FK Siauliai 14 21.79 -7.79
3 Stumbras 32 36.56 -4.56
4 FK Klaipedos Granitas 24 27.99 -3.99
5 Suduva 64 64.85 -0.85

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 Trakai 11 Mar 14 – May 14 1 in 3,732
2 Atlantas 5 Aug 8 – Aug 28 1 in 46
3 Zalgiris 7 Mar 2 – Apr 13 1 in 21
4 Utenis Utena 4 Oct 31 – Nov 28 1 in 10
5 FK Klaipedos Granitas 1 Mar 14 – Mar 14 1 in 9

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 FK Siauliai 11 Aug 19 – Nov 22 1 in 53
2 Kruoja Pakruojis 5 Apr 8 – May 2 1 in 34
3 Spyris Kaunas 5 Mar 14 – Apr 12 1 in 18
4 Suduva 2 May 9 – May 16 1 in 16
5 Atlantas 3 Sep 15 – Sep 22 1 in 14

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Trakai 12 Mar 9 – May 14 1 in 143
2 Utenis Utena 5 May 2 – Jun 1 1 in 90
3 Atlantas 11 May 28 – Aug 28 1 in 52
4 Stumbras 4 Apr 11 – May 3 1 in 11
5 FK Klaipedos Granitas 4 Apr 7 – Apr 26 1 in 10

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Kruoja Pakruojis 13 Apr 8 – Jul 27 1 in 379
2 Spyris Kaunas 8 Jul 30 – Sep 20 1 in 34
3 Utenis Utena 8 Jun 23 – Aug 27 1 in 17
4 FK Siauliai 13 Feb 28 – May 16 1 in 15
5 Suduva 3 May 3 – May 16 1 in 14

Position Race

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

Recent Form

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

Team Elo Season Pts Form Elo Δ (5) Points (5) Expected (5) Actual − Exp
Zalgiris 1601 91 +64 15 10.8 +4.2
Trakai 1467 81 -15 10 11.0 -1.0
Atlantas 1359 64 +20 10 8.9 +1.1
Suduva 1384 64 +9 9 9.8 -0.8
Utenis Utena 1182 42 +66 13 7.9 +5.1
Spyris Kaunas 1073 42 -49 1 3.0 -2.0
Stumbras 1066 32 -28 3 3.8 -0.8
FK Klaipedos Granitas 1000 24 -57 0 2.6 -2.6
Kruoja Pakruojis 1046 20 -64 1 5.2 -4.2
FK Siauliai 912 14 -22 0 1.5 -1.5

Head-to-Head

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

Beat expectations Fell short Within expectations
Team ATL FKG FS KP SK STU SUD TRA UU ZAL
Atlantas —
2-1-1
9.09
3-1-0
9.50
2-0-0
3.77
2-1-1
8.29
3-1-0
8.62
1-1-2
5.63
2-0-2
5.54
2-2-0
8.52
2-0-2
3.17
FK Klaipedos Granitas
1-1-2
2.22
—
1-2-0
5.15
1-1-1
2.83
0-2-2
4.53
0-2-1
3.33
0-0-4
2.22
0-0-4
1.95
2-1-1
4.19
0-0-4
1.41
FK Siauliai
0-1-3
1.83
0-2-1
3.29
—
2-1-0
2.25
0-0-4
3.47
0-1-3
3.46
0-0-4
1.84
1-0-3
1.45
0-0-4
3.71
0-0-4
1.10
Kruoja Pakruojis
0-0-2
1.86
1-1-1
5.62
0-1-2
6.20
—
1-1-1
4.39
0-1-1
3.14
0-0-3
3.08
0-2-1
2.86
2-1-1
6.31
0-1-2
1.72
Spyris Kaunas
1-1-2
2.99
2-2-0
6.72
4-0-0
7.79
1-1-1
4.05
—
1-1-2
5.86
1-0-3
2.80
0-0-4
2.31
2-1-1
5.42
0-0-4
1.76
Stumbras
0-1-3
2.67
1-2-0
5.11
3-1-0
7.80
1-1-0
2.48
2-1-1
5.39
—
0-1-3
3.20
0-0-4
2.90
1-1-2
5.63
0-0-4
1.47
Suduva
2-1-1
5.61
4-0-0
9.08
4-0-0
9.50
3-0-0
5.37
3-0-1
8.49
3-1-0
8.07
—
0-0-4
5.45
1-2-1
8.53
0-0-4
3.43
Trakai
2-0-2
5.71
4-0-0
9.39
3-0-1
9.93
1-2-0
5.60
4-0-0
9.00
4-0-0
8.40
4-0-0
5.81
—
2-1-1
8.89
2-0-2
3.83
Utenis Utena
0-2-2
2.76
1-1-2
7.06
4-0-0
7.55
1-1-2
4.94
1-1-2
5.83
2-1-1
5.62
1-2-1
2.75
1-1-2
2.41
—
0-0-4
1.73
Zalgiris
2-0-2
8.10
4-0-0
9.97
4-0-0
10.32
2-1-0
6.77
4-0-0
9.57
4-0-0
9.89
4-0-0
7.83
2-0-2
7.42
4-0-0
9.61
—

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 0.94 +9.8
Allowed 0.64 -8.8
Differential 0.93 +5.5

Scoreline Distribution

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

↓ Scored | Allowed →012345+Total
04.17%5.65%6.85%3.87%1.79%2.38%24.70%
15.65%10.71%6.85%3.57%2.98%3.27%33.04%
26.85%6.85%2.98%2.08%1.49%—20.24%
33.87%3.57%2.08%—0.30%—9.82%
41.79%2.98%1.49%0.30%——6.55%
5+2.38%3.27%————5.65%
Total24.70%33.04%20.24%9.82%6.55%5.65%100%

Summary Statistics

Scored Allowed Difference
Mean 1.60 1.60 +0.00
SD 1.49 1.49 2.41
CV 0.93 0.93 —
Max 8 8 +7
Min 0 0 -7

Games Played: 168

↓ Scored | Allowed →012345+Total
05.88%11.76%5.88%———23.53%
18.82%11.76%—2.94%—2.94%26.47%
211.76%14.71%2.94%———29.41%
3—2.94%————2.94%
4—5.88%2.94%———8.82%
5+2.94%5.88%————8.82%
Total29.41%52.94%11.76%2.94%—2.94%100%

Summary Statistics

Scored Allowed Difference
Mean 1.74 1.00 +0.74
SD 1.54 1.02 1.91
CV 0.89 1.02 —
Max 5 5 +5
Min 0 0 -4

Games Played: 34

↓ Scored | Allowed →012345+Total
06.06%3.03%6.06%6.06%—6.06%27.27%
13.03%15.15%15.15%3.03%6.06%9.09%51.52%
23.03%3.03%6.06%—3.03%—15.15%
3—3.03%————3.03%
4—3.03%————3.03%
5+———————
Total12.12%27.27%27.27%9.09%9.09%15.15%100%

Summary Statistics

Scored Allowed Difference
Mean 1.03 2.33 -1.30
SD 0.92 1.90 2.26
CV 0.89 0.81 —
Max 4 8 +3
Min 0 0 -7

Games Played: 33

↓ Scored | Allowed →012345+Total
05.88%2.94%11.76%2.94%5.88%11.76%41.18%
12.94%2.94%11.76%2.94%8.82%2.94%32.35%
2——5.88%11.76%2.94%—20.59%
3—2.94%2.94%———5.88%
4———————
5+———————
Total8.82%8.82%32.35%17.65%17.65%14.71%100%

Summary Statistics

Scored Allowed Difference
Mean 0.91 2.76 -1.85
SD 0.93 1.60 1.96
CV 1.02 0.58 —
Max 3 6 +2
Min 0 0 -6

Games Played: 34

↓ Scored | Allowed →012345+Total
07.69%3.85%15.38%11.54%——38.46%
13.85%15.38%11.54%7.69%——38.46%
23.85%3.85%7.69%3.85%——19.23%
33.85%—————3.85%
4———————
5+———————
Total19.23%23.08%34.62%23.08%——100%

Summary Statistics

Scored Allowed Difference
Mean 0.88 1.62 -0.73
SD 0.86 1.06 1.51
CV 0.98 0.66 —
Max 3 3 +3
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
0—8.57%8.57%5.71%2.86%2.86%28.57%
12.86%14.29%2.86%—5.71%8.57%34.29%
2—20.00%2.86%—2.86%—25.71%
3——5.71%———5.71%
4—2.86%2.86%———5.71%
5+———————
Total2.86%45.71%22.86%5.71%11.43%11.43%100%

Summary Statistics

Scored Allowed Difference
Mean 1.26 2.11 -0.86
SD 1.12 1.47 2.05
CV 0.89 0.70 —
Max 4 5 +3
Min 0 0 -5

Games Played: 35

↓ Scored | Allowed →012345+Total
0—3.03%9.09%3.03%9.09%3.03%27.27%
13.03%21.21%—9.09%6.06%3.03%42.42%
23.03%3.03%3.03%3.03%3.03%—15.15%
3—6.06%3.03%———9.09%
4—3.03%————3.03%
5+—3.03%————3.03%
Total6.06%39.39%15.15%15.15%18.18%6.06%100%

Summary Statistics

Scored Allowed Difference
Mean 1.27 2.24 -0.97
SD 1.23 1.60 2.34
CV 0.97 0.71 —
Max 5 7 +4
Min 0 0 -6

Games Played: 33

↓ Scored | Allowed →012345+Total
02.86%8.57%5.71%2.86%——20.00%
18.57%8.57%8.57%2.86%2.86%—31.43%
25.71%5.71%————11.43%
311.43%8.57%————20.00%
42.86%—————2.86%
5+5.71%8.57%————14.29%
Total37.14%40.00%14.29%5.71%2.86%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.09 0.97 +1.11
SD 1.95 1.01 2.49
CV 0.93 1.04 —
Max 8 4 +7
Min 0 0 -3

Games Played: 35

↓ Scored | Allowed →012345+Total
02.86%5.71%2.86%2.86%——14.29%
15.71%5.71%—2.86%—2.86%17.14%
211.43%8.57%————20.00%
35.71%5.71%2.86%———14.29%
45.71%5.71%5.71%———17.14%
5+8.57%8.57%————17.14%
Total40.00%40.00%11.43%5.71%—2.86%100%

Summary Statistics

Scored Allowed Difference
Mean 2.54 0.94 +1.60
SD 1.70 1.11 2.26
CV 0.67 1.18 —
Max 5 5 +5
Min 0 0 -4

Games Played: 35

↓ Scored | Allowed →012345+Total
011.11%5.56%5.56%5.56%——27.78%
111.11%13.89%13.89%5.56%—2.78%47.22%
25.56%2.78%—2.78%——11.11%
32.78%2.78%2.78%—2.78%—11.11%
4—2.78%————2.78%
5+———————
Total30.56%27.78%22.22%13.89%2.78%2.78%100%

Summary Statistics

Scored Allowed Difference
Mean 1.14 1.39 -0.25
SD 1.05 1.29 1.63
CV 0.92 0.93 —
Max 4 5 +3
Min 0 0 -4

Games Played: 36

↓ Scored | Allowed →012345+Total
0—2.86%————2.86%
15.71%—5.71%———11.43%
222.86%5.71%2.86%—2.86%—34.29%
314.29%2.86%2.86%———20.00%
48.57%5.71%2.86%2.86%——20.00%
5+5.71%5.71%————11.43%
Total57.14%22.86%14.29%2.86%2.86%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.89 0.71 +2.17
SD 1.55 1.02 1.89
CV 0.54 1.42 —
Max 7 4 +6
Min 0 0 -2

Games Played: 35

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
Zalgiris 1601 91 81.96 +9.04 91.0% 63 73 77 81 87 93 98
Trakai 1467 81 68.99 +12.01 93.0% 52 55 64 69 73 82 92
Suduva 1384 64 66.26 -2.26 40.0% 45 51 61 66 72 80 84
Atlantas 1359 64 66.76 -2.76 37.0% 53 56 63 66 71 77 85
Utenis Utena 1182 42 40.30 +1.70 59.0% 21 28 35 40 45 52 55
Spyris Kaunas 1073 42 41.03 +0.97 56.0% 24 25 36 42 47 54 61
Stumbras 1066 32 40.79 -8.79 11.0% 22 29 36 41 45 53 58
Kruoja Pakruojis 1046 20 45.08 -25.08 0.0% 29 35 40 46 50 56 61
FK Klaipedos Granitas 1000 24 32.22 -8.22 12.0% 18 20 28 32 36 42 49
FK Siauliai 912 14 24.61 -10.61 3.0% 6 15 20 25 29 33 45

Point Totals in Context

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

Home-Field Advantage Edge

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

Season Trends

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

Edges & Scoring

How these are measured

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

Home Edge
Share of matches won by the home team minus the share won by the away team.
No Edge: under 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
+9.52%
Clear Edge
45.83%17.86%36.31%
Elo Value
Home Edge: 33.19 Elo pts.
144 Elo
0.007 goals per Elo point
0400
Scoring Tilt
Expected
+0.35 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 5th * Longshot: 6th 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
1.6
One-Team Race
123410
Champion Preseason Odds
79%
Zalgiris, 1st of 10
LongshotFavorite
Title Margin
Expected
0.29/gm
Comfortable
00.290.5/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread
Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.54 * Some Luck: 5.54 to 8.31 * Lucky: 8.31 to 11.09 * Wild Swing: 11.09 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 0.9 * Close: 0.9 to 1.35 * Off: 1.35 to 1.8 * Way Off: 1.8 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 10 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 10 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 10 * As Expected: 10 to 16 * Several Outliers: 16 to 22 * Many Outliers: 22 and up.
Luck Spread
Expected
7.95 points
Some Luck
06.9317
Average Finish Error
Expected
1.00
Close
01.122.5
Biggest Overachiever
Expected 95.00%
97.49%
Trakai
50100
Biggest Underachiever
Expected 5.00%
1.39%
Kruoja Pakruojis
050
Season Outliers
Expected
3 of 10
Minimal Outliers
01.010

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
0.30
Lopsided
00.240.5
Noll-Scully
Elo SD: 228.88
3.30
Wide Separation
12.52.853.5
Interquartile Edge
87%
Clear Edge
50%77.5%86.5%100%
Best vs. Worst
Baseline 99%
98%
Strong Edge
50%100%
Close Games
Expected
48%
Few
0%46%100%
Blowouts
Expected
29%
Very Frequent
0%30%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
0.48
Highly Predictable
00.522
Matchup Imbalance
0.50
Slight Separation
00.5
Strangeness
Expected
1.54
Chaotic
01.002
Repeatability
0.72
Some Carryover
00.650.811
Upset Rate
Expected
17%
Upset-Prone
0%20%50%
Clear Favorite Upset Rate
Expected
14%
As Expected
0%17%50%

Calibration

How these are measured

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

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.12 * Near Noise Ceiling: 0.12 to 0.18 * Above Noise: 0.18 to 0.24 * Well Above Noise: 0.24 and up.
Probability calibration
0.87
Excellent
0.010.050.10.51
Calibration slope
Ideal
1.24
Underconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.053
Well Within Noise
00.1200.3

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).

Team12345678910
Zalgiris79.00%19.00%1.00%1.00%——————
Trakai8.00%33.00%38.00%21.00%——————
Suduva6.00%26.00%29.00%31.00%8.00%—————
Atlantas7.00%22.00%32.00%38.00%1.00%—————
Utenis Utena———2.00%18.00%23.00%20.00%19.00%14.00%4.00%
Spyris Kaunas———2.00%21.00%22.00%28.00%13.00%8.00%6.00%
Stumbras———2.00%19.00%19.00%25.00%25.00%9.00%1.00%
FK Klaipedos Granitas————3.00%5.00%10.00%21.00%42.00%19.00%
Kruoja Pakruojis———3.00%30.00%31.00%15.00%15.00%6.00%—
FK Siauliai——————2.00%7.00%21.00%70.00%

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
Atlantas 100% —
Suduva 100% —
Trakai 100% —
Zalgiris 100% —
Kruoja Pakruojis 94.00% 6.00%
Stumbras 90.00% 10.00%
Spyris Kaunas 86.00% 14.00%
Utenis Utena 82.00% 18.00%
FK Klaipedos Granitas 39.00% 61.00%
FK Siauliai 9.00% 91.00%

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
2015-02-28 FK Siauliai W 3-140.8 1154 1096 52.87% 18.76% 28.37%+0.64 +17.9 3
2015-02-28 @ Stumbras L 1-340.8 1096 1154 28.37% 18.76% 52.87%-0.64 -17.9 0
2015-02-28 Trakai W 5-136.8 1287 1219 54.05% 18.72% 27.23%+0.70 +31.5 3
2015-02-28 @ Atlantas L 1-536.8 1219 1287 27.23% 18.72% 54.05%-0.70 -31.5 0
2015-03-01 FK Klaipedos Granitas W 2-142.9 1154 1095 52.95% 18.76% 28.29%+0.64 +10.3 3
2015-03-01 @ Spyris Kaunas L 1-242.9 1095 1154 28.29% 18.76% 52.95%-0.64 -10.3 0
2015-03-01 Suduva L 1-345.4 1257 1283 41.68% 18.94% 39.38%+0.06 -24.6 0
2015-03-01 @ Kruoja Pakruojis W 3-145.4 1283 1257 39.38% 18.94% 41.68%-0.06 +24.6 3
2015-03-02 Utenis Utena W 2-030.7 1391 1154 70.10% 17.44% 12.46%+1.87 +9.7 3
2015-03-02 @ Zalgiris L 0-230.7 1154 1391 12.46% 17.44% 70.10%-1.87 -9.7 0
2015-03-07 Spyris Kaunas L 1-244.4 1078 1165 33.17% 18.88% 47.95%-0.37 -11.8 0
2015-03-07 @ FK Siauliai W 2-144.4 1165 1078 47.95% 18.88% 33.17%+0.37 +11.8 6
2015-03-07 Suduva L 0-235.3 1172 1307 27.16% 18.72% 54.12%-0.71 -19.9 3
2015-03-07 @ Stumbras W 2-035.3 1307 1172 54.12% 18.72% 27.16%+0.71 +19.9 6
2015-03-08 Atlantas L 1-241.5 1145 1318 22.92% 18.52% 58.56%-0.98 -8.6 0
2015-03-08 @ Utenis Utena W 2-141.5 1318 1145 58.56% 18.52% 22.92%+0.98 +8.6 6
2015-03-08 Zalgiris L 0-230.2 1085 1400 11.71% 17.30% 70.99%-1.96 -9.2 0
2015-03-08 @ FK Klaipedos Granitas W 2-030.2 1400 1085 70.99% 17.30% 11.71%+1.96 +9.2 6
2015-03-09 Kruoja Pakruojis D 1-154.6 1187 1233 38.78% 18.94% 42.29%-0.09 +0.3 1
2015-03-09 @ Trakai D 1-154.6 1233 1187 42.29% 18.94% 38.78%+0.09 -0.3 1
2015-03-13 FK Siauliai W 3-241.4 1409 1066 76.54% 16.15% 7.30%+2.61 +2.7 9
2015-03-13 @ Zalgiris L 2-341.4 1066 1409 7.30% 16.15% 76.54%-2.61 -2.7 0
2015-03-14 FK Klaipedos Granitas L 0-150.4 1327 1076 71.13% 17.28% 11.59%+1.97 -24.7 6
2015-03-14 @ Atlantas W 1-050.4 1076 1327 11.59% 17.28% 71.13%-1.97 +24.7 3
2015-03-14 Trakai L 0-148.3 1327 1188 61.91% 18.30% 19.79%+1.20 -21.5 6
2015-03-14 @ Suduva W 1-048.3 1188 1327 19.79% 18.30% 61.91%-1.20 +21.5 4
2015-03-14 Stumbras L 1-444.7 1176 1152 48.48% 18.87% 32.65%+0.40 -39.6 6
2015-03-14 @ Spyris Kaunas W 4-144.7 1152 1176 32.65% 18.87% 48.48%-0.40 +39.6 6
2015-03-15 Utenis Utena W 1-036.6 1233 1136 57.36% 18.58% 24.06%+0.90 +9.5 4
2015-03-15 @ Kruoja Pakruojis L 0-136.6 1136 1233 24.06% 18.58% 57.36%-0.90 -9.5 0
2015-03-17 FK Siauliai W 5-027.2 1302 1064 70.26% 17.41% 12.32%+1.89 +22.5 9
2015-03-17 @ Atlantas L 0-527.2 1064 1302 12.32% 17.41% 70.26%-1.89 -22.5 0
2015-03-17 Stumbras W 3-142.6 1209 1192 47.55% 18.89% 33.56%+0.35 +20.6 7
2015-03-17 @ Trakai L 1-342.6 1192 1209 33.56% 18.89% 47.55%-0.35 -20.6 6
2015-03-18 Suduva D 1-154.7 1127 1306 22.38% 18.49% 59.14%-1.01 +3.0 1
2015-03-18 @ Utenis Utena D 1-154.7 1306 1127 59.14% 18.49% 22.38%+1.01 -3.0 7
2015-03-18 Zalgiris L 0-133.9 1137 1412 14.23% 17.71% 68.05%-1.68 -5.9 6
2015-03-18 @ Spyris Kaunas W 1-033.9 1412 1137 68.05% 17.71% 14.23%+1.68 +5.9 12
2015-03-19 Kruoja Pakruojis L 0-332.8 1101 1242 26.42% 18.69% 54.89%-0.75 -28.2 3
2015-03-19 @ FK Klaipedos Granitas W 3-032.8 1242 1101 54.89% 18.69% 26.42%+0.75 +28.2 7
2015-03-21 Utenis Utena W 5-135.4 1230 1130 57.77% 18.56% 23.67%+0.93 +27.9 10
2015-03-21 @ Trakai L 1-535.4 1130 1230 23.67% 18.56% 57.77%-0.93 -27.9 1
2015-03-22 FK Siauliai D 2-260.4 1270 1041 69.58% 17.51% 12.91%+1.82 -3.6 8
2015-03-22 @ Kruoja Pakruojis D 2-260.4 1041 1270 12.91% 17.51% 69.58%-1.82 +3.6 1
2015-03-23 FK Klaipedos Granitas W 3-135.9 1303 1072 69.66% 17.50% 12.84%+1.83 +8.7 10
2015-03-23 @ Suduva L 1-335.9 1072 1303 12.84% 17.50% 69.66%-1.83 -8.7 3
2015-04-02 Kruoja Pakruojis L 0-235.0 1131 1267 27.08% 18.72% 54.20%-0.71 -19.8 6
2015-04-02 @ Spyris Kaunas W 2-035.0 1267 1131 54.20% 18.72% 27.08%+0.71 +19.8 11
2015-04-03 Atlantas W 2-036.5 1418 1325 57.01% 18.60% 24.39%+0.88 +18.1 15
2015-04-03 @ Zalgiris L 0-236.5 1325 1418 24.39% 18.60% 57.01%-0.88 -18.1 9
2015-04-03 Utenis Utena L 0-145.7 1171 1102 54.25% 18.71% 27.04%+0.71 -19.0 6
2015-04-03 @ Stumbras W 1-045.7 1102 1171 27.04% 18.71% 54.25%-0.71 +19.0 4
2015-04-04 Trakai L 2-442.9 1064 1258 20.92% 18.39% 60.69%-1.12 -12.2 3
2015-04-04 @ FK Klaipedos Granitas W 4-242.9 1258 1064 60.69% 18.39% 20.92%+1.12 +12.2 13
2015-04-04 Suduva L 0-329.0 1045 1311 14.86% 17.80% 67.34%-1.62 -16.7 1
2015-04-04 @ FK Siauliai W 3-029.0 1311 1045 67.34% 17.80% 14.86%+1.62 +16.7 13
2015-04-07 FK Klaipedos Granitas L 1-348.5 1121 1052 54.20% 18.72% 27.09%+0.71 -31.0 4
2015-04-07 @ Utenis Utena W 3-148.5 1052 1121 27.09% 18.72% 54.20%-0.71 +31.0 6
2015-04-07 Stumbras W 2-032.4 1307 1152 63.32% 18.19% 18.48%+1.30 +14.1 12
2015-04-07 @ Atlantas L 0-232.4 1152 1307 18.48% 18.19% 63.32%-1.30 -14.1 6
2015-04-08 Zalgiris L 0-236.6 1286 1436 25.48% 18.65% 55.87%-0.81 -18.8 11
2015-04-08 @ Kruoja Pakruojis W 2-036.6 1436 1286 55.87% 18.65% 25.48%+0.81 +18.8 18
2015-04-09 FK Siauliai W 4-027.1 1270 1028 70.49% 17.38% 12.13%+1.91 +18.0 16
2015-04-09 @ Trakai L 0-427.1 1028 1270 12.13% 17.38% 70.49%-1.91 -18.0 1
2015-04-09 Spyris Kaunas W 5-132.2 1328 1111 68.66% 17.64% 13.70%+1.74 +16.8 16
2015-04-09 @ Suduva L 1-532.2 1111 1328 13.70% 17.64% 68.66%-1.74 -16.9 6
2015-04-11 FK Klaipedos Granitas D 1-154.4 1138 1082 52.56% 18.77% 28.67%+0.62 -1.9 7
2015-04-11 @ Stumbras D 1-154.4 1082 1138 28.67% 18.77% 52.56%-0.62 +1.9 7
2015-04-11 Kruoja Pakruojis W 3-141.8 1321 1268 52.22% 18.78% 28.99%+0.60 +18.2 15
2015-04-11 @ Atlantas L 1-341.8 1268 1321 28.99% 18.78% 52.22%-0.60 -18.2 11
2015-04-12 Spyris Kaunas W 2-031.2 1288 1094 66.80% 17.86% 15.34%+1.57 +11.9 19
2015-04-12 @ Trakai L 0-231.2 1094 1288 15.34% 17.86% 66.80%-1.57 -11.9 6
2015-04-12 Utenis Utena L 0-237.0 1010 1090 34.07% 18.90% 47.03%-0.32 -24.1 1
2015-04-12 @ FK Siauliai W 2-037.0 1090 1010 47.03% 18.90% 34.07%+0.32 +24.1 7
2015-04-13 Suduva W 2-037.1 1455 1345 58.87% 18.50% 22.63%+1.00 +16.9 21
2015-04-13 @ Zalgiris L 0-237.1 1345 1455 22.63% 18.50% 58.87%-1.00 -16.9 16
2015-04-17 Atlantas D 1-155.8 1328 1339 43.67% 18.93% 37.39%+0.15 -0.5 17
2015-04-17 @ Suduva D 1-155.8 1339 1328 37.39% 18.93% 43.67%-0.15 +0.5 16
2015-04-18 Utenis Utena W 2-146.5 1082 1114 40.78% 18.94% 40.27%+0.01 +13.8 9
2015-04-18 @ Spyris Kaunas L 1-246.5 1114 1082 40.27% 18.94% 40.78%-0.01 -13.8 7
2015-04-18 Zalgiris W 2-154.8 1300 1472 23.07% 18.53% 58.41%-0.97 +19.2 22
2015-04-18 @ Trakai L 1-254.8 1472 1300 58.41% 18.53% 23.07%+0.97 -19.2 21
2015-04-19 FK Siauliai D 2-260.0 1084 986 57.58% 18.57% 23.85%+0.91 -2.1 8
2015-04-19 @ FK Klaipedos Granitas D 2-260.0 986 1084 23.85% 18.57% 57.58%-0.91 +2.1 2
2015-04-19 Kruoja Pakruojis W 2-042.4 1136 1249 29.79% 18.80% 51.41%-0.55 +34.1 10
2015-04-19 @ Stumbras L 0-242.4 1249 1136 51.41% 18.80% 29.79%+0.55 -34.1 11
2015-04-24 Stumbras D 1-154.5 988 1170 22.04% 18.46% 59.50%-1.04 +3.1 3
2015-04-24 @ FK Siauliai D 1-154.5 1170 988 59.50% 18.46% 22.04%+1.04 -3.1 11
2015-04-25 Atlantas W 2-039.8 1319 1339 42.33% 18.94% 38.73%+0.09 +26.8 25
2015-04-25 @ Trakai L 0-239.8 1339 1319 38.73% 18.94% 42.33%-0.09 -26.8 16
2015-04-26 Spyris Kaunas D 1-154.4 1082 1096 43.27% 18.93% 37.79%+0.13 -0.4 9
2015-04-26 @ FK Klaipedos Granitas D 1-154.4 1096 1082 37.79% 18.93% 43.27%-0.13 +0.4 10
2015-04-26 Zalgiris L 0-229.7 1100 1453 9.72% 16.87% 73.41%-2.22 -7.6 7
2015-04-26 @ Utenis Utena W 2-029.7 1453 1100 73.41% 16.87% 9.72%+2.22 +7.6 24
2015-04-28 Kruoja Pakruojis W 3-032.0 1327 1215 59.08% 18.49% 22.43%+1.01 +24.4 20
2015-04-28 @ Suduva L 0-332.0 1215 1327 22.43% 18.49% 59.08%-1.01 -24.4 11
2015-05-01 FK Siauliai W 2-141.2 1097 991 58.37% 18.53% 23.10%+0.96 +8.6 13
2015-05-01 @ Spyris Kaunas L 1-241.2 991 1097 23.10% 18.53% 58.37%-0.96 -8.6 3
2015-05-01 FK Klaipedos Granitas W 6-025.6 1460 1082 78.23% 15.67% 6.10%+2.86 +13.2 27
2015-05-01 @ Zalgiris L 0-625.6 1082 1460 6.10% 15.67% 78.23%-2.86 -13.2 9
2015-05-02 Trakai L 0-234.8 1191 1346 24.93% 18.62% 56.45%-0.84 -18.5 11
2015-05-02 @ Kruoja Pakruojis W 2-034.8 1346 1191 56.45% 18.62% 24.93%+0.84 +18.4 28
2015-05-02 Utenis Utena D 1-154.9 1313 1092 68.92% 17.60% 13.48%+1.76 -4.7 17
2015-05-02 @ Atlantas D 1-154.9 1092 1313 13.48% 17.60% 68.92%-1.76 +4.7 8
2015-05-03 Stumbras D 1-155.1 1352 1167 66.04% 17.94% 16.02%+1.51 -4.2 21
2015-05-03 @ Suduva D 1-155.1 1167 1352 16.02% 17.94% 66.04%-1.51 +4.2 12
2015-05-09 Suduva W 4-142.2 1364 1348 47.47% 18.89% 33.64%+0.35 +29.2 31
2015-05-09 @ Trakai L 1-442.2 1348 1364 33.64% 18.89% 47.47%-0.35 -29.2 21
2015-05-10 Spyris Kaunas L 2-452.9 1172 1105 53.85% 18.73% 27.43%+0.69 -27.5 12
2015-05-10 @ Stumbras W 4-252.9 1105 1172 27.43% 18.73% 53.85%-0.69 +27.5 16
2015-05-11 Atlantas L 1-239.4 1069 1308 16.93% 18.04% 65.02%-1.43 -6.5 9
2015-05-11 @ FK Klaipedos Granitas W 2-139.4 1308 1069 65.02% 18.04% 16.93%+1.43 +6.5 20
2015-05-11 Zalgiris L 1-627.6 982 1474 4.81% 15.00% 80.18%-3.18 -7.2 3
2015-05-11 @ FK Siauliai W 6-127.6 1474 982 80.18% 15.00% 4.81%+3.18 +7.2 30
2015-05-12 Kruoja Pakruojis D 0-050.5 1097 1172 34.65% 18.90% 46.44%-0.29 +1.0 9
2015-05-12 @ Utenis Utena D 0-050.5 1172 1097 46.44% 18.90% 34.65%+0.29 -1.0 12
2015-05-14 Trakai L 2-344.8 1144 1393 16.14% 17.96% 65.91%-1.50 -5.9 12
2015-05-14 @ Stumbras W 3-244.8 1393 1144 65.91% 17.96% 16.14%+1.50 +5.9 34
2015-05-15 Spyris Kaunas W 4-026.2 1481 1133 76.79% 16.09% 7.13%+2.65 +10.6 33
2015-05-15 @ Zalgiris L 0-426.2 1133 1481 7.13% 16.09% 76.79%-2.65 -10.6 16
2015-05-16 Atlantas D 0-051.1 975 1314 10.40% 17.03% 72.56%-2.12 +6.0 4
2015-05-16 @ FK Siauliai D 0-051.1 1314 975 72.56% 17.03% 10.40%+2.12 -6.0 21
2015-05-16 Utenis Utena L 0-149.9 1318 1098 68.92% 17.60% 13.48%+1.76 -23.9 21
2015-05-16 @ Suduva W 1-049.9 1098 1318 13.48% 17.60% 68.92%-1.76 +23.9 12
2015-05-17 FK Klaipedos Granitas D 1-154.5 1171 1062 58.77% 18.51% 22.73%+0.99 -3.0 13
2015-05-17 @ Kruoja Pakruojis D 1-154.5 1062 1171 22.73% 18.51% 58.77%-0.99 +3.0 10
2015-05-19 Atlantas W 1-047.5 1122 1308 21.67% 18.44% 59.89%-1.06 +20.8 19
2015-05-19 @ Spyris Kaunas L 0-147.5 1308 1122 59.89% 18.44% 21.67%+1.06 -20.9 21
2015-05-19 Stumbras W 4-132.4 1491 1138 77.05% 16.02% 6.94%+2.68 +6.7 36
2015-05-19 @ Zalgiris L 1-432.4 1138 1491 6.94% 16.02% 77.05%-2.68 -6.7 12
2015-05-26 Suduva L 1-239.6 1065 1294 17.74% 18.13% 64.13%-1.36 -6.8 10
2015-05-26 @ FK Klaipedos Granitas W 2-139.6 1294 1065 64.13% 18.13% 17.74%+1.36 +6.8 24
2015-05-27 Kruoja Pakruojis W 1-047.2 981 1168 21.57% 18.43% 60.00%-1.07 +20.9 7
2015-05-27 @ FK Siauliai L 0-147.2 1168 981 60.00% 18.43% 21.57%+1.07 -20.9 13
2015-05-27 Trakai W 1-050.0 1122 1399 14.11% 17.70% 68.19%-1.69 +23.7 15
2015-05-27 @ Utenis Utena L 0-150.0 1399 1122 68.19% 17.70% 14.11%+1.69 -23.7 34
2015-05-28 Spyris Kaunas W 2-032.7 1288 1143 62.38% 18.27% 19.35%+1.23 +14.7 24
2015-05-28 @ Atlantas L 0-232.7 1143 1288 19.35% 18.27% 62.38%-1.23 -14.7 19
2015-05-28 Zalgiris L 0-427.0 1132 1498 9.07% 16.70% 74.22%-2.31 -13.5 12
2015-05-28 @ Stumbras W 4-027.0 1498 1132 74.22% 16.70% 9.07%+2.31 +13.5 39
2015-05-31 FK Siauliai W 6-026.3 1301 1002 74.16% 16.72% 9.12%+2.31 +19.9 27
2015-05-31 @ Suduva L 0-626.3 1002 1301 9.12% 16.72% 74.16%-2.31 -19.9 7
2015-05-31 FK Klaipedos Granitas W 5-025.8 1376 1058 75.18% 16.49% 8.33%+2.43 +15.3 37
2015-05-31 @ Trakai L 0-525.8 1058 1376 8.33% 16.49% 75.18%-2.43 -15.3 10
2015-06-01 Stumbras D 1-154.4 1146 1118 48.97% 18.86% 32.17%+0.42 -1.3 16
2015-06-01 @ Utenis Utena D 1-154.4 1118 1146 32.17% 18.86% 48.97%-0.42 +1.3 13
2015-06-01 Zalgiris W 4-259.1 1302 1512 19.49% 18.28% 62.23%-1.22 +31.6 27
2015-06-01 @ Atlantas L 2-459.1 1512 1302 62.23% 18.28% 19.49%+1.22 -31.6 39
2015-06-02 Spyris Kaunas L 1-248.8 1148 1128 47.83% 18.88% 33.29%+0.36 -16.0 13
2015-06-02 @ Kruoja Pakruojis W 2-148.8 1128 1148 33.29% 18.88% 47.83%-0.36 +16.0 22
2015-06-06 Utenis Utena W 2-149.3 1043 1144 31.25% 18.84% 49.91%-0.47 +16.6 13
2015-06-06 @ FK Klaipedos Granitas L 1-249.3 1144 1043 49.91% 18.84% 31.25%+0.47 -16.6 16
2015-06-07 Suduva W 2-152.2 1144 1321 22.61% 18.50% 58.89%-1.00 +19.3 25
2015-06-07 @ Spyris Kaunas L 1-252.2 1321 1144 58.89% 18.50% 22.61%+1.00 -19.3 27
2015-06-18 Trakai L 0-330.6 1164 1391 17.93% 18.14% 63.93%-1.35 -19.9 25
2015-06-18 @ Spyris Kaunas W 3-030.6 1391 1164 63.93% 18.14% 17.93%+1.35 +19.9 40
2015-06-18 Zalgiris D 2-261.5 1132 1480 9.94% 16.92% 73.14%-2.19 +4.1 14
2015-06-18 @ Kruoja Pakruojis D 2-261.5 1480 1132 73.14% 16.92% 9.94%+2.19 -4.1 40
2015-06-19 FK Siauliai W 1-035.0 1128 982 62.49% 18.26% 19.25%+1.24 +7.8 19
2015-06-19 @ Utenis Utena L 0-135.0 982 1128 19.25% 18.26% 62.49%-1.24 -7.8 7
2015-06-21 Atlantas L 1-240.7 1136 1334 20.51% 18.36% 61.13%-1.15 -7.8 14
2015-06-21 @ Kruoja Pakruojis W 2-140.7 1334 1136 61.13% 18.36% 20.51%+1.15 +7.8 30
2015-06-21 Stumbras L 1-539.3 1060 1119 36.79% 18.93% 44.28%-0.18 -40.6 13
2015-06-21 @ FK Klaipedos Granitas W 5-139.3 1119 1060 44.28% 18.93% 36.79%+0.18 +40.6 16
2015-06-23 Spyris Kaunas L 2-353.0 1136 1144 44.08% 18.93% 36.99%+0.17 -14.1 19
2015-06-23 @ Utenis Utena W 3-253.0 1144 1136 36.99% 18.93% 44.08%-0.17 +14.1 28
2015-06-23 Zalgiris L 1-244.3 1302 1476 22.88% 18.52% 58.60%-0.98 -8.6 27
2015-06-23 @ Suduva W 2-144.3 1476 1302 58.60% 18.52% 22.88%+0.98 +8.6 43
2015-06-25 FK Klaipedos Granitas D 0-050.4 975 1019 38.91% 18.94% 42.15%-0.08 +0.3 8
2015-06-25 @ FK Siauliai D 0-050.4 1019 975 42.15% 18.94% 38.91%+0.08 -0.3 14
2015-06-25 Stumbras D 1-154.4 1128 1160 40.70% 18.94% 40.36%+0.01 -0.0 15
2015-06-25 @ Kruoja Pakruojis D 1-154.4 1160 1128 40.36% 18.94% 40.70%-0.01 +0.0 17
2015-06-27 Zalgiris L 0-327.9 1121 1484 9.24% 16.75% 74.01%-2.29 -10.5 19
2015-06-27 @ Utenis Utena W 3-027.9 1484 1121 74.01% 16.75% 9.24%+2.29 +10.5 46
2015-06-30 FK Klaipedos Granitas W 4-135.9 1158 1019 61.87% 18.31% 19.83%+1.20 +18.4 31
2015-06-30 @ Spyris Kaunas L 1-435.9 1019 1158 19.83% 18.31% 61.87%-1.20 -18.4 14
2015-06-30 Stumbras L 1-240.8 975 1160 21.77% 18.45% 59.79%-1.06 -8.2 8
2015-06-30 @ FK Siauliai W 2-140.8 1160 975 59.79% 18.45% 21.77%+1.06 +8.2 20
2015-07-22 Spyris Kaunas L 1-240.0 967 1176 19.45% 18.28% 62.28%-1.23 -7.4 8
2015-07-22 @ FK Siauliai W 2-140.0 1176 967 62.28% 18.28% 19.45%+1.23 +7.4 34
2015-07-22 Suduva L 0-432.6 1168 1293 28.32% 18.76% 52.92%-0.64 -39.1 20
2015-07-22 @ Stumbras W 4-032.6 1293 1168 52.92% 18.76% 28.32%+0.64 +39.1 30
2015-07-25 Zalgiris L 1-235.0 1000 1495 4.73% 14.95% 80.32%-3.20 -1.8 14
2015-07-25 @ FK Klaipedos Granitas W 2-135.0 1495 1000 80.32% 14.95% 4.73%+3.20 +1.8 49
2015-07-27 Atlantas D 0-051.0 1111 1342 17.63% 18.11% 64.26%-1.37 +4.4 20
2015-07-27 @ Utenis Utena D 0-051.0 1342 1111 64.26% 18.11% 17.63%+1.37 -4.4 31
2015-07-27 Kruoja Pakruojis D 0-051.6 1411 1128 73.20% 16.91% 9.89%+2.19 -6.1 41
2015-07-27 @ Trakai D 0-051.6 1128 1411 9.89% 16.91% 73.20%-2.19 +6.1 16
2015-07-30 Stumbras D 1-154.5 1184 1129 52.42% 18.77% 28.80%+0.61 -1.9 35
2015-07-30 @ Spyris Kaunas D 1-154.5 1129 1184 28.80% 18.77% 52.42%-0.61 +1.9 21
2015-07-30 Utenis Utena W 2-144.4 1134 1115 47.76% 18.88% 33.35%+0.36 +11.8 19
2015-07-30 @ Kruoja Pakruojis L 1-244.4 1115 1134 33.35% 18.88% 47.76%-0.36 -11.8 20
2015-08-01 FK Siauliai W 5-023.2 1497 959 84.03% 13.28% 2.68%+3.96 +4.7 52
2015-08-01 @ Zalgiris L 0-523.2 959 1497 2.68% 13.28% 84.03%-3.96 -4.7 8
2015-08-01 FK Klaipedos Granitas D 1-155.3 1337 999 76.32% 16.21% 7.47%+2.58 -6.0 32
2015-08-01 @ Atlantas D 1-155.3 999 1337 7.47% 16.21% 76.32%-2.58 +6.0 15
2015-08-02 Trakai L 0-142.3 1332 1405 35.06% 18.91% 46.03%-0.27 -13.1 30
2015-08-02 @ Suduva W 1-042.3 1405 1332 46.03% 18.91% 35.06%+0.27 +13.1 44
2015-08-05 Atlantas D 2-260.4 1131 1331 20.31% 18.34% 61.35%-1.16 +2.5 22
2015-08-05 @ Stumbras D 2-260.4 1331 1131 61.35% 18.34% 20.31%+1.16 -2.5 33
2015-08-05 Trakai W 3-155.1 955 1418 5.56% 15.41% 79.03%-2.99 +44.4 11
2015-08-05 @ FK Siauliai L 1-355.1 1418 955 79.03% 15.41% 5.56%+2.99 -44.4 44
2015-08-06 Kruoja Pakruojis W 2-043.2 1005 1146 26.43% 18.69% 54.88%-0.75 +36.2 18
2015-08-06 @ FK Klaipedos Granitas L 0-243.2 1146 1005 54.88% 18.69% 26.43%+0.75 -36.2 19
2015-08-06 Suduva D 0-050.9 1103 1319 18.91% 18.23% 62.86%-1.27 +4.1 21
2015-08-06 @ Utenis Utena D 0-050.9 1319 1103 62.86% 18.23% 18.91%+1.27 -4.1 31
2015-08-08 Atlantas L 0-229.6 999 1329 10.90% 17.14% 71.96%-2.06 -8.5 11
2015-08-08 @ FK Siauliai W 2-029.6 1329 999 71.96% 17.14% 10.90%+2.06 +8.5 36
2015-08-09 Trakai L 0-529.0 1133 1373 16.88% 18.04% 65.08%-1.44 -30.3 22
2015-08-09 @ Stumbras W 5-029.0 1373 1133 65.08% 18.04% 16.88%+1.44 +30.4 47
2015-08-10 Spyris Kaunas W 3-028.2 1501 1182 75.31% 16.46% 8.23%+2.45 +9.4 55
2015-08-10 @ Zalgiris L 0-328.2 1182 1501 8.23% 16.46% 75.31%-2.45 -9.4 35
2015-08-11 Suduva L 1-240.4 1110 1315 19.83% 18.31% 61.86%-1.20 -7.5 19
2015-08-11 @ Kruoja Pakruojis W 2-140.4 1315 1110 61.86% 18.31% 19.83%+1.20 +7.5 34
2015-08-12 Trakai W 1-045.4 1337 1404 35.86% 18.92% 45.22%-0.23 +16.1 39
2015-08-12 @ Atlantas L 0-145.4 1404 1337 45.22% 18.92% 35.86%+0.23 -16.2 47
2015-08-13 Zalgiris L 1-728.7 1103 1511 7.37% 16.18% 76.45%-2.60 -13.2 22
2015-08-13 @ Stumbras W 7-128.7 1511 1103 76.45% 16.18% 7.37%+2.60 +13.2 58
2015-08-15 FK Klaipedos Granitas W 1-031.9 1323 1041 73.14% 16.92% 9.94%+2.19 +4.1 37
2015-08-15 @ Suduva L 0-131.9 1041 1323 9.94% 16.92% 73.14%-2.19 -4.1 18
2015-08-16 FK Siauliai L 2-357.2 1102 990 59.04% 18.49% 22.47%+1.01 -18.4 19
2015-08-16 @ Kruoja Pakruojis W 3-257.2 990 1102 22.47% 18.49% 59.04%-1.01 +18.4 14
2015-08-16 Spyris Kaunas W 2-139.5 1353 1172 65.73% 17.97% 16.29%+1.49 +6.3 42
2015-08-16 @ Atlantas L 1-239.5 1172 1353 16.29% 17.97% 65.73%-1.49 -6.3 35
2015-08-16 Utenis Utena W 2-137.2 1387 1108 73.01% 16.95% 10.04%+2.17 +3.9 50
2015-08-16 @ Trakai L 1-237.2 1108 1387 10.04% 16.95% 73.01%-2.17 -3.9 21
2015-08-19 Suduva L 0-229.9 1009 1327 11.55% 17.27% 71.17%-1.98 -9.1 14
2015-08-19 @ FK Siauliai W 2-029.9 1327 1009 71.17% 17.27% 11.55%+1.98 +9.0 40
2015-08-20 Trakai L 1-432.6 1037 1391 9.62% 16.85% 73.53%-2.23 -9.2 18
2015-08-20 @ FK Klaipedos Granitas W 4-132.6 1391 1037 73.53% 16.85% 9.62%+2.23 +9.2 53
2015-08-20 Utenis Utena W 3-143.7 1090 1104 43.30% 18.93% 37.77%+0.13 +22.7 25
2015-08-20 @ Stumbras L 1-343.7 1104 1090 37.77% 18.93% 43.30%-0.13 -22.7 21
2015-08-23 Kruoja Pakruojis D 1-154.5 1166 1084 55.77% 18.65% 25.58%+0.80 -2.5 36
2015-08-23 @ Spyris Kaunas D 1-154.5 1084 1166 25.58% 18.65% 55.77%-0.80 +2.4 20
2015-08-24 Atlantas L 0-154.3 1524 1360 64.26% 18.11% 17.62%+1.37 -22.3 58
2015-08-24 @ Zalgiris W 1-054.3 1360 1524 17.62% 18.11% 64.26%-1.37 +22.3 45
2015-08-27 FK Klaipedos Granitas D 0-050.5 1081 1027 52.28% 18.78% 28.94%+0.60 -2.1 22
2015-08-27 @ Utenis Utena D 0-050.5 1027 1081 28.94% 18.78% 52.28%-0.60 +2.1 19
2015-08-27 Trakai L 2-438.4 1000 1401 7.63% 16.27% 76.10%-2.55 -4.6 14
2015-08-27 @ FK Siauliai W 4-238.4 1401 1000 76.10% 16.27% 7.63%+2.55 +4.6 56
2015-08-28 Stumbras W 4-133.1 1382 1113 72.35% 17.07% 10.58%+2.10 +10.2 48
2015-08-28 @ Atlantas L 1-433.1 1113 1382 10.58% 17.07% 72.35%-2.10 -10.1 25
2015-08-29 Kruoja Pakruojis W 3-026.0 1502 1086 79.81% 15.14% 5.05%+3.12 +5.7 61
2015-08-29 @ Zalgiris L 0-326.0 1086 1502 5.05% 15.14% 79.81%-3.12 -5.7 20
2015-08-30 Suduva L 0-136.6 1164 1336 23.09% 18.53% 58.39%-0.96 -9.1 36
2015-08-30 @ Spyris Kaunas W 1-036.6 1336 1164 58.39% 18.53% 23.09%+0.96 +9.1 43
2015-09-11 FK Klaipedos Granitas D 1-154.4 1102 1029 54.65% 18.70% 26.65%+0.74 -2.3 26
2015-09-11 @ Stumbras D 1-154.4 1029 1102 26.65% 18.70% 54.65%-0.74 +2.3 20
2015-09-11 Utenis Utena L 0-236.8 995 1079 33.54% 18.89% 47.57%-0.35 -23.8 14
2015-09-11 @ FK Siauliai W 2-036.8 1079 995 47.57% 18.89% 33.54%+0.35 +23.8 25
2015-09-12 Spyris Kaunas W 5-027.5 1405 1155 71.11% 17.28% 11.61%+1.97 +21.2 59
2015-09-12 @ Trakai L 0-527.5 1155 1405 11.61% 17.28% 71.11%-1.97 -21.2 36
2015-09-12 Suduva W 3-034.8 1507 1345 64.08% 18.13% 17.79%+1.36 +19.8 64
2015-09-12 @ Zalgiris L 0-334.8 1345 1507 17.79% 18.13% 64.08%-1.36 -19.8 43
2015-09-15 Atlantas W 3-148.0 1325 1392 35.79% 18.92% 45.29%-0.23 +26.4 46
2015-09-15 @ Suduva L 1-348.0 1392 1325 45.29% 18.92% 35.79%+0.23 -26.4 48
2015-09-15 Utenis Utena D 1-154.4 1133 1103 49.36% 18.85% 31.78%+0.44 -1.4 37
2015-09-15 @ Spyris Kaunas D 1-154.4 1103 1133 31.78% 18.85% 49.36%-0.44 +1.4 26
2015-09-16 Zalgiris L 0-244.4 1427 1527 31.34% 18.84% 49.82%-0.47 -22.5 59
2015-09-16 @ Trakai W 2-044.4 1527 1427 49.82% 18.84% 31.34%+0.47 +22.5 67
2015-09-17 FK Siauliai W 4-138.5 1032 971 53.12% 18.75% 28.13%+0.65 +25.1 23
2015-09-17 @ FK Klaipedos Granitas L 1-438.5 971 1032 28.13% 18.75% 53.12%-0.65 -25.1 14
2015-09-19 Atlantas W 5-140.4 1404 1366 50.34% 18.83% 30.82%+0.50 +35.0 62
2015-09-19 @ Trakai L 1-540.4 1366 1404 30.82% 18.83% 50.34%-0.50 -35.0 48
2015-09-19 Utenis Utena W 4-344.3 1550 1104 80.98% 14.69% 4.32%+3.33 +1.5 70
2015-09-19 @ Zalgiris L 3-444.3 1104 1550 4.32% 14.69% 80.98%-3.33 -1.5 26
2015-09-20 Spyris Kaunas D 2-259.9 1057 1132 34.67% 18.90% 46.43%-0.29 +0.7 24
2015-09-20 @ FK Klaipedos Granitas D 2-259.9 1132 1057 46.43% 18.90% 34.67%+0.29 -0.7 38
2015-09-22 Suduva L 0-143.7 1331 1352 42.28% 18.94% 38.78%+0.09 -15.3 48
2015-09-22 @ Atlantas W 1-043.7 1352 1331 38.78% 18.94% 42.28%-0.09 +15.3 49
2015-09-23 FK Siauliai W 3-245.0 1100 946 63.30% 18.20% 18.51%+1.30 +6.7 29
2015-09-23 @ Stumbras L 2-345.0 946 1100 18.51% 18.20% 63.30%-1.30 -6.7 14
2015-09-23 Trakai L 1-261.6 1551 1439 59.08% 18.49% 22.43%+1.01 -19.4 70
2015-09-23 @ Zalgiris W 2-161.6 1439 1551 22.43% 18.49% 59.08%-1.01 +19.4 65
2015-09-26 FK Siauliai W 3-244.0 1131 940 66.65% 17.88% 15.47%+1.56 +5.7 41
2015-09-26 @ Spyris Kaunas L 2-344.0 940 1131 15.47% 17.88% 66.65%-1.56 -5.7 14
2015-09-26 Utenis Utena W 1-033.4 1315 1102 68.36% 17.68% 13.96%+1.71 +5.8 51
2015-09-26 @ Atlantas L 0-133.4 1102 1315 13.96% 17.68% 68.36%-1.71 -5.8 26
2015-09-27 FK Klaipedos Granitas W 2-027.4 1532 1057 82.01% 14.26% 3.73%+3.52 +2.8 73
2015-09-27 @ Zalgiris L 0-227.4 1057 1532 3.73% 14.26% 82.01%-3.52 -2.8 24
2015-09-27 Stumbras W 3-028.0 1367 1107 71.74% 17.18% 11.08%+2.04 +12.6 52
2015-09-27 @ Suduva L 0-328.0 1107 1367 11.08% 17.18% 71.74%-2.04 -12.6 29
2015-10-03 Spyris Kaunas W 1-042.0 1094 1137 39.17% 18.94% 41.89%-0.07 +15.1 32
2015-10-03 @ Stumbras L 0-142.0 1137 1094 41.89% 18.94% 39.17%+0.07 -15.2 41
2015-10-03 Kruoja Pakruojis W 3-034.9 1097 1081 47.43% 18.89% 33.68%+0.34 +34.7 29
2015-10-03 @ Utenis Utena L 0-334.9 1081 1097 33.68% 18.89% 47.43%-0.34 -34.7 20
2015-10-03 Suduva W 2-039.1 1458 1379 55.36% 18.67% 25.97%+0.78 +19.1 68
2015-10-03 @ Trakai L 0-239.1 1379 1458 25.97% 18.67% 55.36%-0.78 -19.1 52
2015-10-04 Atlantas L 1-532.5 1055 1321 14.86% 17.80% 67.35%-1.62 -18.2 24
2015-10-04 @ FK Klaipedos Granitas W 5-132.5 1321 1055 67.35% 17.80% 14.86%+1.62 +18.2 54
2015-10-04 Zalgiris L 1-429.6 934 1535 2.73% 13.33% 83.94%-3.94 -2.5 14
2015-10-04 @ FK Siauliai W 4-129.6 1535 934 83.94% 13.33% 2.73%+3.94 +2.5 76
2015-10-17 FK Siauliai W 4-130.6 1339 931 79.51% 15.25% 5.25%+3.06 +5.0 57
2015-10-17 @ Atlantas L 1-430.6 931 1339 5.25% 15.25% 79.51%-3.06 -5.0 14
2015-10-17 Zalgiris L 2-439.4 1122 1537 7.09% 16.07% 76.83%-2.65 -4.3 41
2015-10-17 @ Spyris Kaunas W 4-239.4 1537 1122 76.83% 16.07% 7.09%+2.65 +4.3 79
2015-10-18 Stumbras W 3-134.2 1478 1109 77.76% 15.81% 6.43%+2.79 +4.4 71
2015-10-18 @ Trakai L 1-334.2 1109 1478 6.43% 15.81% 77.76%-2.79 -4.3 32
2015-10-18 Utenis Utena W 3-028.7 1360 1131 69.57% 17.51% 12.91%+1.82 +14.6 55
2015-10-18 @ Suduva L 0-328.7 1131 1360 12.91% 17.51% 69.57%-1.82 -14.6 29
2015-10-24 Atlantas D 1-154.9 1118 1344 17.95% 18.15% 63.90%-1.34 +3.9 42
2015-10-24 @ Spyris Kaunas D 1-154.9 1344 1118 63.90% 18.15% 17.95%+1.34 -3.8 58
2015-10-25 Trakai D 1-155.9 1117 1482 9.13% 16.72% 74.15%-2.31 +5.7 30
2015-10-25 @ Utenis Utena D 1-155.9 1482 1117 74.15% 16.72% 9.13%+2.31 -5.7 72
2015-10-25 Suduva L 1-828.7 1036 1375 10.43% 17.04% 72.53%-2.12 -21.6 24
2015-10-25 @ FK Klaipedos Granitas W 8-128.7 1375 1036 72.53% 17.04% 10.43%+2.12 +21.6 58
2015-10-26 Stumbras W 4-025.3 1541 1105 80.63% 14.83% 4.54%+3.26 +6.6 82
2015-10-26 @ Zalgiris L 0-425.3 1105 1541 4.54% 14.83% 80.63%-3.26 -6.6 32
2015-10-30 FK Klaipedos Granitas W 3-025.1 1476 1015 81.56% 14.45% 3.98%+3.44 +4.4 75
2015-10-30 @ Trakai L 0-325.1 1015 1476 3.98% 14.45% 81.56%-3.44 -4.4 24
2015-10-30 Zalgiris L 0-141.1 1340 1548 19.64% 18.29% 62.06%-1.21 -7.9 58
2015-10-30 @ Atlantas W 1-041.1 1548 1340 62.06% 18.29% 19.64%+1.21 +7.9 85
2015-10-31 FK Siauliai W 5-023.7 1397 926 81.87% 14.32% 3.81%+3.50 +6.8 61
2015-10-31 @ Suduva L 0-523.7 926 1397 3.81% 14.32% 81.87%-3.50 -6.8 14
2015-10-31 Stumbras W 3-142.2 1122 1098 48.46% 18.87% 32.66%+0.40 +20.1 33
2015-10-31 @ Utenis Utena L 1-342.2 1098 1122 32.66% 18.87% 48.46%-0.40 -20.2 32
2015-11-08 Atlantas L 0-231.4 1078 1333 15.76% 17.91% 66.33%-1.54 -12.2 32
2015-11-08 @ Stumbras W 2-031.4 1333 1078 66.33% 17.91% 15.76%+1.54 +12.2 61
2015-11-08 FK Siauliai W 4-023.0 1481 920 84.71% 12.91% 2.37%+4.13 +3.3 78
2015-11-08 @ Trakai L 0-423.0 920 1481 2.37% 12.91% 84.71%-4.13 -3.3 14
2015-11-10 Spyris Kaunas W 5-131.1 1403 1121 73.14% 16.92% 9.93%+2.19 +12.3 64
2015-11-10 @ Suduva L 1-531.1 1121 1403 9.93% 16.92% 73.14%-2.19 -12.3 42
2015-11-10 Utenis Utena L 1-242.6 1010 1143 27.48% 18.73% 53.79%-0.69 -10.0 24
2015-11-10 @ FK Klaipedos Granitas W 2-142.6 1143 1010 53.79% 18.73% 27.48%+0.69 +10.1 36
2015-11-21 Trakai L 1-531.0 1109 1484 8.69% 16.60% 74.71%-2.37 -10.8 42
2015-11-21 @ Spyris Kaunas W 5-131.0 1484 1109 74.71% 16.60% 8.69%+2.37 +10.8 81
2015-11-22 FK Siauliai W 3-243.0 1153 916 70.11% 17.44% 12.45%+1.87 +4.6 39
2015-11-22 @ Utenis Utena L 2-343.0 916 1153 12.45% 17.44% 70.11%-1.87 -4.6 14
2015-11-22 Zalgiris L 1-349.1 1416 1556 26.56% 18.69% 54.75%-0.74 -16.9 64
2015-11-22 @ Suduva W 3-149.1 1556 1416 54.75% 18.69% 26.56%+0.74 +16.9 88
2015-11-28 Spyris Kaunas W 4-138.6 1157 1098 52.95% 18.76% 28.29%+0.64 +25.2 42
2015-11-28 @ Utenis Utena L 1-438.6 1098 1157 28.29% 18.76% 52.95%-0.64 -25.2 42
2015-11-28 Trakai W 3-045.0 1573 1495 55.24% 18.68% 26.08%+0.77 +27.9 91
2015-11-28 @ Zalgiris L 0-345.0 1495 1573 26.08% 18.68% 55.24%-0.77 -27.9 81
2015-11-28 Suduva W 2-150.0 1345 1399 37.56% 18.93% 43.50%-0.15 +14.7 64
2015-11-28 @ Atlantas L 1-250.0 1399 1345 43.50% 18.93% 37.56%+0.15 -14.7 64

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 2015-08-05 5.56% @ FK Siauliai 955 3 Trakai 1418 1
2 2015-03-14 11.59% FK Klaipedos Granitas 1076 1 @ Atlantas 1327 0
3 2015-05-16 13.48% Utenis Utena 1098 1 @ Suduva 1318 0
4 2015-05-27 14.11% @ Utenis Utena 1122 1 Trakai 1399 0
5 2015-08-24 17.62% Atlantas 1360 1 @ Zalgiris 1524 0
6 2015-06-01 19.49% @ Atlantas 1302 4 Zalgiris 1512 2
7 2015-03-14 19.79% Trakai 1188 1 @ Suduva 1327 0
8 2015-05-27 21.57% @ FK Siauliai 981 1 Kruoja Pakruojis 1168 0
9 2015-05-19 21.67% @ Spyris Kaunas 1122 1 Atlantas 1308 0
10 2015-09-23 22.43% Trakai 1439 2 @ Zalgiris 1551 1
11 2015-08-16 22.47% FK Siauliai 990 3 @ Kruoja Pakruojis 1102 2
12 2015-06-07 22.61% @ Spyris Kaunas 1144 2 Suduva 1321 1
13 2015-04-18 23.07% @ Trakai 1300 2 Zalgiris 1472 1
14 2015-08-06 26.43% @ FK Klaipedos Granitas 1005 2 Kruoja Pakruojis 1146 0
15 2015-04-03 27.04% Utenis Utena 1102 1 @ Stumbras 1171 0
16 2015-04-07 27.09% FK Klaipedos Granitas 1052 3 @ Utenis Utena 1121 1
17 2015-05-10 27.43% Spyris Kaunas 1105 4 @ Stumbras 1172 2
18 2015-04-19 29.79% @ Stumbras 1136 2 Kruoja Pakruojis 1249 0
19 2015-06-06 31.25% @ FK Klaipedos Granitas 1043 2 Utenis Utena 1144 1
20 2015-03-14 32.65% Stumbras 1152 4 @ Spyris Kaunas 1176 1
21 2015-06-02 33.29% Spyris Kaunas 1128 2 @ Kruoja Pakruojis 1148 1
22 2015-09-15 35.79% @ Suduva 1325 3 Atlantas 1392 1
23 2015-08-12 35.86% @ Atlantas 1337 1 Trakai 1404 0
24 2015-06-23 36.99% Spyris Kaunas 1144 3 @ Utenis Utena 1136 2
25 2015-11-28 37.56% @ Atlantas 1345 2 Suduva 1399 1

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 2015-08-05 44.42 @ FK Siauliai 3 955 5.56% Trakai 1 1418 79.03% 15.41%
2 2015-06-21 40.62 Stumbras 5 1119 44.28% @ FK Klaipedos Granitas 1 1060 36.79% 18.93%
3 2015-03-14 39.62 Stumbras 4 1152 32.65% @ Spyris Kaunas 1 1176 48.48% 18.87%
4 2015-07-22 39.12 Suduva 4 1293 52.92% @ Stumbras 0 1168 28.32% 18.76%
5 2015-08-06 36.19 @ FK Klaipedos Granitas 2 1005 26.43% Kruoja Pakruojis 0 1146 54.88% 18.69%
6 2015-09-19 35.05 @ Trakai 5 1404 50.34% Atlantas 1 1366 30.82% 18.83%
7 2015-10-03 34.68 @ Utenis Utena 3 1097 47.43% Kruoja Pakruojis 0 1081 33.68% 18.89%
8 2015-04-19 34.09 @ Stumbras 2 1136 29.79% Kruoja Pakruojis 0 1249 51.41% 18.80%
9 2015-06-01 31.61 @ Atlantas 4 1302 19.49% Zalgiris 2 1512 62.23% 18.28%
10 2015-02-28 31.51 @ Atlantas 5 1287 54.05% Trakai 1 1219 27.23% 18.72%
11 2015-04-07 30.98 FK Klaipedos Granitas 3 1052 27.09% @ Utenis Utena 1 1121 54.20% 18.72%
12 2015-08-09 30.35 Trakai 5 1373 65.08% @ Stumbras 0 1133 16.88% 18.04%
13 2015-05-09 29.22 @ Trakai 4 1364 47.47% Suduva 1 1348 33.64% 18.89%
14 2015-03-19 28.20 Kruoja Pakruojis 3 1242 54.89% @ FK Klaipedos Granitas 0 1101 26.42% 18.69%
15 2015-11-28 27.88 @ Zalgiris 3 1573 55.24% Trakai 0 1495 26.08% 18.68%
16 2015-03-21 27.88 @ Trakai 5 1230 57.77% Utenis Utena 1 1130 23.67% 18.56%
17 2015-05-10 27.54 Spyris Kaunas 4 1105 27.43% @ Stumbras 2 1172 53.85% 18.73%
18 2015-04-25 26.80 @ Trakai 2 1319 42.33% Atlantas 0 1339 38.73% 18.94%
19 2015-09-15 26.41 @ Suduva 3 1325 35.79% Atlantas 1 1392 45.29% 18.92%
20 2015-11-28 25.23 @ Utenis Utena 4 1157 52.95% Spyris Kaunas 1 1098 28.29% 18.76%
21 2015-09-17 25.10 @ FK Klaipedos Granitas 4 1032 53.12% FK Siauliai 1 971 28.13% 18.75%
22 2015-03-14 24.69 FK Klaipedos Granitas 1 1076 11.59% @ Atlantas 0 1327 71.13% 17.28%
23 2015-03-01 24.64 Suduva 3 1283 39.38% @ Kruoja Pakruojis 1 1257 41.68% 18.94%
24 2015-04-28 24.42 @ Suduva 3 1327 59.08% Kruoja Pakruojis 0 1215 22.43% 18.49%
25 2015-04-12 24.11 Utenis Utena 2 1090 47.03% @ FK Siauliai 0 1010 34.07% 18.90%

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 2015-09-23 61.6 Trakai 2 1439 22.43% @ Zalgiris 1 1551 59.08% 18.49%
2 2015-06-18 61.5 @ Kruoja Pakruojis 2 1132 9.94% Zalgiris 2 1480 73.14% 16.92%
3 2015-03-22 60.4 @ Kruoja Pakruojis 2 1270 69.58% FK Siauliai 2 1041 12.91% 17.51%
4 2015-08-05 60.4 @ Stumbras 2 1131 20.31% Atlantas 2 1331 61.35% 18.34%
5 2015-04-19 60.0 @ FK Klaipedos Granitas 2 1084 57.58% FK Siauliai 2 986 23.85% 18.57%
6 2015-09-20 59.9 @ FK Klaipedos Granitas 2 1057 34.67% Spyris Kaunas 2 1132 46.43% 18.90%
7 2015-06-01 59.1 @ Atlantas 4 1302 19.49% Zalgiris 2 1512 62.23% 18.28%
8 2015-08-16 57.2 FK Siauliai 3 990 22.47% @ Kruoja Pakruojis 2 1102 59.04% 18.49%
9 2015-10-25 55.9 @ Utenis Utena 1 1117 9.13% Trakai 1 1482 74.15% 16.72%
10 2015-04-17 55.8 @ Suduva 1 1328 43.67% Atlantas 1 1339 37.39% 18.93%
11 2015-08-01 55.3 @ Atlantas 1 1337 76.32% FK Klaipedos Granitas 1 999 7.47% 16.21%
12 2015-05-03 55.1 @ Suduva 1 1352 66.04% Stumbras 1 1167 16.02% 17.94%
13 2015-08-05 55.1 @ FK Siauliai 3 955 5.56% Trakai 1 1418 79.03% 15.41%
14 2015-05-02 54.9 @ Atlantas 1 1313 68.92% Utenis Utena 1 1092 13.48% 17.60%
15 2015-10-24 54.9 @ Spyris Kaunas 1 1118 17.95% Atlantas 1 1344 63.90% 18.15%
16 2015-04-18 54.8 @ Trakai 2 1300 23.07% Zalgiris 1 1472 58.41% 18.53%
17 2015-03-18 54.7 @ Utenis Utena 1 1127 22.38% Suduva 1 1306 59.14% 18.49%
18 2015-03-09 54.6 @ Trakai 1 1187 38.78% Kruoja Pakruojis 1 1233 42.29% 18.94%
19 2015-04-24 54.5 @ FK Siauliai 1 988 22.04% Stumbras 1 1170 59.50% 18.46%
20 2015-05-17 54.5 @ Kruoja Pakruojis 1 1171 58.77% FK Klaipedos Granitas 1 1062 22.73% 18.51%
21 2015-07-30 54.5 @ Spyris Kaunas 1 1184 52.42% Stumbras 1 1129 28.80% 18.77%
22 2015-08-23 54.5 @ Spyris Kaunas 1 1166 55.77% Kruoja Pakruojis 1 1084 25.58% 18.65%
23 2015-04-11 54.4 @ Stumbras 1 1138 52.56% FK Klaipedos Granitas 1 1082 28.67% 18.77%
24 2015-04-26 54.4 @ FK Klaipedos Granitas 1 1082 43.27% Spyris Kaunas 1 1096 37.79% 18.93%
25 2015-06-01 54.4 @ Utenis Utena 1 1146 48.97% Stumbras 1 1118 32.17% 18.86%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2015-11-08 23.0 @ Trakai 4 1481 84.71% FK Siauliai 0 920 2.37% 12.91%
2 2015-08-01 23.2 @ Zalgiris 5 1497 84.03% FK Siauliai 0 959 2.68% 13.28%
3 2015-10-31 23.7 @ Suduva 5 1397 81.87% FK Siauliai 0 926 3.81% 14.32%
4 2015-10-30 25.1 @ Trakai 3 1476 81.56% FK Klaipedos Granitas 0 1015 3.98% 14.45%
5 2015-10-26 25.3 @ Zalgiris 4 1541 80.63% Stumbras 0 1105 4.54% 14.83%
6 2015-05-01 25.6 @ Zalgiris 6 1460 78.23% FK Klaipedos Granitas 0 1082 6.10% 15.67%
7 2015-05-31 25.8 @ Trakai 5 1376 75.18% FK Klaipedos Granitas 0 1058 8.33% 16.49%
8 2015-08-29 26.0 @ Zalgiris 3 1502 79.81% Kruoja Pakruojis 0 1086 5.05% 15.14%
9 2015-05-15 26.2 @ Zalgiris 4 1481 76.79% Spyris Kaunas 0 1133 7.13% 16.09%
10 2015-05-31 26.3 @ Suduva 6 1301 74.16% FK Siauliai 0 1002 9.12% 16.72%
11 2015-05-28 27.0 Zalgiris 4 1498 74.22% @ Stumbras 0 1132 9.07% 16.70%
12 2015-04-09 27.1 @ Trakai 4 1270 70.49% FK Siauliai 0 1028 12.13% 17.38%
13 2015-03-17 27.2 @ Atlantas 5 1302 70.26% FK Siauliai 0 1064 12.32% 17.41%
14 2015-09-27 27.4 @ Zalgiris 2 1532 82.01% FK Klaipedos Granitas 0 1057 3.73% 14.26%
15 2015-09-12 27.5 @ Trakai 5 1405 71.11% Spyris Kaunas 0 1155 11.61% 17.28%
16 2015-05-11 27.6 Zalgiris 6 1474 80.18% @ FK Siauliai 1 982 4.81% 15.00%
17 2015-06-27 27.9 Zalgiris 3 1484 74.01% @ Utenis Utena 0 1121 9.24% 16.75%
18 2015-09-27 28.0 @ Suduva 3 1367 71.74% Stumbras 0 1107 11.08% 17.18%
19 2015-08-10 28.2 @ Zalgiris 3 1501 75.31% Spyris Kaunas 0 1182 8.23% 16.46%
20 2015-08-13 28.7 Zalgiris 7 1511 76.45% @ Stumbras 1 1103 7.37% 16.18%
21 2015-10-18 28.7 @ Suduva 3 1360 69.57% Utenis Utena 0 1131 12.91% 17.51%
22 2015-10-25 28.7 Suduva 8 1375 72.53% @ FK Klaipedos Granitas 1 1036 10.43% 17.04%
23 2015-04-04 29.0 Suduva 3 1311 67.34% @ FK Siauliai 0 1045 14.86% 17.80%
24 2015-08-09 29.0 Trakai 5 1373 65.08% @ Stumbras 0 1133 16.88% 18.04%
25 2015-08-08 29.6 Atlantas 2 1329 71.96% @ FK Siauliai 0 999 10.90% 17.14%