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2016 A Lyga Season

127 games

Final

Champion

Zalgiris

66 points

Relegated

No relegation

Biggest Overachiever

Atlantas

5.48 points above expected

51 points · 45.52 expected points

Biggest Disappointment

Utenis Utena

11.54 points below expected

16 points · 27.54 expected points

League Table

The final standings for the season. vsSim shows actual points minus the simulation's mean — positive means the team overachieved against the model, negative means they underperformed.

# Team GP W D L Pts GF GA GD SimPts vsSim
1 Zalgiris 28 21 3 4 66 62 22 +40 60.70 +5.30
2 Trakai 28 18 4 6 58 47 22 +25 53.62 +4.38
3 Atlantas 28 15 6 7 51 38 25 +13 45.52 +5.48
4 Suduva 28 15 6 7 51 42 32 +10 48.00 +3.00
5 Jonava 28 7 8 13 29 28 44 -16 33.52 -4.52
6 Stumbras 28 7 6 15 27 35 52 -17 23.72 +3.28
7 Utenis Utena 28 4 4 20 16 24 47 -23 27.54 -11.54
8 Kauno Zalgiris 28 2 9 17 15 23 55 -32 20.06 -5.06
# Team GP W D L Pts GF GA GD SimPts vsSim
1 Zalgiris 5 3 1 1 10 12 7 +5 76.69 -66.69
2 Trakai 5 2 3 0 9 8 4 +4 66.75 -57.75
3 Suduva 5 2 1 2 7 13 9 +4 58.47 -51.47
4 Stumbras 5 1 3 1 6 8 11 -3 30.43 -24.43
5 Atlantas 5 1 2 2 5 4 7 -3 58.31 -53.31
6 Jonava 5 1 0 4 3 7 14 -7 33.30 -30.30

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 Atlantas 51 45.52 +5.48
2 Zalgiris 66 60.70 +5.30
3 Trakai 58 53.62 +4.38
4 Stumbras 27 23.72 +3.28
5 Suduva 51 48.00 +3.00

Biggest Disappointments

# Team Actual Sim vsSim
1 Utenis Utena 16 27.54 -11.54
2 Kauno Zalgiris 15 20.06 -5.06
3 Jonava 29 33.52 -4.52
4 Suduva 51 48.00 +3.00
5 Stumbras 27 23.72 +3.28

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 7 Mar 13 – Apr 20 1 in 77
2 Zalgiris 9 Jun 15 – Aug 28 1 in 47
3 Suduva 4 Apr 17 – May 4 1 in 30
4 Atlantas 4 Mar 16 – Apr 6 1 in 24
5 Stumbras 2 May 18 – May 22 1 in 22

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Utenis Utena 6 Apr 26 – Jun 8 1 in 34
2 Trakai 2 Jul 14 – Jul 20 1 in 33
3 Jonava 3 Apr 10 – Apr 20 1 in 12
4 Zalgiris 1 Apr 6 – Apr 6 1 in 4
5 Kauno Zalgiris 3 Jun 14 – Jul 14 1 in 4

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Stumbras 5 May 3 – Jun 8 1 in 56
2 Trakai 13 Mar 13 – Jun 9 1 in 24
3 Jonava 4 Aug 17 – Sep 15 1 in 14
4 Zalgiris 16 May 8 – Sep 20 1 in 13
5 Suduva 9 May 21 – Aug 17 1 in 9

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Kauno Zalgiris 16 Mar 13 – Jul 14 1 in 33
2 Utenis Utena 12 Jul 12 – Oct 16 1 in 20
3 Trakai 2 Apr 28 – May 3 1 in 15
4 Jonava 6 Mar 17 – Apr 20 1 in 14
5 Suduva 5 Aug 17 – Sep 14 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
Zalgiris 1441 76 +0 10 10.9 -0.9
Trakai 1353 67 +16 9 8.8 +0.2
Suduva 1279 58 +4 7 7.7 -0.7
Atlantas 1253 56 -13 5 7.1 -2.1
Stumbras 1066 33 +9 6 3.5 +2.5
Jonava 1097 32 -15 3 4.0 -1.0
Utenis Utena 1043 16 -5 2 3.6 -1.6
Kauno Zalgiris 972 15 -7 2 3.3 -1.3

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 JON KZ STU SUD TRA UU ZAL
Atlantas —
3-1-0
7.37
2-2-0
9.04
4-0-0
8.45
1-1-2
5.28
0-1-3
4.43
3-1-0
8.12
2-0-2
3.28
Jonava
0-1-3
3.76
—
3-1-0
7.52
0-1-3
7.00
0-3-1
3.56
1-1-2
2.79
3-0-1
6.42
0-1-3
2.10
Kauno Zalgiris
0-2-2
2.24
0-1-3
3.61
—
1-2-1
4.86
0-1-3
2.21
0-1-3
1.83
1-1-2
4.44
0-1-3
1.24
Stumbras
0-0-4
2.76
3-1-0
4.10
1-2-1
6.22
—
1-0-3
2.56
1-1-2
1.99
1-2-1
5.09
0-0-4
1.51
Suduva
2-1-1
5.79
1-3-0
7.58
3-1-0
9.08
3-0-1
8.67
—
1-0-3
4.63
4-0-0
8.41
1-1-2
3.37
Trakai
3-1-0
6.65
2-1-1
8.42
3-1-0
9.53
2-1-1
9.34
3-0-1
6.45
—
4-0-0
9.04
1-0-3
4.37
Utenis Utena
0-1-3
3.06
1-0-3
4.66
2-1-1
6.65
1-2-1
5.98
0-0-4
2.80
0-0-4
2.23
—
0-0-4
1.70
Zalgiris
2-0-2
7.87
3-1-0
9.21
3-1-0
10.26
4-0-0
9.92
2-1-1
7.78
3-0-1
6.72
4-0-0
9.69
—

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 0.87 +14.0
Allowed 0.91 -13.7
Differential 0.97 +7.6

Scoreline Distribution

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

↓ Scored | Allowed →012345+Total
06.30%9.06%8.66%1.97%1.18%0.39%27.56%
19.06%9.45%5.51%5.12%1.97%0.79%31.89%
28.66%5.51%5.51%3.15%0.39%—23.23%
31.97%5.12%3.15%0.79%0.39%0.39%11.81%
41.18%1.97%0.39%0.39%——3.94%
5+0.39%0.79%—0.39%——1.57%
Total27.56%31.89%23.23%11.81%3.94%1.57%100%

Summary Statistics

Scored Allowed Difference
Mean 1.38 1.38 +0.00
SD 1.23 1.23 1.78
CV 0.89 0.89 —
Max 6 6 +5
Min 0 0 -5

Games Played: 127

↓ Scored | Allowed →012345+Total
06.06%12.12%6.06%3.03%——27.27%
19.09%12.12%3.03%3.03%——27.27%
221.21%12.12%3.03%———36.36%
3—3.03%3.03%3.03%——9.09%
4———————
5+———————
Total36.36%39.39%15.15%9.09%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.27 0.97 +0.30
SD 0.98 0.95 1.40
CV 0.77 0.98 —
Max 3 3 +2
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
06.06%9.09%6.06%6.06%3.03%—30.30%
112.12%9.09%9.09%9.09%9.09%—48.48%
23.03%—9.09%———12.12%
3——6.06%———6.06%
4———————
5+—3.03%————3.03%
Total21.21%21.21%30.30%15.15%12.12%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.06 1.76 -0.70
SD 1.09 1.30 1.74
CV 1.03 0.74 —
Max 5 4 +4
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
07.14%10.71%14.29%7.14%3.57%—42.86%
1—14.29%7.14%10.71%—3.57%35.71%
2—3.57%10.71%3.57%——17.86%
3——3.57%———3.57%
4———————
5+———————
Total7.14%28.57%35.71%21.43%3.57%3.57%100%

Summary Statistics

Scored Allowed Difference
Mean 0.82 1.96 -1.14
SD 0.86 1.14 1.35
CV 1.05 0.58 —
Max 3 5 +1
Min 0 0 -4

Games Played: 28

↓ Scored | Allowed →012345+Total
09.09%3.03%15.15%——3.03%30.30%
13.03%9.09%3.03%3.03%3.03%3.03%24.24%
26.06%6.06%9.09%12.12%——33.33%
3—6.06%———3.03%9.09%
4—3.03%————3.03%
5+———————
Total18.18%27.27%27.27%15.15%3.03%9.09%100%

Summary Statistics

Scored Allowed Difference
Mean 1.30 1.91 -0.61
SD 1.10 1.61 1.89
CV 0.85 0.84 —
Max 4 6 +3
Min 0 0 -5

Games Played: 33

↓ Scored | Allowed →012345+Total
06.06%3.03%6.06%———15.15%
115.15%9.09%3.03%6.06%3.03%—36.36%
26.06%12.12%3.03%6.06%——27.27%
33.03%3.03%6.06%3.03%——15.15%
43.03%—————3.03%
5+—3.03%————3.03%
Total33.33%30.30%18.18%15.15%3.03%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.67 1.24 +0.42
SD 1.29 1.17 1.73
CV 0.77 0.94 —
Max 6 4 +5
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
09.09%3.03%9.09%———21.21%
115.15%9.09%3.03%3.03%——30.30%
215.15%—3.03%———18.18%
39.09%9.09%3.03%———21.21%
43.03%3.03%—3.03%——9.09%
5+———————
Total51.52%24.24%18.18%6.06%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.67 0.79 +0.88
SD 1.29 0.96 1.62
CV 0.77 1.22 —
Max 4 3 +4
Min 0 0 -2

Games Played: 33

↓ Scored | Allowed →012345+Total
03.57%25.00%14.29%—3.57%—46.43%
13.57%10.71%14.29%3.57%——32.14%
2—3.57%—3.57%3.57%—10.71%
3—7.14%——3.57%—10.71%
4———————
5+———————
Total7.14%46.43%28.57%7.14%10.71%—100%

Summary Statistics

Scored Allowed Difference
Mean 0.86 1.68 -0.82
SD 1.01 1.09 1.28
CV 1.18 0.65 —
Max 3 4 +2
Min 0 0 -4

Games Played: 28

↓ Scored | Allowed →012345+Total
03.03%9.09%————12.12%
112.12%3.03%3.03%3.03%——21.21%
215.15%6.06%6.06%———27.27%
33.03%12.12%3.03%———18.18%
43.03%9.09%3.03%———15.15%
5+3.03%——3.03%——6.06%
Total39.39%39.39%15.15%6.06%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.24 0.88 +1.36
SD 1.50 0.89 1.58
CV 0.67 1.02 —
Max 6 3 +5
Min 0 0 -2

Games Played: 33

Season Summary

Every team's regular-season finish compared against 100,000 simulations. Click any column header to sort. Luck is the team's actual points minus the sim's mean — positive means the team beat the model. Percentile is where the actual result fell in the team's sim distribution (e.g. 90% = the team did this well or better in only 10% of sims).

Team Elo Points Avg Luck Percentile Min 5th Q1 Median Q3 95th Max
Zalgiris 1441 66 60.70 +5.30 84.0% 49 51 58 60 64 69 74
Trakai 1353 58 53.62 +4.38 78.0% 36 42 50 54 58 61 69
Suduva 1279 51 48.00 +3.00 69.0% 33 37 42 48 52 60 65
Atlantas 1253 51 45.52 +5.48 82.0% 31 32 41 45 50 56 60
Jonava 1097 29 33.52 -4.52 24.0% 18 24 30 33 38 44 48
Stumbras 1066 27 23.72 +3.28 78.0% 8 13 20 24 27 34 38
Utenis Utena 1043 16 27.54 -11.54 1.0% 11 18 23 27 31 38 44
Kauno Zalgiris 972 15 20.06 -5.06 25.0% 8 12 15 20 23 30 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
+10.24%
Clear Edge
44.09%22.05%33.86%
Elo Value
Home Edge: 35.69 Elo pts.
205 Elo
0.005 goals per Elo point
0600
Scoring Tilt
Expected
+0.13 goals
Neutral
-2+0.17+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
1.6
One-Team Race
12348
Champion Preseason Odds
77%
Zalgiris, 1st of 8
LongshotFavorite
Title Margin
Expected
0.29/gm
Comfortable
00.250.5/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread
Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 4.92 * Some Luck: 4.92 to 7.38 * Lucky: 7.38 to 9.84 * Wild Swing: 9.84 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 0.5 * Close: 0.5 to 0.75 * Off: 0.75 to 1 * Way Off: 1 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
5.88 points
Some Luck
06.1515
Average Finish Error
Expected
0.50
Close
00.621.5
Biggest Overachiever
Expected 93.75%
84.00%
Zalgiris
50100
Biggest Underachiever
Expected
1.00%
Utenis Utena
06.25%50
Season Outliers
Expected
1 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: 165.03
2.78
Strong Separation
12.52.853.5
Interquartile Edge
80%
Slight Edge
50%77.5%86.5%100%
Best vs. Worst
Baseline 95%
94%
Even
50%100%
Close Games
Expected
58%
Frequent
0%59%100%
Blowouts
Expected
13%
Rare
0%16%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
0.52
Highly Predictable
00.542
Matchup Imbalance
0.49
Slight Separation
00.5
Strangeness
Expected
0.91
As Expected
01.002
Repeatability
0.92
Near-Lock
00.650.811
Upset Rate
Expected
15%
As Expected
0%20%50%
Clear Favorite Upset Rate
Expected
11%
Solid Favorites
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 0.14 * Near Noise Ceiling: 0.14 to 0.21 * Above Noise: 0.21 to 0.28 * Well Above Noise: 0.28 and up.
Probability calibration
0.83
Excellent
0.010.050.10.51
Calibration slope
Ideal
1.33
Very Underconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.091
Well Within Noise
00.1390.4

Elo Progression Through The Playoffs

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

Final Table Odds

Each cell is the probability — across 100,000 simulations — that the team (row) finished at that position (column). Rows are sorted by actual finish (champion at top, bottom of the table at the bottom).

Team12345678
Zalgiris77.00%14.00%8.00%1.00%————
Trakai17.00%54.00%14.00%14.00%1.00%———
Atlantas2.00%9.00%40.00%34.00%14.00%1.00%——
Suduva4.00%23.00%35.00%33.00%4.00%1.00%——
Jonava——3.00%13.00%57.00%17.00%7.00%3.00%
Stumbras———1.00%7.00%26.00%43.00%23.00%
Utenis Utena———4.00%15.00%44.00%26.00%11.00%
Kauno Zalgiris————2.00%11.00%24.00%63.00%

Points Required Per Position

The empirical CDF of simulated point totals per finishing position. Each curve shows, for one position (1st, 2nd, ..., last), the spread of point totals teams accumulated across simulations. Reading the curve at the 50% mark gives the median points typically needed to finish at that position. Steep curves mean the position is tightly clustered around a particular point range; shallow curves mean the position came with a wide variety of point totals.

Next-Season Status

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

Team Same level Qualified for relegation playoff Direct relegation
Atlantas 100% — —
Suduva 100% — —
Trakai 100% — —
Zalgiris 100% — —
Jonava 90.00% 7.00% 3.00%
Utenis Utena 63.00% 26.00% 11.00%
Stumbras 34.00% 43.00% 23.00%
Kauno Zalgiris 13.00% 24.00% 63.00%

Actual Promotion/Relegation Outcomes

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

Team Same level
Atlantas 100%
Jonava 100%
Stumbras 100%
Suduva 100%
Trakai 100%
Zalgiris 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
2016-03-02 Trakai W 2-034.3 1396 1306 54.98% 22.02% 22.99%+0.61 +8.3 3
2016-03-02 @ Zalgiris L 0-234.3 1306 1396 22.99% 22.02% 54.98%-0.61 -8.3 0
2016-03-05 Kauno Zalgiris L 2-356.5 1106 1026 53.80% 22.22% 23.98%+0.56 -8.0 0
2016-03-05 @ Utenis Utena W 3-256.5 1026 1106 23.98% 22.22% 53.80%-0.56 +8.0 3
2016-03-05 Stumbras W 2-028.7 1233 1025 67.46% 18.76% 13.79%+1.19 +5.0 3
2016-03-05 @ Atlantas L 0-228.7 1025 1233 13.79% 18.76% 67.46%-1.19 -5.0 0
2016-03-06 Suduva D 1-154.9 1155 1257 29.42% 22.99% 47.59%-0.33 +0.7 1
2016-03-06 @ Jonava D 1-154.9 1257 1155 47.59% 22.99% 29.42%+0.33 -0.7 1
2016-03-09 Atlantas W 1-039.8 1256 1238 45.85% 23.13% 31.03%+0.26 +5.7 4
2016-03-09 @ Suduva L 0-139.8 1238 1256 31.03% 23.13% 45.85%-0.26 -5.7 3
2016-03-12 Zalgiris L 3-632.4 1020 1404 8.71% 15.15% 76.14%-1.70 -3.0 0
2016-03-12 @ Stumbras W 6-332.4 1404 1020 76.14% 15.15% 8.71%+1.70 +3.0 6
2016-03-13 Jonava L 0-140.7 1098 1155 35.32% 23.34% 41.34%-0.10 -6.3 0
2016-03-13 @ Utenis Utena W 1-040.7 1155 1098 41.34% 23.34% 35.32%+0.10 +6.3 4
2016-03-13 Trakai L 0-229.2 1034 1297 14.80% 19.28% 65.91%-1.11 -5.4 3
2016-03-13 @ Kauno Zalgiris W 2-029.2 1297 1034 65.91% 19.28% 14.80%+1.11 +5.4 3
2016-03-16 Suduva W 3-246.9 1407 1262 61.16% 20.68% 18.16%+0.88 +3.2 9
2016-03-16 @ Zalgiris L 2-346.9 1262 1407 18.16% 20.68% 61.16%-0.88 -3.2 4
2016-03-16 Utenis Utena W 1-035.0 1233 1092 60.72% 20.80% 18.48%+0.86 +3.6 6
2016-03-16 @ Atlantas L 0-135.0 1092 1233 18.48% 20.80% 60.72%-0.86 -3.6 0
2016-03-17 Kauno Zalgiris D 2-261.0 1162 1029 59.87% 21.01% 19.12%+0.82 -1.2 5
2016-03-17 @ Jonava D 2-261.0 1029 1162 19.12% 21.01% 59.87%-0.82 +1.2 4
2016-03-17 Stumbras W 3-241.5 1303 1017 74.10% 16.09% 9.81%+1.57 +1.6 6
2016-03-17 @ Trakai L 2-341.5 1017 1303 9.81% 16.09% 74.10%-1.57 -1.6 0
2016-03-19 Zalgiris L 0-132.2 1088 1410 11.47% 17.33% 71.20%-1.40 -2.2 0
2016-03-19 @ Utenis Utena W 1-032.2 1410 1088 71.20% 17.33% 11.47%+1.40 +2.2 12
2016-03-20 Atlantas L 0-140.1 1160 1236 32.79% 23.24% 43.97%-0.20 -6.0 5
2016-03-20 @ Jonava W 1-040.1 1236 1160 43.97% 23.24% 32.79%+0.20 +6.0 9
2016-03-20 Trakai L 0-237.7 1259 1305 36.91% 23.38% 39.71%-0.05 -12.4 4
2016-03-20 @ Suduva W 2-037.7 1305 1259 39.71% 23.38% 36.91%+0.05 +12.4 9
2016-03-21 Stumbras L 1-249.2 1030 1016 45.36% 23.16% 31.48%+0.25 -7.3 4
2016-03-21 @ Kauno Zalgiris W 2-149.2 1016 1030 31.48% 23.16% 45.36%-0.25 +7.3 3
2016-03-30 Utenis Utena W 1-032.4 1317 1086 69.50% 18.00% 12.50%+1.30 +2.4 12
2016-03-30 @ Trakai L 0-132.4 1086 1317 12.50% 18.00% 69.50%-1.30 -2.4 0
2016-04-02 Jonava D 2-262.9 1412 1154 71.83% 17.07% 11.10%+1.43 -1.8 13
2016-04-02 @ Zalgiris D 2-262.9 1154 1412 11.10% 17.07% 71.83%-1.43 +1.8 6
2016-04-02 Kauno Zalgiris W 3-134.1 1242 1023 68.49% 18.38% 13.13%+1.25 +4.1 12
2016-04-02 @ Atlantas L 1-334.1 1023 1242 13.13% 18.38% 68.49%-1.25 -4.1 4
2016-04-03 Suduva L 2-345.2 1023 1247 17.56% 20.47% 61.97%-0.92 -3.1 3
2016-04-03 @ Stumbras W 3-245.2 1247 1023 61.97% 20.47% 17.56%+0.92 +3.1 7
2016-04-06 Zalgiris W 2-153.2 1246 1410 22.71% 21.96% 55.33%-0.63 +8.6 15
2016-04-06 @ Atlantas L 1-253.2 1410 1246 55.33% 21.96% 22.71%+0.63 -8.6 13
2016-04-09 Stumbras W 1-037.5 1084 1020 51.84% 22.51% 25.65%+0.49 +4.9 3
2016-04-09 @ Utenis Utena L 0-137.5 1020 1084 25.65% 22.51% 51.84%-0.49 -4.9 3
2016-04-10 Trakai L 0-136.9 1156 1319 22.82% 21.98% 55.20%-0.62 -4.4 6
2016-04-10 @ Jonava W 1-036.9 1319 1156 55.20% 21.98% 22.82%+0.62 +4.4 15
2016-04-10 Suduva D 2-261.3 1019 1250 17.02% 20.26% 62.72%-0.95 +1.3 5
2016-04-10 @ Kauno Zalgiris D 2-261.3 1250 1019 62.72% 20.26% 17.02%+0.95 -1.3 8
2016-04-16 Jonava W 2-041.2 1015 1152 25.49% 22.49% 52.03%-0.49 +16.3 6
2016-04-16 @ Stumbras L 0-241.2 1152 1015 52.03% 22.49% 25.49%+0.49 -16.3 6
2016-04-16 Kauno Zalgiris W 3-022.4 1402 1020 80.90% 12.74% 6.35%+2.04 +3.1 16
2016-04-16 @ Zalgiris L 0-322.4 1020 1402 6.35% 12.74% 80.90%-2.04 -3.1 5
2016-04-17 Atlantas W 2-033.9 1324 1255 52.42% 22.43% 25.15%+0.51 +9.0 18
2016-04-17 @ Trakai L 0-233.9 1255 1324 25.15% 22.43% 52.42%-0.51 -9.0 15
2016-04-17 Utenis Utena W 2-140.0 1248 1089 62.72% 20.26% 17.02%+0.95 +3.1 11
2016-04-17 @ Suduva L 1-240.0 1089 1248 17.02% 20.26% 62.72%-0.95 -3.1 3
2016-04-20 Jonava W 3-029.2 1252 1136 58.01% 21.43% 20.56%+0.74 +10.9 14
2016-04-20 @ Suduva L 0-329.2 1136 1252 20.56% 21.43% 58.01%-0.74 -10.9 6
2016-04-20 Zalgiris W 1-045.5 1333 1405 33.26% 23.26% 43.48%-0.18 +7.4 21
2016-04-20 @ Trakai L 0-145.5 1405 1333 43.48% 23.26% 33.26%+0.18 -7.5 16
2016-04-21 Atlantas L 2-345.4 1031 1246 18.27% 20.72% 61.00%-0.87 -3.2 6
2016-04-21 @ Stumbras W 3-245.4 1246 1031 61.00% 20.72% 18.27%+0.87 +3.2 18
2016-04-22 Utenis Utena L 1-341.7 1017 1086 33.73% 23.29% 42.98%-0.16 -10.0 5
2016-04-22 @ Kauno Zalgiris W 3-141.7 1086 1017 42.98% 23.29% 33.73%+0.16 +10.0 6
2016-04-26 Utenis Utena W 1-038.9 1125 1096 47.32% 23.01% 29.67%+0.32 +5.5 9
2016-04-26 @ Jonava L 0-138.9 1096 1125 29.67% 23.01% 47.32%-0.32 -5.5 6
2016-04-27 Stumbras W 2-025.1 1397 1028 80.10% 13.17% 6.73%+1.98 +2.2 19
2016-04-27 @ Zalgiris L 0-225.1 1028 1397 6.73% 13.17% 80.10%-1.98 -2.2 6
2016-04-27 Suduva L 1-248.6 1249 1262 41.50% 23.34% 35.16%+0.11 -6.8 18
2016-04-27 @ Atlantas W 2-148.6 1262 1249 35.16% 23.34% 41.50%-0.11 +6.8 17
2016-04-28 Kauno Zalgiris D 0-052.8 1340 1007 77.65% 14.42% 7.93%+1.80 -3.1 22
2016-04-28 @ Trakai D 0-052.8 1007 1340 7.93% 14.42% 77.65%-1.80 +3.1 6
2016-05-03 Trakai D 0-051.8 1026 1337 12.00% 17.69% 70.31%-1.35 +2.6 7
2016-05-03 @ Stumbras D 0-051.8 1337 1026 70.31% 17.69% 12.00%+1.35 -2.6 23
2016-05-04 Jonava L 1-535.0 1010 1130 27.35% 22.75% 49.90%-0.41 -15.3 6
2016-05-04 @ Kauno Zalgiris W 5-135.0 1130 1010 49.90% 22.75% 27.35%+0.41 +15.3 12
2016-05-04 Zalgiris W 1-046.8 1269 1400 26.19% 22.59% 51.22%-0.46 +8.5 20
2016-05-04 @ Suduva L 0-146.8 1400 1269 51.22% 22.59% 26.19%+0.46 -8.5 19
2016-05-05 Atlantas L 0-232.8 1090 1242 23.89% 22.20% 53.91%-0.57 -8.6 6
2016-05-05 @ Utenis Utena W 2-032.8 1242 1090 53.91% 22.20% 23.89%+0.57 +8.6 21
2016-05-07 Suduva W 3-140.3 1334 1278 50.92% 22.63% 26.45%+0.45 +8.2 26
2016-05-07 @ Trakai L 1-340.3 1278 1334 26.45% 22.63% 50.92%-0.45 -8.2 20
2016-05-08 Jonava W 2-032.0 1251 1145 56.81% 21.68% 21.51%+0.69 +7.8 24
2016-05-08 @ Atlantas L 0-232.0 1145 1251 21.51% 21.68% 56.81%-0.69 -7.8 12
2016-05-08 Utenis Utena W 2-026.4 1391 1081 75.94% 15.24% 8.81%+1.69 +3.1 22
2016-05-08 @ Zalgiris L 0-226.4 1081 1391 8.81% 15.24% 75.94%-1.69 -3.1 6
2016-05-11 Kauno Zalgiris D 0-050.1 1028 995 47.93% 22.96% 29.11%+0.34 -0.8 8
2016-05-11 @ Stumbras D 0-050.1 995 1028 29.11% 22.96% 47.93%-0.34 +0.8 7
2016-05-17 Atlantas L 0-229.1 995 1259 14.80% 19.28% 65.93%-1.11 -5.4 7
2016-05-17 @ Kauno Zalgiris W 2-029.1 1259 995 65.93% 19.28% 14.80%+1.11 +5.4 27
2016-05-18 Stumbras L 0-149.6 1270 1028 70.49% 17.62% 11.89%+1.36 -11.2 20
2016-05-18 @ Suduva W 1-049.6 1028 1270 11.89% 17.62% 70.49%-1.36 +11.2 11
2016-05-18 Zalgiris L 0-134.1 1138 1394 15.24% 19.49% 65.27%-1.08 -3.0 12
2016-05-18 @ Jonava W 1-034.1 1394 1138 65.27% 19.49% 15.24%+1.08 +3.0 25
2016-05-19 Trakai L 0-229.3 1078 1343 14.73% 19.25% 66.02%-1.12 -5.4 6
2016-05-19 @ Utenis Utena W 2-029.3 1343 1078 66.02% 19.25% 14.73%+1.12 +5.4 29
2016-05-21 Atlantas W 1-036.6 1397 1264 59.90% 21.00% 19.10%+0.82 +3.7 28
2016-05-21 @ Zalgiris L 0-136.6 1264 1397 19.10% 21.00% 59.90%-0.82 -3.7 27
2016-05-21 Kauno Zalgiris W 1-031.3 1258 990 72.70% 16.71% 10.59%+1.48 +2.0 23
2016-05-21 @ Suduva L 0-131.3 990 1258 10.59% 16.71% 72.70%-1.48 -2.0 7
2016-05-22 Jonava W 3-026.4 1348 1135 67.94% 18.58% 13.48%+1.22 +7.1 32
2016-05-22 @ Trakai L 0-326.4 1135 1348 13.48% 18.58% 67.94%-1.22 -7.1 12
2016-05-22 Utenis Utena W 3-143.0 1039 1073 38.53% 23.38% 38.08%+0.01 +11.0 14
2016-05-22 @ Stumbras L 1-343.0 1073 1039 38.08% 23.38% 38.53%-0.01 -11.0 6
2016-06-08 Stumbras D 2-260.7 1128 1050 53.53% 22.26% 24.21%+0.55 -0.8 13
2016-06-08 @ Jonava D 2-260.7 1050 1128 24.21% 22.26% 53.53%-0.55 +0.8 15
2016-06-08 Suduva L 0-428.5 1062 1260 19.61% 21.16% 59.24%-0.79 -13.6 6
2016-06-08 @ Utenis Utena W 4-028.5 1260 1062 59.24% 21.16% 19.61%+0.79 +13.6 26
2016-06-09 Trakai D 2-261.4 1260 1355 30.38% 23.07% 46.55%-0.29 +0.4 28
2016-06-09 @ Atlantas D 2-261.4 1355 1260 46.55% 23.07% 30.38%+0.29 -0.4 33
2016-06-09 Zalgiris D 1-157.5 988 1401 7.64% 14.13% 78.23%-1.84 +2.8 8
2016-06-09 @ Kauno Zalgiris D 1-157.5 1401 988 78.23% 14.13% 7.64%+1.84 -2.8 29
2016-06-14 Kauno Zalgiris W 2-143.3 1048 991 51.02% 22.62% 26.36%+0.46 +4.7 9
2016-06-14 @ Utenis Utena L 1-243.3 991 1048 26.36% 22.62% 51.02%-0.46 -4.7 8
2016-06-15 Trakai W 3-142.5 1398 1355 49.20% 22.83% 27.97%+0.39 +8.6 32
2016-06-15 @ Zalgiris L 1-342.5 1355 1398 27.97% 22.83% 49.20%-0.39 -8.6 33
2016-06-15 Stumbras W 2-028.7 1261 1051 67.65% 18.69% 13.66%+1.20 +5.0 31
2016-06-15 @ Atlantas L 0-228.7 1051 1261 13.66% 18.69% 67.65%-1.20 -5.0 15
2016-06-16 Suduva D 1-155.1 1127 1274 24.41% 22.30% 53.29%-0.54 +1.1 14
2016-06-16 @ Jonava D 1-155.1 1274 1127 53.29% 22.30% 24.41%+0.54 -1.1 27
2016-06-21 Trakai L 0-424.0 986 1346 9.68% 15.99% 74.33%-1.58 -6.5 8
2016-06-21 @ Kauno Zalgiris W 4-024.0 1346 986 74.33% 15.99% 9.68%+1.58 +6.5 36
2016-06-22 Jonava W 3-144.7 1053 1128 32.93% 23.25% 43.83%-0.19 +12.2 12
2016-06-22 @ Utenis Utena L 1-344.7 1128 1053 43.83% 23.25% 32.93%+0.19 -12.2 14
2016-06-24 Atlantas D 3-364.8 1273 1266 44.33% 23.22% 32.45%+0.21 -0.3 28
2016-06-24 @ Suduva D 3-364.8 1266 1273 32.45% 23.22% 44.33%-0.21 +0.3 32
2016-06-24 Zalgiris L 0-525.0 1046 1407 9.64% 15.96% 74.40%-1.59 -7.9 15
2016-06-24 @ Stumbras W 5-025.0 1407 1046 74.40% 15.96% 9.64%+1.59 +7.9 35
2016-07-12 Utenis Utena W 2-028.9 1266 1065 66.77% 19.00% 14.24%+1.15 +5.2 35
2016-07-12 @ Atlantas L 0-228.9 1065 1266 14.24% 19.00% 66.77%-1.15 -5.2 12
2016-07-14 Kauno Zalgiris W 3-245.6 1116 980 60.22% 20.92% 18.86%+0.84 +3.3 17
2016-07-14 @ Jonava L 2-345.6 980 1116 18.86% 20.92% 60.22%-0.84 -3.3 8
2016-07-14 Stumbras L 0-246.5 1353 1038 76.32% 15.06% 8.61%+1.71 -22.5 36
2016-07-14 @ Trakai W 2-046.5 1038 1353 8.61% 15.06% 76.32%-1.71 +22.5 18
2016-07-19 Atlantas L 1-242.7 1119 1271 23.87% 22.20% 53.93%-0.57 -4.3 17
2016-07-19 @ Jonava W 2-142.7 1271 1119 53.93% 22.20% 23.87%+0.57 +4.3 38
2016-07-20 Trakai W 1-043.5 1273 1330 35.23% 23.34% 41.43%-0.11 +7.2 31
2016-07-20 @ Suduva L 0-143.5 1330 1273 41.43% 23.34% 35.23%+0.11 -7.2 36
2016-07-20 Stumbras W 2-149.1 976 1060 31.75% 23.18% 45.07%-0.23 +7.2 11
2016-07-20 @ Kauno Zalgiris L 1-249.1 1060 976 45.07% 23.18% 31.75%+0.23 -7.2 18
2016-07-23 Zalgiris L 2-436.6 1060 1415 9.92% 16.19% 73.89%-1.56 -2.7 12
2016-07-23 @ Utenis Utena W 4-236.6 1415 1060 73.89% 16.19% 9.92%+1.56 +2.7 38
2016-07-26 Suduva L 2-345.1 1053 1280 17.34% 20.38% 62.28%-0.93 -3.0 18
2016-07-26 @ Stumbras W 3-245.1 1280 1053 62.28% 20.38% 17.34%+0.93 +3.0 34
2016-07-27 Jonava W 4-129.4 1417 1115 75.42% 15.49% 9.09%+1.65 +3.9 41
2016-07-27 @ Zalgiris L 1-429.4 1115 1417 9.09% 15.49% 75.42%-1.65 -3.9 17
2016-07-27 Kauno Zalgiris D 1-156.9 1276 984 74.59% 15.87% 9.54%+1.60 -2.6 39
2016-07-27 @ Atlantas D 1-156.9 984 1276 9.54% 15.87% 74.59%-1.60 +2.6 12
2016-07-28 Utenis Utena W 4-344.7 1323 1057 72.48% 16.80% 10.72%+1.47 +1.8 39
2016-07-28 @ Trakai L 3-444.7 1057 1323 10.72% 16.80% 72.48%-1.47 -1.8 12
2016-08-02 Zalgiris L 0-138.9 1273 1421 24.31% 22.28% 53.41%-0.55 -4.6 39
2016-08-02 @ Atlantas W 1-038.9 1421 1273 53.41% 22.28% 24.31%+0.55 +4.6 44
2016-08-03 Trakai D 1-155.6 1111 1325 18.32% 20.74% 60.94%-0.87 +1.6 18
2016-08-03 @ Jonava D 1-155.6 1325 1111 60.94% 20.74% 18.32%+0.87 -1.7 40
2016-08-03 Stumbras D 0-050.0 1056 1050 44.15% 23.23% 32.62%+0.20 -0.5 13
2016-08-03 @ Utenis Utena D 0-050.0 1050 1056 32.62% 23.23% 44.15%-0.20 +0.5 19
2016-08-04 Suduva L 0-132.4 986 1283 12.80% 18.19% 69.01%-1.27 -2.5 12
2016-08-04 @ Kauno Zalgiris W 1-032.4 1283 986 69.01% 18.19% 12.80%+1.27 +2.5 37
2016-08-10 Atlantas W 3-032.1 1323 1268 50.66% 22.66% 26.68%+0.44 +13.8 43
2016-08-10 @ Trakai L 0-332.1 1268 1323 26.68% 22.66% 50.66%-0.44 -13.8 39
2016-08-10 Utenis Utena W 2-137.9 1285 1055 69.44% 18.03% 12.53%+1.30 +2.3 40
2016-08-10 @ Suduva L 1-237.9 1055 1285 12.53% 18.03% 69.44%-1.30 -2.3 13
2016-08-11 Jonava W 2-148.3 1050 1112 34.64% 23.32% 42.04%-0.13 +6.8 22
2016-08-11 @ Stumbras L 1-248.3 1112 1050 42.04% 23.32% 34.64%+0.13 -6.8 18
2016-08-11 Kauno Zalgiris W 3-129.5 1426 984 84.42% 10.79% 4.79%+2.33 +1.3 47
2016-08-11 @ Zalgiris L 1-329.5 984 1426 4.79% 10.79% 84.42%-2.33 -1.3 12
2016-08-16 Atlantas L 0-231.2 1057 1255 19.69% 21.18% 59.13%-0.79 -7.2 22
2016-08-16 @ Stumbras W 2-031.2 1255 1057 59.13% 21.18% 19.69%+0.79 +7.2 42
2016-08-17 Jonava D 0-051.3 1288 1106 64.97% 19.59% 15.45%+1.06 -2.2 41
2016-08-17 @ Suduva D 0-051.3 1106 1288 15.45% 19.59% 64.97%-1.06 +2.2 19
2016-08-17 Zalgiris L 1-247.8 1337 1427 30.93% 23.12% 45.95%-0.27 -5.4 43
2016-08-17 @ Trakai W 2-147.8 1427 1337 45.95% 23.12% 30.93%+0.27 +5.4 50
2016-08-18 Utenis Utena D 1-154.6 982 1053 33.48% 23.28% 43.24%-0.17 +0.4 13
2016-08-18 @ Kauno Zalgiris D 1-154.6 1053 982 43.24% 23.28% 33.48%+0.17 -0.4 14
2016-08-24 Stumbras W 3-130.7 1433 1050 80.94% 12.72% 6.34%+2.04 +1.8 53
2016-08-24 @ Zalgiris L 1-330.7 1050 1433 6.34% 12.72% 80.94%-2.04 -1.8 22
2016-08-24 Suduva W 2-147.3 1262 1285 40.05% 23.37% 36.58%+0.06 +6.1 45
2016-08-24 @ Atlantas L 1-247.3 1285 1262 36.58% 23.37% 40.05%-0.06 -6.1 41
2016-08-25 Kauno Zalgiris W 3-022.9 1332 983 78.73% 13.88% 7.39%+1.88 +3.7 46
2016-08-25 @ Trakai L 0-322.9 983 1332 7.39% 13.88% 78.73%-1.88 -3.6 13
2016-08-25 Utenis Utena W 1-037.9 1108 1053 50.70% 22.66% 26.64%+0.44 +5.0 22
2016-08-25 @ Jonava L 0-137.9 1053 1108 26.64% 22.66% 50.70%-0.44 -5.0 14
2016-08-28 Suduva W 4-134.8 1434 1279 62.26% 20.39% 17.35%+0.93 +7.8 56
2016-08-28 @ Zalgiris L 1-434.8 1279 1434 17.35% 20.39% 62.26%-0.93 -7.8 41
2016-09-07 Trakai L 1-431.2 1048 1335 13.35% 18.51% 68.14%-1.23 -5.9 22
2016-09-07 @ Stumbras W 4-131.2 1335 1048 68.14% 18.51% 13.35%+1.23 +5.9 49
2016-09-07 Zalgiris D 0-052.5 1271 1442 22.08% 21.82% 56.11%-0.66 +1.4 42
2016-09-07 @ Suduva D 0-052.5 1442 1271 56.11% 21.82% 22.08%+0.66 -1.5 57
2016-09-08 Atlantas D 1-155.5 1048 1268 17.82% 20.56% 61.61%-0.90 +1.7 15
2016-09-08 @ Utenis Utena D 1-155.5 1268 1048 61.61% 20.56% 17.82%+0.90 -1.7 46
2016-09-08 Jonava L 0-137.6 979 1113 25.85% 22.54% 51.60%-0.48 -4.9 13
2016-09-08 @ Kauno Zalgiris W 1-037.6 1113 979 51.60% 22.54% 25.85%+0.48 +4.9 25
2016-09-14 Kauno Zalgiris D 2-260.6 1042 974 52.34% 22.44% 25.22%+0.51 -0.8 23
2016-09-14 @ Stumbras D 2-260.6 974 1042 25.22% 22.44% 52.34%-0.51 +0.8 14
2016-09-14 Suduva W 2-034.2 1341 1273 52.36% 22.44% 25.20%+0.51 +9.0 52
2016-09-14 @ Trakai L 0-234.2 1273 1341 25.20% 22.44% 52.36%-0.51 -9.0 42
2016-09-15 Jonava D 0-051.0 1266 1118 61.58% 20.57% 17.85%+0.90 -1.9 47
2016-09-15 @ Atlantas D 0-051.0 1118 1266 17.85% 20.57% 61.58%-0.90 +1.9 26
2016-09-15 Utenis Utena W 2-134.6 1441 1049 81.50% 12.42% 6.08%+2.08 +1.0 60
2016-09-15 @ Zalgiris L 1-234.6 1049 1441 6.08% 12.42% 81.50%-2.08 -1.0 15
2016-09-19 Trakai L 0-132.4 1048 1350 12.51% 18.01% 69.48%-1.30 -2.4 15
2016-09-19 @ Utenis Utena W 1-032.4 1350 1048 69.48% 18.01% 12.51%+1.30 +2.4 55
2016-09-20 Stumbras W 2-028.3 1264 1042 68.75% 18.29% 12.96%+1.26 +4.7 45
2016-09-20 @ Suduva L 0-228.3 1042 1264 12.96% 18.29% 68.75%-1.26 -4.7 23
2016-09-20 Zalgiris L 0-425.5 1119 1442 11.44% 17.31% 71.25%-1.40 -7.8 26
2016-09-20 @ Jonava W 4-025.5 1442 1119 71.25% 17.31% 11.44%+1.40 +7.8 63
2016-09-21 Atlantas D 1-156.1 975 1264 13.20% 18.43% 68.37%-1.24 +2.2 15
2016-09-21 @ Kauno Zalgiris D 1-156.1 1264 975 68.37% 18.43% 13.20%+1.24 -2.2 48
2016-10-01 Atlantas L 0-150.6 1449 1262 65.48% 19.42% 15.10%+1.09 -10.6 63
2016-10-01 @ Zalgiris W 1-050.6 1262 1449 15.10% 19.42% 65.48%-1.09 +10.6 51
2016-10-01 Kauno Zalgiris W 2-026.5 1269 977 74.54% 15.89% 9.56%+1.60 +3.4 48
2016-10-01 @ Suduva L 0-226.5 977 1269 9.56% 15.89% 74.54%-1.60 -3.4 15
2016-10-02 Jonava L 0-245.6 1353 1112 70.39% 17.66% 11.95%+1.35 -21.1 55
2016-10-02 @ Trakai W 2-045.6 1112 1353 11.95% 17.66% 70.39%-1.35 +21.1 29
2016-10-02 Utenis Utena D 1-154.6 1037 1046 42.10% 23.32% 34.58%+0.13 -0.3 24
2016-10-02 @ Stumbras D 1-154.6 1046 1037 34.58% 23.32% 42.10%-0.13 +0.3 16
2016-10-16 Trakai L 0-141.6 1273 1331 35.09% 23.34% 41.57%-0.11 -6.3 51
2016-10-16 @ Atlantas W 1-041.6 1331 1273 41.57% 23.34% 35.09%+0.11 +6.3 58
2016-10-16 Stumbras L 1-444.8 1133 1037 55.74% 21.89% 22.37%+0.64 -21.2 29
2016-10-16 @ Jonava W 4-144.8 1037 1133 22.37% 21.89% 55.74%-0.64 +21.2 27
2016-10-16 Suduva L 1-240.1 1046 1272 17.42% 20.41% 62.17%-0.93 -3.2 16
2016-10-16 @ Utenis Utena W 2-140.1 1272 1046 62.17% 20.41% 17.42%+0.93 +3.2 51
2016-10-16 Zalgiris L 0-224.6 974 1439 6.01% 12.34% 81.64%-2.10 -2.0 15
2016-10-16 @ Kauno Zalgiris W 2-024.6 1439 974 81.64% 12.34% 6.01%+2.10 +2.0 66

Second Phase Game Log

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

Date Opponent ScoreExcitement Pre Elo Opp Elo Win % Tie % Loss %Proj. Margin Elo Δ Points
2016-10-21 Trakai D 0-050.9 1266 1338 33.39% 23.27% 43.34%-0.17 +0.4 1
2016-10-21 @ Atlantas D 0-050.9 1338 1266 43.34% 23.27% 33.39%+0.17 -0.4 1
2016-10-22 Stumbras W 6-129.2 1275 1058 68.30% 18.45% 13.25%+1.23 +9.3 3
2016-10-22 @ Suduva L 1-629.2 1058 1275 13.25% 18.45% 68.30%-1.23 -9.3 0
2016-10-22 Zalgiris L 1-430.6 1112 1441 11.09% 17.07% 71.85%-1.43 -4.8 0
2016-10-22 @ Jonava W 4-130.6 1441 1112 71.85% 17.07% 11.09%+1.43 +4.9 3
2016-10-29 Jonava W 3-144.1 1049 1107 35.14% 23.34% 41.52%-0.11 +11.7 3
2016-10-29 @ Stumbras L 1-344.1 1107 1049 41.52% 23.34% 35.14%+0.11 -11.7 0
2016-10-29 Suduva D 1-155.9 1337 1284 50.43% 22.69% 26.88%+0.43 -0.9 2
2016-10-29 @ Trakai D 1-155.9 1284 1337 26.88% 22.69% 50.43%-0.43 +0.9 4
2016-10-30 Atlantas W 2-031.5 1446 1267 64.66% 19.69% 15.66%+1.05 +5.7 6
2016-10-30 @ Zalgiris L 0-231.5 1267 1446 15.66% 19.69% 64.66%-1.05 -5.7 1
2016-11-05 Zalgiris L 1-340.3 1285 1451 22.51% 21.92% 55.58%-0.64 -7.1 4
2016-11-05 @ Suduva W 3-140.3 1451 1285 55.58% 21.92% 22.51%+0.64 +7.1 9
2016-11-06 Jonava W 2-139.8 1261 1095 63.38% 20.07% 16.55%+0.99 +3.0 4
2016-11-06 @ Atlantas L 1-239.8 1095 1261 16.55% 20.07% 63.38%-0.99 -3.0 0
2016-11-06 Stumbras D 1-156.9 1336 1060 73.34% 16.43% 10.23%+1.52 -2.5 3
2016-11-06 @ Trakai D 1-156.9 1060 1336 10.23% 16.43% 73.34%-1.52 +2.5 4
2016-11-18 Stumbras D 2-264.2 1459 1063 81.77% 12.27% 5.95%+2.11 -2.2 10
2016-11-18 @ Zalgiris D 2-264.2 1063 1459 5.95% 12.27% 81.77%-2.11 +2.2 5
2016-11-20 Atlantas W 3-141.6 1278 1264 45.29% 23.16% 31.55%+0.24 +9.5 7
2016-11-20 @ Suduva L 1-341.6 1264 1278 31.55% 23.16% 45.29%-0.24 -9.5 4
2016-11-20 Jonava W 3-133.7 1334 1092 70.49% 17.62% 11.89%+1.36 +3.7 6
2016-11-20 @ Trakai L 1-333.7 1092 1334 11.89% 17.62% 70.49%-1.36 -3.7 0
2016-11-26 Atlantas D 1-155.3 1065 1255 20.34% 21.37% 58.29%-0.75 +1.5 6
2016-11-26 @ Stumbras D 1-155.3 1255 1065 58.29% 21.37% 20.34%+0.75 -1.5 5
2016-11-26 Trakai L 1-352.0 1456 1338 58.32% 21.36% 20.31%+0.75 -15.6 10
2016-11-26 @ Zalgiris W 3-152.0 1338 1456 20.31% 21.36% 58.32%-0.75 +15.6 9
2016-11-26 Suduva W 3-258.0 1088 1288 19.52% 21.13% 59.35%-0.80 +8.7 3
2016-11-26 @ Jonava L 2-358.0 1288 1088 59.35% 21.13% 19.52%+0.80 -8.7 7

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 2016-07-14 8.61% Stumbras 1038 2 @ Trakai 1353 0
2 2016-05-18 11.89% Stumbras 1028 1 @ Suduva 1270 0
3 2016-10-02 11.95% Jonava 1112 2 @ Trakai 1353 0
4 2016-10-01 15.10% Atlantas 1262 1 @ Zalgiris 1449 0
5 2016-11-26 19.52% @ Jonava 1088 3 Suduva 1288 2
6 2016-11-26 20.31% Trakai 1338 3 @ Zalgiris 1456 1
7 2016-10-16 22.37% Stumbras 1037 4 @ Jonava 1133 1
8 2016-04-06 22.71% @ Atlantas 1246 2 Zalgiris 1410 1
9 2016-03-05 23.98% Kauno Zalgiris 1026 3 @ Utenis Utena 1106 2
10 2016-04-16 25.49% @ Stumbras 1015 2 Jonava 1152 0
11 2016-05-04 26.19% @ Suduva 1269 1 Zalgiris 1400 0
12 2016-03-21 31.48% Stumbras 1016 2 @ Kauno Zalgiris 1030 1
13 2016-07-20 31.75% @ Kauno Zalgiris 976 2 Stumbras 1060 1
14 2016-06-22 32.93% @ Utenis Utena 1053 3 Jonava 1128 1
15 2016-04-20 33.26% @ Trakai 1333 1 Zalgiris 1405 0
16 2016-08-11 34.64% @ Stumbras 1050 2 Jonava 1112 1
17 2016-10-29 35.14% @ Stumbras 1049 3 Jonava 1107 1
18 2016-04-27 35.16% Suduva 1262 2 @ Atlantas 1249 1
19 2016-07-20 35.23% @ Suduva 1273 1 Trakai 1330 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 2016-07-14 22.46 Stumbras 2 1038 8.61% @ Trakai 0 1353 76.32% 15.06%
2 2016-10-16 21.24 Stumbras 4 1037 22.37% @ Jonava 1 1133 55.74% 21.89%
3 2016-10-02 21.15 Jonava 2 1112 11.95% @ Trakai 0 1353 70.39% 17.66%
4 2016-04-16 16.33 @ Stumbras 2 1015 25.49% Jonava 0 1152 52.03% 22.49%
5 2016-11-26 15.62 Trakai 3 1338 20.31% @ Zalgiris 1 1456 58.32% 21.36%
6 2016-05-04 15.32 Jonava 5 1130 49.90% @ Kauno Zalgiris 1 1010 27.35% 22.75%
7 2016-08-10 13.78 @ Trakai 3 1323 50.66% Atlantas 0 1268 26.68% 22.66%
8 2016-06-08 13.60 Suduva 4 1260 59.24% @ Utenis Utena 0 1062 19.61% 21.16%
9 2016-03-20 12.37 Trakai 2 1305 39.71% @ Suduva 0 1259 36.91% 23.38%
10 2016-06-22 12.25 @ Utenis Utena 3 1053 32.93% Jonava 1 1128 43.83% 23.25%
11 2016-10-29 11.74 @ Stumbras 3 1049 35.14% Jonava 1 1107 41.52% 23.34%
12 2016-05-18 11.23 Stumbras 1 1028 11.89% @ Suduva 0 1270 70.49% 17.62%
13 2016-05-22 10.97 @ Stumbras 3 1039 38.53% Utenis Utena 1 1073 38.08% 23.38%
14 2016-04-20 10.89 @ Suduva 3 1252 58.01% Jonava 0 1136 20.56% 21.43%
15 2016-10-01 10.57 Atlantas 1 1262 15.10% @ Zalgiris 0 1449 65.48% 19.42%
16 2016-04-22 9.98 Utenis Utena 3 1086 42.98% @ Kauno Zalgiris 1 1017 33.73% 23.29%
17 2016-11-20 9.46 @ Suduva 3 1278 45.29% Atlantas 1 1264 31.55% 23.16%
18 2016-10-22 9.32 @ Suduva 6 1275 68.30% Stumbras 1 1058 13.25% 18.45%
19 2016-09-14 9.02 @ Trakai 2 1341 52.36% Suduva 0 1273 25.20% 22.44%
20 2016-04-17 9.01 @ Trakai 2 1324 52.42% Atlantas 0 1255 25.15% 22.43%
21 2016-11-26 8.69 @ Jonava 3 1088 19.52% Suduva 2 1288 59.35% 21.13%
22 2016-04-06 8.61 @ Atlantas 2 1246 22.71% Zalgiris 1 1410 55.33% 21.96%
23 2016-05-05 8.61 Atlantas 2 1242 53.91% @ Utenis Utena 0 1090 23.89% 22.20%
24 2016-06-15 8.56 @ Zalgiris 3 1398 49.20% Trakai 1 1355 27.97% 22.83%
25 2016-05-04 8.55 @ Suduva 1 1269 26.19% Zalgiris 0 1400 51.22% 22.59%

Most & Least Exciting Games

The season’s games ranked by excitement rating (0–100) — a blend of closeness, upset, team quality, and scoring. An asterisk (*) after the date indicates a playoff game.

# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2016-06-24 64.8 @ Suduva 3 1273 44.33% Atlantas 3 1266 32.45% 23.22%
2 2016-11-18 64.2 @ Zalgiris 2 1459 81.77% Stumbras 2 1063 5.95% 12.27%
3 2016-04-02 62.9 @ Zalgiris 2 1412 71.83% Jonava 2 1154 11.10% 17.07%
4 2016-06-09 61.4 @ Atlantas 2 1260 30.38% Trakai 2 1355 46.55% 23.07%
5 2016-04-10 61.3 @ Kauno Zalgiris 2 1019 17.02% Suduva 2 1250 62.72% 20.26%
6 2016-03-17 61.0 @ Jonava 2 1162 59.87% Kauno Zalgiris 2 1029 19.12% 21.01%
7 2016-06-08 60.7 @ Jonava 2 1128 53.53% Stumbras 2 1050 24.21% 22.26%
8 2016-09-14 60.6 @ Stumbras 2 1042 52.34% Kauno Zalgiris 2 974 25.22% 22.44%
9 2016-11-26 58.0 @ Jonava 3 1088 19.52% Suduva 2 1288 59.35% 21.13%
10 2016-06-09 57.5 @ Kauno Zalgiris 1 988 7.64% Zalgiris 1 1401 78.23% 14.13%
11 2016-07-27 56.9 @ Atlantas 1 1276 74.59% Kauno Zalgiris 1 984 9.54% 15.87%
12 2016-11-06 56.9 @ Trakai 1 1336 73.34% Stumbras 1 1060 10.23% 16.43%
13 2016-03-05 56.5 Kauno Zalgiris 3 1026 23.98% @ Utenis Utena 2 1106 53.80% 22.22%
14 2016-09-21 56.1 @ Kauno Zalgiris 1 975 13.20% Atlantas 1 1264 68.37% 18.43%
15 2016-10-29 55.9 @ Trakai 1 1337 50.43% Suduva 1 1284 26.88% 22.69%
16 2016-08-03 55.6 @ Jonava 1 1111 18.32% Trakai 1 1325 60.94% 20.74%
17 2016-09-08 55.5 @ Utenis Utena 1 1048 17.82% Atlantas 1 1268 61.61% 20.56%
18 2016-11-26 55.3 @ Stumbras 1 1065 20.34% Atlantas 1 1255 58.29% 21.37%
19 2016-06-16 55.1 @ Jonava 1 1127 24.41% Suduva 1 1274 53.29% 22.30%
20 2016-03-06 54.9 @ Jonava 1 1155 29.42% Suduva 1 1257 47.59% 22.99%
21 2016-08-18 54.6 @ Kauno Zalgiris 1 982 33.48% Utenis Utena 1 1053 43.24% 23.28%
22 2016-10-02 54.6 @ Stumbras 1 1037 42.10% Utenis Utena 1 1046 34.58% 23.32%
23 2016-04-06 53.2 @ Atlantas 2 1246 22.71% Zalgiris 1 1410 55.33% 21.96%
24 2016-04-28 52.8 @ Trakai 0 1340 77.65% Kauno Zalgiris 0 1007 7.93% 14.42%
25 2016-09-07 52.5 @ Suduva 0 1271 22.08% Zalgiris 0 1442 56.11% 21.82%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2016-04-16 22.4 @ Zalgiris 3 1402 80.90% Kauno Zalgiris 0 1020 6.35% 12.74%
2 2016-08-25 22.9 @ Trakai 3 1332 78.73% Kauno Zalgiris 0 983 7.39% 13.88%
3 2016-06-21 24.0 Trakai 4 1346 74.33% @ Kauno Zalgiris 0 986 9.68% 15.99%
4 2016-10-16 24.6 Zalgiris 2 1439 81.64% @ Kauno Zalgiris 0 974 6.01% 12.34%
5 2016-06-24 25.0 Zalgiris 5 1407 74.40% @ Stumbras 0 1046 9.64% 15.96%
6 2016-04-27 25.1 @ Zalgiris 2 1397 80.10% Stumbras 0 1028 6.73% 13.17%
7 2016-09-20 25.5 Zalgiris 4 1442 71.25% @ Jonava 0 1119 11.44% 17.31%
8 2016-05-08 26.4 @ Zalgiris 2 1391 75.94% Utenis Utena 0 1081 8.81% 15.24%
9 2016-05-22 26.4 @ Trakai 3 1348 67.94% Jonava 0 1135 13.48% 18.58%
10 2016-10-01 26.5 @ Suduva 2 1269 74.54% Kauno Zalgiris 0 977 9.56% 15.89%
11 2016-09-20 28.3 @ Suduva 2 1264 68.75% Stumbras 0 1042 12.96% 18.29%
12 2016-06-08 28.5 Suduva 4 1260 59.24% @ Utenis Utena 0 1062 19.61% 21.16%
13 2016-03-05 28.7 @ Atlantas 2 1233 67.46% Stumbras 0 1025 13.79% 18.76%
14 2016-06-15 28.7 @ Atlantas 2 1261 67.65% Stumbras 0 1051 13.66% 18.69%
15 2016-07-12 28.9 @ Atlantas 2 1266 66.77% Utenis Utena 0 1065 14.24% 19.00%
16 2016-05-17 29.1 Atlantas 2 1259 65.93% @ Kauno Zalgiris 0 995 14.80% 19.28%
17 2016-03-13 29.2 Trakai 2 1297 65.91% @ Kauno Zalgiris 0 1034 14.80% 19.28%
18 2016-04-20 29.2 @ Suduva 3 1252 58.01% Jonava 0 1136 20.56% 21.43%
19 2016-10-22 29.2 @ Suduva 6 1275 68.30% Stumbras 1 1058 13.25% 18.45%
20 2016-05-19 29.3 Trakai 2 1343 66.02% @ Utenis Utena 0 1078 14.73% 19.25%
21 2016-07-27 29.4 @ Zalgiris 4 1417 75.42% Jonava 1 1115 9.09% 15.49%
22 2016-08-11 29.5 @ Zalgiris 3 1426 84.42% Kauno Zalgiris 1 984 4.79% 10.79%
23 2016-10-22 30.6 Zalgiris 4 1441 71.85% @ Jonava 1 1112 11.09% 17.07%
24 2016-08-24 30.7 @ Zalgiris 3 1433 80.94% Stumbras 1 1050 6.34% 12.72%
25 2016-08-16 31.2 Atlantas 2 1255 59.13% @ Stumbras 0 1057 19.69% 21.18%