2022 A Lyga Season

180 games

Final

Champion

Zalgiris

84 points

Relegated

No relegation

Biggest Overachiever

Kauno Zalgiris

7.24 points above expected

63 points · 55.76 expected points

Biggest Disappointment

Jonava

13.75 points below expected

3 points · 16.75 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	36	26	6	4	84	85	27	+58	80.50	+3.50
2	Kauno Zalgiris	36	18	9	9	63	55	37	+18	55.76	+7.24
3	Panevezys	36	18	8	10	62	50	31	+19	57.94	+4.06
4	Hegelmann	36	16	13	7	61	62	32	+30	61.80	-0.80
5	Riteriai	36	17	8	11	59	53	41	+12	53.92	+5.08
6	Suduva	36	15	10	11	55	48	40	+8	60.11	-5.11
7	FA Siauliai	36	13	11	12	50	39	39	0	43.10	+6.90
8	Banga Gargzdai	36	6	12	18	30	33	54	-21	33.82	-3.82
9	Dziugas	36	5	12	19	27	34	67	-33	34.19	-7.19
10	Jonava	36	0	3	33	3	12	103	-91	16.75	-13.75

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	Kauno Zalgiris	63	55.76	+7.24
2	FA Siauliai	50	43.10	+6.90
3	Riteriai	59	53.92	+5.08
4	Panevezys	62	57.94	+4.06
5	Zalgiris	84	80.50	+3.50

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Jonava	3	16.75	-13.75
2	Dziugas	27	34.19	-7.19
3	Suduva	55	60.11	-5.11
4	Banga Gargzdai	30	33.82	-3.82
5	Hegelmann	61	61.80	-0.80

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	Panevezys	4	Mar 11 – Apr 2	1 in 55
2	Zalgiris	8	Jun 19 – Aug 28	1 in 48
3	Kauno Zalgiris	3	May 22 – Jun 22	1 in 28
4	FA Siauliai	2	Jun 25 – Jul 3	1 in 13
5	Riteriai	3	Aug 26 – Sep 7	1 in 9

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Jonava	12	Mar 4 – May 3	1 in 135
2	Zalgiris	2	Nov 9 – Nov 13	1 in 108
3	Kauno Zalgiris	3	Apr 15 – Apr 26	1 in 36
4	Suduva	3	Oct 29 – Nov 13	1 in 14
5	Dziugas	4	May 1 – May 21	1 in 9

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Panevezys	10	Mar 6 – Apr 27	1 in 56
2	Hegelmann	11	Mar 20 – May 21	1 in 37
3	Suduva	9	Apr 17 – Jun 21	1 in 23
4	Kauno Zalgiris	7	Aug 2 – Sep 7	1 in 13
5	Zalgiris	17	Jun 19 – Nov 6	1 in 11

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Jonava	36	Mar 4 – Nov 23	1 in 36
2	Suduva	6	Mar 16 – Apr 17	1 in 27
3	Dziugas	11	Jul 3 – Sep 7	1 in 25
4	Panevezys	4	Sep 2 – Sep 17	1 in 21
5	Hegelmann	5	Aug 20 – Sep 11	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	Elo Δ (5)	Points (5)	Expected (5)	Actual − Exp
Zalgiris	1597	84	-62	6	11.4	-5.4
Kauno Zalgiris	1443	63	+14	10	8.2	+1.8
Panevezys	1406	62	+29	10	6.8	+3.2
Hegelmann	1439	61	-9	5	7.0	-2.0
Riteriai	1387	59	+38	11	8.0	+3.0
Suduva	1357	55	-47	4	8.2	-4.2
FA Siauliai	1334	50	+61	9	4.5	+4.5
Banga Gargzdai	1186	30	-13	4	5.0	-1.0
Dziugas	1169	27	-1	5	3.4	+1.6
Jonava	920	3	-18	0	1.8	-1.8

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	BG	DZI	FS	HEG	JON	KZ	PAN	RIT	SUD	ZAL
Banga Gargzdai	—	1-3-0 5.28	0-3-1 4.12	1-1-2 2.59	3-1-0 8.07	1-1-2 2.92	0-1-3 2.84	0-1-3 3.35	0-1-3 2.68	0-0-4 1.68
Dziugas	0-3-1 5.64	—	1-2-1 4.17	0-1-3 2.64	3-1-0 8.27	0-0-4 3.17	0-1-3 2.97	0-0-4 3.62	1-3-0 2.61	0-1-3 1.56
FA Siauliai	1-3-0 6.82	1-2-1 6.79	—	0-2-2 3.43	4-0-0 8.78	0-1-3 4.13	3-0-1 3.74	2-1-1 4.12	1-1-2 3.54	1-1-2 2.15
Hegelmann	2-1-1 8.50	3-1-0 8.45	2-2-0 7.56	—	4-0-0 9.79	2-2-0 6.27	0-2-2 6.04	1-3-0 6.24	2-1-1 5.55	0-1-3 3.34
Jonava	0-1-3 2.98	0-1-3 2.79	0-0-4 2.35	0-0-4 1.54	—	0-0-4 1.67	0-1-3 1.39	0-0-4 1.70	0-0-4 1.34	0-0-4 0.92
Kauno Zalgiris	2-1-1 8.12	4-0-0 7.86	3-1-0 6.83	0-2-2 4.66	4-0-0 9.61	—	1-1-2 4.99	1-1-2 5.52	1-2-1 4.61	2-1-1 2.86
Panevezys	3-1-0 8.20	3-1-0 8.08	1-0-3 7.23	2-2-0 4.89	3-1-0 9.96	2-1-1 5.95	—	1-1-2 6.05	2-0-2 5.07	1-1-2 3.00
Riteriai	3-1-0 7.65	4-0-0 7.37	1-1-2 6.83	0-3-1 4.69	4-0-0 9.56	2-1-1 5.40	2-1-1 4.88	—	1-1-2 4.39	0-0-4 2.80
Suduva	3-1-0 8.39	0-3-1 8.46	2-1-1 7.44	1-1-2 5.37	4-0-0 10.03	1-2-1 6.31	2-0-2 5.85	2-1-1 6.55	—	0-1-3 3.05
Zalgiris	4-0-0 9.59	3-1-0 9.76	2-1-1 9.01	3-1-0 7.66	4-0-0 10.61	1-1-2 8.19	2-1-1 8.05	4-0-0 8.26	3-1-0 7.99	—

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	0.91	+11.3
Allowed	0.88	-9.5
Differential	0.97	+5.6

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.

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	8.61%	6.39%	3.61%	1.67%	3.06%	31.67%
1	8.61%	11.67%	8.06%	2.22%	1.11%	0.56%	32.22%
2	6.39%	8.06%	5.00%	1.67%	—	—	21.11%
3	3.61%	2.22%	1.67%	0.56%	—	0.28%	8.33%
4	1.67%	1.11%	—	—	—	—	2.78%
5+	3.06%	0.56%	—	0.28%	—	—	3.89%
Total	31.67%	32.22%	21.11%	8.33%	2.78%	3.89%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.31	1.31	+0.00
SD	1.31	1.31	2.09
CV	1.00	1.00	—
Max	6	6	+6
Min	0	0	-6

Games Played: 180

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	11.11%	13.89%	5.56%	2.78%	2.78%	44.44%
1	5.56%	19.44%	11.11%	—	—	—	36.11%
2	2.78%	—	2.78%	2.78%	—	—	8.33%
3	—	5.56%	—	2.78%	—	—	8.33%
4	—	—	—	—	—	—	—
5+	2.78%	—	—	—	—	—	2.78%
Total	19.44%	36.11%	27.78%	11.11%	2.78%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.92	1.50	-0.58
SD	1.16	1.18	1.81
CV	1.26	0.79	—
Max	5	5	+5
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	13.89%	2.78%	5.56%	—	5.56%	36.11%
1	8.33%	13.89%	11.11%	—	2.78%	2.78%	38.89%
2	2.78%	2.78%	8.33%	5.56%	—	—	19.44%
3	—	—	—	2.78%	—	2.78%	5.56%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	19.44%	30.56%	22.22%	13.89%	2.78%	11.11%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.94	1.86	-0.92
SD	0.89	1.61	1.70
CV	0.95	0.86	—
Max	3	6	+2
Min	0	0	-6

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	19.44%	13.89%	2.78%	5.56%	—	2.78%	44.44%
1	5.56%	8.33%	5.56%	2.78%	—	—	22.22%
2	5.56%	5.56%	2.78%	—	—	—	13.89%
3	8.33%	2.78%	8.33%	—	—	—	19.44%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	38.89%	30.56%	19.44%	8.33%	—	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.08	1.08	+0.00
SD	1.18	1.18	1.72
CV	1.09	1.09	—
Max	3	5	+3
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	5.56%	—	—	—	—	13.89%
1	11.11%	19.44%	8.33%	2.78%	2.78%	—	44.44%
2	8.33%	5.56%	8.33%	—	—	—	22.22%
3	2.78%	2.78%	—	—	—	—	5.56%
4	2.78%	2.78%	—	—	—	—	5.56%
5+	8.33%	—	—	—	—	—	8.33%
Total	41.67%	36.11%	16.67%	2.78%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.72	0.89	+0.83
SD	1.49	0.98	1.96
CV	0.86	1.10	—
Max	6	4	+6
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	13.89%	16.67%	8.33%	13.89%	16.67%	69.44%
1	—	5.56%	11.11%	8.33%	2.78%	—	27.78%
2	—	—	2.78%	—	—	—	2.78%
3	—	—	—	—	—	—	—
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	—	19.44%	30.56%	16.67%	16.67%	16.67%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.33	2.86	-2.53
SD	0.53	1.50	1.72
CV	1.60	0.52	—
Max	2	6	+0
Min	0	1	-6

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	5.56%	5.56%	2.78%	—	—	19.44%
1	8.33%	13.89%	5.56%	5.56%	—	—	33.33%
2	8.33%	16.67%	5.56%	—	—	—	30.56%
3	8.33%	—	2.78%	—	—	—	11.11%
4	2.78%	—	—	—	—	—	2.78%
5+	—	2.78%	—	—	—	—	2.78%
Total	33.33%	38.89%	19.44%	8.33%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.53	1.03	+0.50
SD	1.18	0.94	1.70
CV	0.77	0.92	—
Max	5	3	+4
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	8.33%	2.78%	—	—	—	22.22%
1	13.89%	11.11%	13.89%	—	2.78%	—	41.67%
2	5.56%	13.89%	—	—	—	—	19.44%
3	5.56%	2.78%	2.78%	—	—	—	11.11%
4	2.78%	—	—	—	—	—	2.78%
5+	2.78%	—	—	—	—	—	2.78%
Total	41.67%	36.11%	19.44%	—	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.39	0.86	+0.53
SD	1.20	0.93	1.63
CV	0.87	1.08	—
Max	5	4	+5
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	5.56%	5.56%	5.56%	—	—	22.22%
1	16.67%	11.11%	2.78%	2.78%	—	2.78%	36.11%
2	5.56%	8.33%	5.56%	5.56%	—	—	25.00%
3	5.56%	2.78%	—	—	—	—	8.33%
4	2.78%	2.78%	—	—	—	—	5.56%
5+	2.78%	—	—	—	—	—	2.78%
Total	38.89%	30.56%	13.89%	13.89%	—	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.47	1.14	+0.33
SD	1.25	1.25	1.97
CV	0.85	1.09	—
Max	5	5	+5
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	5.56%	13.89%	—	—	2.78%	30.56%
1	5.56%	11.11%	8.33%	—	—	—	25.00%
2	11.11%	11.11%	8.33%	—	—	—	30.56%
3	5.56%	—	2.78%	—	—	—	8.33%
4	2.78%	2.78%	—	—	—	—	5.56%
5+	—	—	—	—	—	—	—
Total	33.33%	30.56%	33.33%	—	—	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.33	1.11	+0.22
SD	1.17	1.06	1.81
CV	0.88	0.96	—
Max	4	5	+4
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	2.78%	—	2.78%	—	—	13.89%
1	11.11%	2.78%	2.78%	—	—	—	16.67%
2	13.89%	16.67%	5.56%	2.78%	—	—	38.89%
3	—	5.56%	—	—	—	—	5.56%
4	2.78%	2.78%	—	—	—	—	5.56%
5+	13.89%	2.78%	—	2.78%	—	—	19.44%
Total	50.00%	33.33%	8.33%	8.33%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.36	0.75	+1.61
SD	1.76	0.94	2.06
CV	0.75	1.25	—
Max	6	3	+6
Min	0	0	-3

Games Played: 36

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	1597	84	80.50	+3.50	67.0%	64	67	76	80	85	91	94
Kauno Zalgiris	1443	63	55.76	+7.24	83.0%	37	42	50	55	61	71	73
Hegelmann	1439	61	61.80	-0.80	50.0%	43	50	56	61	66	74	81
Panevezys	1406	62	57.94	+4.06	75.0%	39	47	52	58	62	69	76
Riteriai	1387	59	53.92	+5.08	85.0%	34	41	51	54	58	65	69
Suduva	1357	55	60.11	-5.11	31.0%	46	48	55	61	64	72	79
FA Siauliai	1334	50	43.10	+6.90	85.0%	23	29	38	43	48	55	74
Banga Gargzdai	1186	30	33.82	-3.82	30.0%	23	25	30	34	38	43	47
Dziugas	1169	27	34.19	-7.19	17.0%	21	22	31	35	38	45	52
Jonava	920	3	16.75	-13.75	0.0%	5	9	14	17	19	25	27

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

+8.89%

Clear Edge

41.67%25.56%32.78%

Elo Value

Home Edge: 30.96 Elo pts.

172 Elo

0.006 goals per Elo point

0500

Scoring Tilt

Expected

+0.19 goals

Neutral

-2+0.18+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

1.2

One-Team Race

123410

Champion Preseason Odds

91%

Zalgiris, 1st of 10

LongshotFavorite

Title Margin

Expected

0.58/gm

Runaway

00.380.8/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 5.48 * Some Luck: 5.48 to 8.22 * Lucky: 8.22 to 10.97 * Wild Swing: 10.97 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 0.7 * Close: 0.7 to 1.05 * Off: 1.05 to 1.39 * Way Off: 1.39 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

6.60 points

Some Luck

06.8517

Average Finish Error

Expected

1.20

Off

00.872

Biggest Overachiever

Expected 95.00%

85.00%

Riteriai

50100

Biggest Underachiever

Expected 5.00%

0.00%

Jonava

050

Season Outliers

Expected

1 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

0.24

Balanced

00.240.5

Noll-Scully

Elo SD: 188.60

2.94

Wide Separation

12.52.853.5

Interquartile Edge

77%

Even

50%77.5%86.5%100%

Best vs. Worst

Baseline 97%

98%

Strong Edge

50%100%

Close Games

Expected

62%

Very Frequent

0%53%100%

Blowouts

Expected

20%

Occasional

0%23%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

00.552

Matchup Imbalance

0.49

Slight Separation

00.5

Strangeness

Expected

1.35

Wilder Than Modeled

01.002

Repeatability

0.85

Near-Lock

00.650.811

Upset Rate

Expected

16%

As Expected

0%19%50%

Clear Favorite Upset Rate

Expected

13%

As Expected

0%16%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 0.25 * Well Above Noise: 0.25 and up.

Probability calibration

0.13

Well Calibrated

0.010.050.10.51

Calibration slope

Ideal

1.26

Underconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.053

Well Within Noise

00.1230.3

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).

Team	1	2	3	4	5	6	7	8	9	10
Zalgiris	91.00%	7.00%	—	2.00%	—	—	—	—	—	—
Kauno Zalgiris	—	13.00%	17.00%	12.00%	26.00%	25.00%	6.00%	1.00%	—	—
Panevezys	1.00%	16.00%	25.00%	22.00%	18.00%	11.00%	7.00%	—	—	—
Hegelmann	4.00%	35.00%	23.00%	20.00%	12.00%	3.00%	3.00%	—	—	—
Riteriai	—	8.00%	12.00%	20.00%	21.00%	28.00%	9.00%	2.00%	—	—
Suduva	4.00%	20.00%	22.00%	20.00%	19.00%	13.00%	2.00%	—	—	—
FA Siauliai	—	1.00%	1.00%	4.00%	4.00%	15.00%	48.00%	15.00%	12.00%	—
Banga Gargzdai	—	—	—	—	—	2.00%	10.00%	44.00%	44.00%	—
Dziugas	—	—	—	—	—	3.00%	15.00%	38.00%	42.00%	2.00%
Jonava	—	—	—	—	—	—	—	—	2.00%	98.00%

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
Banga Gargzdai	56.00%	44.00%	—
FA Siauliai	88.00%	12.00%	—
Hegelmann	100%	—	—
Kauno Zalgiris	100%	—	—
Panevezys	100%	—	—
Riteriai	100%	—	—
Suduva	100%	—	—
Zalgiris	100%	—	—
Dziugas	56.00%	42.00%	2.00%
Jonava	—	2.00%	98.00%

Filter by Team:

Overall Game Log

Summary of every completed game this season. Sort any column by clicking its header.

Date	Opponent	Score	Excitement	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Proj. Margin	Elo Δ	Points
2022-03-04	Jonava	W 6-0	27.2	1507	1133	77.40%	16.39%	6.21%	+2.35	+9.7	3
2022-03-04	@ Zalgiris	L 0-6	27.2	1133	1507	6.21%	16.39%	77.40%	-2.35	-9.7	0
2022-03-05	Kauno Zalgiris	W 2-1	49.6	1368	1378	39.44%	27.06%	33.50%	+0.12	+9.3	3
2022-03-05	@ Hegelmann	L 1-2	49.6	1378	1368	33.50%	27.06%	39.44%	-0.12	-9.3	0
2022-03-06	Panevezys	D 0-0	48.9	1333	1343	39.48%	27.06%	33.46%	+0.12	-0.4	1
2022-03-06	@ Riteriai	D 0-0	48.9	1343	1333	33.46%	27.06%	39.48%	-0.12	+0.4	1
2022-03-06	Suduva	D 0-0	49.4	1272	1420	22.22%	25.91%	51.87%	-0.68	+2.0	1
2022-03-06	@ FA Siauliai	D 0-0	49.4	1420	1272	51.87%	25.91%	22.22%	+0.68	-2.0	1
2022-03-11	Hegelmann	L 1-4	35.8	1124	1377	13.90%	23.08%	63.02%	-1.29	-10.5	0
2022-03-11	@ Jonava	W 4-1	35.8	1377	1124	63.02%	23.08%	13.90%	+1.29	+10.5	6
2022-03-11	Kauno Zalgiris	W 1-0	43.8	1343	1368	37.30%	27.10%	35.60%	+0.03	+10.3	4
2022-03-11	@ Panevezys	L 0-1	43.8	1368	1343	35.60%	27.10%	37.30%	-0.03	-10.3	0
2022-03-12	Banga Gargzdai	W 3-0	31.3	1418	1221	63.52%	22.91%	13.57%	+1.32	+12.2	4
2022-03-12	@ Suduva	L 0-3	31.3	1221	1418	13.57%	22.91%	63.52%	-1.32	-12.2	0
2022-03-12	Riteriai	L 0-1	41.2	1263	1333	31.05%	26.96%	41.98%	-0.23	-9.3	0
2022-03-12	@ Dziugas	W 1-0	41.2	1333	1263	41.98%	26.96%	31.05%	+0.23	+9.3	4
2022-03-13	FA Siauliai	D 0-0	52.5	1517	1274	67.61%	21.31%	11.08%	+1.59	-4.0	4
2022-03-13	@ Zalgiris	D 0-0	52.5	1274	1517	11.08%	21.31%	67.61%	-1.59	+4.0	2
2022-03-15	Dziugas	W 2-1	43.6	1358	1253	54.08%	25.50%	20.42%	+0.79	+6.2	3
2022-03-15	@ Kauno Zalgiris	L 1-2	43.6	1253	1358	20.42%	25.50%	54.08%	-0.79	-6.2	0
2022-03-15	Panevezys	L 0-1	47.0	1388	1354	45.40%	26.73%	27.87%	+0.38	-12.4	6
2022-03-15	@ Hegelmann	W 1-0	47.0	1354	1388	27.87%	26.73%	45.40%	-0.38	+12.4	7
2022-03-16	Jonava	W 3-0	31.1	1278	1113	60.47%	23.91%	15.62%	+1.14	+14.0	5
2022-03-16	@ FA Siauliai	L 0-3	31.1	1113	1278	15.62%	23.91%	60.47%	-1.14	-14.0	0
2022-03-16	Suduva	W 2-0	44.9	1342	1430	28.84%	26.81%	44.35%	-0.33	+22.9	7
2022-03-16	@ Riteriai	L 0-2	44.9	1430	1342	44.35%	26.81%	28.84%	+0.33	-22.9	4
2022-03-16	Zalgiris	L 0-2	32.5	1209	1513	11.11%	21.34%	67.55%	-1.59	-6.8	0
2022-03-16	@ Banga Gargzdai	W 2-0	32.5	1513	1209	67.55%	21.34%	11.11%	+1.59	+6.8	7
2022-03-19	Banga Gargzdai	L 1-3	42.8	1099	1202	27.01%	26.64%	46.35%	-0.42	-13.6	0
2022-03-19	@ Jonava	W 3-1	42.8	1202	1099	46.35%	26.64%	27.01%	+0.42	+13.6	3
2022-03-19	Kauno Zalgiris	D 1-1	55.3	1407	1364	46.57%	26.62%	26.81%	+0.43	-1.1	5
2022-03-19	@ Suduva	D 1-1	55.3	1364	1407	26.81%	26.62%	46.57%	-0.43	+1.1	4
2022-03-20	FA Siauliai	W 1-0	39.0	1375	1292	51.54%	25.96%	22.50%	+0.66	+7.2	9
2022-03-20	@ Hegelmann	L 0-1	39.0	1292	1375	22.50%	25.96%	51.54%	-0.66	-7.2	5
2022-03-20	Panevezys	L 0-1	39.4	1247	1366	25.22%	26.42%	48.37%	-0.51	-7.9	0
2022-03-20	@ Dziugas	W 1-0	39.4	1366	1247	48.37%	26.42%	25.22%	+0.51	+7.9	10
2022-03-20	Riteriai	W 2-0	38.6	1520	1365	59.44%	24.21%	16.35%	+1.08	+10.1	10
2022-03-20	@ Zalgiris	L 0-2	38.6	1365	1520	16.35%	24.21%	59.44%	-1.08	-10.1	7
2022-03-26	Dziugas	D 3-3	62.3	1216	1239	37.51%	27.10%	35.39%	+0.04	-0.1	4
2022-03-26	@ Banga Gargzdai	D 3-3	62.3	1239	1216	35.39%	27.10%	37.51%	-0.04	+0.1	1
2022-04-01	Jonava	W 5-0	28.2	1355	1086	69.80%	20.34%	9.86%	+1.75	+13.9	10
2022-04-01	@ Riteriai	L 0-5	28.2	1086	1355	9.86%	20.34%	69.80%	-1.75	-13.9	0
2022-04-02	Hegelmann	D 1-1	53.6	1239	1382	22.69%	26.00%	51.31%	-0.65	+1.7	2
2022-04-02	@ Dziugas	D 1-1	53.6	1382	1239	51.31%	26.00%	22.69%	+0.65	-1.7	10
2022-04-02	Suduva	W 2-1	51.1	1374	1406	36.29%	27.10%	36.61%	-0.01	+9.9	13
2022-04-02	@ Panevezys	L 1-2	51.1	1406	1374	36.61%	27.10%	36.29%	+0.01	-9.9	5
2022-04-02	Zalgiris	D 2-2	64.9	1365	1530	20.61%	25.55%	53.84%	-0.78	+1.5	5
2022-04-02	@ Kauno Zalgiris	D 2-2	64.9	1530	1365	53.84%	25.55%	20.61%	+0.78	-1.5	11
2022-04-03	FA Siauliai	D 0-0	47.8	1216	1285	31.18%	26.97%	41.85%	-0.22	+0.7	5
2022-04-03	@ Banga Gargzdai	D 0-0	47.8	1285	1216	41.85%	26.97%	31.18%	+0.22	-0.7	6
2022-04-05	Dziugas	D 1-1	54.2	1396	1241	59.47%	24.20%	16.33%	+1.08	-2.6	6
2022-04-05	@ Suduva	D 1-1	54.2	1241	1396	16.33%	24.20%	59.47%	-1.08	+2.6	3
2022-04-05	Kauno Zalgiris	L 0-2	30.8	1072	1367	11.55%	21.65%	66.79%	-1.54	-7.1	0
2022-04-05	@ Jonava	W 2-0	30.8	1367	1072	66.79%	21.65%	11.55%	+1.54	+7.1	8
2022-04-05	Panevezys	D 0-0	54.9	1529	1384	58.41%	24.49%	17.09%	+1.02	-2.8	12
2022-04-05	@ Zalgiris	D 0-0	54.9	1384	1529	17.09%	24.49%	58.41%	-1.02	+2.8	14
2022-04-06	Banga Gargzdai	W 2-0	33.3	1381	1216	60.39%	23.93%	15.68%	+1.13	+9.7	13
2022-04-06	@ Hegelmann	L 0-2	33.3	1216	1381	15.68%	23.93%	60.39%	-1.13	-9.7	5
2022-04-06	Riteriai	W 1-0	45.5	1284	1369	29.23%	26.84%	43.93%	-0.31	+12.1	9
2022-04-06	@ FA Siauliai	L 0-1	45.5	1369	1284	43.93%	26.84%	29.23%	+0.31	-12.1	10
2022-04-09	Jonava	W 4-0	26.8	1387	1065	73.82%	18.36%	7.83%	+2.05	+8.7	17
2022-04-09	@ Panevezys	L 0-4	26.8	1065	1387	7.83%	18.36%	73.82%	-2.05	-8.7	0
2022-04-10	Banga Gargzdai	W 1-0	35.9	1357	1207	58.98%	24.34%	16.68%	+1.05	+5.5	13
2022-04-10	@ Riteriai	L 0-1	35.9	1207	1357	16.68%	24.34%	58.98%	-1.05	-5.5	5
2022-04-10	FA Siauliai	D 0-0	49.1	1374	1296	50.90%	26.07%	23.03%	+0.63	-1.8	9
2022-04-10	@ Kauno Zalgiris	D 0-0	49.1	1296	1374	23.03%	26.07%	50.90%	-0.63	+1.8	10
2022-04-10	Hegelmann	L 0-1	46.7	1393	1390	41.27%	27.00%	31.73%	+0.20	-11.5	6
2022-04-10	@ Suduva	W 1-0	46.7	1390	1393	31.73%	27.00%	41.27%	-0.20	+11.5	16
2022-04-13	Zalgiris	L 3-5	45.1	1244	1526	12.25%	22.12%	65.63%	-1.46	-5.5	3
2022-04-13	@ Dziugas	W 5-3	45.1	1526	1244	65.63%	22.12%	12.25%	+1.46	+5.5	15
2022-04-15	Kauno Zalgiris	W 3-1	51.3	1201	1372	20.03%	25.41%	54.56%	-0.81	+23.6	8
2022-04-15	@ Banga Gargzdai	L 1-3	51.3	1372	1201	54.56%	25.41%	20.03%	+0.81	-23.6	9
2022-04-16	Dziugas	L 0-1	36.2	1056	1238	19.05%	25.13%	55.82%	-0.88	-6.2	0
2022-04-16	@ Jonava	W 1-0	36.2	1238	1056	55.82%	25.13%	19.05%	+0.88	+6.2	6
2022-04-16	Panevezys	L 0-3	37.2	1298	1395	27.72%	26.71%	45.57%	-0.38	-23.3	10
2022-04-16	@ FA Siauliai	W 3-0	37.2	1395	1298	45.57%	26.71%	27.72%	+0.38	+23.3	20
2022-04-16	Riteriai	D 1-1	55.2	1402	1362	46.12%	26.66%	27.22%	+0.41	-1.1	17
2022-04-16	@ Hegelmann	D 1-1	55.2	1362	1402	27.22%	26.66%	46.12%	-0.41	+1.1	14
2022-04-17	Suduva	D 0-0	54.9	1531	1382	58.88%	24.37%	16.75%	+1.05	-2.9	16
2022-04-17	@ Zalgiris	D 0-0	54.9	1382	1531	16.75%	24.37%	58.88%	-1.05	+2.9	7
2022-04-22	Riteriai	L 0-1	44.7	1349	1364	38.74%	27.08%	34.18%	+0.09	-11.0	9
2022-04-22	@ Kauno Zalgiris	W 1-0	44.7	1364	1349	34.18%	27.08%	38.74%	-0.09	+11.0	17
2022-04-23	Banga Gargzdai	W 2-0	32.8	1419	1225	63.24%	23.01%	13.75%	+1.31	+8.5	23
2022-04-23	@ Panevezys	L 0-2	32.8	1225	1419	13.75%	23.01%	63.24%	-1.31	-8.5	8
2022-04-23	FA Siauliai	D 0-0	47.8	1244	1275	36.50%	27.10%	36.40%	+0.00	-0.0	7
2022-04-23	@ Dziugas	D 0-0	47.8	1275	1244	36.40%	27.10%	36.50%	+0.00	+0.0	11
2022-04-23	Zalgiris	D 2-2	65.8	1401	1528	24.26%	26.27%	49.47%	-0.56	+1.1	18
2022-04-23	@ Hegelmann	D 2-2	65.8	1528	1401	49.47%	26.27%	24.26%	+0.56	-1.1	17
2022-04-24	Jonava	W 2-0	28.4	1385	1050	74.75%	17.86%	7.39%	+2.13	+4.3	10
2022-04-24	@ Suduva	L 0-2	28.4	1050	1385	7.39%	17.86%	74.75%	-2.13	-4.3	0
2022-04-26	Banga Gargzdai	D 0-0	47.7	1244	1216	44.63%	26.79%	28.58%	+0.34	-1.0	8
2022-04-26	@ Dziugas	D 0-0	47.7	1216	1244	28.58%	26.79%	44.63%	-0.34	+1.0	9
2022-04-26	Hegelmann	L 1-3	46.7	1338	1402	31.86%	27.00%	41.14%	-0.19	-15.5	9
2022-04-26	@ Kauno Zalgiris	W 3-1	46.7	1402	1338	41.14%	27.00%	31.86%	+0.19	+15.5	21
2022-04-27	FA Siauliai	W 2-0	35.5	1389	1275	55.13%	25.29%	19.58%	+0.84	+11.9	13
2022-04-27	@ Suduva	L 0-2	35.5	1275	1389	19.58%	25.29%	55.13%	-0.84	-11.9	11
2022-04-27	Riteriai	W 3-0	38.4	1427	1374	47.83%	26.48%	25.69%	+0.49	+21.9	26
2022-04-27	@ Panevezys	L 0-3	38.4	1374	1427	25.69%	26.48%	47.83%	-0.49	-21.9	17
2022-04-27	Zalgiris	L 0-5	25.5	1045	1527	5.05%	14.69%	80.27%	-2.62	-6.4	0
2022-04-27	@ Jonava	W 5-0	25.5	1527	1045	80.27%	14.69%	5.05%	+2.62	+6.4	20
2022-04-30	Jonava	W 4-0	25.7	1417	1039	77.67%	16.23%	6.10%	+2.38	+6.5	24
2022-04-30	@ Hegelmann	L 0-4	25.7	1039	1417	6.10%	16.23%	77.67%	-2.38	-6.5	0
2022-04-30	Panevezys	W 2-1	54.5	1322	1449	24.35%	26.29%	49.36%	-0.56	+12.5	12
2022-04-30	@ Kauno Zalgiris	L 1-2	54.5	1449	1322	49.36%	26.29%	24.35%	+0.56	-12.5	26
2022-04-30	Zalgiris	L 0-1	37.1	1263	1534	12.88%	22.51%	64.61%	-1.39	-4.2	11
2022-04-30	@ FA Siauliai	W 1-0	37.1	1534	1263	64.61%	22.51%	12.88%	+1.39	+4.2	23
2022-05-01	Dziugas	W 3-0	33.6	1353	1243	54.58%	25.40%	20.02%	+0.81	+17.7	20
2022-05-01	@ Riteriai	L 0-3	33.6	1243	1353	20.02%	25.40%	54.58%	-0.81	-17.7	8
2022-05-01	Suduva	L 0-1	37.2	1217	1401	18.93%	25.10%	55.97%	-0.89	-6.1	9
2022-05-01	@ Banga Gargzdai	W 1-0	37.2	1401	1217	55.97%	25.10%	18.93%	+0.89	+6.1	16
2022-05-03	FA Siauliai	L 0-3	31.0	1033	1259	15.66%	23.93%	60.41%	-1.14	-14.1	0
2022-05-03	@ Jonava	W 3-0	31.0	1259	1033	60.41%	23.93%	15.66%	+1.14	+14.1	14
2022-05-03	Hegelmann	D 1-1	57.4	1436	1424	42.58%	26.93%	30.49%	+0.25	-0.7	27
2022-05-03	@ Panevezys	D 1-1	57.4	1424	1436	30.49%	26.93%	42.58%	-0.25	+0.7	25
2022-05-04	Banga Gargzdai	W 2-1	39.2	1538	1211	74.15%	18.18%	7.67%	+2.08	+2.2	26
2022-05-04	@ Zalgiris	L 1-2	39.2	1211	1538	7.67%	18.18%	74.15%	-2.08	-2.2	9
2022-05-04	Kauno Zalgiris	L 1-2	45.4	1226	1335	26.33%	26.56%	47.12%	-0.45	-7.7	8
2022-05-04	@ Dziugas	W 2-1	45.4	1335	1226	47.12%	26.56%	26.33%	+0.45	+7.7	15
2022-05-04	Riteriai	D 1-1	55.4	1407	1370	45.81%	26.69%	27.50%	+0.40	-1.0	17
2022-05-04	@ Suduva	D 1-1	55.4	1370	1407	27.50%	26.69%	45.81%	-0.40	+1.0	21
2022-05-14	Jonava	D 1-1	53.4	1209	1019	62.94%	23.11%	13.95%	+1.29	-3.0	10
2022-05-14	@ Banga Gargzdai	D 1-1	53.4	1019	1209	13.95%	23.11%	62.94%	-1.29	+3.1	1
2022-05-14	Suduva	L 0-3	39.4	1342	1406	31.90%	27.00%	41.09%	-0.19	-26.0	15
2022-05-14	@ Kauno Zalgiris	W 3-0	39.4	1406	1342	41.09%	27.00%	31.90%	+0.19	+26.0	20
2022-05-14	Zalgiris	L 0-1	43.4	1371	1540	20.22%	25.45%	54.32%	-0.80	-6.5	21
2022-05-14	@ Riteriai	W 1-0	43.4	1540	1371	54.32%	25.45%	20.22%	+0.80	+6.5	29
2022-05-15	Dziugas	W 1-0	34.7	1436	1218	65.43%	22.20%	12.37%	+1.45	+4.0	30
2022-05-15	@ Panevezys	L 0-1	34.7	1218	1436	12.37%	22.20%	65.43%	-1.45	-4.0	8
2022-05-15	Hegelmann	D 0-0	49.5	1273	1424	21.84%	25.83%	52.33%	-0.70	+2.0	15
2022-05-15	@ FA Siauliai	D 0-0	49.5	1424	1273	52.33%	25.83%	21.84%	+0.70	-2.0	26
2022-05-21	Dziugas	W 2-0	32.4	1422	1214	64.59%	22.52%	12.89%	+1.39	+7.9	29
2022-05-21	@ Hegelmann	L 0-2	32.4	1214	1422	12.89%	22.52%	64.59%	-1.39	-8.0	8
2022-05-21	Panevezys	W 2-1	52.4	1432	1440	39.76%	27.05%	33.19%	+0.14	+9.2	23
2022-05-21	@ Suduva	L 1-2	52.4	1440	1432	33.19%	27.05%	39.76%	-0.14	-9.2	30
2022-05-22	Banga Gargzdai	D 1-1	52.8	1275	1206	49.86%	26.22%	23.92%	+0.58	-1.5	16
2022-05-22	@ FA Siauliai	D 1-1	52.8	1206	1275	23.92%	26.22%	49.86%	-0.58	+1.5	11
2022-05-22	Kauno Zalgiris	L 1-2	60.6	1547	1316	66.52%	21.77%	11.71%	+1.52	-16.1	29
2022-05-22	@ Zalgiris	W 2-1	60.6	1316	1547	11.71%	21.77%	66.52%	-1.52	+16.1	18
2022-05-29	Riteriai	L 0-1	31.9	1022	1365	9.36%	19.90%	70.74%	-1.82	-3.0	1
2022-05-29	@ Jonava	W 1-0	31.9	1365	1022	70.74%	19.90%	9.36%	+1.82	+3.0	24
2022-06-17	Hegelmann	W 1-0	49.4	1208	1430	15.90%	24.03%	60.07%	-1.12	+15.7	14
2022-06-17	@ Banga Gargzdai	L 0-1	49.4	1430	1208	60.07%	24.03%	15.90%	+1.12	-15.7	29
2022-06-18	FA Siauliai	D 1-1	53.8	1368	1273	52.88%	25.73%	21.39%	+0.73	-1.9	25
2022-06-18	@ Riteriai	D 1-1	53.8	1273	1368	21.39%	25.73%	52.88%	-0.73	+1.9	17
2022-06-18	Suduva	D 2-2	60.5	1206	1441	15.05%	23.65%	61.30%	-1.19	+2.1	9
2022-06-18	@ Dziugas	D 2-2	60.5	1441	1206	61.30%	23.65%	15.05%	+1.19	-2.1	24
2022-06-19	Jonava	W 4-0	26.8	1333	1019	73.22%	18.67%	8.11%	+2.01	+9.0	21
2022-06-19	@ Kauno Zalgiris	L 0-4	26.8	1019	1333	8.11%	18.67%	73.22%	-2.01	-9.0	1
2022-06-19	Zalgiris	L 0-2	45.3	1431	1530	27.38%	26.68%	45.94%	-0.40	-15.9	30
2022-06-19	@ Panevezys	W 2-0	45.3	1530	1431	45.94%	26.68%	27.38%	+0.40	+15.9	32
2022-06-21	Riteriai	L 0-4	34.1	1223	1366	22.71%	26.01%	51.28%	-0.65	-25.8	14
2022-06-21	@ Banga Gargzdai	W 4-0	34.1	1366	1223	51.28%	26.01%	22.71%	+0.65	+25.8	28
2022-06-21	Suduva	D 2-2	63.2	1415	1439	37.36%	27.10%	35.54%	+0.04	-0.1	30
2022-06-21	@ Hegelmann	D 2-2	63.2	1439	1415	35.54%	27.10%	37.36%	-0.04	+0.1	25
2022-06-22	Dziugas	W 2-1	39.1	1546	1208	74.97%	17.74%	7.29%	+2.15	+2.1	35
2022-06-22	@ Zalgiris	L 1-2	39.1	1208	1546	7.29%	17.74%	74.97%	-2.15	-2.1	9
2022-06-22	Kauno Zalgiris	L 0-1	41.5	1275	1342	31.58%	26.99%	41.43%	-0.21	-9.4	17
2022-06-22	@ FA Siauliai	W 1-0	41.5	1342	1275	41.43%	26.99%	31.58%	+0.21	+9.4	24
2022-06-22	Panevezys	L 0-5	26.5	1010	1415	7.12%	17.55%	75.33%	-2.18	-9.6	1
2022-06-22	@ Jonava	W 5-0	26.5	1415	1010	75.33%	17.55%	7.12%	+2.18	+9.6	33
2022-06-25	FA Siauliai	L 1-2	55.8	1424	1266	59.82%	24.10%	16.08%	+1.10	-14.8	33
2022-06-25	@ Panevezys	W 2-1	55.8	1266	1424	16.08%	24.10%	59.82%	-1.10	+14.8	20
2022-06-25	Hegelmann	L 0-3	42.3	1392	1415	37.61%	27.10%	35.29%	+0.05	-29.3	28
2022-06-25	@ Riteriai	W 3-0	42.3	1415	1392	35.29%	27.10%	37.61%	-0.05	+29.3	33
2022-06-26	Banga Gargzdai	D 1-1	53.6	1351	1197	59.33%	24.24%	16.43%	+1.07	-2.6	25
2022-06-26	@ Kauno Zalgiris	D 1-1	53.6	1197	1351	16.43%	24.24%	59.33%	-1.07	+2.6	15
2022-06-26	Jonava	W 2-0	31.3	1206	1000	64.38%	22.60%	13.02%	+1.38	+8.0	12
2022-06-26	@ Dziugas	L 0-2	31.3	1000	1206	13.02%	22.60%	64.38%	-1.38	-8.0	1
2022-06-26	Zalgiris	L 0-5	44.2	1439	1548	26.30%	26.56%	47.14%	-0.45	-35.9	25
2022-06-26	@ Suduva	W 5-0	44.2	1548	1439	47.14%	26.56%	26.30%	+0.45	+35.9	38
2022-07-01	Hegelmann	W 2-1	52.5	1584	1444	57.98%	24.61%	17.41%	+1.00	+5.4	41
2022-07-01	@ Zalgiris	L 1-2	52.5	1444	1584	17.41%	24.61%	57.98%	-1.00	-5.3	33
2022-07-02	Kauno Zalgiris	D 1-1	54.2	1362	1348	42.75%	26.92%	30.33%	+0.26	-0.7	29
2022-07-02	@ Riteriai	D 1-1	54.2	1348	1362	30.33%	26.92%	42.75%	-0.26	+0.7	26
2022-07-02	Panevezys	L 1-2	42.2	1200	1410	16.87%	24.41%	58.71%	-1.04	-5.2	15
2022-07-02	@ Banga Gargzdai	W 2-1	42.2	1410	1200	58.71%	24.41%	16.87%	+1.04	+5.2	36
2022-07-02	Suduva	L 0-4	26.1	992	1403	6.93%	17.31%	75.76%	-2.21	-7.5	1
2022-07-02	@ Jonava	W 4-0	26.1	1403	992	75.76%	17.31%	6.93%	+2.21	+7.5	28
2022-07-03	Dziugas	W 3-2	49.5	1281	1214	49.57%	26.26%	24.17%	+0.57	+6.8	23
2022-07-03	@ FA Siauliai	L 2-3	49.5	1214	1281	24.17%	26.26%	49.57%	-0.57	-6.8	12
2022-07-09	Banga Gargzdai	W 5-0	29.7	1439	1195	67.67%	21.29%	11.04%	+1.60	+15.8	36
2022-07-09	@ Hegelmann	L 0-5	29.7	1195	1439	11.04%	21.29%	67.67%	-1.60	-15.8	15
2022-07-09	FA Siauliai	W 2-1	43.8	1411	1287	56.15%	25.06%	18.79%	+0.90	+5.8	31
2022-07-09	@ Suduva	L 1-2	43.8	1287	1411	18.79%	25.06%	56.15%	-0.90	-5.8	23
2022-07-10	Riteriai	L 1-4	39.2	1207	1362	21.56%	25.77%	52.66%	-0.72	-15.9	12
2022-07-10	@ Dziugas	W 4-1	39.2	1362	1207	52.66%	25.77%	21.56%	+0.72	+15.9	32
2022-07-15	Riteriai	W 3-2	57.1	1282	1378	27.86%	26.72%	45.41%	-0.38	+11.1	26
2022-07-15	@ FA Siauliai	L 2-3	57.1	1378	1282	45.41%	26.72%	27.86%	+0.38	-11.1	32
2022-07-16	Jonava	W 6-0	24.5	1454	984	83.07%	12.92%	4.00%	+2.91	+5.8	39
2022-07-16	@ Hegelmann	L 0-6	24.5	984	1454	4.00%	12.92%	83.07%	-2.91	-5.8	1
2022-07-17	Banga Gargzdai	L 0-1	43.9	1191	1179	42.52%	26.93%	30.55%	+0.25	-11.8	12
2022-07-17	@ Dziugas	W 1-0	43.9	1179	1191	30.55%	26.93%	42.52%	-0.25	+11.8	18
2022-07-22	Dziugas	W 2-1	40.7	1366	1180	62.60%	23.23%	14.18%	+1.27	+4.4	35
2022-07-22	@ Riteriai	L 1-2	40.7	1180	1366	14.18%	23.23%	62.60%	-1.27	-4.4	12
2022-07-23	FA Siauliai	L 1-3	36.1	979	1293	10.63%	20.97%	68.40%	-1.65	-5.6	1
2022-07-23	@ Jonava	W 3-1	36.1	1293	979	68.40%	20.97%	10.63%	+1.65	+5.6	29
2022-07-23	Kauno Zalgiris	W 2-1	46.9	1415	1349	49.46%	26.27%	24.27%	+0.56	+7.2	39
2022-07-23	@ Panevezys	L 1-2	46.9	1349	1415	24.27%	26.27%	49.46%	-0.56	-7.2	26
2022-07-24	Hegelmann	D 1-1	54.9	1191	1460	12.96%	22.56%	64.49%	-1.39	+3.2	19
2022-07-24	@ Banga Gargzdai	D 1-1	54.9	1460	1191	64.49%	22.56%	12.96%	+1.39	-3.2	40
2022-07-29	Dziugas	D 1-1	52.4	1194	1175	43.41%	26.88%	29.71%	+0.29	-0.8	20
2022-07-29	@ Banga Gargzdai	D 1-1	52.4	1175	1194	29.71%	26.88%	43.41%	-0.29	+0.8	13
2022-07-30	FA Siauliai	W 3-1	43.0	1371	1298	50.29%	26.16%	23.55%	+0.60	+12.1	38
2022-07-30	@ Riteriai	L 1-3	43.0	1298	1371	23.55%	26.16%	50.29%	-0.60	-12.2	29
2022-07-31	Hegelmann	L 0-1	29.1	973	1457	5.00%	14.61%	80.39%	-2.63	-1.4	1
2022-07-31	@ Jonava	W 1-0	29.1	1457	973	80.39%	14.61%	5.00%	+2.63	+1.4	43
2022-08-02	Suduva	D 2-2	61.0	1342	1417	30.47%	26.93%	42.60%	-0.25	+0.5	27
2022-08-02	@ Kauno Zalgiris	D 2-2	61.0	1417	1342	42.60%	26.93%	30.47%	+0.25	-0.5	32
2022-08-05	Hegelmann	D 0-0	50.3	1286	1458	19.94%	25.38%	54.68%	-0.82	+2.3	30
2022-08-05	@ FA Siauliai	D 0-0	50.3	1458	1286	54.68%	25.38%	19.94%	+0.82	-2.3	44
2022-08-06	Banga Gargzdai	W 2-1	38.4	1590	1193	78.84%	15.55%	5.61%	+2.49	+1.5	44
2022-08-06	@ Zalgiris	L 1-2	38.4	1193	1590	5.61%	15.55%	78.84%	-2.49	-1.6	20
2022-08-06	Jonava	D 2-2	59.5	1176	972	64.23%	22.65%	13.12%	+1.37	-2.4	14
2022-08-06	@ Dziugas	D 2-2	59.5	972	1176	13.12%	22.65%	64.23%	-1.37	+2.4	2
2022-08-07	Panevezys	W 4-1	46.8	1416	1422	40.02%	27.05%	32.94%	+0.15	+22.4	35
2022-08-07	@ Suduva	L 1-4	46.8	1422	1416	32.94%	27.05%	40.02%	-0.15	-22.4	39
2022-08-07	Riteriai	W 2-0	42.3	1342	1383	35.07%	27.09%	37.84%	-0.06	+20.3	30
2022-08-07	@ Kauno Zalgiris	L 0-2	42.3	1383	1342	37.84%	27.09%	35.07%	+0.06	-20.3	38
2022-08-12	Dziugas	W 5-0	28.7	1456	1174	70.82%	19.86%	9.32%	+1.82	+13.0	47
2022-08-12	@ Hegelmann	L 0-5	28.7	1174	1456	9.32%	19.86%	70.82%	-1.82	-13.0	14
2022-08-13	FA Siauliai	L 1-2	54.6	1400	1289	54.78%	25.36%	19.86%	+0.83	-13.7	39
2022-08-13	@ Panevezys	W 2-1	54.6	1289	1400	19.86%	25.36%	54.78%	-0.83	+13.7	33
2022-08-13	Kauno Zalgiris	L 1-2	36.7	974	1363	7.66%	18.18%	74.16%	-2.08	-2.2	2
2022-08-13	@ Jonava	W 2-1	36.7	1363	974	74.16%	18.18%	7.66%	+2.08	+2.2	33
2022-08-14	Suduva	D 0-0	49.6	1192	1439	14.30%	23.29%	62.41%	-1.26	+3.3	21
2022-08-14	@ Banga Gargzdai	D 0-0	49.6	1439	1192	62.41%	23.29%	14.30%	+1.26	-3.3	36
2022-08-14	Zalgiris	L 1-5	42.5	1363	1591	15.50%	23.86%	60.64%	-1.15	-15.2	38
2022-08-14	@ Riteriai	W 5-1	42.5	1591	1363	60.64%	23.86%	15.50%	+1.15	+15.2	47
2022-08-20	Dziugas	D 2-2	59.3	1302	1161	58.10%	24.58%	17.32%	+1.00	-1.9	34
2022-08-20	@ FA Siauliai	D 2-2	59.3	1161	1302	17.32%	24.58%	58.10%	-1.00	+1.9	15
2022-08-20	Kauno Zalgiris	D 1-1	57.1	1469	1365	54.01%	25.52%	20.47%	+0.79	-2.0	48
2022-08-20	@ Hegelmann	D 1-1	57.1	1365	1469	20.47%	25.52%	54.01%	-0.79	+2.0	34
2022-08-21	Banga Gargzdai	W 2-1	40.7	1386	1195	62.96%	23.10%	13.93%	+1.29	+4.3	42
2022-08-21	@ Panevezys	L 1-2	40.7	1195	1386	13.93%	23.10%	62.96%	-1.29	-4.3	21
2022-08-21	Jonava	W 3-1	30.3	1606	972	90.16%	8.05%	1.79%	+3.87	+0.7	50
2022-08-21	@ Zalgiris	L 1-3	30.3	972	1606	1.79%	8.05%	90.16%	-3.87	-0.7	2
2022-08-21	Riteriai	W 2-1	46.5	1435	1348	52.10%	25.87%	22.03%	+0.69	+6.6	39
2022-08-21	@ Suduva	L 1-2	46.5	1348	1435	22.03%	25.87%	52.10%	-0.69	-6.6	38
2022-08-26	Riteriai	L 0-1	37.8	1191	1341	21.97%	25.86%	52.18%	-0.69	-7.0	21
2022-08-26	@ Banga Gargzdai	W 1-0	37.8	1341	1191	52.18%	25.86%	21.97%	+0.69	+7.0	41
2022-08-27	Dziugas	W 3-2	44.8	1390	1162	66.31%	21.85%	11.84%	+1.50	+3.4	45
2022-08-27	@ Panevezys	L 2-3	44.8	1162	1390	11.84%	21.85%	66.31%	-1.50	-3.4	15
2022-08-27	Suduva	L 0-2	26.9	971	1442	5.30%	15.09%	79.61%	-2.56	-2.9	2
2022-08-27	@ Jonava	W 2-0	26.9	1442	971	79.61%	15.09%	5.30%	+2.56	+2.9	42
2022-08-28	Kauno Zalgiris	L 0-3	38.2	1300	1367	31.55%	26.99%	41.46%	-0.21	-25.7	34
2022-08-28	@ FA Siauliai	W 3-0	38.2	1367	1300	41.46%	26.99%	31.55%	+0.21	+25.7	37
2022-08-28	Zalgiris	L 1-4	51.6	1467	1607	22.96%	26.05%	50.99%	-0.64	-16.8	48
2022-08-28	@ Hegelmann	W 4-1	51.6	1607	1467	50.99%	26.05%	22.96%	+0.64	+16.8	53
2022-09-02	Panevezys	D 1-1	57.1	1450	1394	48.33%	26.42%	25.25%	+0.51	-1.3	49
2022-09-02	@ Hegelmann	D 1-1	57.1	1394	1450	25.25%	26.42%	48.33%	-0.51	+1.3	46
2022-09-03	Jonava	W 2-1	35.6	1348	968	77.79%	16.16%	6.05%	+2.39	+1.7	44
2022-09-03	@ Riteriai	L 1-2	35.6	968	1348	6.05%	16.16%	77.79%	-2.39	-1.7	2
2022-09-03	Zalgiris	D 1-1	59.0	1159	1624	5.45%	15.30%	79.25%	-2.52	+4.6	16
2022-09-03	@ Dziugas	D 1-1	59.0	1624	1159	79.25%	15.30%	5.45%	+2.52	-4.6	54
2022-09-04	Kauno Zalgiris	L 0-1	36.1	1184	1393	16.92%	24.43%	58.65%	-1.03	-5.5	21
2022-09-04	@ Banga Gargzdai	W 1-0	36.1	1393	1184	58.65%	24.43%	16.92%	+1.03	+5.5	40
2022-09-06	Hegelmann	W 2-1	52.9	1445	1449	40.26%	27.04%	32.71%	+0.16	+9.1	45
2022-09-06	@ Suduva	L 1-2	52.9	1449	1445	32.71%	27.04%	40.26%	-0.16	-9.1	49
2022-09-07	Banga Gargzdai	L 0-5	31.2	966	1178	16.70%	24.35%	58.95%	-1.05	-24.1	2
2022-09-07	@ Jonava	W 5-0	31.2	1178	966	58.95%	24.35%	16.70%	+1.05	+24.1	24
2022-09-07	Dziugas	W 5-1	33.1	1398	1164	66.90%	21.61%	11.49%	+1.54	+11.1	43
2022-09-07	@ Kauno Zalgiris	L 1-5	33.1	1164	1398	11.49%	21.61%	66.90%	-1.54	-11.1	16
2022-09-07	Riteriai	L 0-1	47.5	1395	1350	46.89%	26.58%	26.53%	+0.44	-12.7	46
2022-09-07	@ Panevezys	W 1-0	47.5	1350	1395	26.53%	26.58%	46.89%	-0.44	+12.7	47
2022-09-10	Panevezys	D 1-1	55.5	942	1382	6.10%	16.24%	77.66%	-2.38	+4.5	3
2022-09-10	@ Jonava	D 1-1	55.5	1382	942	77.66%	16.24%	6.10%	+2.38	-4.5	47
2022-09-10	Suduva	W 2-1	56.4	1152	1454	11.24%	21.43%	67.32%	-1.57	+16.3	19
2022-09-10	@ Dziugas	L 1-2	56.4	1454	1152	67.32%	21.43%	11.24%	+1.57	-16.3	45
2022-09-11	Banga Gargzdai	D 1-1	52.8	1275	1202	50.27%	26.16%	23.57%	+0.60	-1.6	35
2022-09-11	@ FA Siauliai	D 1-1	52.8	1202	1275	23.57%	26.16%	50.27%	-0.60	+1.6	25
2022-09-11	Hegelmann	D 0-0	51.0	1362	1440	30.14%	26.91%	42.95%	-0.27	+0.8	48
2022-09-11	@ Riteriai	D 0-0	51.0	1440	1362	42.95%	26.91%	30.14%	+0.27	-0.8	50
2022-09-11	Zalgiris	L 0-2	44.0	1409	1619	16.83%	24.40%	58.77%	-1.04	-10.4	43
2022-09-11	@ Kauno Zalgiris	W 2-0	44.0	1619	1409	58.77%	24.40%	16.83%	+1.04	+10.4	57
2022-09-16	Jonava	W 2-1	34.3	1399	947	82.12%	13.54%	4.35%	+2.81	+1.1	46
2022-09-16	@ Kauno Zalgiris	L 1-2	34.3	947	1399	4.35%	13.54%	82.12%	-2.81	-1.1	3
2022-09-17	Hegelmann	L 0-1	34.5	1169	1439	12.90%	22.52%	64.58%	-1.39	-4.2	19
2022-09-17	@ Dziugas	W 1-0	34.5	1439	1169	64.58%	22.52%	12.90%	+1.39	+4.2	53
2022-09-17	Panevezys	W 1-0	46.2	1273	1378	26.83%	26.62%	46.56%	-0.43	+12.7	38
2022-09-17	@ FA Siauliai	L 0-1	46.2	1378	1273	46.56%	26.62%	26.83%	+0.43	-12.7	47
2022-09-18	Banga Gargzdai	W 2-0	31.8	1438	1204	66.82%	21.64%	11.54%	+1.54	+7.1	48
2022-09-18	@ Suduva	L 0-2	31.8	1204	1438	11.54%	21.64%	66.82%	-1.54	-7.1	25
2022-09-18	Riteriai	W 3-1	45.4	1630	1363	69.57%	20.45%	9.99%	+1.73	+5.2	60
2022-09-18	@ Zalgiris	L 1-3	45.4	1363	1630	9.99%	20.45%	69.57%	-1.73	-5.2	48
2022-09-27	Suduva	W 1-0	46.9	1635	1445	62.92%	23.12%	13.96%	+1.29	+4.6	63
2022-09-27	@ Zalgiris	L 0-1	46.9	1445	1635	13.96%	23.12%	62.92%	-1.29	-4.6	48
2022-10-01	Dziugas	L 0-1	35.0	946	1165	16.18%	24.15%	59.67%	-1.09	-5.3	3
2022-10-01	@ Jonava	W 1-0	35.0	1165	946	59.67%	24.15%	16.18%	+1.09	+5.3	22
2022-10-01	FA Siauliai	W 2-1	43.2	1443	1286	59.71%	24.13%	16.15%	+1.10	+5.0	56
2022-10-01	@ Hegelmann	L 1-2	43.2	1286	1443	16.15%	24.13%	59.71%	-1.10	-5.0	38
2022-10-02	Suduva	W 2-0	45.2	1365	1440	30.45%	26.93%	42.62%	-0.26	+22.2	50
2022-10-02	@ Panevezys	L 0-2	45.2	1440	1365	42.62%	26.93%	30.45%	+0.26	-22.2	48
2022-10-08	FA Siauliai	W 1-0	45.4	1170	1281	26.10%	26.53%	47.37%	-0.47	+12.8	25
2022-10-08	@ Dziugas	L 0-1	45.4	1281	1170	47.37%	26.53%	26.10%	+0.47	-12.8	38
2022-10-09	Hegelmann	D 1-1	57.0	1400	1448	34.03%	27.08%	38.89%	-0.10	+0.3	47
2022-10-09	@ Kauno Zalgiris	D 1-1	57.0	1448	1400	38.89%	27.08%	34.03%	+0.10	-0.3	57
2022-10-09	Panevezys	D 1-1	53.6	1197	1387	18.36%	24.93%	56.71%	-0.93	+2.3	26
2022-10-09	@ Banga Gargzdai	D 1-1	53.6	1387	1197	56.71%	24.93%	18.36%	+0.93	-2.3	51
2022-10-09	Suduva	L 2-3	54.9	1358	1418	32.43%	27.03%	40.54%	-0.17	-8.6	48
2022-10-09	@ Riteriai	W 3-2	54.9	1418	1358	40.54%	27.03%	32.43%	+0.17	+8.6	51
2022-10-09	Zalgiris	L 0-4	22.4	940	1640	1.76%	7.99%	90.25%	-3.89	-1.6	3
2022-10-09	@ Jonava	W 4-0	22.4	1640	940	90.25%	7.99%	1.76%	+3.89	+1.6	66
2022-10-15	Jonava	W 2-0	28.3	1268	939	74.33%	18.09%	7.58%	+2.09	+4.4	41
2022-10-15	@ FA Siauliai	L 0-2	28.3	939	1268	7.58%	18.09%	74.33%	-2.09	-4.4	3
2022-10-19	Kauno Zalgiris	L 0-2	46.2	1426	1400	44.38%	26.81%	28.81%	+0.33	-23.0	51
2022-10-19	@ Suduva	W 2-0	46.2	1400	1426	28.81%	26.81%	44.38%	-0.33	+22.9	50
2022-10-19	Zalgiris	L 0-1	44.9	1385	1641	13.72%	22.99%	63.29%	-1.31	-4.5	51
2022-10-19	@ Panevezys	W 1-0	44.9	1641	1385	63.29%	22.99%	13.72%	+1.31	+4.5	69
2022-10-21	Banga Gargzdai	D 2-2	59.6	1349	1199	58.98%	24.34%	16.68%	+1.05	-1.9	49
2022-10-21	@ Riteriai	D 2-2	59.6	1199	1349	16.68%	24.34%	58.98%	-1.05	+1.9	27
2022-10-23	FA Siauliai	W 1-0	37.0	1423	1272	59.05%	24.32%	16.63%	+1.06	+5.4	53
2022-10-23	@ Kauno Zalgiris	L 0-1	37.0	1272	1423	16.63%	24.32%	59.05%	-1.06	-5.4	41
2022-10-23	Hegelmann	W 2-1	53.1	1646	1448	63.61%	22.88%	13.51%	+1.33	+4.2	72
2022-10-23	@ Zalgiris	L 1-2	53.1	1448	1646	13.51%	22.88%	63.61%	-1.33	-4.2	57
2022-10-23	Jonava	W 1-0	28.1	1403	934	83.03%	12.95%	4.02%	+2.91	+1.1	54
2022-10-23	@ Suduva	L 0-1	28.1	934	1403	4.02%	12.95%	83.03%	-2.91	-1.1	3
2022-10-23	Panevezys	D 0-0	48.7	1183	1380	17.77%	24.73%	57.49%	-0.97	+2.7	26
2022-10-23	@ Dziugas	D 0-0	48.7	1380	1183	57.49%	24.73%	17.77%	+0.97	-2.7	52
2022-10-29	Banga Gargzdai	W 3-0	30.3	1429	1201	66.30%	21.86%	11.85%	+1.50	+10.5	56
2022-10-29	@ Kauno Zalgiris	L 0-3	30.3	1201	1429	11.85%	21.86%	66.30%	-1.50	-10.5	27
2022-10-29	Riteriai	L 0-3	26.4	933	1347	6.84%	17.21%	75.95%	-2.23	-5.7	3
2022-10-29	@ Jonava	W 3-0	26.4	1347	933	75.95%	17.21%	6.84%	+2.23	+5.7	52
2022-10-29	Suduva	W 2-0	45.1	1267	1405	23.22%	26.10%	50.68%	-0.62	+25.6	44
2022-10-29	@ FA Siauliai	L 0-2	45.1	1405	1267	50.68%	26.10%	23.22%	+0.62	-25.6	54
2022-10-30	Dziugas	W 6-0	28.8	1650	1185	82.79%	13.11%	4.11%	+2.88	+6.0	75
2022-10-30	@ Zalgiris	L 0-6	28.8	1185	1650	4.11%	13.11%	82.79%	-2.88	-6.0	26
2022-10-30	Hegelmann	W 3-1	51.2	1378	1444	31.62%	26.99%	41.38%	-0.20	+18.8	55
2022-10-30	@ Panevezys	L 1-3	51.2	1444	1378	41.38%	26.99%	31.62%	+0.20	-18.8	57
2022-11-05	Panevezys	D 0-0	51.9	1439	1397	46.55%	26.62%	26.83%	+0.43	-1.3	57
2022-11-05	@ Kauno Zalgiris	D 0-0	51.9	1397	1439	26.83%	26.62%	46.55%	-0.43	+1.3	56
2022-11-06	Zalgiris	L 1-2	50.6	1379	1656	12.53%	22.30%	65.17%	-1.43	-3.8	54
2022-11-06	@ Suduva	W 2-1	50.6	1656	1379	65.17%	22.30%	12.53%	+1.43	+3.9	78
2022-11-08	Kauno Zalgiris	W 2-0	45.2	1353	1438	29.20%	26.84%	43.96%	-0.31	+22.8	55
2022-11-08	@ Riteriai	L 0-2	45.2	1438	1353	43.96%	26.84%	29.20%	+0.31	-22.8	57
2022-11-09	Panevezys	L 0-1	62.0	1660	1398	69.18%	20.63%	10.20%	+1.70	-17.7	78
2022-11-09	@ Zalgiris	W 1-0	62.0	1398	1660	10.20%	20.63%	69.18%	-1.70	+17.7	59
2022-11-11	Jonava	W 2-0	29.8	1191	928	69.27%	20.58%	10.14%	+1.71	+6.1	30
2022-11-11	@ Banga Gargzdai	L 0-2	29.8	928	1191	10.14%	20.58%	69.27%	-1.71	-6.1	3
2022-11-13	Kauno Zalgiris	L 0-3	31.6	1179	1415	15.01%	23.64%	61.35%	-1.19	-13.5	26
2022-11-13	@ Dziugas	W 3-0	31.6	1415	1179	61.35%	23.64%	15.01%	+1.19	+13.5	60
2022-11-13	Panevezys	W 2-1	51.7	1376	1416	35.22%	27.10%	37.69%	-0.05	+10.1	58
2022-11-13	@ Riteriai	L 1-2	51.7	1416	1376	37.69%	27.10%	35.22%	+0.05	-10.1	59
2022-11-13	Suduva	W 2-0	39.9	1425	1375	47.47%	26.52%	26.01%	+0.47	+15.2	60
2022-11-13	@ Hegelmann	L 0-2	39.9	1375	1425	26.01%	26.52%	47.47%	-0.47	-15.2	54
2022-11-13	Zalgiris	W 3-0	53.9	1293	1642	9.11%	19.67%	71.23%	-1.85	+49.4	47
2022-11-13	@ FA Siauliai	L 0-3	53.9	1642	1293	71.23%	19.67%	9.11%	+1.85	-49.4	78
2022-11-17	Zalgiris	L 0-2	31.5	1197	1593	7.42%	17.90%	74.67%	-2.12	-4.3	30
2022-11-17	@ Banga Gargzdai	W 2-0	31.5	1593	1197	74.67%	17.90%	7.42%	+2.12	+4.3	81
2022-11-20	FA Siauliai	W 5-0	36.0	1597	1342	68.61%	20.88%	10.51%	+1.66	+14.9	84
2022-11-20	@ Zalgiris	L 0-5	36.0	1342	1597	10.51%	20.88%	68.61%	-1.66	-14.9	47
2022-11-23	Dziugas	D 1-1	53.9	1360	1166	63.27%	23.00%	13.74%	+1.31	-3.1	55
2022-11-23	@ Suduva	D 1-1	53.9	1166	1360	13.74%	23.00%	63.27%	-1.31	+3.1	27
2022-11-23	FA Siauliai	L 2-3	49.4	1192	1327	23.52%	26.15%	50.32%	-0.60	-6.6	30
2022-11-23	@ Banga Gargzdai	W 3-2	49.4	1327	1192	50.32%	26.15%	23.52%	+0.60	+6.7	50
2022-11-23	Jonava	W 2-1	33.8	1405	921	83.81%	12.45%	3.74%	+2.99	+1.0	62
2022-11-23	@ Panevezys	L 1-2	33.8	921	1405	3.74%	12.45%	83.81%	-2.99	-1.0	3
2022-11-23	Kauno Zalgiris	L 2-3	71.2	1612	1429	62.23%	23.35%	14.42%	+1.24	-14.5	84
2022-11-23	@ Zalgiris	W 3-2	71.2	1429	1612	14.42%	23.35%	62.23%	-1.24	+14.5	63
2022-11-23	Riteriai	D 2-2	62.6	1440	1386	48.01%	26.46%	25.53%	+0.49	-1.0	61
2022-11-23	@ Hegelmann	D 2-2	62.6	1386	1440	25.53%	26.46%	48.01%	-0.49	+1.0	59

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
#	Date	Underdog Win %	Team	Elo	Score	Team	Elo	Score
1	2022-11-13	9.11%	@ FA Siauliai	1293	3	Zalgiris	1642	0
2	2022-11-09	10.20%	Panevezys	1398	1	@ Zalgiris	1660	0
3	2022-09-10	11.24%	@ Dziugas	1152	2	Suduva	1454	1
4	2022-05-22	11.71%	Kauno Zalgiris	1316	2	@ Zalgiris	1547	1
5	2022-11-23	14.42%	Kauno Zalgiris	1429	3	@ Zalgiris	1612	2
6	2022-06-17	15.90%	@ Banga Gargzdai	1208	1	Hegelmann	1430	0
7	2022-06-25	16.08%	FA Siauliai	1266	2	@ Panevezys	1424	1
8	2022-08-13	19.86%	FA Siauliai	1289	2	@ Panevezys	1400	1
9	2022-04-15	20.03%	@ Banga Gargzdai	1201	3	Kauno Zalgiris	1372	1
10	2022-10-29	23.22%	@ FA Siauliai	1267	2	Suduva	1405	0
11	2022-04-30	24.35%	@ Kauno Zalgiris	1322	2	Panevezys	1449	1
12	2022-10-08	26.10%	@ Dziugas	1170	1	FA Siauliai	1281	0
13	2022-09-07	26.53%	Riteriai	1350	1	@ Panevezys	1395	0
14	2022-09-17	26.83%	@ FA Siauliai	1273	1	Panevezys	1378	0
15	2022-07-15	27.86%	@ FA Siauliai	1282	3	Riteriai	1378	2
16	2022-03-15	27.87%	Panevezys	1354	1	@ Hegelmann	1388	0
17	2022-10-19	28.81%	Kauno Zalgiris	1400	2	@ Suduva	1426	0
18	2022-03-16	28.84%	@ Riteriai	1342	2	Suduva	1430	0
19	2022-11-08	29.20%	@ Riteriai	1353	2	Kauno Zalgiris	1438	0
20	2022-04-06	29.23%	@ FA Siauliai	1284	1	Riteriai	1369	0
21	2022-10-02	30.45%	@ Panevezys	1365	2	Suduva	1440	0
22	2022-07-17	30.55%	Banga Gargzdai	1179	1	@ Dziugas	1191	0
23	2022-10-30	31.62%	@ Panevezys	1378	3	Hegelmann	1444	1
24	2022-04-10	31.73%	Hegelmann	1390	1	@ Suduva	1393	0
25	2022-04-22	34.18%	Riteriai	1364	1	@ Kauno Zalgiris	1349	0

Biggest Elo Changes

The 25 games that resulted in the largest shift in Elo rating.

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2022-11-13	49.42	@ FA Siauliai	3	1293	9.11%	Zalgiris	0	1642	71.23%	19.67%
2	2022-06-26	35.93	Zalgiris	5	1548	47.14%	@ Suduva	0	1439	26.30%	26.56%
3	2022-06-25	29.33	Hegelmann	3	1415	35.29%	@ Riteriai	0	1392	37.61%	27.10%
4	2022-05-14	25.96	Suduva	3	1406	41.09%	@ Kauno Zalgiris	0	1342	31.90%	27.00%
5	2022-06-21	25.81	Riteriai	4	1366	51.28%	@ Banga Gargzdai	0	1223	22.71%	26.01%
6	2022-08-28	25.74	Kauno Zalgiris	3	1367	41.46%	@ FA Siauliai	0	1300	31.55%	26.99%
7	2022-10-29	25.62	@ FA Siauliai	2	1267	23.22%	Suduva	0	1405	50.68%	26.10%
8	2022-09-07	24.08	Banga Gargzdai	5	1178	58.95%	@ Jonava	0	966	16.70%	24.35%
9	2022-04-15	23.63	@ Banga Gargzdai	3	1201	20.03%	Kauno Zalgiris	1	1372	54.56%	25.41%
10	2022-04-16	23.27	Panevezys	3	1395	45.57%	@ FA Siauliai	0	1298	27.72%	26.71%
11	2022-10-19	22.95	Kauno Zalgiris	2	1400	28.81%	@ Suduva	0	1426	44.38%	26.81%
12	2022-03-16	22.94	@ Riteriai	2	1342	28.84%	Suduva	0	1430	44.35%	26.81%
13	2022-11-08	22.77	@ Riteriai	2	1353	29.20%	Kauno Zalgiris	0	1438	43.96%	26.84%
14	2022-08-07	22.42	@ Suduva	4	1416	40.02%	Panevezys	1	1422	32.94%	27.05%
15	2022-10-02	22.22	@ Panevezys	2	1365	30.45%	Suduva	0	1440	42.62%	26.93%
16	2022-04-27	21.90	@ Panevezys	3	1427	47.83%	Riteriai	0	1374	25.69%	26.48%
17	2022-08-07	20.28	@ Kauno Zalgiris	2	1342	35.07%	Riteriai	0	1383	37.84%	27.09%
18	2022-10-30	18.80	@ Panevezys	3	1378	31.62%	Hegelmann	1	1444	41.38%	26.99%
19	2022-05-01	17.69	@ Riteriai	3	1353	54.58%	Dziugas	0	1243	20.02%	25.40%
20	2022-11-09	17.66	Panevezys	1	1398	10.20%	@ Zalgiris	0	1660	69.18%	20.63%
21	2022-08-28	16.81	Zalgiris	4	1607	50.99%	@ Hegelmann	1	1467	22.96%	26.05%
22	2022-09-10	16.30	@ Dziugas	2	1152	11.24%	Suduva	1	1454	67.32%	21.43%
23	2022-05-22	16.15	Kauno Zalgiris	2	1316	11.71%	@ Zalgiris	1	1547	66.52%	21.77%
24	2022-07-10	15.93	Riteriai	4	1362	52.66%	@ Dziugas	1	1207	21.56%	25.77%
25	2022-06-19	15.87	Zalgiris	2	1530	45.94%	@ Panevezys	0	1431	27.38%	26.68%

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 %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2022-11-23	71.2	Kauno Zalgiris	3	1429	14.42%	@ Zalgiris	2	1612	62.23%	23.35%
2	2022-04-23	65.8	@ Hegelmann	2	1401	24.26%	Zalgiris	2	1528	49.47%	26.27%
3	2022-04-02	64.9	@ Kauno Zalgiris	2	1365	20.61%	Zalgiris	2	1530	53.84%	25.55%
4	2022-06-21	63.2	@ Hegelmann	2	1415	37.36%	Suduva	2	1439	35.54%	27.10%
5	2022-11-23	62.6	@ Hegelmann	2	1440	48.01%	Riteriai	2	1386	25.53%	26.46%
6	2022-03-26	62.3	@ Banga Gargzdai	3	1216	37.51%	Dziugas	3	1239	35.39%	27.10%
7	2022-11-09	62.0	Panevezys	1	1398	10.20%	@ Zalgiris	0	1660	69.18%	20.63%
8	2022-08-02	61.0	@ Kauno Zalgiris	2	1342	30.47%	Suduva	2	1417	42.60%	26.93%
9	2022-05-22	60.6	Kauno Zalgiris	2	1316	11.71%	@ Zalgiris	1	1547	66.52%	21.77%
10	2022-06-18	60.5	@ Dziugas	2	1206	15.05%	Suduva	2	1441	61.30%	23.65%
11	2022-10-21	59.6	@ Riteriai	2	1349	58.98%	Banga Gargzdai	2	1199	16.68%	24.34%
12	2022-08-06	59.5	@ Dziugas	2	1176	64.23%	Jonava	2	972	13.12%	22.65%
13	2022-08-20	59.3	@ FA Siauliai	2	1302	58.10%	Dziugas	2	1161	17.32%	24.58%
14	2022-09-03	59.0	@ Dziugas	1	1159	5.45%	Zalgiris	1	1624	79.25%	15.30%
15	2022-05-03	57.4	@ Panevezys	1	1436	42.58%	Hegelmann	1	1424	30.49%	26.93%
16	2022-07-15	57.1	@ FA Siauliai	3	1282	27.86%	Riteriai	2	1378	45.41%	26.72%
17	2022-08-20	57.1	@ Hegelmann	1	1469	54.01%	Kauno Zalgiris	1	1365	20.47%	25.52%
18	2022-09-02	57.1	@ Hegelmann	1	1450	48.33%	Panevezys	1	1394	25.25%	26.42%
19	2022-10-09	57.0	@ Kauno Zalgiris	1	1400	34.03%	Hegelmann	1	1448	38.89%	27.08%
20	2022-09-10	56.4	@ Dziugas	2	1152	11.24%	Suduva	1	1454	67.32%	21.43%
21	2022-06-25	55.8	FA Siauliai	2	1266	16.08%	@ Panevezys	1	1424	59.82%	24.10%
22	2022-09-10	55.5	@ Jonava	1	942	6.10%	Panevezys	1	1382	77.66%	16.24%
23	2022-05-04	55.4	@ Suduva	1	1407	45.81%	Riteriai	1	1370	27.50%	26.69%
24	2022-03-19	55.3	@ Suduva	1	1407	46.57%	Kauno Zalgiris	1	1364	26.81%	26.62%
25	2022-04-16	55.2	@ Hegelmann	1	1402	46.12%	Riteriai	1	1362	27.22%	26.66%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2022-10-09	22.4	Zalgiris	4	1640	90.25%	@ Jonava	0	940	1.76%	7.99%
2	2022-07-16	24.5	@ Hegelmann	6	1454	83.07%	Jonava	0	984	4.00%	12.92%
3	2022-04-27	25.5	Zalgiris	5	1527	80.27%	@ Jonava	0	1045	5.05%	14.69%
4	2022-04-30	25.7	@ Hegelmann	4	1417	77.67%	Jonava	0	1039	6.10%	16.23%
5	2022-07-02	26.1	Suduva	4	1403	75.76%	@ Jonava	0	992	6.93%	17.31%
6	2022-10-29	26.4	Riteriai	3	1347	75.95%	@ Jonava	0	933	6.84%	17.21%
7	2022-06-22	26.5	Panevezys	5	1415	75.33%	@ Jonava	0	1010	7.12%	17.55%
8	2022-04-09	26.8	@ Panevezys	4	1387	73.82%	Jonava	0	1065	7.83%	18.36%
9	2022-06-19	26.8	@ Kauno Zalgiris	4	1333	73.22%	Jonava	0	1019	8.11%	18.67%
10	2022-08-27	26.9	Suduva	2	1442	79.61%	@ Jonava	0	971	5.30%	15.09%
11	2022-03-04	27.2	@ Zalgiris	6	1507	77.40%	Jonava	0	1133	6.21%	16.39%
12	2022-10-23	28.1	@ Suduva	1	1403	83.03%	Jonava	0	934	4.02%	12.95%
13	2022-04-01	28.2	@ Riteriai	5	1355	69.80%	Jonava	0	1086	9.86%	20.34%
14	2022-10-15	28.3	@ FA Siauliai	2	1268	74.33%	Jonava	0	939	7.58%	18.09%
15	2022-04-24	28.4	@ Suduva	2	1385	74.75%	Jonava	0	1050	7.39%	17.86%
16	2022-08-12	28.7	@ Hegelmann	5	1456	70.82%	Dziugas	0	1174	9.32%	19.86%
17	2022-10-30	28.8	@ Zalgiris	6	1650	82.79%	Dziugas	0	1185	4.11%	13.11%
18	2022-07-31	29.1	Hegelmann	1	1457	80.39%	@ Jonava	0	973	5.00%	14.61%
19	2022-07-09	29.7	@ Hegelmann	5	1439	67.67%	Banga Gargzdai	0	1195	11.04%	21.29%
20	2022-11-11	29.8	@ Banga Gargzdai	2	1191	69.27%	Jonava	0	928	10.14%	20.58%
21	2022-08-21	30.3	@ Zalgiris	3	1606	90.16%	Jonava	1	972	1.79%	8.05%
22	2022-10-29	30.3	@ Kauno Zalgiris	3	1429	66.30%	Banga Gargzdai	0	1201	11.85%	21.86%
23	2022-04-05	30.8	Kauno Zalgiris	2	1367	66.79%	@ Jonava	0	1072	11.55%	21.65%
24	2022-05-03	31.0	FA Siauliai	3	1259	60.41%	@ Jonava	0	1033	15.66%	23.93%
25	2022-03-16	31.1	@ FA Siauliai	3	1278	60.47%	Jonava	0	1113	15.62%	23.91%