2022 Virsliga Season

180 games

Final

Champion

Valmiera

85 points

Relegated

No relegation

Biggest Overachiever

Riga FC

11.01 points above expected

81 points · 69.99 expected points

Biggest Disappointment

Super Nova

15.13 points below expected

20 points · 35.13 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	Valmiera	36	26	7	3	85	101	25	+76	81.21	+3.79
2	Riga FC	36	26	3	7	81	68	23	+45	69.99	+11.01
3	FK RFS	36	22	10	4	76	83	32	+51	75.43	+0.57
4	Liepaja	36	21	7	8	70	72	42	+30	68.96	+1.04
5	Auda	36	15	6	15	51	42	36	+6	43.16	+7.84
6	Tukums 2000	36	11	5	20	38	38	69	-31	32.61	+5.39
7	Daugavpils	36	9	7	20	34	30	67	-37	37.05	-3.05
8	Spartaks Jurmala	36	9	4	23	31	37	75	-38	33.54	-2.54
9	Metta	36	5	7	24	22	41	86	-45	31.09	-9.09
10	Super Nova	36	4	8	24	20	24	81	-57	35.13	-15.13

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	Riga FC	81	69.99	+11.01
2	Auda	51	43.16	+7.84
3	Tukums 2000	38	32.61	+5.39
4	Valmiera	85	81.21	+3.79
5	Liepaja	70	68.96	+1.04

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Super Nova	20	35.13	-15.13
2	Metta	22	31.09	-9.09
3	Daugavpils	34	37.05	-3.05
4	Spartaks Jurmala	31	33.54	-2.54
5	FK RFS	76	75.43	+0.57

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	Valmiera	15	Apr 10 – Jun 26	1 in 1,168
2	Super Nova	4	Jul 23 – Aug 20	1 in 381
3	Spartaks Jurmala	3	Oct 29 – Nov 12	1 in 43
4	Riga FC	7	May 10 – Jun 22	1 in 36
5	FK RFS	8	Apr 23 – May 23	1 in 18

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Metta	8	Sep 10 – Nov 6	1 in 55
2	Daugavpils	7	Jun 30 – Aug 20	1 in 43
3	Super Nova	5	Apr 23 – May 10	1 in 31
4	Auda	4	May 10 – May 24	1 in 13
5	Tukums 2000	6	Apr 11 – May 6	1 in 10

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Tukums 2000	7	Sep 3 – Oct 23	1 in 197
2	FK RFS	12	Aug 21 – Nov 12	1 in 55
3	Valmiera	18	Mar 18 – Jun 26	1 in 43
4	Auda	5	Jul 2 – Aug 1	1 in 40
5	Super Nova	4	Jul 23 – Aug 20	1 in 29

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Super Nova	21	Mar 11 – Jul 17	1 in 3,943
2	Spartaks Jurmala	12	Mar 12 – May 14	1 in 29
3	Metta	9	Sep 10 – Nov 12	1 in 13
4	Auda	6	Oct 1 – Nov 6	1 in 12
5	Valmiera	2	Apr 2 – Apr 6	1 in 11

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
Valmiera	1700	85	+13	11	11.5	-0.5
Riga FC	1585	81	+13	12	11.3	+0.7
FK RFS	1594	76	+18	9	8.9	+0.1
Liepaja	1493	70	+20	10	8.4	+1.6
Auda	1308	51	-34	3	5.8	-2.8
Tukums 2000	1229	38	-27	2	3.6	-1.6
Daugavpils	1141	34	-7	5	6.0	-1.0
Spartaks Jurmala	1191	31	+89	13	5.9	+7.1
Metta	1092	22	-55	1	5.0	-4.0
Super Nova	1064	20	-30	2	4.2	-2.2

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	AUD	DAU	FR	LIE	MET	RIG	SJ	SN	T2	VAL
Auda	—	4-0-0 7.07	0-3-1 2.05	0-1-3 2.76	3-0-1 7.18	0-0-4 2.52	3-0-1 7.20	3-1-0 6.42	2-0-2 7.31	0-1-3 1.85
Daugavpils	0-0-4 4.19	—	0-0-4 1.78	0-0-4 2.27	4-0-0 6.25	0-1-3 2.04	1-1-2 5.96	1-2-1 6.07	3-1-0 6.40	0-2-2 1.55
FK RFS	1-3-0 9.27	4-0-0 9.56	—	2-2-0 6.74	3-1-0 10.01	2-1-1 6.42	4-0-0 9.68	3-0-1 10.02	3-1-0 9.90	0-2-2 4.80
Liepaja	3-1-0 8.53	4-0-0 9.03	0-2-2 4.51	—	3-1-0 9.57	2-1-1 5.50	3-1-0 9.24	3-1-0 8.76	2-0-2 9.47	1-0-3 3.62
Metta	1-0-3 4.08	0-0-4 5.00	0-1-3 1.37	0-1-3 1.77	—	0-0-4 1.68	1-1-2 5.31	2-2-0 5.26	1-1-2 5.86	0-1-3 1.27
Riga FC	4-0-0 8.77	3-1-0 9.28	1-1-2 4.83	1-1-2 5.75	4-0-0 9.67	—	4-0-0 9.31	4-0-0 8.97	4-0-0 9.72	1-0-3 3.94
Spartaks Jurmala	1-0-3 4.06	2-1-1 5.28	0-0-4 1.68	0-1-3 2.08	2-1-1 5.94	0-0-4 2.03	—	2-1-1 5.44	1-0-3 5.61	1-0-3 1.58
Super Nova	0-1-3 4.85	1-2-1 5.18	1-0-3 1.37	0-1-3 2.55	0-2-2 5.99	0-0-4 2.36	1-1-2 5.80	—	1-1-2 5.70	0-0-4 1.33
Tukums 2000	2-0-2 3.95	0-1-3 4.85	0-1-3 1.46	2-0-2 1.86	2-1-1 5.38	0-0-4 1.63	3-0-1 5.64	2-1-1 5.56	—	0-1-3 1.26
Valmiera	3-1-0 9.48	2-2-0 9.83	2-2-0 6.46	3-0-1 7.64	3-1-0 10.13	3-0-1 7.32	3-0-1 9.81	4-0-0 10.08	3-1-0 10.14	—

Points vs. Goals Scored, Allowed, and Differential

Points plotted against goals scored, allowed, and differential. Use the buttons to switch views; hover a team for exact values. The table gives each fit's R² and slope (the change in points per 10 goals).

Fit Metrics

	R²	Slope
Scored	0.85	+9.1
Allowed	0.92	-9.9
Differential	0.97	+5.2

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	6.67%	7.22%	7.50%	4.17%	2.50%	1.11%	29.17%
1	7.22%	7.78%	5.83%	3.89%	2.50%	2.50%	29.72%
2	7.50%	5.83%	3.33%	3.33%	0.28%	0.28%	20.56%
3	4.17%	3.89%	3.33%	—	—	—	11.39%
4	2.50%	2.50%	0.28%	—	—	—	5.28%
5+	1.11%	2.50%	0.28%	—	—	—	3.89%
Total	29.17%	29.72%	20.56%	11.39%	5.28%	3.89%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.49	1.49	+0.00
SD	1.48	1.48	2.34
CV	0.99	0.99	—
Max	10	10	+10
Min	0	0	-10

Games Played: 180

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	16.67%	8.33%	2.78%	—	—	36.11%
1	11.11%	8.33%	11.11%	2.78%	—	—	33.33%
2	5.56%	11.11%	—	—	—	—	16.67%
3	5.56%	—	2.78%	—	—	—	8.33%
4	—	2.78%	—	—	—	—	2.78%
5+	2.78%	—	—	—	—	—	2.78%
Total	33.33%	38.89%	22.22%	5.56%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.17	1.00	+0.17
SD	1.25	0.89	1.72
CV	1.07	0.89	—
Max	5	3	+5
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	8.33%	11.11%	—	13.89%	—	44.44%
1	8.33%	8.33%	8.33%	2.78%	2.78%	5.56%	36.11%
2	5.56%	2.78%	—	2.78%	—	—	11.11%
3	—	—	8.33%	—	—	—	8.33%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	25.00%	19.44%	27.78%	5.56%	16.67%	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.83	1.86	-1.03
SD	0.94	1.57	1.89
CV	1.13	0.84	—
Max	3	5	+2
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	—	2.78%	—	2.78%	—	13.89%
1	5.56%	11.11%	—	2.78%	—	—	19.44%
2	11.11%	5.56%	8.33%	2.78%	—	—	27.78%
3	8.33%	8.33%	5.56%	—	—	—	22.22%
4	8.33%	2.78%	—	—	—	—	11.11%
5+	5.56%	—	—	—	—	—	5.56%
Total	47.22%	27.78%	16.67%	5.56%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.31	0.89	+1.42
SD	1.91	1.06	2.43
CV	0.83	1.20	—
Max	10	4	+10
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	—	5.56%	2.78%	—	—	16.67%
1	13.89%	2.78%	8.33%	2.78%	—	—	27.78%
2	5.56%	8.33%	8.33%	2.78%	—	—	25.00%
3	—	5.56%	5.56%	—	—	—	11.11%
4	2.78%	5.56%	—	—	—	—	8.33%
5+	—	8.33%	2.78%	—	—	—	11.11%
Total	30.56%	30.56%	30.56%	8.33%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.00	1.17	+0.83
SD	1.57	0.97	1.83
CV	0.78	0.83	—
Max	5	3	+4
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	5.56%	11.11%	2.78%	2.78%	2.78%	27.78%
1	2.78%	11.11%	5.56%	5.56%	5.56%	8.33%	38.89%
2	2.78%	—	5.56%	13.89%	2.78%	—	25.00%
3	5.56%	—	2.78%	—	—	—	8.33%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	13.89%	16.67%	25.00%	22.22%	11.11%	11.11%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.14	2.39	-1.25
SD	0.93	1.64	2.01
CV	0.82	0.69	—
Max	3	6	+3
Min	0	0	-6

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	8.33%	2.78%	2.78%	—	—	19.44%
1	13.89%	2.78%	2.78%	2.78%	—	—	22.22%
2	22.22%	5.56%	—	—	—	—	27.78%
3	2.78%	5.56%	2.78%	—	—	—	11.11%
4	11.11%	8.33%	—	—	—	—	19.44%
5+	—	—	—	—	—	—	—
Total	55.56%	30.56%	8.33%	5.56%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.89	0.64	+1.25
SD	1.39	0.87	1.79
CV	0.74	1.36	—
Max	4	3	+4
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	2.78%	16.67%	8.33%	2.78%	2.78%	41.67%
1	2.78%	2.78%	5.56%	8.33%	2.78%	2.78%	25.00%
2	5.56%	8.33%	—	8.33%	—	2.78%	25.00%
3	2.78%	2.78%	—	—	—	—	5.56%
4	—	—	2.78%	—	—	—	2.78%
5+	—	—	—	—	—	—	—
Total	19.44%	16.67%	25.00%	25.00%	5.56%	8.33%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.03	2.08	-1.06
SD	1.08	1.56	2.01
CV	1.05	0.75	—
Max	4	6	+3
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	13.89%	11.11%	11.11%	2.78%	2.78%	50.00%
1	2.78%	11.11%	2.78%	8.33%	8.33%	5.56%	38.89%
2	—	2.78%	2.78%	—	—	—	5.56%
3	—	—	5.56%	—	—	—	5.56%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	11.11%	27.78%	22.22%	19.44%	11.11%	8.33%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.67	2.25	-1.58
SD	0.83	1.66	1.83
CV	1.24	0.74	—
Max	3	7	+1
Min	0	0	-7

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	13.89%	5.56%	11.11%	—	2.78%	36.11%
1	5.56%	5.56%	8.33%	2.78%	5.56%	2.78%	30.56%
2	5.56%	11.11%	5.56%	2.78%	—	—	25.00%
3	2.78%	5.56%	—	—	—	—	8.33%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	16.67%	36.11%	19.44%	16.67%	5.56%	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.06	1.92	-0.86
SD	0.98	1.93	2.42
CV	0.93	1.01	—
Max	3	10	+3
Min	0	0	-10

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	2.78%	—	—	—	—	5.56%
1	5.56%	13.89%	5.56%	—	—	—	25.00%
2	11.11%	2.78%	2.78%	—	—	—	16.67%
3	13.89%	11.11%	—	—	—	—	25.00%
4	2.78%	5.56%	—	—	—	—	8.33%
5+	2.78%	16.67%	—	—	—	—	19.44%
Total	38.89%	52.78%	8.33%	—	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.81	0.69	+2.11
SD	1.86	0.62	1.98
CV	0.66	0.90	—
Max	7	2	+7
Min	0	0	-1

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
Valmiera	1700	85	81.21	+3.79	75.0%	63	70	77	82	85	91	94
FK RFS	1594	76	75.43	+0.57	56.0%	62	64	70	75	80	88	91
Riga FC	1585	81	69.99	+11.01	99.0%	54	60	65	70	74	79	93
Liepaja	1493	70	68.96	+1.04	58.0%	52	58	64	68	75	80	89
Auda	1308	51	43.16	+7.84	88.0%	28	31	38	43	48	55	62
Tukums 2000	1229	38	32.61	+5.39	78.0%	15	19	28	33	38	43	49
Spartaks Jurmala	1191	31	33.54	-2.54	34.0%	17	24	30	34	37	43	49
Daugavpils	1141	34	37.05	-3.05	33.0%	21	26	33	37	41	47	59
Metta	1092	22	31.09	-9.09	12.0%	14	18	26	31	36	41	56
Super Nova	1064	20	35.13	-15.13	3.0%	17	24	29	36	40	45	53

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 2.5% * Slight Edge: 2.5% to 6% * Clear Edge: 6% to 11% * Strong Edge: 11% 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

+3.33%

Slight Edge

42.78%17.78%39.44%

Elo Value

Home Edge: 11.59 Elo pts.

174 Elo

0.006 goals per Elo point

0500

Scoring Tilt

Expected

+0.16 goals

Neutral

-2+0.07+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 0.09 * Tight Race: 0.09 to 0.16 * Comfortable: 0.16 to 0.3 * Runaway: 0.3 and up.

Title-Race Openness

2.2

Top-Heavy

123410

Champion Preseason Odds

62%

Valmiera, 1st of 10

LongshotFavorite

Title Margin

Expected

0.11/gm

Tight Race

00.190.5/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread: Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.45 * Some Luck: 5.45 to 8.17 * Lucky: 8.17 to 10.89 * Wild Swing: 10.89 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 0.85 * Close: 0.85 to 1.28 * Off: 1.28 to 1.7 * Way Off: 1.7 and up.
Biggest Overachiever: The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 10 typically lands.
Biggest Underachiever: The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 10 typically lands.
Season Outliers: Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 10 * As Expected: 10 to 16 * Several Outliers: 16 to 22 * Many Outliers: 22 and up.

Luck Spread

Expected

7.45 points

Some Luck

06.8117

Average Finish Error

Expected

1.00

01.072.5

Biggest Overachiever

Expected 95.00%

99.00%

Riga FC

50100

Biggest Underachiever

Expected 5.00%

3.00%

Super Nova

050

Season Outliers

Expected

2 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 0.27 * Top-Heavy: 0.27 to 0.28 * Lopsided: 0.28 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 2.55 * Moderate Separation: 2.55 to 2.8 * Strong Separation: 2.8 to 2.95 * Wide Separation: 2.95 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 82% * Slight Edge: 82% to 86.5% * Clear Edge: 86.5% to 91.5% * Wide Edge: 91.5% and up.
Best vs. Worst: Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 97% * Clear Edge: 97% 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 49% * Some Drama: 49% to 51% * Frequent: 51% to 57.5% * Very Frequent: 57.5% and up.
Blowouts: Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 21% * Occasional: 21% to 27.5% * Frequent: 27.5% to 32% * Very Frequent: 32% and up.

Gini Index

0.26

Even

00.240.5

Noll-Scully

Elo SD: 233.38

3.05

Wide Separation

12.552.953.5

Interquartile Edge

91%

Clear Edge

50%82%100%

Best vs. Worst

Baseline 99%

97%

Clear Edge

50%100%

Close Games

Expected

51%

Some Drama

0%47%100%

Blowouts

Expected

26%

Occasional

0%29%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 0.51 * Slight Separation: 0.51 to 0.55 * Notable Separation: 0.55 to 0.58 * Lopsided: 0.58 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 0.62 * Some Carryover: 0.62 to 0.76 * Strong Carryover: 0.76 to 0.83 * Near-Lock: 0.83 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 13.5% * As Expected: 13.5% to 16.5% * Upset-Prone: 16.5% to 18.5% * Very Upset-Prone: 18.5% 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% * As Expected: 12% to 14% * Shaky Favorites: 14% to 15% * Very Shaky: 15% and up.

Brier Score

Expected

0.48

Highly Predictable

00.502

Matchup Imbalance

0.52

Slight Separation

00.5

Strangeness

Expected

1.18

Wilder Than Modeled

01.002

Repeatability

0.61

Weak Carryover

00.620.761

Upset Rate

Expected

15%

As Expected

0%20%50%

Clear Favorite Upset Rate

Expected

12%

As Expected

0%15%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 0.23 * Well Above Noise: 0.23 and up.

Probability calibration

0.95

Excellent

0.010.050.10.51

Calibration slope

Ideal

1.13

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.106

Well Within Noise

00.1170.3

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
Valmiera	62.00%	27.00%	8.00%	3.00%	—	—	—	—	—	—
Riga FC	5.00%	25.00%	35.00%	35.00%	—	—	—	—	—	—
FK RFS	24.00%	33.00%	35.00%	8.00%	—	—	—	—	—	—
Liepaja	9.00%	15.00%	22.00%	53.00%	1.00%	—	—	—	—	—
Auda	—	—	—	1.00%	59.00%	17.00%	10.00%	7.00%	5.00%	1.00%
Tukums 2000	—	—	—	—	5.00%	16.00%	20.00%	16.00%	18.00%	25.00%
Daugavpils	—	—	—	—	12.00%	29.00%	20.00%	19.00%	11.00%	9.00%
Spartaks Jurmala	—	—	—	—	5.00%	10.00%	22.00%	20.00%	29.00%	14.00%
Metta	—	—	—	—	3.00%	12.00%	12.00%	17.00%	23.00%	33.00%
Super Nova	—	—	—	—	15.00%	16.00%	16.00%	21.00%	14.00%	18.00%

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
FK RFS	100%	—	—
Liepaja	100%	—	—
Riga FC	100%	—	—
Valmiera	100%	—	—
Auda	94.00%	5.00%	1.00%
Daugavpils	80.00%	11.00%	9.00%
Spartaks Jurmala	57.00%	29.00%	14.00%
Super Nova	68.00%	14.00%	18.00%
Tukums 2000	57.00%	18.00%	25.00%
Metta	44.00%	23.00%	33.00%

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
2022-03-11	Super Nova	W 3-1	44.6	1439	1362	52.62%	18.68%	28.70%	+0.51	+17.6	3
2022-03-11	@ Liepaja	L 1-3	44.6	1362	1439	28.70%	18.68%	52.62%	-0.51	-17.6	0
2022-03-12	FK RFS	L 2-3	49.6	1319	1559	15.24%	17.75%	67.01%	-1.32	-5.5	0
2022-03-12	@ Spartaks Jurmala	W 3-2	49.6	1559	1319	67.01%	17.75%	15.24%	+1.32	+5.5	3
2022-03-12	Valmiera	W 2-1	55.4	1420	1483	33.50%	18.80%	47.71%	-0.29	+15.6	3
2022-03-12	@ Riga FC	L 1-2	55.4	1483	1420	47.71%	18.80%	33.50%	+0.29	-15.6	0
2022-03-13	Auda	L 0-1	41.3	1185	1209	38.84%	18.85%	42.31%	-0.07	-13.9	0
2022-03-13	@ Metta	W 1-0	41.3	1209	1185	42.31%	18.85%	38.84%	+0.07	+13.9	3
2022-03-13	Tukums 2000	W 2-1	43.4	1248	1173	52.40%	18.69%	28.91%	+0.50	+10.2	3
2022-03-13	@ Daugavpils	L 1-2	43.4	1173	1248	28.91%	18.69%	52.40%	-0.50	-10.2	0
2022-03-18	Spartaks Jurmala	W 4-1	39.3	1467	1314	61.21%	18.26%	20.52%	+0.95	+18.5	3
2022-03-18	@ Valmiera	L 1-4	39.3	1314	1467	20.52%	18.26%	61.21%	-0.95	-18.5	0
2022-03-19	Daugavpils	W 4-0	30.6	1565	1259	73.38%	16.79%	9.83%	+1.83	+14.3	6
2022-03-19	@ FK RFS	L 0-4	30.6	1259	1565	9.83%	16.79%	73.38%	-1.83	-14.3	3
2022-03-19	Metta	D 2-2	60.2	1162	1171	40.97%	18.85%	40.17%	+0.02	-0.0	1
2022-03-19	@ Tukums 2000	D 2-2	60.2	1171	1162	40.17%	18.85%	40.97%	-0.02	+0.0	1
2022-03-19	Riga FC	W 1-0	46.4	1457	1436	45.21%	18.83%	35.96%	+0.19	+13.1	6
2022-03-19	@ Liepaja	L 0-1	46.4	1436	1457	35.96%	18.83%	45.21%	-0.19	-13.0	3
2022-03-20	Auda	D 0-0	51.4	1344	1223	57.82%	18.47%	23.71%	+0.77	-3.0	1
2022-03-20	@ Super Nova	D 0-0	51.4	1223	1344	23.71%	18.47%	57.82%	-0.77	+3.0	4
2022-04-01	Liepaja	L 0-2	35.9	1295	1470	20.70%	18.28%	61.02%	-0.94	-15.3	0
2022-04-01	@ Spartaks Jurmala	W 2-0	35.9	1470	1295	61.02%	18.28%	20.70%	+0.94	+15.3	9
2022-04-01	Super Nova	W 2-0	38.3	1423	1341	53.11%	18.66%	28.22%	+0.54	+20.1	6
2022-04-01	@ Riga FC	L 0-2	38.3	1341	1423	28.22%	18.66%	53.11%	-0.54	-20.1	1
2022-04-02	FK RFS	D 1-1	58.2	1171	1579	6.62%	15.77%	77.61%	-2.28	+6.1	2
2022-04-02	@ Metta	D 1-1	58.2	1579	1171	77.61%	15.77%	6.62%	+2.28	-6.1	7
2022-04-02	Tukums 2000	W 1-0	38.8	1226	1162	50.84%	18.73%	30.43%	+0.43	+11.3	7
2022-04-02	@ Auda	L 0-1	38.8	1162	1226	30.43%	18.73%	50.84%	-0.43	-11.3	1
2022-04-02	Valmiera	D 0-0	53.2	1244	1486	15.12%	17.73%	67.14%	-1.32	+4.8	4
2022-04-02	@ Daugavpils	D 0-0	53.2	1486	1244	67.14%	17.73%	15.12%	+1.32	-4.8	4
2022-04-05	Spartaks Jurmala	W 3-0	32.9	1443	1280	62.14%	18.20%	19.67%	+1.00	+21.2	9
2022-04-05	@ Riga FC	L 0-3	32.9	1280	1443	19.67%	18.20%	62.14%	-1.00	-21.2	0
2022-04-06	Auda	D 0-0	55.1	1573	1237	75.11%	16.42%	8.47%	+2.00	-6.3	8
2022-04-06	@ FK RFS	D 0-0	55.1	1237	1573	8.47%	16.42%	75.11%	-2.00	+6.3	8
2022-04-06	Daugavpils	W 5-1	34.3	1485	1249	68.56%	17.56%	13.88%	+1.43	+16.6	12
2022-04-06	@ Liepaja	L 1-5	34.3	1249	1485	13.88%	17.56%	68.56%	-1.43	-16.6	4
2022-04-06	Metta	D 1-1	56.7	1481	1177	73.24%	16.81%	9.94%	+1.82	-5.4	5
2022-04-06	@ Valmiera	D 1-1	56.7	1177	1481	9.94%	16.81%	73.24%	-1.82	+5.4	3
2022-04-07	Tukums 2000	L 0-1	48.5	1321	1151	62.86%	18.14%	19.00%	+1.05	-21.3	1
2022-04-07	@ Super Nova	W 1-0	48.5	1151	1321	19.00%	18.14%	62.86%	-1.05	+21.3	4
2022-04-10	Liepaja	L 1-5	32.4	1183	1502	10.33%	16.91%	72.77%	-1.77	-12.5	3
2022-04-10	@ Metta	W 5-1	32.4	1502	1183	72.77%	16.91%	10.33%	+1.77	+12.5	15
2022-04-10	Riga FC	D 0-0	52.7	1233	1464	15.88%	17.82%	66.30%	-1.27	+4.7	5
2022-04-10	@ Daugavpils	D 0-0	52.7	1464	1233	66.30%	17.82%	15.88%	+1.27	-4.7	10
2022-04-10	Valmiera	L 1-3	39.0	1243	1476	15.81%	17.82%	66.37%	-1.27	-10.3	8
2022-04-10	@ Auda	W 3-1	39.0	1476	1243	66.37%	17.82%	15.81%	+1.27	+10.3	8
2022-04-11	FK RFS	L 0-10	29.1	1172	1567	7.09%	15.95%	76.96%	-2.20	-24.4	4
2022-04-11	@ Tukums 2000	W 10-0	29.1	1567	1172	76.96%	15.95%	7.09%	+2.20	+24.4	11
2022-04-11	Super Nova	D 0-0	51.2	1259	1300	36.42%	18.83%	44.75%	-0.17	+0.7	1
2022-04-11	@ Spartaks Jurmala	D 0-0	51.2	1300	1259	44.75%	18.83%	36.42%	+0.17	-0.7	2
2022-04-14	Auda	D 1-1	57.8	1515	1233	71.81%	17.08%	11.12%	+1.69	-5.1	16
2022-04-14	@ Liepaja	D 1-1	57.8	1233	1515	11.12%	17.08%	71.81%	-1.69	+5.1	9
2022-04-14	Metta	W 4-0	27.9	1459	1170	72.32%	16.99%	10.70%	+1.73	+15.5	13
2022-04-14	@ Riga FC	L 0-4	27.9	1170	1459	10.70%	16.99%	72.32%	-1.73	-15.5	3
2022-04-15	Spartaks Jurmala	W 2-0	40.0	1237	1260	39.04%	18.85%	42.11%	-0.06	+28.0	8
2022-04-15	@ Daugavpils	L 0-2	40.0	1260	1237	42.11%	18.85%	39.04%	+0.06	-28.0	1
2022-04-15	Super Nova	W 2-0	35.6	1591	1299	72.49%	16.96%	10.56%	+1.75	+8.1	14
2022-04-15	@ FK RFS	L 0-2	35.6	1299	1591	10.56%	16.96%	72.49%	-1.75	-8.1	2
2022-04-15	Tukums 2000	W 3-0	28.0	1486	1148	75.24%	16.39%	8.37%	+2.01	+9.3	11
2022-04-15	@ Valmiera	L 0-3	28.0	1148	1486	8.37%	16.39%	75.24%	-2.01	-9.3	4
2022-04-18	Riga FC	L 0-1	35.9	1238	1475	15.49%	17.78%	66.73%	-1.30	-6.2	9
2022-04-18	@ Auda	W 1-0	35.9	1475	1238	66.73%	17.78%	15.49%	+1.30	+6.2	16
2022-04-19	Daugavpils	D 0-0	51.2	1291	1265	45.86%	18.82%	35.32%	+0.22	-0.9	3
2022-04-19	@ Super Nova	D 0-0	51.2	1265	1291	35.32%	18.82%	45.86%	-0.22	+0.9	9
2022-04-19	Liepaja	L 1-4	33.0	1139	1509	7.98%	16.27%	75.75%	-2.07	-7.5	4
2022-04-19	@ Tukums 2000	W 4-1	33.0	1509	1139	75.75%	16.27%	7.98%	+2.07	+7.5	19
2022-04-19	Valmiera	L 1-3	62.4	1599	1495	55.78%	18.56%	25.66%	+0.66	-31.1	14
2022-04-19	@ FK RFS	W 3-1	62.4	1495	1599	25.66%	18.56%	55.78%	-0.66	+31.1	14
2022-04-20	Spartaks Jurmala	W 2-0	42.0	1155	1232	31.66%	18.76%	49.58%	-0.38	+32.2	6
2022-04-20	@ Metta	L 0-2	42.0	1232	1155	49.58%	18.76%	31.66%	+0.38	-32.2	1
2022-04-23	FK RFS	L 2-3	63.2	1517	1568	35.04%	18.82%	46.14%	-0.23	-11.4	19
2022-04-23	@ Liepaja	W 3-2	63.2	1568	1517	46.14%	18.82%	35.04%	+0.23	+11.4	17
2022-04-23	Tukums 2000	W 1-0	32.1	1481	1131	75.87%	16.24%	7.89%	+2.08	+3.2	19
2022-04-23	@ Riga FC	L 0-1	32.1	1131	1481	7.89%	16.24%	75.87%	-2.08	-3.2	4
2022-04-23	Valmiera	L 1-5	36.5	1290	1526	15.52%	17.78%	66.69%	-1.29	-18.5	3
2022-04-23	@ Super Nova	W 5-1	36.5	1526	1290	66.69%	17.78%	15.52%	+1.29	+18.5	17
2022-04-24	Auda	L 1-2	46.1	1199	1232	37.58%	18.84%	43.58%	-0.12	-12.8	1
2022-04-24	@ Spartaks Jurmala	W 2-1	46.1	1232	1199	43.58%	18.84%	37.58%	+0.12	+12.8	12
2022-04-24	Metta	W 2-0	35.8	1266	1187	52.84%	18.67%	28.49%	+0.52	+20.2	12
2022-04-24	@ Daugavpils	L 0-2	35.8	1187	1266	28.49%	18.67%	52.84%	-0.52	-20.2	6
2022-04-27	Liepaja	W 3-0	46.9	1545	1505	47.70%	18.80%	33.50%	+0.29	+33.7	20
2022-04-27	@ Valmiera	L 0-3	46.9	1505	1545	33.50%	18.80%	47.70%	-0.29	-33.7	19
2022-04-27	Riga FC	W 2-1	54.8	1580	1484	54.78%	18.60%	26.62%	+0.62	+9.5	20
2022-04-27	@ FK RFS	L 1-2	54.8	1484	1580	26.62%	18.60%	54.78%	-0.62	-9.5	19
2022-04-28	Metta	L 0-1	46.5	1272	1167	55.94%	18.56%	25.50%	+0.67	-19.1	3
2022-04-28	@ Super Nova	W 1-0	46.5	1167	1272	25.50%	18.56%	55.94%	-0.67	+19.1	9
2022-04-30	Daugavpils	L 0-1	36.3	1128	1286	22.31%	18.39%	59.30%	-0.85	-8.7	4
2022-04-30	@ Tukums 2000	W 1-0	36.3	1286	1128	59.30%	18.39%	22.31%	+0.85	+8.7	15
2022-05-01	Riga FC	W 3-0	44.6	1579	1475	55.80%	18.56%	25.63%	+0.67	+26.8	23
2022-05-01	@ Valmiera	L 0-3	44.6	1475	1579	25.63%	18.56%	55.80%	-0.67	-26.8	19
2022-05-01	Spartaks Jurmala	W 2-0	30.9	1589	1187	78.44%	15.52%	6.04%	+2.38	+4.6	23
2022-05-01	@ FK RFS	L 0-2	30.9	1187	1589	6.04%	15.52%	78.44%	-2.38	-4.6	1
2022-05-02	Liepaja	L 1-3	39.4	1253	1472	16.85%	17.93%	65.22%	-1.19	-10.9	3
2022-05-02	@ Super Nova	W 3-1	39.4	1472	1253	65.22%	17.93%	16.85%	+1.19	+10.9	22
2022-05-02	Metta	W 3-2	49.1	1245	1186	50.28%	18.74%	30.97%	+0.41	+10.3	15
2022-05-02	@ Auda	L 2-3	49.1	1186	1245	30.97%	18.74%	50.28%	-0.41	-10.3	9
2022-05-05	FK RFS	L 1-4	39.0	1295	1594	11.45%	17.14%	71.40%	-1.65	-10.7	15
2022-05-05	@ Daugavpils	W 4-1	39.0	1594	1295	71.40%	17.14%	11.45%	+1.65	+10.7	26
2022-05-05	Valmiera	L 0-2	31.2	1182	1605	6.11%	15.55%	78.34%	-2.37	-4.6	1
2022-05-05	@ Spartaks Jurmala	W 2-0	31.2	1605	1182	78.34%	15.55%	6.11%	+2.37	+4.6	26
2022-05-06	Liepaja	L 0-1	48.1	1448	1483	37.29%	18.84%	43.87%	-0.13	-13.5	19
2022-05-06	@ Riga FC	W 1-0	48.1	1483	1448	43.87%	18.84%	37.29%	+0.13	+13.5	25
2022-05-06	Super Nova	W 4-1	41.6	1255	1242	44.11%	18.84%	37.05%	+0.14	+30.9	18
2022-05-06	@ Auda	L 1-4	41.6	1242	1255	37.05%	18.84%	44.11%	-0.14	-30.9	3
2022-05-06	Tukums 2000	W 3-2	49.1	1175	1119	49.90%	18.75%	31.34%	+0.39	+10.4	12
2022-05-06	@ Metta	L 2-3	49.1	1119	1175	31.34%	18.75%	49.90%	-0.39	-10.4	4
2022-05-09	Daugavpils	W 1-0	37.7	1610	1284	74.54%	16.55%	8.91%	+1.94	+3.6	29
2022-05-09	@ Valmiera	L 0-1	37.7	1284	1610	8.91%	16.55%	74.54%	-1.94	-3.6	15
2022-05-10	Auda	W 2-1	53.0	1109	1286	20.49%	18.26%	61.25%	-0.95	+19.6	7
2022-05-10	@ Tukums 2000	L 1-2	53.0	1286	1109	61.25%	18.26%	20.49%	+0.95	-19.6	18
2022-05-10	Riga FC	L 1-4	36.0	1211	1434	16.49%	17.89%	65.62%	-1.22	-15.2	3
2022-05-10	@ Super Nova	W 4-1	36.0	1434	1211	65.62%	17.89%	16.49%	+1.22	+15.2	22
2022-05-10	Spartaks Jurmala	D 0-0	52.8	1496	1177	74.14%	16.63%	9.23%	+1.90	-6.2	26
2022-05-10	@ Liepaja	D 0-0	52.8	1177	1496	9.23%	16.63%	74.14%	-1.90	+6.2	2
2022-05-11	Metta	W 3-1	36.4	1604	1186	79.14%	15.29%	5.57%	+2.48	+3.7	29
2022-05-11	@ FK RFS	L 1-3	36.4	1186	1604	5.57%	15.29%	79.14%	-2.48	-3.6	12
2022-05-14	Liepaja	L 0-4	32.1	1281	1490	17.64%	18.02%	64.34%	-1.14	-25.0	15
2022-05-14	@ Daugavpils	W 4-0	32.1	1490	1281	64.34%	18.02%	17.64%	+1.14	+25.0	29
2022-05-14	Riga FC	L 0-4	28.9	1183	1450	13.43%	17.49%	69.08%	-1.47	-19.3	2
2022-05-14	@ Spartaks Jurmala	W 4-0	28.9	1450	1183	69.08%	17.49%	13.43%	+1.47	+19.3	25
2022-05-14	Super Nova	D 1-1	54.8	1128	1196	32.90%	18.79%	48.31%	-0.32	+1.2	8
2022-05-14	@ Tukums 2000	D 1-1	54.8	1196	1128	48.31%	18.79%	32.90%	+0.32	-1.2	4
2022-05-15	FK RFS	L 0-1	37.2	1266	1608	9.25%	16.64%	74.12%	-1.90	-3.8	18
2022-05-15	@ Auda	W 1-0	37.2	1608	1266	74.12%	16.64%	9.25%	+1.90	+3.8	32
2022-05-15	Valmiera	L 0-3	29.3	1182	1614	5.86%	15.44%	78.70%	-2.42	-6.5	12
2022-05-15	@ Metta	W 3-0	29.3	1614	1182	78.70%	15.44%	5.86%	+2.42	+6.5	32
2022-05-18	Daugavpils	W 2-0	33.5	1469	1256	66.72%	17.78%	15.50%	+1.30	+11.7	28
2022-05-18	@ Riga FC	L 0-2	33.5	1256	1469	15.50%	17.78%	66.72%	-1.30	-11.7	15
2022-05-18	Spartaks Jurmala	L 0-3	39.1	1194	1164	46.47%	18.81%	34.72%	+0.24	-44.2	4
2022-05-18	@ Super Nova	W 3-0	39.1	1164	1194	34.72%	18.81%	46.47%	-0.24	+44.2	5
2022-05-19	Metta	W 1-0	33.0	1515	1176	75.30%	16.37%	8.33%	+2.02	+3.4	32
2022-05-19	@ Liepaja	L 0-1	33.0	1176	1515	8.33%	16.37%	75.30%	-2.02	-3.4	12
2022-05-19	Tukums 2000	W 3-0	27.4	1612	1130	81.63%	14.35%	4.02%	+2.84	+4.3	35
2022-05-19	@ FK RFS	L 0-3	27.4	1130	1612	4.02%	14.35%	81.63%	-2.84	-4.3	8
2022-05-20	Auda	W 2-0	34.3	1620	1263	76.27%	16.14%	7.59%	+2.13	+5.8	35
2022-05-20	@ Valmiera	L 0-2	34.3	1263	1620	7.59%	16.14%	76.27%	-2.13	-5.8	18
2022-05-22	Daugavpils	W 2-0	40.5	1208	1244	37.17%	18.84%	43.99%	-0.14	+29.0	8
2022-05-22	@ Spartaks Jurmala	L 0-2	40.5	1244	1208	43.99%	18.84%	37.17%	+0.14	-29.0	15
2022-05-23	FK RFS	L 0-3	28.3	1150	1616	4.92%	14.94%	80.14%	-2.62	-5.4	4
2022-05-23	@ Super Nova	W 3-0	28.3	1616	1150	80.14%	14.94%	4.92%	+2.62	+5.4	38
2022-05-23	Riga FC	L 1-4	34.2	1172	1481	10.91%	17.03%	72.05%	-1.71	-10.2	12
2022-05-23	@ Metta	W 4-1	34.2	1481	1172	72.05%	17.03%	10.91%	+1.71	+10.2	31
2022-05-24	Liepaja	L 1-2	41.4	1257	1518	13.73%	17.54%	68.73%	-1.44	-5.2	18
2022-05-24	@ Auda	W 2-1	41.4	1518	1257	68.73%	17.54%	13.73%	+1.44	+5.2	35
2022-05-24	Valmiera	L 0-3	27.6	1125	1626	4.11%	14.42%	81.47%	-2.82	-4.5	8
2022-05-24	@ Tukums 2000	W 3-0	27.6	1626	1125	81.47%	14.42%	4.11%	+2.82	+4.5	38
2022-05-27	FK RFS	W 2-0	57.7	1491	1621	25.25%	18.54%	56.20%	-0.69	+36.1	34
2022-05-27	@ Riga FC	L 0-2	57.7	1621	1491	56.20%	18.54%	25.25%	+0.69	-36.1	38
2022-05-28	Auda	L 1-2	46.0	1215	1252	37.02%	18.84%	44.14%	-0.14	-12.6	15
2022-05-28	@ Daugavpils	W 2-1	46.0	1252	1215	44.14%	18.84%	37.02%	+0.14	+12.6	21
2022-05-28	Super Nova	D 1-1	54.8	1162	1145	44.65%	18.84%	36.51%	+0.17	-0.6	13
2022-05-28	@ Metta	D 1-1	54.8	1145	1162	36.51%	18.84%	44.65%	-0.17	+0.6	5
2022-05-28	Valmiera	L 1-3	55.9	1524	1630	27.97%	18.65%	53.38%	-0.55	-17.2	35
2022-05-28	@ Liepaja	W 3-1	55.9	1630	1524	53.38%	18.65%	27.97%	+0.55	+17.2	41
2022-05-29	Tukums 2000	L 1-3	49.6	1237	1121	57.25%	18.50%	24.25%	+0.74	-31.8	8
2022-05-29	@ Spartaks Jurmala	W 3-1	49.6	1121	1237	24.25%	18.50%	57.25%	-0.74	+31.8	11
2022-06-17	Daugavpils	L 2-3	50.7	1161	1202	36.45%	18.83%	44.71%	-0.17	-11.8	13
2022-06-17	@ Metta	W 3-2	50.7	1202	1161	44.71%	18.83%	36.45%	+0.17	+11.8	18
2022-06-17	Spartaks Jurmala	W 5-0	33.6	1264	1206	50.23%	18.74%	31.03%	+0.40	+50.9	24
2022-06-17	@ Auda	L 0-5	33.6	1206	1264	31.03%	18.74%	50.23%	-0.40	-50.9	8
2022-06-18	Liepaja	D 2-2	73.5	1585	1506	52.80%	18.67%	28.52%	+0.52	-1.4	39
2022-06-18	@ FK RFS	D 2-2	73.5	1506	1585	28.52%	18.67%	52.80%	-0.52	+1.4	36
2022-06-18	Riga FC	L 0-1	32.7	1153	1527	7.84%	16.22%	75.94%	-2.09	-3.2	11
2022-06-18	@ Tukums 2000	W 1-0	32.7	1527	1153	75.94%	16.22%	7.84%	+2.09	+3.2	37
2022-06-18	Super Nova	W 1-0	32.6	1648	1146	82.34%	14.04%	3.62%	+2.96	+1.4	44
2022-06-18	@ Valmiera	L 0-1	32.6	1146	1648	3.62%	14.04%	82.34%	-2.96	-1.4	5
2022-06-21	Metta	W 4-2	48.1	1155	1150	42.94%	18.85%	38.21%	+0.10	+20.0	11
2022-06-21	@ Spartaks Jurmala	L 2-4	48.1	1150	1155	38.21%	18.85%	42.94%	-0.10	-20.0	13
2022-06-21	Super Nova	W 1-0	38.5	1214	1144	51.68%	18.71%	29.61%	+0.47	+11.1	21
2022-06-21	@ Daugavpils	L 0-1	38.5	1144	1214	29.61%	18.71%	51.68%	-0.47	-11.1	5
2022-06-22	Auda	W 1-0	38.5	1530	1315	66.87%	17.76%	15.37%	+1.31	+6.1	40
2022-06-22	@ Riga FC	L 0-1	38.5	1315	1530	15.37%	17.76%	66.87%	-1.31	-6.1	24
2022-06-22	FK RFS	W 4-0	50.1	1649	1584	51.07%	18.72%	30.21%	+0.44	+40.3	47
2022-06-22	@ Valmiera	L 0-4	50.1	1584	1649	30.21%	18.72%	51.07%	-0.44	-40.3	39
2022-06-22	Tukums 2000	L 1-2	58.0	1508	1149	76.31%	16.13%	7.56%	+2.13	-24.3	36
2022-06-22	@ Liepaja	W 2-1	58.0	1149	1508	7.56%	16.13%	76.31%	-2.13	+24.3	14
2022-06-26	Daugavpils	L 0-1	40.2	1174	1225	35.00%	18.82%	46.18%	-0.23	-12.8	14
2022-06-26	@ Tukums 2000	W 1-0	40.2	1225	1174	46.18%	18.82%	35.00%	+0.23	+12.8	24
2022-06-26	FK RFS	L 0-2	30.8	1175	1544	8.06%	16.29%	75.64%	-2.06	-6.2	11
2022-06-26	@ Spartaks Jurmala	W 2-0	30.8	1544	1175	75.64%	16.29%	8.06%	+2.06	+6.2	42
2022-06-26	Valmiera	L 0-2	50.6	1536	1689	22.85%	18.42%	58.73%	-0.81	-16.7	40
2022-06-26	@ Riga FC	W 2-0	50.6	1689	1536	58.73%	18.42%	22.85%	+0.81	+16.7	50
2022-06-27	Auda	W 3-0	43.6	1130	1309	20.29%	18.25%	61.46%	-0.97	+57.1	16
2022-06-27	@ Metta	L 0-3	43.6	1309	1130	61.46%	18.25%	20.29%	+0.97	-57.2	24
2022-06-27	Super Nova	W 2-0	29.6	1483	1133	75.90%	16.23%	7.87%	+2.08	+6.0	39
2022-06-27	@ Liepaja	L 0-2	29.6	1133	1483	7.87%	16.23%	75.90%	-2.08	-6.0	5
2022-06-30	Daugavpils	W 4-0	29.7	1550	1238	73.72%	16.72%	9.56%	+1.86	+13.9	45
2022-06-30	@ FK RFS	L 0-4	29.7	1238	1550	9.56%	16.72%	73.72%	-1.86	-13.9	24
2022-06-30	Spartaks Jurmala	L 1-2	63.6	1706	1169	83.49%	13.50%	3.01%	+3.16	-26.1	50
2022-06-30	@ Valmiera	W 2-1	63.6	1169	1706	3.01%	13.50%	83.49%	-3.16	+26.1	14
2022-07-01	Riga FC	D 0-0	60.9	1490	1520	37.94%	18.85%	43.22%	-0.11	+0.4	40
2022-07-01	@ Liepaja	D 0-0	60.9	1520	1490	43.22%	18.85%	37.94%	+0.11	-0.4	41
2022-07-02	Auda	L 1-2	42.4	1127	1252	25.90%	18.57%	55.53%	-0.65	-9.3	5
2022-07-02	@ Super Nova	W 2-1	42.4	1252	1127	55.53%	18.57%	25.90%	+0.65	+9.3	27
2022-07-03	Metta	W 2-0	39.9	1161	1187	38.55%	18.85%	42.61%	-0.08	+28.3	17
2022-07-03	@ Tukums 2000	L 0-2	39.9	1187	1161	42.61%	18.85%	38.55%	+0.08	-28.3	16
2022-07-06	Daugavpils	W 2-0	37.5	1261	1224	47.36%	18.80%	33.84%	+0.28	+23.4	30
2022-07-06	@ Auda	L 0-2	37.5	1224	1261	33.84%	18.80%	47.36%	-0.28	-23.4	24
2022-07-13	Spartaks Jurmala	W 3-0	37.1	1189	1195	41.47%	18.85%	39.68%	+0.04	+38.8	20
2022-07-13	@ Tukums 2000	L 0-3	37.1	1195	1189	39.68%	18.85%	41.47%	-0.04	-38.8	14
2022-07-16	Daugavpils	W 5-1	33.8	1680	1201	81.54%	14.39%	4.07%	+2.83	+4.8	53
2022-07-16	@ Valmiera	L 1-5	33.8	1201	1680	4.07%	14.39%	81.54%	-2.83	-4.8	24
2022-07-16	FK RFS	L 1-3	35.7	1159	1564	6.71%	15.81%	77.48%	-2.27	-4.4	16
2022-07-16	@ Metta	W 3-1	35.7	1564	1159	77.48%	15.81%	6.71%	+2.27	+4.4	48
2022-07-17	Super Nova	W 1-0	31.5	1519	1118	78.39%	15.53%	6.07%	+2.38	+2.4	44
2022-07-17	@ Riga FC	L 0-1	31.5	1118	1519	6.07%	15.53%	78.39%	-2.38	-2.4	5
2022-07-18	Tukums 2000	W 3-0	34.9	1284	1228	49.94%	18.75%	31.31%	+0.39	+31.8	33
2022-07-18	@ Auda	L 0-3	34.9	1228	1284	31.31%	18.75%	49.94%	-0.39	-31.8	20
2022-07-23	Tukums 2000	W 2-1	49.7	1115	1196	31.14%	18.75%	50.11%	-0.40	+16.3	8
2022-07-23	@ Super Nova	L 1-2	49.7	1196	1115	50.11%	18.75%	31.14%	+0.40	-16.3	20
2022-07-24	Auda	D 0-0	56.9	1568	1316	69.73%	17.40%	12.87%	+1.52	-5.3	49
2022-07-24	@ FK RFS	D 0-0	56.9	1316	1568	12.87%	17.40%	69.73%	-1.52	+5.3	34
2022-07-24	Metta	W 6-1	30.9	1685	1154	83.28%	13.60%	3.12%	+3.12	+4.4	56
2022-07-24	@ Valmiera	L 1-6	30.9	1154	1685	3.12%	13.60%	83.28%	-3.12	-4.4	16
2022-07-24	Spartaks Jurmala	W 2-1	37.5	1522	1156	76.69%	16.03%	7.28%	+2.17	+2.8	47
2022-07-24	@ Riga FC	L 1-2	37.5	1156	1522	7.28%	16.03%	76.69%	-2.17	-2.8	14
2022-07-30	FK RFS	L 0-2	30.9	1180	1563	7.52%	16.11%	76.38%	-2.14	-5.7	20
2022-07-30	@ Tukums 2000	W 2-0	30.9	1563	1180	76.38%	16.11%	7.52%	+2.14	+5.7	52
2022-07-30	Super Nova	L 2-3	53.3	1153	1132	45.26%	18.83%	35.91%	+0.19	-14.1	14
2022-07-30	@ Spartaks Jurmala	W 3-2	53.3	1132	1153	35.91%	18.83%	45.26%	-0.19	+14.1	11
2022-07-31	Liepaja	D 2-2	62.0	1150	1490	9.31%	16.65%	74.04%	-1.89	+4.1	17
2022-07-31	@ Metta	D 2-2	62.0	1490	1150	74.04%	16.65%	9.31%	+1.89	-4.1	41
2022-08-01	Valmiera	D 1-1	65.8	1322	1689	8.11%	16.31%	75.58%	-2.05	+5.7	35
2022-08-01	@ Auda	D 1-1	65.8	1689	1322	75.58%	16.31%	8.11%	+2.05	-5.7	57
2022-08-04	Daugavpils	W 2-1	38.9	1486	1196	72.36%	16.98%	10.66%	+1.74	+4.1	44
2022-08-04	@ Liepaja	L 1-2	38.9	1196	1486	10.66%	16.98%	72.36%	-1.74	-4.1	24
2022-08-06	Tukums 2000	W 6-1	31.6	1684	1174	82.58%	13.93%	3.49%	+3.00	+5.0	60
2022-08-06	@ Valmiera	L 1-6	31.6	1174	1684	3.49%	13.93%	82.58%	-3.00	-5.0	20
2022-08-07	Auda	W 1-0	39.2	1490	1327	62.10%	18.20%	19.70%	+1.00	+7.7	47
2022-08-07	@ Liepaja	L 0-1	39.2	1327	1490	19.70%	18.20%	62.10%	-1.00	-7.7	35
2022-08-07	Metta	W 3-2	42.5	1524	1154	76.93%	15.96%	7.10%	+2.20	+2.6	50
2022-08-07	@ Riga FC	L 2-3	42.5	1154	1524	7.10%	15.96%	76.93%	-2.20	-2.6	17
2022-08-07	Super Nova	L 2-3	64.4	1568	1146	79.32%	15.23%	5.45%	+2.50	-23.8	52
2022-08-07	@ FK RFS	W 3-2	64.4	1146	1568	5.45%	15.23%	79.32%	-2.50	+23.8	14
2022-08-08	Daugavpils	W 2-1	48.6	1139	1192	34.81%	18.82%	46.37%	-0.24	+15.2	17
2022-08-08	@ Spartaks Jurmala	L 1-2	48.6	1192	1139	46.37%	18.82%	34.81%	+0.24	-15.2	24
2022-08-14	Liepaja	L 2-3	43.0	1154	1498	9.16%	16.61%	74.23%	-1.91	-3.3	17
2022-08-14	@ Spartaks Jurmala	W 3-2	43.0	1498	1154	74.23%	16.61%	9.16%	+1.91	+3.3	50
2022-08-15	Riga FC	L 0-4	28.0	1177	1527	8.85%	16.53%	74.62%	-1.95	-12.8	24
2022-08-15	@ Daugavpils	W 4-0	28.0	1527	1177	74.62%	16.53%	8.85%	+1.95	+12.8	53
2022-08-20	Daugavpils	W 1-0	41.0	1169	1164	43.03%	18.85%	38.12%	+0.10	+13.7	17
2022-08-20	@ Super Nova	L 0-1	41.0	1164	1169	38.12%	18.85%	43.03%	-0.10	-13.7	24
2022-08-20	Liepaja	W 2-1	57.5	1169	1501	9.71%	16.76%	73.53%	-1.84	+23.5	23
2022-08-20	@ Tukums 2000	L 1-2	57.5	1501	1169	73.53%	16.76%	9.71%	+1.84	-23.5	50
2022-08-20	Spartaks Jurmala	D 0-0	50.6	1151	1151	42.28%	18.85%	38.87%	+0.07	-0.3	18
2022-08-20	@ Metta	D 0-0	50.6	1151	1151	38.87%	18.85%	42.28%	-0.07	+0.3	18
2022-08-21	Riga FC	L 0-2	36.9	1320	1540	16.76%	17.92%	65.32%	-1.20	-12.6	35
2022-08-21	@ Auda	W 2-0	36.9	1540	1320	65.32%	17.92%	16.76%	+1.20	+12.6	56
2022-08-21	Valmiera	D 2-2	77.2	1545	1689	23.81%	18.47%	57.72%	-0.76	+2.0	53
2022-08-21	@ FK RFS	D 2-2	77.2	1689	1545	57.72%	18.47%	23.81%	+0.76	-2.0	61
2022-08-27	Metta	W 3-2	51.4	1150	1151	42.12%	18.85%	39.03%	+0.06	+12.5	27
2022-08-27	@ Daugavpils	L 2-3	51.4	1151	1150	39.03%	18.85%	42.12%	-0.06	-12.5	18
2022-08-27	Super Nova	W 7-0	29.8	1687	1183	82.38%	14.02%	3.60%	+2.97	+8.6	64
2022-08-27	@ Valmiera	L 0-7	29.8	1183	1687	3.60%	14.02%	82.38%	-2.97	-8.6	17
2022-08-28	Auda	L 0-1	36.4	1151	1307	22.57%	18.40%	59.03%	-0.83	-8.7	18
2022-08-28	@ Spartaks Jurmala	W 1-0	36.4	1307	1151	59.03%	18.40%	22.57%	+0.83	+8.8	38
2022-08-28	Tukums 2000	W 3-1	36.4	1552	1193	76.38%	16.11%	7.51%	+2.14	+5.0	59
2022-08-28	@ Riga FC	L 1-3	36.4	1193	1552	7.51%	16.11%	76.38%	-2.14	-5.0	23
2022-08-29	FK RFS	L 1-2	55.2	1478	1547	32.66%	18.78%	48.56%	-0.33	-11.4	50
2022-08-29	@ Liepaja	W 2-1	55.2	1547	1478	48.56%	18.78%	32.66%	+0.33	+11.4	56
2022-09-03	Tukums 2000	L 1-3	43.3	1142	1188	35.84%	18.83%	45.33%	-0.19	-21.3	18
2022-09-03	@ Spartaks Jurmala	W 3-1	43.3	1188	1142	45.33%	18.83%	35.84%	+0.19	+21.2	26
2022-09-04	Liepaja	L 0-1	64.9	1695	1466	67.99%	17.63%	14.38%	+1.38	-23.0	64
2022-09-04	@ Valmiera	W 1-0	64.9	1466	1695	14.38%	17.63%	67.99%	-1.38	+23.0	53
2022-09-04	Metta	L 0-3	39.3	1175	1138	47.25%	18.80%	33.94%	+0.27	-44.8	17
2022-09-04	@ Super Nova	W 3-0	39.3	1138	1175	33.94%	18.80%	47.25%	-0.27	+44.8	21
2022-09-04	Riga FC	D 1-1	68.7	1558	1557	42.32%	18.85%	38.83%	+0.07	-0.3	57
2022-09-04	@ FK RFS	D 1-1	68.7	1557	1558	38.83%	18.85%	42.32%	-0.07	+0.3	60
2022-09-05	Daugavpils	W 2-0	33.3	1316	1163	61.17%	18.27%	20.56%	+0.95	+15.2	41
2022-09-05	@ Auda	L 0-2	33.3	1163	1316	20.56%	18.27%	61.17%	-0.95	-15.2	27
2022-09-10	Daugavpils	D 0-0	50.7	1209	1147	50.60%	18.74%	30.66%	+0.42	-1.7	27
2022-09-10	@ Tukums 2000	D 0-0	50.7	1147	1209	30.66%	18.74%	50.60%	-0.42	+1.7	28
2022-09-10	Metta	W 2-1	41.2	1331	1183	60.61%	18.30%	21.09%	+0.92	+7.8	44
2022-09-10	@ Auda	L 1-2	41.2	1183	1331	21.09%	18.30%	60.61%	-0.92	-7.8	21
2022-09-11	Liepaja	D 2-2	61.9	1130	1489	8.45%	16.41%	75.13%	-2.00	+4.2	18
2022-09-11	@ Super Nova	D 2-2	61.9	1489	1130	75.13%	16.41%	8.45%	+2.00	-4.2	54
2022-09-11	Riga FC	W 3-1	56.6	1672	1558	57.01%	18.51%	24.49%	+0.73	+15.4	67
2022-09-11	@ Valmiera	L 1-3	56.6	1558	1672	24.49%	18.51%	57.01%	-0.73	-15.4	60
2022-09-12	Spartaks Jurmala	W 3-0	27.0	1558	1121	79.90%	15.03%	5.08%	+2.58	+5.6	60
2022-09-12	@ FK RFS	L 0-3	27.0	1121	1558	5.08%	15.03%	79.90%	-2.58	-5.6	18
2022-09-16	Liepaja	W 2-0	47.3	1542	1485	50.05%	18.75%	31.20%	+0.40	+21.9	63
2022-09-16	@ Riga FC	L 0-2	47.3	1485	1542	31.20%	18.75%	50.05%	-0.40	-21.8	54
2022-09-17	Tukums 2000	L 1-2	46.1	1175	1207	37.71%	18.84%	43.44%	-0.12	-12.8	21
2022-09-17	@ Metta	W 2-1	46.1	1207	1175	43.44%	18.84%	37.71%	+0.12	+12.8	30
2022-09-17	Valmiera	L 1-6	29.8	1116	1687	2.84%	13.32%	83.83%	-3.23	-4.0	18
2022-09-17	@ Spartaks Jurmala	W 6-1	29.8	1687	1116	83.83%	13.32%	2.84%	+3.23	+4.0	70
2022-09-18	Super Nova	W 3-0	29.9	1339	1134	65.99%	17.86%	16.15%	+1.25	+17.6	47
2022-09-18	@ Auda	L 0-3	29.9	1134	1339	16.15%	17.86%	65.99%	-1.25	-17.6	18
2022-09-27	FK RFS	L 1-3	35.4	1149	1563	6.41%	15.68%	77.91%	-2.32	-4.2	28
2022-09-27	@ Daugavpils	W 3-1	35.4	1563	1149	77.91%	15.68%	6.41%	+2.32	+4.2	63
2022-09-30	Riga FC	L 1-4	32.2	1116	1564	5.40%	15.20%	79.40%	-2.51	-5.0	18
2022-09-30	@ Super Nova	W 4-1	32.2	1564	1116	79.40%	15.20%	5.40%	+2.51	+5.0	66
2022-10-01	Auda	W 1-0	47.2	1220	1356	24.62%	18.51%	56.87%	-0.72	+19.4	33
2022-10-01	@ Tukums 2000	L 0-1	47.2	1356	1220	56.87%	18.51%	24.62%	+0.72	-19.4	47
2022-10-01	Metta	W 6-0	27.4	1568	1163	78.54%	15.49%	5.97%	+2.40	+12.6	66
2022-10-01	@ FK RFS	L 0-6	27.4	1163	1568	5.97%	15.49%	78.54%	-2.40	-12.6	21
2022-10-01	Spartaks Jurmala	W 5-2	35.4	1463	1112	75.96%	16.22%	7.83%	+2.09	+6.3	57
2022-10-01	@ Liepaja	L 2-5	35.4	1112	1463	7.83%	16.22%	75.96%	-2.09	-6.3	18
2022-10-02	Daugavpils	D 1-1	60.8	1691	1145	83.77%	13.36%	2.88%	+3.21	-6.9	71
2022-10-02	@ Valmiera	D 1-1	60.8	1145	1691	2.88%	13.36%	83.77%	-3.21	+6.9	29
2022-10-08	Riga FC	L 1-3	34.3	1105	1569	4.97%	14.97%	80.06%	-2.60	-3.2	18
2022-10-08	@ Spartaks Jurmala	W 3-1	34.3	1569	1105	80.06%	14.97%	4.97%	+2.60	+3.2	69
2022-10-08	Super Nova	W 2-0	33.9	1239	1111	58.53%	18.43%	23.05%	+0.80	+16.8	36
2022-10-08	@ Tukums 2000	L 0-2	33.9	1111	1239	23.05%	18.43%	58.53%	-0.80	-16.8	18
2022-10-09	FK RFS	D 1-1	62.0	1337	1580	15.02%	17.72%	67.26%	-1.33	+4.3	48
2022-10-09	@ Auda	D 1-1	62.0	1580	1337	67.26%	17.72%	15.02%	+1.33	-4.3	67
2022-10-09	Liepaja	L 2-3	43.3	1152	1469	10.42%	16.93%	72.65%	-1.76	-3.8	29
2022-10-09	@ Daugavpils	W 3-2	43.3	1469	1152	72.65%	16.93%	10.42%	+1.76	+3.8	60
2022-10-09	Valmiera	L 1-4	34.1	1150	1685	3.45%	13.90%	82.64%	-3.01	-3.1	21
2022-10-09	@ Metta	W 4-1	34.1	1685	1150	82.64%	13.90%	3.45%	+3.01	+3.1	74
2022-10-15	Auda	W 2-1	47.3	1688	1341	75.68%	16.28%	8.04%	+2.06	+3.1	77
2022-10-15	@ Valmiera	L 1-2	47.3	1341	1688	8.04%	16.28%	75.68%	-2.06	-3.1	48
2022-10-15	Metta	W 5-1	31.2	1473	1147	74.57%	16.54%	8.89%	+1.95	+10.8	63
2022-10-15	@ Liepaja	L 1-5	31.2	1147	1473	8.89%	16.54%	74.57%	-1.95	-10.8	21
2022-10-16	Daugavpils	W 4-0	26.8	1572	1148	79.39%	15.21%	5.40%	+2.51	+7.8	72
2022-10-16	@ Riga FC	L 0-4	26.8	1148	1572	5.40%	15.21%	79.39%	-2.51	-7.8	29
2022-10-16	Spartaks Jurmala	L 1-3	44.8	1094	1102	41.17%	18.85%	39.98%	+0.02	-23.8	18
2022-10-16	@ Super Nova	W 3-1	44.8	1102	1094	39.98%	18.85%	41.17%	-0.02	+23.8	21
2022-10-16	Tukums 2000	D 2-2	65.2	1576	1256	74.18%	16.62%	9.19%	+1.91	-4.1	68
2022-10-16	@ FK RFS	D 2-2	65.2	1256	1576	9.19%	16.62%	74.18%	-1.91	+4.1	37
2022-10-22	Riga FC	L 0-2	29.7	1136	1580	5.51%	15.26%	79.23%	-2.49	-4.2	21
2022-10-22	@ Metta	W 2-0	29.7	1580	1136	79.23%	15.26%	5.51%	+2.49	+4.2	75
2022-10-22	Spartaks Jurmala	D 1-1	54.7	1140	1126	44.27%	18.84%	36.89%	+0.15	-0.5	30
2022-10-22	@ Daugavpils	D 1-1	54.7	1126	1140	36.89%	18.84%	44.27%	-0.15	+0.6	22
2022-10-23	FK RFS	L 0-4	25.2	1071	1572	4.11%	14.42%	81.48%	-2.82	-5.8	18
2022-10-23	@ Super Nova	W 4-0	25.2	1572	1071	81.48%	14.42%	4.11%	+2.82	+5.8	71
2022-10-23	Liepaja	L 1-2	45.7	1338	1484	23.62%	18.46%	57.92%	-0.77	-8.6	48
2022-10-23	@ Auda	W 2-1	45.7	1484	1338	57.92%	18.46%	23.62%	+0.77	+8.6	66
2022-10-23	Valmiera	D 1-1	63.9	1260	1691	5.90%	15.45%	78.65%	-2.41	+6.2	38
2022-10-23	@ Tukums 2000	D 1-1	63.9	1691	1260	78.65%	15.45%	5.90%	+2.41	-6.2	78
2022-10-29	Auda	W 2-0	37.2	1584	1330	69.94%	17.37%	12.69%	+1.53	+9.7	78
2022-10-29	@ Riga FC	L 0-2	37.2	1330	1584	12.69%	17.37%	69.94%	-1.53	-9.7	48
2022-10-29	Metta	W 2-0	38.9	1126	1132	41.41%	18.85%	39.73%	+0.03	+26.7	25
2022-10-29	@ Spartaks Jurmala	L 0-2	38.9	1132	1126	39.73%	18.85%	41.41%	-0.03	-26.7	21
2022-10-29	Super Nova	D 1-1	54.8	1140	1065	52.28%	18.69%	29.03%	+0.50	-1.8	31
2022-10-29	@ Daugavpils	D 1-1	54.8	1065	1140	29.03%	18.69%	52.28%	-0.50	+1.8	19
2022-10-30	FK RFS	D 1-1	72.3	1685	1577	56.17%	18.55%	25.29%	+0.68	-2.4	79
2022-10-30	@ Valmiera	D 1-1	72.3	1577	1685	25.29%	18.55%	56.17%	-0.68	+2.4	72
2022-10-30	Tukums 2000	W 4-1	36.9	1493	1267	67.76%	17.66%	14.58%	+1.37	+13.5	69
2022-10-30	@ Liepaja	L 1-4	36.9	1267	1493	14.58%	17.66%	67.76%	-1.37	-13.5	38
2022-11-06	Daugavpils	L 2-3	50.9	1105	1138	37.60%	18.84%	43.55%	-0.12	-12.1	21
2022-11-06	@ Metta	W 3-2	50.9	1138	1105	43.55%	18.84%	37.60%	+0.12	+12.1	34
2022-11-06	Liepaja	D 0-0	63.7	1580	1506	52.16%	18.69%	29.15%	+0.49	-2.0	73
2022-11-06	@ FK RFS	D 0-0	63.7	1506	1580	29.15%	18.69%	52.16%	-0.49	+2.0	70
2022-11-06	Riga FC	L 0-2	33.9	1253	1594	9.28%	16.65%	74.08%	-1.90	-7.1	38
2022-11-06	@ Tukums 2000	W 2-0	33.9	1594	1253	74.08%	16.65%	9.28%	+1.90	+7.1	81
2022-11-06	Spartaks Jurmala	L 0-1	48.4	1320	1153	62.54%	18.17%	19.30%	+1.03	-21.2	48
2022-11-06	@ Auda	W 1-0	48.4	1153	1320	19.30%	18.17%	62.54%	-1.03	+21.2	28
2022-11-06	Valmiera	L 1-6	28.4	1067	1682	2.26%	12.64%	85.10%	-3.48	-3.2	19
2022-11-06	@ Super Nova	W 6-1	28.4	1682	1067	85.10%	12.64%	2.26%	+3.48	+3.2	82
2022-11-12	Auda	L 0-1	36.7	1150	1299	23.30%	18.44%	58.26%	-0.79	-9.0	34
2022-11-12	@ Daugavpils	W 1-0	36.7	1299	1150	58.26%	18.44%	23.30%	+0.79	+9.0	51
2022-11-12	FK RFS	L 0-1	59.0	1601	1578	45.47%	18.83%	35.70%	+0.20	-15.8	81
2022-11-12	@ Riga FC	W 1-0	59.0	1578	1601	35.70%	18.83%	45.47%	-0.20	+15.8	76
2022-11-12	Spartaks Jurmala	L 1-2	50.3	1246	1174	51.89%	18.70%	29.41%	+0.48	-16.8	38
2022-11-12	@ Tukums 2000	W 2-1	50.3	1174	1246	29.41%	18.70%	51.89%	-0.48	+16.8	31
2022-11-12	Super Nova	D 1-1	54.7	1093	1064	46.37%	18.82%	34.81%	+0.24	-0.9	22
2022-11-12	@ Metta	D 1-1	54.7	1064	1093	34.81%	18.82%	46.37%	-0.24	+0.9	20
2022-11-12	Valmiera	L 0-2	49.1	1508	1685	20.49%	18.26%	61.25%	-0.95	-15.1	70
2022-11-12	@ Liepaja	W 2-0	49.1	1685	1508	61.25%	18.26%	20.49%	+0.95	+15.1	85

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	2022-06-30	3.01%	Spartaks Jurmala	1169	2	@ Valmiera	1706	1
2	2022-08-07	5.45%	Super Nova	1146	3	@ FK RFS	1568	2
3	2022-06-22	7.56%	Tukums 2000	1149	2	@ Liepaja	1508	1
4	2022-08-20	9.71%	@ Tukums 2000	1169	2	Liepaja	1501	1
5	2022-09-04	14.38%	Liepaja	1466	1	@ Valmiera	1695	0
6	2022-04-07	19.00%	Tukums 2000	1151	1	@ Super Nova	1321	0
7	2022-11-06	19.30%	Spartaks Jurmala	1153	1	@ Auda	1320	0
8	2022-06-27	20.29%	@ Metta	1130	3	Auda	1309	0
9	2022-05-10	20.49%	@ Tukums 2000	1109	2	Auda	1286	1
10	2022-05-29	24.25%	Tukums 2000	1121	3	@ Spartaks Jurmala	1237	1
11	2022-10-01	24.62%	@ Tukums 2000	1220	1	Auda	1356	0
12	2022-05-27	25.25%	@ Riga FC	1491	2	FK RFS	1621	0
13	2022-04-28	25.50%	Metta	1167	1	@ Super Nova	1272	0
14	2022-04-19	25.66%	Valmiera	1495	3	@ FK RFS	1599	1
15	2022-11-12	29.41%	Spartaks Jurmala	1174	2	@ Tukums 2000	1246	1
16	2022-07-23	31.14%	@ Super Nova	1115	2	Tukums 2000	1196	1
17	2022-04-20	31.66%	@ Metta	1155	2	Spartaks Jurmala	1232	0
18	2022-03-12	33.50%	@ Riga FC	1420	2	Valmiera	1483	1
19	2022-09-04	33.94%	Metta	1138	3	@ Super Nova	1175	0
20	2022-05-18	34.72%	Spartaks Jurmala	1164	3	@ Super Nova	1194	0
21	2022-08-08	34.81%	@ Spartaks Jurmala	1139	2	Daugavpils	1192	1
22	2022-11-12	35.70%	FK RFS	1578	1	@ Riga FC	1601	0
23	2022-07-30	35.91%	Super Nova	1132	3	@ Spartaks Jurmala	1153	2
24	2022-05-22	37.17%	@ Spartaks Jurmala	1208	2	Daugavpils	1244	0
25	2022-07-03	38.55%	@ Tukums 2000	1161	2	Metta	1187	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	2022-06-27	57.15	@ Metta	3	1130	20.29%	Auda	0	1309	61.46%	18.25%
2	2022-06-17	50.86	@ Auda	5	1264	50.23%	Spartaks Jurmala	0	1206	31.03%	18.74%
3	2022-09-04	44.85	Metta	3	1138	33.94%	@ Super Nova	0	1175	47.25%	18.80%
4	2022-05-18	44.21	Spartaks Jurmala	3	1164	34.72%	@ Super Nova	0	1194	46.47%	18.81%
5	2022-06-22	40.34	@ Valmiera	4	1649	51.07%	FK RFS	0	1584	30.21%	18.72%
6	2022-07-13	38.76	@ Tukums 2000	3	1189	41.47%	Spartaks Jurmala	0	1195	39.68%	18.85%
7	2022-05-27	36.13	@ Riga FC	2	1491	25.25%	FK RFS	0	1621	56.20%	18.54%
8	2022-04-27	33.70	@ Valmiera	3	1545	47.70%	Liepaja	0	1505	33.50%	18.80%
9	2022-04-20	32.22	@ Metta	2	1155	31.66%	Spartaks Jurmala	0	1232	49.58%	18.76%
10	2022-05-29	31.84	Tukums 2000	3	1121	24.25%	@ Spartaks Jurmala	1	1237	57.25%	18.50%
11	2022-07-18	31.83	@ Auda	3	1284	49.94%	Tukums 2000	0	1228	31.31%	18.75%
12	2022-04-19	31.07	Valmiera	3	1495	25.66%	@ FK RFS	1	1599	55.78%	18.56%
13	2022-05-06	30.89	@ Auda	4	1255	44.11%	Super Nova	1	1242	37.05%	18.84%
14	2022-05-22	29.05	@ Spartaks Jurmala	2	1208	37.17%	Daugavpils	0	1244	43.99%	18.84%
15	2022-07-03	28.28	@ Tukums 2000	2	1161	38.55%	Metta	0	1187	42.61%	18.85%
16	2022-04-15	28.02	@ Daugavpils	2	1237	39.04%	Spartaks Jurmala	0	1260	42.11%	18.85%
17	2022-05-01	26.81	@ Valmiera	3	1579	55.80%	Riga FC	0	1475	25.63%	18.56%
18	2022-10-29	26.72	@ Spartaks Jurmala	2	1126	41.41%	Metta	0	1132	39.73%	18.85%
19	2022-06-30	26.07	Spartaks Jurmala	2	1169	3.01%	@ Valmiera	1	1706	83.49%	13.50%
20	2022-05-14	25.02	Liepaja	4	1490	64.34%	@ Daugavpils	0	1281	17.64%	18.02%
21	2022-04-11	24.44	FK RFS	10	1567	76.96%	@ Tukums 2000	0	1172	7.09%	15.95%
22	2022-06-22	24.29	Tukums 2000	2	1149	7.56%	@ Liepaja	1	1508	76.31%	16.13%
23	2022-08-07	23.83	Super Nova	3	1146	5.45%	@ FK RFS	2	1568	79.32%	15.23%
24	2022-10-16	23.81	Spartaks Jurmala	3	1102	39.98%	@ Super Nova	1	1094	41.17%	18.85%
25	2022-08-20	23.46	@ Tukums 2000	2	1169	9.71%	Liepaja	1	1501	73.53%	16.76%

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	2022-08-21	77.2	@ FK RFS	2	1545	23.81%	Valmiera	2	1689	57.72%	18.47%
2	2022-06-18	73.5	@ FK RFS	2	1585	52.80%	Liepaja	2	1506	28.52%	18.67%
3	2022-10-30	72.3	@ Valmiera	1	1685	56.17%	FK RFS	1	1577	25.29%	18.55%
4	2022-09-04	68.7	@ FK RFS	1	1558	42.32%	Riga FC	1	1557	38.83%	18.85%
5	2022-08-01	65.8	@ Auda	1	1322	8.11%	Valmiera	1	1689	75.58%	16.31%
6	2022-10-16	65.2	@ FK RFS	2	1576	74.18%	Tukums 2000	2	1256	9.19%	16.62%
7	2022-09-04	64.9	Liepaja	1	1466	14.38%	@ Valmiera	0	1695	67.99%	17.63%
8	2022-08-07	64.4	Super Nova	3	1146	5.45%	@ FK RFS	2	1568	79.32%	15.23%
9	2022-10-23	63.9	@ Tukums 2000	1	1260	5.90%	Valmiera	1	1691	78.65%	15.45%
10	2022-11-06	63.7	@ FK RFS	0	1580	52.16%	Liepaja	0	1506	29.15%	18.69%
11	2022-06-30	63.6	Spartaks Jurmala	2	1169	3.01%	@ Valmiera	1	1706	83.49%	13.50%
12	2022-04-23	63.2	FK RFS	3	1568	46.14%	@ Liepaja	2	1517	35.04%	18.82%
13	2022-04-19	62.4	Valmiera	3	1495	25.66%	@ FK RFS	1	1599	55.78%	18.56%
14	2022-07-31	62.0	@ Metta	2	1150	9.31%	Liepaja	2	1490	74.04%	16.65%
15	2022-10-09	62.0	@ Auda	1	1337	15.02%	FK RFS	1	1580	67.26%	17.72%
16	2022-09-11	61.9	@ Super Nova	2	1130	8.45%	Liepaja	2	1489	75.13%	16.41%
17	2022-07-01	60.9	@ Liepaja	0	1490	37.94%	Riga FC	0	1520	43.22%	18.85%
18	2022-10-02	60.8	@ Valmiera	1	1691	83.77%	Daugavpils	1	1145	2.88%	13.36%
19	2022-03-19	60.2	@ Tukums 2000	2	1162	40.97%	Metta	2	1171	40.17%	18.85%
20	2022-11-12	59.0	FK RFS	1	1578	35.70%	@ Riga FC	0	1601	45.47%	18.83%
21	2022-04-02	58.2	@ Metta	1	1171	6.62%	FK RFS	1	1579	77.61%	15.77%
22	2022-06-22	58.0	Tukums 2000	2	1149	7.56%	@ Liepaja	1	1508	76.31%	16.13%
23	2022-04-14	57.8	@ Liepaja	1	1515	71.81%	Auda	1	1233	11.12%	17.08%
24	2022-05-27	57.7	@ Riga FC	2	1491	25.25%	FK RFS	0	1621	56.20%	18.54%
25	2022-08-20	57.5	@ Tukums 2000	2	1169	9.71%	Liepaja	1	1501	73.53%	16.76%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2022-10-23	25.2	FK RFS	4	1572	81.48%	@ Super Nova	0	1071	4.11%	14.42%
2	2022-10-16	26.8	@ Riga FC	4	1572	79.39%	Daugavpils	0	1148	5.40%	15.21%
3	2022-09-12	27.0	@ FK RFS	3	1558	79.90%	Spartaks Jurmala	0	1121	5.08%	15.03%
4	2022-05-19	27.4	@ FK RFS	3	1612	81.63%	Tukums 2000	0	1130	4.02%	14.35%
5	2022-10-01	27.4	@ FK RFS	6	1568	78.54%	Metta	0	1163	5.97%	15.49%
6	2022-05-24	27.6	Valmiera	3	1626	81.47%	@ Tukums 2000	0	1125	4.11%	14.42%
7	2022-04-14	27.9	@ Riga FC	4	1459	72.32%	Metta	0	1170	10.70%	16.99%
8	2022-04-15	28.0	@ Valmiera	3	1486	75.24%	Tukums 2000	0	1148	8.37%	16.39%
9	2022-08-15	28.0	Riga FC	4	1527	74.62%	@ Daugavpils	0	1177	8.85%	16.53%
10	2022-05-23	28.3	FK RFS	3	1616	80.14%	@ Super Nova	0	1150	4.92%	14.94%
11	2022-11-06	28.4	Valmiera	6	1682	85.10%	@ Super Nova	1	1067	2.26%	12.64%
12	2022-05-14	28.9	Riga FC	4	1450	69.08%	@ Spartaks Jurmala	0	1183	13.43%	17.49%
13	2022-04-11	29.1	FK RFS	10	1567	76.96%	@ Tukums 2000	0	1172	7.09%	15.95%
14	2022-05-15	29.3	Valmiera	3	1614	78.70%	@ Metta	0	1182	5.86%	15.44%
15	2022-06-27	29.6	@ Liepaja	2	1483	75.90%	Super Nova	0	1133	7.87%	16.23%
16	2022-06-30	29.7	@ FK RFS	4	1550	73.72%	Daugavpils	0	1238	9.56%	16.72%
17	2022-10-22	29.7	Riga FC	2	1580	79.23%	@ Metta	0	1136	5.51%	15.26%
18	2022-08-27	29.8	@ Valmiera	7	1687	82.38%	Super Nova	0	1183	3.60%	14.02%
19	2022-09-17	29.8	Valmiera	6	1687	83.83%	@ Spartaks Jurmala	1	1116	2.84%	13.32%
20	2022-09-18	29.9	@ Auda	3	1339	65.99%	Super Nova	0	1134	16.15%	17.86%
21	2022-03-19	30.6	@ FK RFS	4	1565	73.38%	Daugavpils	0	1259	9.83%	16.79%
22	2022-06-26	30.8	FK RFS	2	1544	75.64%	@ Spartaks Jurmala	0	1175	8.06%	16.29%
23	2022-05-01	30.9	@ FK RFS	2	1589	78.44%	Spartaks Jurmala	0	1187	6.04%	15.52%
24	2022-07-24	30.9	@ Valmiera	6	1685	83.28%	Metta	1	1154	3.12%	13.60%
25	2022-07-30	30.9	FK RFS	2	1563	76.38%	@ Tukums 2000	0	1180	7.52%	16.11%