2012 Virsliga Season

180 games

Final

Champion

Daugava

78 points

Relegated

No relegation

Biggest Overachiever

Daugava

14.52 points above expected

78 points · 63.48 expected points

Biggest Disappointment

Metta

8.36 points below expected

29 points · 37.36 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	Daugava	36	23	9	4	78	64	25	+39	63.48	+14.52
2	Skonto	36	21	11	4	74	58	22	+36	69.95	+4.05
3	Ventspils	36	23	5	8	74	63	22	+41	70.15	+3.85
4	Liepajas Metalurgs	36	21	7	8	70	60	33	+27	69.92	+0.08
5	Spartaks Jurmala	36	13	10	13	49	61	56	+5	50.57	-1.57
6	Jurmala	36	10	9	17	39	47	49	-2	47.00	-8.00
7	Jelgava	36	7	10	19	31	32	56	-24	36.25	-5.25
8	Metta	36	7	8	21	29	39	82	-43	37.36	-8.36
9	Daugava Riga	36	5	12	19	27	42	79	-37	28.78	-1.78
10	FB Gulbene	36	5	9	22	24	28	70	-42	26.98	-2.98

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	Daugava	78	63.48	+14.52
2	Skonto	74	69.95	+4.05
3	Ventspils	74	70.15	+3.85
4	Liepajas Metalurgs	70	69.92	+0.08
5	Spartaks Jurmala	49	50.57	-1.57

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Metta	29	37.36	-8.36
2	Jurmala	39	47.00	-8.00
3	Jelgava	31	36.25	-5.25
4	FB Gulbene	24	26.98	-2.98
5	Daugava Riga	27	28.78	-1.78

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	Spartaks Jurmala	5	Apr 14 – May 2	1 in 90
2	FB Gulbene	3	May 13 – May 26	1 in 79
3	Daugava	6	Jun 26 – Aug 4	1 in 52
4	Liepajas Metalurgs	6	Sep 15 – Oct 3	1 in 47
5	Daugava Riga	2	Mar 31 – Apr 7	1 in 23

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Jelgava	4	May 16 – Jun 16	1 in 60
2	Jurmala	4	Sep 15 – Sep 30	1 in 39
3	Metta	5	Aug 4 – Aug 22	1 in 19
4	Ventspils	2	May 6 – May 13	1 in 19
5	Liepajas Metalurgs	2	Oct 6 – Oct 20	1 in 9

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Spartaks Jurmala	12	Apr 14 – Jun 20	1 in 344
2	Skonto	13	May 17 – Aug 11	1 in 30
3	Daugava	11	Jun 26 – Sep 1	1 in 26
4	Liepajas Metalurgs	12	Aug 8 – Oct 3	1 in 25
5	FB Gulbene	4	May 6 – May 26	1 in 14

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Jurmala	13	May 2 – Jul 29	1 in 195
2	Daugava Riga	18	Jun 7 – Sep 26	1 in 51
3	Metta	8	Mar 25 – May 2	1 in 43
4	FB Gulbene	15	Jun 7 – Sep 9	1 in 20
5	Spartaks Jurmala	4	Jun 20 – Jul 14	1 in 16

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
Daugava	1435	78	+17	11	9.3	+1.7
Skonto	1459	74	+19	13	11.1	+1.9
Ventspils	1445	74	+16	13	10.6	+2.4
Liepajas Metalurgs	1436	70	-25	6	10.3	-4.3
Spartaks Jurmala	1273	49	+16	9	9.1	-0.1
Jurmala	1232	39	-5	6	6.3	-0.3
Jelgava	1146	31	-3	3	3.4	-0.4
Metta	1141	29	-16	4	3.4	+0.6
Daugava Riga	1069	27	-11	2	3.3	-1.3
FB Gulbene	1064	24	-9	1	3.2	-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	DAU	DR	FG	JEL	JUR	LM	MET	SKO	SJ	VEN
Daugava	—	4-0-0 9.14	4-0-0 9.19	3-1-0 8.45	3-0-1 7.43	1-2-1 4.84	3-1-0 8.17	0-3-1 4.81	3-1-0 7.06	2-1-1 4.73
Daugava Riga	0-0-4 2.15	—	0-3-1 5.43	2-1-1 4.23	1-2-1 3.36	0-1-3 1.78	2-1-1 3.82	0-2-2 1.70	0-2-2 3.02	0-0-4 1.81
FB Gulbene	0-0-4 2.12	1-3-0 5.51	—	1-1-2 4.44	1-1-2 3.47	1-1-2 1.79	1-2-1 4.01	0-0-4 1.77	0-1-3 3.17	0-0-4 1.89
Jelgava	0-1-3 2.71	1-1-2 6.75	2-1-1 6.52	—	0-1-3 4.15	0-1-3 2.40	1-2-1 5.21	1-1-2 2.14	1-1-2 3.82	1-1-2 2.19
Jurmala	1-0-3 3.61	1-2-1 7.70	2-1-1 7.57	3-1-0 6.83	—	0-0-4 3.20	3-1-0 6.36	0-2-2 2.94	0-1-3 5.23	0-1-3 3.10
Liepajas Metalurgs	1-2-1 6.10	3-1-0 9.61	2-1-1 9.59	3-1-0 8.83	4-0-0 7.88	—	2-0-2 8.93	2-0-2 5.39	2-1-1 7.72	2-1-1 5.38
Metta	0-1-3 2.96	1-1-2 7.19	1-2-1 6.99	1-2-1 5.74	0-1-3 4.61	2-0-2 2.32	—	0-0-4 2.32	2-1-1 3.95	0-0-4 2.39
Skonto	1-3-0 6.14	2-2-0 9.71	4-0-0 9.62	2-1-1 9.15	2-2-0 8.18	2-0-2 5.55	4-0-0 8.94	—	2-2-0 7.77	2-1-1 5.47
Spartaks Jurmala	0-1-3 3.94	2-2-0 8.09	3-1-0 7.92	2-1-1 7.19	3-1-0 5.71	1-1-2 3.35	1-1-2 7.06	0-2-2 3.30	—	1-0-3 3.37
Ventspils	1-1-2 6.23	4-0-0 9.57	4-0-0 9.46	2-1-1 9.09	3-1-0 8.00	1-1-2 5.56	4-0-0 8.84	1-1-2 5.47	3-0-1 7.69	—

Points vs. Goals Scored, Allowed, and Differential

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

Fit Metrics

	R²	Slope
Scored	0.81	+14.8
Allowed	0.88	-9.0
Differential	0.96	+6.3

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	9.44%	8.89%	6.11%	4.44%	1.94%	1.39%	32.22%
1	8.89%	8.89%	4.72%	4.17%	1.39%	0.83%	28.89%
2	6.11%	4.72%	5.00%	1.94%	0.56%	0.28%	18.61%
3	4.44%	4.17%	1.94%	1.67%	0.83%	—	13.06%
4	1.94%	1.39%	0.56%	0.83%	—	—	4.72%
5+	1.39%	0.83%	0.28%	—	—	—	2.50%
Total	32.22%	28.89%	18.61%	13.06%	4.72%	2.50%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.37	1.37	+0.00
SD	1.33	1.33	2.00
CV	0.97	0.97	—
Max	6	6	+5
Min	0	0	-5

Games Played: 180

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	16.67%	2.78%	2.78%	2.78%	—	—	25.00%
1	8.33%	5.56%	—	—	—	2.78%	16.67%
2	16.67%	5.56%	2.78%	—	—	—	25.00%
3	13.89%	8.33%	2.78%	—	—	—	25.00%
4	2.78%	—	2.78%	—	—	—	5.56%
5+	2.78%	—	—	—	—	—	2.78%
Total	61.11%	22.22%	11.11%	2.78%	—	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.78	0.69	+1.08
SD	1.38	1.21	1.92
CV	0.77	1.75	—
Max	5	6	+5
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	5.56%	2.78%	5.56%	8.33%	2.78%	27.78%
1	5.56%	16.67%	11.11%	8.33%	2.78%	—	44.44%
2	—	—	11.11%	—	—	2.78%	13.89%
3	2.78%	—	2.78%	2.78%	2.78%	—	11.11%
4	—	—	—	2.78%	—	—	2.78%
5+	—	—	—	—	—	—	—
Total	11.11%	22.22%	27.78%	19.44%	13.89%	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.17	2.19	-1.03
SD	1.06	1.39	1.75
CV	0.90	0.63	—
Max	4	5	+3
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	13.89%	2.78%	11.11%	8.33%	2.78%	47.22%
1	5.56%	8.33%	5.56%	13.89%	2.78%	—	36.11%
2	2.78%	2.78%	8.33%	—	—	—	13.89%
3	—	—	—	—	—	—	—
4	—	—	—	—	—	—	—
5+	—	2.78%	—	—	—	—	2.78%
Total	16.67%	27.78%	16.67%	25.00%	11.11%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.78	1.94	-1.17
SD	1.02	1.39	1.87
CV	1.31	0.72	—
Max	5	5	+4
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	8.33%	22.22%	—	—	—	41.67%
1	5.56%	13.89%	8.33%	8.33%	2.78%	—	38.89%
2	—	5.56%	2.78%	—	—	—	8.33%
3	—	2.78%	5.56%	—	2.78%	—	11.11%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	16.67%	30.56%	38.89%	8.33%	5.56%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.89	1.56	-0.67
SD	0.98	1.05	1.24
CV	1.10	0.68	—
Max	3	4	+2
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	11.11%	16.67%	2.78%	—	—	41.67%
1	2.78%	8.33%	5.56%	—	—	—	16.67%
2	5.56%	2.78%	2.78%	5.56%	5.56%	—	22.22%
3	5.56%	5.56%	—	2.78%	—	—	13.89%
4	2.78%	—	—	—	—	—	2.78%
5+	—	2.78%	—	—	—	—	2.78%
Total	27.78%	30.56%	25.00%	11.11%	5.56%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.31	1.36	-0.06
SD	1.45	1.17	1.90
CV	1.11	0.86	—
Max	6	4	+5
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	11.11%	—	—	—	—	19.44%
1	11.11%	5.56%	2.78%	5.56%	2.78%	—	27.78%
2	16.67%	5.56%	2.78%	—	—	—	25.00%
3	5.56%	8.33%	5.56%	2.78%	—	—	22.22%
4	2.78%	2.78%	—	—	—	—	5.56%
5+	—	—	—	—	—	—	—
Total	44.44%	33.33%	11.11%	8.33%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.67	0.92	+0.75
SD	1.20	1.08	1.59
CV	0.72	1.18	—
Max	4	4	+4
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	8.33%	8.33%	8.33%	2.78%	8.33%	41.67%
1	2.78%	13.89%	5.56%	5.56%	2.78%	5.56%	36.11%
2	—	2.78%	—	2.78%	—	—	5.56%
3	2.78%	—	—	2.78%	—	—	5.56%
4	—	5.56%	—	5.56%	—	—	11.11%
5+	—	—	—	—	—	—	—
Total	11.11%	30.56%	13.89%	25.00%	5.56%	13.89%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.08	2.28	-1.19
SD	1.32	1.63	2.23
CV	1.22	0.72	—
Max	4	6	+3
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	13.89%	8.33%	—	—	—	—	22.22%
1	25.00%	11.11%	—	—	—	—	36.11%
2	2.78%	8.33%	2.78%	2.78%	—	—	16.67%
3	2.78%	8.33%	—	2.78%	—	—	13.89%
4	2.78%	2.78%	—	—	—	—	5.56%
5+	5.56%	—	—	—	—	—	5.56%
Total	52.78%	38.89%	2.78%	5.56%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.61	0.61	+1.00
SD	1.42	0.80	1.51
CV	0.88	1.31	—
Max	5	3	+5
Min	0	0	-1

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	8.33%	2.78%	8.33%	—	—	25.00%
1	5.56%	2.78%	5.56%	—	—	—	13.89%
2	5.56%	5.56%	16.67%	8.33%	—	—	36.11%
3	5.56%	8.33%	—	2.78%	2.78%	—	19.44%
4	—	—	2.78%	—	—	—	2.78%
5+	—	—	2.78%	—	—	—	2.78%
Total	22.22%	25.00%	30.56%	19.44%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.69	1.56	+0.14
SD	1.28	1.13	1.64
CV	0.76	0.73	—
Max	5	4	+3
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	11.11%	2.78%	5.56%	—	—	30.56%
1	16.67%	2.78%	2.78%	—	—	—	22.22%
2	11.11%	8.33%	—	—	—	—	19.44%
3	5.56%	—	2.78%	—	—	—	8.33%
4	8.33%	2.78%	—	—	—	—	11.11%
5+	5.56%	2.78%	—	—	—	—	8.33%
Total	58.33%	27.78%	8.33%	5.56%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.75	0.61	+1.14
SD	1.71	0.87	2.11
CV	0.98	1.43	—
Max	6	3	+5
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
Skonto	1459	74	69.95	+4.05	75.0%	50	56	65	70	74	83	87
Ventspils	1445	74	70.15	+3.85	74.0%	52	56	65	71	75	82	86
Liepajas Metalurgs	1436	70	69.92	+0.08	51.0%	52	57	66	70	75	80	85
Daugava	1435	78	63.48	+14.52	98.0%	44	48	58	64	69	75	82
Spartaks Jurmala	1273	49	50.57	-1.57	43.0%	33	39	46	50	55	63	75
Jurmala	1232	39	47.00	-8.00	14.0%	33	35	42	48	51	57	59
Jelgava	1146	31	36.25	-5.25	27.0%	16	27	31	36	41	46	53
Metta	1141	29	37.36	-8.36	11.0%	18	24	32	38	41	49	53
Daugava Riga	1069	27	28.78	-1.78	44.0%	12	18	24	28	33	40	50
FB Gulbene	1064	24	26.98	-2.98	37.0%	12	17	22	26	31	37	44

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

-0.56%

No Edge

37.22%25.00%37.78%

Elo Value

Home Edge: -1.93 Elo pts.

170 Elo

0.006 goals per Elo point

0500

Scoring Tilt

Expected

+0.02 goals

Neutral

-2-0.01+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

3.4

Open

123410

Champion Preseason Odds

Daugava, 4th of 10

LongshotFavorite

Title Margin

Expected

0.11/gm

Tight Race

00.160.5/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 5.64 * Some Luck: 5.64 to 8.45 * Lucky: 8.45 to 11.27 * Wild Swing: 11.27 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 0.72 * Close: 0.72 to 1.09 * Off: 1.09 to 1.45 * Way Off: 1.45 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

6.44 points

Some Luck

07.0418

Average Finish Error

Expected

0.80

00.902

Biggest Overachiever

Expected 95.00%

98.00%

Daugava

50100

Biggest Underachiever

Expected 5.00%

11.00%

Metta

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 0.27 * 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

0.24

Balanced

00.240.5

Noll-Scully

Elo SD: 162.58

2.82

Strong Separation

12.552.953.5

Interquartile Edge

84%

Slight Edge

50%82%100%

Best vs. Worst

Baseline 96%

91%

Even

50%100%

Close Games

Expected

58%

Very Frequent

0%54%100%

Blowouts

Expected

21%

Rare

0%21%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

0.54

Highly Predictable

00.562

Matchup Imbalance

0.45

Very Even

00.5

Strangeness

Expected

0.83

As Expected

01.002

Repeatability

0.84

Near-Lock

00.620.761

Upset Rate

Expected

18%

Upset-Prone

0%21%50%

Clear Favorite Upset Rate

Expected

15%

Shaky Favorites

0%17%50%

Calibration

How these are measured

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

Probability calibration: An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope: Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE): The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.12 * Near Noise Ceiling: 0.12 to 0.18 * Above Noise: 0.18 to 0.25 * Well Above Noise: 0.25 and up.

Probability calibration

0.75

Excellent

0.010.050.10.51

Calibration slope

Ideal

1.21

Underconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.038

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
Daugava	7.00%	18.00%	23.00%	43.00%	4.00%	5.00%	—	—	—	—
Skonto	27.00%	30.00%	24.00%	18.00%	—	1.00%	—	—	—	—
Ventspils	38.00%	24.00%	21.00%	14.00%	3.00%	—	—	—	—	—
Liepajas Metalurgs	26.00%	27.00%	30.00%	14.00%	3.00%	—	—	—	—	—
Spartaks Jurmala	2.00%	1.00%	1.00%	7.00%	50.00%	24.00%	11.00%	3.00%	1.00%	—
Jurmala	—	—	1.00%	4.00%	28.00%	46.00%	14.00%	5.00%	2.00%	—
Jelgava	—	—	—	—	3.00%	12.00%	28.00%	31.00%	20.00%	6.00%
Metta	—	—	—	—	7.00%	11.00%	29.00%	32.00%	11.00%	10.00%
Daugava Riga	—	—	—	—	2.00%	1.00%	11.00%	16.00%	35.00%	35.00%
FB Gulbene	—	—	—	—	—	—	7.00%	13.00%	31.00%	49.00%

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
Daugava	100%	—	—
Jurmala	98.00%	2.00%	—
Liepajas Metalurgs	100%	—	—
Skonto	100%	—	—
Spartaks Jurmala	99.00%	1.00%	—
Ventspils	100%	—	—
Jelgava	74.00%	20.00%	6.00%
Metta	79.00%	11.00%	10.00%
Daugava Riga	30.00%	35.00%	35.00%
FB Gulbene	20.00%	31.00%	49.00%

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
2012-03-24	Daugava	L 0-4	26.9	1086	1348	12.64%	18.44%	68.92%	-1.55	-7.7	0
2012-03-24	@ Daugava Riga	W 4-0	26.9	1348	1086	68.92%	18.44%	12.64%	+1.55	+7.7	3
2012-03-24	Liepajas Metalurgs	L 0-2	31.8	1197	1414	15.16%	20.58%	64.25%	-1.28	-5.0	0
2012-03-24	@ Jelgava	W 2-0	31.8	1414	1197	64.25%	20.58%	15.16%	+1.28	+5.0	3
2012-03-25	FB Gulbene	D 0-0	49.2	1249	1108	55.54%	23.78%	20.68%	+0.81	-1.3	1
2012-03-25	@ Metta	D 0-0	49.2	1108	1249	20.68%	23.78%	55.54%	-0.81	+1.3	1
2012-03-25	Skonto	D 3-3	64.4	1233	1399	18.70%	22.84%	58.46%	-0.98	+0.8	1
2012-03-25	@ Jurmala	D 3-3	64.4	1399	1233	58.46%	22.84%	18.70%	+0.98	-0.8	1
2012-03-25	Spartaks Jurmala	W 3-2	47.3	1419	1249	59.06%	22.63%	18.31%	+0.99	+2.9	3
2012-03-25	@ Ventspils	L 2-3	47.3	1249	1419	18.31%	22.63%	59.06%	-0.99	-2.9	0
2012-03-31	Jelgava	L 1-2	44.2	1109	1192	26.25%	25.51%	48.24%	-0.50	-4.3	1
2012-03-31	@ FB Gulbene	W 2-1	44.2	1192	1109	48.24%	25.51%	26.25%	+0.50	+4.3	3
2012-03-31	Jurmala	W 2-0	33.3	1419	1234	60.72%	22.02%	17.26%	+1.07	+5.8	6
2012-03-31	@ Liepajas Metalurgs	L 0-2	33.3	1234	1419	17.26%	22.02%	60.72%	-1.07	-5.8	1
2012-03-31	Metta	W 1-0	47.8	1079	1247	18.43%	22.69%	58.88%	-1.00	+8.6	3
2012-03-31	@ Daugava Riga	L 0-1	47.8	1247	1079	58.88%	22.69%	18.43%	+1.00	-8.6	1
2012-03-31	Spartaks Jurmala	W 1-0	38.6	1356	1246	51.83%	24.77%	23.40%	+0.64	+4.1	6
2012-03-31	@ Daugava	L 0-1	38.6	1246	1356	23.40%	24.77%	51.83%	-0.64	-4.1	0
2012-04-01	Ventspils	W 1-0	47.3	1398	1422	33.40%	26.42%	40.18%	-0.15	+6.4	4
2012-04-01	@ Skonto	L 0-1	47.3	1422	1398	40.18%	26.42%	33.40%	+0.15	-6.4	3
2012-04-07	Daugava Riga	L 3-4	59.2	1196	1087	51.68%	24.81%	23.52%	+0.63	-6.8	3
2012-04-07	@ Jelgava	W 4-3	59.2	1087	1196	23.52%	24.81%	51.68%	-0.63	+6.8	6
2012-04-07	FB Gulbene	D 2-2	59.0	1229	1105	53.45%	24.37%	22.18%	+0.71	-0.8	2
2012-04-07	@ Jurmala	D 2-2	59.0	1105	1229	22.18%	24.37%	53.45%	-0.71	+0.8	2
2012-04-07	Skonto	L 0-1	37.1	1242	1404	18.89%	22.94%	58.17%	-0.97	-3.3	0
2012-04-07	@ Spartaks Jurmala	W 1-0	37.1	1404	1242	58.17%	22.94%	18.89%	+0.97	+3.4	7
2012-04-08	Daugava	D 1-1	54.3	1239	1360	22.34%	24.42%	53.23%	-0.73	+1.0	2
2012-04-08	@ Metta	D 1-1	54.3	1360	1239	53.23%	24.42%	22.34%	+0.73	-1.0	7
2012-04-14	Jurmala	D 1-1	53.6	1094	1228	21.26%	24.02%	54.73%	-0.80	+1.1	7
2012-04-14	@ Daugava Riga	D 1-1	53.6	1228	1094	54.73%	24.02%	21.26%	+0.80	-1.1	3
2012-04-14	Spartaks Jurmala	L 1-2	54.9	1425	1238	60.94%	21.93%	17.13%	+1.08	-8.4	6
2012-04-14	@ Liepajas Metalurgs	W 2-1	54.9	1238	1425	17.13%	21.93%	60.94%	-1.08	+8.4	3
2012-04-15	FB Gulbene	W 3-0	26.5	1415	1106	73.41%	16.16%	10.43%	+1.81	+4.7	6
2012-04-15	@ Ventspils	L 0-3	26.5	1106	1415	10.43%	16.16%	73.41%	-1.81	-4.7	2
2012-04-15	Jelgava	D 1-1	53.1	1240	1190	43.80%	26.14%	30.06%	+0.28	-0.4	3
2012-04-15	@ Metta	D 1-1	53.1	1190	1240	30.06%	26.14%	43.80%	-0.28	+0.4	4
2012-04-15	Skonto	D 1-1	55.8	1359	1407	30.28%	26.17%	43.56%	-0.29	+0.4	8
2012-04-15	@ Daugava	D 1-1	55.8	1407	1359	43.56%	26.17%	30.28%	+0.29	-0.4	8
2012-04-18	Daugava	L 1-2	41.5	1190	1360	18.37%	22.66%	58.98%	-1.01	-3.1	4
2012-04-18	@ Jelgava	W 2-1	41.5	1360	1190	58.98%	22.66%	18.37%	+1.01	+3.1	11
2012-04-18	Daugava Riga	W 2-0	28.2	1420	1095	74.79%	15.42%	9.78%	+1.90	+3.0	9
2012-04-18	@ Ventspils	L 0-2	28.2	1095	1420	9.78%	15.42%	74.79%	-1.90	-3.0	7
2012-04-18	FB Gulbene	W 3-1	38.9	1247	1101	56.13%	23.60%	20.27%	+0.84	+5.9	6
2012-04-18	@ Spartaks Jurmala	L 1-3	38.9	1101	1247	20.27%	23.60%	56.13%	-0.84	-5.9	2
2012-04-18	Jurmala	L 0-2	40.0	1239	1227	38.55%	26.48%	34.97%	+0.06	-11.6	3
2012-04-18	@ Metta	W 2-0	40.0	1227	1239	34.97%	26.48%	38.55%	-0.06	+11.6	6
2012-04-18	Liepajas Metalurgs	L 0-1	46.0	1407	1416	35.39%	26.49%	38.11%	-0.07	-5.8	8
2012-04-18	@ Skonto	W 1-0	46.0	1416	1407	38.11%	26.49%	35.39%	+0.07	+5.8	9
2012-04-21	Spartaks Jurmala	L 1-2	41.3	1092	1252	19.07%	23.03%	57.91%	-0.95	-3.2	7
2012-04-21	@ Daugava Riga	W 2-1	41.3	1252	1092	57.91%	23.03%	19.07%	+0.95	+3.2	9
2012-04-22	Jurmala	L 0-2	37.2	1187	1238	29.91%	26.12%	43.97%	-0.31	-9.6	4
2012-04-22	@ Jelgava	W 2-0	37.2	1238	1187	43.97%	26.12%	29.91%	+0.31	+9.6	9
2012-04-22	Liepajas Metalurgs	D 0-0	51.7	1363	1422	28.89%	25.99%	45.12%	-0.36	+0.6	12
2012-04-22	@ Daugava	D 0-0	51.7	1422	1363	45.12%	25.99%	28.89%	+0.36	-0.6	10
2012-04-22	Skonto	L 0-1	31.7	1095	1401	10.58%	16.33%	73.09%	-1.81	-1.8	2
2012-04-22	@ FB Gulbene	W 1-0	31.7	1401	1095	73.09%	16.33%	10.58%	+1.81	+1.8	11
2012-04-22	Ventspils	L 1-6	33.1	1228	1423	16.53%	21.55%	61.92%	-1.16	-10.6	3
2012-04-22	@ Metta	W 6-1	33.1	1423	1228	61.92%	21.55%	16.53%	+1.16	+10.7	12
2012-04-28	Daugava	W 6-1	44.5	1248	1363	22.92%	24.62%	52.45%	-0.69	+28.7	12
2012-04-28	@ Jurmala	L 1-6	44.5	1363	1248	52.45%	24.62%	22.92%	+0.69	-28.7	12
2012-04-28	Daugava Riga	W 1-0	31.5	1403	1089	73.82%	15.94%	10.23%	+1.83	+1.7	14
2012-04-28	@ Skonto	L 0-1	31.5	1089	1403	10.23%	15.94%	73.82%	-1.83	-1.7	7
2012-04-28	FB Gulbene	L 0-1	50.8	1422	1094	75.08%	15.27%	9.65%	+1.91	-10.3	10
2012-04-28	@ Liepajas Metalurgs	W 1-0	50.8	1094	1422	9.65%	15.27%	75.08%	-1.91	+10.3	5
2012-04-28	Jelgava	L 0-1	50.4	1434	1178	68.33%	18.73%	12.95%	+1.49	-9.7	12
2012-04-28	@ Ventspils	W 1-0	50.4	1178	1434	12.95%	18.73%	68.33%	-1.49	+9.7	7
2012-04-28	Metta	W 3-1	43.3	1256	1217	42.24%	26.29%	31.47%	+0.22	+8.6	12
2012-04-28	@ Spartaks Jurmala	L 1-3	43.3	1217	1256	31.47%	26.29%	42.24%	-0.22	-8.6	3
2012-05-02	FB Gulbene	W 3-0	28.6	1335	1104	65.72%	19.94%	14.34%	+1.34	+6.8	15
2012-05-02	@ Daugava	L 0-3	28.6	1104	1335	14.34%	19.94%	65.72%	-1.34	-6.8	5
2012-05-02	Liepajas Metalurgs	L 1-3	33.6	1087	1411	9.81%	15.46%	74.72%	-1.91	-2.6	7
2012-05-02	@ Daugava Riga	W 3-1	33.6	1411	1087	74.72%	15.46%	9.81%	+1.91	+2.6	13
2012-05-02	Skonto	L 1-2	41.0	1208	1405	16.47%	21.51%	62.02%	-1.16	-2.7	3
2012-05-02	@ Metta	W 2-1	41.0	1405	1208	62.02%	21.51%	16.47%	+1.16	+2.7	17
2012-05-02	Spartaks Jurmala	L 1-3	41.7	1187	1264	26.88%	25.64%	47.48%	-0.46	-7.6	7
2012-05-02	@ Jelgava	W 3-1	41.7	1264	1187	47.48%	25.64%	26.88%	+0.46	+7.6	15
2012-05-02	Ventspils	L 1-2	43.5	1277	1424	20.10%	23.52%	56.38%	-0.88	-3.4	12
2012-05-02	@ Jurmala	W 2-1	43.5	1424	1277	56.38%	23.52%	20.10%	+0.88	+3.4	15
2012-05-06	Daugava	L 1-2	53.8	1427	1341	48.65%	25.44%	25.91%	+0.49	-7.0	15
2012-05-06	@ Ventspils	W 2-1	53.8	1341	1427	25.91%	25.44%	48.65%	-0.49	+7.0	18
2012-05-06	Daugava Riga	D 0-0	48.3	1097	1085	38.53%	26.48%	34.99%	+0.06	-0.1	6
2012-05-06	@ FB Gulbene	D 0-0	48.3	1085	1097	34.99%	26.48%	38.53%	-0.06	+0.1	8
2012-05-06	Jelgava	L 2-3	60.0	1407	1180	65.41%	20.08%	14.52%	+1.33	-8.4	17
2012-05-06	@ Skonto	W 3-2	60.0	1180	1407	14.52%	20.08%	65.41%	-1.33	+8.4	10
2012-05-06	Jurmala	D 0-0	48.9	1272	1273	36.55%	26.51%	36.94%	-0.02	+0.0	16
2012-05-06	@ Spartaks Jurmala	D 0-0	48.9	1273	1272	36.94%	26.51%	36.55%	+0.02	-0.0	13
2012-05-06	Liepajas Metalurgs	W 4-1	49.3	1206	1414	15.69%	20.97%	63.34%	-1.23	+21.1	6
2012-05-06	@ Metta	L 1-4	49.3	1414	1206	63.34%	20.97%	15.69%	+1.23	-21.1	13
2012-05-13	Daugava Riga	W 3-1	35.2	1348	1085	69.07%	18.37%	12.56%	+1.54	+3.5	21
2012-05-13	@ Daugava	L 1-3	35.2	1085	1348	12.56%	18.37%	69.07%	-1.54	-3.5	8
2012-05-13	Metta	W 5-1	44.8	1097	1227	21.62%	24.16%	54.23%	-0.77	+24.1	9
2012-05-13	@ FB Gulbene	L 1-5	44.8	1227	1097	54.23%	24.16%	21.62%	+0.77	-24.1	6
2012-05-13	Ventspils	W 2-0	45.9	1272	1420	20.01%	23.48%	56.51%	-0.88	+15.8	19
2012-05-13	@ Spartaks Jurmala	L 0-2	45.9	1420	1272	56.51%	23.48%	20.01%	+0.88	-15.8	15
2012-05-16	Daugava	D 2-2	59.6	1288	1352	28.33%	25.90%	45.76%	-0.39	+0.4	20
2012-05-16	@ Spartaks Jurmala	D 2-2	59.6	1352	1288	45.76%	25.90%	28.33%	+0.39	-0.4	22
2012-05-16	FB Gulbene	L 0-1	44.9	1188	1121	46.12%	25.85%	28.02%	+0.38	-7.1	10
2012-05-16	@ Jelgava	W 1-0	44.9	1121	1188	28.02%	25.85%	46.12%	-0.38	+7.1	12
2012-05-17	Daugava Riga	L 0-3	41.4	1203	1081	53.19%	24.44%	22.38%	+0.70	-21.8	6
2012-05-17	@ Metta	W 3-0	41.4	1081	1203	22.38%	24.44%	53.19%	-0.70	+21.8	11
2012-05-17	Liepajas Metalurgs	L 0-2	35.7	1273	1393	22.53%	24.49%	52.98%	-0.71	-7.5	13
2012-05-17	@ Jurmala	W 2-0	35.7	1393	1273	52.98%	24.49%	22.53%	+0.71	+7.5	16
2012-05-17	Skonto	D 0-0	52.0	1405	1399	37.56%	26.50%	35.93%	+0.02	-0.1	16
2012-05-17	@ Ventspils	D 0-0	52.0	1399	1405	35.93%	26.50%	37.56%	-0.02	+0.0	18
2012-05-26	Jelgava	W 1-0	45.3	1103	1181	26.79%	25.63%	47.59%	-0.47	+7.3	14
2012-05-26	@ Daugava Riga	L 0-1	45.3	1181	1103	47.59%	25.63%	26.79%	+0.47	-7.3	10
2012-05-26	Jurmala	W 2-0	44.0	1128	1266	20.93%	23.88%	55.19%	-0.82	+15.4	15
2012-05-26	@ FB Gulbene	L 0-2	44.0	1266	1128	55.19%	23.88%	20.93%	+0.82	-15.5	13
2012-05-26	Skonto	D 2-2	60.5	1288	1399	23.35%	24.76%	51.89%	-0.66	+0.7	21
2012-05-26	@ Spartaks Jurmala	D 2-2	60.5	1399	1288	51.89%	24.76%	23.35%	+0.66	-0.7	19
2012-05-27	Metta	W 2-0	32.9	1351	1181	59.11%	22.61%	18.28%	+0.99	+6.1	25
2012-05-27	@ Daugava	L 0-2	32.9	1181	1351	18.28%	22.61%	59.11%	-0.99	-6.1	6
2012-05-27	Ventspils	D 0-0	52.0	1400	1405	36.14%	26.51%	37.36%	-0.04	+0.1	17
2012-05-27	@ Liepajas Metalurgs	D 0-0	52.0	1405	1400	37.36%	26.51%	36.14%	+0.04	-0.0	17
2012-06-06	Liepajas Metalurgs	D 2-2	60.5	1289	1400	23.29%	24.74%	51.97%	-0.67	+0.7	22
2012-06-06	@ Spartaks Jurmala	D 2-2	60.5	1400	1289	51.97%	24.74%	23.29%	+0.67	-0.7	18
2012-06-07	Daugava	W 3-0	38.0	1398	1358	42.52%	26.26%	31.21%	+0.23	+14.4	22
2012-06-07	@ Skonto	L 0-3	38.0	1358	1398	31.21%	26.26%	42.52%	-0.23	-14.4	25
2012-06-07	Daugava Riga	D 1-1	53.7	1250	1110	55.48%	23.80%	20.73%	+0.81	-1.2	14
2012-06-07	@ Jurmala	D 1-1	53.7	1110	1250	20.73%	23.80%	55.48%	-0.81	+1.2	15
2012-06-07	Metta	L 1-4	42.0	1174	1175	36.59%	26.51%	36.90%	-0.02	-13.7	10
2012-06-07	@ Jelgava	W 4-1	42.0	1175	1174	36.90%	26.51%	36.59%	+0.02	+13.7	9
2012-06-07	Ventspils	L 0-5	27.6	1144	1405	12.70%	18.50%	68.80%	-1.54	-9.5	15
2012-06-07	@ FB Gulbene	W 5-0	27.6	1405	1144	68.80%	18.50%	12.70%	+1.54	+9.5	20
2012-06-16	Jelgava	W 2-0	32.4	1343	1160	60.55%	22.08%	17.37%	+1.06	+5.8	28
2012-06-16	@ Daugava	L 0-2	32.4	1160	1343	17.37%	22.08%	60.55%	-1.06	-5.8	10
2012-06-16	Metta	D 0-0	48.7	1249	1188	45.27%	25.97%	28.76%	+0.34	-0.6	15
2012-06-16	@ Jurmala	D 0-0	48.7	1188	1249	28.76%	25.97%	45.27%	-0.34	+0.6	10
2012-06-16	Spartaks Jurmala	L 0-3	31.1	1134	1289	19.45%	23.22%	57.33%	-0.92	-9.5	15
2012-06-16	@ FB Gulbene	W 3-0	31.1	1289	1134	57.33%	23.22%	19.45%	+0.92	+9.5	25
2012-06-17	Skonto	L 0-1	45.6	1400	1413	34.90%	26.48%	38.62%	-0.09	-5.7	18
2012-06-17	@ Liepajas Metalurgs	W 1-0	45.6	1413	1400	38.62%	26.48%	34.90%	+0.09	+5.7	25
2012-06-17	Ventspils	L 1-4	31.6	1111	1414	10.72%	16.49%	72.79%	-1.79	-4.1	15
2012-06-17	@ Daugava Riga	W 4-1	31.6	1414	1111	72.79%	16.49%	10.72%	+1.79	+4.1	23
2012-06-20	Daugava Riga	D 2-2	59.9	1299	1107	61.48%	21.72%	16.80%	+1.11	-1.1	26
2012-06-20	@ Spartaks Jurmala	D 2-2	59.9	1107	1299	16.80%	21.72%	61.48%	-1.11	+1.1	16
2012-06-21	Daugava	W 2-0	39.7	1394	1349	43.11%	26.21%	30.68%	+0.25	+9.8	21
2012-06-21	@ Liepajas Metalurgs	L 0-2	39.7	1349	1394	30.68%	26.21%	43.11%	-0.25	-9.8	28
2012-06-21	FB Gulbene	W 4-1	32.0	1418	1125	71.98%	16.91%	11.11%	+1.71	+4.3	28
2012-06-21	@ Skonto	L 1-4	32.0	1125	1418	11.11%	16.91%	71.98%	-1.71	-4.3	15
2012-06-21	Jelgava	D 0-0	48.9	1248	1154	49.75%	25.23%	25.02%	+0.54	-0.9	16
2012-06-21	@ Jurmala	D 0-0	48.9	1154	1248	25.02%	25.23%	49.75%	-0.54	+0.9	11
2012-06-21	Metta	W 1-0	34.6	1418	1189	65.56%	20.01%	14.43%	+1.33	+2.5	26
2012-06-21	@ Ventspils	L 0-1	34.6	1189	1418	14.43%	20.01%	65.56%	-1.33	-2.5	10
2012-06-26	Jurmala	W 2-0	36.1	1339	1248	49.41%	25.30%	25.30%	+0.53	+8.3	31
2012-06-26	@ Daugava	L 0-2	36.1	1248	1339	25.30%	25.30%	49.41%	-0.53	-8.3	16
2012-06-26	Skonto	D 1-1	56.4	1109	1423	10.23%	15.93%	73.84%	-1.86	+2.2	17
2012-06-26	@ Daugava Riga	D 1-1	56.4	1423	1109	73.84%	15.93%	10.23%	+1.86	-2.2	29
2012-06-27	Liepajas Metalurgs	D 1-1	56.0	1120	1404	11.59%	17.41%	70.99%	-1.68	+2.1	16
2012-06-27	@ FB Gulbene	D 1-1	56.0	1404	1120	70.99%	17.41%	11.59%	+1.68	-2.1	22
2012-06-27	Spartaks Jurmala	W 2-1	52.0	1186	1298	23.32%	24.75%	51.93%	-0.66	+7.3	13
2012-06-27	@ Metta	L 1-2	52.0	1298	1186	51.93%	24.75%	23.32%	+0.66	-7.3	26
2012-06-27	Ventspils	L 0-2	30.1	1155	1421	12.46%	18.27%	69.27%	-1.57	-4.0	11
2012-06-27	@ Jelgava	W 2-0	30.1	1421	1155	69.27%	18.27%	12.46%	+1.57	+4.0	29
2012-06-30	Daugava	L 0-2	30.9	1122	1348	14.66%	20.20%	65.14%	-1.33	-4.8	16
2012-06-30	@ FB Gulbene	W 2-0	30.9	1348	1122	65.14%	20.20%	14.66%	+1.33	+4.8	34
2012-06-30	Metta	W 5-0	29.1	1421	1194	65.29%	20.13%	14.58%	+1.32	+11.2	32
2012-06-30	@ Skonto	L 0-5	29.1	1194	1421	14.58%	20.13%	65.29%	-1.32	-11.2	13
2012-07-01	Daugava Riga	W 1-0	32.2	1402	1111	71.70%	17.05%	11.25%	+1.70	+1.9	25
2012-07-01	@ Liepajas Metalurgs	L 0-1	32.2	1111	1402	11.25%	17.05%	71.70%	-1.70	-1.9	17
2012-07-01	Jurmala	D 1-1	55.5	1425	1239	60.80%	21.99%	17.21%	+1.08	-1.5	30
2012-07-01	@ Ventspils	D 1-1	55.5	1239	1425	17.21%	21.99%	60.80%	-1.08	+1.5	17
2012-07-01	Spartaks Jurmala	W 3-2	57.5	1151	1290	20.77%	23.82%	55.41%	-0.83	+7.4	14
2012-07-01	@ Jelgava	L 2-3	57.5	1290	1151	55.41%	23.82%	20.77%	+0.83	-7.4	26
2012-07-05	Jurmala	W 1-0	36.4	1432	1241	61.42%	21.75%	16.83%	+1.11	+3.0	35
2012-07-05	@ Skonto	L 0-1	36.4	1241	1432	16.83%	21.75%	61.42%	-1.11	-3.0	17
2012-07-07	FB Gulbene	D 2-2	58.3	1109	1118	35.51%	26.50%	37.99%	-0.06	+0.1	18
2012-07-07	@ Daugava Riga	D 2-2	58.3	1118	1109	37.99%	26.50%	35.51%	+0.06	-0.1	17
2012-07-08	Ventspils	W 3-0	42.8	1352	1423	27.58%	25.78%	46.65%	-0.43	+19.6	37
2012-07-08	@ Daugava	L 0-3	42.8	1423	1352	46.65%	25.78%	27.58%	+0.43	-19.6	30
2012-07-14	Skonto	D 0-0	51.3	1238	1435	16.43%	21.49%	62.08%	-1.17	+1.8	18
2012-07-14	@ Jurmala	D 0-0	51.3	1435	1238	62.08%	21.49%	16.43%	+1.17	-1.8	36
2012-07-14	Spartaks Jurmala	W 2-0	35.9	1404	1283	53.10%	24.46%	22.45%	+0.70	+7.5	33
2012-07-14	@ Ventspils	L 0-2	35.9	1283	1404	22.45%	24.46%	53.10%	-0.70	-7.5	26
2012-07-15	Daugava	L 0-3	27.7	1109	1372	12.59%	18.40%	69.01%	-1.56	-5.9	18
2012-07-15	@ Daugava Riga	W 3-0	27.7	1372	1109	69.01%	18.40%	12.59%	+1.56	+5.9	40
2012-07-15	FB Gulbene	D 1-1	53.0	1183	1117	45.88%	25.89%	28.23%	+0.37	-0.6	14
2012-07-15	@ Metta	D 1-1	53.0	1117	1183	28.23%	25.89%	45.88%	-0.37	+0.6	18
2012-07-15	Liepajas Metalurgs	L 1-2	39.1	1158	1404	13.54%	19.26%	67.21%	-1.45	-2.2	14
2012-07-15	@ Jelgava	W 2-1	39.1	1404	1158	67.21%	19.26%	13.54%	+1.45	+2.2	28
2012-07-19	Spartaks Jurmala	L 0-1	41.2	1240	1276	31.81%	26.32%	41.87%	-0.22	-5.3	18
2012-07-19	@ Jurmala	W 1-0	41.2	1276	1240	41.87%	26.32%	31.81%	+0.22	+5.3	29
2012-07-27	Jelgava	L 0-1	40.7	1118	1156	31.54%	26.29%	42.17%	-0.24	-5.3	18
2012-07-27	@ FB Gulbene	W 1-0	40.7	1156	1118	42.17%	26.29%	31.54%	+0.24	+5.3	17
2012-07-28	Metta	D 1-1	53.1	1103	1182	26.66%	25.60%	47.74%	-0.48	+0.7	19
2012-07-28	@ Daugava Riga	D 1-1	53.1	1182	1103	47.74%	25.60%	26.66%	+0.48	-0.7	15
2012-07-29	Jurmala	W 3-2	47.0	1406	1234	59.22%	22.57%	18.21%	+1.00	+2.9	31
2012-07-29	@ Liepajas Metalurgs	L 2-3	47.0	1234	1406	18.21%	22.57%	59.22%	-1.00	-2.9	18
2012-07-29	Spartaks Jurmala	W 3-2	49.9	1378	1281	50.09%	25.16%	24.75%	+0.56	+3.9	43
2012-07-29	@ Daugava	L 2-3	49.9	1281	1378	24.75%	25.16%	50.09%	-0.56	-3.9	29
2012-07-30	Ventspils	W 1-0	46.0	1433	1411	39.86%	26.44%	33.70%	+0.12	+5.6	39
2012-07-30	@ Skonto	L 0-1	46.0	1411	1433	33.70%	26.44%	39.86%	-0.12	-5.6	33
2012-08-01	Jelgava	D 1-1	55.7	1409	1162	67.41%	19.16%	13.43%	+1.44	-1.9	32
2012-08-01	@ Liepajas Metalurgs	D 1-1	55.7	1162	1409	13.43%	19.16%	67.41%	-1.44	+1.9	18
2012-08-04	Daugava	L 0-5	29.6	1181	1382	16.21%	21.34%	62.46%	-1.19	-12.6	15
2012-08-04	@ Metta	W 5-0	29.6	1382	1181	62.46%	21.34%	16.21%	+1.19	+12.6	46
2012-08-04	Daugava Riga	D 2-2	58.4	1163	1104	45.13%	25.99%	28.88%	+0.34	-0.4	19
2012-08-04	@ Jelgava	D 2-2	58.4	1104	1163	28.88%	25.99%	45.13%	-0.34	+0.4	20
2012-08-04	Skonto	L 0-1	37.9	1277	1438	18.98%	22.98%	58.04%	-0.96	-3.4	29
2012-08-04	@ Spartaks Jurmala	W 1-0	37.9	1438	1277	58.04%	22.98%	18.98%	+0.96	+3.4	42
2012-08-05	FB Gulbene	W 4-0	31.6	1231	1113	52.84%	24.52%	22.63%	+0.68	+14.3	21
2012-08-05	@ Jurmala	L 0-4	31.6	1113	1231	22.63%	24.52%	52.84%	-0.68	-14.3	18
2012-08-05	Liepajas Metalurgs	W 1-0	46.2	1406	1407	36.57%	26.51%	36.92%	-0.02	+6.0	36
2012-08-05	@ Ventspils	L 0-1	46.2	1407	1406	36.92%	26.51%	36.57%	+0.02	-6.0	32
2012-08-08	Metta	W 3-2	44.5	1401	1169	65.85%	19.88%	14.27%	+1.35	+2.2	35
2012-08-08	@ Liepajas Metalurgs	L 2-3	44.5	1169	1401	14.27%	19.88%	65.85%	-1.35	-2.2	15
2012-08-08	Skonto	L 1-2	38.4	1163	1442	11.81%	17.63%	70.56%	-1.65	-1.9	19
2012-08-08	@ Jelgava	W 2-1	38.4	1442	1163	70.56%	17.63%	11.81%	+1.65	+1.9	45
2012-08-11	Jelgava	L 1-3	44.9	1167	1161	37.53%	26.50%	35.97%	+0.02	-9.9	15
2012-08-11	@ Metta	W 3-1	44.9	1161	1167	35.97%	26.50%	37.53%	-0.02	+9.9	22
2012-08-11	Jurmala	L 1-2	42.0	1104	1246	20.59%	23.74%	55.66%	-0.84	-3.4	20
2012-08-11	@ Daugava Riga	W 2-1	42.0	1246	1104	55.66%	23.74%	20.59%	+0.84	+3.4	24
2012-08-11	Skonto	D 0-0	52.9	1394	1444	30.12%	26.15%	43.73%	-0.30	+0.5	47
2012-08-11	@ Daugava	D 0-0	52.9	1444	1394	43.73%	26.15%	30.12%	+0.30	-0.5	46
2012-08-11	Spartaks Jurmala	W 2-1	43.9	1403	1274	54.18%	24.17%	21.65%	+0.75	+3.6	38
2012-08-11	@ Liepajas Metalurgs	L 1-2	43.9	1274	1403	21.65%	24.17%	54.18%	-0.75	-3.6	29
2012-08-11	Ventspils	L 1-2	36.9	1098	1412	10.27%	15.99%	73.74%	-1.85	-1.6	18
2012-08-11	@ FB Gulbene	W 2-1	36.9	1412	1098	73.74%	15.99%	10.27%	+1.85	+1.6	39
2012-08-18	Daugava	L 0-2	31.3	1171	1395	14.75%	20.26%	64.99%	-1.33	-4.8	22
2012-08-18	@ Jelgava	W 2-0	31.3	1395	1171	64.99%	20.26%	14.75%	+1.33	+4.9	50
2012-08-18	Daugava Riga	W 5-0	26.0	1413	1101	73.68%	16.02%	10.30%	+1.82	+7.5	42
2012-08-18	@ Ventspils	L 0-5	26.0	1101	1413	10.30%	16.02%	73.68%	-1.82	-7.5	20
2012-08-18	FB Gulbene	D 2-2	59.6	1270	1097	59.41%	22.50%	18.09%	+1.01	-1.0	30
2012-08-18	@ Spartaks Jurmala	D 2-2	59.6	1097	1270	18.09%	22.50%	59.41%	-1.01	+1.1	19
2012-08-18	Skonto	W 1-0	48.6	1407	1443	31.74%	26.31%	41.96%	-0.23	+6.6	41
2012-08-18	@ Liepajas Metalurgs	L 0-1	48.6	1443	1407	41.96%	26.31%	31.74%	+0.23	-6.6	46
2012-08-19	Metta	W 3-0	33.4	1249	1157	49.49%	25.28%	25.23%	+0.53	+12.1	27
2012-08-19	@ Jurmala	L 0-3	33.4	1157	1249	25.23%	25.28%	49.49%	-0.53	-12.1	15
2012-08-22	Jurmala	L 1-3	40.9	1166	1261	24.96%	25.21%	49.83%	-0.57	-7.1	22
2012-08-22	@ Jelgava	W 3-1	40.9	1261	1166	49.83%	25.21%	24.96%	+0.57	+7.1	30
2012-08-22	Liepajas Metalurgs	D 0-0	52.2	1400	1413	34.83%	26.48%	38.69%	-0.09	+0.1	51
2012-08-22	@ Daugava	D 0-0	52.2	1413	1400	38.69%	26.48%	34.83%	+0.09	-0.1	42
2012-08-22	Skonto	L 0-4	25.1	1098	1437	9.23%	14.78%	75.99%	-2.00	-5.3	19
2012-08-22	@ FB Gulbene	W 4-0	25.1	1437	1098	75.99%	14.78%	9.23%	+2.00	+5.3	49
2012-08-22	Spartaks Jurmala	L 2-5	37.9	1093	1269	17.90%	22.40%	59.70%	-1.04	-6.3	20
2012-08-22	@ Daugava Riga	W 5-2	37.9	1269	1093	59.70%	22.40%	17.90%	+1.04	+6.3	33
2012-08-22	Ventspils	L 0-2	29.8	1145	1421	11.95%	17.78%	70.27%	-1.63	-3.8	15
2012-08-22	@ Metta	W 2-0	29.8	1421	1145	70.27%	17.78%	11.95%	+1.63	+3.8	45
2012-08-25	Metta	L 3-4	60.1	1275	1141	54.82%	23.99%	21.19%	+0.78	-7.1	33
2012-08-25	@ Spartaks Jurmala	W 4-3	60.1	1141	1275	21.19%	23.99%	54.82%	-0.78	+7.1	18
2012-08-26	Daugava	L 2-4	44.7	1268	1400	21.45%	24.09%	54.45%	-0.78	-5.5	30
2012-08-26	@ Jurmala	W 4-2	44.7	1400	1268	54.45%	24.09%	21.45%	+0.78	+5.5	54
2012-08-26	Daugava Riga	D 1-1	57.0	1442	1087	77.36%	14.02%	8.62%	+2.07	-2.4	50
2012-08-26	@ Skonto	D 1-1	57.0	1087	1442	8.62%	14.02%	77.36%	-2.07	+2.4	21
2012-08-26	FB Gulbene	W 3-1	33.8	1413	1093	74.40%	15.64%	9.96%	+1.87	+2.7	45
2012-08-26	@ Liepajas Metalurgs	L 1-3	33.8	1093	1413	9.96%	15.64%	74.40%	-1.87	-2.6	19
2012-08-26	Jelgava	D 0-0	51.6	1424	1159	69.24%	18.29%	12.48%	+1.55	-2.2	46
2012-08-26	@ Ventspils	D 0-0	51.6	1159	1424	12.48%	18.29%	69.24%	-1.55	+2.2	23
2012-08-31	Jelgava	W 2-0	35.0	1268	1161	51.38%	24.88%	23.74%	+0.62	+7.9	36
2012-08-31	@ Spartaks Jurmala	L 0-2	35.0	1161	1268	23.74%	24.88%	51.38%	-0.62	-7.9	23
2012-09-01	FB Gulbene	W 1-0	31.5	1405	1090	73.95%	15.88%	10.17%	+1.84	+1.7	57
2012-09-01	@ Daugava	L 0-1	31.5	1090	1405	10.17%	15.88%	73.95%	-1.84	-1.7	19
2012-09-01	Liepajas Metalurgs	D 3-3	65.9	1089	1416	9.72%	15.35%	74.93%	-1.93	+1.4	22
2012-09-01	@ Daugava Riga	D 3-3	65.9	1416	1089	74.93%	15.35%	9.72%	+1.93	-1.4	46
2012-09-01	Skonto	L 1-2	37.9	1148	1440	11.21%	17.01%	71.77%	-1.72	-1.8	18
2012-09-01	@ Metta	W 2-1	37.9	1440	1148	71.77%	17.01%	11.21%	+1.72	+1.8	53
2012-09-01	Ventspils	L 0-1	37.6	1263	1422	19.13%	23.06%	57.81%	-0.95	-3.4	30
2012-09-01	@ Jurmala	W 1-0	37.6	1422	1263	57.81%	23.06%	19.13%	+0.95	+3.4	49
2012-09-09	Jurmala	L 0-1	35.6	1088	1259	18.25%	22.60%	59.15%	-1.02	-3.2	19
2012-09-09	@ FB Gulbene	W 1-0	35.6	1259	1088	59.15%	22.60%	18.25%	+1.02	+3.2	33
2012-09-15	Daugava Riga	W 2-1	47.8	1085	1091	35.95%	26.50%	37.55%	-0.04	+5.7	22
2012-09-15	@ FB Gulbene	L 1-2	47.8	1091	1085	37.55%	26.50%	35.95%	+0.04	-5.7	22
2012-09-15	Jelgava	W 2-0	29.6	1441	1153	71.43%	17.19%	11.38%	+1.68	+3.6	56
2012-09-15	@ Skonto	L 0-2	29.6	1153	1441	11.38%	17.19%	71.43%	-1.68	-3.6	23
2012-09-15	Jurmala	W 4-2	48.5	1276	1263	38.69%	26.48%	34.82%	+0.07	+8.4	39
2012-09-15	@ Spartaks Jurmala	L 2-4	48.5	1263	1276	34.82%	26.48%	38.69%	-0.07	-8.3	33
2012-09-15	Metta	W 4-1	32.8	1414	1146	69.51%	18.15%	12.34%	+1.56	+4.8	49
2012-09-15	@ Liepajas Metalurgs	L 1-4	32.8	1146	1414	12.34%	18.15%	69.51%	-1.56	-4.8	18
2012-09-16	Daugava	W 1-0	45.8	1426	1407	39.40%	26.46%	34.14%	+0.10	+5.6	52
2012-09-16	@ Ventspils	L 0-1	45.8	1407	1426	34.14%	26.46%	39.40%	-0.10	-5.6	57
2012-09-19	Daugava Riga	W 3-0	26.2	1401	1085	74.04%	15.83%	10.13%	+1.85	+4.5	60
2012-09-19	@ Daugava	L 0-3	26.2	1085	1401	10.13%	15.83%	74.04%	-1.85	-4.5	22
2012-09-19	Jelgava	W 2-0	30.0	1419	1150	69.63%	18.09%	12.27%	+1.57	+3.9	52
2012-09-19	@ Liepajas Metalurgs	L 0-2	30.0	1150	1419	12.27%	18.09%	69.63%	-1.57	-3.9	23
2012-09-19	Jurmala	W 1-0	36.7	1445	1254	61.40%	21.76%	16.84%	+1.11	+3.0	59
2012-09-19	@ Skonto	L 0-1	36.7	1254	1445	16.84%	21.76%	61.40%	-1.11	-3.0	33
2012-09-19	Metta	L 0-3	34.9	1091	1141	29.98%	26.13%	43.89%	-0.31	-14.0	22
2012-09-19	@ FB Gulbene	W 3-0	34.9	1141	1091	43.89%	26.13%	29.98%	+0.31	+14.0	21
2012-09-19	Ventspils	L 0-3	33.2	1284	1431	20.16%	23.55%	56.30%	-0.87	-9.8	39
2012-09-19	@ Spartaks Jurmala	W 3-0	33.2	1431	1284	56.30%	23.55%	20.16%	+0.87	+9.8	55
2012-09-22	Daugava	L 0-3	33.3	1275	1406	21.48%	24.10%	54.42%	-0.78	-10.4	39
2012-09-22	@ Spartaks Jurmala	W 3-0	33.3	1406	1275	54.42%	24.10%	21.48%	+0.78	+10.4	63
2012-09-22	Skonto	W 1-0	48.6	1441	1448	35.75%	26.50%	37.75%	-0.05	+6.1	58
2012-09-22	@ Ventspils	L 0-1	48.6	1448	1441	37.75%	26.50%	35.75%	+0.05	-6.1	59
2012-09-23	Daugava Riga	W 4-3	52.1	1155	1080	47.19%	25.69%	27.12%	+0.43	+4.1	24
2012-09-23	@ Metta	L 3-4	52.1	1080	1155	27.12%	25.69%	47.19%	-0.43	-4.1	22
2012-09-23	FB Gulbene	D 0-0	48.5	1146	1077	46.40%	25.81%	27.78%	+0.39	-0.7	24
2012-09-23	@ Jelgava	D 0-0	48.5	1077	1146	27.78%	25.81%	46.40%	-0.39	+0.7	23
2012-09-23	Liepajas Metalurgs	L 0-2	33.9	1251	1423	18.19%	22.56%	59.25%	-1.02	-6.1	33
2012-09-23	@ Jurmala	W 2-0	33.9	1423	1251	59.25%	22.56%	18.19%	+1.02	+6.1	55
2012-09-26	Jelgava	L 1-2	44.7	1076	1145	27.81%	25.82%	46.38%	-0.42	-4.5	22
2012-09-26	@ Daugava Riga	W 2-1	44.7	1145	1076	46.38%	25.82%	27.81%	+0.42	+4.5	27
2012-09-26	Metta	W 1-0	33.5	1416	1159	68.40%	18.69%	12.91%	+1.50	+2.2	66
2012-09-26	@ Daugava	L 0-1	33.5	1159	1416	12.91%	18.69%	68.40%	-1.50	-2.2	24
2012-09-26	Spartaks Jurmala	D 0-0	51.5	1442	1264	59.91%	22.32%	17.77%	+1.03	-1.6	60
2012-09-26	@ Skonto	D 0-0	51.5	1264	1442	17.77%	22.32%	59.91%	-1.03	+1.6	40
2012-09-26	Ventspils	W 1-0	48.6	1429	1447	34.23%	26.46%	39.31%	-0.12	+6.3	58
2012-09-26	@ Liepajas Metalurgs	L 0-1	48.6	1447	1429	39.31%	26.46%	34.23%	+0.12	-6.3	58
2012-09-29	Liepajas Metalurgs	L 0-3	32.2	1266	1435	18.36%	22.66%	58.98%	-1.01	-8.9	40
2012-09-29	@ Spartaks Jurmala	W 3-0	32.2	1435	1266	58.98%	22.66%	18.36%	+1.01	+8.9	61
2012-09-30	Daugava	D 0-0	53.4	1440	1419	39.85%	26.44%	33.71%	+0.12	-0.2	61
2012-09-30	@ Skonto	D 0-0	53.4	1419	1440	33.71%	26.44%	39.85%	-0.12	+0.2	67
2012-09-30	Daugava Riga	L 2-3	58.2	1245	1072	59.42%	22.50%	18.08%	+1.01	-7.8	33
2012-09-30	@ Jurmala	W 3-2	58.2	1072	1245	18.08%	22.50%	59.42%	-1.01	+7.8	25
2012-09-30	FB Gulbene	W 4-0	24.4	1441	1077	78.03%	13.65%	8.32%	+2.12	+4.7	61
2012-09-30	@ Ventspils	L 0-4	24.4	1077	1441	8.32%	13.65%	78.03%	-2.12	-4.7	23
2012-09-30	Metta	D 1-1	52.8	1150	1157	35.68%	26.50%	37.82%	-0.06	+0.1	28
2012-09-30	@ Jelgava	D 1-1	52.8	1157	1150	37.82%	26.50%	35.68%	+0.06	-0.1	25
2012-10-03	Liepajas Metalurgs	L 0-3	43.1	1445	1444	36.91%	26.51%	36.58%	+0.00	-16.4	61
2012-10-03	@ Ventspils	W 3-0	43.1	1444	1445	36.58%	26.51%	36.91%	+0.00	+16.4	64
2012-10-06	Jelgava	D 0-0	51.5	1419	1150	69.60%	18.11%	12.29%	+1.57	-2.2	68
2012-10-06	@ Daugava	D 0-0	51.5	1150	1419	12.29%	18.11%	69.60%	-1.57	+2.2	29
2012-10-06	Jurmala	L 0-3	33.8	1157	1237	26.53%	25.57%	47.90%	-0.48	-12.6	25
2012-10-06	@ Metta	W 3-0	33.8	1237	1157	47.90%	25.57%	26.53%	+0.48	+12.6	36
2012-10-06	Liepajas Metalurgs	W 3-1	51.9	1440	1461	33.86%	26.44%	39.70%	-0.13	+10.3	64
2012-10-06	@ Skonto	L 1-3	51.9	1461	1440	39.70%	26.44%	33.86%	+0.13	-10.3	64
2012-10-06	Spartaks Jurmala	L 0-1	35.2	1073	1257	17.31%	22.04%	60.65%	-1.09	-3.1	23
2012-10-06	@ FB Gulbene	W 1-0	35.2	1257	1073	60.65%	22.04%	17.31%	+1.09	+3.1	43
2012-10-06	Ventspils	L 0-4	24.7	1080	1429	8.82%	14.28%	76.90%	-2.06	-5.0	25
2012-10-06	@ Daugava Riga	W 4-0	24.7	1429	1080	76.90%	14.28%	8.82%	+2.06	+5.0	64
2012-10-20	Daugava	L 1-3	51.4	1450	1416	41.57%	26.34%	32.09%	+0.19	-10.7	64
2012-10-20	@ Liepajas Metalurgs	W 3-1	51.4	1416	1450	32.09%	26.34%	41.57%	-0.19	+10.7	71
2012-10-20	Daugava Riga	D 2-2	59.7	1260	1075	60.80%	21.99%	17.21%	+1.08	-1.1	44
2012-10-20	@ Spartaks Jurmala	D 2-2	59.7	1075	1260	17.21%	21.99%	60.80%	-1.08	+1.1	26
2012-10-21	FB Gulbene	W 3-1	32.3	1450	1070	79.39%	12.88%	7.73%	+2.22	+2.0	67
2012-10-21	@ Skonto	L 1-3	32.3	1070	1450	7.73%	12.88%	79.39%	-2.22	-2.0	23
2012-10-21	Jelgava	W 3-1	40.8	1250	1152	50.22%	25.13%	24.65%	+0.56	+7.0	39
2012-10-21	@ Jurmala	L 1-3	40.8	1152	1250	24.65%	25.13%	50.22%	-0.56	-7.0	29
2012-10-21	Metta	W 4-0	26.7	1434	1144	71.58%	17.11%	11.31%	+1.69	+6.8	67
2012-10-21	@ Ventspils	L 0-4	26.7	1144	1434	11.31%	17.11%	71.58%	-1.69	-6.8	25
2012-10-27	Jurmala	W 2-0	34.1	1427	1257	59.06%	22.63%	18.31%	+0.99	+6.1	74
2012-10-27	@ Daugava	L 0-2	34.1	1257	1427	18.31%	22.63%	59.06%	-0.99	-6.1	39
2012-10-27	Liepajas Metalurgs	L 1-3	32.5	1068	1440	8.02%	13.26%	78.72%	-2.19	-2.0	23
2012-10-27	@ FB Gulbene	W 3-1	32.5	1440	1068	78.72%	13.26%	8.02%	+2.19	+2.0	67
2012-10-27	Skonto	L 1-3	32.4	1076	1452	7.86%	13.06%	79.08%	-2.22	-2.0	26
2012-10-27	@ Daugava Riga	W 3-1	32.4	1452	1076	79.08%	13.06%	7.86%	+2.22	+2.0	70
2012-10-27	Ventspils	L 0-1	32.4	1145	1441	11.02%	16.81%	72.18%	-1.75	-1.8	29
2012-10-27	@ Jelgava	W 1-0	32.4	1441	1145	72.18%	16.81%	11.02%	+1.75	+1.8	70
2012-10-28	Spartaks Jurmala	D 3-3	62.9	1138	1259	22.39%	24.44%	53.17%	-0.72	+0.6	26
2012-10-28	@ Metta	D 3-3	62.9	1259	1138	53.17%	24.44%	22.39%	+0.72	-0.6	45
2012-11-04	Daugava	L 1-3	32.6	1066	1433	8.17%	13.46%	78.37%	-2.17	-2.1	23
2012-11-04	@ FB Gulbene	W 3-1	32.6	1433	1066	78.37%	13.46%	8.17%	+2.17	+2.1	77
2012-11-04	Daugava Riga	W 4-0	24.3	1442	1074	78.41%	13.44%	8.15%	+2.15	+4.6	70
2012-11-04	@ Liepajas Metalurgs	L 0-4	24.3	1074	1442	8.15%	13.44%	78.41%	-2.15	-4.6	26
2012-11-04	Jelgava	D 1-1	53.5	1258	1143	52.42%	24.63%	22.95%	+0.66	-1.0	46
2012-11-04	@ Spartaks Jurmala	D 1-1	53.5	1143	1258	22.95%	24.63%	52.42%	-0.66	+1.0	30
2012-11-04	Jurmala	W 2-1	41.9	1443	1251	61.52%	21.71%	16.77%	+1.12	+2.8	73
2012-11-04	@ Ventspils	L 1-2	41.9	1251	1443	16.77%	21.71%	61.52%	-1.12	-2.8	39
2012-11-04	Metta	W 5-0	26.3	1454	1138	74.00%	15.85%	10.15%	+1.84	+7.3	73
2012-11-04	@ Skonto	L 0-5	26.3	1138	1454	10.15%	15.85%	74.00%	-1.84	-7.3	26
2012-11-10	FB Gulbene	D 1-1	52.7	1069	1064	37.53%	26.50%	35.97%	+0.02	-0.0	27
2012-11-10	@ Daugava Riga	D 1-1	52.7	1064	1069	35.97%	26.50%	37.53%	-0.02	+0.0	24
2012-11-10	Liepajas Metalurgs	W 1-0	51.0	1131	1446	10.18%	15.88%	73.94%	-1.86	+10.2	29
2012-11-10	@ Metta	L 0-1	51.0	1446	1131	73.94%	15.88%	10.18%	+1.86	-10.2	70
2012-11-10	Skonto	D 1-1	56.9	1144	1462	10.08%	15.77%	74.14%	-1.88	+2.2	31
2012-11-10	@ Jelgava	D 1-1	56.9	1462	1144	74.14%	15.77%	10.08%	+1.88	-2.2	74
2012-11-10	Spartaks Jurmala	L 0-3	37.0	1248	1257	35.44%	26.50%	38.07%	-0.07	-15.9	39
2012-11-10	@ Jurmala	W 3-0	37.0	1257	1248	38.07%	26.50%	35.44%	+0.07	+15.9	49
2012-11-10	Ventspils	D 0-0	54.1	1435	1446	35.31%	26.49%	38.20%	-0.07	+0.1	78
2012-11-10	@ Daugava	D 0-0	54.1	1446	1435	38.20%	26.49%	35.31%	+0.07	-0.1	74

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	2012-04-28	9.65%	FB Gulbene	1094	1	@ Liepajas Metalurgs	1422	0
2	2012-11-10	10.18%	@ Metta	1131	1	Liepajas Metalurgs	1446	0
3	2012-04-28	12.95%	Jelgava	1178	1	@ Ventspils	1434	0
4	2012-05-06	14.52%	Jelgava	1180	3	@ Skonto	1407	2
5	2012-05-06	15.69%	@ Metta	1206	4	Liepajas Metalurgs	1414	1
6	2012-04-14	17.13%	Spartaks Jurmala	1238	2	@ Liepajas Metalurgs	1425	1
7	2012-09-30	18.08%	Daugava Riga	1072	3	@ Jurmala	1245	2
8	2012-03-31	18.43%	@ Daugava Riga	1079	1	Metta	1247	0
9	2012-05-13	20.01%	@ Spartaks Jurmala	1272	2	Ventspils	1420	0
10	2012-07-01	20.77%	@ Jelgava	1151	3	Spartaks Jurmala	1290	2
11	2012-05-26	20.93%	@ FB Gulbene	1128	2	Jurmala	1266	0
12	2012-08-25	21.19%	Metta	1141	4	@ Spartaks Jurmala	1275	3
13	2012-05-13	21.62%	@ FB Gulbene	1097	5	Metta	1227	1
14	2012-05-17	22.38%	Daugava Riga	1081	3	@ Metta	1203	0
15	2012-04-28	22.92%	@ Jurmala	1248	6	Daugava	1363	1
16	2012-06-27	23.32%	@ Metta	1186	2	Spartaks Jurmala	1298	1
17	2012-04-07	23.52%	Daugava Riga	1087	4	@ Jelgava	1196	3
18	2012-05-06	25.91%	Daugava	1341	2	@ Ventspils	1427	1
19	2012-05-26	26.79%	@ Daugava Riga	1103	1	Jelgava	1181	0
20	2012-07-08	27.58%	@ Daugava	1352	3	Ventspils	1423	0
21	2012-05-16	28.02%	FB Gulbene	1121	1	@ Jelgava	1188	0
22	2012-08-18	31.74%	@ Liepajas Metalurgs	1407	1	Skonto	1443	0
23	2012-10-20	32.09%	Daugava	1416	3	@ Liepajas Metalurgs	1450	1
24	2012-04-01	33.40%	@ Skonto	1398	1	Ventspils	1422	0
25	2012-10-06	33.86%	@ Skonto	1440	3	Liepajas Metalurgs	1461	1

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	2012-04-28	28.71	@ Jurmala	6	1248	22.92%	Daugava	1	1363	52.45%	24.62%
2	2012-05-13	24.08	@ FB Gulbene	5	1097	21.62%	Metta	1	1227	54.23%	24.16%
3	2012-05-17	21.77	Daugava Riga	3	1081	22.38%	@ Metta	0	1203	53.19%	24.44%
4	2012-05-06	21.13	@ Metta	4	1206	15.69%	Liepajas Metalurgs	1	1414	63.34%	20.97%
5	2012-07-08	19.58	@ Daugava	3	1352	27.58%	Ventspils	0	1423	46.65%	25.78%
6	2012-10-03	16.36	Liepajas Metalurgs	3	1444	36.58%	@ Ventspils	0	1445	36.91%	26.51%
7	2012-11-10	15.87	Spartaks Jurmala	3	1257	38.07%	@ Jurmala	0	1248	35.44%	26.50%
8	2012-05-13	15.75	@ Spartaks Jurmala	2	1272	20.01%	Ventspils	0	1420	56.51%	23.48%
9	2012-05-26	15.45	@ FB Gulbene	2	1128	20.93%	Jurmala	0	1266	55.19%	23.88%
10	2012-06-07	14.40	@ Skonto	3	1398	42.52%	Daugava	0	1358	31.21%	26.26%
11	2012-08-05	14.30	@ Jurmala	4	1231	52.84%	FB Gulbene	0	1113	22.63%	24.52%
12	2012-09-19	13.95	Metta	3	1141	43.89%	@ FB Gulbene	0	1091	29.98%	26.13%
13	2012-06-07	13.71	Metta	4	1175	36.90%	@ Jelgava	1	1174	36.59%	26.51%
14	2012-10-06	12.60	Jurmala	3	1237	47.90%	@ Metta	0	1157	26.53%	25.57%
15	2012-08-04	12.60	Daugava	5	1382	62.46%	@ Metta	0	1181	16.21%	21.34%
16	2012-08-19	12.07	@ Jurmala	3	1249	49.49%	Metta	0	1157	25.23%	25.28%
17	2012-04-18	11.63	Jurmala	2	1227	34.97%	@ Metta	0	1239	38.55%	26.48%
18	2012-06-30	11.20	@ Skonto	5	1421	65.29%	Metta	0	1194	14.58%	20.13%
19	2012-10-20	10.67	Daugava	3	1416	32.09%	@ Liepajas Metalurgs	1	1450	41.57%	26.34%
20	2012-04-22	10.65	Ventspils	6	1423	61.92%	@ Metta	1	1228	16.53%	21.55%
21	2012-09-22	10.42	Daugava	3	1406	54.42%	@ Spartaks Jurmala	0	1275	21.48%	24.10%
22	2012-04-28	10.34	FB Gulbene	1	1094	9.65%	@ Liepajas Metalurgs	0	1422	75.08%	15.27%
23	2012-10-06	10.30	@ Skonto	3	1440	33.86%	Liepajas Metalurgs	1	1461	39.70%	26.44%
24	2012-11-10	10.24	@ Metta	1	1131	10.18%	Liepajas Metalurgs	0	1446	73.94%	15.88%
25	2012-08-11	9.87	Jelgava	3	1161	35.97%	@ Metta	1	1167	37.53%	26.50%

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	2012-09-01	65.9	@ Daugava Riga	3	1089	9.72%	Liepajas Metalurgs	3	1416	74.93%	15.35%
2	2012-03-25	64.4	@ Jurmala	3	1233	18.70%	Skonto	3	1399	58.46%	22.84%
3	2012-10-28	62.9	@ Metta	3	1138	22.39%	Spartaks Jurmala	3	1259	53.17%	24.44%
4	2012-05-26	60.5	@ Spartaks Jurmala	2	1288	23.35%	Skonto	2	1399	51.89%	24.76%
5	2012-06-06	60.5	@ Spartaks Jurmala	2	1289	23.29%	Liepajas Metalurgs	2	1400	51.97%	24.74%
6	2012-08-25	60.1	Metta	4	1141	21.19%	@ Spartaks Jurmala	3	1275	54.82%	23.99%
7	2012-05-06	60.0	Jelgava	3	1180	14.52%	@ Skonto	2	1407	65.41%	20.08%
8	2012-06-20	59.9	@ Spartaks Jurmala	2	1299	61.48%	Daugava Riga	2	1107	16.80%	21.72%
9	2012-10-20	59.7	@ Spartaks Jurmala	2	1260	60.80%	Daugava Riga	2	1075	17.21%	21.99%
10	2012-05-16	59.6	@ Spartaks Jurmala	2	1288	28.33%	Daugava	2	1352	45.76%	25.90%
11	2012-08-18	59.6	@ Spartaks Jurmala	2	1270	59.41%	FB Gulbene	2	1097	18.09%	22.50%
12	2012-04-07	59.2	Daugava Riga	4	1087	23.52%	@ Jelgava	3	1196	51.68%	24.81%
13	2012-04-07	59.0	@ Jurmala	2	1229	53.45%	FB Gulbene	2	1105	22.18%	24.37%
14	2012-08-04	58.4	@ Jelgava	2	1163	45.13%	Daugava Riga	2	1104	28.88%	25.99%
15	2012-07-07	58.3	@ Daugava Riga	2	1109	35.51%	FB Gulbene	2	1118	37.99%	26.50%
16	2012-09-30	58.2	Daugava Riga	3	1072	18.08%	@ Jurmala	2	1245	59.42%	22.50%
17	2012-07-01	57.5	@ Jelgava	3	1151	20.77%	Spartaks Jurmala	2	1290	55.41%	23.82%
18	2012-08-26	57.0	@ Skonto	1	1442	77.36%	Daugava Riga	1	1087	8.62%	14.02%
19	2012-11-10	56.9	@ Jelgava	1	1144	10.08%	Skonto	1	1462	74.14%	15.77%
20	2012-06-26	56.4	@ Daugava Riga	1	1109	10.23%	Skonto	1	1423	73.84%	15.93%
21	2012-06-27	56.0	@ FB Gulbene	1	1120	11.59%	Liepajas Metalurgs	1	1404	70.99%	17.41%
22	2012-04-15	55.8	@ Daugava	1	1359	30.28%	Skonto	1	1407	43.56%	26.17%
23	2012-08-01	55.7	@ Liepajas Metalurgs	1	1409	67.41%	Jelgava	1	1162	13.43%	19.16%
24	2012-07-01	55.5	@ Ventspils	1	1425	60.80%	Jurmala	1	1239	17.21%	21.99%
25	2012-04-14	54.9	Spartaks Jurmala	2	1238	17.13%	@ Liepajas Metalurgs	1	1425	60.94%	21.93%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2012-11-04	24.3	@ Liepajas Metalurgs	4	1442	78.41%	Daugava Riga	0	1074	8.15%	13.44%
2	2012-09-30	24.4	@ Ventspils	4	1441	78.03%	FB Gulbene	0	1077	8.32%	13.65%
3	2012-10-06	24.7	Ventspils	4	1429	76.90%	@ Daugava Riga	0	1080	8.82%	14.28%
4	2012-08-22	25.1	Skonto	4	1437	75.99%	@ FB Gulbene	0	1098	9.23%	14.78%
5	2012-08-18	26.0	@ Ventspils	5	1413	73.68%	Daugava Riga	0	1101	10.30%	16.02%
6	2012-09-19	26.2	@ Daugava	3	1401	74.04%	Daugava Riga	0	1085	10.13%	15.83%
7	2012-11-04	26.3	@ Skonto	5	1454	74.00%	Metta	0	1138	10.15%	15.85%
8	2012-04-15	26.5	@ Ventspils	3	1415	73.41%	FB Gulbene	0	1106	10.43%	16.16%
9	2012-10-21	26.7	@ Ventspils	4	1434	71.58%	Metta	0	1144	11.31%	17.11%
10	2012-03-24	26.9	Daugava	4	1348	68.92%	@ Daugava Riga	0	1086	12.64%	18.44%
11	2012-06-07	27.6	Ventspils	5	1405	68.80%	@ FB Gulbene	0	1144	12.70%	18.50%
12	2012-07-15	27.7	Daugava	3	1372	69.01%	@ Daugava Riga	0	1109	12.59%	18.40%
13	2012-04-18	28.2	@ Ventspils	2	1420	74.79%	Daugava Riga	0	1095	9.78%	15.42%
14	2012-05-02	28.6	@ Daugava	3	1335	65.72%	FB Gulbene	0	1104	14.34%	19.94%
15	2012-06-30	29.1	@ Skonto	5	1421	65.29%	Metta	0	1194	14.58%	20.13%
16	2012-08-04	29.6	Daugava	5	1382	62.46%	@ Metta	0	1181	16.21%	21.34%
17	2012-09-15	29.6	@ Skonto	2	1441	71.43%	Jelgava	0	1153	11.38%	17.19%
18	2012-08-22	29.8	Ventspils	2	1421	70.27%	@ Metta	0	1145	11.95%	17.78%
19	2012-09-19	30.0	@ Liepajas Metalurgs	2	1419	69.63%	Jelgava	0	1150	12.27%	18.09%
20	2012-06-27	30.1	Ventspils	2	1421	69.27%	@ Jelgava	0	1155	12.46%	18.27%
21	2012-06-30	30.9	Daugava	2	1348	65.14%	@ FB Gulbene	0	1122	14.66%	20.20%
22	2012-06-16	31.1	Spartaks Jurmala	3	1289	57.33%	@ FB Gulbene	0	1134	19.45%	23.22%
23	2012-08-18	31.3	Daugava	2	1395	64.99%	@ Jelgava	0	1171	14.75%	20.26%
24	2012-04-28	31.5	@ Skonto	1	1403	73.82%	Daugava Riga	0	1089	10.23%	15.94%
25	2012-09-01	31.5	@ Daugava	1	1405	73.95%	FB Gulbene	0	1090	10.17%	15.88%