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2010 Virsliga Season

135 games

Final

Champion

Skonto

69 points

Relegated

No relegation

Biggest Overachiever

Daugava Daugavpils

10.17 points above expected

56 points · 45.83 expected points

Biggest Disappointment

Jelgava

12.17 points below expected

25 points · 37.17 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 Skonto 27 22 3 2 69 86 16 +70 60.28 +8.72
2 Ventspils 27 20 3 4 63 68 18 +50 58.11 +4.89
3 Liepajas Metalurgs 27 19 4 4 61 70 20 +50 58.76 +2.24
4 Daugava Daugavpils 27 16 8 3 56 35 16 +19 45.83 +10.17
5 FK Jurmala-VV 27 8 4 15 28 30 45 -15 26.74 +1.26
6 Jelgava 27 6 7 14 25 36 45 -9 37.17 -12.17
7 Blazma 27 7 3 17 24 27 57 -30 23.51 +0.49
8 JFK Olimps 27 5 6 16 21 31 63 -32 28.73 -7.73
9 Tranzits Ventspils 27 5 4 18 19 17 56 -39 21.73 -2.73
10 Jauniga Riga 27 4 4 19 16 16 80 -64 21.65 -5.65

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 Daugavpils 56 45.83 +10.17
2 Skonto 69 60.28 +8.72
3 Ventspils 63 58.11 +4.89
4 Liepajas Metalurgs 61 58.76 +2.24
5 FK Jurmala-VV 28 26.74 +1.26

Biggest Disappointments

# Team Actual Sim vsSim
1 Jelgava 25 37.17 -12.17
2 JFK Olimps 21 28.73 -7.73
3 Jauniga Riga 16 21.65 -5.65
4 Tranzits Ventspils 19 21.73 -2.73
5 Blazma 24 23.51 +0.49

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 FK Jurmala-VV 4 Jun 30 – Aug 8 1 in 179
2 Blazma 2 Apr 17 – Apr 24 1 in 19
3 Daugava Daugavpils 4 Jun 19 – Jul 25 1 in 15
4 Ventspils 7 May 29 – Jul 25 1 in 14
5 Jauniga Riga 2 Jun 19 – Jul 3 1 in 12

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Blazma 8 May 30 – Aug 7 1 in 170
2 JFK Olimps 7 Apr 18 – Jun 2 1 in 96
3 Liepajas Metalurgs 2 Jun 30 – Jul 8 1 in 68
4 Jelgava 5 Jun 25 – Aug 7 1 in 48
5 Tranzits Ventspils 5 Jun 12 – Aug 8 1 in 18

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Daugava Daugavpils 14 Jun 13 – Oct 1 1 in 284
2 Jauniga Riga 3 Aug 28 – Sep 15 1 in 24
3 FK Jurmala-VV 4 Jun 30 – Aug 8 1 in 18
4 JFK Olimps 4 Oct 2 – Oct 27 1 in 9
5 Liepajas Metalurgs 10 Apr 10 – Jun 26 1 in 6

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 JFK Olimps 9 Aug 15 – Oct 17 1 in 112
2 Jelgava 8 Aug 28 – Oct 23 1 in 40
3 FK Jurmala-VV 9 Aug 15 – Oct 17 1 in 23
4 Blazma 10 May 30 – Aug 22 1 in 20
5 Tranzits Ventspils 10 Jun 12 – Sep 15 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 Form Elo Δ (5) Points (5) Expected (5) Actual − Exp
Skonto 1744 69 -3 10 10.6 -0.6
Ventspils 1684 63 +5 10 9.7 +0.3
Liepajas Metalurgs 1707 61 +19 12 10.5 +1.5
Daugava Daugavpils 1599 56 +31 12 8.9 +3.1
FK Jurmala-VV 1229 28 -51 4 5.9 -1.9
Jelgava 1348 25 +5 8 9.6 -1.6
Blazma 1250 24 +24 7 6.2 +0.8
JFK Olimps 1295 21 +50 7 4.7 +2.3
Tranzits Ventspils 1146 19 -21 1 2.6 -1.6
Jauniga Riga 1078 16 -60 0 2.2 -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 BLA DD FJ JO JR JEL LM SKO TV VEN
Blazma —
1-0-2
1.56
1-1-1
3.85
1-1-1
3.89
2-0-1
4.47
0-1-2
3.08
0-0-3
0.97
0-0-3
0.95
2-0-1
4.07
0-0-3
1.00
Daugava Daugavpils
2-0-1
6.94
 —
3-0-0
6.54
2-1-0
6.04
2-1-0
6.87
1-2-0
5.57
1-2-0
2.47
1-1-1
2.24
3-0-0
6.94
1-1-1
2.49
FK Jurmala-VV
1-1-1
4.61
0-0-3
1.94
 —
1-1-1
4.08
1-0-2
4.96
2-1-0
2.69
1-0-2
1.00
0-0-3
1.06
2-1-0
5.10
0-0-3
1.14
JFK Olimps
1-1-1
4.57
0-1-2
2.44
1-1-1
4.38
 —
1-2-0
5.00
2-0-1
3.30
0-0-3
1.08
0-0-3
1.33
0-1-2
5.06
0-0-3
1.49
Jauniga Riga
1-0-2
3.99
0-1-2
1.65
2-0-1
3.51
0-2-1
3.47
 —
0-1-2
2.05
0-0-3
0.97
0-0-3
0.92
1-0-2
4.37
0-0-3
0.90
Jelgava
2-1-0
5.39
0-2-1
2.89
0-1-2
5.78
1-0-2
5.17
2-1-0
6.43
 —
0-0-3
1.63
0-0-3
1.61
1-2-0
6.07
0-0-3
1.83
Liepajas Metalurgs
3-0-0
7.58
0-2-1
6.00
2-0-1
7.54
3-0-0
7.46
3-0-0
7.59
3-0-0
6.87
 —
0-1-2
3.88
3-0-0
7.71
2-1-0
3.99
Skonto
3-0-0
7.62
1-1-1
6.24
3-0-0
7.48
3-0-0
7.19
3-0-0
7.66
3-0-0
6.90
2-1-0
4.58
 —
3-0-0
7.61
1-1-1
4.78
Tranzits Ventspils
1-0-2
4.39
0-0-3
1.56
0-1-2
3.36
2-1-0
3.41
2-0-1
4.09
0-2-1
2.40
0-0-3
0.85
0-0-3
0.94
 —
0-0-3
0.90
Ventspils
3-0-0
7.55
1-1-1
5.98
3-0-0
7.39
3-0-0
7.02
3-0-0
7.67
3-0-0
6.66
0-1-2
4.47
1-1-1
3.68
3-0-0
7.66
 —

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 0.82 +7.9
Allowed 0.89 -8.7
Differential 0.94 +4.6

Scoreline Distribution

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

↓ Scored | Allowed →012345+Total
04.44%8.15%6.67%2.59%3.70%5.19%30.74%
18.15%8.15%7.04%2.96%2.59%0.37%29.26%
26.67%7.04%3.70%1.11%1.11%—19.63%
32.59%2.96%1.11%0.74%——7.41%
43.70%2.59%1.11%———7.41%
5+5.19%0.37%————5.56%
Total30.74%29.26%19.63%7.41%7.41%5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 1.54 1.54 +0.00
SD 1.64 1.64 2.74
CV 1.06 1.06 —
Max 9 9 +9
Min 0 0 -9

Games Played: 135

↓ Scored | Allowed →012345+Total
07.41%3.70%11.11%—11.11%7.41%40.74%
13.70%3.70%7.41%11.11%7.41%—33.33%
27.41%3.70%—3.70%——14.81%
33.70%3.70%————7.41%
43.70%—————3.70%
5+———————
Total25.93%14.81%18.52%14.81%18.52%7.41%100%

Summary Statistics

Scored Allowed Difference
Mean 1.00 2.11 -1.11
SD 1.11 1.76 2.49
CV 1.11 0.83 —
Max 4 6 +4
Min 0 0 -6

Games Played: 27

↓ Scored | Allowed →012345+Total
03.70%7.41%————11.11%
133.33%22.22%—3.70%——59.26%
218.52%—————18.52%
3—7.41%—3.70%——11.11%
4———————
5+———————
Total55.56%37.04%—7.41%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.30 0.59 +0.70
SD 0.82 0.84 1.07
CV 0.64 1.42 —
Max 3 3 +2
Min 0 0 -2

Games Played: 27

↓ Scored | Allowed →012345+Total
03.70%18.52%7.41%3.70%3.70%—37.04%
1—7.41%7.41%3.70%7.41%—25.93%
27.41%14.81%3.70%—3.70%—29.63%
3——3.70%———3.70%
43.70%—————3.70%
5+———————
Total14.81%40.74%22.22%7.41%14.81%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.11 1.67 -0.56
SD 1.09 1.27 1.83
CV 0.98 0.76 —
Max 4 4 +4
Min 0 0 -4

Games Played: 27

↓ Scored | Allowed →012345+Total
0—3.70%18.52%11.11%11.11%3.70%48.15%
1—7.41%3.70%3.70%—3.70%18.52%
2—11.11%14.81%———25.93%
33.70%—————3.70%
4———————
5+3.70%—————3.70%
Total7.41%22.22%37.04%14.81%11.11%7.41%100%

Summary Statistics

Scored Allowed Difference
Mean 1.15 2.33 -1.19
SD 1.83 1.62 2.97
CV 1.60 0.69 —
Max 9 7 +9
Min 0 0 -7

Games Played: 27

↓ Scored | Allowed →012345+Total
0—14.81%7.41%3.70%7.41%22.22%55.56%
111.11%7.41%—3.70%7.41%—29.63%
2—3.70%7.41%3.70%——14.81%
3———————
4———————
5+———————
Total11.11%25.93%14.81%11.11%14.81%22.22%100%

Summary Statistics

Scored Allowed Difference
Mean 0.59 2.96 -2.37
SD 0.75 2.46 2.83
CV 1.26 0.83 —
Max 2 9 +1
Min 0 0 -9

Games Played: 27

↓ Scored | Allowed →012345+Total
07.41%3.70%—3.70%—3.70%18.52%
13.70%14.81%29.63%3.70%3.70%—55.56%
23.70%3.70%——3.70%—11.11%
3———3.70%——3.70%
47.41%3.70%————11.11%
5+———————
Total22.22%25.93%29.63%11.11%7.41%3.70%100%

Summary Statistics

Scored Allowed Difference
Mean 1.33 1.67 -0.33
SD 1.18 1.36 2.00
CV 0.88 0.82 —
Max 4 5 +4
Min 0 0 -5

Games Played: 27

↓ Scored | Allowed →012345+Total
011.11%3.70%————14.81%
13.70%3.70%11.11%———18.52%
23.70%11.11%————14.81%
37.41%3.70%7.41%———18.52%
414.81%7.41%3.70%———25.93%
5+7.41%—————7.41%
Total48.15%29.63%22.22%———100%

Summary Statistics

Scored Allowed Difference
Mean 2.59 0.74 +1.85
SD 1.93 0.81 2.23
CV 0.74 1.10 —
Max 8 2 +8
Min 0 0 -1

Games Played: 27

↓ Scored | Allowed →012345+Total
03.70%3.70%————7.41%
17.41%3.70%3.70%———14.81%
27.41%11.11%3.70%———22.22%
33.70%7.41%————11.11%
47.41%7.41%3.70%———18.52%
5+22.22%3.70%————25.93%
Total51.85%37.04%11.11%———100%

Summary Statistics

Scored Allowed Difference
Mean 3.19 0.59 +2.59
SD 2.00 0.69 2.29
CV 0.63 1.17 —
Max 7 2 +7
Min 0 0 -1

Games Played: 27

↓ Scored | Allowed →012345+Total
03.70%11.11%22.22%3.70%3.70%14.81%59.26%
17.41%7.41%7.41%———22.22%
27.41%—3.70%3.70%——14.81%
3—3.70%————3.70%
4———————
5+———————
Total18.52%22.22%33.33%7.41%3.70%14.81%100%

Summary Statistics

Scored Allowed Difference
Mean 0.63 2.07 -1.44
SD 0.88 1.77 2.28
CV 1.40 0.86 —
Max 3 6 +2
Min 0 0 -6

Games Played: 27

↓ Scored | Allowed →012345+Total
03.70%11.11%————14.81%
111.11%3.70%————14.81%
211.11%11.11%3.70%—3.70%—29.63%
37.41%3.70%————11.11%
4—7.41%3.70%———11.11%
5+18.52%—————18.52%
Total51.85%37.04%7.41%—3.70%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.52 0.67 +1.85
SD 1.85 0.92 2.20
CV 0.73 1.38 —
Max 7 4 +7
Min 0 0 -2

Games Played: 27

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 1744 69 60.28 +8.72 94.0% 42 52 56 60 64 70 74
Liepajas Metalurgs 1707 61 58.76 +2.24 64.0% 40 48 55 59 63 68 73
Ventspils 1684 63 58.11 +4.89 80.0% 37 47 54 58 62 68 71
Daugava Daugavpils 1599 56 45.83 +10.17 96.0% 32 36 41 46 49 55 61
Jelgava 1348 25 37.17 -12.17 0.0% 26 28 32 38 42 45 52
JFK Olimps 1295 21 28.73 -7.73 11.0% 16 17 24 29 33 38 42
Blazma 1250 24 23.51 +0.49 60.0% 12 14 20 23 27 33 42
FK Jurmala-VV 1229 28 26.74 +1.26 58.0% 12 17 23 27 30 36 40
Tranzits Ventspils 1146 19 21.73 -2.73 40.0% 12 13 17 21 25 33 41
Jauniga Riga 1078 16 21.65 -5.65 16.0% 6 13 17 22 26 31 32

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
+0.00%
No Edge
41.48%17.04%41.48%
Elo Value
Home Edge: 0.00 Elo pts.
150 Elo
0.007 goals per Elo point
0400
Scoring Tilt
Expected
+0.12 goals
Neutral
-2+0.00+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
2.9
Top-Heavy
123410
Champion Preseason Odds
42%
Skonto, 1st of 10
LongshotFavorite
Title Margin
Expected
0.22/gm
Comfortable
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 4.73 * Some Luck: 4.73 to 7.1 * Lucky: 7.1 to 9.46 * Wild Swing: 9.46 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 0.75 * Close: 0.75 to 1.13 * Off: 1.13 to 1.5 * Way Off: 1.5 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
6.76 points
Some Luck
05.9115
Average Finish Error
Expected
0.80
Close
00.942
Biggest Overachiever
Expected 95.00%
96.00%
Daugava Daugavpils
50100
Biggest Underachiever
Expected 5.00%
0.00%
Jelgava
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
0.28
Lopsided
00.240.5
Noll-Scully
Elo SD: 250.74
2.96
Wide Separation
12.552.953.5
Interquartile Edge
92%
Wide Edge
50%82%100%
Best vs. Worst
Baseline 99%
98%
Clear Edge
50%100%
Close Games
Expected
50%
Some Drama
0%41%100%
Blowouts
Expected
29%
Frequent
0%37%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
0.45
Highly Predictable
00.492
Matchup Imbalance
0.55
Notable Separation
00.5
Strangeness
Expected
1.34
Wilder Than Modeled
01.002
Repeatability
0.64
Some Carryover
00.620.761
Upset Rate
Expected
18%
Upset-Prone
0%18%50%
Clear Favorite Upset Rate
Expected
15%
Very Shaky
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 0.13 * Near Noise Ceiling: 0.13 to 0.19 * Above Noise: 0.19 to 0.25 * Well Above Noise: 0.25 and up.
Probability calibration
<0.01
Miscalibrated
0.010.050.10.51
Calibration slope
Ideal
1.15
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.105
Well Within Noise
00.1260.3

Final Table Odds

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

Team12345678910
Skonto42.00%31.00%25.00%2.00%——————
Ventspils29.00%27.00%37.00%6.00%1.00%—————
Liepajas Metalurgs28.00%38.00%25.00%9.00%——————
Daugava Daugavpils1.00%4.00%13.00%64.00%16.00%2.00%————
FK Jurmala-VV————6.00%31.00%24.00%16.00%12.00%11.00%
Jelgava———15.00%56.00%19.00%8.00%2.00%——
Blazma————4.00%9.00%19.00%25.00%24.00%19.00%
JFK Olimps———3.00%13.00%28.00%25.00%13.00%14.00%4.00%
Tranzits Ventspils———1.00%3.00%6.00%8.00%23.00%27.00%32.00%
Jauniga Riga————1.00%5.00%16.00%21.00%23.00%34.00%

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 Daugavpils 100% — —
Jelgava 100% — —
Liepajas Metalurgs 100% — —
Skonto 100% — —
Ventspils 100% — —
JFK Olimps 82.00% 14.00% 4.00%
FK Jurmala-VV 77.00% 12.00% 11.00%
Blazma 57.00% 24.00% 19.00%
Tranzits Ventspils 41.00% 27.00% 32.00%
Jauniga Riga 43.00% 23.00% 34.00%

Overall Game Log

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

Date Opponent ScoreExcitement Pre Elo Opp Elo Win % Tie % Loss %Proj. Margin Elo Δ Points
2010-04-10 Blazma W 4-034.2 1630 1279 75.60% 16.00% 8.40%+2.33 +12.9 3
2010-04-10 @ Liepajas Metalurgs L 0-434.2 1279 1630 8.40% 16.00% 75.60%-2.33 -12.9 0
2010-04-10 Ventspils L 1-247.9 1379 1585 17.25% 17.32% 65.43%-1.36 -6.8 0
2010-04-10 @ Jelgava W 2-147.9 1585 1379 65.43% 17.32% 17.25%+1.36 +6.8 3
2010-04-11 Daugava Daugavpils D 1-159.2 1373 1478 27.19% 17.87% 54.94%-0.70 +2.3 1
2010-04-11 @ JFK Olimps D 1-159.2 1478 1373 54.94% 17.87% 27.19%+0.70 -2.3 1
2010-04-11 FK Jurmala-VV W 4-241.5 1564 1191 76.75% 15.75% 7.50%+2.48 +4.7 3
2010-04-11 @ Skonto L 2-441.5 1191 1564 7.50% 15.75% 76.75%-2.48 -4.7 0
2010-04-11 Jauniga Riga W 2-047.6 1206 1395 18.58% 17.43% 63.99%-1.26 +43.5 3
2010-04-11 @ Tranzits Ventspils L 0-247.6 1395 1206 63.99% 17.43% 18.58%+1.26 -43.5 0
2010-04-17 Blazma L 0-146.1 1352 1267 52.56% 17.94% 29.51%+0.57 -19.1 0
2010-04-17 @ Jauniga Riga W 1-046.1 1267 1352 29.51% 17.94% 52.56%-0.57 +19.1 3
2010-04-18 Daugava Daugavpils L 0-136.0 1249 1475 15.63% 17.17% 67.20%-1.50 -6.6 3
2010-04-18 @ Tranzits Ventspils W 1-036.0 1475 1249 67.20% 17.17% 15.63%+1.50 +6.6 4
2010-04-18 Jelgava W 4-144.4 1569 1372 64.60% 17.39% 18.01%+1.30 +17.4 6
2010-04-18 @ Skonto L 1-444.4 1372 1569 18.01% 17.39% 64.60%-1.30 -17.4 0
2010-04-18 JFK Olimps W 7-038.7 1591 1375 66.38% 17.24% 16.37%+1.44 +41.8 6
2010-04-18 @ Ventspils L 0-738.7 1375 1591 16.37% 17.24% 66.38%-1.44 -41.8 1
2010-04-18 Liepajas Metalurgs L 1-239.1 1186 1643 4.86% 14.74% 80.40%-3.04 -2.0 0
2010-04-18 @ FK Jurmala-VV W 2-139.1 1643 1186 80.40% 14.74% 4.86%+3.04 +2.0 6
2010-04-22 FK Jurmala-VV L 1-253.4 1355 1184 62.20% 17.55% 20.25%+1.14 -21.1 0
2010-04-22 @ Jelgava W 2-153.4 1184 1355 20.25% 17.55% 62.20%-1.14 +21.2 3
2010-04-23 Skonto L 1-343.9 1333 1586 13.73% 16.96% 69.32%-1.68 -9.5 1
2010-04-23 @ JFK Olimps W 3-143.9 1586 1333 69.32% 16.96% 13.73%+1.68 +9.5 9
2010-04-23 Ventspils L 0-234.6 1243 1633 6.87% 15.56% 77.57%-2.60 -5.5 3
2010-04-23 @ Tranzits Ventspils W 2-034.6 1633 1243 77.57% 15.56% 6.87%+2.60 +5.5 9
2010-04-24 Daugava Daugavpils W 3-155.2 1286 1482 18.00% 17.39% 64.61%-1.30 +38.0 6
2010-04-24 @ Blazma L 1-355.2 1482 1286 64.61% 17.39% 18.00%+1.30 -38.0 4
2010-04-24 Liepajas Metalurgs L 2-351.1 1333 1645 10.20% 16.40% 73.40%-2.08 -3.9 0
2010-04-24 @ Jauniga Riga W 3-251.1 1645 1333 73.40% 16.40% 10.20%+2.08 +3.9 9
2010-05-01 Blazma W 1-040.4 1639 1324 73.55% 16.38% 10.07%+2.09 +4.3 12
2010-05-01 @ Ventspils L 0-140.4 1324 1639 10.07% 16.38% 73.55%-2.09 -4.3 6
2010-05-01 Jauniga Riga L 0-137.3 1205 1329 25.06% 17.79% 57.15%-0.82 -10.1 3
2010-05-01 @ FK Jurmala-VV W 1-037.3 1329 1205 57.15% 17.79% 25.06%+0.82 +10.1 3
2010-05-01 Liepajas Metalurgs D 1-167.8 1444 1649 17.25% 17.32% 65.43%-1.37 +4.2 5
2010-05-01 @ Daugava Daugavpils D 1-167.8 1649 1444 65.43% 17.32% 17.25%+1.37 -4.2 10
2010-05-01 Tranzits Ventspils W 5-031.5 1596 1237 75.99% 15.92% 8.09%+2.38 +15.3 12
2010-05-01 @ Skonto L 0-531.5 1237 1596 8.09% 15.92% 75.99%-2.38 -15.3 3
2010-05-02 JFK Olimps W 4-038.8 1334 1324 42.41% 18.07% 39.53%+0.07 +53.5 3
2010-05-02 @ Jelgava L 0-438.8 1324 1334 39.53% 18.07% 42.41%-0.07 -53.5 1
2010-05-08 Daugava Daugavpils D 1-157.7 1339 1448 26.70% 17.85% 55.45%-0.73 +2.4 4
2010-05-08 @ Jauniga Riga D 1-157.7 1448 1339 55.45% 17.85% 26.70%+0.73 -2.4 6
2010-05-08 FK Jurmala-VV L 0-243.3 1270 1195 51.28% 17.97% 30.76%+0.50 -35.2 1
2010-05-08 @ JFK Olimps W 2-043.3 1195 1270 30.76% 17.97% 51.28%-0.50 +35.2 6
2010-05-08 Jelgava D 1-155.4 1222 1387 20.77% 17.58% 61.66%-1.10 +3.5 4
2010-05-08 @ Tranzits Ventspils D 1-155.4 1387 1222 61.66% 17.58% 20.77%+1.10 -3.5 4
2010-05-08 Skonto L 1-343.4 1319 1611 11.33% 16.61% 72.06%-1.94 -7.9 6
2010-05-08 @ Blazma W 3-143.4 1611 1319 72.06% 16.61% 11.33%+1.94 +7.9 15
2010-05-09 Ventspils D 0-068.1 1645 1643 41.25% 18.07% 40.69%+0.01 -0.0 11
2010-05-09 @ Liepajas Metalurgs D 0-068.1 1643 1645 40.69% 18.07% 41.25%-0.01 +0.0 13
2010-05-15 FK Jurmala-VV D 1-154.6 1225 1230 40.26% 18.07% 41.67%-0.03 +0.1 5
2010-05-15 @ Tranzits Ventspils D 1-154.6 1230 1225 41.67% 18.07% 40.26%+0.03 -0.1 7
2010-05-15 Jauniga Riga W 7-037.0 1619 1341 71.11% 16.74% 12.16%+1.84 +31.5 18
2010-05-15 @ Skonto L 0-737.0 1341 1619 12.16% 16.74% 71.11%-1.84 -31.5 4
2010-05-15 Jelgava W 3-147.7 1645 1384 69.94% 16.88% 13.18%+1.74 +9.2 14
2010-05-15 @ Liepajas Metalurgs L 1-347.7 1384 1645 13.18% 16.88% 69.94%-1.74 -9.2 4
2010-05-15 JFK Olimps W 2-037.4 1311 1235 51.41% 17.96% 30.63%+0.51 +22.8 9
2010-05-15 @ Blazma L 0-237.4 1235 1311 30.63% 17.96% 51.41%-0.51 -22.8 1
2010-05-15 Ventspils W 1-061.7 1446 1643 17.90% 17.38% 64.72%-1.31 +23.3 9
2010-05-15 @ Daugava Daugavpils L 0-161.7 1643 1446 64.72% 17.38% 17.90%+1.31 -23.3 13
2010-05-19 Skonto L 0-234.1 1226 1650 5.76% 15.15% 79.10%-2.82 -4.6 5
2010-05-19 @ Tranzits Ventspils W 2-034.1 1650 1226 79.10% 15.15% 5.76%+2.82 +4.6 21
2010-05-29 Daugava Daugavpils L 0-135.3 1230 1469 14.69% 17.07% 68.24%-1.59 -6.2 7
2010-05-29 @ FK Jurmala-VV W 1-035.3 1469 1230 68.24% 17.07% 14.69%+1.59 +6.2 12
2010-05-29 Jauniga Riga W 5-035.3 1620 1310 73.23% 16.43% 10.34%+2.06 +19.5 16
2010-05-29 @ Ventspils L 0-535.3 1310 1620 10.34% 16.43% 73.23%-2.06 -19.6 4
2010-05-29 Liepajas Metalurgs D 0-068.4 1655 1654 41.08% 18.07% 40.85%+0.01 -0.0 22
2010-05-29 @ Skonto D 0-068.4 1654 1655 40.85% 18.07% 41.08%-0.01 +0.0 15
2010-05-29 Tranzits Ventspils L 0-141.5 1212 1221 39.74% 18.07% 42.19%-0.06 -15.0 1
2010-05-29 @ JFK Olimps W 1-041.5 1221 1212 42.19% 18.07% 39.74%+0.06 +15.0 8
2010-05-30 Blazma W 4-038.1 1375 1334 46.67% 18.04% 35.29%+0.27 +48.7 7
2010-05-30 @ Jelgava L 0-438.1 1334 1375 35.29% 18.04% 46.67%-0.27 -48.7 9
2010-06-02 Daugava Daugavpils W 1-049.5 1655 1475 63.05% 17.49% 19.46%+1.19 +8.1 25
2010-06-02 @ Skonto L 0-149.5 1475 1655 19.46% 17.49% 63.05%-1.19 -8.1 12
2010-06-02 Liepajas Metalurgs L 0-331.7 1197 1654 4.87% 14.75% 80.38%-3.04 -5.7 1
2010-06-02 @ JFK Olimps W 3-031.7 1654 1197 80.38% 14.75% 4.87%+3.04 +5.7 18
2010-06-02 Ventspils L 1-437.7 1224 1639 6.04% 15.26% 78.70%-2.76 -6.0 7
2010-06-02 @ FK Jurmala-VV W 4-137.7 1639 1224 78.70% 15.26% 6.04%+2.76 +6.0 19
2010-06-05 Blazma W 3-147.9 1236 1286 34.08% 18.02% 47.89%-0.33 +28.7 11
2010-06-05 @ Tranzits Ventspils L 1-347.9 1286 1236 47.89% 18.02% 34.08%+0.33 -28.7 9
2010-06-06 Jauniga Riga W 4-140.6 1424 1290 58.21% 17.75% 24.04%+0.88 +22.6 10
2010-06-06 @ Jelgava L 1-440.6 1290 1424 24.04% 17.75% 58.21%-0.88 -22.6 4
2010-06-12 FK Jurmala-VV L 0-439.8 1257 1218 46.42% 18.04% 35.54%+0.26 -61.2 9
2010-06-12 @ Blazma W 4-039.8 1218 1257 35.54% 18.04% 46.42%-0.26 +61.2 10
2010-06-12 JFK Olimps L 0-941.1 1268 1192 51.39% 17.96% 30.64%+0.51 -144.4 4
2010-06-12 @ Jauniga Riga W 9-041.1 1192 1268 30.64% 17.96% 51.39%-0.51 +144.4 4
2010-06-12 Skonto W 2-165.5 1645 1663 38.45% 18.06% 43.49%-0.12 +15.3 22
2010-06-12 @ Ventspils L 1-265.5 1663 1645 43.49% 18.06% 38.45%+0.12 -15.3 25
2010-06-12 Tranzits Ventspils W 2-036.1 1660 1265 77.80% 15.50% 6.70%+2.63 +5.4 21
2010-06-12 @ Liepajas Metalurgs L 0-236.1 1265 1660 6.70% 15.50% 77.80%-2.63 -5.4 11
2010-06-13 Jelgava D 1-161.1 1467 1446 43.97% 18.06% 37.97%+0.14 -0.5 13
2010-06-13 @ Daugava Daugavpils D 1-161.1 1446 1467 37.97% 18.06% 43.97%-0.14 +0.5 11
2010-06-19 JFK Olimps W 2-038.5 1467 1336 57.94% 17.76% 24.30%+0.87 +18.6 16
2010-06-19 @ Daugava Daugavpils L 0-238.5 1336 1467 24.30% 17.76% 57.94%-0.87 -18.6 4
2010-06-19 Tranzits Ventspils W 1-047.0 1123 1259 23.76% 17.74% 58.51%-0.90 +21.1 7
2010-06-19 @ Jauniga Riga L 0-147.0 1259 1123 58.51% 17.74% 23.76%+0.90 -21.1 11
2010-06-22 Skonto L 0-434.5 1279 1648 7.69% 15.81% 76.51%-2.45 -11.8 10
2010-06-22 @ FK Jurmala-VV W 4-034.5 1648 1279 76.51% 15.81% 7.69%+2.45 +11.8 28
2010-06-25 Jelgava W 2-152.8 1661 1447 66.19% 17.26% 16.55%+1.42 +6.6 25
2010-06-25 @ Ventspils L 1-252.8 1447 1661 16.55% 17.26% 66.19%-1.42 -6.6 11
2010-06-26 Liepajas Metalurgs L 1-436.9 1196 1665 4.56% 14.58% 80.86%-3.12 -4.5 9
2010-06-26 @ Blazma W 4-136.9 1665 1196 80.86% 14.58% 4.56%+3.12 +4.5 24
2010-06-30 FK Jurmala-VV L 1-264.6 1670 1267 78.12% 15.42% 6.46%+2.67 -26.4 24
2010-06-30 @ Liepajas Metalurgs W 2-164.6 1267 1670 6.46% 15.42% 78.12%-2.67 +26.4 13
2010-06-30 Tranzits Ventspils W 2-033.8 1485 1238 68.90% 17.00% 14.10%+1.64 +11.3 19
2010-06-30 @ Daugava Daugavpils L 0-233.8 1238 1485 14.10% 17.00% 68.90%-1.64 -11.3 11
2010-06-30 Ventspils L 0-337.6 1317 1667 8.45% 16.01% 75.53%-2.33 -10.0 4
2010-06-30 @ JFK Olimps W 3-037.6 1667 1317 75.53% 16.01% 8.45%+2.33 +9.9 28
2010-07-03 Jauniga Riga L 1-248.7 1191 1145 47.47% 18.03% 34.50%+0.31 -16.5 9
2010-07-03 @ Blazma W 2-148.7 1145 1191 34.50% 18.03% 47.47%-0.31 +16.5 10
2010-07-07 JFK Olimps L 1-254.3 1440 1307 58.15% 17.75% 24.10%+0.88 -19.8 11
2010-07-07 @ Jelgava W 2-154.3 1307 1440 24.10% 17.75% 58.15%-0.88 +19.8 7
2010-07-08 Daugava Daugavpils L 0-161.9 1643 1497 59.69% 17.68% 22.63%+0.98 -21.5 24
2010-07-08 @ Liepajas Metalurgs W 1-061.9 1497 1643 22.63% 17.68% 59.69%-0.98 +21.6 22
2010-07-09 Ventspils L 0-530.2 1175 1677 3.84% 14.16% 82.00%-3.34 -7.1 9
2010-07-09 @ Blazma W 5-030.2 1677 1175 82.00% 14.16% 3.84%+3.34 +7.1 31
2010-07-17 FK Jurmala-VV L 0-235.1 1161 1294 24.07% 17.75% 58.18%-0.88 -18.5 10
2010-07-17 @ Jauniga Riga W 2-035.1 1294 1161 58.18% 17.75% 24.07%+0.88 +18.4 16
2010-07-24 Jauniga Riga W 4-028.7 1622 1143 81.20% 14.46% 4.34%+3.19 +6.6 27
2010-07-24 @ Liepajas Metalurgs L 0-428.7 1143 1622 4.34% 14.46% 81.20%-3.19 -6.6 10
2010-07-25 Blazma W 2-031.3 1518 1167 75.58% 16.00% 8.41%+2.33 +6.8 25
2010-07-25 @ Daugava Daugavpils L 0-231.3 1167 1518 8.41% 16.00% 75.58%-2.33 -6.8 9
2010-07-25 Jelgava W 2-153.2 1312 1420 26.84% 17.86% 55.30%-0.72 +18.9 19
2010-07-25 @ FK Jurmala-VV L 1-253.2 1420 1312 55.30% 17.86% 26.84%+0.72 -18.9 11
2010-07-25 JFK Olimps W 6-140.0 1660 1327 74.56% 16.20% 9.24%+2.21 +14.5 31
2010-07-25 @ Skonto L 1-640.0 1327 1660 9.24% 16.20% 74.56%-2.21 -14.5 7
2010-07-25 Tranzits Ventspils W 2-034.9 1684 1227 80.40% 14.74% 4.86%+3.04 +3.9 34
2010-07-25 @ Ventspils L 0-234.9 1227 1684 4.86% 14.74% 80.40%-3.04 -3.9 11
2010-08-01 Skonto L 0-541.3 1401 1674 12.44% 16.78% 70.78%-1.81 -23.4 11
2010-08-01 @ Jelgava W 5-041.3 1674 1401 70.78% 16.78% 12.44%+1.81 +23.4 34
2010-08-06 Skonto L 0-330.2 1136 1697 2.82% 13.36% 83.82%-3.73 -3.2 10
2010-08-06 @ Jauniga Riga W 3-030.2 1697 1136 83.82% 13.36% 2.82%+3.73 +3.2 37
2010-08-07 Blazma W 2-141.2 1313 1161 60.27% 17.65% 22.08%+1.01 +8.5 10
2010-08-07 @ JFK Olimps L 1-241.2 1161 1313 22.08% 17.65% 60.27%-1.01 -8.5 9
2010-08-07 Liepajas Metalurgs L 1-248.4 1378 1628 13.88% 16.97% 69.14%-1.66 -5.6 11
2010-08-07 @ Jelgava W 2-148.4 1628 1378 69.14% 16.97% 13.88%+1.66 +5.6 30
2010-08-08 Daugava Daugavpils D 1-171.0 1688 1525 61.41% 17.59% 21.00%+1.08 -3.5 35
2010-08-08 @ Ventspils D 1-171.0 1525 1688 21.00% 17.59% 61.41%-1.08 +3.5 26
2010-08-08 Tranzits Ventspils W 2-143.0 1331 1223 55.36% 17.86% 26.78%+0.72 +10.1 22
2010-08-08 @ FK Jurmala-VV L 1-243.0 1223 1331 26.78% 17.86% 55.36%-0.72 -10.1 11
2010-08-14 Jelgava D 0-051.0 1152 1372 16.06% 17.21% 66.72%-1.46 +5.0 10
2010-08-14 @ Blazma D 0-051.0 1372 1152 66.72% 17.21% 16.06%+1.46 -5.0 12
2010-08-15 FK Jurmala-VV W 1-040.2 1528 1341 63.75% 17.45% 18.80%+1.24 +7.8 29
2010-08-15 @ Daugava Daugavpils L 0-140.2 1341 1528 18.80% 17.45% 63.75%-1.24 -7.8 22
2010-08-15 JFK Olimps D 2-260.3 1213 1321 26.76% 17.86% 55.39%-0.72 +1.8 12
2010-08-15 @ Tranzits Ventspils D 2-260.3 1321 1213 55.39% 17.86% 26.76%+0.72 -1.8 11
2010-08-15 Skonto L 1-262.3 1634 1701 31.84% 17.99% 50.17%-0.44 -11.8 30
2010-08-15 @ Liepajas Metalurgs W 2-162.3 1701 1634 50.17% 17.99% 31.84%+0.44 +11.8 40
2010-08-15 Ventspils L 0-528.8 1133 1685 2.97% 13.49% 83.54%-3.67 -5.4 10
2010-08-15 @ Jauniga Riga W 5-028.8 1685 1133 83.54% 13.49% 2.97%+3.67 +5.5 38
2010-08-21 Jauniga Riga W 1-031.9 1536 1127 78.41% 15.34% 6.25%+2.72 +2.7 32
2010-08-21 @ Daugava Daugavpils L 0-131.9 1127 1536 6.25% 15.34% 78.41%-2.72 -2.7 10
2010-08-21 JFK Olimps D 2-261.0 1334 1320 42.97% 18.06% 38.97%+0.09 -0.2 23
2010-08-21 @ FK Jurmala-VV D 2-261.0 1320 1334 38.97% 18.06% 42.97%-0.09 +0.2 12
2010-08-22 Blazma W 6-030.1 1712 1157 83.64% 13.45% 2.91%+3.69 +6.3 43
2010-08-22 @ Skonto L 0-630.1 1157 1712 2.91% 13.45% 83.64%-3.69 -6.3 10
2010-08-22 Liepajas Metalurgs L 2-470.6 1690 1622 50.33% 17.98% 31.68%+0.45 -26.9 38
2010-08-22 @ Ventspils W 4-270.6 1622 1690 31.68% 17.98% 50.33%-0.45 +26.9 33
2010-08-22 Tranzits Ventspils W 2-141.6 1367 1215 60.34% 17.65% 22.01%+1.02 +8.5 15
2010-08-22 @ Jelgava L 1-241.6 1215 1367 22.01% 17.65% 60.34%-1.02 -8.5 12
2010-08-27 FK Jurmala-VV W 1-041.4 1663 1333 74.43% 16.23% 9.35%+2.19 +4.0 41
2010-08-27 @ Ventspils L 0-141.4 1333 1663 9.35% 16.23% 74.43%-2.19 -4.0 23
2010-08-27 JFK Olimps W 4-036.6 1649 1320 74.39% 16.23% 9.38%+2.19 +14.4 36
2010-08-27 @ Liepajas Metalurgs L 0-436.6 1320 1649 9.38% 16.23% 74.39%-2.19 -14.4 12
2010-08-27 Skonto D 1-171.9 1539 1719 19.45% 17.49% 63.06%-1.20 +3.8 33
2010-08-27 @ Daugava Daugavpils D 1-171.9 1719 1539 63.06% 17.49% 19.45%+1.20 -3.8 44
2010-08-28 Jelgava D 1-155.0 1125 1376 13.83% 16.97% 69.20%-1.67 +4.9 11
2010-08-28 @ Jauniga Riga D 1-155.0 1376 1125 69.20% 16.97% 13.83%+1.67 -4.9 16
2010-08-28 Tranzits Ventspils W 2-042.4 1151 1206 33.33% 18.01% 48.66%-0.37 +33.6 13
2010-08-28 @ Blazma L 0-242.4 1206 1151 48.66% 18.01% 33.33%+0.37 -33.6 12
2010-09-12 Blazma D 0-050.8 1329 1184 59.50% 17.69% 22.81%+0.96 -3.5 24
2010-09-12 @ FK Jurmala-VV D 0-050.8 1184 1329 22.81% 17.69% 59.50%-0.96 +3.5 14
2010-09-12 Daugava Daugavpils D 3-370.9 1371 1543 20.18% 17.54% 62.28%-1.14 +2.3 17
2010-09-12 @ Jelgava D 3-370.9 1543 1371 62.28% 17.54% 20.18%+1.14 -2.2 34
2010-09-12 Jauniga Riga D 2-260.1 1305 1130 62.67% 17.52% 19.81%+1.17 -2.8 13
2010-09-12 @ JFK Olimps D 2-260.1 1130 1305 19.81% 17.52% 62.67%-1.17 +2.8 12
2010-09-12 Liepajas Metalurgs L 0-430.2 1172 1663 4.08% 14.31% 81.61%-3.26 -6.2 12
2010-09-12 @ Tranzits Ventspils W 4-030.2 1663 1172 81.61% 14.31% 4.08%+3.26 +6.2 39
2010-09-12 Ventspils W 1-058.5 1715 1667 47.64% 18.03% 34.33%+0.32 +13.3 47
2010-09-12 @ Skonto L 0-158.5 1667 1715 34.33% 18.03% 47.64%-0.32 -13.3 41
2010-09-15 Daugava Daugavpils L 0-142.2 1373 1540 20.61% 17.57% 61.83%-1.11 -8.5 17
2010-09-15 @ Jelgava W 1-042.2 1540 1373 61.83% 17.57% 20.61%+1.11 +8.5 37
2010-09-15 Jauniga Riga L 0-148.8 1326 1132 64.35% 17.40% 18.25%+1.29 -23.2 24
2010-09-15 @ FK Jurmala-VV W 1-048.8 1132 1326 18.25% 17.40% 64.35%-1.29 +23.2 15
2010-09-15 Liepajas Metalurgs L 2-344.7 1188 1669 4.29% 14.43% 81.28%-3.20 -1.6 14
2010-09-15 @ Blazma W 3-244.7 1669 1188 81.28% 14.43% 4.29%+3.20 +1.6 42
2010-09-15 Skonto L 0-630.9 1166 1728 2.81% 13.35% 83.83%-3.74 -6.1 12
2010-09-15 @ Tranzits Ventspils W 6-030.9 1728 1166 83.83% 13.35% 2.81%+3.74 +6.1 50
2010-09-15 Ventspils L 0-336.6 1303 1654 8.39% 16.00% 75.62%-2.34 -9.9 13
2010-09-15 @ JFK Olimps W 3-036.6 1654 1303 75.62% 16.00% 8.39%+2.34 +9.9 44
2010-09-18 JFK Olimps W 4-037.2 1734 1293 79.79% 14.94% 5.28%+2.94 +8.1 53
2010-09-18 @ Skonto L 0-437.2 1293 1734 5.28% 14.94% 79.79%-2.94 -8.0 13
2010-09-19 Blazma W 2-032.8 1664 1186 81.14% 14.48% 4.38%+3.17 +3.5 47
2010-09-19 @ Ventspils L 0-232.8 1186 1664 4.38% 14.48% 81.14%-3.17 -3.5 14
2010-09-19 FK Jurmala-VV W 2-036.5 1549 1303 68.84% 17.01% 14.16%+1.64 +11.3 40
2010-09-19 @ Daugava Daugavpils L 0-236.5 1303 1549 14.16% 17.01% 68.84%-1.64 -11.3 24
2010-09-19 Jelgava W 3-040.3 1671 1365 73.02% 16.46% 10.52%+2.04 +12.4 45
2010-09-19 @ Liepajas Metalurgs L 0-340.3 1365 1671 10.52% 16.46% 73.02%-2.04 -12.3 17
2010-09-19 Tranzits Ventspils L 0-141.5 1156 1160 40.31% 18.07% 41.62%-0.03 -15.2 15
2010-09-19 @ Jauniga Riga W 1-041.5 1160 1156 41.62% 18.07% 40.31%+0.03 +15.2 15
2010-09-23 Jauniga Riga W 3-135.9 1560 1140 78.89% 15.21% 5.90%+2.79 +4.1 43
2010-09-23 @ Daugava Daugavpils L 1-335.9 1140 1560 5.90% 15.21% 78.89%-2.79 -4.1 15
2010-09-23 Liepajas Metalurgs L 1-441.7 1291 1683 6.81% 15.54% 77.66%-2.61 -6.7 24
2010-09-23 @ FK Jurmala-VV W 4-141.7 1683 1291 77.66% 15.54% 6.81%+2.61 +6.7 48
2010-09-23 Skonto L 1-438.1 1183 1742 2.85% 13.39% 83.76%-3.72 -2.7 14
2010-09-23 @ Blazma W 4-138.1 1742 1183 83.76% 13.39% 2.85%+3.72 +2.7 56
2010-09-23 Tranzits Ventspils L 0-244.5 1285 1175 55.48% 17.85% 26.67%+0.73 -37.9 13
2010-09-23 @ JFK Olimps W 2-044.5 1175 1285 26.67% 17.85% 55.48%-0.73 +37.9 18
2010-09-26 Ventspils L 2-450.5 1352 1667 10.08% 16.38% 73.54%-2.09 -6.3 17
2010-09-26 @ Jelgava W 4-250.5 1667 1352 73.54% 16.38% 10.08%+2.09 +6.3 50
2010-10-01 Daugava Daugavpils D 0-067.7 1690 1564 57.39% 17.78% 24.83%+0.84 -3.1 49
2010-10-01 @ Liepajas Metalurgs D 0-067.7 1564 1690 24.83% 17.78% 57.39%-0.84 +3.1 44
2010-10-01 Jelgava W 2-148.8 1745 1346 77.98% 15.46% 6.57%+2.65 +2.7 59
2010-10-01 @ Skonto L 1-248.8 1346 1745 6.57% 15.46% 77.98%-2.65 -2.7 17
2010-10-02 Blazma L 0-340.2 1213 1180 45.66% 18.05% 36.30%+0.22 -46.2 18
2010-10-02 @ Tranzits Ventspils W 3-040.2 1180 1213 36.30% 18.05% 45.66%-0.22 +46.2 17
2010-10-02 FK Jurmala-VV W 3-142.8 1674 1285 77.51% 15.57% 6.92%+2.59 +4.9 53
2010-10-02 @ Ventspils L 1-342.8 1285 1674 6.92% 15.57% 77.51%-2.59 -4.8 24
2010-10-02 JFK Olimps D 2-259.9 1136 1247 26.53% 17.85% 55.62%-0.73 +1.8 16
2010-10-02 @ Jauniga Riga D 2-259.9 1247 1136 55.62% 17.85% 26.53%+0.73 -1.8 14
2010-10-17 Jauniga Riga W 8-029.1 1687 1138 83.46% 13.53% 3.01%+3.65 +8.6 52
2010-10-17 @ Liepajas Metalurgs L 0-829.1 1138 1687 3.01% 13.53% 83.46%-3.65 -8.6 16
2010-10-17 JFK Olimps D 1-154.6 1226 1245 38.31% 18.06% 43.63%-0.12 +0.4 18
2010-10-17 @ Blazma D 1-154.6 1245 1226 43.63% 18.06% 38.31%+0.12 -0.4 15
2010-10-17 Skonto L 0-239.0 1280 1748 4.60% 14.60% 80.80%-3.11 -3.7 24
2010-10-17 @ FK Jurmala-VV W 2-039.0 1748 1280 80.80% 14.60% 4.60%+3.11 +3.7 62
2010-10-17 Tranzits Ventspils D 0-050.9 1343 1167 62.73% 17.51% 19.76%+1.17 -4.2 18
2010-10-17 @ Jelgava D 0-050.9 1167 1343 19.76% 17.51% 62.73%-1.17 +4.2 19
2010-10-17 Ventspils L 0-154.5 1567 1678 26.48% 17.85% 55.67%-0.74 -10.6 44
2010-10-17 @ Daugava Daugavpils W 1-054.5 1678 1567 55.67% 17.85% 26.48%+0.74 +10.6 56
2010-10-22 Daugava Daugavpils L 0-166.7 1751 1557 64.46% 17.40% 18.14%+1.29 -23.2 62
2010-10-22 @ Skonto W 1-066.7 1557 1751 18.14% 17.40% 64.46%-1.29 +23.2 47
2010-10-23 Blazma L 0-434.1 1129 1227 28.08% 17.90% 54.03%-0.65 -40.1 16
2010-10-23 @ Jauniga Riga W 4-034.1 1227 1129 54.03% 17.90% 28.08%+0.65 +40.1 21
2010-10-23 FK Jurmala-VV L 2-347.8 1171 1276 27.19% 17.87% 54.94%-0.70 -9.8 19
2010-10-23 @ Tranzits Ventspils W 3-247.8 1276 1171 54.94% 17.87% 27.19%+0.70 +9.8 27
2010-10-23 Jelgava W 2-151.2 1245 1339 28.38% 17.91% 53.71%-0.63 +18.4 18
2010-10-23 @ JFK Olimps L 1-251.2 1339 1245 53.71% 17.91% 28.38%+0.63 -18.4 18
2010-10-23 Liepajas Metalurgs L 0-160.3 1689 1696 40.01% 18.07% 41.92%-0.04 -15.1 56
2010-10-23 @ Ventspils W 1-060.3 1696 1689 41.92% 18.07% 40.01%+0.04 +15.1 55
2010-10-27 Blazma W 2-038.5 1321 1267 48.49% 18.02% 33.49%+0.36 +24.6 21
2010-10-27 @ Jelgava L 0-238.5 1267 1321 33.49% 18.02% 48.49%-0.36 -24.6 21
2010-10-27 Jauniga Riga W 4-133.5 1674 1089 84.46% 13.04% 2.50%+3.89 +2.4 59
2010-10-27 @ Ventspils L 1-433.5 1089 1674 2.50% 13.04% 84.46%-3.89 -2.4 16
2010-10-27 JFK Olimps L 0-340.2 1286 1263 44.21% 18.06% 37.73%+0.15 -45.0 27
2010-10-27 @ FK Jurmala-VV W 3-040.2 1263 1286 37.73% 18.06% 44.21%-0.15 +45.0 21
2010-10-27 Skonto L 1-265.1 1711 1728 38.50% 18.06% 43.44%-0.12 -13.8 55
2010-10-27 @ Liepajas Metalurgs W 2-165.1 1728 1711 43.44% 18.06% 38.50%+0.12 +13.8 65
2010-10-27 Tranzits Ventspils W 1-032.8 1580 1161 78.84% 15.22% 5.94%+2.78 +2.5 50
2010-10-27 @ Daugava Daugavpils L 0-132.8 1161 1580 5.94% 15.22% 78.84%-2.78 -2.5 19
2010-10-31 Daugava Daugavpils L 0-237.0 1308 1583 12.31% 16.76% 70.92%-1.83 -9.9 21
2010-10-31 @ JFK Olimps W 2-037.0 1583 1308 70.92% 16.76% 12.31%+1.83 +9.9 53
2010-10-31 FK Jurmala-VV W 2-146.9 1242 1241 41.17% 18.07% 40.76%+0.01 +14.5 24
2010-10-31 @ Blazma L 1-246.9 1241 1242 40.76% 18.07% 41.17%-0.01 -14.5 27
2010-10-31 Jelgava L 0-133.3 1087 1345 13.35% 16.91% 69.75%-1.72 -5.7 16
2010-10-31 @ Jauniga Riga W 1-033.3 1345 1087 69.75% 16.91% 13.35%+1.72 +5.7 24
2010-10-31 Liepajas Metalurgs L 0-629.9 1159 1697 3.19% 13.68% 83.13%-3.58 -7.0 19
2010-10-31 @ Tranzits Ventspils W 6-029.9 1697 1159 83.13% 13.68% 3.19%+3.58 +7.0 58
2010-10-31 Ventspils D 2-278.8 1742 1676 50.03% 17.99% 31.98%+0.44 -1.1 66
2010-10-31 @ Skonto D 2-278.8 1676 1742 31.98% 17.99% 50.03%-0.44 +1.1 60
2010-11-07 Blazma W 3-140.1 1593 1257 74.77% 16.16% 9.07%+2.23 +6.4 56
2010-11-07 @ Daugava Daugavpils L 1-340.1 1257 1593 9.07% 16.16% 74.77%-2.23 -6.4 24
2010-11-07 Jauniga Riga W 6-028.0 1741 1081 86.32% 12.00% 1.68%+4.39 +3.5 69
2010-11-07 @ Skonto L 0-628.0 1081 1741 1.68% 12.00% 86.32%-4.39 -3.5 16
2010-11-07 Jelgava D 1-155.1 1226 1351 24.94% 17.79% 57.27%-0.83 +2.7 28
2010-11-07 @ FK Jurmala-VV D 1-155.1 1351 1226 57.27% 17.79% 24.94%+0.83 -2.7 25
2010-11-07 JFK Olimps W 2-145.5 1704 1298 78.29% 15.37% 6.34%+2.70 +2.6 61
2010-11-07 @ Liepajas Metalurgs L 1-245.5 1298 1704 6.34% 15.37% 78.29%-2.70 -2.6 21
2010-11-07 Tranzits Ventspils W 5-029.3 1677 1152 82.74% 13.85% 3.41%+3.49 +6.3 63
2010-11-07 @ Ventspils L 0-529.3 1152 1677 3.41% 13.85% 82.74%-3.49 -6.3 19

Biggest Upsets

The 25 games where the underdog won despite the lowest pregame win probability. Underdog Win % is the winner's pregame chance of winning the game (lower = bigger upset). @ before a team name indicates the away side. An asterisk (*) after the date marks a playoff game.

# Date Underdog Win % Winning Team Losing Team
Team Elo Score Team Elo Score
1 2010-06-30 6.46% FK Jurmala-VV 1267 2 @ Liepajas Metalurgs 1670 1
2 2010-05-15 17.90% @ Daugava Daugavpils 1446 1 Ventspils 1643 0
3 2010-04-24 18.00% @ Blazma 1286 3 Daugava Daugavpils 1482 1
4 2010-10-22 18.14% Daugava Daugavpils 1557 1 @ Skonto 1751 0
5 2010-09-15 18.25% Jauniga Riga 1132 1 @ FK Jurmala-VV 1326 0
6 2010-04-11 18.58% @ Tranzits Ventspils 1206 2 Jauniga Riga 1395 0
7 2010-04-22 20.25% FK Jurmala-VV 1184 2 @ Jelgava 1355 1
8 2010-07-08 22.63% Daugava Daugavpils 1497 1 @ Liepajas Metalurgs 1643 0
9 2010-06-19 23.76% @ Jauniga Riga 1123 1 Tranzits Ventspils 1259 0
10 2010-07-07 24.10% JFK Olimps 1307 2 @ Jelgava 1440 1
11 2010-09-23 26.67% Tranzits Ventspils 1175 2 @ JFK Olimps 1285 0
12 2010-07-25 26.84% @ FK Jurmala-VV 1312 2 Jelgava 1420 1
13 2010-10-23 28.38% @ JFK Olimps 1245 2 Jelgava 1339 1
14 2010-04-17 29.51% Blazma 1267 1 @ Jauniga Riga 1352 0
15 2010-06-12 30.64% JFK Olimps 1192 9 @ Jauniga Riga 1268 0
16 2010-05-08 30.76% FK Jurmala-VV 1195 2 @ JFK Olimps 1270 0
17 2010-08-22 31.68% Liepajas Metalurgs 1622 4 @ Ventspils 1690 2
18 2010-08-28 33.33% @ Blazma 1151 2 Tranzits Ventspils 1206 0
19 2010-06-05 34.08% @ Tranzits Ventspils 1236 3 Blazma 1286 1
20 2010-07-03 34.50% Jauniga Riga 1145 2 @ Blazma 1191 1
21 2010-06-12 35.54% FK Jurmala-VV 1218 4 @ Blazma 1257 0
22 2010-10-02 36.30% Blazma 1180 3 @ Tranzits Ventspils 1213 0
23 2010-10-27 37.73% JFK Olimps 1263 3 @ FK Jurmala-VV 1286 0
24 2010-06-12 38.45% @ Ventspils 1645 2 Skonto 1663 1

Biggest Elo Changes

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

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2010-06-12 144.38 JFK Olimps 9 1192 30.64% @ Jauniga Riga 0 1268 51.39% 17.96%
2 2010-06-12 61.24 FK Jurmala-VV 4 1218 35.54% @ Blazma 0 1257 46.42% 18.04%
3 2010-05-02 53.53 @ Jelgava 4 1334 42.41% JFK Olimps 0 1324 39.53% 18.07%
4 2010-05-30 48.72 @ Jelgava 4 1375 46.67% Blazma 0 1334 35.29% 18.04%
5 2010-10-02 46.22 Blazma 3 1180 36.30% @ Tranzits Ventspils 0 1213 45.66% 18.05%
6 2010-10-27 44.97 JFK Olimps 3 1263 37.73% @ FK Jurmala-VV 0 1286 44.21% 18.06%
7 2010-04-11 43.50 @ Tranzits Ventspils 2 1206 18.58% Jauniga Riga 0 1395 63.99% 17.43%
8 2010-04-18 41.78 @ Ventspils 7 1591 66.38% JFK Olimps 0 1375 16.37% 17.24%
9 2010-10-23 40.09 Blazma 4 1227 54.03% @ Jauniga Riga 0 1129 28.08% 17.90%
10 2010-04-24 38.03 @ Blazma 3 1286 18.00% Daugava Daugavpils 1 1482 64.61% 17.39%
11 2010-09-23 37.91 Tranzits Ventspils 2 1175 26.67% @ JFK Olimps 0 1285 55.48% 17.85%
12 2010-05-08 35.25 FK Jurmala-VV 2 1195 30.76% @ JFK Olimps 0 1270 51.28% 17.97%
13 2010-08-28 33.64 @ Blazma 2 1151 33.33% Tranzits Ventspils 0 1206 48.66% 18.01%
14 2010-05-15 31.47 @ Skonto 7 1619 71.11% Jauniga Riga 0 1341 12.16% 16.74%
15 2010-06-05 28.73 @ Tranzits Ventspils 3 1236 34.08% Blazma 1 1286 47.89% 18.02%
16 2010-08-22 26.86 Liepajas Metalurgs 4 1622 31.68% @ Ventspils 2 1690 50.33% 17.98%
17 2010-06-30 26.44 FK Jurmala-VV 2 1267 6.46% @ Liepajas Metalurgs 1 1670 78.12% 15.42%
18 2010-10-27 24.57 @ Jelgava 2 1321 48.49% Blazma 0 1267 33.49% 18.02%
19 2010-08-01 23.40 Skonto 5 1674 70.78% @ Jelgava 0 1401 12.44% 16.78%
20 2010-05-15 23.33 @ Daugava Daugavpils 1 1446 17.90% Ventspils 0 1643 64.72% 17.38%
21 2010-10-22 23.24 Daugava Daugavpils 1 1557 18.14% @ Skonto 0 1751 64.46% 17.40%
22 2010-09-15 23.20 Jauniga Riga 1 1132 18.25% @ FK Jurmala-VV 0 1326 64.35% 17.40%
23 2010-05-15 22.77 @ Blazma 2 1311 51.41% JFK Olimps 0 1235 30.63% 17.96%
24 2010-06-06 22.58 @ Jelgava 4 1424 58.21% Jauniga Riga 1 1290 24.04% 17.75%
25 2010-07-08 21.56 Daugava Daugavpils 1 1497 22.63% @ Liepajas Metalurgs 0 1643 59.69% 17.68%

Most & Least Exciting Games

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

# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2010-10-31 78.8 @ Skonto 2 1742 50.03% Ventspils 2 1676 31.98% 17.99%
2 2010-08-27 71.9 @ Daugava Daugavpils 1 1539 19.45% Skonto 1 1719 63.06% 17.49%
3 2010-08-08 71.0 @ Ventspils 1 1688 61.41% Daugava Daugavpils 1 1525 21.00% 17.59%
4 2010-09-12 70.9 @ Jelgava 3 1371 20.18% Daugava Daugavpils 3 1543 62.28% 17.54%
5 2010-08-22 70.6 Liepajas Metalurgs 4 1622 31.68% @ Ventspils 2 1690 50.33% 17.98%
6 2010-05-29 68.4 @ Skonto 0 1655 41.08% Liepajas Metalurgs 0 1654 40.85% 18.07%
7 2010-05-09 68.1 @ Liepajas Metalurgs 0 1645 41.25% Ventspils 0 1643 40.69% 18.07%
8 2010-05-01 67.8 @ Daugava Daugavpils 1 1444 17.25% Liepajas Metalurgs 1 1649 65.43% 17.32%
9 2010-10-01 67.7 @ Liepajas Metalurgs 0 1690 57.39% Daugava Daugavpils 0 1564 24.83% 17.78%
10 2010-10-22 66.7 Daugava Daugavpils 1 1557 18.14% @ Skonto 0 1751 64.46% 17.40%
11 2010-06-12 65.5 @ Ventspils 2 1645 38.45% Skonto 1 1663 43.49% 18.06%
12 2010-10-27 65.1 Skonto 2 1728 43.44% @ Liepajas Metalurgs 1 1711 38.50% 18.06%
13 2010-06-30 64.6 FK Jurmala-VV 2 1267 6.46% @ Liepajas Metalurgs 1 1670 78.12% 15.42%
14 2010-08-15 62.3 Skonto 2 1701 50.17% @ Liepajas Metalurgs 1 1634 31.84% 17.99%
15 2010-07-08 61.9 Daugava Daugavpils 1 1497 22.63% @ Liepajas Metalurgs 0 1643 59.69% 17.68%
16 2010-05-15 61.7 @ Daugava Daugavpils 1 1446 17.90% Ventspils 0 1643 64.72% 17.38%
17 2010-06-13 61.1 @ Daugava Daugavpils 1 1467 43.97% Jelgava 1 1446 37.97% 18.06%
18 2010-08-21 61.0 @ FK Jurmala-VV 2 1334 42.97% JFK Olimps 2 1320 38.97% 18.06%
19 2010-08-15 60.3 @ Tranzits Ventspils 2 1213 26.76% JFK Olimps 2 1321 55.39% 17.86%
20 2010-10-23 60.3 Liepajas Metalurgs 1 1696 41.92% @ Ventspils 0 1689 40.01% 18.07%
21 2010-09-12 60.1 @ JFK Olimps 2 1305 62.67% Jauniga Riga 2 1130 19.81% 17.52%
22 2010-10-02 59.9 @ Jauniga Riga 2 1136 26.53% JFK Olimps 2 1247 55.62% 17.85%
23 2010-04-11 59.2 @ JFK Olimps 1 1373 27.19% Daugava Daugavpils 1 1478 54.94% 17.87%
24 2010-09-12 58.5 @ Skonto 1 1715 47.64% Ventspils 0 1667 34.33% 18.03%
25 2010-05-08 57.7 @ Jauniga Riga 1 1339 26.70% Daugava Daugavpils 1 1448 55.45% 17.85%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2010-11-07 28.0 @ Skonto 6 1741 86.32% Jauniga Riga 0 1081 1.68% 12.00%
2 2010-07-24 28.7 @ Liepajas Metalurgs 4 1622 81.20% Jauniga Riga 0 1143 4.34% 14.46%
3 2010-08-15 28.8 Ventspils 5 1685 83.54% @ Jauniga Riga 0 1133 2.97% 13.49%
4 2010-10-17 29.1 @ Liepajas Metalurgs 8 1687 83.46% Jauniga Riga 0 1138 3.01% 13.53%
5 2010-11-07 29.3 @ Ventspils 5 1677 82.74% Tranzits Ventspils 0 1152 3.41% 13.85%
6 2010-10-31 29.9 Liepajas Metalurgs 6 1697 83.13% @ Tranzits Ventspils 0 1159 3.19% 13.68%
7 2010-08-22 30.1 @ Skonto 6 1712 83.64% Blazma 0 1157 2.91% 13.45%
8 2010-07-09 30.2 Ventspils 5 1677 82.00% @ Blazma 0 1175 3.84% 14.16%
9 2010-08-06 30.2 Skonto 3 1697 83.82% @ Jauniga Riga 0 1136 2.82% 13.36%
10 2010-09-12 30.2 Liepajas Metalurgs 4 1663 81.61% @ Tranzits Ventspils 0 1172 4.08% 14.31%
11 2010-09-15 30.9 Skonto 6 1728 83.83% @ Tranzits Ventspils 0 1166 2.81% 13.35%
12 2010-07-25 31.3 @ Daugava Daugavpils 2 1518 75.58% Blazma 0 1167 8.41% 16.00%
13 2010-05-01 31.5 @ Skonto 5 1596 75.99% Tranzits Ventspils 0 1237 8.09% 15.92%
14 2010-06-02 31.7 Liepajas Metalurgs 3 1654 80.38% @ JFK Olimps 0 1197 4.87% 14.75%
15 2010-08-21 31.9 @ Daugava Daugavpils 1 1536 78.41% Jauniga Riga 0 1127 6.25% 15.34%
16 2010-09-19 32.8 @ Ventspils 2 1664 81.14% Blazma 0 1186 4.38% 14.48%
17 2010-10-27 32.8 @ Daugava Daugavpils 1 1580 78.84% Tranzits Ventspils 0 1161 5.94% 15.22%
18 2010-10-31 33.3 Jelgava 1 1345 69.75% @ Jauniga Riga 0 1087 13.35% 16.91%
19 2010-10-27 33.5 @ Ventspils 4 1674 84.46% Jauniga Riga 1 1089 2.50% 13.04%
20 2010-06-30 33.8 @ Daugava Daugavpils 2 1485 68.90% Tranzits Ventspils 0 1238 14.10% 17.00%
21 2010-05-19 34.1 Skonto 2 1650 79.10% @ Tranzits Ventspils 0 1226 5.76% 15.15%
22 2010-10-23 34.1 Blazma 4 1227 54.03% @ Jauniga Riga 0 1129 28.08% 17.90%
23 2010-04-10 34.2 @ Liepajas Metalurgs 4 1630 75.60% Blazma 0 1279 8.40% 16.00%
24 2010-06-22 34.5 Skonto 4 1648 76.51% @ FK Jurmala-VV 0 1279 7.69% 15.81%
25 2010-04-23 34.6 Ventspils 2 1633 77.57% @ Tranzits Ventspils 0 1243 6.87% 15.56%