Home / Leagues / Latvia / Virsliga / 2007
‹ ›

2007 Virsliga Season

112 games

Final

Champion

Ventspils

60 points

Relegated

No relegation

Biggest Overachiever

Ventspils

7.35 points above expected

60 points · 52.65 expected points

Biggest Disappointment

FK Jurmala

8.80 points below expected

26 points · 34.80 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 Ventspils 28 18 6 4 60 59 16 +43 52.65 +7.35
2 Liepajas Metalurgs 28 18 4 6 58 41 20 +21 56.08 +1.92
3 FK Riga 28 17 6 5 57 48 28 +20 50.97 +6.03
4 Skonto 28 16 7 5 55 53 26 +27 49.75 +5.25
5 Daugava Daugavpils 28 9 6 13 33 32 37 -5 31.47 +1.53
6 FK Jurmala 28 7 5 16 26 28 51 -23 34.80 -8.80
7 Dinaburg 28 6 2 20 20 22 57 -35 25.63 -5.63
8 Olimps Riga 28 2 2 24 8 15 63 -48 15.46 -7.46

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 Ventspils 60 52.65 +7.35
2 FK Riga 57 50.97 +6.03
3 Skonto 55 49.75 +5.25
4 Liepajas Metalurgs 58 56.08 +1.92
5 Daugava Daugavpils 33 31.47 +1.53

Biggest Disappointments

# Team Actual Sim vsSim
1 FK Jurmala 26 34.80 -8.80
2 Olimps Riga 8 15.46 -7.46
3 Dinaburg 20 25.63 -5.63
4 Daugava Daugavpils 33 31.47 +1.53
5 Liepajas Metalurgs 58 56.08 +1.92

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 Ventspils 11 Jul 12 – Oct 31 1 in 238
2 FK Riga 4 Apr 7 – Apr 25 1 in 91
3 Liepajas Metalurgs 6 Apr 25 – May 20 1 in 22
4 Skonto 3 Jun 21 – Jul 7 1 in 15
5 Olimps Riga 1 Jul 28 – Jul 28 1 in 10

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Dinaburg 8 Jul 13 – Sep 16 1 in 109
2 FK Jurmala 7 Sep 22 – Nov 4 1 in 75
3 Olimps Riga 7 May 4 – Jun 21 1 in 16
4 Daugava Daugavpils 4 Apr 7 – Apr 29 1 in 12
5 Skonto 2 Apr 25 – Apr 29 1 in 5

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Skonto 10 May 4 – Jul 7 1 in 124
2 Ventspils 14 Jun 30 – Nov 4 1 in 41
3 FK Riga 9 May 20 – Aug 7 1 in 27
4 Daugava Daugavpils 5 Oct 4 – Nov 4 1 in 12
5 FK Jurmala 5 Apr 7 – May 4 1 in 7

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Liepajas Metalurgs 4 Aug 11 – Sep 22 1 in 25
2 Olimps Riga 16 Apr 7 – Jul 12 1 in 13
3 FK Jurmala 9 Aug 26 – Nov 4 1 in 12
4 Dinaburg 8 Jul 13 – Sep 16 1 in 9
5 Ventspils 3 Jun 26 – Jul 8 1 in 8

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
Ventspils 1781 60 +50 13 10.9 +2.1
Liepajas Metalurgs 1604 58 +24 9 8.8 +0.2
FK Riga 1531 57 -61 9 9.3 -0.3
Skonto 1697 55 +53 12 10.0 +2.0
Daugava Daugavpils 1502 33 +43 11 8.4 +2.6
FK Jurmala 1117 26 -37 0 1.6 -1.6
Dinaburg 1232 20 -20 3 3.4 -0.4
Olimps Riga 1106 8 -60 0 2.5 -2.5

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 DD DIN FJ FR LM OR SKO VEN
Daugava Daugavpils —
2-0-2
6.92
4-0-0
4.85
0-1-3
3.48
0-1-3
2.29
3-1-0
8.45
0-1-3
2.86
0-2-2
2.40
Dinaburg
2-0-2
4.37
—
1-1-2
3.94
0-0-4
2.07
0-0-4
1.97
3-0-1
7.79
0-1-3
2.91
0-0-4
2.30
FK Jurmala
0-0-4
6.44
2-1-1
7.35
—
1-1-2
3.07
0-1-3
2.60
3-0-1
8.68
0-1-3
3.68
1-1-2
4.05
FK Riga
3-1-0
7.81
4-0-0
9.25
2-1-1
8.24
—
2-1-1
4.08
4-0-0
10.00
1-2-1
5.89
1-1-2
5.05
Liepajas Metalurgs
3-1-0
9.02
4-0-0
9.35
3-1-0
8.72
1-1-2
7.20
—
4-0-0
10.08
1-1-2
6.33
2-0-2
5.57
Olimps Riga
0-1-3
2.85
1-0-3
3.50
1-0-3
2.63
0-0-4
1.35
0-0-4
1.28
—
0-0-4
1.91
0-1-3
1.35
Skonto
3-1-0
8.44
3-1-0
8.41
3-1-0
7.63
1-2-1
5.39
2-1-1
4.96
4-0-0
9.43
—
0-1-3
5.76
Ventspils
2-2-0
8.90
4-0-0
9.02
2-1-1
7.27
2-1-1
6.23
2-0-2
5.72
3-1-0
10.02
3-1-0
5.52
—

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 0.90 +12.4
Allowed 0.95 -11.2
Differential 0.96 +6.1

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
07.14%9.82%9.38%4.91%2.68%2.23%36.16%
19.82%5.36%5.36%4.02%0.45%—25.00%
29.38%5.36%3.57%1.79%0.45%—20.54%
34.91%4.02%1.79%—0.45%—11.16%
42.68%0.45%0.45%0.45%0.89%—4.91%
5+2.23%—————2.23%
Total36.16%25.00%20.54%11.16%4.91%2.23%100%

Summary Statistics

Scored Allowed Difference
Mean 1.33 1.33 +0.00
SD 1.43 1.43 2.28
CV 1.07 1.07 —
Max 10 10 +10
Min 0 0 -10

Games Played: 112

↓ Scored | Allowed →012345+Total
07.14%7.14%3.57%———17.86%
117.86%10.71%10.71%21.43%——60.71%
27.14%3.57%3.57%3.57%——17.86%
3———————
4———————
5+3.57%—————3.57%
Total35.71%21.43%17.86%25.00%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.14 1.32 -0.18
SD 0.97 1.22 1.63
CV 0.85 0.92 —
Max 5 3 +5
Min 0 0 -2

Games Played: 28

↓ Scored | Allowed →012345+Total
03.57%14.29%14.29%14.29%7.14%3.57%57.14%
13.57%—10.71%3.57%——17.86%
23.57%3.57%3.57%—3.57%—14.29%
33.57%3.57%3.57%———10.71%
4———————
5+———————
Total14.29%21.43%32.14%17.86%10.71%3.57%100%

Summary Statistics

Scored Allowed Difference
Mean 0.79 2.04 -1.25
SD 1.07 1.43 2.03
CV 1.36 0.70 —
Max 3 6 +3
Min 0 0 -6

Games Played: 28

↓ Scored | Allowed →012345+Total
07.14%14.29%10.71%7.14%3.57%7.14%50.00%
13.57%7.14%10.71%———21.43%
27.14%3.57%3.57%———14.29%
33.57%3.57%——3.57%—10.71%
4———————
5+3.57%—————3.57%
Total25.00%28.57%25.00%7.14%7.14%7.14%100%

Summary Statistics

Scored Allowed Difference
Mean 1.00 1.82 -0.82
SD 1.31 2.09 2.78
CV 1.31 1.15 —
Max 5 10 +5
Min 0 0 -10

Games Played: 28

↓ Scored | Allowed →012345+Total
010.71%3.57%7.14%3.57%——25.00%
110.71%—3.57%———14.29%
217.86%7.14%7.14%———32.14%
33.57%7.14%10.71%———21.43%
43.57%———3.57%—7.14%
5+———————
Total46.43%17.86%28.57%3.57%3.57%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.71 1.00 +0.71
SD 1.27 1.12 1.56
CV 0.74 1.12 —
Max 4 4 +4
Min 0 0 -3

Games Played: 28

↓ Scored | Allowed →012345+Total
010.71%7.14%10.71%3.57%——32.14%
114.29%3.57%————17.86%
214.29%14.29%————28.57%
310.71%3.57%————14.29%
43.57%——3.57%——7.14%
5+———————
Total53.57%28.57%10.71%7.14%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.46 0.71 +0.75
SD 1.29 0.94 1.71
CV 0.88 1.31 —
Max 4 3 +4
Min 0 0 -3

Games Played: 28

↓ Scored | Allowed →012345+Total
0—21.43%17.86%10.71%7.14%7.14%64.29%
1—7.14%7.14%—3.57%—17.86%
23.57%3.57%—10.71%——17.86%
3———————
4———————
5+———————
Total3.57%32.14%25.00%21.43%10.71%7.14%100%

Summary Statistics

Scored Allowed Difference
Mean 0.54 2.25 -1.71
SD 0.79 1.32 1.63
CV 1.48 0.59 —
Max 2 5 +2
Min 0 0 -5

Games Played: 28

↓ Scored | Allowed →012345+Total
07.14%7.14%3.57%—3.57%—21.43%
110.71%3.57%—3.57%——17.86%
210.71%3.57%10.71%———25.00%
314.29%7.14%————21.43%
47.14%3.57%——3.57%—14.29%
5+———————
Total50.00%25.00%14.29%3.57%7.14%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.89 0.93 +0.96
SD 1.37 1.21 1.93
CV 0.72 1.31 —
Max 4 4 +4
Min 0 0 -4

Games Played: 28

↓ Scored | Allowed →012345+Total
010.71%3.57%7.14%———21.43%
117.86%10.71%—3.57%——32.14%
210.71%3.57%————14.29%
33.57%7.14%————10.71%
47.14%—3.57%———10.71%
5+10.71%—————10.71%
Total60.71%25.00%10.71%3.57%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.11 0.57 +1.54
SD 2.25 0.84 2.57
CV 1.07 1.46 —
Max 10 3 +10
Min 0 0 -2

Games Played: 28

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
Ventspils 1781 60 52.65 +7.35 91.0% 32 42 48 53 58 64 71
Skonto 1697 55 49.75 +5.25 81.0% 36 38 46 49 54 60 63
Liepajas Metalurgs 1604 58 56.08 +1.92 59.0% 39 44 52 57 61 65 69
FK Riga 1531 57 50.97 +6.03 81.0% 30 39 46 51 55 64 69
Daugava Daugavpils 1502 33 31.47 +1.53 60.0% 13 21 26 32 36 43 48
Dinaburg 1232 20 25.63 -5.63 18.0% 13 16 22 25 29 38 43
FK Jurmala 1117 26 34.80 -8.80 12.0% 14 25 30 35 39 45 49
Olimps Riga 1106 8 15.46 -7.46 10.0% 4 7 12 15 19 25 29

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
+13.39%
Strong Edge
48.21%16.96%34.82%
Elo Value
Home Edge: 46.81 Elo pts.
195 Elo
0.005 goals per Elo point
0500
Scoring Tilt
Expected
+0.46 goals
Neutral
-2+0.24+2

Title Race

How these are measured

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

Title-Race Openness
Effective number of teams with a live shot at finishing 1st, from the simulation. 1 means the favorite is a near-lock; larger means a wide-open race. Equal to 1 divided by the sum of squared title odds.
One-Team Race: under 2 * Top-Heavy: 2 to 3 * Open: 3 to 4 * Wide Open: 4 and up.
Champion Preseason Odds
Preseason probability that the eventual champion would finish 1st, from the simulation. The dot marks their rank across all teams, from longshot to favorite.
Preseason Favorite: 1st * Among the Favorites: 2nd * Middle of the Pack: 3rd to 4th * Longshot: 5th or lower.
Title Margin
Points-per-game gap between the champion and the runner-up. Shown per game so it reads the same across long and short seasons. The gold line is the winning margin the model expected, so a dot to the right means a more one-sided race than projected. A title won on goal difference shows 0.00.
Photo Finish: under 0.09 * Tight Race: 0.09 to 0.16 * Comfortable: 0.16 to 0.3 * Runaway: 0.3 and up.
Title-Race Openness
3.2
Open
12348
Champion Preseason Odds
23%
Ventspils, 2nd of 8
LongshotFavorite
Title Margin
Expected
0.07/gm
Photo Finish
00.190.5/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread
Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.23 * Some Luck: 5.23 to 7.84 * Lucky: 7.84 to 10.46 * Wild Swing: 10.46 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 0.6 * Close: 0.6 to 0.9 * Off: 0.9 to 1.2 * Way Off: 1.2 and up.
Biggest Overachiever
The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 8 typically lands.
Biggest Underachiever
The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 8 typically lands.
Season Outliers
Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 8 * As Expected: 8 to 12.8 * Several Outliers: 12.8 to 17.6 * Many Outliers: 17.6 and up.
Luck Spread
Expected
6.01 points
Some Luck
06.5416
Average Finish Error
Expected
0.50
Pinpoint
00.752
Biggest Overachiever
Expected 93.75%
91.00%
Ventspils
50100
Biggest Underachiever
Expected
10.00%
Olimps Riga
06.25%50
Season Outliers
Expected
0 of 8
Minimal Outliers
00.88

Parity

How these are measured

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

Gini Index
How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.24 * Even: 0.24 to 0.27 * Top-Heavy: 0.27 to 0.28 * Lopsided: 0.28 and up.
Noll-Scully
Take a league where every match is a coin flip and nobody is better than anybody. You would still get a table, with a leader and a bottom club, purely by luck, and you can work out how far apart that table would be. This is the real table measured against it. At 1.00 the season was no more spread out than pure chance; at 2.00 it was twice as spread out, which takes genuine differences in quality. Dividing by the luck figure is what makes seasons of different lengths comparable, because a short season spreads a table by luck alone far more than a long one does. Elo SD in the corner is the same question in rating points: how far apart the teams finished on the ratings.
Coin-Flip Parity: under 2.55 * Moderate Separation: 2.55 to 2.8 * Strong Separation: 2.8 to 2.95 * Wide Separation: 2.95 and up.
Interquartile Edge
Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 82% * Slight Edge: 82% to 86.5% * Clear Edge: 86.5% to 91.5% * Wide Edge: 91.5% and up.
Best vs. Worst
Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 97% * Clear Edge: 97% to 98% * Strong Edge: 98% to 99% * Dominant: 99% and up.
Close Games
Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 49% * Some Drama: 49% to 51% * Frequent: 51% to 57.5% * Very Frequent: 57.5% and up.
Blowouts
Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 21% * Occasional: 21% to 27.5% * Frequent: 27.5% to 32% * Very Frequent: 32% and up.
Gini Index
0.26
Even
00.240.5
Noll-Scully
Elo SD: 261.89
2.79
Moderate 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
52%
Frequent
0%49%100%
Blowouts
Expected
21%
Rare
0%28%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
0.46
Highly Predictable
00.502
Matchup Imbalance
0.53
Slight Separation
00.5
Strangeness
Expected
0.91
As Expected
01.002
Repeatability
0.60
Weak Carryover
00.620.761
Upset Rate
Expected
19%
Very Upset-Prone
0%19%50%
Clear Favorite Upset Rate
Expected
13%
As Expected
0%16%50%

Calibration

How these are measured

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

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.14 * Near Noise Ceiling: 0.14 to 0.21 * Above Noise: 0.21 to 0.28 * Well Above Noise: 0.28 and up.
Probability calibration
0.22
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
1.15
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.091
Well Within Noise
00.1390.4

Final Table Odds

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

Team12345678
Ventspils23.00%28.00%26.00%19.00%3.00%1.00%——
Liepajas Metalurgs45.00%22.00%21.00%10.00%2.00%———
FK Riga20.00%24.00%21.00%26.00%7.00%2.00%——
Skonto12.00%23.00%30.00%29.00%6.00%———
Daugava Daugavpils—2.00%—5.00%29.00%35.00%26.00%3.00%
FK Jurmala—1.00%2.00%8.00%50.00%29.00%9.00%1.00%
Dinaburg———3.00%3.00%31.00%54.00%9.00%
Olimps Riga—————2.00%11.00%87.00%

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
Daugava Daugavpils 100%
Dinaburg 100%
FK Jurmala 100%
FK Riga 100%
Liepajas Metalurgs 100%
Olimps Riga 100%
Skonto 100%
Ventspils 100%

Overall Game Log

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

Date Opponent ScoreExcitement Pre Elo Opp Elo Win % Tie % Loss %Proj. Margin Elo Δ Points
2007-04-07 Daugava Daugavpils W 3-146.6 1589 1400 67.74% 17.45% 14.80%+1.21 +18.6 3
2007-04-07 @ Liepajas Metalurgs L 1-346.6 1400 1589 14.80% 17.45% 67.74%-1.21 -18.6 0
2007-04-07 Dinaburg W 1-044.7 1435 1426 48.77% 17.96% 33.27%+0.29 +23.3 3
2007-04-07 @ FK Jurmala L 0-144.7 1426 1435 33.27% 17.96% 48.77%-0.29 -23.3 0
2007-04-07 Olimps Riga W 1-038.1 1549 1316 70.92% 17.23% 11.85%+1.44 +9.2 3
2007-04-07 @ Skonto L 0-138.1 1316 1549 11.85% 17.23% 70.92%-1.44 -9.2 0
2007-04-07 Ventspils W 1-051.1 1348 1505 26.51% 17.87% 55.62%-0.57 +36.3 3
2007-04-07 @ FK Riga L 0-151.1 1505 1348 55.62% 17.87% 26.51%+0.57 -36.3 0
2007-04-13 FK Riga L 1-349.8 1382 1384 47.27% 17.97% 34.76%+0.23 -51.1 0
2007-04-13 @ Daugava Daugavpils W 3-149.8 1384 1382 34.76% 17.97% 47.27%-0.23 +51.1 6
2007-04-14 FK Jurmala L 0-238.1 1307 1459 27.16% 17.89% 54.96%-0.54 -37.0 0
2007-04-14 @ Olimps Riga W 2-038.1 1459 1307 54.96% 17.89% 27.16%+0.54 +37.0 6
2007-04-15 Dinaburg W 2-149.2 1608 1403 68.95% 17.38% 13.67%+1.29 +10.0 6
2007-04-15 @ Liepajas Metalurgs L 1-249.2 1403 1608 13.67% 17.38% 68.95%-1.29 -10.0 0
2007-04-15 Skonto W 2-052.2 1469 1559 34.97% 17.98% 47.05%-0.22 +58.8 3
2007-04-15 @ Ventspils L 0-252.2 1559 1469 47.05% 17.98% 34.97%+0.22 -58.8 3
2007-04-19 Liepajas Metalurgs W 3-054.7 1435 1618 23.72% 17.81% 58.47%-0.70 +104.3 9
2007-04-19 @ FK Riga L 0-354.7 1618 1435 58.47% 17.81% 23.72%+0.70 -104.3 6
2007-04-20 Daugava Daugavpils W 3-141.8 1500 1331 66.17% 17.54% 16.30%+1.11 +20.3 6
2007-04-20 @ Skonto L 1-341.8 1331 1500 16.30% 17.54% 66.17%-1.11 -20.3 0
2007-04-20 Olimps Riga W 1-036.9 1393 1270 62.00% 17.71% 20.29%+0.87 +15.2 3
2007-04-20 @ Dinaburg L 0-136.9 1270 1393 20.29% 17.71% 62.00%-0.87 -15.2 0
2007-04-20 Ventspils W 3-155.2 1496 1528 43.15% 17.99% 38.86%+0.08 +43.4 9
2007-04-20 @ FK Jurmala L 1-355.2 1528 1496 38.86% 17.99% 43.15%-0.08 -43.4 3
2007-04-25 Dinaburg W 4-038.1 1484 1408 57.02% 17.85% 25.14%+0.63 +65.6 6
2007-04-25 @ Ventspils L 0-438.1 1408 1484 25.14% 17.85% 57.02%-0.63 -65.6 3
2007-04-25 Olimps Riga W 1-035.3 1513 1255 72.49% 17.10% 10.41%+1.57 +8.2 9
2007-04-25 @ Liepajas Metalurgs L 0-135.3 1255 1513 10.41% 17.10% 72.49%-1.57 -8.2 0
2007-04-25 Skonto W 1-051.2 1539 1520 50.10% 17.95% 31.94%+0.34 +22.5 12
2007-04-25 @ FK Riga L 0-151.2 1520 1539 31.94% 17.95% 50.10%-0.34 -22.6 6
2007-04-29 Daugava Daugavpils W 2-145.4 1343 1310 51.76% 17.93% 30.31%+0.41 +20.3 6
2007-04-29 @ Dinaburg L 1-245.4 1310 1343 30.31% 17.93% 51.76%-0.41 -20.3 0
2007-04-29 FK Riga D 0-064.5 1539 1562 44.41% 17.99% 37.60%+0.12 -1.1 10
2007-04-29 @ FK Jurmala D 0-064.5 1562 1539 37.60% 17.99% 44.41%-0.12 +1.1 13
2007-04-29 Liepajas Metalurgs L 0-448.4 1498 1522 44.25% 17.99% 37.76%+0.12 -105.9 6
2007-04-29 @ Skonto W 4-048.4 1522 1498 37.76% 17.99% 44.25%-0.12 +105.9 12
2007-04-29 Ventspils D 1-159.3 1247 1550 13.35% 17.35% 69.30%-1.32 +9.0 1
2007-04-29 @ Olimps Riga D 1-159.3 1550 1247 69.30% 17.35% 13.35%+1.32 -9.0 7
2007-05-04 FK Jurmala D 2-268.5 1392 1538 27.81% 17.90% 54.29%-0.51 +3.0 7
2007-05-04 @ Skonto D 2-268.5 1538 1392 54.29% 17.90% 27.81%+0.51 -3.0 11
2007-05-04 Dinaburg W 2-038.4 1563 1363 68.61% 17.40% 13.99%+1.27 +20.4 16
2007-05-04 @ FK Riga L 0-238.4 1363 1563 13.99% 17.40% 68.61%-1.27 -20.4 6
2007-05-04 Olimps Riga W 2-036.7 1290 1256 52.05% 17.93% 30.02%+0.42 +40.3 3
2007-05-04 @ Daugava Daugavpils L 0-236.7 1256 1290 30.02% 17.93% 52.05%-0.42 -40.3 1
2007-05-04 Ventspils W 2-049.8 1627 1541 58.21% 17.82% 23.97%+0.69 +33.2 15
2007-05-04 @ Liepajas Metalurgs L 0-249.8 1541 1627 23.97% 17.82% 58.21%-0.69 -33.2 7
2007-05-08 Daugava Daugavpils W 3-141.8 1508 1330 66.83% 17.50% 15.67%+1.15 +19.6 10
2007-05-08 @ Ventspils L 1-341.8 1330 1508 15.67% 17.50% 66.83%-1.15 -19.6 3
2007-05-08 FK Riga L 2-346.0 1215 1583 9.60% 17.00% 73.40%-1.65 -6.8 1
2007-05-08 @ Olimps Riga W 3-246.0 1583 1215 73.40% 17.00% 9.60%+1.65 +6.8 19
2007-05-08 Liepajas Metalurgs L 3-467.8 1535 1661 30.34% 17.93% 51.73%-0.40 -18.8 11
2007-05-08 @ FK Jurmala W 4-367.8 1661 1535 51.73% 17.93% 30.34%+0.40 +18.8 18
2007-05-08 Skonto D 2-263.5 1343 1395 40.23% 17.99% 41.77%-0.03 +0.2 7
2007-05-08 @ Dinaburg D 2-263.5 1395 1343 41.77% 17.99% 40.23%+0.03 -0.2 8
2007-05-12 FK Jurmala D 0-056.1 1343 1516 24.70% 17.84% 57.46%-0.65 +5.6 8
2007-05-12 @ Dinaburg D 0-056.1 1516 1343 57.46% 17.84% 24.70%+0.65 -5.6 12
2007-05-12 FK Riga W 1-056.6 1527 1590 38.70% 17.99% 43.31%-0.08 +29.1 13
2007-05-12 @ Ventspils L 0-156.6 1590 1527 43.31% 17.99% 38.70%+0.08 -29.1 19
2007-05-12 Liepajas Metalurgs L 1-247.1 1311 1679 9.57% 17.00% 73.42%-1.65 -7.1 3
2007-05-12 @ Daugava Daugavpils W 2-147.1 1679 1311 73.42% 17.00% 9.57%+1.65 +7.1 21
2007-05-12 Skonto L 1-438.1 1209 1395 23.36% 17.80% 58.84%-0.72 -39.7 1
2007-05-12 @ Olimps Riga W 4-138.1 1395 1209 58.84% 17.80% 23.36%+0.72 +39.7 11
2007-05-16 Dinaburg W 3-035.7 1434 1348 58.13% 17.82% 24.05%+0.68 +48.3 14
2007-05-16 @ Skonto L 0-335.7 1348 1434 24.05% 17.82% 58.13%-0.68 -48.3 8
2007-05-16 Ventspils L 0-154.3 1511 1556 41.17% 17.99% 40.83%+0.01 -27.9 12
2007-05-16 @ FK Jurmala W 1-054.3 1556 1511 40.83% 17.99% 41.17%-0.01 +27.9 16
2007-05-20 Daugava Daugavpils W 3-248.0 1561 1304 72.42% 17.10% 10.48%+1.56 +7.4 22
2007-05-20 @ FK Riga L 2-348.0 1304 1561 10.48% 17.10% 72.42%-1.56 -7.4 3
2007-05-20 Olimps Riga W 5-027.6 1483 1169 75.42% 16.76% 7.82%+1.85 +27.3 15
2007-05-20 @ FK Jurmala L 0-527.6 1169 1483 7.82% 16.76% 75.42%-1.85 -27.3 1
2007-05-20 Liepajas Metalurgs L 1-246.7 1300 1687 8.73% 16.89% 74.38%-1.75 -6.5 8
2007-05-20 @ Dinaburg W 2-146.7 1687 1300 74.38% 16.89% 8.73%+1.75 +6.5 24
2007-05-20 Ventspils D 0-063.4 1483 1584 33.43% 17.96% 48.61%-0.28 +2.5 15
2007-05-20 @ Skonto D 0-063.4 1584 1483 48.61% 17.96% 33.43%+0.28 -2.5 17
2007-05-24 FK Jurmala D 1-168.8 1582 1510 56.52% 17.86% 25.63%+0.61 -4.7 18
2007-05-24 @ Ventspils D 1-168.8 1510 1582 25.63% 17.86% 56.52%-0.61 +4.7 16
2007-05-24 Dinaburg L 0-235.5 1142 1293 27.14% 17.88% 54.97%-0.54 -37.0 1
2007-05-24 @ Olimps Riga W 2-035.5 1293 1142 54.97% 17.88% 27.14%+0.54 +37.0 11
2007-05-24 FK Riga D 0-068.5 1693 1568 62.14% 17.71% 20.16%+0.88 -7.3 25
2007-05-24 @ Liepajas Metalurgs D 0-068.5 1568 1693 20.16% 17.71% 62.14%-0.88 +7.3 23
2007-05-24 Skonto L 1-342.8 1296 1485 23.08% 17.80% 59.13%-0.73 -27.8 3
2007-05-24 @ Daugava Daugavpils W 3-142.8 1485 1296 59.13% 17.80% 23.08%+0.73 +27.8 18
2007-06-09 Ventspils L 2-448.3 1330 1577 17.63% 17.60% 64.76%-1.03 -19.5 11
2007-06-09 @ Dinaburg W 4-248.3 1577 1330 64.76% 17.60% 17.63%+1.03 +19.5 21
2007-06-10 Daugava Daugavpils L 1-259.5 1515 1269 71.74% 17.17% 11.10%+1.51 -44.2 16
2007-06-10 @ FK Jurmala W 2-159.5 1269 1515 11.10% 17.17% 71.74%-1.51 +44.2 6
2007-06-10 FK Riga D 4-479.7 1513 1576 38.71% 17.99% 43.30%-0.08 +0.4 19
2007-06-10 @ Skonto D 4-479.7 1576 1513 43.30% 17.99% 38.71%+0.08 -0.4 24
2007-06-10 Liepajas Metalurgs L 1-238.5 1105 1686 3.11% 15.42% 81.47%-2.75 -2.3 1
2007-06-10 @ Olimps Riga W 2-138.5 1686 1105 81.47% 15.42% 3.11%+2.75 +2.3 28
2007-06-13 Dinaburg L 1-348.1 1313 1311 47.79% 17.97% 34.24%+0.25 -51.7 6
2007-06-13 @ Daugava Daugavpils W 3-148.1 1311 1313 34.24% 17.97% 47.79%-0.25 +51.6 14
2007-06-21 Olimps Riga W 2-029.1 1596 1102 81.63% 15.37% 3.00%+2.78 +4.4 24
2007-06-21 @ Ventspils L 0-229.1 1102 1596 3.00% 15.37% 81.63%-2.78 -4.5 1
2007-06-21 Skonto L 0-263.3 1688 1513 66.63% 17.51% 15.85%+1.14 -81.8 28
2007-06-21 @ Liepajas Metalurgs W 2-063.3 1513 1688 15.85% 17.51% 66.63%-1.14 +81.8 22
2007-06-26 Daugava Daugavpils D 1-155.7 1098 1261 25.84% 17.86% 56.30%-0.60 +4.6 2
2007-06-26 @ Olimps Riga D 1-155.7 1261 1098 56.30% 17.86% 25.84%+0.60 -4.6 7
2007-06-26 Liepajas Metalurgs L 0-257.6 1601 1606 46.83% 17.98% 35.19%+0.21 -58.6 24
2007-06-26 @ Ventspils W 2-057.6 1606 1601 35.19% 17.98% 46.83%-0.21 +58.6 31
2007-06-26 Skonto L 1-256.4 1471 1595 30.47% 17.93% 51.60%-0.40 -20.4 16
2007-06-26 @ FK Jurmala W 2-156.4 1595 1471 51.60% 17.93% 30.47%+0.40 +20.4 25
2007-06-30 FK Jurmala W 2-044.8 1665 1450 69.65% 17.33% 13.02%+1.34 +19.0 34
2007-06-30 @ Liepajas Metalurgs L 0-244.8 1450 1665 13.02% 17.33% 69.65%-1.34 -19.0 16
2007-06-30 Olimps Riga W 3-241.7 1575 1102 81.09% 15.55% 3.36%+2.67 +2.4 27
2007-06-30 @ FK Riga L 2-341.7 1102 1575 3.36% 15.55% 81.09%-2.67 -2.4 2
2007-06-30 Ventspils D 1-159.3 1256 1542 14.55% 17.44% 68.01%-1.23 +8.5 8
2007-06-30 @ Daugava Daugavpils D 1-159.3 1542 1256 68.01% 17.44% 14.55%+1.23 -8.5 25
2007-07-07 Olimps Riga W 3-027.4 1615 1100 82.15% 15.18% 2.68%+2.89 +5.8 28
2007-07-07 @ Skonto L 0-327.4 1100 1615 2.68% 15.18% 82.15%-2.89 -5.8 2
2007-07-08 Liepajas Metalurgs L 0-139.4 1265 1684 7.38% 16.68% 75.94%-1.91 -5.8 8
2007-07-08 @ Daugava Daugavpils W 1-039.4 1684 1265 75.94% 16.68% 7.38%+1.91 +5.8 37
2007-07-08 Ventspils D 0-064.9 1578 1534 53.25% 17.91% 28.84%+0.47 -4.1 28
2007-07-08 @ FK Riga D 0-064.9 1534 1578 28.84% 17.91% 53.25%-0.47 +4.1 26
2007-07-12 FK Jurmala L 1-238.6 1094 1431 11.27% 17.18% 71.55%-1.49 -8.3 2
2007-07-12 @ Olimps Riga W 2-138.6 1431 1094 71.55% 17.18% 11.27%+1.49 +8.3 19
2007-07-12 Skonto W 3-161.9 1538 1621 35.86% 17.98% 46.16%-0.19 +50.1 29
2007-07-12 @ Ventspils L 1-361.9 1621 1538 46.16% 17.98% 35.86%+0.19 -50.1 28
2007-07-13 Dinaburg W 3-039.0 1690 1363 76.02% 16.67% 7.30%+1.92 +15.8 40
2007-07-13 @ Liepajas Metalurgs L 0-339.0 1363 1690 7.30% 16.67% 76.02%-1.92 -15.8 14
2007-07-13 FK Riga D 2-265.7 1259 1574 12.61% 17.30% 70.09%-1.38 +6.9 9
2007-07-13 @ Daugava Daugavpils D 2-265.7 1574 1259 70.09% 17.30% 12.61%+1.38 -6.9 29
2007-07-19 FK Jurmala W 2-043.2 1567 1439 62.41% 17.70% 19.89%+0.89 +28.1 32
2007-07-19 @ FK Riga L 0-243.2 1439 1567 19.89% 17.70% 62.41%-0.89 -28.1 19
2007-07-24 FK Jurmala W 1-047.3 1266 1411 27.94% 17.90% 54.16%-0.51 +35.4 12
2007-07-24 @ Daugava Daugavpils L 0-147.3 1411 1266 54.16% 17.90% 27.94%+0.51 -35.4 19
2007-07-28 Daugava Daugavpils W 2-035.3 1571 1302 73.13% 17.03% 9.84%+1.63 +14.6 31
2007-07-28 @ Skonto L 0-235.3 1302 1571 9.84% 17.03% 73.13%-1.63 -14.6 12
2007-07-28 Olimps Riga L 1-256.7 1347 1086 72.62% 17.08% 10.30%+1.58 -44.7 14
2007-07-28 @ Dinaburg W 2-156.7 1086 1347 10.30% 17.08% 72.62%-1.58 +44.7 5
2007-07-28 Liepajas Metalurgs W 2-060.1 1595 1705 32.25% 17.95% 49.80%-0.33 +61.8 35
2007-07-28 @ FK Riga L 0-260.1 1705 1595 49.80% 17.95% 32.25%+0.33 -61.9 40
2007-08-04 Dinaburg W 3-034.5 1376 1302 56.78% 17.85% 25.37%+0.62 +50.7 22
2007-08-04 @ FK Jurmala L 0-334.5 1302 1376 25.37% 17.85% 56.78%-0.62 -50.6 14
2007-08-06 Olimps Riga W 1-032.5 1644 1131 82.08% 15.20% 2.71%+2.88 +2.1 43
2007-08-06 @ Liepajas Metalurgs L 0-132.5 1131 1644 2.71% 15.20% 82.08%-2.88 -2.1 5
2007-08-07 Skonto D 2-278.3 1657 1586 56.45% 17.86% 25.69%+0.61 -3.5 36
2007-08-07 @ FK Riga D 2-278.3 1586 1657 25.69% 17.86% 56.45%-0.61 +3.5 32
2007-08-08 FK Jurmala W 5-042.4 1287 1427 28.61% 17.91% 53.48%-0.48 +154.4 15
2007-08-08 @ Daugava Daugavpils L 0-542.4 1427 1287 53.48% 17.91% 28.61%+0.48 -154.4 22
2007-08-11 Liepajas Metalurgs D 0-068.0 1589 1646 39.62% 17.99% 42.39%-0.05 +0.5 33
2007-08-11 @ Skonto D 0-068.0 1646 1589 42.39% 17.99% 39.62%+0.05 -0.5 44
2007-08-12 Daugava Daugavpils L 0-235.7 1251 1441 22.95% 17.79% 59.26%-0.74 -31.9 14
2007-08-12 @ Dinaburg W 2-035.7 1441 1251 59.26% 17.79% 22.95%+0.74 +31.9 18
2007-08-12 FK Riga W 2-056.3 1272 1653 8.98% 16.93% 74.10%-1.72 +91.4 25
2007-08-12 @ FK Jurmala L 0-256.3 1653 1272 74.10% 16.93% 8.98%+1.72 -91.4 36
2007-08-13 Ventspils L 0-527.7 1129 1588 5.96% 16.40% 77.64%-2.12 -20.8 5
2007-08-13 @ Olimps Riga W 5-027.7 1588 1129 77.64% 16.40% 5.96%+2.12 +20.8 32
2007-08-18 Dinaburg W 6-029.8 1609 1219 78.52% 16.22% 5.26%+2.24 +21.8 35
2007-08-18 @ Ventspils L 0-629.8 1219 1609 5.26% 16.22% 78.52%-2.24 -21.8 14
2007-08-26 FK Jurmala W 4-036.2 1590 1364 70.44% 17.27% 12.28%+1.40 +34.2 36
2007-08-26 @ Skonto L 0-436.2 1364 1590 12.28% 17.27% 70.44%-1.40 -34.2 25
2007-08-26 Dinaburg W 3-136.8 1562 1198 77.59% 16.41% 6.00%+2.11 +7.8 39
2007-08-26 @ FK Riga L 1-336.8 1198 1562 6.00% 16.41% 77.59%-2.11 -7.8 14
2007-08-26 Ventspils L 0-259.7 1645 1631 49.50% 17.96% 32.54%+0.32 -61.5 44
2007-08-26 @ Liepajas Metalurgs W 2-059.7 1631 1645 32.54% 17.96% 49.50%-0.32 +61.5 38
2007-08-27 Olimps Riga W 1-031.6 1473 1108 77.63% 16.40% 5.97%+2.12 +4.7 21
2007-08-27 @ Daugava Daugavpils L 0-131.6 1108 1473 5.97% 16.40% 77.63%-2.12 -4.7 5
2007-08-30 FK Riga L 0-232.3 1190 1570 9.03% 16.93% 74.03%-1.71 -13.4 14
2007-08-30 @ Dinaburg W 2-032.3 1570 1190 74.03% 16.93% 9.03%+1.71 +13.4 42
2007-09-16 Daugava Daugavpils W 1-048.8 1692 1478 69.62% 17.33% 13.05%+1.34 +10.1 41
2007-09-16 @ Ventspils L 0-148.8 1478 1692 13.05% 17.33% 69.62%-1.34 -10.1 21
2007-09-16 Liepajas Metalurgs D 1-162.5 1329 1584 16.97% 17.57% 65.46%-1.07 +7.7 26
2007-09-16 @ FK Jurmala D 1-162.5 1584 1329 65.46% 17.57% 16.97%+1.07 -7.7 45
2007-09-16 Skonto L 0-429.5 1176 1624 6.34% 16.48% 77.17%-2.06 -18.0 14
2007-09-16 @ Dinaburg W 4-029.5 1624 1176 77.17% 16.48% 6.34%+2.06 +18.0 39
2007-09-17 FK Riga L 0-229.9 1103 1583 5.34% 16.25% 78.41%-2.23 -8.0 5
2007-09-17 @ Olimps Riga W 2-029.9 1583 1103 78.41% 16.25% 5.34%+2.23 +8.0 45
2007-09-21 FK Riga W 2-159.3 1702 1591 60.81% 17.75% 21.45%+0.81 +15.0 44
2007-09-21 @ Ventspils L 1-259.3 1591 1702 21.45% 17.75% 60.81%-0.81 -15.0 45
2007-09-22 Daugava Daugavpils D 0-062.6 1576 1468 60.50% 17.76% 21.74%+0.80 -6.7 46
2007-09-22 @ Liepajas Metalurgs D 0-062.6 1468 1576 21.74% 17.76% 60.50%-0.80 +6.7 22
2007-09-22 FK Jurmala W 3-043.1 1158 1337 24.15% 17.82% 58.03%-0.68 +103.6 17
2007-09-22 @ Dinaburg L 0-343.1 1337 1158 58.03% 17.82% 24.15%+0.68 -103.6 26
2007-09-22 Skonto L 0-328.2 1095 1642 3.74% 15.72% 80.54%-2.57 -8.1 5
2007-09-22 @ Olimps Riga W 3-028.2 1642 1095 80.54% 15.72% 3.74%+2.57 +8.1 42
2007-09-26 Olimps Riga L 0-246.3 1233 1087 64.20% 17.63% 18.17%+0.99 -78.8 26
2007-09-26 @ FK Jurmala W 2-046.3 1087 1233 18.17% 17.63% 64.20%-0.99 +78.8 8
2007-09-27 Daugava Daugavpils W 2-153.4 1576 1475 59.80% 17.78% 22.42%+0.76 +15.6 48
2007-09-27 @ FK Riga L 1-253.4 1475 1576 22.42% 17.78% 59.80%-0.76 -15.6 22
2007-09-30 Liepajas Metalurgs L 0-137.6 1262 1569 13.07% 17.33% 69.59%-1.34 -10.1 17
2007-09-30 @ Dinaburg W 1-037.6 1569 1262 69.59% 17.33% 13.07%+1.34 +10.1 49
2007-10-04 FK Jurmala W 10-030.4 1717 1155 83.18% 14.75% 2.08%+3.13 +13.8 47
2007-10-04 @ Ventspils L 0-1030.4 1155 1717 2.08% 14.75% 83.18%-3.13 -13.8 26
2007-10-04 Dinaburg L 2-350.7 1166 1252 35.50% 17.98% 46.53%-0.20 -22.0 8
2007-10-04 @ Olimps Riga W 3-250.7 1252 1166 46.53% 17.98% 35.50%+0.20 +22.0 20
2007-10-04 FK Riga W 2-053.6 1579 1592 45.89% 17.98% 36.13%+0.18 +47.2 52
2007-10-04 @ Liepajas Metalurgs L 0-253.6 1592 1579 36.13% 17.98% 45.89%-0.18 -47.2 48
2007-10-04 Skonto D 1-169.4 1459 1650 22.84% 17.79% 59.37%-0.74 +5.6 23
2007-10-04 @ Daugava Daugavpils D 1-169.4 1650 1459 59.37% 17.79% 22.84%+0.74 -5.6 43
2007-10-07 Daugava Daugavpils L 0-133.8 1141 1465 12.04% 17.25% 70.71%-1.42 -9.4 26
2007-10-07 @ FK Jurmala W 1-033.8 1465 1141 70.71% 17.25% 12.04%+1.42 +9.4 26
2007-10-08 FK Riga W 3-048.1 1644 1545 59.63% 17.78% 22.59%+0.75 +45.7 46
2007-10-08 @ Skonto L 0-348.1 1545 1644 22.59% 17.78% 59.63%-0.75 -45.7 48
2007-10-08 Liepajas Metalurgs L 0-329.4 1144 1627 5.26% 16.22% 78.52%-2.24 -11.4 8
2007-10-08 @ Olimps Riga W 3-029.4 1627 1144 78.52% 16.22% 5.26%+2.24 +11.4 55
2007-10-08 Ventspils L 0-336.8 1274 1731 6.03% 16.42% 77.56%-2.11 -13.1 20
2007-10-08 @ Dinaburg W 3-036.8 1731 1274 77.56% 16.42% 6.03%+2.11 +13.1 50
2007-10-21 FK Jurmala W 2-137.4 1499 1131 77.70% 16.39% 5.91%+2.13 +4.4 51
2007-10-21 @ FK Riga L 1-237.4 1131 1499 5.91% 16.39% 77.70%-2.13 -4.4 26
2007-10-21 Dinaburg W 1-035.6 1474 1261 69.55% 17.34% 13.11%+1.34 +10.2 29
2007-10-21 @ Daugava Daugavpils L 0-135.6 1261 1474 13.11% 17.34% 69.55%-1.34 -10.2 20
2007-10-22 Olimps Riga W 4-029.5 1744 1132 84.13% 14.28% 1.59%+3.38 +4.4 53
2007-10-22 @ Ventspils L 0-429.5 1132 1744 1.59% 14.28% 84.13%-3.38 -4.4 8
2007-10-22 Skonto L 0-160.0 1638 1690 40.26% 17.99% 41.74%-0.03 -27.3 55
2007-10-22 @ Liepajas Metalurgs W 1-060.0 1690 1638 41.74% 17.99% 40.26%+0.03 +27.4 49
2007-10-27 Daugava Daugavpils L 0-133.3 1128 1484 10.20% 17.07% 72.72%-1.59 -8.0 8
2007-10-27 @ Olimps Riga W 1-033.3 1484 1128 72.72% 17.07% 10.20%+1.59 +8.0 32
2007-10-27 FK Riga L 0-137.2 1251 1503 17.12% 17.58% 65.30%-1.06 -13.0 20
2007-10-27 @ Dinaburg W 1-037.2 1503 1251 65.30% 17.58% 17.12%+1.06 +13.0 54
2007-10-27 Liepajas Metalurgs W 1-053.8 1749 1611 63.40% 17.66% 18.94%+0.95 +14.3 56
2007-10-27 @ Ventspils L 0-153.8 1611 1749 18.94% 17.66% 63.40%-0.95 -14.3 55
2007-10-27 Skonto L 0-134.3 1127 1717 2.96% 15.34% 81.70%-2.79 -2.3 26
2007-10-27 @ FK Jurmala W 1-034.3 1717 1127 81.70% 15.34% 2.96%+2.79 +2.3 52
2007-10-31 Ventspils L 0-161.4 1720 1763 41.54% 17.99% 40.46%+0.02 -28.1 52
2007-10-31 @ Skonto W 1-061.4 1763 1720 40.46% 17.99% 41.54%-0.02 +28.1 59
2007-11-04 FK Jurmala W 3-027.8 1596 1125 81.05% 15.56% 3.39%+2.66 +7.3 58
2007-11-04 @ Liepajas Metalurgs L 0-327.8 1125 1596 3.39% 15.56% 81.05%-2.66 -7.3 26
2007-11-04 Dinaburg W 2-034.9 1692 1238 80.57% 15.71% 3.72%+2.57 +5.5 55
2007-11-04 @ Skonto L 0-234.9 1238 1692 3.72% 15.71% 80.57%-2.57 -5.5 20
2007-11-04 Olimps Riga W 4-026.6 1516 1120 78.76% 16.17% 5.07%+2.28 +14.4 57
2007-11-04 @ FK Riga L 0-426.6 1120 1516 5.07% 16.17% 78.76%-2.28 -14.4 8
2007-11-04 Ventspils D 0-069.0 1492 1791 13.65% 17.38% 68.97%-1.29 +9.9 33
2007-11-04 @ Daugava Daugavpils D 0-069.0 1791 1492 68.97% 17.38% 13.65%+1.29 -9.9 60

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 2007-08-12 8.98% @ FK Jurmala 1272 2 FK Riga 1653 0
2 2007-07-28 10.30% Olimps Riga 1086 2 @ Dinaburg 1347 1
3 2007-06-10 11.10% Daugava Daugavpils 1269 2 @ FK Jurmala 1515 1
4 2007-06-21 15.85% Skonto 1513 2 @ Liepajas Metalurgs 1688 0
5 2007-09-26 18.17% Olimps Riga 1087 2 @ FK Jurmala 1233 0
6 2007-04-19 23.72% @ FK Riga 1435 3 Liepajas Metalurgs 1618 0
7 2007-09-22 24.15% @ Dinaburg 1158 3 FK Jurmala 1337 0
8 2007-04-07 26.51% @ FK Riga 1348 1 Ventspils 1505 0
9 2007-07-24 27.94% @ Daugava Daugavpils 1266 1 FK Jurmala 1411 0
10 2007-08-08 28.61% @ Daugava Daugavpils 1287 5 FK Jurmala 1427 0
11 2007-07-28 32.25% @ FK Riga 1595 2 Liepajas Metalurgs 1705 0
12 2007-08-26 32.54% Ventspils 1631 2 @ Liepajas Metalurgs 1645 0
13 2007-06-13 34.24% Dinaburg 1311 3 @ Daugava Daugavpils 1313 1
14 2007-04-13 34.76% FK Riga 1384 3 @ Daugava Daugavpils 1382 1
15 2007-04-15 34.97% @ Ventspils 1469 2 Skonto 1559 0
16 2007-06-26 35.19% Liepajas Metalurgs 1606 2 @ Ventspils 1601 0
17 2007-07-12 35.86% @ Ventspils 1538 3 Skonto 1621 1
18 2007-04-29 37.76% Liepajas Metalurgs 1522 4 @ Skonto 1498 0
19 2007-05-12 38.70% @ Ventspils 1527 1 FK Riga 1590 0
20 2007-10-31 40.46% Ventspils 1763 1 @ Skonto 1720 0
21 2007-05-16 40.83% Ventspils 1556 1 @ FK Jurmala 1511 0

Biggest Elo Changes

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

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2007-08-08 154.37 @ Daugava Daugavpils 5 1287 28.61% FK Jurmala 0 1427 53.48% 17.91%
2 2007-04-29 105.87 Liepajas Metalurgs 4 1522 37.76% @ Skonto 0 1498 44.25% 17.99%
3 2007-04-19 104.33 @ FK Riga 3 1435 23.72% Liepajas Metalurgs 0 1618 58.47% 17.81%
4 2007-09-22 103.58 @ Dinaburg 3 1158 24.15% FK Jurmala 0 1337 58.03% 17.82%
5 2007-08-12 91.37 @ FK Jurmala 2 1272 8.98% FK Riga 0 1653 74.10% 16.93%
6 2007-06-21 81.85 Skonto 2 1513 15.85% @ Liepajas Metalurgs 0 1688 66.63% 17.51%
7 2007-09-26 78.81 Olimps Riga 2 1087 18.17% @ FK Jurmala 0 1233 64.20% 17.63%
8 2007-04-25 65.62 @ Ventspils 4 1484 57.02% Dinaburg 0 1408 25.14% 17.85%
9 2007-07-28 61.85 @ FK Riga 2 1595 32.25% Liepajas Metalurgs 0 1705 49.80% 17.95%
10 2007-08-26 61.52 Ventspils 2 1631 32.54% @ Liepajas Metalurgs 0 1645 49.50% 17.96%
11 2007-04-15 58.82 @ Ventspils 2 1469 34.97% Skonto 0 1559 47.05% 17.98%
12 2007-06-26 58.58 Liepajas Metalurgs 2 1606 35.19% @ Ventspils 0 1601 46.83% 17.98%
13 2007-06-13 51.65 Dinaburg 3 1311 34.24% @ Daugava Daugavpils 1 1313 47.79% 17.97%
14 2007-04-13 51.15 FK Riga 3 1384 34.76% @ Daugava Daugavpils 1 1382 47.27% 17.97%
15 2007-08-04 50.65 @ FK Jurmala 3 1376 56.78% Dinaburg 0 1302 25.37% 17.85%
16 2007-07-12 50.10 @ Ventspils 3 1538 35.86% Skonto 1 1621 46.16% 17.98%
17 2007-05-16 48.32 @ Skonto 3 1434 58.13% Dinaburg 0 1348 24.05% 17.82%
18 2007-10-04 47.16 @ Liepajas Metalurgs 2 1579 45.89% FK Riga 0 1592 36.13% 17.98%
19 2007-10-08 45.73 @ Skonto 3 1644 59.63% FK Riga 0 1545 22.59% 17.78%
20 2007-07-28 44.74 Olimps Riga 2 1086 10.30% @ Dinaburg 1 1347 72.62% 17.08%
21 2007-06-10 44.18 Daugava Daugavpils 2 1269 11.10% @ FK Jurmala 1 1515 71.74% 17.17%
22 2007-04-20 43.39 @ FK Jurmala 3 1496 43.15% Ventspils 1 1528 38.86% 17.99%
23 2007-05-04 40.32 @ Daugava Daugavpils 2 1290 52.05% Olimps Riga 0 1256 30.02% 17.93%
24 2007-05-12 39.72 Skonto 4 1395 58.84% @ Olimps Riga 1 1209 23.36% 17.80%
25 2007-04-14 37.00 FK Jurmala 2 1459 54.96% @ Olimps Riga 0 1307 27.16% 17.89%

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 2007-06-10 79.7 @ Skonto 4 1513 38.71% FK Riga 4 1576 43.30% 17.99%
2 2007-08-07 78.3 @ FK Riga 2 1657 56.45% Skonto 2 1586 25.69% 17.86%
3 2007-10-04 69.4 @ Daugava Daugavpils 1 1459 22.84% Skonto 1 1650 59.37% 17.79%
4 2007-11-04 69.0 @ Daugava Daugavpils 0 1492 13.65% Ventspils 0 1791 68.97% 17.38%
5 2007-05-24 68.8 @ Ventspils 1 1582 56.52% FK Jurmala 1 1510 25.63% 17.86%
6 2007-05-04 68.5 @ Skonto 2 1392 27.81% FK Jurmala 2 1538 54.29% 17.90%
7 2007-05-24 68.5 @ Liepajas Metalurgs 0 1693 62.14% FK Riga 0 1568 20.16% 17.71%
8 2007-08-11 68.0 @ Skonto 0 1589 39.62% Liepajas Metalurgs 0 1646 42.39% 17.99%
9 2007-05-08 67.8 Liepajas Metalurgs 4 1661 51.73% @ FK Jurmala 3 1535 30.34% 17.93%
10 2007-07-13 65.7 @ Daugava Daugavpils 2 1259 12.61% FK Riga 2 1574 70.09% 17.30%
11 2007-07-08 64.9 @ FK Riga 0 1578 53.25% Ventspils 0 1534 28.84% 17.91%
12 2007-04-29 64.5 @ FK Jurmala 0 1539 44.41% FK Riga 0 1562 37.60% 17.99%
13 2007-05-08 63.5 @ Dinaburg 2 1343 40.23% Skonto 2 1395 41.77% 17.99%
14 2007-05-20 63.4 @ Skonto 0 1483 33.43% Ventspils 0 1584 48.61% 17.96%
15 2007-06-21 63.3 Skonto 2 1513 15.85% @ Liepajas Metalurgs 0 1688 66.63% 17.51%
16 2007-09-22 62.6 @ Liepajas Metalurgs 0 1576 60.50% Daugava Daugavpils 0 1468 21.74% 17.76%
17 2007-09-16 62.5 @ FK Jurmala 1 1329 16.97% Liepajas Metalurgs 1 1584 65.46% 17.57%
18 2007-07-12 61.9 @ Ventspils 3 1538 35.86% Skonto 1 1621 46.16% 17.98%
19 2007-10-31 61.4 Ventspils 1 1763 40.46% @ Skonto 0 1720 41.54% 17.99%
20 2007-07-28 60.1 @ FK Riga 2 1595 32.25% Liepajas Metalurgs 0 1705 49.80% 17.95%
21 2007-10-22 60.0 Skonto 1 1690 41.74% @ Liepajas Metalurgs 0 1638 40.26% 17.99%
22 2007-08-26 59.7 Ventspils 2 1631 32.54% @ Liepajas Metalurgs 0 1645 49.50% 17.96%
23 2007-06-10 59.5 Daugava Daugavpils 2 1269 11.10% @ FK Jurmala 1 1515 71.74% 17.17%
24 2007-04-29 59.3 @ Olimps Riga 1 1247 13.35% Ventspils 1 1550 69.30% 17.35%
25 2007-06-30 59.3 @ Daugava Daugavpils 1 1256 14.55% Ventspils 1 1542 68.01% 17.44%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2007-11-04 26.6 @ FK Riga 4 1516 78.76% Olimps Riga 0 1120 5.07% 16.17%
2 2007-07-07 27.4 @ Skonto 3 1615 82.15% Olimps Riga 0 1100 2.68% 15.18%
3 2007-05-20 27.6 @ FK Jurmala 5 1483 75.42% Olimps Riga 0 1169 7.82% 16.76%
4 2007-08-13 27.7 Ventspils 5 1588 77.64% @ Olimps Riga 0 1129 5.96% 16.40%
5 2007-11-04 27.8 @ Liepajas Metalurgs 3 1596 81.05% FK Jurmala 0 1125 3.39% 15.56%
6 2007-09-22 28.2 Skonto 3 1642 80.54% @ Olimps Riga 0 1095 3.74% 15.72%
7 2007-06-21 29.1 @ Ventspils 2 1596 81.63% Olimps Riga 0 1102 3.00% 15.37%
8 2007-10-08 29.4 Liepajas Metalurgs 3 1627 78.52% @ Olimps Riga 0 1144 5.26% 16.22%
9 2007-09-16 29.5 Skonto 4 1624 77.17% @ Dinaburg 0 1176 6.34% 16.48%
10 2007-10-22 29.5 @ Ventspils 4 1744 84.13% Olimps Riga 0 1132 1.59% 14.28%
11 2007-08-18 29.8 @ Ventspils 6 1609 78.52% Dinaburg 0 1219 5.26% 16.22%
12 2007-09-17 29.9 FK Riga 2 1583 78.41% @ Olimps Riga 0 1103 5.34% 16.25%
13 2007-10-04 30.4 @ Ventspils 10 1717 83.18% FK Jurmala 0 1155 2.08% 14.75%
14 2007-08-27 31.6 @ Daugava Daugavpils 1 1473 77.63% Olimps Riga 0 1108 5.97% 16.40%
15 2007-08-30 32.3 FK Riga 2 1570 74.03% @ Dinaburg 0 1190 9.03% 16.93%
16 2007-08-06 32.5 @ Liepajas Metalurgs 1 1644 82.08% Olimps Riga 0 1131 2.71% 15.20%
17 2007-10-27 33.3 Daugava Daugavpils 1 1484 72.72% @ Olimps Riga 0 1128 10.20% 17.07%
18 2007-10-07 33.8 Daugava Daugavpils 1 1465 70.71% @ FK Jurmala 0 1141 12.04% 17.25%
19 2007-10-27 34.3 Skonto 1 1717 81.70% @ FK Jurmala 0 1127 2.96% 15.34%
20 2007-08-04 34.5 @ FK Jurmala 3 1376 56.78% Dinaburg 0 1302 25.37% 17.85%
21 2007-11-04 34.9 @ Skonto 2 1692 80.57% Dinaburg 0 1238 3.72% 15.71%
22 2007-04-25 35.3 @ Liepajas Metalurgs 1 1513 72.49% Olimps Riga 0 1255 10.41% 17.10%
23 2007-07-28 35.3 @ Skonto 2 1571 73.13% Daugava Daugavpils 0 1302 9.84% 17.03%
24 2007-05-24 35.5 Dinaburg 2 1293 54.97% @ Olimps Riga 0 1142 27.14% 17.88%
25 2007-10-21 35.6 @ Daugava Daugavpils 1 1474 69.55% Dinaburg 0 1261 13.11% 17.34%