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2020 Virsliga Season

135 games

Final

Champion

Riga FC

69 points

Relegated

No relegation

Biggest Overachiever

Riga FC

10.55 points above expected

69 points · 58.45 expected points

Biggest Disappointment

Daugavpils

8.79 points below expected

20 points · 28.79 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 Riga FC 27 23 0 4 69 60 21 +39 58.45 +10.55
2 FK RFS 27 21 3 3 66 66 21 +45 57.87 +8.13
3 Valmiera 27 13 8 6 47 47 33 +14 41.34 +5.66
4 Ventspils 27 12 8 7 44 40 25 +15 44.30 -0.30
5 Liepaja 27 12 6 9 42 57 34 +23 41.86 +0.14
6 Spartaks Jurmala 27 11 7 9 40 53 44 +9 37.82 +2.18
7 Jelgava 27 6 4 17 22 19 64 -45 25.23 -3.23
8 Daugavpils 27 5 5 17 20 30 48 -18 28.79 -8.79
9 Metta 27 4 4 19 16 22 55 -33 22.98 -6.98
10 Tukums 2000 27 3 5 19 14 21 70 -49 20.83 -6.83

Top Overachievers & Disappointments

Teams that most beat — or most fell short of — their simulated point projections. A positive vsSim means the team accumulated more points than the model expected on average; a negative one means fewer.

Biggest Overachievers

# Team Actual Sim vsSim
1 Riga FC 69 58.45 +10.55
2 FK RFS 66 57.87 +8.13
3 Valmiera 47 41.34 +5.66
4 Spartaks Jurmala 40 37.82 +2.18
5 Liepaja 42 41.86 +0.14

Biggest Disappointments

# Team Actual Sim vsSim
1 Daugavpils 20 28.79 -8.79
2 Metta 16 22.98 -6.98
3 Tukums 2000 14 20.83 -6.83
4 Jelgava 22 25.23 -3.23
5 Ventspils 44 44.30 -0.30

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 Riga FC 14 Jun 26 – Aug 26 1 in 326
2 Tukums 2000 2 Oct 25 – Nov 1 1 in 34
3 FK RFS 7 Jun 15 – Jul 12 1 in 34
4 Valmiera 3 Jul 8 – Jul 17 1 in 26
5 Liepaja 5 Aug 29 – Sep 28 1 in 15

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Metta 8 Sep 28 – Nov 29 1 in 73
2 Liepaja 4 Jun 26 – Jul 8 1 in 22
3 Riga FC 2 Nov 26 – Nov 29 1 in 18
4 Ventspils 2 Jul 9 – Jul 13 1 in 15
5 Jelgava 6 Aug 7 – Sep 12 1 in 9

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Valmiera 7 Jun 25 – Jul 21 1 in 53
2 Liepaja 8 Aug 12 – Sep 28 1 in 33
3 Riga FC 14 Jun 26 – Aug 26 1 in 10
4 Tukums 2000 2 Jul 30 – Aug 3 1 in 9
5 FK RFS 14 Jul 29 – Nov 7 1 in 8

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Tukums 2000 20 Jun 16 – Sep 27 1 in 180
2 Spartaks Jurmala 6 Sep 12 – Oct 17 1 in 19
3 Liepaja 7 Jul 26 – Aug 22 1 in 19
4 Daugavpils 8 Aug 11 – Oct 4 1 in 18
5 Ventspils 4 Jul 9 – Jul 21 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
Riga FC 1507 69 -127 9 11.5 -2.5
FK RFS 1648 66 +39 12 11.1 +0.9
Valmiera 1427 47 -11 8 10.2 -2.2
Ventspils 1479 44 +81 10 8.9 +1.1
Liepaja 1481 42 +38 10 9.4 +0.6
Spartaks Jurmala 1369 40 +70 12 8.2 +3.8
Jelgava 1028 22 -108 1 2.5 -1.5
Daugavpils 1100 20 -28 1 2.3 -1.3
Metta 1046 16 -56 0 3.0 -3.0
Tukums 2000 1065 14 +63 6 2.4 +3.6

Head-to-Head

Each cell shows a team's record in that matchup (row vs column, formatted W-D-L) with the model's expected points on the line below. Navy-tinted cells mean the team beat the model's expectations by more than one point in that matchup; gold-tinted cells mean they fell short by the same margin.

Beat expectations Fell short Within expectations
Team DAU FR JEL LIE MET RIG SJ T2 VAL VEN
Daugavpils —
0-0-3
1.55
0-1-2
4.38
0-1-2
3.06
3-0-0
4.84
0-0-3
1.44
0-1-2
2.96
1-1-1
4.82
0-0-3
2.89
1-1-1
2.68
FK RFS
3-0-0
6.92
 —
3-0-0
7.26
2-0-1
6.10
3-0-0
7.39
2-0-1
4.03
2-1-0
6.35
3-0-0
7.76
2-1-0
5.96
1-1-1
5.90
Jelgava
2-1-0
4.04
0-0-3
1.23
 —
0-0-3
2.19
1-1-1
4.67
0-0-3
1.40
0-0-3
2.57
2-1-0
4.43
0-1-2
2.50
1-0-2
2.28
Liepaja
2-1-0
5.35
1-0-2
2.33
3-0-0
6.26
 —
2-0-1
6.17
0-0-3
2.22
1-1-1
4.52
2-1-0
6.77
0-2-1
4.26
1-1-1
3.62
Metta
0-0-3
3.57
0-0-3
1.10
1-1-1
3.74
1-0-2
2.26
 —
0-0-3
1.02
0-1-2
2.96
2-0-1
5.08
0-1-2
1.86
0-1-2
1.86
Riga FC
3-0-0
7.04
1-0-2
4.38
3-0-0
7.09
3-0-0
6.21
3-0-0
7.49
 —
2-0-1
6.48
3-0-0
7.73
3-0-0
6.31
2-0-1
6.35
Spartaks Jurmala
2-1-0
5.46
0-1-2
2.08
3-0-0
5.86
1-1-1
3.90
2-1-0
5.46
1-0-2
1.96
 —
1-1-1
6.67
1-1-1
3.52
0-1-2
3.77
Tukums 2000
1-1-1
3.60
0-0-3
0.79
0-1-2
3.98
0-1-2
1.69
1-0-2
3.33
0-0-3
0.81
1-1-1
1.78
 —
0-0-3
1.88
0-1-2
2.12
Valmiera
3-0-0
5.54
0-1-2
2.47
2-1-0
5.94
1-2-0
4.16
2-1-0
6.59
0-0-3
2.12
1-1-1
4.90
3-0-0
6.58
 —
1-2-0
3.49
Ventspils
1-1-1
5.74
1-1-1
2.53
2-0-1
6.15
1-1-1
4.80
2-1-0
6.59
1-0-2
2.08
2-1-0
4.65
2-1-0
6.33
0-2-1
4.93
 —

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 0.84 +10.3
Allowed 0.84 -10.3
Differential 0.90 +5.5

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
03.70%7.04%7.78%5.56%1.11%2.96%28.15%
17.04%8.15%6.30%2.59%1.48%1.48%27.04%
27.78%6.30%5.93%2.22%1.11%1.11%24.44%
35.56%2.59%2.22%0.74%——11.11%
41.11%1.48%1.11%———3.70%
5+2.96%1.48%1.11%———5.56%
Total28.15%27.04%24.44%11.11%3.70%5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 1.54 1.54 +0.00
SD 1.45 1.45 2.34
CV 0.94 0.94 —
Max 7 7 +7
Min 0 0 -7

Games Played: 135

↓ Scored | Allowed →012345+Total
07.41%7.41%22.22%7.41%3.70%—48.15%
13.70%7.41%11.11%7.41%——29.63%
2———3.70%——3.70%
3—3.70%—3.70%——7.41%
4—3.70%3.70%———7.41%
5+3.70%—————3.70%
Total14.81%22.22%37.04%22.22%3.70%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.11 1.78 -0.67
SD 1.58 1.09 2.09
CV 1.42 0.61 —
Max 6 4 +6
Min 0 0 -4

Games Played: 27

↓ Scored | Allowed →012345+Total
0—3.70%————3.70%
114.81%7.41%3.70%———25.93%
27.41%11.11%3.70%3.70%——25.93%
318.52%—3.70%———22.22%
47.41%3.70%————11.11%
5+—3.70%7.41%———11.11%
Total48.15%29.63%18.52%3.70%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.44 0.78 +1.67
SD 1.40 0.89 1.57
CV 0.57 1.15 —
Max 5 3 +4
Min 0 0 -1

Games Played: 27

↓ Scored | Allowed →012345+Total
07.41%11.11%7.41%7.41%3.70%14.81%51.85%
111.11%—3.70%3.70%3.70%3.70%25.93%
23.70%7.41%7.41%3.70%——22.22%
3———————
4———————
5+———————
Total22.22%18.52%18.52%14.81%7.41%18.52%100%

Summary Statistics

Scored Allowed Difference
Mean 0.70 2.37 -1.67
SD 0.82 2.10 2.47
CV 1.17 0.88 —
Max 2 7 +2
Min 0 0 -7

Games Played: 27

↓ Scored | Allowed →012345+Total
0—7.41%3.70%3.70%——14.81%
13.70%14.81%11.11%—3.70%—33.33%
27.41%—7.41%——3.70%18.52%
37.41%3.70%3.70%———14.81%
43.70%—————3.70%
5+11.11%3.70%————14.81%
Total33.33%29.63%25.93%3.70%3.70%3.70%100%

Summary Statistics

Scored Allowed Difference
Mean 2.11 1.26 +0.85
SD 1.80 1.29 2.63
CV 0.85 1.02 —
Max 7 5 +7
Min 0 0 -3

Games Played: 27

↓ Scored | Allowed →012345+Total
03.70%18.52%7.41%14.81%——44.44%
13.70%3.70%11.11%3.70%3.70%7.41%33.33%
23.70%3.70%7.41%—3.70%—18.52%
3—3.70%————3.70%
4———————
5+———————
Total11.11%29.63%25.93%18.52%7.41%7.41%100%

Summary Statistics

Scored Allowed Difference
Mean 0.81 2.04 -1.22
SD 0.88 1.40 1.65
CV 1.08 0.69 —
Max 3 5 +2
Min 0 0 -4

Games Played: 27

↓ Scored | Allowed →012345+Total
0——3.70%7.41%——11.11%
114.81%—3.70%———18.52%
225.93%11.11%————37.04%
311.11%3.70%————14.81%
4—3.70%3.70%———7.41%
5+—7.41%3.70%———11.11%
Total51.85%25.93%14.81%7.41%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.22 0.78 +1.44
SD 1.45 0.97 1.83
CV 0.65 1.25 —
Max 5 3 +4
Min 0 0 -3

Games Played: 27

↓ Scored | Allowed →012345+Total
0———————
17.41%14.81%11.11%3.70%3.70%—40.74%
211.11%7.41%7.41%7.41%7.41%—40.74%
3—3.70%3.70%3.70%——11.11%
4—3.70%————3.70%
5+3.70%—————3.70%
Total22.22%29.63%22.22%14.81%11.11%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.96 1.63 +0.33
SD 1.29 1.31 1.98
CV 0.65 0.80 —
Max 7 4 +7
Min 1 0 -3

Games Played: 27

↓ Scored | Allowed →012345+Total
07.41%—22.22%11.11%—14.81%55.56%
1—7.41%7.41%3.70%—3.70%22.22%
2—3.70%3.70%3.70%—3.70%14.81%
3—3.70%————3.70%
4——3.70%———3.70%
5+———————
Total7.41%14.81%37.04%18.52%—22.22%100%

Summary Statistics

Scored Allowed Difference
Mean 0.78 2.59 -1.81
SD 1.09 1.62 2.09
CV 1.40 0.63 —
Max 4 6 +2
Min 0 0 -6

Games Played: 27

↓ Scored | Allowed →012345+Total
0—11.11%3.70%—3.70%—18.52%
17.41%11.11%————18.52%
211.11%7.41%18.52%——3.70%40.74%
311.11%—7.41%———18.52%
4———————
5+3.70%—————3.70%
Total33.33%29.63%29.63%—3.70%3.70%100%

Summary Statistics

Scored Allowed Difference
Mean 1.74 1.22 +0.52
SD 1.20 1.25 1.91
CV 0.69 1.02 —
Max 5 5 +5
Min 0 0 -4

Games Played: 27

↓ Scored | Allowed →012345+Total
011.11%11.11%7.41%3.70%——33.33%
13.70%14.81%—3.70%——22.22%
27.41%11.11%3.70%———22.22%
37.41%3.70%3.70%———14.81%
4———————
5+7.41%—————7.41%
Total37.04%40.74%14.81%7.41%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.48 0.93 +0.56
SD 1.48 0.92 1.97
CV 1.00 0.99 —
Max 5 3 +5
Min 0 0 -3

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
FK RFS 1648 66 57.87 +8.13 90.0% 43 47 53 58 62 68 73
Riga FC 1507 69 58.45 +10.55 98.0% 42 48 55 58 63 69 71
Liepaja 1481 42 41.86 +0.14 51.0% 29 32 38 42 46 52 54
Ventspils 1479 44 44.30 -0.30 54.0% 25 35 40 44 49 54 61
Valmiera 1427 47 41.34 +5.66 85.0% 28 33 37 41 45 50 56
Spartaks Jurmala 1369 40 37.82 +2.18 64.0% 18 26 34 38 42 47 57
Daugavpils 1100 20 28.79 -8.79 7.0% 15 19 24 28 33 41 44
Tukums 2000 1065 14 20.83 -6.83 13.0% 9 11 17 21 24 30 37
Metta 1046 16 22.98 -6.98 15.0% 7 13 18 22 27 33 39
Jelgava 1028 22 25.23 -3.23 38.0% 10 16 21 25 29 36 39

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
+7.41%
Clear Edge
44.44%18.52%37.04%
Elo Value
Home Edge: 25.78 Elo pts.
173 Elo
0.006 goals per Elo point
0500
Scoring Tilt
Expected
+0.08 goals
Neutral
-2+0.15+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
2.1
Top-Heavy
123410
Champion Preseason Odds
54%
Riga FC, 1st of 10
LongshotFavorite
Title Margin
Expected
0.11/gm
Tight Race
00.240.5/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 4.86 * Some Luck: 4.86 to 7.29 * Lucky: 7.29 to 9.72 * Wild Swing: 9.72 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 0.76 * Close: 0.76 to 1.14 * Off: 1.14 to 1.51 * Way Off: 1.51 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
6.30 points
Some Luck
06.0715
Average Finish Error
Expected
0.60
Pinpoint
00.952
Biggest Overachiever
Expected 95.00%
98.00%
Riga FC
50100
Biggest Underachiever
Expected 5.00%
7.00%
Daugavpils
050
Season Outliers
Expected
1 of 10
Minimal Outliers
01.010

Parity

How these are measured

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

Gini Index
How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.24 * Even: 0.24 to 0.27 * Top-Heavy: 0.27 to 0.28 * Lopsided: 0.28 and up.
Noll-Scully
Take a league where every match is a coin flip and nobody is better than anybody. You would still get a table, with a leader and a bottom club, purely by luck, and you can work out how far apart that table would be. This is the real table measured against it. At 1.00 the season was no more spread out than pure chance; at 2.00 it was twice as spread out, which takes genuine differences in quality. Dividing by the luck figure is what makes seasons of different lengths comparable, because a short season spreads a table by luck alone far more than a long one does. Elo SD in the corner is the same question in rating points: how far apart the teams finished on the ratings.
Coin-Flip Parity: under 2.55 * Moderate Separation: 2.55 to 2.8 * Strong Separation: 2.8 to 2.95 * Wide Separation: 2.95 and up.
Interquartile Edge
Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 82% * Slight Edge: 82% to 86.5% * Clear Edge: 86.5% to 91.5% * Wide Edge: 91.5% and up.
Best vs. Worst
Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 97% * Clear Edge: 97% to 98% * Strong Edge: 98% to 99% * Dominant: 99% and up.
Close Games
Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 49% * Some Drama: 49% to 51% * Frequent: 51% to 57.5% * Very Frequent: 57.5% and up.
Blowouts
Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 21% * Occasional: 21% to 27.5% * Frequent: 27.5% to 32% * Very Frequent: 32% and up.
Gini Index
0.28
Top-Heavy
00.240.5
Noll-Scully
Elo SD: 231.24
2.78
Moderate Separation
12.552.953.5
Interquartile Edge
91%
Clear Edge
50%82%100%
Best vs. Worst
Baseline 99%
97%
Clear Edge
50%100%
Close Games
Expected
50%
Some Drama
0%48%100%
Blowouts
Expected
27%
Occasional
0%29%100%

Predictability

How these are measured

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

Brier Score
How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance
How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.51 * Slight Separation: 0.51 to 0.55 * Notable Separation: 0.55 to 0.58 * Lopsided: 0.58 and up.
Strangeness
How wild the final table was versus what the model expected. A value of 1 means teams landed about one standard deviation from their projections on average. Above 1 is a stranger season; below 1 hugged the projections.
Very Predictable: under 0.8 * As Expected: 0.8 to 1.1 * Wilder Than Modeled: 1.1 to 1.4 * Chaotic: 1.4 and up.
Repeatability
How closely the final table order matched the preseason Elo order, by Spearman rank correlation. Higher means last season's ratings strongly predicted this season's finish. Shows N/A for an inaugural season.
Weak Carryover: under 0.62 * Some Carryover: 0.62 to 0.76 * Strong Carryover: 0.76 to 0.83 * Near-Lock: 0.83 and up.
Upset Rate
Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 13.5% * As Expected: 13.5% to 16.5% * Upset-Prone: 16.5% to 18.5% * Very Upset-Prone: 18.5% and up.
Clear Favorite Upset Rate
Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 12% * As Expected: 12% to 14% * Shaky Favorites: 14% to 15% * Very Shaky: 15% and up.
Brier Score
Expected
0.49
Highly Predictable
00.532
Matchup Imbalance
0.50
Very Even
00.5
Strangeness
Expected
1.09
As Expected
01.002
Repeatability
0.67
Some Carryover
00.620.761
Upset Rate
Expected
19%
Very Upset-Prone
0%20%50%
Clear Favorite Upset Rate
Expected
15%
Very Shaky
0%17%50%

Calibration

How these are measured

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

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.14 * Near Noise Ceiling: 0.14 to 0.21 * Above Noise: 0.21 to 0.28 * Well Above Noise: 0.28 and up.
Probability calibration
0.25
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
1.22
Underconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.078
Well Within Noise
00.1380.4

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).

Team12345678910
Riga FC54.00%40.00%5.00%—1.00%—————
FK RFS42.00%47.00%9.00%2.00%——————
Valmiera1.00%2.00%20.00%25.00%27.00%17.00%7.00%—1.00%—
Ventspils1.00%6.00%33.00%28.00%19.00%11.00%1.00%——1.00%
Liepaja2.00%3.00%27.00%25.00%20.00%15.00%7.00%1.00%——
Spartaks Jurmala—2.00%6.00%17.00%25.00%34.00%7.00%7.00%1.00%1.00%
Jelgava————2.00%5.00%23.00%29.00%24.00%17.00%
Daugavpils———2.00%5.00%12.00%32.00%29.00%15.00%5.00%
Metta———1.00%1.00%4.00%15.00%21.00%28.00%30.00%
Tukums 2000—————2.00%8.00%13.00%31.00%46.00%

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 Direct relegation
FK RFS 100% —
Liepaja 100% —
Riga FC 100% —
Valmiera 100% —
Spartaks Jurmala 99.00% 1.00%
Ventspils 99.00% 1.00%
Daugavpils 95.00% 5.00%
Jelgava 83.00% 17.00%
Metta 70.00% 30.00%
Tukums 2000 54.00% 46.00%

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
2020-06-15 Liepaja L 0-236.0 1210 1322 28.70% 19.50% 51.80%-0.50 -27.3 0
2020-06-15 @ Daugavpils W 2-036.0 1322 1210 51.80% 19.50% 28.70%+0.50 +27.3 3
2020-06-15 Valmiera W 2-034.2 1457 1282 64.01% 18.90% 17.09%+1.16 +17.3 3
2020-06-15 @ Riga FC L 0-234.2 1282 1457 17.09% 18.90% 64.01%-1.16 -17.3 0
2020-06-15 Ventspils W 1-041.7 1403 1364 49.17% 19.56% 31.27%+0.38 +15.5 3
2020-06-15 @ FK RFS L 0-141.7 1364 1403 31.27% 19.56% 49.17%-0.38 -15.5 0
2020-06-16 Jelgava L 1-252.2 1357 1271 54.91% 19.41% 25.69%+0.65 -23.6 0
2020-06-16 @ Tukums 2000 W 2-152.2 1271 1357 25.69% 19.41% 54.91%-0.65 +23.6 3
2020-06-16 Spartaks Jurmala L 1-246.2 1218 1266 37.14% 19.63% 43.22%-0.12 -16.9 0
2020-06-16 @ Metta W 2-146.2 1266 1218 43.22% 19.63% 37.14%+0.12 +16.9 3
2020-06-20 Daugavpils W 1-036.6 1294 1183 57.78% 19.29% 22.92%+0.79 +11.9 6
2020-06-20 @ Jelgava L 0-136.6 1183 1294 22.92% 19.29% 57.78%-0.79 -11.9 0
2020-06-20 FK RFS L 0-432.9 1265 1419 23.88% 19.34% 56.78%-0.74 -44.2 0
2020-06-20 @ Valmiera W 4-032.9 1419 1265 56.78% 19.34% 23.88%+0.74 +44.2 6
2020-06-20 Tukums 2000 W 3-036.9 1348 1333 45.93% 19.61% 34.46%+0.24 +46.1 3
2020-06-20 @ Ventspils L 0-336.9 1333 1348 34.46% 19.61% 45.93%-0.24 -46.2 0
2020-06-21 Metta W 3-031.3 1349 1202 61.47% 19.09% 19.44%+1.00 +28.2 6
2020-06-21 @ Liepaja L 0-331.3 1202 1349 19.44% 19.09% 61.47%-1.00 -28.2 0
2020-06-21 Riga FC W 2-155.5 1283 1474 20.13% 19.13% 60.73%-0.96 +26.0 6
2020-06-21 @ Spartaks Jurmala L 1-255.5 1474 1283 60.73% 19.13% 20.13%+0.96 -26.0 3
2020-06-25 Daugavpils L 0-642.2 1287 1171 58.27% 19.27% 22.46%+0.82 -138.7 0
2020-06-25 @ Tukums 2000 W 6-042.2 1171 1287 22.46% 19.27% 58.27%-0.82 +138.7 3
2020-06-25 Jelgava W 1-046.0 1173 1306 26.22% 19.43% 54.35%-0.62 +24.8 3
2020-06-25 @ Metta L 0-146.0 1306 1173 54.35% 19.43% 26.22%+0.62 -24.8 6
2020-06-25 Spartaks Jurmala W 4-138.8 1463 1309 62.15% 19.04% 18.81%+1.04 +23.1 9
2020-06-25 @ FK RFS L 1-438.8 1309 1463 18.81% 19.04% 62.15%-1.04 -23.1 6
2020-06-25 Valmiera D 2-261.2 1394 1221 63.92% 18.91% 17.17%+1.15 -3.8 4
2020-06-25 @ Ventspils D 2-261.2 1221 1394 17.17% 18.91% 63.92%-1.15 +3.8 1
2020-06-26 Liepaja W 2-039.3 1448 1377 53.11% 19.47% 27.42%+0.56 +26.2 6
2020-06-26 @ Riga FC L 0-239.3 1377 1448 27.42% 19.47% 53.11%-0.56 -26.2 6
2020-06-29 Metta W 4-244.1 1310 1198 57.76% 19.29% 22.95%+0.79 +17.4 6
2020-06-29 @ Daugavpils L 2-444.1 1198 1310 22.95% 19.29% 57.76%-0.79 -17.4 3
2020-06-29 Tukums 2000 W 2-035.0 1224 1148 53.77% 19.45% 26.79%+0.59 +25.7 4
2020-06-29 @ Valmiera L 0-235.0 1148 1224 26.79% 19.45% 53.77%-0.59 -25.7 0
2020-06-29 Ventspils L 1-343.0 1286 1391 29.52% 19.52% 50.96%-0.46 -24.2 6
2020-06-29 @ Spartaks Jurmala W 3-143.0 1391 1286 50.96% 19.52% 29.52%+0.46 +24.2 7
2020-06-30 FK RFS L 2-545.6 1351 1486 25.95% 19.42% 54.63%-0.63 -26.5 6
2020-06-30 @ Liepaja W 5-245.6 1486 1351 54.63% 19.42% 25.95%+0.63 +26.6 12
2020-06-30 Riga FC L 0-333.5 1281 1474 20.00% 19.13% 60.88%-0.96 -28.9 6
2020-06-30 @ Jelgava W 3-033.5 1474 1281 60.88% 19.13% 20.00%+0.96 +28.9 9
2020-07-03 Metta L 1-343.3 1122 1181 35.60% 19.62% 44.77%-0.19 -28.3 0
2020-07-03 @ Tukums 2000 W 3-143.3 1181 1122 44.77% 19.62% 35.60%+0.19 +28.3 6
2020-07-03 Spartaks Jurmala D 2-260.4 1250 1261 42.27% 19.64% 38.09%+0.08 -0.3 5
2020-07-03 @ Valmiera D 2-260.4 1261 1250 38.09% 19.64% 42.27%-0.08 +0.3 7
2020-07-04 Daugavpils W 3-141.8 1503 1327 64.15% 18.89% 16.96%+1.17 +14.8 12
2020-07-04 @ Riga FC L 1-341.8 1327 1503 16.96% 18.89% 64.15%-1.17 -14.9 6
2020-07-04 Jelgava W 1-035.3 1513 1252 70.58% 18.18% 11.24%+1.65 +6.2 15
2020-07-04 @ FK RFS L 0-135.3 1252 1513 11.24% 18.18% 70.58%-1.65 -6.2 6
2020-07-04 Liepaja W 2-144.6 1415 1324 55.41% 19.39% 25.20%+0.67 +12.2 10
2020-07-04 @ Ventspils L 1-244.6 1324 1415 25.20% 19.39% 55.41%-0.67 -12.2 6
2020-07-07 Tukums 2000 D 1-154.5 1262 1094 63.36% 18.96% 17.69%+1.12 -5.0 8
2020-07-07 @ Spartaks Jurmala D 1-154.5 1094 1262 17.69% 18.96% 63.36%-1.12 +5.0 1
2020-07-08 FK RFS L 2-349.8 1312 1519 18.74% 19.04% 62.22%-1.04 -8.9 6
2020-07-08 @ Daugavpils W 3-249.8 1519 1312 62.22% 19.04% 18.74%+1.04 +8.9 18
2020-07-08 Metta W 2-031.2 1518 1209 73.54% 17.67% 8.79%+1.93 +9.2 15
2020-07-08 @ Riga FC L 0-231.2 1209 1518 8.79% 17.67% 73.54%-1.93 -9.1 6
2020-07-08 Valmiera L 0-145.7 1312 1250 52.06% 19.50% 28.44%+0.51 -23.8 6
2020-07-08 @ Liepaja W 1-045.7 1250 1312 28.44% 19.50% 52.06%-0.51 +23.8 8
2020-07-09 Ventspils W 1-048.8 1246 1427 21.16% 19.20% 59.64%-0.89 +27.1 9
2020-07-09 @ Jelgava L 0-148.8 1427 1246 59.64% 19.20% 21.16%+0.89 -27.1 10
2020-07-12 FK RFS L 0-134.3 1200 1528 10.37% 18.02% 71.62%-1.74 -5.7 6
2020-07-12 @ Metta W 1-034.3 1528 1200 71.62% 18.02% 10.37%+1.74 +5.7 21
2020-07-12 Riga FC L 1-530.6 1099 1527 6.22% 16.88% 76.89%-2.32 -10.2 1
2020-07-12 @ Tukums 2000 W 5-130.6 1527 1099 76.89% 16.88% 6.22%+2.32 +10.2 18
2020-07-13 Valmiera L 1-248.4 1273 1274 43.79% 19.63% 36.58%+0.15 -19.3 9
2020-07-13 @ Jelgava W 2-148.4 1274 1273 36.58% 19.63% 43.79%-0.15 +19.3 11
2020-07-13 Ventspils W 3-149.4 1303 1400 30.56% 19.55% 49.89%-0.41 +37.5 9
2020-07-13 @ Daugavpils L 1-349.4 1400 1303 49.89% 19.55% 30.56%+0.41 -37.5 10
2020-07-16 Tukums 2000 D 2-260.3 1288 1089 66.12% 18.72% 15.16%+1.30 -4.2 7
2020-07-16 @ Liepaja D 2-260.3 1089 1288 15.16% 18.72% 66.12%-1.30 +4.2 2
2020-07-17 Daugavpils W 3-039.1 1293 1341 37.09% 19.63% 43.28%-0.13 +55.6 14
2020-07-17 @ Valmiera L 0-339.1 1341 1293 43.28% 19.63% 37.09%+0.13 -55.6 9
2020-07-17 Metta D 0-051.0 1362 1194 63.43% 18.95% 17.62%+1.12 -5.6 11
2020-07-17 @ Ventspils D 0-051.0 1194 1362 17.62% 18.95% 63.43%-1.12 +5.6 7
2020-07-17 Riga FC L 1-260.2 1533 1537 43.28% 19.63% 37.09%+0.13 -19.1 21
2020-07-17 @ FK RFS W 2-160.2 1537 1533 37.09% 19.63% 43.28%-0.13 +19.1 21
2020-07-18 Jelgava W 4-141.6 1257 1254 44.19% 19.63% 36.18%+0.16 +40.5 11
2020-07-18 @ Spartaks Jurmala L 1-441.6 1254 1257 36.18% 19.63% 44.19%-0.16 -40.5 9
2020-07-21 FK RFS L 0-327.1 1093 1514 6.45% 16.97% 76.59%-2.28 -9.7 2
2020-07-21 @ Tukums 2000 W 3-027.1 1514 1093 76.59% 16.97% 6.45%+2.28 +9.7 24
2020-07-21 Valmiera D 2-260.6 1200 1349 24.44% 19.36% 56.20%-0.71 +2.5 8
2020-07-21 @ Metta D 2-260.6 1349 1200 56.20% 19.36% 24.44%+0.71 -2.5 15
2020-07-21 Ventspils W 1-040.5 1557 1357 66.14% 18.71% 15.14%+1.30 +8.2 24
2020-07-21 @ Riga FC L 0-140.5 1357 1557 15.14% 18.71% 66.14%-1.30 -8.2 11
2020-07-22 Liepaja L 1-539.0 1214 1284 33.94% 19.60% 46.45%-0.26 -49.6 9
2020-07-22 @ Jelgava W 5-139.0 1284 1214 46.45% 19.60% 33.94%+0.26 +49.6 10
2020-07-22 Spartaks Jurmala L 0-240.3 1285 1297 42.13% 19.64% 38.23%+0.08 -37.4 9
2020-07-22 @ Daugavpils W 2-040.3 1297 1285 38.23% 19.64% 42.13%-0.08 +37.4 14
2020-07-25 FK RFS W 3-263.1 1349 1524 21.68% 19.23% 59.10%-0.86 +24.0 14
2020-07-25 @ Ventspils L 2-363.1 1524 1349 59.10% 19.23% 21.68%+0.86 -24.0 24
2020-07-25 Riga FC L 0-141.3 1346 1565 17.72% 18.96% 63.33%-1.11 -9.5 15
2020-07-25 @ Valmiera W 1-041.3 1565 1346 63.33% 18.96% 17.72%+1.11 +9.5 27
2020-07-26 Daugavpils D 1-155.1 1334 1248 54.93% 19.41% 25.66%+0.65 -3.1 11
2020-07-26 @ Liepaja D 1-155.1 1248 1334 25.66% 19.41% 54.93%-0.65 +3.1 10
2020-07-26 Metta W 2-033.5 1335 1202 59.97% 19.18% 20.85%+0.91 +20.7 17
2020-07-26 @ Spartaks Jurmala L 0-233.5 1202 1335 20.85% 19.18% 59.97%-0.91 -20.7 8
2020-07-26 Tukums 2000 W 2-142.5 1164 1083 54.27% 19.43% 26.30%+0.61 +12.7 12
2020-07-26 @ Jelgava L 1-242.5 1083 1164 26.30% 19.43% 54.27%-0.61 -12.7 2
2020-07-29 Valmiera W 5-243.1 1500 1337 62.99% 18.98% 18.03%+1.09 +19.2 27
2020-07-29 @ FK RFS L 2-543.1 1337 1500 18.03% 18.98% 62.99%-1.09 -19.2 15
2020-07-30 Jelgava D 0-050.4 1251 1177 53.50% 19.46% 27.04%+0.58 -3.1 11
2020-07-30 @ Daugavpils D 0-050.4 1177 1251 27.04% 19.46% 53.50%-0.58 +3.1 13
2020-07-30 Liepaja W 2-151.9 1182 1331 24.41% 19.36% 56.24%-0.71 +24.1 11
2020-07-30 @ Metta L 1-251.9 1331 1182 56.24% 19.36% 24.41%+0.71 -24.1 11
2020-07-30 Spartaks Jurmala W 4-248.1 1574 1355 67.66% 18.56% 13.78%+1.41 +11.0 30
2020-07-30 @ Riga FC L 2-448.1 1355 1574 13.78% 18.56% 67.66%-1.41 -11.0 17
2020-07-30 Ventspils D 0-050.8 1071 1373 11.80% 18.27% 69.93%-1.59 +7.3 3
2020-07-30 @ Tukums 2000 D 0-050.8 1373 1071 69.93% 18.27% 11.80%+1.59 -7.3 15
2020-08-03 FK RFS D 1-159.6 1344 1519 21.72% 19.23% 59.05%-0.86 +4.0 18
2020-08-03 @ Spartaks Jurmala D 1-159.6 1519 1344 59.05% 19.23% 21.72%+0.86 -4.0 28
2020-08-03 Metta D 2-260.1 1180 1206 40.14% 19.64% 40.22%+0.00 +0.0 14
2020-08-03 @ Jelgava D 2-260.1 1206 1180 40.22% 19.64% 40.14%+0.00 -0.0 12
2020-08-03 Riga FC L 1-440.0 1307 1585 13.25% 18.49% 68.27%-1.46 -16.7 11
2020-08-03 @ Liepaja W 4-140.0 1585 1307 68.27% 18.49% 13.25%+1.46 +16.7 33
2020-08-03 Tukums 2000 D 1-154.5 1248 1078 63.56% 18.94% 17.50%+1.13 -5.0 12
2020-08-03 @ Daugavpils D 1-154.5 1078 1248 17.50% 18.94% 63.56%-1.13 +5.0 4
2020-08-03 Ventspils W 3-039.6 1317 1365 37.04% 19.63% 43.33%-0.13 +55.6 18
2020-08-03 @ Valmiera L 0-339.6 1365 1317 43.33% 19.63% 37.04%+0.13 -55.6 15
2020-08-07 Daugavpils L 1-442.2 1206 1243 38.60% 19.64% 41.76%-0.06 -42.7 12
2020-08-07 @ Metta W 4-142.2 1243 1206 41.76% 19.64% 38.60%+0.06 +42.7 15
2020-08-07 Jelgava W 3-028.6 1602 1180 78.79% 16.30% 4.92%+2.59 +7.4 36
2020-08-07 @ Riga FC L 0-328.6 1180 1602 4.92% 16.30% 78.79%-2.59 -7.4 14
2020-08-07 Valmiera L 2-343.7 1083 1373 12.52% 18.38% 69.09%-1.53 -6.1 4
2020-08-07 @ Tukums 2000 W 3-243.7 1373 1083 69.09% 18.38% 12.52%+1.53 +6.1 21
2020-08-08 Liepaja W 3-032.4 1515 1290 68.14% 18.50% 13.36%+1.45 +19.9 31
2020-08-08 @ FK RFS L 0-332.4 1290 1515 13.36% 18.50% 68.14%-1.45 -19.9 11
2020-08-08 Spartaks Jurmala D 1-155.6 1310 1348 38.36% 19.64% 42.00%-0.07 +0.4 16
2020-08-08 @ Ventspils D 1-155.6 1348 1310 42.00% 19.64% 38.36%+0.07 -0.4 19
2020-08-11 Riga FC L 0-138.3 1285 1609 10.57% 18.06% 71.37%-1.72 -5.8 15
2020-08-11 @ Daugavpils W 1-038.3 1609 1285 71.37% 18.06% 10.57%+1.72 +5.8 39
2020-08-11 Tukums 2000 W 2-034.5 1163 1077 54.93% 19.41% 25.67%+0.65 +24.8 15
2020-08-11 @ Metta L 0-234.5 1077 1163 25.67% 19.41% 54.93%-0.65 -24.8 4
2020-08-12 FK RFS L 0-428.1 1172 1535 8.68% 17.65% 73.67%-1.95 -17.2 14
2020-08-12 @ Jelgava W 4-028.1 1535 1172 73.67% 17.65% 8.68%+1.95 +17.2 34
2020-08-12 Valmiera L 2-354.1 1348 1379 39.39% 19.64% 40.96%-0.03 -16.8 19
2020-08-12 @ Spartaks Jurmala W 3-254.1 1379 1348 40.96% 19.64% 39.39%+0.03 +16.8 24
2020-08-12 Ventspils D 1-155.0 1270 1310 38.13% 19.64% 42.23%-0.08 +0.4 12
2020-08-12 @ Liepaja D 1-155.0 1310 1270 42.23% 19.64% 38.13%+0.08 -0.4 17
2020-08-16 Daugavpils W 2-141.7 1552 1279 71.40% 18.05% 10.54%+1.72 +5.5 37
2020-08-16 @ FK RFS L 1-241.7 1279 1552 10.54% 18.05% 71.40%-1.72 -5.5 15
2020-08-16 Jelgava W 5-029.9 1310 1155 62.16% 19.04% 18.80%+1.04 +44.0 20
2020-08-16 @ Ventspils L 0-529.9 1155 1310 18.80% 19.04% 62.16%-1.04 -44.0 14
2020-08-16 Liepaja D 1-155.8 1396 1270 59.28% 19.22% 21.50%+0.87 -4.0 25
2020-08-16 @ Valmiera D 1-155.8 1270 1396 21.50% 19.22% 59.28%-0.87 +4.0 13
2020-08-17 Spartaks Jurmala L 0-230.6 1052 1331 13.22% 18.48% 68.30%-1.46 -13.6 4
2020-08-17 @ Tukums 2000 W 2-030.6 1331 1052 68.30% 18.48% 13.22%+1.46 +13.6 22
2020-08-21 Metta W 5-132.1 1558 1188 76.60% 16.96% 6.43%+2.28 +10.6 40
2020-08-21 @ FK RFS L 1-532.1 1188 1558 6.43% 16.96% 76.60%-2.28 -10.6 15
2020-08-22 Liepaja D 2-261.0 1345 1274 53.04% 19.47% 27.49%+0.55 -2.0 23
2020-08-22 @ Spartaks Jurmala D 2-261.0 1274 1345 27.49% 19.47% 53.04%-0.55 +2.0 14
2020-08-23 Daugavpils W 2-035.8 1354 1274 54.17% 19.43% 26.39%+0.61 +25.4 23
2020-08-23 @ Ventspils L 0-235.8 1274 1354 26.39% 19.43% 54.17%-0.61 -25.4 15
2020-08-23 Jelgava W 2-029.8 1392 1111 71.90% 17.97% 10.13%+1.77 +10.5 28
2020-08-23 @ Valmiera L 0-229.8 1111 1392 10.13% 17.97% 71.90%-1.77 -10.5 14
2020-08-23 Tukums 2000 W 5-233.7 1615 1039 83.68% 14.13% 2.20%+3.48 +2.3 42
2020-08-23 @ Riga FC L 2-533.7 1039 1615 2.20% 14.13% 83.68%-3.48 -2.3 4
2020-08-26 Riga FC L 0-329.3 1177 1617 5.85% 16.73% 77.42%-2.39 -8.8 15
2020-08-26 @ Metta W 3-029.3 1617 1177 77.42% 16.73% 5.85%+2.39 +8.8 45
2020-08-29 Liepaja L 0-528.8 1036 1276 15.98% 18.80% 65.22%-1.24 -38.0 4
2020-08-29 @ Tukums 2000 W 5-028.8 1276 1036 65.22% 18.80% 15.98%+1.24 +38.0 17
2020-08-29 Spartaks Jurmala L 2-344.8 1101 1343 15.83% 18.79% 65.39%-1.25 -7.6 14
2020-08-29 @ Jelgava W 3-244.8 1343 1101 65.39% 18.79% 15.83%+1.25 +7.6 26
2020-08-30 Riga FC W 2-056.5 1568 1626 35.68% 19.62% 44.69%-0.18 +39.3 43
2020-08-30 @ FK RFS L 0-256.5 1626 1568 44.69% 19.62% 35.68%+0.18 -39.3 45
2020-08-30 Valmiera L 0-235.3 1249 1402 23.90% 19.34% 56.77%-0.74 -23.3 15
2020-08-30 @ Daugavpils W 2-035.3 1402 1249 56.77% 19.34% 23.90%+0.74 +23.3 31
2020-08-30 Ventspils L 1-240.6 1168 1379 18.40% 19.01% 62.59%-1.07 -9.2 15
2020-08-30 @ Metta W 2-140.6 1379 1168 62.59% 19.01% 18.40%+1.07 +9.2 26
2020-09-12 Daugavpils D 3-365.1 1350 1225 59.22% 19.22% 21.56%+0.87 -2.5 27
2020-09-12 @ Spartaks Jurmala D 3-365.1 1225 1350 21.56% 19.22% 59.22%-0.87 +2.5 16
2020-09-12 Jelgava W 3-136.5 1314 1093 67.85% 18.53% 13.62%+1.43 +12.1 20
2020-09-12 @ Liepaja L 1-336.5 1093 1314 13.62% 18.53% 67.85%-1.43 -12.1 14
2020-09-12 Riga FC L 0-241.6 1388 1587 19.48% 19.09% 61.43%-1.00 -19.4 26
2020-09-12 @ Ventspils W 2-041.6 1587 1388 61.43% 19.09% 19.48%+1.00 +19.5 48
2020-09-13 Metta W 1-033.1 1426 1159 71.00% 18.12% 10.88%+1.69 +6.0 34
2020-09-13 @ Valmiera L 0-133.1 1159 1426 10.88% 18.12% 71.00%-1.69 -6.0 15
2020-09-13 Tukums 2000 W 3-024.7 1608 998 84.51% 13.64% 1.85%+3.67 +2.6 46
2020-09-13 @ FK RFS L 0-324.7 998 1608 1.85% 13.64% 84.51%-3.67 -2.6 4
2020-09-16 Spartaks Jurmala W 3-253.4 1326 1348 40.81% 19.64% 39.55%+0.03 +16.9 23
2020-09-16 @ Liepaja L 2-353.4 1348 1326 39.55% 19.64% 40.81%-0.03 -16.9 27
2020-09-20 Jelgava D 0-050.1 996 1081 32.02% 19.58% 48.40%-0.34 +1.9 5
2020-09-20 @ Tukums 2000 D 0-050.1 1081 996 48.40% 19.58% 32.02%+0.34 -1.9 15
2020-09-20 Liepaja L 0-433.3 1228 1343 28.24% 19.49% 52.27%-0.52 -51.0 16
2020-09-20 @ Daugavpils W 4-033.3 1343 1228 52.27% 19.49% 28.24%+0.52 +51.1 26
2020-09-20 Spartaks Jurmala D 1-154.7 1153 1331 21.44% 19.21% 59.34%-0.88 +4.1 16
2020-09-20 @ Metta D 1-154.7 1331 1153 59.34% 19.21% 21.44%+0.88 -4.1 28
2020-09-20 Valmiera W 1-045.7 1606 1432 64.00% 18.90% 17.09%+1.16 +9.2 51
2020-09-20 @ Riga FC L 0-145.7 1432 1606 17.09% 18.90% 64.00%-1.16 -9.2 34
2020-09-20 Ventspils D 1-163.8 1610 1369 69.31% 18.36% 12.34%+1.54 -6.4 47
2020-09-20 @ FK RFS D 1-163.8 1369 1610 12.34% 18.36% 69.31%-1.54 +6.4 27
2020-09-27 Daugavpils W 2-041.9 1079 1177 30.42% 19.55% 50.04%-0.42 +43.4 18
2020-09-27 @ Jelgava L 0-241.9 1177 1079 50.04% 19.55% 30.42%+0.42 -43.4 16
2020-09-27 FK RFS D 2-271.0 1423 1604 21.09% 19.19% 59.72%-0.90 +3.1 35
2020-09-27 @ Valmiera D 2-271.0 1604 1423 59.72% 19.19% 21.09%+0.90 -3.1 48
2020-09-27 Riga FC L 1-245.9 1327 1615 12.61% 18.40% 68.99%-1.52 -6.5 28
2020-09-27 @ Spartaks Jurmala W 2-145.9 1615 1327 68.99% 18.40% 12.61%+1.52 +6.5 54
2020-09-27 Tukums 2000 W 2-028.0 1375 997 76.95% 16.87% 6.18%+2.33 +6.4 30
2020-09-27 @ Ventspils L 0-228.0 997 1375 6.18% 16.87% 76.95%-2.33 -6.4 5
2020-09-28 Metta W 3-029.0 1394 1157 69.00% 18.40% 12.60%+1.52 +18.9 29
2020-09-28 @ Liepaja L 0-329.0 1157 1394 12.60% 18.40% 69.00%-1.52 -18.9 16
2020-10-03 Spartaks Jurmala W 2-144.3 1601 1320 71.88% 17.98% 10.15%+1.77 +5.3 51
2020-10-03 @ FK RFS L 1-244.3 1320 1601 10.15% 17.98% 71.88%-1.77 -5.3 28
2020-10-03 Valmiera D 1-158.0 1382 1426 37.59% 19.64% 42.77%-0.10 +0.5 31
2020-10-03 @ Ventspils D 1-158.0 1426 1382 42.77% 19.64% 37.59%+0.10 -0.5 36
2020-10-04 Daugavpils W 2-151.2 991 1133 25.15% 19.39% 55.46%-0.67 +23.8 8
2020-10-04 @ Tukums 2000 L 1-251.2 1133 991 55.46% 19.39% 25.15%+0.67 -23.8 16
2020-10-04 Liepaja W 2-150.0 1622 1413 66.87% 18.64% 14.49%+1.35 +7.4 57
2020-10-04 @ Riga FC L 1-250.0 1413 1622 14.49% 18.64% 66.87%-1.35 -7.4 29
2020-10-04 Metta W 1-041.1 1122 1138 41.57% 19.64% 38.79%+0.06 +18.6 21
2020-10-04 @ Jelgava L 0-141.1 1138 1122 38.79% 19.64% 41.57%-0.06 -18.6 16
2020-10-17 Metta W 1-040.9 1110 1120 42.39% 19.64% 37.97%+0.09 +18.2 19
2020-10-17 @ Daugavpils L 0-140.9 1120 1110 37.97% 19.64% 42.39%-0.09 -18.2 16
2020-10-17 Riga FC L 0-230.2 1141 1629 4.55% 16.10% 79.34%-2.67 -4.7 21
2020-10-17 @ Jelgava W 2-030.2 1629 1141 79.34% 16.10% 4.55%+2.67 +4.7 60
2020-10-17 Tukums 2000 W 5-025.0 1425 1015 78.32% 16.45% 5.23%+2.52 +12.6 39
2020-10-17 @ Valmiera L 0-525.0 1015 1425 5.23% 16.45% 78.32%-2.52 -12.7 8
2020-10-17 Ventspils L 1-246.8 1315 1382 34.42% 19.61% 45.97%-0.24 -15.9 28
2020-10-17 @ Spartaks Jurmala W 2-146.8 1382 1315 45.97% 19.61% 34.42%+0.24 +15.9 34
2020-10-25 Daugavpils W 2-029.3 1634 1128 81.68% 15.14% 3.17%+3.07 +3.2 63
2020-10-25 @ Riga FC L 0-229.3 1128 1634 3.17% 15.14% 81.68%-3.07 -3.2 19
2020-10-25 Jelgava W 1-031.9 1606 1136 80.51% 15.65% 3.84%+2.86 +2.1 54
2020-10-25 @ FK RFS L 0-131.9 1136 1606 3.84% 15.65% 80.51%-2.86 -2.1 21
2020-10-25 Liepaja L 0-243.4 1398 1406 42.75% 19.64% 37.62%+0.10 -37.9 34
2020-10-25 @ Ventspils W 2-043.4 1406 1398 37.62% 19.64% 42.75%-0.10 +37.9 32
2020-10-25 Metta W 3-147.6 1002 1102 30.22% 19.54% 50.24%-0.42 +37.7 11
2020-10-25 @ Tukums 2000 L 1-347.6 1102 1002 50.24% 19.54% 30.22%+0.42 -37.7 16
2020-10-25 Spartaks Jurmala L 0-149.9 1438 1299 60.60% 19.14% 20.26%+0.95 -27.5 39
2020-10-25 @ Valmiera W 1-049.9 1299 1438 20.26% 19.14% 60.60%-0.95 +27.5 31
2020-11-01 FK RFS L 1-237.4 1125 1608 4.67% 16.17% 79.16%-2.64 -2.4 19
2020-11-01 @ Daugavpils W 2-137.4 1608 1125 79.16% 16.17% 4.67%+2.64 +2.4 57
2020-11-01 Riga FC L 1-529.8 1064 1637 2.93% 14.92% 82.15%-3.16 -4.7 16
2020-11-01 @ Metta W 5-129.8 1637 1064 82.15% 14.92% 2.93%+3.16 +4.7 66
2020-11-01 Tukums 2000 L 2-458.2 1327 1040 72.26% 17.91% 9.83%+1.80 -47.9 31
2020-11-01 @ Spartaks Jurmala W 4-258.2 1040 1327 9.83% 17.91% 72.26%-1.80 +47.9 14
2020-11-01 Ventspils L 0-529.5 1134 1360 17.10% 18.91% 64.00%-1.16 -40.4 21
2020-11-01 @ Jelgava W 5-029.5 1360 1134 64.00% 18.91% 17.10%+1.16 +40.4 37
2020-11-04 Spartaks Jurmala L 0-150.4 1444 1279 63.12% 18.97% 17.91%+1.10 -28.6 32
2020-11-04 @ Liepaja W 1-050.4 1279 1444 17.91% 18.97% 63.12%-1.10 +28.6 34
2020-11-04 Ventspils D 0-050.9 1122 1401 13.26% 18.49% 68.26%-1.46 +6.8 20
2020-11-04 @ Daugavpils D 0-050.9 1401 1122 68.26% 18.49% 13.26%+1.46 -6.8 38
2020-11-07 FK RFS L 0-326.1 1059 1611 3.28% 15.23% 81.48%-3.03 -4.8 16
2020-11-07 @ Metta W 3-026.1 1611 1059 81.48% 15.23% 3.28%+3.03 +4.8 60
2020-11-07 Riga FC L 0-228.8 1088 1642 3.24% 15.19% 81.57%-3.05 -3.3 14
2020-11-07 @ Tukums 2000 W 2-028.8 1642 1088 81.57% 15.19% 3.24%+3.05 +3.3 69
2020-11-20 FK RFS W 1-058.9 1415 1616 19.31% 19.08% 61.61%-1.01 +28.0 35
2020-11-20 @ Liepaja L 0-158.9 1616 1415 61.61% 19.08% 19.31%+1.01 -28.0 60
2020-11-20 Valmiera D 2-260.8 1094 1410 10.97% 18.13% 70.90%-1.68 +5.0 22
2020-11-20 @ Jelgava D 2-260.8 1410 1094 70.90% 18.13% 10.97%+1.68 -5.0 40
2020-11-23 Valmiera D 1-159.1 1443 1405 48.94% 19.57% 31.49%+0.37 -1.8 36
2020-11-23 @ Liepaja D 1-159.1 1405 1443 31.49% 19.57% 48.94%-0.37 +1.8 41
2020-11-26 Daugavpils W 3-028.1 1407 1129 71.72% 18.00% 10.28%+1.75 +15.5 44
2020-11-26 @ Valmiera L 0-328.1 1129 1407 10.28% 18.00% 71.72%-1.75 -15.5 20
2020-11-26 Jelgava W 7-029.2 1308 1099 66.87% 18.64% 14.49%+1.35 +47.6 37
2020-11-26 @ Spartaks Jurmala L 0-729.2 1099 1308 14.49% 18.64% 66.87%-1.35 -47.7 22
2020-11-26 Metta W 1-031.3 1394 1054 75.14% 17.33% 7.53%+2.11 +4.2 41
2020-11-26 @ Ventspils L 0-131.3 1054 1394 7.53% 17.33% 75.14%-2.11 -4.2 16
2020-11-26 Riga FC W 3-055.4 1588 1645 35.69% 19.62% 44.69%-0.18 +57.1 63
2020-11-26 @ FK RFS L 0-355.4 1645 1588 44.69% 19.62% 35.69%+0.18 -57.1 69
2020-11-26 Tukums 2000 W 5-026.0 1441 1084 75.99% 17.12% 6.89%+2.21 +16.8 39
2020-11-26 @ Liepaja L 0-526.0 1084 1441 6.89% 17.12% 75.99%-2.21 -16.8 14
2020-11-29 FK RFS L 0-228.3 1068 1645 2.87% 14.87% 82.26%-3.18 -2.9 14
2020-11-29 @ Tukums 2000 W 2-028.3 1645 1068 82.26% 14.87% 2.87%+3.18 +2.9 66
2020-11-29 Liepaja L 0-726.8 1051 1458 6.94% 17.14% 75.92%-2.20 -23.2 22
2020-11-29 @ Jelgava W 7-026.8 1458 1051 75.92% 17.14% 6.94%+2.20 +23.2 42
2020-11-29 Spartaks Jurmala L 1-337.4 1114 1355 15.86% 18.79% 65.35%-1.25 -14.0 20
2020-11-29 @ Daugavpils W 3-137.4 1355 1114 65.35% 18.79% 15.86%+1.25 +14.0 40
2020-11-29 Valmiera L 1-236.9 1050 1423 8.28% 17.54% 74.18%-2.00 -4.3 16
2020-11-29 @ Metta W 2-136.9 1423 1050 74.18% 17.54% 8.28%+2.00 +4.3 47
2020-11-29 Ventspils L 0-353.8 1588 1398 65.36% 18.79% 15.86%+1.25 -81.2 69
2020-11-29 @ Riga FC W 3-053.8 1398 1588 15.86% 18.79% 65.36%-1.25 +81.2 44

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 2020-11-01 9.83% Tukums 2000 1040 4 @ Spartaks Jurmala 1327 2
2 2020-11-29 15.86% Ventspils 1398 3 @ Riga FC 1588 0
3 2020-11-04 17.91% Spartaks Jurmala 1279 1 @ Liepaja 1444 0
4 2020-11-20 19.31% @ Liepaja 1415 1 FK RFS 1616 0
5 2020-06-21 20.13% @ Spartaks Jurmala 1283 2 Riga FC 1474 1
6 2020-10-25 20.26% Spartaks Jurmala 1299 1 @ Valmiera 1438 0
7 2020-07-09 21.16% @ Jelgava 1246 1 Ventspils 1427 0
8 2020-07-25 21.68% @ Ventspils 1349 3 FK RFS 1524 2
9 2020-06-25 22.46% Daugavpils 1171 6 @ Tukums 2000 1287 0
10 2020-07-30 24.41% @ Metta 1182 2 Liepaja 1331 1
11 2020-10-04 25.15% @ Tukums 2000 991 2 Daugavpils 1133 1
12 2020-06-16 25.69% Jelgava 1271 2 @ Tukums 2000 1357 1
13 2020-06-25 26.22% @ Metta 1173 1 Jelgava 1306 0
14 2020-07-08 28.44% Valmiera 1250 1 @ Liepaja 1312 0
15 2020-10-25 30.22% @ Tukums 2000 1002 3 Metta 1102 1
16 2020-09-27 30.42% @ Jelgava 1079 2 Daugavpils 1177 0
17 2020-07-13 30.56% @ Daugavpils 1303 3 Ventspils 1400 1
18 2020-08-30 35.68% @ FK RFS 1568 2 Riga FC 1626 0
19 2020-11-26 35.69% @ FK RFS 1588 3 Riga FC 1645 0
20 2020-07-13 36.58% Valmiera 1274 2 @ Jelgava 1273 1
21 2020-08-03 37.04% @ Valmiera 1317 3 Ventspils 1365 0
22 2020-07-17 37.09% @ Valmiera 1293 3 Daugavpils 1341 0
23 2020-07-17 37.09% Riga FC 1537 2 @ FK RFS 1533 1
24 2020-10-25 37.62% Liepaja 1406 2 @ Ventspils 1398 0
25 2020-07-22 38.23% Spartaks Jurmala 1297 2 @ Daugavpils 1285 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 2020-06-25 138.70 Daugavpils 6 1171 22.46% @ Tukums 2000 0 1287 58.27% 19.27%
2 2020-11-29 81.17 Ventspils 3 1398 15.86% @ Riga FC 0 1588 65.36% 18.79%
3 2020-11-26 57.08 @ FK RFS 3 1588 35.69% Riga FC 0 1645 44.69% 19.62%
4 2020-08-03 55.62 @ Valmiera 3 1317 37.04% Ventspils 0 1365 43.33% 19.63%
5 2020-07-17 55.57 @ Valmiera 3 1293 37.09% Daugavpils 0 1341 43.28% 19.63%
6 2020-09-20 51.05 Liepaja 4 1343 52.27% @ Daugavpils 0 1228 28.24% 19.49%
7 2020-07-22 49.62 Liepaja 5 1284 46.45% @ Jelgava 1 1214 33.94% 19.60%
8 2020-11-01 47.86 Tukums 2000 4 1040 9.83% @ Spartaks Jurmala 2 1327 72.26% 17.91%
9 2020-11-26 47.65 @ Spartaks Jurmala 7 1308 66.87% Jelgava 0 1099 14.49% 18.64%
10 2020-06-20 46.16 @ Ventspils 3 1348 45.93% Tukums 2000 0 1333 34.46% 19.61%
11 2020-06-20 44.20 FK RFS 4 1419 56.78% @ Valmiera 0 1265 23.88% 19.34%
12 2020-08-16 44.04 @ Ventspils 5 1310 62.16% Jelgava 0 1155 18.80% 19.04%
13 2020-09-27 43.36 @ Jelgava 2 1079 30.42% Daugavpils 0 1177 50.04% 19.55%
14 2020-08-07 42.69 Daugavpils 4 1243 41.76% @ Metta 1 1206 38.60% 19.64%
15 2020-07-18 40.51 @ Spartaks Jurmala 4 1257 44.19% Jelgava 1 1254 36.18% 19.63%
16 2020-11-01 40.40 Ventspils 5 1360 64.00% @ Jelgava 0 1134 17.10% 18.91%
17 2020-08-30 39.31 @ FK RFS 2 1568 35.68% Riga FC 0 1626 44.69% 19.62%
18 2020-08-29 37.97 Liepaja 5 1276 65.22% @ Tukums 2000 0 1036 15.98% 18.80%
19 2020-10-25 37.87 Liepaja 2 1406 37.62% @ Ventspils 0 1398 42.75% 19.64%
20 2020-10-25 37.69 @ Tukums 2000 3 1002 30.22% Metta 1 1102 50.24% 19.54%
21 2020-07-13 37.46 @ Daugavpils 3 1303 30.56% Ventspils 1 1400 49.89% 19.55%
22 2020-07-22 37.42 Spartaks Jurmala 2 1297 38.23% @ Daugavpils 0 1285 42.13% 19.64%
23 2020-06-30 28.92 Riga FC 3 1474 60.88% @ Jelgava 0 1281 20.00% 19.13%
24 2020-11-04 28.63 Spartaks Jurmala 1 1279 17.91% @ Liepaja 0 1444 63.12% 18.97%
25 2020-07-03 28.27 Metta 3 1181 44.77% @ Tukums 2000 1 1122 35.60% 19.62%

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 2020-09-27 71.0 @ Valmiera 2 1423 21.09% FK RFS 2 1604 59.72% 19.19%
2 2020-09-12 65.1 @ Spartaks Jurmala 3 1350 59.22% Daugavpils 3 1225 21.56% 19.22%
3 2020-09-20 63.8 @ FK RFS 1 1610 69.31% Ventspils 1 1369 12.34% 18.36%
4 2020-07-25 63.1 @ Ventspils 3 1349 21.68% FK RFS 2 1524 59.10% 19.23%
5 2020-06-25 61.2 @ Ventspils 2 1394 63.92% Valmiera 2 1221 17.17% 18.91%
6 2020-08-22 61.0 @ Spartaks Jurmala 2 1345 53.04% Liepaja 2 1274 27.49% 19.47%
7 2020-11-20 60.8 @ Jelgava 2 1094 10.97% Valmiera 2 1410 70.90% 18.13%
8 2020-07-21 60.6 @ Metta 2 1200 24.44% Valmiera 2 1349 56.20% 19.36%
9 2020-07-03 60.4 @ Valmiera 2 1250 42.27% Spartaks Jurmala 2 1261 38.09% 19.64%
10 2020-07-16 60.3 @ Liepaja 2 1288 66.12% Tukums 2000 2 1089 15.16% 18.72%
11 2020-07-17 60.2 Riga FC 2 1537 37.09% @ FK RFS 1 1533 43.28% 19.63%
12 2020-08-03 60.1 @ Jelgava 2 1180 40.14% Metta 2 1206 40.22% 19.64%
13 2020-08-03 59.6 @ Spartaks Jurmala 1 1344 21.72% FK RFS 1 1519 59.05% 19.23%
14 2020-11-23 59.1 @ Liepaja 1 1443 48.94% Valmiera 1 1405 31.49% 19.57%
15 2020-11-20 58.9 @ Liepaja 1 1415 19.31% FK RFS 0 1616 61.61% 19.08%
16 2020-11-01 58.2 Tukums 2000 4 1040 9.83% @ Spartaks Jurmala 2 1327 72.26% 17.91%
17 2020-10-03 58.0 @ Ventspils 1 1382 37.59% Valmiera 1 1426 42.77% 19.64%
18 2020-08-30 56.5 @ FK RFS 2 1568 35.68% Riga FC 0 1626 44.69% 19.62%
19 2020-08-16 55.8 @ Valmiera 1 1396 59.28% Liepaja 1 1270 21.50% 19.22%
20 2020-08-08 55.6 @ Ventspils 1 1310 38.36% Spartaks Jurmala 1 1348 42.00% 19.64%
21 2020-06-21 55.5 @ Spartaks Jurmala 2 1283 20.13% Riga FC 1 1474 60.73% 19.13%
22 2020-11-26 55.4 @ FK RFS 3 1588 35.69% Riga FC 0 1645 44.69% 19.62%
23 2020-07-26 55.1 @ Liepaja 1 1334 54.93% Daugavpils 1 1248 25.66% 19.41%
24 2020-08-12 55.0 @ Liepaja 1 1270 38.13% Ventspils 1 1310 42.23% 19.64%
25 2020-09-20 54.7 @ Metta 1 1153 21.44% Spartaks Jurmala 1 1331 59.34% 19.21%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2020-09-13 24.7 @ FK RFS 3 1608 84.51% Tukums 2000 0 998 1.85% 13.64%
2 2020-10-17 25.0 @ Valmiera 5 1425 78.32% Tukums 2000 0 1015 5.23% 16.45%
3 2020-11-26 26.0 @ Liepaja 5 1441 75.99% Tukums 2000 0 1084 6.89% 17.12%
4 2020-11-07 26.1 FK RFS 3 1611 81.48% @ Metta 0 1059 3.28% 15.23%
5 2020-11-29 26.8 Liepaja 7 1458 75.92% @ Jelgava 0 1051 6.94% 17.14%
6 2020-07-21 27.1 FK RFS 3 1514 76.59% @ Tukums 2000 0 1093 6.45% 16.97%
7 2020-09-27 28.0 @ Ventspils 2 1375 76.95% Tukums 2000 0 997 6.18% 16.87%
8 2020-08-12 28.1 FK RFS 4 1535 73.67% @ Jelgava 0 1172 8.68% 17.65%
9 2020-11-26 28.1 @ Valmiera 3 1407 71.72% Daugavpils 0 1129 10.28% 18.00%
10 2020-11-29 28.3 FK RFS 2 1645 82.26% @ Tukums 2000 0 1068 2.87% 14.87%
11 2020-08-07 28.6 @ Riga FC 3 1602 78.79% Jelgava 0 1180 4.92% 16.30%
12 2020-08-29 28.8 Liepaja 5 1276 65.22% @ Tukums 2000 0 1036 15.98% 18.80%
13 2020-11-07 28.8 Riga FC 2 1642 81.57% @ Tukums 2000 0 1088 3.24% 15.19%
14 2020-09-28 29.0 @ Liepaja 3 1394 69.00% Metta 0 1157 12.60% 18.40%
15 2020-11-26 29.2 @ Spartaks Jurmala 7 1308 66.87% Jelgava 0 1099 14.49% 18.64%
16 2020-08-26 29.3 Riga FC 3 1617 77.42% @ Metta 0 1177 5.85% 16.73%
17 2020-10-25 29.3 @ Riga FC 2 1634 81.68% Daugavpils 0 1128 3.17% 15.14%
18 2020-11-01 29.5 Ventspils 5 1360 64.00% @ Jelgava 0 1134 17.10% 18.91%
19 2020-08-23 29.8 @ Valmiera 2 1392 71.90% Jelgava 0 1111 10.13% 17.97%
20 2020-11-01 29.8 Riga FC 5 1637 82.15% @ Metta 1 1064 2.93% 14.92%
21 2020-08-16 29.9 @ Ventspils 5 1310 62.16% Jelgava 0 1155 18.80% 19.04%
22 2020-10-17 30.2 Riga FC 2 1629 79.34% @ Jelgava 0 1141 4.55% 16.10%
23 2020-07-12 30.6 Riga FC 5 1527 76.89% @ Tukums 2000 1 1099 6.22% 16.88%
24 2020-08-17 30.6 Spartaks Jurmala 2 1331 68.30% @ Tukums 2000 0 1052 13.22% 18.48%
25 2020-07-08 31.2 @ Riga FC 2 1518 73.54% Metta 0 1209 8.79% 17.67%