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2021 Virsliga Season

112 games

Final

Champion

FK RFS

66 points

Relegated

No relegation

Biggest Overachiever

Valmiera

9.18 points above expected

62 points · 52.82 expected points

Biggest Disappointment

Noah Jurmala

7.82 points below expected

3 points · 10.82 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 FK RFS 28 20 6 2 66 59 22 +37 64.03 +1.97
2 Valmiera 28 19 5 4 62 45 19 +26 52.82 +9.18
3 Liepaja 28 16 3 9 51 38 26 +12 48.26 +2.74
4 Riga FC 28 14 8 6 50 51 26 +25 53.93 -3.93
5 Spartaks Jurmala 28 11 2 15 35 34 41 -7 37.00 -2.00
6 Daugavpils 28 9 5 14 32 31 53 -22 28.93 +3.07
7 Metta 28 5 5 18 20 27 55 -28 22.59 -2.59
8 Noah Jurmala 28 1 0 27 3 8 51 -43 10.82 -7.82

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 Valmiera 62 52.82 +9.18
2 Daugavpils 32 28.93 +3.07
3 Liepaja 51 48.26 +2.74
4 FK RFS 66 64.03 +1.97
5 Spartaks Jurmala 35 37.00 -2.00

Biggest Disappointments

# Team Actual Sim vsSim
1 Noah Jurmala 3 10.82 -7.82
2 Riga FC 50 53.93 -3.93
3 Metta 20 22.59 -2.59
4 Spartaks Jurmala 35 37.00 -2.00
5 FK RFS 66 64.03 +1.97

Top Streaks

Ranked by model unlikelihood — the product of pregame W/D/L probabilities over the games in each team's streak. A short streak by a poor team can outrank a longer one by a strong team since the poor team's per-game probabilities were lower going in. Unbeaten counts consecutive wins or ties; Winless counts consecutive losses or ties.

Most Unlikely Winning Streaks

# Team Games Dates Probability
1 FK RFS 9 Apr 25 – Jun 21 1 in 35
2 Valmiera 4 Jun 25 – Jul 31 1 in 18
3 Liepaja 4 Jun 26 – Aug 4 1 in 17
4 Daugavpils 3 Jul 9 – Jul 24 1 in 6
5 Spartaks Jurmala 3 Jun 17 – Jul 4 1 in 5

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Noah Jurmala 24 May 20 – Oct 31 1 in 8,093
2 Spartaks Jurmala 4 May 5 – May 18 1 in 45
3 Liepaja 3 Mar 19 – Apr 10 1 in 12
4 Riga FC 2 Apr 25 – Apr 30 1 in 6
5 FK RFS 1 Mar 14 – Mar 14 1 in 5

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Metta 3 Apr 10 – Apr 24 1 in 68
2 Spartaks Jurmala 4 Sep 11 – Oct 16 1 in 16
3 Valmiera 10 Aug 11 – Nov 6 1 in 13
4 Liepaja 7 May 29 – Aug 4 1 in 10
5 FK RFS 14 Jul 25 – Nov 6 1 in 6

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Riga FC 8 Sep 25 – Nov 6 1 in 322
2 Noah Jurmala 24 May 20 – Oct 31 1 in 43
3 FK RFS 3 Sep 29 – Oct 16 1 in 20
4 Spartaks Jurmala 4 May 5 – May 18 1 in 9
5 Liepaja 3 Mar 19 – Apr 10 1 in 4

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
FK RFS 1608 60 +8 11 12.1 -1.1
Valmiera 1500 53 +31 11 9.7 +1.3
Riga FC 1413 47 -65 4 7.6 -3.6
Liepaja 1441 42 +30 10 7.0 +3.0
Spartaks Jurmala 1276 29 -17 5 5.4 -0.4
Daugavpils 1184 26 +44 4 3.4 +0.6
Metta 1084 14 -5 2 2.8 -0.8
Noah Jurmala 956 3 -113 0 3.4 -3.4

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 LIE MET NJ RIG SJ VAL
Daugavpils —
0-0-4
1.44
0-2-2
2.99
3-1-0
6.64
3-0-1
7.64
1-1-2
1.93
2-0-2
3.79
0-1-3
2.44
FK RFS
4-0-0
9.93
—
3-1-0
8.19
3-1-0
10.27
4-0-0
10.46
2-2-0
7.35
3-1-0
9.31
1-1-2
8.03
Liepaja
2-2-0
8.30
0-1-3
3.09
—
4-0-0
9.14
4-0-0
9.72
2-0-2
4.57
3-0-1
7.45
1-0-3
4.78
Metta
0-1-3
4.62
0-1-3
1.14
0-0-4
2.18
—
4-0-0
6.45
0-2-2
1.56
1-0-3
2.95
0-1-3
1.82
Noah Jurmala
1-0-3
3.64
0-0-4
0.99
0-0-4
1.65
0-0-4
4.81
—
0-0-4
1.50
0-0-4
3.27
0-0-4
1.43
Riga FC
2-1-1
9.40
0-2-2
3.92
2-0-2
6.70
2-2-0
9.80
4-0-0
9.88
—
3-1-0
8.02
1-2-1
5.30
Spartaks Jurmala
2-0-2
7.48
0-1-3
2.02
1-0-3
3.82
3-0-1
8.34
4-0-0
8.03
0-1-3
3.26
—
1-0-3
3.21
Valmiera
3-1-0
8.86
2-1-1
3.25
3-0-1
6.48
3-1-0
9.52
4-0-0
9.96
1-2-1
5.96
3-0-1
8.07
—

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 0.89 +12.9
Allowed 0.81 -12.9
Differential 0.94 +7.2

Scoreline Distribution

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

↓ Scored | Allowed →012345+Total
02.68%7.59%4.02%5.36%1.79%2.23%23.66%
17.59%9.82%7.14%1.34%2.23%1.34%29.46%
24.02%7.14%1.79%1.34%0.45%0.89%15.62%
35.36%1.34%1.34%0.89%——8.93%
41.79%2.23%0.45%———4.46%
5+2.23%1.34%0.89%——13.39%17.86%
Total23.66%29.46%15.62%8.93%4.46%17.86%100%

Summary Statistics

Scored Allowed Difference
Mean 1.17 1.17 +0.00
SD 1.64 1.64 2.27
CV 1.40 1.40 —
Max 7 7 +7
Min -1 -1 -7

Games Played: 112

↓ Scored | Allowed →012345+Total
03.57%3.57%10.71%7.14%7.14%—32.14%
13.57%7.14%10.71%3.57%—7.14%32.14%
2—3.57%7.14%———10.71%
37.14%3.57%3.57%———14.29%
4—3.57%————3.57%
5+—————7.14%7.14%
Total14.29%21.43%32.14%10.71%7.14%14.29%100%

Summary Statistics

Scored Allowed Difference
Mean 1.04 1.82 -0.79
SD 1.29 1.76 2.27
CV 1.25 0.97 —
Max 4 7 +3
Min -1 -1 -6

Games Played: 28

↓ Scored | Allowed →012345+Total
03.57%—————3.57%
110.71%14.29%3.57%———28.57%
27.14%14.29%—3.57%——25.00%
310.71%3.57%—3.57%——17.86%
43.57%3.57%3.57%———10.71%
5+3.57%—3.57%——7.14%14.29%
Total39.29%35.71%10.71%7.14%—7.14%100%

Summary Statistics

Scored Allowed Difference
Mean 2.04 0.71 +1.32
SD 1.55 1.01 1.52
CV 0.76 1.42 —
Max 5 3 +5
Min -1 -1 -1

Games Played: 28

↓ Scored | Allowed →012345+Total
03.57%7.14%3.57%—3.57%—17.86%
114.29%7.14%14.29%—3.57%—39.29%
23.57%7.14%————10.71%
310.71%3.57%————14.29%
4—3.57%————3.57%
5+3.57%————10.71%14.29%
Total35.71%28.57%17.86%—7.14%10.71%100%

Summary Statistics

Scored Allowed Difference
Mean 1.25 0.82 +0.43
SD 1.48 1.28 1.97
CV 1.19 1.56 —
Max 5 4 +5
Min -1 -1 -4

Games Played: 28

↓ Scored | Allowed →012345+Total
0—17.86%7.14%17.86%3.57%—46.43%
1—10.71%—3.57%7.14%—21.43%
23.57%—3.57%3.57%—3.57%14.29%
33.57%——3.57%——7.14%
4———————
5+3.57%————7.14%10.71%
Total10.71%28.57%10.71%28.57%10.71%10.71%100%

Summary Statistics

Scored Allowed Difference
Mean 0.89 1.89 -1.00
SD 1.59 1.57 2.28
CV 1.79 0.83 —
Max 7 5 +7
Min -1 -1 -4

Games Played: 28

↓ Scored | Allowed →012345+Total
0—3.57%3.57%3.57%—17.86%28.57%
1——3.57%—3.57%—7.14%
2—3.57%——3.57%3.57%10.71%
3———————
4———————
5+—————53.57%53.57%
Total—7.14%7.14%3.57%7.14%75.00%100%

Summary Statistics

Scored Allowed Difference
Mean -0.25 1.29 -1.54
SD 1.00 2.84 2.32
CV -4.02 2.21 —
Max 2 7 +1
Min -1 -1 -7

Games Played: 28

↓ Scored | Allowed →012345+Total
07.14%7.14%—7.14%——21.43%
110.71%21.43%3.57%3.57%——39.29%
23.57%7.14%————10.71%
33.57%—3.57%———7.14%
43.57%3.57%————7.14%
5+3.57%7.14%———3.57%14.29%
Total32.14%46.43%7.14%10.71%—3.57%100%

Summary Statistics

Scored Allowed Difference
Mean 1.79 0.89 +0.89
SD 2.10 0.99 2.41
CV 1.17 1.11 —
Max 7 3 +7
Min -1 -1 -3

Games Played: 28

↓ Scored | Allowed →012345+Total
0—10.71%7.14%7.14%——25.00%
110.71%7.14%17.86%—3.57%3.57%42.86%
23.57%3.57%—3.57%——10.71%
37.14%—————7.14%
4———————
5+3.57%—3.57%——7.14%14.29%
Total25.00%21.43%28.57%10.71%3.57%10.71%100%

Summary Statistics

Scored Allowed Difference
Mean 1.14 1.39 -0.25
SD 1.46 1.55 2.17
CV 1.28 1.11 —
Max 5 6 +5
Min -1 -1 -5

Games Played: 28

↓ Scored | Allowed →012345+Total
03.57%10.71%————14.29%
110.71%10.71%3.57%———25.00%
210.71%17.86%3.57%———32.14%
3——3.57%———3.57%
47.14%3.57%————10.71%
5+—3.57%———10.71%14.29%
Total32.14%46.43%10.71%——10.71%100%

Summary Statistics

Scored Allowed Difference
Mean 1.50 0.57 +0.93
SD 1.55 0.84 1.46
CV 1.03 1.46 —
Max 5 2 +4
Min -1 -1 -1

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
FK RFS 1608 66 64.03 +1.97 67.0% 51 55 61 64 67 72 80
Valmiera 1500 62 52.82 +9.18 98.0% 39 43 49 53 57 61 66
Liepaja 1441 51 48.26 +2.74 73.0% 27 38 44 48 52 57 62
Riga FC 1413 50 53.93 -3.93 25.0% 40 43 50 55 57 62 68
Spartaks Jurmala 1276 35 37.00 -2.00 42.0% 23 27 32 37 41 46 52
Daugavpils 1184 32 28.93 +3.07 71.0% 19 20 25 28 33 37 43
Metta 1084 20 22.59 -2.59 35.0% 10 15 19 22 26 30 34
Noah Jurmala 956 3 10.82 -7.82 2.0% 2 4 8 11 13 17 20

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
+6.25%
Clear Edge
45.54%15.18%39.29%
Elo Value
Home Edge: 31.10 Elo pts.
265 Elo
0.004 goals per Elo point
0800
Scoring Tilt
Expected
+0.19 goals
Neutral
-2+0.12+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
1.5
One-Team Race
12348
Champion Preseason Odds
81%
FK RFS, 1st of 8
LongshotFavorite
Title Margin
Expected
0.14/gm
Tight Race
00.290.5/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 4.32 * Some Luck: 4.32 to 6.47 * Lucky: 6.47 to 8.63 * Wild Swing: 8.63 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 0.33 * Close: 0.33 to 0.5 * Off: 0.5 to 0.66 * Way Off: 0.66 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
4.90 points
Some Luck
05.4013
Average Finish Error
Expected
0.50
Off
00.411
Biggest Overachiever
Expected 93.75%
98.00%
Valmiera
50100
Biggest Underachiever
Expected
2.00%
Noah Jurmala
06.25%50
Season Outliers
Expected
2 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
0.28
Lopsided
00.240.5
Noll-Scully
Elo SD: 222.28
2.92
Strong Separation
12.552.953.5
Interquartile Edge
85%
Slight Edge
50%82%100%
Best vs. Worst
Baseline 98%
98%
Clear Edge
50%100%
Close Games
Expected
61%
Very Frequent
0%49%100%
Blowouts
Expected
28%
Frequent
0%27%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
0.44
Highly Predictable
00.492
Matchup Imbalance
0.57
Notable Separation
00.5
Strangeness
Expected
1.01
As Expected
01.002
Repeatability
0.83
Near-Lock
00.620.761
Upset Rate
Expected
15%
As Expected
0%18%50%
Clear Favorite Upset Rate
Expected
12%
Solid Favorites
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
0.69
Excellent
0.010.050.10.51
Calibration slope
Ideal
1.37
Very Underconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.090
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).

Team12345678
FK RFS81.00%15.00%4.00%—————
Valmiera9.00%29.00%34.00%25.00%3.00%———
Liepaja2.00%14.00%24.00%52.00%8.00%———
Riga FC8.00%41.00%37.00%11.00%3.00%———
Spartaks Jurmala—1.00%1.00%12.00%63.00%23.00%——
Daugavpils————18.00%61.00%21.00%—
Metta————5.00%16.00%75.00%4.00%
Noah Jurmala——————4.00%96.00%

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
Daugavpils 100% —
FK RFS 100% —
Liepaja 100% —
Riga FC 100% —
Spartaks Jurmala 100% —
Valmiera 100% —
Metta 96.00% 4.00%
Noah Jurmala 4.00% 96.00%

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
2021-03-13 Metta W 4-132.8 1397 1088 75.06% 16.32% 8.62%+1.28 +8.2 3
2021-03-13 @ Liepaja L 1-432.8 1088 1397 8.62% 16.32% 75.06%-1.28 -8.2 0
2021-03-13 Spartaks Jurmala W 2-152.4 1132 1313 22.58% 18.16% 59.26%-0.57 +19.3 3
2021-03-13 @ Daugavpils L 1-252.4 1313 1132 59.26% 18.16% 22.58%+0.57 -19.3 0
2021-03-14 Valmiera L 2-363.6 1505 1353 63.56% 17.87% 18.56%+0.69 -19.6 0
2021-03-14 @ FK RFS W 3-263.6 1353 1505 18.56% 17.87% 63.56%-0.69 +19.6 3
2021-03-19 Daugavpils D 2-261.0 1373 1151 69.45% 17.27% 13.27%+0.96 -3.6 4
2021-03-19 @ Valmiera D 2-261.0 1151 1373 13.27% 17.27% 69.45%-0.96 +3.6 4
2021-03-19 Riga FC L 0-244.7 1405 1401 46.38% 18.56% 35.07%+0.13 -30.8 3
2021-03-19 @ Liepaja W 2-044.7 1401 1405 35.07% 18.56% 46.38%-0.13 +30.9 3
2021-03-20 Metta W 1-033.3 1293 1080 68.79% 17.36% 13.86%+0.92 +5.6 3
2021-03-20 @ Spartaks Jurmala L 0-133.3 1080 1293 13.86% 17.36% 68.79%-0.92 -5.6 0
2021-04-03 Metta W 3-247.3 1154 1075 55.96% 18.31% 25.73%+0.42 +8.9 7
2021-04-03 @ Daugavpils L 2-347.3 1075 1154 25.73% 18.31% 55.96%-0.42 -8.9 0
2021-04-03 Spartaks Jurmala W 6-135.5 1432 1299 61.72% 18.01% 20.27%+0.62 +29.4 6
2021-04-03 @ Riga FC L 1-635.5 1299 1432 20.27% 18.01% 61.72%-0.62 -29.4 3
2021-04-04 Liepaja W 4-036.2 1485 1375 59.43% 18.15% 22.42%+0.54 +31.5 3
2021-04-04 @ FK RFS L 0-436.2 1375 1485 22.42% 18.15% 59.43%-0.54 -31.5 3
2021-04-10 Riga FC D 1-155.8 1066 1461 7.99% 16.14% 75.87%-1.38 +5.9 1
2021-04-10 @ Metta D 1-155.8 1461 1066 75.87% 16.14% 7.99%+1.38 -5.9 7
2021-04-10 Valmiera L 1-249.1 1343 1369 42.12% 18.59% 39.30%+0.02 -14.2 3
2021-04-10 @ Liepaja W 2-149.1 1369 1343 39.30% 18.59% 42.12%-0.02 +14.2 7
2021-04-11 FK RFS L 0-137.4 1270 1517 16.61% 17.69% 65.70%-0.82 -6.7 3
2021-04-11 @ Spartaks Jurmala W 1-037.4 1517 1270 65.70% 17.69% 16.61%+0.82 +6.7 6
2021-04-17 Daugavpils W 4-027.7 1455 1163 74.11% 16.52% 9.37%+1.22 +13.8 10
2021-04-17 @ Riga FC L 0-427.7 1163 1455 9.37% 16.52% 74.11%-1.22 -13.8 7
2021-04-18 FK RFS D 3-366.1 1072 1524 5.99% 15.41% 78.60%-1.59 +3.9 2
2021-04-18 @ Metta D 3-366.1 1524 1072 78.60% 15.41% 5.99%+1.59 -3.9 7
2021-04-19 Spartaks Jurmala W 2-034.6 1383 1263 60.45% 18.09% 21.46%+0.57 +16.0 10
2021-04-19 @ Valmiera L 0-234.6 1263 1383 21.46% 18.09% 60.45%-0.57 -16.0 3
2021-04-24 Spartaks Jurmala L 0-539.6 1273 1247 49.34% 18.51% 32.15%+0.22 -76.2 0
2021-04-24 @ Noah Jurmala W 5-039.6 1247 1273 32.15% 18.51% 49.34%-0.22 +76.2 6
2021-04-24 Valmiera D 1-155.3 1076 1399 11.45% 16.97% 71.58%-1.11 +5.2 3
2021-04-24 @ Metta D 1-155.3 1399 1076 71.58% 16.97% 11.45%+1.11 -5.2 11
2021-04-25 FK RFS L 0-346.5 1469 1520 38.63% 18.59% 42.79%-0.07 -38.5 10
2021-04-25 @ Riga FC W 3-046.5 1520 1469 42.79% 18.59% 38.63%+0.07 +38.5 10
2021-04-29 Noah Jurmala W 4-240.6 1558 1197 77.73% 15.66% 6.61%+1.48 +4.0 13
2021-04-29 @ FK RFS L 2-440.6 1197 1558 6.61% 15.66% 77.73%-1.48 -4.0 0
2021-04-30 Riga FC W 2-150.9 1394 1431 40.62% 18.59% 40.79%-0.02 +13.9 14
2021-04-30 @ Valmiera L 1-250.9 1431 1394 40.79% 18.59% 40.62%+0.02 -13.8 10
2021-05-01 Liepaja L 0-136.4 1150 1329 22.76% 18.17% 59.07%-0.56 -8.9 7
2021-05-01 @ Daugavpils W 1-036.4 1329 1150 59.07% 18.17% 22.76%+0.56 +8.9 6
2021-05-04 FK RFS L 0-145.7 1408 1562 25.45% 18.30% 56.25%-0.46 -9.9 14
2021-05-04 @ Valmiera W 1-045.7 1562 1408 56.25% 18.30% 25.45%+0.46 +9.9 16
2021-05-05 Liepaja L 0-330.0 1081 1338 15.85% 17.61% 66.54%-0.85 -17.6 3
2021-05-05 @ Metta W 3-030.0 1338 1081 66.54% 17.61% 15.85%+0.85 +17.6 9
2021-05-05 Spartaks Jurmala W 3-043.3 1141 1323 22.44% 18.15% 59.41%-0.57 +56.2 10
2021-05-05 @ Daugavpils L 0-343.3 1323 1141 59.41% 18.15% 22.44%+0.57 -56.2 6
2021-05-09 Liepaja W 4-141.8 1417 1355 53.79% 18.39% 27.82%+0.35 +24.6 13
2021-05-09 @ Riga FC L 1-441.8 1355 1417 27.82% 18.39% 53.79%-0.35 -24.6 9
2021-05-09 Noah Jurmala W 2-031.9 1398 1193 68.15% 17.43% 14.42%+0.89 +11.1 17
2021-05-09 @ Valmiera L 0-231.9 1193 1398 14.42% 17.43% 68.15%-0.89 -11.1 0
2021-05-09 Spartaks Jurmala W 2-045.5 1063 1267 20.37% 18.02% 61.62%-0.65 +40.1 6
2021-05-09 @ Metta L 0-245.5 1267 1063 61.62% 18.02% 20.37%+0.65 -40.1 6
2021-05-13 Riga FC L 1-241.6 1227 1442 19.37% 17.94% 62.69%-0.69 -7.3 6
2021-05-13 @ Spartaks Jurmala W 2-141.6 1442 1227 62.69% 17.94% 19.37%+0.69 +7.3 16
2021-05-14 FK RFS L 1-245.8 1331 1572 17.09% 17.74% 65.17%-0.79 -6.5 9
2021-05-14 @ Liepaja W 2-145.8 1572 1331 65.17% 17.74% 17.09%+0.79 +6.5 19
2021-05-14 Noah Jurmala L 1-248.9 1197 1182 47.75% 18.54% 33.72%+0.17 -15.8 10
2021-05-14 @ Daugavpils W 2-148.9 1182 1197 33.72% 18.54% 47.75%-0.17 +15.8 3
2021-05-18 Spartaks Jurmala W 1-034.0 1579 1220 77.63% 15.69% 6.68%+1.47 +2.7 22
2021-05-18 @ FK RFS L 0-134.0 1220 1579 6.68% 15.69% 77.63%-1.47 -2.7 6
2021-05-19 Daugavpils L 0-139.8 1103 1181 34.87% 18.55% 46.58%-0.18 -12.9 6
2021-05-19 @ Metta W 1-039.8 1181 1103 46.58% 18.55% 34.87%+0.18 +12.9 13
2021-05-19 Liepaja W 1-039.1 1409 1324 56.57% 18.29% 25.14%+0.44 +9.8 20
2021-05-19 @ Valmiera L 0-139.1 1324 1409 25.14% 18.29% 56.57%-0.44 -9.8 9
2021-05-20 Riga FC L 0-730.8 1198 1449 16.35% 17.66% 65.99%-0.83 -40.0 3
2021-05-20 @ Noah Jurmala W 7-030.8 1449 1198 65.99% 17.66% 16.35%+0.83 +40.0 19
2021-05-23 Valmiera W 1-048.8 1217 1419 20.52% 18.03% 61.45%-0.65 +21.2 9
2021-05-23 @ Spartaks Jurmala L 0-148.8 1419 1217 61.45% 18.03% 20.52%+0.65 -21.2 20
2021-05-24 Metta L 0-341.6 1158 1090 54.54% 18.37% 27.09%+0.37 -51.8 3
2021-05-24 @ Noah Jurmala W 3-041.6 1090 1158 27.09% 18.37% 54.54%-0.37 +51.8 9
2021-05-24 Riga FC D 1-156.6 1194 1489 13.20% 17.26% 69.54%-1.00 +4.8 14
2021-05-24 @ Daugavpils D 1-156.6 1489 1194 69.54% 17.26% 13.20%+1.00 -4.8 20
2021-05-28 Metta W 3-027.8 1484 1142 76.81% 15.91% 7.28%+1.41 +8.2 23
2021-05-28 @ Riga FC L 0-327.8 1142 1484 7.28% 15.91% 76.81%-1.41 -8.2 9
2021-05-29 Daugavpils W 2-138.5 1581 1199 78.71% 15.37% 5.92%+1.56 +2.3 25
2021-05-29 @ FK RFS L 1-238.5 1199 1581 5.92% 15.37% 78.71%-1.56 -2.3 14
2021-05-29 Liepaja L 0-530.3 1106 1315 19.95% 17.99% 62.06%-0.67 -35.0 3
2021-05-29 @ Noah Jurmala W 5-030.3 1315 1106 62.06% 17.99% 19.95%+0.67 +35.0 12
2021-06-11 Noah Jurmala FW48.5 1134 1071 53.92% 18.39% 27.69%+0.35 +0.0 12
2021-06-11 @ Metta FL48.5 1071 1134 27.69% 18.39% 53.92%-0.35 +0.0 3
2021-06-13 Liepaja L 1-244.4 1238 1350 30.49% 18.47% 51.04%-0.30 -10.9 9
2021-06-13 @ Spartaks Jurmala W 2-144.4 1350 1238 51.04% 18.47% 30.49%+0.30 +10.9 15
2021-06-13 Metta W 3-027.4 1584 1134 81.38% 14.43% 4.19%+1.81 +4.6 28
2021-06-13 @ FK RFS L 0-327.4 1134 1584 4.19% 14.43% 81.38%-1.81 -4.6 12
2021-06-13 Noah Jurmala W 1-030.4 1492 1071 80.30% 14.84% 4.86%+1.71 +2.0 26
2021-06-13 @ Riga FC L 0-130.4 1071 1492 4.86% 14.84% 80.30%-1.71 -2.0 3
2021-06-13 Valmiera L 1-241.4 1196 1398 20.59% 18.03% 61.38%-0.64 -7.7 14
2021-06-13 @ Daugavpils W 2-141.4 1398 1196 61.38% 18.03% 20.59%+0.64 +7.7 23
2021-06-17 Metta W 2-030.1 1406 1129 73.16% 16.70% 10.14%+1.16 +7.9 26
2021-06-17 @ Valmiera L 0-230.1 1129 1406 10.14% 16.70% 73.16%-1.16 -7.9 12
2021-06-17 Noah Jurmala W 5-238.7 1227 1069 64.12% 17.83% 18.05%+0.71 +14.5 12
2021-06-17 @ Spartaks Jurmala L 2-538.7 1069 1227 18.05% 17.83% 64.12%-0.71 -14.5 3
2021-06-17 Riga FC W 3-152.7 1588 1494 57.59% 18.24% 24.17%+0.47 +15.4 31
2021-06-17 @ FK RFS L 1-352.7 1494 1588 24.17% 18.24% 57.59%-0.47 -15.4 26
2021-06-21 Daugavpils D 0-051.3 1360 1189 65.37% 17.72% 16.91%+0.77 -4.5 16
2021-06-21 @ Liepaja D 0-051.3 1189 1360 16.91% 17.72% 65.37%-0.77 +4.5 15
2021-06-21 FK RFS L 0-525.4 1055 1604 3.64% 14.04% 82.32%-1.95 -6.4 3
2021-06-21 @ Noah Jurmala W 5-025.4 1604 1055 82.32% 14.04% 3.64%+1.95 +6.4 34
2021-06-21 Valmiera W 1-043.6 1479 1413 54.26% 18.38% 27.36%+0.36 +10.5 29
2021-06-21 @ Riga FC L 0-143.6 1413 1479 27.36% 18.38% 54.26%-0.36 -10.5 26
2021-06-25 Daugavpils W 2-036.1 1242 1193 52.17% 18.44% 29.39%+0.30 +21.1 15
2021-06-25 @ Spartaks Jurmala L 0-236.1 1193 1242 29.39% 18.44% 52.17%-0.30 -21.1 15
2021-06-25 Noah Jurmala W 2-135.1 1489 1048 81.06% 14.56% 4.38%+1.78 +1.7 32
2021-06-25 @ Riga FC L 1-235.1 1048 1489 4.38% 14.56% 81.06%-1.78 -1.7 3
2021-06-25 Valmiera L 1-265.1 1610 1403 68.32% 17.41% 14.26%+0.90 -22.2 34
2021-06-25 @ FK RFS W 2-165.1 1403 1610 14.26% 17.41% 68.32%-0.90 +22.2 29
2021-06-26 Metta W 2-030.7 1356 1121 70.37% 17.15% 12.48%+1.00 +9.6 19
2021-06-26 @ Liepaja L 0-230.7 1121 1356 12.48% 17.15% 70.37%-1.00 -9.6 12
2021-07-01 Riga FC W 1-050.2 1365 1491 28.76% 18.42% 52.81%-0.36 +18.4 22
2021-07-01 @ Liepaja L 0-150.2 1491 1365 52.81% 18.42% 28.76%+0.36 -18.4 32
2021-07-02 Daugavpils W 4-028.3 1425 1172 71.65% 16.96% 11.39%+1.07 +16.7 32
2021-07-02 @ Valmiera L 0-428.3 1172 1425 11.39% 16.96% 71.65%-1.07 -16.7 15
2021-07-04 Spartaks Jurmala L 0-333.1 1112 1263 25.80% 18.32% 55.88%-0.45 -27.3 12
2021-07-04 @ Metta W 3-033.1 1263 1112 55.88% 18.32% 25.80%+0.45 +27.3 18
2021-07-09 Daugavpils L 1-439.7 1047 1155 30.84% 18.48% 50.68%-0.29 -26.9 3
2021-07-09 @ Noah Jurmala W 4-139.7 1155 1047 50.68% 18.48% 30.84%+0.29 +26.9 18
2021-07-13 Noah Jurmala W 7-033.0 1084 1020 54.16% 18.38% 27.46%+0.36 +63.9 15
2021-07-13 @ Metta L 0-733.0 1020 1084 27.46% 18.38% 54.16%-0.36 -63.9 3
2021-07-17 Metta W 3-142.0 1182 1148 50.32% 18.49% 31.19%+0.25 +19.2 21
2021-07-17 @ Daugavpils L 1-342.0 1148 1182 31.19% 18.49% 50.32%-0.25 -19.2 15
2021-07-17 Riga FC L 2-349.1 1290 1473 22.44% 18.15% 59.41%-0.57 -7.9 18
2021-07-17 @ Spartaks Jurmala W 3-249.1 1473 1290 59.41% 18.15% 22.44%+0.57 +7.9 35
2021-07-18 Noah Jurmala FW50.0 1442 956 82.62% 13.90% 3.47%+1.95 +0.0 35
2021-07-18 @ Valmiera FL50.0 956 1442 3.47% 13.90% 82.62%-1.95 +0.0 3
2021-07-24 Daugavpils FL48.7 956 1201 16.76% 17.71% 65.54%-0.81 +0.0 3
2021-07-24 @ Noah Jurmala FW48.7 1201 956 65.54% 17.71% 16.76%+0.81 +0.0 24
2021-07-25 FK RFS L 1-243.2 1282 1588 12.52% 17.15% 70.32%-1.04 -4.8 18
2021-07-25 @ Spartaks Jurmala W 2-143.2 1588 1282 70.32% 17.15% 12.52%+1.04 +4.8 37
2021-07-25 Riga FC L 0-132.7 1129 1481 9.98% 16.66% 73.35%-1.21 -4.1 15
2021-07-25 @ Metta W 1-032.7 1481 1129 73.35% 16.66% 9.98%+1.21 +4.1 38
2021-07-31 Spartaks Jurmala W 2-141.6 1442 1277 64.72% 17.78% 17.50%+0.74 +6.6 38
2021-07-31 @ Valmiera L 1-241.6 1277 1442 17.50% 17.78% 64.72%-0.74 -6.6 18
2021-08-01 Liepaja FL49.4 956 1384 6.78% 15.73% 77.49%-1.50 +0.0 3
2021-08-01 @ Noah Jurmala FW49.4 1384 956 77.49% 15.73% 6.78%+1.50 +0.0 25
2021-08-01 Metta W 4-132.4 1593 1125 82.01% 14.17% 3.82%+1.88 +3.5 40
2021-08-01 @ FK RFS L 1-432.4 1125 1593 3.82% 14.17% 82.01%-1.88 -3.5 15
2021-08-04 Valmiera W 2-152.3 1384 1448 36.66% 18.57% 44.76%-0.13 +15.0 28
2021-08-04 @ Liepaja L 1-252.3 1448 1384 44.76% 18.57% 36.66%+0.13 -15.0 38
2021-08-11 Valmiera FL49.6 956 1433 5.26% 15.06% 79.68%-1.69 +0.0 3
2021-08-11 @ Noah Jurmala FW49.6 1433 956 79.68% 15.06% 5.26%+1.69 +0.0 41
2021-08-11 Spartaks Jurmala L 1-254.2 1399 1271 61.23% 18.04% 20.73%+0.60 -19.9 28
2021-08-11 @ Liepaja W 2-154.2 1271 1399 20.73% 18.04% 61.23%-0.60 +19.9 21
2021-08-15 Liepaja D 1-155.4 1201 1379 22.96% 18.18% 58.86%-0.55 +2.9 25
2021-08-15 @ Daugavpils D 1-155.4 1379 1201 58.86% 18.18% 22.96%+0.55 -2.9 29
2021-08-16 Noah Jurmala FW49.2 1291 956 76.44% 16.00% 7.56%+1.38 +0.0 24
2021-08-16 @ Spartaks Jurmala FL49.2 956 1291 7.56% 16.00% 76.44%-1.38 +0.0 3
2021-08-16 Valmiera L 0-428.3 1121 1433 12.14% 17.09% 70.77%-1.06 -17.8 15
2021-08-16 @ Metta W 4-028.3 1433 1121 70.77% 17.09% 12.14%+1.06 +17.8 44
2021-08-27 Daugavpils W 2-031.4 1596 1204 79.11% 15.25% 5.65%+1.60 +4.3 43
2021-08-27 @ FK RFS L 0-231.4 1204 1596 5.65% 15.25% 79.11%-1.60 -4.4 25
2021-08-28 Metta FL48.5 956 1104 26.17% 18.33% 55.50%-0.44 +0.0 3
2021-08-28 @ Noah Jurmala FW48.5 1104 956 55.50% 18.33% 26.17%+0.44 +0.0 18
2021-08-28 Spartaks Jurmala W 3-034.2 1376 1291 56.61% 18.29% 25.11%+0.44 +26.7 32
2021-08-28 @ Liepaja L 0-334.2 1291 1376 25.11% 18.29% 56.61%-0.44 -26.7 24
2021-09-11 Riga FC FL50.0 956 1485 4.04% 14.33% 81.63%-1.88 +0.0 3
2021-09-11 @ Noah Jurmala FW50.0 1485 956 81.63% 14.33% 4.04%+1.88 +0.0 41
2021-09-11 Daugavpils W 3-033.8 1264 1200 54.07% 18.38% 27.54%+0.36 +28.9 27
2021-09-11 @ Spartaks Jurmala L 0-333.8 1200 1264 27.54% 18.38% 54.07%-0.36 -28.9 25
2021-09-12 FK RFS D 1-166.5 1451 1601 25.99% 18.33% 55.68%-0.45 +2.4 45
2021-09-12 @ Valmiera D 1-166.5 1601 1451 55.68% 18.33% 25.99%+0.45 -2.4 44
2021-09-12 Liepaja L 0-329.2 1104 1403 12.94% 17.22% 69.84%-1.01 -14.5 18
2021-09-12 @ Metta W 3-029.2 1403 1104 69.84% 17.22% 12.94%+1.01 +14.5 35
2021-09-15 FK RFS FL50.9 956 1598 2.23% 12.64% 85.13%-2.31 +0.0 3
2021-09-15 @ Noah Jurmala FW50.9 1598 956 85.13% 12.64% 2.23%+2.31 +0.0 47
2021-09-15 Daugavpils W 7-129.7 1485 1171 75.32% 16.26% 8.41%+1.30 +14.9 44
2021-09-15 @ Riga FC L 1-729.7 1171 1485 8.41% 16.26% 75.32%-1.30 -15.0 25
2021-09-22 Liepaja W 2-149.6 1598 1417 66.18% 17.64% 16.18%+0.80 +6.2 50
2021-09-22 @ FK RFS L 1-249.6 1417 1598 16.18% 17.64% 66.18%-0.80 -6.2 35
2021-09-25 Liepaja L 0-153.1 1500 1411 56.98% 18.27% 24.75%+0.45 -19.7 44
2021-09-25 @ Riga FC W 1-053.1 1411 1500 24.75% 18.27% 56.98%-0.45 +19.7 38
2021-09-26 FK RFS FL50.9 956 1604 2.16% 12.54% 85.29%-2.33 +0.0 3
2021-09-26 @ Noah Jurmala FW50.9 1604 956 85.29% 12.54% 2.16%+2.33 +0.0 53
2021-09-26 Metta W 1-033.5 1293 1089 68.05% 17.44% 14.51%+0.89 +5.9 30
2021-09-26 @ Spartaks Jurmala L 0-133.5 1089 1293 14.51% 17.44% 68.05%-0.89 -5.9 18
2021-09-26 Valmiera L 1-533.1 1156 1454 13.04% 17.24% 69.73%-1.01 -15.9 25
2021-09-26 @ Daugavpils W 5-133.1 1454 1156 69.73% 17.24% 13.04%+1.01 +15.9 48
2021-09-29 FK RFS D 1-167.6 1480 1604 28.89% 18.43% 52.68%-0.35 +1.9 45
2021-09-29 @ Riga FC D 1-167.6 1604 1480 52.68% 18.43% 28.89%+0.35 -1.9 54
2021-10-02 Valmiera FL49.9 956 1470 4.37% 14.55% 81.08%-1.82 +0.0 3
2021-10-02 @ Noah Jurmala FW49.9 1470 956 81.08% 14.55% 4.37%+1.82 +0.0 51
2021-10-02 Daugavpils D 2-260.1 1083 1140 37.72% 18.58% 43.70%-0.10 +0.3 19
2021-10-02 @ Metta D 2-260.1 1140 1083 43.70% 18.58% 37.72%+0.10 -0.3 26
2021-10-02 FK RFS D 1-165.8 1431 1602 23.55% 18.21% 58.24%-0.53 +2.8 39
2021-10-02 @ Liepaja D 1-165.8 1602 1431 58.24% 18.21% 23.55%+0.53 -2.8 55
2021-10-02 Riga FC D 1-157.8 1299 1482 22.39% 18.15% 59.46%-0.57 +3.0 31
2021-10-02 @ Spartaks Jurmala D 1-157.8 1482 1299 59.46% 18.15% 22.39%+0.57 -3.0 46
2021-10-16 Liepaja W 1-045.1 1470 1434 50.59% 18.48% 30.93%+0.25 +11.7 54
2021-10-16 @ Valmiera L 0-145.1 1434 1470 30.93% 18.48% 50.59%-0.25 -11.7 39
2021-10-16 Spartaks Jurmala D 1-161.6 1600 1302 74.44% 16.45% 9.11%+1.24 -5.6 56
2021-10-16 @ FK RFS D 1-161.6 1302 1600 9.11% 16.45% 74.44%-1.24 +5.6 32
2021-10-17 Noah Jurmala FW48.7 1140 956 66.43% 17.62% 15.95%+0.81 +0.0 29
2021-10-17 @ Daugavpils FL48.7 956 1140 15.95% 17.62% 66.43%-0.81 +0.0 3
2021-10-17 Metta D 1-156.2 1479 1084 79.24% 15.20% 5.55%+1.61 -6.4 47
2021-10-17 @ Riga FC D 1-156.2 1084 1479 5.55% 15.20% 79.24%-1.61 +6.4 20
2021-10-20 FK RFS L 2-535.4 1090 1594 4.59% 14.69% 80.72%-1.78 -3.7 20
2021-10-20 @ Metta W 5-235.4 1594 1090 80.72% 14.69% 4.59%+1.78 +3.7 59
2021-10-23 Noah Jurmala FW49.9 1422 956 81.95% 14.20% 3.85%+1.88 +0.0 42
2021-10-23 @ Liepaja FL49.9 956 1422 3.85% 14.20% 81.95%-1.88 +0.0 3
2021-10-23 Riga FC W 3-047.4 1140 1472 10.97% 16.88% 72.15%-1.14 +68.0 32
2021-10-23 @ Daugavpils L 0-347.4 1472 1140 72.15% 16.88% 10.97%+1.14 -68.0 47
2021-10-23 Valmiera L 1-440.7 1307 1481 23.34% 18.20% 58.46%-0.54 -21.1 32
2021-10-23 @ Spartaks Jurmala W 4-140.7 1481 1307 58.46% 18.20% 23.34%+0.54 +21.1 57
2021-10-27 Noah Jurmala FW49.9 1422 956 81.95% 14.20% 3.85%+1.88 +0.0 45
2021-10-27 @ Liepaja FL49.9 956 1422 3.85% 14.20% 81.95%-1.88 +0.0 3
2021-10-27 FK RFS L 0-330.8 1208 1598 8.23% 16.21% 75.56%-1.35 -9.3 32
2021-10-27 @ Daugavpils W 3-030.8 1598 1208 75.56% 16.21% 8.23%+1.35 +9.3 62
2021-10-27 Riga FC D 1-161.2 1502 1404 58.03% 18.22% 23.75%+0.49 -2.8 58
2021-10-27 @ Valmiera D 1-161.2 1404 1502 23.75% 18.22% 58.03%-0.49 +2.8 48
2021-10-31 Spartaks Jurmala FL49.0 956 1286 11.08% 16.90% 72.02%-1.13 +0.0 3
2021-10-31 @ Noah Jurmala FW49.0 1286 956 72.02% 16.90% 11.08%+1.13 +0.0 35
2021-10-31 Daugavpils W 3-137.2 1422 1199 69.55% 17.26% 13.19%+0.96 +8.8 48
2021-10-31 @ Liepaja L 1-337.2 1199 1422 13.19% 17.26% 69.55%-0.96 -8.8 32
2021-10-31 Metta W 1-030.6 1500 1086 79.99% 14.95% 5.06%+1.68 +2.0 61
2021-10-31 @ Valmiera L 0-130.6 1086 1500 5.06% 14.95% 79.99%-1.68 -2.1 20
2021-10-31 Riga FC D 0-061.2 1607 1407 67.74% 17.48% 14.78%+0.87 -5.0 63
2021-10-31 @ FK RFS D 0-061.2 1407 1607 14.78% 17.48% 67.74%-0.87 +5.0 49
2021-11-06 FK RFS L 0-231.9 1190 1602 7.35% 15.93% 76.72%-1.44 -5.7 32
2021-11-06 @ Daugavpils W 2-031.9 1602 1190 76.72% 15.93% 7.35%+1.44 +5.7 66
2021-11-06 Liepaja L 0-139.3 1286 1431 26.56% 18.35% 55.10%-0.43 -10.2 35
2021-11-06 @ Spartaks Jurmala W 1-039.3 1431 1286 55.10% 18.35% 26.56%+0.43 +10.2 51
2021-11-06 Valmiera D 0-057.2 1412 1502 33.31% 18.53% 48.16%-0.22 +1.3 50
2021-11-06 @ Riga FC D 0-057.2 1502 1412 48.16% 18.53% 33.31%+0.22 -1.3 62

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 2021-10-23 10.97% @ Daugavpils 1140 3 Riga FC 1472 0
2 2021-06-25 14.26% Valmiera 1403 2 @ FK RFS 1610 1
3 2021-03-14 18.56% Valmiera 1353 3 @ FK RFS 1505 2
4 2021-05-09 20.37% @ Metta 1063 2 Spartaks Jurmala 1267 0
5 2021-05-23 20.52% @ Spartaks Jurmala 1217 1 Valmiera 1419 0
6 2021-08-11 20.73% Spartaks Jurmala 1271 2 @ Liepaja 1399 1
7 2021-05-05 22.44% @ Daugavpils 1141 3 Spartaks Jurmala 1323 0
8 2021-03-13 22.58% @ Daugavpils 1132 2 Spartaks Jurmala 1313 1
9 2021-09-25 24.75% Liepaja 1411 1 @ Riga FC 1500 0
10 2021-05-24 27.09% Metta 1090 3 @ Noah Jurmala 1158 0
11 2021-07-01 28.76% @ Liepaja 1365 1 Riga FC 1491 0
12 2021-04-24 32.15% Spartaks Jurmala 1247 5 @ Noah Jurmala 1273 0
13 2021-05-14 33.72% Noah Jurmala 1182 2 @ Daugavpils 1197 1
14 2021-03-19 35.07% Riga FC 1401 2 @ Liepaja 1405 0
15 2021-08-04 36.66% @ Liepaja 1384 2 Valmiera 1448 1
16 2021-04-10 39.30% Valmiera 1369 2 @ Liepaja 1343 1
17 2021-04-30 40.62% @ Valmiera 1394 2 Riga FC 1431 1

Biggest Elo Changes

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

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2021-04-24 76.17 Spartaks Jurmala 5 1247 32.15% @ Noah Jurmala 0 1273 49.34% 18.51%
2 2021-10-23 67.99 @ Daugavpils 3 1140 10.97% Riga FC 0 1472 72.15% 16.88%
3 2021-07-13 63.88 @ Metta 7 1084 54.16% Noah Jurmala 0 1020 27.46% 18.38%
4 2021-05-05 56.18 @ Daugavpils 3 1141 22.44% Spartaks Jurmala 0 1323 59.41% 18.15%
5 2021-05-24 51.82 Metta 3 1090 27.09% @ Noah Jurmala 0 1158 54.54% 18.37%
6 2021-05-09 40.07 @ Metta 2 1063 20.37% Spartaks Jurmala 0 1267 61.62% 18.02%
7 2021-05-20 40.02 Riga FC 7 1449 65.99% @ Noah Jurmala 0 1198 16.35% 17.66%
8 2021-04-25 38.48 FK RFS 3 1520 42.79% @ Riga FC 0 1469 38.63% 18.59%
9 2021-05-29 34.99 Liepaja 5 1315 62.06% @ Noah Jurmala 0 1106 19.95% 17.99%
10 2021-04-04 31.54 @ FK RFS 4 1485 59.43% Liepaja 0 1375 22.42% 18.15%
11 2021-03-19 30.85 Riga FC 2 1401 35.07% @ Liepaja 0 1405 46.38% 18.56%
12 2021-04-03 29.40 @ Riga FC 6 1432 61.72% Spartaks Jurmala 1 1299 20.27% 18.01%
13 2021-09-11 28.94 @ Spartaks Jurmala 3 1264 54.07% Daugavpils 0 1200 27.54% 18.38%
14 2021-07-04 27.34 Spartaks Jurmala 3 1263 55.88% @ Metta 0 1112 25.80% 18.32%
15 2021-07-09 26.88 Daugavpils 4 1155 50.68% @ Noah Jurmala 1 1047 30.84% 18.48%
16 2021-08-28 26.69 @ Liepaja 3 1376 56.61% Spartaks Jurmala 0 1291 25.11% 18.29%
17 2021-05-09 24.61 @ Riga FC 4 1417 53.79% Liepaja 1 1355 27.82% 18.39%
18 2021-06-25 22.19 Valmiera 2 1403 14.26% @ FK RFS 1 1610 68.32% 17.41%
19 2021-05-23 21.19 @ Spartaks Jurmala 1 1217 20.52% Valmiera 0 1419 61.45% 18.03%
20 2021-10-23 21.10 Valmiera 4 1481 58.46% @ Spartaks Jurmala 1 1307 23.34% 18.20%
21 2021-06-25 21.07 @ Spartaks Jurmala 2 1242 52.17% Daugavpils 0 1193 29.39% 18.44%
22 2021-08-11 19.91 Spartaks Jurmala 2 1271 20.73% @ Liepaja 1 1399 61.23% 18.04%
23 2021-09-25 19.71 Liepaja 1 1411 24.75% @ Riga FC 0 1500 56.98% 18.27%
24 2021-03-14 19.59 Valmiera 3 1353 18.56% @ FK RFS 2 1505 63.56% 17.87%
25 2021-03-13 19.29 @ Daugavpils 2 1132 22.58% Spartaks Jurmala 1 1313 59.26% 18.16%

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 2021-09-29 67.6 @ Riga FC 1 1480 28.89% FK RFS 1 1604 52.68% 18.43%
2 2021-09-12 66.5 @ Valmiera 1 1451 25.99% FK RFS 1 1601 55.68% 18.33%
3 2021-04-18 66.1 @ Metta 3 1072 5.99% FK RFS 3 1524 78.60% 15.41%
4 2021-10-02 65.8 @ Liepaja 1 1431 23.55% FK RFS 1 1602 58.24% 18.21%
5 2021-06-25 65.1 Valmiera 2 1403 14.26% @ FK RFS 1 1610 68.32% 17.41%
6 2021-03-14 63.6 Valmiera 3 1353 18.56% @ FK RFS 2 1505 63.56% 17.87%
7 2021-10-16 61.6 @ FK RFS 1 1600 74.44% Spartaks Jurmala 1 1302 9.11% 16.45%
8 2021-10-27 61.2 @ Valmiera 1 1502 58.03% Riga FC 1 1404 23.75% 18.22%
9 2021-10-31 61.2 @ FK RFS 0 1607 67.74% Riga FC 0 1407 14.78% 17.48%
10 2021-03-19 61.0 @ Valmiera 2 1373 69.45% Daugavpils 2 1151 13.27% 17.27%
11 2021-10-02 60.1 @ Metta 2 1083 37.72% Daugavpils 2 1140 43.70% 18.58%
12 2021-10-02 57.8 @ Spartaks Jurmala 1 1299 22.39% Riga FC 1 1482 59.46% 18.15%
13 2021-11-06 57.2 @ Riga FC 0 1412 33.31% Valmiera 0 1502 48.16% 18.53%
14 2021-05-24 56.6 @ Daugavpils 1 1194 13.20% Riga FC 1 1489 69.54% 17.26%
15 2021-10-17 56.2 @ Riga FC 1 1479 79.24% Metta 1 1084 5.55% 15.20%
16 2021-04-10 55.8 @ Metta 1 1066 7.99% Riga FC 1 1461 75.87% 16.14%
17 2021-08-15 55.4 @ Daugavpils 1 1201 22.96% Liepaja 1 1379 58.86% 18.18%
18 2021-04-24 55.3 @ Metta 1 1076 11.45% Valmiera 1 1399 71.58% 16.97%
19 2021-08-11 54.2 Spartaks Jurmala 2 1271 20.73% @ Liepaja 1 1399 61.23% 18.04%
20 2021-09-25 53.1 Liepaja 1 1411 24.75% @ Riga FC 0 1500 56.98% 18.27%
21 2021-06-17 52.7 @ FK RFS 3 1588 57.59% Riga FC 1 1494 24.17% 18.24%
22 2021-03-13 52.4 @ Daugavpils 2 1132 22.58% Spartaks Jurmala 1 1313 59.26% 18.16%
23 2021-08-04 52.3 @ Liepaja 2 1384 36.66% Valmiera 1 1448 44.76% 18.57%
24 2021-06-21 51.3 @ Liepaja 0 1360 65.37% Daugavpils 0 1189 16.91% 17.72%
25 2021-04-30 50.9 @ Valmiera 2 1394 40.62% Riga FC 1 1431 40.79% 18.59%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2021-06-21 25.4 FK RFS 5 1604 82.32% @ Noah Jurmala 0 1055 3.64% 14.04%
2 2021-06-13 27.4 @ FK RFS 3 1584 81.38% Metta 0 1134 4.19% 14.43%
3 2021-04-17 27.7 @ Riga FC 4 1455 74.11% Daugavpils 0 1163 9.37% 16.52%
4 2021-05-28 27.8 @ Riga FC 3 1484 76.81% Metta 0 1142 7.28% 15.91%
5 2021-07-02 28.3 @ Valmiera 4 1425 71.65% Daugavpils 0 1172 11.39% 16.96%
6 2021-08-16 28.3 Valmiera 4 1433 70.77% @ Metta 0 1121 12.14% 17.09%
7 2021-09-12 29.2 Liepaja 3 1403 69.84% @ Metta 0 1104 12.94% 17.22%
8 2021-09-15 29.7 @ Riga FC 7 1485 75.32% Daugavpils 1 1171 8.41% 16.26%
9 2021-05-05 30.0 Liepaja 3 1338 66.54% @ Metta 0 1081 15.85% 17.61%
10 2021-06-17 30.1 @ Valmiera 2 1406 73.16% Metta 0 1129 10.14% 16.70%
11 2021-05-29 30.3 Liepaja 5 1315 62.06% @ Noah Jurmala 0 1106 19.95% 17.99%
12 2021-06-13 30.4 @ Riga FC 1 1492 80.30% Noah Jurmala 0 1071 4.86% 14.84%
13 2021-10-31 30.6 @ Valmiera 1 1500 79.99% Metta 0 1086 5.06% 14.95%
14 2021-06-26 30.7 @ Liepaja 2 1356 70.37% Metta 0 1121 12.48% 17.15%
15 2021-05-20 30.8 Riga FC 7 1449 65.99% @ Noah Jurmala 0 1198 16.35% 17.66%
16 2021-10-27 30.8 FK RFS 3 1598 75.56% @ Daugavpils 0 1208 8.23% 16.21%
17 2021-08-27 31.4 @ FK RFS 2 1596 79.11% Daugavpils 0 1204 5.65% 15.25%
18 2021-05-09 31.9 @ Valmiera 2 1398 68.15% Noah Jurmala 0 1193 14.42% 17.43%
19 2021-11-06 31.9 FK RFS 2 1602 76.72% @ Daugavpils 0 1190 7.35% 15.93%
20 2021-08-01 32.4 @ FK RFS 4 1593 82.01% Metta 1 1125 3.82% 14.17%
21 2021-07-25 32.7 Riga FC 1 1481 73.35% @ Metta 0 1129 9.98% 16.66%
22 2021-03-13 32.8 @ Liepaja 4 1397 75.06% Metta 1 1088 8.62% 16.32%
23 2021-07-13 33.0 @ Metta 7 1084 54.16% Noah Jurmala 0 1020 27.46% 18.38%
24 2021-07-04 33.1 Spartaks Jurmala 3 1263 55.88% @ Metta 0 1112 25.80% 18.32%
25 2021-09-26 33.1 Valmiera 5 1454 69.73% @ Daugavpils 1 1156 13.04% 17.24%