2015 Virsliga Season
84 games
Champion
Liepaja
46 points
Relegated
No relegation
Biggest Overachiever
Liepaja
10.29 points above expected
46 points · 35.71 expected points
Biggest Disappointment
Ventspils
11.08 points below expected
30 points · 41.08 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 | Liepaja | 20 | 14 | 4 | 2 | 46 | 44 | 21 | +23 | 35.71 | +10.29 |
| 2 | Skonto | 24 | 12 | 6 | 6 | 42 | 38 | 26 | +12 | 40.89 | +1.11 |
| 3 | Jelgava | 22 | 10 | 8 | 4 | 38 | 22 | 12 | +10 | 40.88 | -2.88 |
| 4 | Ventspils | 20 | 7 | 9 | 4 | 30 | 30 | 17 | +13 | 41.08 | -11.08 |
| 5 | Spartaks Jurmala | 23 | 7 | 6 | 10 | 27 | 23 | 29 | -6 | 30.79 | -3.79 |
| 6 | FB Gulbene | 16 | 6 | 3 | 7 | 21 | 20 | 22 | -2 | 14.98 | +6.02 |
| 7 | Daugavpils | 24 | 2 | 8 | 14 | 14 | 14 | 36 | -22 | 17.69 | -3.69 |
| 8 | Metta | 19 | 2 | 4 | 13 | 10 | 17 | 45 | -28 | 9.32 | +0.68 |
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 | Liepaja | 46 | 35.71 | +10.29 |
| 2 | FB Gulbene | 21 | 14.98 | +6.02 |
| 3 | Skonto | 42 | 40.89 | +1.11 |
| 4 | Metta | 10 | 9.32 | +0.68 |
| 5 | Jelgava | 38 | 40.88 | -2.88 |
Biggest Disappointments
| # | Team | Actual | Sim | vsSim |
|---|---|---|---|---|
| 1 | Ventspils | 30 | 41.08 | -11.08 |
| 2 | Spartaks Jurmala | 27 | 30.79 | -3.79 |
| 3 | Daugavpils | 14 | 17.69 | -3.69 |
| 4 | Jelgava | 38 | 40.88 | -2.88 |
| 5 | Metta | 10 | 9.32 | +0.68 |
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 | FB Gulbene | 3 | May 31 – Jun 20 | 1 in 251 |
| 2 | Liepaja | 8 | Aug 1 – Oct 19 | 1 in 153 |
| 3 | Skonto | 3 | May 24 – Jun 5 | 1 in 17 |
| 4 | Spartaks Jurmala | 3 | May 8 – May 25 | 1 in 13 |
| 5 | Ventspils | 4 | Sep 19 – Oct 31 | 1 in 10 |
Most Unlikely Losing Streaks
| # | Team | Games | Dates | Probability |
|---|---|---|---|---|
| 1 | Spartaks Jurmala | 4 | Aug 29 – Oct 18 | 1 in 54 |
| 2 | FB Gulbene | 4 | Aug 15 – Oct 3 | 1 in 15 |
| 3 | Skonto | 2 | Oct 17 – Oct 25 | 1 in 15 |
| 4 | Ventspils | 2 | Aug 28 – Sep 11 | 1 in 12 |
| 5 | Daugavpils | 5 | May 11 – Jun 26 | 1 in 11 |
Most Unlikely Unbeaten Streaks
| # | Team | Games | Dates | Probability |
|---|---|---|---|---|
| 1 | Daugavpils | 4 | Aug 3 – Aug 19 | 1 in 37 |
| 2 | Liepaja | 13 | May 30 – Oct 19 | 1 in 33 |
| 3 | Spartaks Jurmala | 6 | Mar 20 – May 25 | 1 in 16 |
| 4 | Skonto | 8 | Jun 28 – Sep 13 | 1 in 10 |
| 5 | FB Gulbene | 3 | Apr 12 – May 17 | 1 in 7 |
Most Unlikely Winless Streaks
| # | Team | Games | Dates | Probability |
|---|---|---|---|---|
| 1 | Ventspils | 8 | Jun 28 – Sep 11 | 1 in 776 |
| 2 | Jelgava | 6 | Mar 21 – May 16 | 1 in 131 |
| 3 | Daugavpils | 19 | Mar 14 – Sep 19 | 1 in 23 |
| 4 | Liepaja | 3 | Jul 4 – Jul 27 | 1 in 9 |
| 5 | FB Gulbene | 5 | Aug 9 – Oct 3 | 1 in 6 |
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 |
|---|---|---|---|---|---|---|---|
| Liepaja | 1401 | 46 | +8 | 12 | 10.0 | +2.0 | |
| Skonto | 1239 | 42 | -66 | 9 | 9.3 | -0.3 | |
| Jelgava | 1359 | 38 | +6 | 10 | 9.1 | +0.9 | |
| Ventspils | 1424 | 30 | +46 | 13 | 9.5 | +3.5 | |
| Spartaks Jurmala | 1106 | 27 | -63 | 3 | 6.3 | -3.3 | |
| FB Gulbene | 1134 | 21 | +18 | 3 | 4.1 | -1.1 | |
| Daugavpils | 1010 | 14 | +20 | 6 | 4.6 | +1.4 | |
| Metta | 964 | 10 | +23 | 3 | 2.7 | +0.3 |
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 | FG | JEL | LIE | MET | SKO | SJ | VEN |
|---|---|---|---|---|---|---|---|---|
| Daugavpils | — |
1-1-2
4.54
|
0-0-4
1.85
|
0-1-2
1.19
|
1-1-0
3.13
|
0-2-2
2.28
|
0-1-3
3.16
|
0-2-1
1.02
|
| FB Gulbene |
2-1-1
6.27
|
— |
0-1-0
0.50
|
0-0-1
0.63
|
0-1-0
1.86
|
2-0-1
2.02
|
0-0-2
1.90
|
2-0-2
1.68
|
| Jelgava |
4-0-0
9.30
|
0-1-0
2.28
|
— |
0-0-3
4.04
|
3-1-0
9.89
|
0-1-1
3.35
|
2-2-0
7.65
|
1-3-0
4.22
|
| Liepaja |
2-1-0
7.24
|
1-0-0
2.12
|
3-0-0
4.06
|
— |
2-0-0
4.97
|
2-1-1
6.25
|
3-1-0
7.56
|
1-1-1
3.51
|
| Metta |
0-1-1
2.27
|
0-1-0
0.86
|
0-1-3
1.41
|
0-0-2
0.69
|
— |
0-0-4
1.72
|
2-1-1
2.33
|
0-0-2
0.58
|
| Skonto |
2-2-0
8.78
|
1-0-2
6.20
|
1-1-0
2.06
|
1-1-2
4.55
|
4-0-0
9.48
|
— |
3-0-1
7.00
|
0-2-1
2.40
|
| Spartaks Jurmala |
3-1-0
7.74
|
2-0-0
3.52
|
0-2-2
3.24
|
0-1-3
3.32
|
1-1-2
8.71
|
1-0-3
3.83
|
— |
0-1-0
0.71
|
| Ventspils |
1-2-0
7.47
|
2-0-2
9.54
|
0-3-1
6.59
|
1-1-1
4.60
|
2-0-0
5.12
|
1-2-0
5.77
|
0-1-0
2.03
|
— |
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 | 0.76 | +10.8 |
| Allowed | 0.53 | -8.9 |
| Differential | 0.88 | +6.8 |
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 → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 14.29% | 7.14% | 7.74% | 2.38% | 2.38% | — | 33.93% |
| 1 | 7.14% | 10.71% | 5.95% | 4.17% | 1.79% | 0.60% | 30.36% |
| 2 | 7.74% | 5.95% | 2.38% | 2.98% | 0.60% | — | 19.64% |
| 3 | 2.38% | 4.17% | 2.98% | 1.19% | — | — | 10.71% |
| 4 | 2.38% | 1.79% | 0.60% | — | — | — | 4.76% |
| 5+ | — | 0.60% | — | — | — | — | 0.60% |
| Total | 33.93% | 30.36% | 19.64% | 10.71% | 4.76% | 0.60% | 100% |
Summary Statistics
| Scored | Allowed | Difference | |
|---|---|---|---|
| Mean | 1.24 | 1.24 | +0.00 |
| SD | 1.20 | 1.20 | 1.74 |
| CV | 0.97 | 0.97 | — |
| Max | 5 | 5 | +4 |
| Min | 0 | 0 | -4 |
Games Played: 84
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 12.50% | 16.67% | 20.83% | 4.17% | 4.17% | — | 58.33% |
| 1 | — | 20.83% | 4.17% | — | 4.17% | — | 29.17% |
| 2 | 4.17% | — | — | 4.17% | — | — | 8.33% |
| 3 | — | 4.17% | — | — | — | — | 4.17% |
| 4 | — | — | — | — | — | — | — |
| 5+ | — | — | — | — | — | — | — |
| Total | 16.67% | 41.67% | 25.00% | 8.33% | 8.33% | — | 100% |
Summary Statistics
| Scored | Allowed | Difference | |
|---|---|---|---|
| Mean | 0.58 | 1.50 | -0.92 |
| SD | 0.83 | 1.14 | 1.44 |
| CV | 1.42 | 0.76 | — |
| Max | 3 | 4 | +2 |
| Min | 0 | 0 | -4 |
Games Played: 24
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 6.25% | — | 31.25% | — | — | — | 37.50% |
| 1 | — | 12.50% | — | 12.50% | — | — | 25.00% |
| 2 | 12.50% | 6.25% | — | — | — | — | 18.75% |
| 3 | — | 6.25% | 6.25% | — | — | — | 12.50% |
| 4 | 6.25% | — | — | — | — | — | 6.25% |
| 5+ | — | — | — | — | — | — | — |
| Total | 25.00% | 25.00% | 37.50% | 12.50% | — | — | 100% |
Summary Statistics
| Scored | Allowed | Difference | |
|---|---|---|---|
| Mean | 1.25 | 1.38 | -0.12 |
| SD | 1.29 | 1.02 | 1.96 |
| CV | 1.03 | 0.75 | — |
| Max | 4 | 3 | +4 |
| Min | 0 | 0 | -2 |
Games Played: 16
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 27.27% | 9.09% | — | — | — | — | 36.36% |
| 1 | 22.73% | 9.09% | 9.09% | — | — | — | 40.91% |
| 2 | 9.09% | 4.55% | — | — | — | — | 13.64% |
| 3 | — | 4.55% | — | — | — | — | 4.55% |
| 4 | — | — | 4.55% | — | — | — | 4.55% |
| 5+ | — | — | — | — | — | — | — |
| Total | 59.09% | 27.27% | 13.64% | — | — | — | 100% |
Summary Statistics
| Scored | Allowed | Difference | |
|---|---|---|---|
| Mean | 1.00 | 0.55 | +0.45 |
| SD | 1.07 | 0.74 | 1.01 |
| CV | 1.07 | 1.35 | — |
| Max | 4 | 2 | +2 |
| Min | 0 | 0 | -1 |
Games Played: 22
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 5.00% | 5.00% | — | — | — | — | 10.00% |
| 1 | 10.00% | 5.00% | — | 5.00% | — | — | 20.00% |
| 2 | 5.00% | 20.00% | 5.00% | — | — | — | 30.00% |
| 3 | — | 5.00% | 10.00% | 5.00% | — | — | 20.00% |
| 4 | 10.00% | 10.00% | — | — | — | — | 20.00% |
| 5+ | — | — | — | — | — | — | — |
| Total | 30.00% | 45.00% | 15.00% | 10.00% | — | — | 100% |
Summary Statistics
| Scored | Allowed | Difference | |
|---|---|---|---|
| Mean | 2.20 | 1.05 | +1.15 |
| SD | 1.28 | 0.94 | 1.53 |
| CV | 0.58 | 0.90 | — |
| Max | 4 | 3 | +4 |
| Min | 0 | 0 | -2 |
Games Played: 20
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 5.26% | 10.53% | 5.26% | 10.53% | 10.53% | — | 42.11% |
| 1 | — | 10.53% | 5.26% | 10.53% | 5.26% | 5.26% | 36.84% |
| 2 | — | — | 5.26% | — | 5.26% | — | 10.53% |
| 3 | 5.26% | — | 5.26% | — | — | — | 10.53% |
| 4 | — | — | — | — | — | — | — |
| 5+ | — | — | — | — | — | — | — |
| Total | 10.53% | 21.05% | 21.05% | 21.05% | 21.05% | 5.26% | 100% |
Summary Statistics
| Scored | Allowed | Difference | |
|---|---|---|---|
| Mean | 0.89 | 2.37 | -1.47 |
| SD | 0.99 | 1.46 | 1.87 |
| CV | 1.11 | 0.62 | — |
| Max | 3 | 5 | +3 |
| Min | 0 | 0 | -4 |
Games Played: 19
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 16.67% | 4.17% | 4.17% | — | 4.17% | — | 29.17% |
| 1 | 12.50% | 4.17% | 4.17% | 4.17% | — | — | 25.00% |
| 2 | 4.17% | 8.33% | 4.17% | 4.17% | — | — | 20.83% |
| 3 | — | 8.33% | 4.17% | — | — | — | 12.50% |
| 4 | 4.17% | 4.17% | — | — | — | — | 8.33% |
| 5+ | — | 4.17% | — | — | — | — | 4.17% |
| Total | 37.50% | 33.33% | 16.67% | 8.33% | 4.17% | — | 100% |
Summary Statistics
| Scored | Allowed | Difference | |
|---|---|---|---|
| Mean | 1.58 | 1.08 | +0.50 |
| SD | 1.47 | 1.14 | 1.87 |
| CV | 0.93 | 1.05 | — |
| Max | 5 | 4 | +4 |
| Min | 0 | 0 | -4 |
Games Played: 24
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 13.04% | 8.70% | 4.35% | 4.35% | — | — | 30.43% |
| 1 | 8.70% | 8.70% | 13.04% | 4.35% | 4.35% | — | 39.13% |
| 2 | 13.04% | 8.70% | 4.35% | 4.35% | — | — | 30.43% |
| 3 | — | — | — | — | — | — | — |
| 4 | — | — | — | — | — | — | — |
| 5+ | — | — | — | — | — | — | — |
| Total | 34.78% | 26.09% | 21.74% | 13.04% | 4.35% | — | 100% |
Summary Statistics
| Scored | Allowed | Difference | |
|---|---|---|---|
| Mean | 1.00 | 1.26 | -0.26 |
| SD | 0.80 | 1.21 | 1.45 |
| CV | 0.80 | 0.96 | — |
| Max | 2 | 4 | +2 |
| Min | 0 | 0 | -3 |
Games Played: 23
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 25.00% | — | — | — | — | — | 25.00% |
| 1 | — | 15.00% | 10.00% | — | — | — | 25.00% |
| 2 | 15.00% | — | — | 10.00% | — | — | 25.00% |
| 3 | 15.00% | 5.00% | — | 5.00% | — | — | 25.00% |
| 4 | — | — | — | — | — | — | — |
| 5+ | — | — | — | — | — | — | — |
| Total | 55.00% | 20.00% | 10.00% | 15.00% | — | — | 100% |
Summary Statistics
| Scored | Allowed | Difference | |
|---|---|---|---|
| Mean | 1.50 | 0.85 | +0.65 |
| SD | 1.15 | 1.14 | 1.42 |
| CV | 0.76 | 1.34 | — |
| Max | 3 | 3 | +3 |
| Min | 0 | 0 | -1 |
Games Played: 20
Season Summary
Every team's regular-season finish compared against 100,000 simulations. Click any column header to sort. Luck is the team's actual points minus the sim's mean — positive means the team beat the model. Percentile is where the actual result fell in the team's sim distribution (e.g. 90% = the team did this well or better in only 10% of sims).
| Team | Elo | Points | Avg | Luck | Percentile | Min | 5th | Q1 | Median | Q3 | 95th | Max |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ventspils | 1424 | 30 | 41.08 | -11.08 | 0.0% | 31 | 34 | 38 | 41 | 44 | 47 | 53 |
| Liepaja | 1401 | 46 | 35.71 | +10.29 | 99.0% | 23 | 27 | 33 | 35 | 39 | 44 | 47 |
| Jelgava | 1359 | 38 | 40.88 | -2.88 | 38.0% | 27 | 31 | 37 | 41 | 45 | 50 | 56 |
| Skonto | 1239 | 42 | 40.89 | +1.11 | 56.0% | 28 | 30 | 36 | 41 | 45 | 50 | 54 |
| FB Gulbene | 1134 | 21 | 14.98 | +6.02 | 93.0% | 7 | 9 | 12 | 14 | 18 | 22 | 28 |
| Spartaks Jurmala | 1106 | 27 | 30.79 | -3.79 | 28.0% | 17 | 21 | 27 | 31 | 34 | 39 | 46 |
| Daugavpils | 1010 | 14 | 17.69 | -3.69 | 26.0% | 8 | 10 | 14 | 18 | 21 | 26 | 32 |
| Metta | 964 | 10 | 9.32 | +0.68 | 69.0% | 2 | 4 | 7 | 9 | 11 | 16 | 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
+4.76%
Slight Edge
38.10%28.57%33.33%
Elo Value
Home Edge: 16.56 Elo pts.
267 Elo
0.004 goals per Elo point
0800
Scoring Tilt
Expected
+0.02 goals
Neutral
-2+0.06+2
Title Race
How these are measured
The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.
- Title-Race Openness
- Effective number of teams with a live shot at finishing 1st, from the simulation. 1 means the favorite is a near-lock; larger means a wide-open race. Equal to 1 divided by the sum of squared title odds.One-Team Race: under 2 * Top-Heavy: 2 to 3 * Open: 3 to 4 * Wide Open: 4 and up.
- Champion Preseason Odds
- Preseason probability that the eventual champion would finish 1st, from the simulation. The dot marks their rank across all teams, from longshot to favorite.Preseason Favorite: 1st * Among the Favorites: 2nd * Middle of the Pack: 3rd to 4th * Longshot: 5th or lower.
- Title Margin
- Points-per-game gap between the champion and the runner-up. Shown per game so it reads the same across long and short seasons. The gold line is the winning margin the model expected, so a dot to the right means a more one-sided race than projected. A title won on goal difference shows 0.00.Photo Finish: under 0.09 * Tight Race: 0.09 to 0.16 * Comfortable: 0.16 to 0.3 * Runaway: 0.3 and up.
Title-Race Openness
3.5
Open
12348
Champion Preseason Odds
7%
Liepaja, 4th of 8
LongshotFavorite
Title Margin
Expected
0.19/gm
Comfortable
00.190.5/gm
Simulation-Based Surprises
How these are measured
The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.
- Luck Spread
- Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.As Expected: under 3.97 * Some Luck: 3.97 to 5.95 * Lucky: 5.95 to 7.94 * Wild Swing: 7.94 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 0.61 * Close: 0.61 to 0.91 * Off: 0.91 to 1.22 * Way Off: 1.22 and up.
- Biggest Overachiever
- The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 8 typically lands.
- Biggest Underachiever
- The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 8 typically lands.
- Season Outliers
- Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.Minimal Outliers: under 8 * As Expected: 8 to 12.8 * Several Outliers: 12.8 to 17.6 * Many Outliers: 17.6 and up.
Luck Spread
Expected
6.14 points
Lucky
04.9612
Average Finish Error
Expected
1.00
Off
00.762
Biggest Overachiever
Expected 93.75%
99.00%
Liepaja
50100
Biggest Underachiever
Expected
0.00%
Ventspils
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
0.24
Even
00.240.5
Noll-Scully
Elo SD: 178.40
2.21
Coin-Flip Parity
12.552.953.5
Interquartile Edge
84%
Slight Edge
50%82%100%
Best vs. Worst
Baseline 96%
93%
Even
50%100%
Close Games
Expected
61%
Very Frequent
0%61%100%
Blowouts
Expected
14%
Rare
0%15%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
0.58
Predictable
00.542
Matchup Imbalance
0.56
Notable Separation
00.5
Strangeness
Expected
1.79
Chaotic
01.002
Repeatability
0.76
Strong Carryover
00.620.761
Upset Rate
Expected
17%
Upset-Prone
0%16%50%
Clear Favorite Upset Rate
Expected
13%
As Expected
0%14%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 0.18 * Near Noise Ceiling: 0.18 to 0.26 * Above Noise: 0.26 to 0.35 * Well Above Noise: 0.35 and up.
Probability calibration
0.64
Excellent
0.010.050.10.51
Calibration slope
Ideal
0.91
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.118
Well Within Noise
00.1760.4
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).
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
|---|---|---|---|---|---|---|---|---|
| Liepaja | 7.00% | 21.00% | 15.00% | 40.00% | 17.00% | — | — | — |
| Skonto | 34.00% | 22.00% | 24.00% | 11.00% | 9.00% | — | — | — |
| Jelgava | 29.00% | 23.00% | 27.00% | 14.00% | 7.00% | — | — | — |
| Ventspils | 29.00% | 31.00% | 28.00% | 11.00% | 1.00% | — | — | — |
| Spartaks Jurmala | 1.00% | 3.00% | 6.00% | 23.00% | 57.00% | 9.00% | 1.00% | — |
| FB Gulbene | — | — | — | — | 2.00% | 38.00% | 44.00% | 16.00% |
| Daugavpils | — | — | — | 1.00% | 6.00% | 49.00% | 35.00% | 9.00% |
| Metta | — | — | — | — | 1.00% | 4.00% | 20.00% | 75.00% |
Points Required Per Position
The empirical CDF of simulated point totals per finishing position. Each curve shows, for one position (1st, 2nd, ..., last), the spread of point totals teams accumulated across simulations. Reading the curve at the 50% mark gives the median points typically needed to finish at that position. Steep curves mean the position is tightly clustered around a particular point range; shallow curves mean the position came with a wide variety of point totals.
Next-Season Status
Across 100,000 regular-season simulations, the probability of each team's next-season status. Columns appear in best-to-worst outcome order: promotion-positive on the left, relegation-positive on the right. Cells with darker shading indicate higher likelihood.
| Team | Same level | Qualified for relegation playoff |
|---|---|---|
| Daugavpils | 65.00% | 35.00% |
| FB Gulbene | 56.00% | 44.00% |
| Jelgava | 100% | — |
| Liepaja | 100% | — |
| Metta | 80.00% | 20.00% |
| Skonto | 100% | — |
| Spartaks Jurmala | 99.00% | 1.00% |
| Ventspils | 100% | — |
Overall Game Log
Summary of every completed game this season. Sort any column by clicking its header.
| Date | Opponent | Score | Excitement | Pre Elo | Opp Elo | Win % | Tie % | Loss % | Proj. Margin | Elo Δ | Points |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-03-13 | Skonto | W 3-2 | 51.9 | 1308 | 1277 | 41.53% | 30.07% | 28.41% | +0.18 | +9.3 | 3 |
| 2015-03-13 | @ Liepaja | L 2-3 | 51.9 | 1277 | 1308 | 28.41% | 30.07% | 41.53% | -0.18 | -9.3 | 0 |
| 2015-03-14 | Jelgava | L 0-1 | 32.8 | 1060 | 1367 | 9.78% | 22.68% | 67.53% | -1.09 | -3.8 | 0 |
| 2015-03-14 | @ Daugavpils | W 1-0 | 32.8 | 1367 | 1060 | 67.53% | 22.68% | 9.78% | +1.09 | +3.8 | 3 |
| 2015-03-14 | Ventspils | L 0-3 | 23.0 | 959 | 1456 | 4.30% | 14.48% | 81.22% | -1.80 | -3.9 | 0 |
| 2015-03-14 | @ Metta | W 3-0 | 23.0 | 1456 | 959 | 81.22% | 14.48% | 4.30% | +1.80 | +3.9 | 3 |
| 2015-03-20 | Spartaks Jurmala | D 0-0 | 48.5 | 1317 | 1173 | 55.29% | 27.63% | 17.08% | +0.60 | -3.0 | 4 |
| 2015-03-20 | @ Liepaja | D 0-0 | 48.5 | 1173 | 1317 | 17.08% | 27.63% | 55.29% | -0.60 | +3.0 | 1 |
| 2015-03-21 | FB Gulbene | W 2-0 | 26.0 | 1460 | 1037 | 78.67% | 16.17% | 5.17% | +1.65 | +3.4 | 6 |
| 2015-03-21 | @ Ventspils | L 0-2 | 26.0 | 1037 | 1460 | 5.17% | 16.17% | 78.67% | -1.65 | -3.4 | 0 |
| 2015-03-21 | Skonto | D 0-0 | 49.0 | 1370 | 1268 | 50.57% | 28.80% | 20.63% | +0.45 | -2.3 | 4 |
| 2015-03-21 | @ Jelgava | D 0-0 | 49.0 | 1268 | 1370 | 20.63% | 28.80% | 50.57% | -0.45 | +2.3 | 1 |
| 2015-04-10 | Liepaja | L 1-2 | 52.6 | 1368 | 1314 | 44.49% | 29.78% | 25.73% | +0.26 | -13.7 | 4 |
| 2015-04-10 | @ Jelgava | W 2-1 | 52.6 | 1314 | 1368 | 25.73% | 29.78% | 44.49% | -0.26 | +13.7 | 7 |
| 2015-04-12 | FB Gulbene | L 0-2 | 40.3 | 1056 | 1034 | 40.26% | 30.15% | 29.59% | +0.14 | -25.3 | 0 |
| 2015-04-12 | @ Daugavpils | W 2-0 | 40.3 | 1034 | 1056 | 29.59% | 30.15% | 40.26% | -0.14 | +25.3 | 3 |
| 2015-04-12 | Skonto | L 0-1 | 32.4 | 955 | 1270 | 9.46% | 22.35% | 68.19% | -1.12 | -3.7 | 0 |
| 2015-04-12 | @ Metta | W 1-0 | 32.4 | 1270 | 955 | 68.19% | 22.35% | 9.46% | +1.12 | +3.7 | 4 |
| 2015-04-17 | Liepaja | L 1-4 | 30.2 | 951 | 1328 | 7.28% | 19.61% | 73.11% | -1.35 | -6.2 | 0 |
| 2015-04-17 | @ Metta | W 4-1 | 30.2 | 1328 | 951 | 73.11% | 19.61% | 7.28% | +1.35 | +6.2 | 10 |
| 2015-04-18 | Ventspils | D 1-1 | 56.6 | 1031 | 1464 | 5.72% | 17.14% | 77.14% | -1.56 | +5.2 | 1 |
| 2015-04-18 | @ Daugavpils | D 1-1 | 56.6 | 1464 | 1031 | 77.14% | 17.14% | 5.72% | +1.56 | -5.2 | 7 |
| 2015-04-19 | Jelgava | D 0-0 | 48.7 | 1176 | 1354 | 17.02% | 27.60% | 55.37% | -0.61 | +3.0 | 2 |
| 2015-04-19 | @ Spartaks Jurmala | D 0-0 | 48.7 | 1354 | 1176 | 55.37% | 27.60% | 17.02% | +0.61 | -3.0 | 5 |
| 2015-05-01 | Jelgava | D 1-1 | 55.9 | 945 | 1351 | 6.42% | 18.31% | 75.27% | -1.46 | +5.0 | 1 |
| 2015-05-01 | @ Metta | D 1-1 | 55.9 | 1351 | 945 | 75.27% | 18.31% | 6.42% | +1.46 | -5.0 | 6 |
| 2015-05-04 | Daugavpils | D 1-1 | 53.1 | 1179 | 1036 | 55.05% | 27.70% | 17.25% | +0.60 | -2.7 | 3 |
| 2015-05-04 | @ Spartaks Jurmala | D 1-1 | 53.1 | 1036 | 1179 | 17.25% | 27.70% | 55.05% | -0.60 | +2.7 | 2 |
| 2015-05-04 | Skonto | D 0-0 | 50.9 | 1458 | 1274 | 59.41% | 26.27% | 14.32% | +0.75 | -3.7 | 8 |
| 2015-05-04 | @ Ventspils | D 0-0 | 50.9 | 1274 | 1458 | 14.32% | 26.27% | 59.41% | -0.75 | +3.7 | 5 |
| 2015-05-08 | Spartaks Jurmala | L 1-2 | 40.6 | 950 | 1176 | 13.85% | 25.99% | 60.15% | -0.78 | -5.3 | 1 |
| 2015-05-08 | @ Metta | W 2-1 | 40.6 | 1176 | 950 | 60.15% | 25.99% | 13.85% | +0.78 | +5.3 | 6 |
| 2015-05-10 | FB Gulbene | D 0-0 | 50.0 | 1346 | 1059 | 68.65% | 22.10% | 9.25% | +1.14 | -4.9 | 7 |
| 2015-05-10 | @ Jelgava | D 0-0 | 50.0 | 1059 | 1346 | 9.25% | 22.10% | 68.65% | -1.14 | +4.9 | 4 |
| 2015-05-11 | Daugavpils | W 4-1 | 32.8 | 1277 | 1038 | 64.48% | 24.17% | 11.35% | +0.96 | +10.4 | 8 |
| 2015-05-11 | @ Skonto | L 1-4 | 32.8 | 1038 | 1277 | 11.35% | 24.17% | 64.48% | -0.96 | -10.5 | 2 |
| 2015-05-16 | Jelgava | D 0-0 | 51.4 | 1455 | 1341 | 51.77% | 28.54% | 19.68% | +0.49 | -2.5 | 9 |
| 2015-05-16 | @ Ventspils | D 0-0 | 51.4 | 1341 | 1455 | 19.68% | 28.54% | 51.77% | -0.49 | +2.5 | 8 |
| 2015-05-16 | Skonto | W 1-0 | 46.1 | 1181 | 1288 | 23.57% | 29.45% | 46.99% | -0.34 | +15.1 | 9 |
| 2015-05-16 | @ Spartaks Jurmala | L 0-1 | 46.1 | 1288 | 1181 | 46.99% | 29.45% | 23.57% | +0.34 | -15.2 | 8 |
| 2015-05-17 | Metta | D 1-1 | 52.8 | 1064 | 945 | 52.44% | 28.38% | 19.17% | +0.51 | -2.3 | 5 |
| 2015-05-17 | @ FB Gulbene | D 1-1 | 52.8 | 945 | 1064 | 19.17% | 28.38% | 52.44% | -0.51 | +2.3 | 2 |
| 2015-05-24 | Daugavpils | W 2-0 | 28.1 | 1344 | 1028 | 70.98% | 20.83% | 8.19% | +1.24 | +5.9 | 11 |
| 2015-05-24 | @ Jelgava | L 0-2 | 28.1 | 1028 | 1344 | 8.19% | 20.83% | 70.98% | -1.24 | -5.9 | 2 |
| 2015-05-24 | Liepaja | W 1-0 | 45.2 | 1272 | 1334 | 28.72% | 30.09% | 41.19% | -0.17 | +13.7 | 11 |
| 2015-05-24 | @ Skonto | L 0-1 | 45.2 | 1334 | 1272 | 41.19% | 30.09% | 28.72% | +0.17 | -13.7 | 10 |
| 2015-05-25 | FB Gulbene | W 2-0 | 33.0 | 1196 | 1062 | 54.15% | 27.95% | 17.90% | +0.57 | +13.5 | 12 |
| 2015-05-25 | @ Spartaks Jurmala | L 0-2 | 33.0 | 1062 | 1196 | 17.90% | 27.95% | 54.15% | -0.57 | -13.5 | 5 |
| 2015-05-29 | Jelgava | W 1-0 | 45.5 | 1286 | 1350 | 28.49% | 30.07% | 41.43% | -0.18 | +13.7 | 14 |
| 2015-05-29 | @ Skonto | L 0-1 | 45.5 | 1350 | 1286 | 41.43% | 30.07% | 28.49% | +0.18 | -13.7 | 11 |
| 2015-05-30 | Liepaja | L 1-2 | 44.9 | 1210 | 1321 | 23.10% | 29.36% | 47.54% | -0.35 | -8.4 | 12 |
| 2015-05-30 | @ Spartaks Jurmala | W 2-1 | 44.9 | 1321 | 1210 | 47.54% | 29.36% | 23.10% | +0.35 | +8.4 | 13 |
| 2015-05-31 | Ventspils | W 2-1 | 57.1 | 1048 | 1452 | 6.48% | 18.41% | 75.11% | -1.45 | +20.6 | 8 |
| 2015-05-31 | @ FB Gulbene | L 1-2 | 57.1 | 1452 | 1048 | 75.11% | 18.41% | 6.48% | +1.45 | -20.6 | 9 |
| 2015-06-05 | Metta | W 4-0 | 24.9 | 1300 | 947 | 73.78% | 19.21% | 7.01% | +1.38 | +9.2 | 17 |
| 2015-06-05 | @ Skonto | L 0-4 | 24.9 | 947 | 1300 | 7.01% | 19.21% | 73.78% | -1.38 | -9.2 | 2 |
| 2015-06-06 | Daugavpils | W 2-0 | 36.1 | 1069 | 1022 | 43.59% | 29.88% | 26.53% | +0.24 | +18.7 | 11 |
| 2015-06-06 | @ FB Gulbene | L 0-2 | 36.1 | 1022 | 1069 | 26.53% | 29.88% | 43.59% | -0.24 | -18.7 | 2 |
| 2015-06-06 | Jelgava | W 2-1 | 49.2 | 1329 | 1336 | 36.21% | 30.30% | 33.48% | +0.04 | +11.1 | 16 |
| 2015-06-06 | @ Liepaja | L 1-2 | 49.2 | 1336 | 1329 | 33.48% | 30.30% | 36.21% | -0.04 | -11.1 | 11 |
| 2015-06-19 | Spartaks Jurmala | D 1-1 | 53.4 | 1325 | 1201 | 52.94% | 28.26% | 18.80% | +0.52 | -2.4 | 12 |
| 2015-06-19 | @ Jelgava | D 1-1 | 53.4 | 1201 | 1325 | 18.80% | 28.26% | 52.94% | -0.52 | +2.4 | 13 |
| 2015-06-20 | Skonto | W 3-1 | 50.9 | 1088 | 1309 | 14.11% | 26.15% | 59.74% | -0.77 | +30.2 | 14 |
| 2015-06-20 | @ FB Gulbene | L 1-3 | 50.9 | 1309 | 1088 | 59.74% | 26.15% | 14.11% | +0.77 | -30.2 | 17 |
| 2015-06-21 | Daugavpils | W 3-0 | 23.7 | 1432 | 1003 | 79.00% | 15.95% | 5.05% | +1.66 | +4.8 | 12 |
| 2015-06-21 | @ Ventspils | L 0-3 | 23.7 | 1003 | 1432 | 5.05% | 15.95% | 79.00% | -1.66 | -4.8 | 2 |
| 2015-06-26 | Metta | W 1-0 | 30.1 | 1323 | 938 | 76.08% | 17.81% | 6.11% | +1.50 | +2.2 | 15 |
| 2015-06-26 | @ Jelgava | L 0-1 | 30.1 | 938 | 1323 | 6.11% | 17.81% | 76.08% | -1.50 | -2.2 | 2 |
| 2015-06-26 | Spartaks Jurmala | L 0-1 | 35.4 | 999 | 1204 | 15.16% | 26.74% | 58.11% | -0.71 | -6.1 | 2 |
| 2015-06-26 | @ Daugavpils | W 1-0 | 35.4 | 1204 | 999 | 58.11% | 26.74% | 15.16% | +0.71 | +6.1 | 16 |
| 2015-06-28 | Ventspils | D 1-1 | 55.0 | 1279 | 1436 | 18.72% | 28.24% | 53.04% | -0.53 | +2.4 | 18 |
| 2015-06-28 | @ Skonto | D 1-1 | 55.0 | 1436 | 1279 | 53.04% | 28.24% | 18.72% | +0.53 | -2.4 | 13 |
| 2015-07-04 | Liepaja | D 3-3 | 65.1 | 1434 | 1340 | 49.50% | 29.02% | 21.49% | +0.41 | -1.2 | 14 |
| 2015-07-04 | @ Ventspils | D 3-3 | 65.1 | 1340 | 1434 | 21.49% | 29.02% | 49.50% | -0.41 | +1.2 | 17 |
| 2015-07-11 | Daugavpils | D 1-1 | 55.6 | 1341 | 993 | 73.50% | 19.38% | 7.12% | +1.37 | -4.9 | 18 |
| 2015-07-11 | @ Liepaja | D 1-1 | 55.6 | 993 | 1341 | 7.12% | 19.38% | 73.50% | -1.37 | +4.9 | 3 |
| 2015-07-12 | Spartaks Jurmala | W 2-1 | 45.0 | 1281 | 1210 | 46.74% | 29.48% | 23.77% | +0.33 | +8.6 | 21 |
| 2015-07-12 | @ Skonto | L 1-2 | 45.0 | 1210 | 1281 | 23.77% | 29.48% | 46.74% | -0.33 | -8.6 | 16 |
| 2015-07-26 | Spartaks Jurmala | L 0-2 | 36.1 | 1118 | 1201 | 26.11% | 29.83% | 44.06% | -0.25 | -18.5 | 14 |
| 2015-07-26 | @ FB Gulbene | W 2-0 | 36.1 | 1201 | 1118 | 44.06% | 29.83% | 26.11% | +0.25 | +18.5 | 19 |
| 2015-07-27 | Daugavpils | W 1-0 | 31.4 | 1325 | 998 | 71.87% | 20.33% | 7.80% | +1.29 | +2.9 | 18 |
| 2015-07-27 | @ Jelgava | L 0-1 | 31.4 | 998 | 1325 | 7.80% | 20.33% | 71.87% | -1.29 | -2.9 | 3 |
| 2015-07-27 | Skonto | D 2-2 | 59.3 | 1336 | 1290 | 43.57% | 29.88% | 26.55% | +0.24 | -0.8 | 19 |
| 2015-07-27 | @ Liepaja | D 2-2 | 59.3 | 1290 | 1336 | 26.55% | 29.88% | 43.57% | -0.24 | +0.8 | 22 |
| 2015-08-01 | Spartaks Jurmala | W 4-1 | 37.1 | 1336 | 1220 | 52.06% | 28.47% | 19.46% | +0.50 | +17.8 | 22 |
| 2015-08-01 | @ Liepaja | L 1-4 | 37.1 | 1220 | 1336 | 19.46% | 28.47% | 52.06% | -0.50 | -17.8 | 19 |
| 2015-08-02 | FB Gulbene | L 2-3 | 61.8 | 1433 | 1099 | 72.34% | 20.06% | 7.60% | +1.31 | -19.1 | 14 |
| 2015-08-02 | @ Ventspils | W 3-2 | 61.8 | 1099 | 1433 | 7.60% | 20.06% | 72.34% | -1.31 | +19.1 | 17 |
| 2015-08-03 | Metta | D 0-0 | 47.5 | 995 | 936 | 45.13% | 29.70% | 25.16% | +0.28 | -1.5 | 4 |
| 2015-08-03 | @ Daugavpils | D 0-0 | 47.5 | 936 | 995 | 25.16% | 29.70% | 45.13% | -0.28 | +1.5 | 3 |
| 2015-08-09 | Daugavpils | D 1-1 | 52.9 | 1118 | 993 | 53.15% | 28.21% | 18.64% | +0.53 | -2.4 | 18 |
| 2015-08-09 | @ FB Gulbene | D 1-1 | 52.9 | 993 | 1118 | 18.64% | 28.21% | 53.15% | -0.53 | +2.4 | 5 |
| 2015-08-09 | Ventspils | D 0-0 | 49.5 | 1202 | 1414 | 14.72% | 26.50% | 58.78% | -0.73 | +3.6 | 20 |
| 2015-08-09 | @ Spartaks Jurmala | D 0-0 | 49.5 | 1414 | 1202 | 58.78% | 26.50% | 14.72% | +0.73 | -3.5 | 15 |
| 2015-08-10 | Skonto | L 1-5 | 29.2 | 937 | 1291 | 8.04% | 20.65% | 71.31% | -1.26 | -9.1 | 3 |
| 2015-08-10 | @ Metta | W 5-1 | 29.2 | 1291 | 937 | 71.31% | 20.65% | 8.04% | +1.26 | +9.1 | 25 |
| 2015-08-15 | FB Gulbene | W 2-0 | 31.6 | 1300 | 1116 | 59.28% | 26.32% | 14.40% | +0.75 | +11.0 | 28 |
| 2015-08-15 | @ Skonto | L 0-2 | 31.6 | 1116 | 1300 | 14.40% | 26.32% | 59.28% | -0.75 | -10.9 | 18 |
| 2015-08-15 | Spartaks Jurmala | W 1-0 | 37.6 | 1328 | 1206 | 52.78% | 28.30% | 18.92% | +0.52 | +7.5 | 21 |
| 2015-08-15 | @ Jelgava | L 0-1 | 37.6 | 1206 | 1328 | 18.92% | 28.30% | 52.78% | -0.52 | -7.5 | 20 |
| 2015-08-15 | Ventspils | D 1-1 | 56.2 | 995 | 1410 | 6.19% | 17.94% | 75.87% | -1.49 | +5.1 | 6 |
| 2015-08-15 | @ Daugavpils | D 1-1 | 56.2 | 1410 | 995 | 75.87% | 17.94% | 6.19% | +1.49 | -5.1 | 16 |
| 2015-08-19 | Metta | D 2-2 | 60.3 | 1198 | 928 | 67.19% | 22.86% | 9.95% | +1.07 | -3.1 | 21 |
| 2015-08-19 | @ Spartaks Jurmala | D 2-2 | 60.3 | 928 | 1198 | 9.95% | 22.86% | 67.19% | -1.07 | +3.1 | 4 |
| 2015-08-19 | Skonto | D 0-0 | 49.7 | 1001 | 1311 | 9.65% | 22.54% | 67.81% | -1.10 | +4.8 | 7 |
| 2015-08-19 | @ Daugavpils | D 0-0 | 49.7 | 1311 | 1001 | 67.81% | 22.54% | 9.65% | +1.10 | -4.8 | 29 |
| 2015-08-19 | Ventspils | D 0-0 | 49.9 | 1335 | 1405 | 27.73% | 30.01% | 42.26% | -0.20 | +1.1 | 22 |
| 2015-08-19 | @ Jelgava | D 0-0 | 49.9 | 1405 | 1335 | 42.26% | 30.01% | 27.73% | +0.20 | -1.1 | 17 |
| 2015-08-23 | Daugavpils | W 2-1 | 40.7 | 1195 | 1005 | 59.86% | 26.10% | 14.04% | +0.77 | +5.3 | 24 |
| 2015-08-23 | @ Spartaks Jurmala | L 1-2 | 40.7 | 1005 | 1195 | 14.04% | 26.10% | 59.86% | -0.77 | -5.3 | 7 |
| 2015-08-23 | Liepaja | L 1-3 | 36.6 | 1105 | 1353 | 12.56% | 25.12% | 62.32% | -0.87 | -8.2 | 18 |
| 2015-08-23 | @ FB Gulbene | W 3-1 | 36.6 | 1353 | 1105 | 62.32% | 25.12% | 12.56% | +0.87 | +8.2 | 25 |
| 2015-08-24 | Jelgava | L 2-4 | 36.0 | 931 | 1336 | 6.46% | 18.37% | 75.17% | -1.45 | -3.4 | 4 |
| 2015-08-24 | @ Metta | W 4-2 | 36.0 | 1336 | 931 | 75.17% | 18.37% | 6.46% | +1.45 | +3.4 | 25 |
| 2015-08-28 | Daugavpils | D 0-0 | 50.1 | 1306 | 1000 | 70.18% | 21.28% | 8.54% | +1.21 | -5.1 | 30 |
| 2015-08-28 | @ Skonto | D 0-0 | 50.1 | 1000 | 1306 | 8.54% | 21.28% | 70.18% | -1.21 | +5.1 | 8 |
| 2015-08-28 | Ventspils | W 3-2 | 57.0 | 1362 | 1404 | 31.25% | 30.24% | 38.51% | -0.10 | +11.6 | 28 |
| 2015-08-28 | @ Liepaja | L 2-3 | 57.0 | 1404 | 1362 | 38.51% | 30.24% | 31.25% | +0.10 | -11.6 | 17 |
| 2015-08-29 | Spartaks Jurmala | W 3-2 | 60.1 | 928 | 1200 | 11.33% | 24.15% | 64.51% | -0.96 | +17.6 | 7 |
| 2015-08-29 | @ Metta | L 2-3 | 60.1 | 1200 | 928 | 64.51% | 24.15% | 11.33% | +0.96 | -17.6 | 24 |
| 2015-09-11 | Jelgava | L 1-2 | 53.2 | 1392 | 1340 | 44.36% | 29.80% | 25.84% | +0.26 | -13.7 | 17 |
| 2015-09-11 | @ Ventspils | W 2-1 | 53.2 | 1340 | 1392 | 25.84% | 29.80% | 44.36% | -0.26 | +13.6 | 28 |
| 2015-09-13 | Liepaja | L 0-4 | 25.4 | 1005 | 1373 | 7.55% | 19.99% | 72.46% | -1.32 | -10.1 | 8 |
| 2015-09-13 | @ Daugavpils | W 4-0 | 25.4 | 1373 | 1005 | 72.46% | 19.99% | 7.55% | +1.32 | +10.1 | 31 |
| 2015-09-13 | Skonto | L 1-3 | 40.8 | 1183 | 1301 | 22.36% | 29.21% | 48.43% | -0.38 | -14.1 | 24 |
| 2015-09-13 | @ Spartaks Jurmala | W 3-1 | 40.8 | 1301 | 1183 | 48.43% | 29.21% | 22.36% | +0.38 | +14.1 | 33 |
| 2015-09-18 | Liepaja | L 1-2 | 47.9 | 1315 | 1383 | 27.91% | 30.02% | 42.07% | -0.19 | -9.7 | 33 |
| 2015-09-18 | @ Skonto | W 2-1 | 47.9 | 1383 | 1315 | 42.07% | 30.02% | 27.91% | +0.19 | +9.7 | 34 |
| 2015-09-19 | Jelgava | L 0-2 | 27.8 | 995 | 1353 | 7.87% | 20.42% | 71.70% | -1.28 | -5.6 | 8 |
| 2015-09-19 | @ Daugavpils | W 2-0 | 27.8 | 1353 | 995 | 71.70% | 20.42% | 7.87% | +1.28 | +5.6 | 31 |
| 2015-09-19 | Metta | W 3-0 | 23.5 | 1379 | 946 | 79.32% | 15.74% | 4.94% | +1.68 | +4.6 | 20 |
| 2015-09-19 | @ Ventspils | L 0-3 | 23.5 | 946 | 1379 | 4.94% | 15.74% | 79.32% | -1.68 | -4.6 | 7 |
| 2015-09-25 | Daugavpils | L 0-2 | 37.4 | 941 | 989 | 30.45% | 30.20% | 39.35% | -0.12 | -20.7 | 7 |
| 2015-09-25 | @ Metta | W 2-0 | 37.4 | 989 | 941 | 39.35% | 30.20% | 30.45% | +0.12 | +20.7 | 11 |
| 2015-09-26 | Ventspils | L 0-2 | 29.8 | 1097 | 1383 | 10.66% | 23.56% | 65.78% | -1.01 | -8.0 | 18 |
| 2015-09-26 | @ FB Gulbene | W 2-0 | 29.8 | 1383 | 1097 | 65.78% | 23.56% | 10.66% | +1.01 | +8.0 | 23 |
| 2015-09-27 | Liepaja | L 0-2 | 31.9 | 1169 | 1393 | 13.92% | 26.03% | 60.05% | -0.78 | -10.6 | 24 |
| 2015-09-27 | @ Spartaks Jurmala | W 2-0 | 31.9 | 1393 | 1169 | 60.05% | 26.03% | 13.92% | +0.78 | +10.6 | 37 |
| 2015-10-02 | Jelgava | W 1-0 | 42.7 | 1404 | 1359 | 43.32% | 29.91% | 26.77% | +0.23 | +10.0 | 40 |
| 2015-10-02 | @ Liepaja | L 0-1 | 42.7 | 1359 | 1404 | 26.77% | 29.91% | 43.32% | -0.23 | -10.0 | 31 |
| 2015-10-02 | Metta | W 3-1 | 32.2 | 1305 | 920 | 76.11% | 17.79% | 6.10% | +1.50 | +3.6 | 36 |
| 2015-10-02 | @ Skonto | L 1-3 | 32.2 | 920 | 1305 | 6.10% | 17.79% | 76.11% | -1.50 | -3.6 | 7 |
| 2015-10-03 | FB Gulbene | W 3-1 | 47.0 | 1010 | 1089 | 26.66% | 29.90% | 43.44% | -0.23 | +23.3 | 14 |
| 2015-10-03 | @ Daugavpils | L 1-3 | 47.0 | 1089 | 1010 | 43.44% | 29.90% | 26.66% | +0.23 | -23.2 | 18 |
| 2015-10-17 | Skonto | W 4-0 | 43.3 | 1066 | 1309 | 12.84% | 25.33% | 61.83% | -0.85 | +68.1 | 21 |
| 2015-10-17 | @ FB Gulbene | L 0-4 | 43.3 | 1309 | 1066 | 61.83% | 25.33% | 12.84% | +0.85 | -68.1 | 36 |
| 2015-10-18 | Jelgava | L 0-1 | 36.3 | 1158 | 1349 | 16.13% | 27.21% | 56.66% | -0.65 | -6.5 | 24 |
| 2015-10-18 | @ Spartaks Jurmala | W 1-0 | 36.3 | 1349 | 1158 | 56.66% | 27.21% | 16.13% | +0.65 | +6.5 | 34 |
| 2015-10-19 | Liepaja | L 0-4 | 22.7 | 917 | 1414 | 4.31% | 14.50% | 81.20% | -1.80 | -5.1 | 7 |
| 2015-10-19 | @ Metta | W 4-0 | 22.7 | 1414 | 917 | 81.20% | 14.50% | 4.31% | +1.80 | +5.1 | 43 |
| 2015-10-24 | Spartaks Jurmala | L 0-2 | 34.7 | 1033 | 1151 | 22.37% | 29.22% | 48.42% | -0.38 | -16.3 | 14 |
| 2015-10-24 | @ Daugavpils | W 2-0 | 34.7 | 1151 | 1033 | 48.42% | 29.22% | 22.37% | +0.38 | +16.3 | 27 |
| 2015-10-25 | Metta | W 3-1 | 31.0 | 1355 | 912 | 79.99% | 15.30% | 4.71% | +1.72 | +2.6 | 37 |
| 2015-10-25 | @ Jelgava | L 1-3 | 31.0 | 912 | 1355 | 4.71% | 15.30% | 79.99% | -1.72 | -2.6 | 7 |
| 2015-10-25 | Ventspils | L 0-2 | 34.7 | 1241 | 1391 | 19.32% | 28.43% | 52.25% | -0.50 | -14.4 | 36 |
| 2015-10-25 | @ Skonto | W 2-0 | 34.7 | 1391 | 1241 | 52.25% | 28.43% | 19.32% | +0.50 | +14.4 | 26 |
| 2015-10-31 | Liepaja | W 3-1 | 48.6 | 1406 | 1419 | 35.36% | 30.31% | 34.33% | +0.01 | +19.5 | 29 |
| 2015-10-31 | @ Ventspils | L 1-3 | 48.6 | 1419 | 1406 | 34.33% | 30.31% | 35.36% | -0.01 | -19.5 | 43 |
| 2015-10-31 | Metta | L 0-3 | 44.0 | 1168 | 909 | 66.25% | 23.33% | 10.42% | +1.03 | -55.0 | 27 |
| 2015-10-31 | @ Spartaks Jurmala | W 3-0 | 44.0 | 909 | 1168 | 10.42% | 23.33% | 66.25% | -1.03 | +55.0 | 10 |
| 2015-10-31 | Skonto | L 2-3 | 46.0 | 1017 | 1226 | 14.89% | 26.59% | 58.52% | -0.72 | -5.4 | 14 |
| 2015-10-31 | @ Daugavpils | W 3-2 | 46.0 | 1226 | 1017 | 58.52% | 26.59% | 14.89% | +0.72 | +5.4 | 39 |
| 2015-11-07 | Daugavpils | W 1-0 | 30.2 | 1399 | 1012 | 76.29% | 17.68% | 6.03% | +1.51 | +2.2 | 46 |
| 2015-11-07 | @ Liepaja | L 0-1 | 30.2 | 1012 | 1399 | 6.03% | 17.68% | 76.29% | -1.51 | -2.2 | 14 |
| 2015-11-07 | Spartaks Jurmala | W 2-1 | 43.0 | 1232 | 1113 | 52.41% | 28.39% | 19.20% | +0.51 | +7.2 | 42 |
| 2015-11-07 | @ Skonto | L 1-2 | 43.0 | 1113 | 1232 | 19.20% | 28.39% | 52.41% | -0.51 | -7.2 | 27 |
| 2015-11-07 | Ventspils | D 0-0 | 50.7 | 1358 | 1425 | 28.05% | 30.04% | 41.91% | -0.19 | +1.0 | 38 |
| 2015-11-07 | @ Jelgava | D 0-0 | 50.7 | 1425 | 1358 | 41.91% | 30.04% | 28.05% | +0.19 | -1.0 | 30 |
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 | 2015-05-31 | 6.48% | @ FB Gulbene | 1048 | 2 | Ventspils | 1452 | 1 |
| 2 | 2015-08-02 | 7.60% | FB Gulbene | 1099 | 3 | @ Ventspils | 1433 | 2 |
| 3 | 2015-10-31 | 10.42% | Metta | 909 | 3 | @ Spartaks Jurmala | 1168 | 0 |
| 4 | 2015-08-29 | 11.33% | @ Metta | 928 | 3 | Spartaks Jurmala | 1200 | 2 |
| 5 | 2015-10-17 | 12.84% | @ FB Gulbene | 1066 | 4 | Skonto | 1309 | 0 |
| 6 | 2015-06-20 | 14.11% | @ FB Gulbene | 1088 | 3 | Skonto | 1309 | 1 |
| 7 | 2015-05-16 | 23.57% | @ Spartaks Jurmala | 1181 | 1 | Skonto | 1288 | 0 |
| 8 | 2015-04-10 | 25.73% | Liepaja | 1314 | 2 | @ Jelgava | 1368 | 1 |
| 9 | 2015-09-11 | 25.84% | Jelgava | 1340 | 2 | @ Ventspils | 1392 | 1 |
| 10 | 2015-10-03 | 26.66% | @ Daugavpils | 1010 | 3 | FB Gulbene | 1089 | 1 |
| 11 | 2015-05-29 | 28.49% | @ Skonto | 1286 | 1 | Jelgava | 1350 | 0 |
| 12 | 2015-05-24 | 28.72% | @ Skonto | 1272 | 1 | Liepaja | 1334 | 0 |
| 13 | 2015-04-12 | 29.59% | FB Gulbene | 1034 | 2 | @ Daugavpils | 1056 | 0 |
| 14 | 2015-08-28 | 31.25% | @ Liepaja | 1362 | 3 | Ventspils | 1404 | 2 |
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 | 2015-10-17 | 68.07 | @ FB Gulbene | 4 | 1066 | 12.84% | Skonto | 0 | 1309 | 61.83% | 25.33% |
| 2 | 2015-10-31 | 54.98 | Metta | 3 | 909 | 10.42% | @ Spartaks Jurmala | 0 | 1168 | 66.25% | 23.33% |
| 3 | 2015-06-20 | 30.21 | @ FB Gulbene | 3 | 1088 | 14.11% | Skonto | 1 | 1309 | 59.74% | 26.15% |
| 4 | 2015-04-12 | 25.32 | FB Gulbene | 2 | 1034 | 29.59% | @ Daugavpils | 0 | 1056 | 40.26% | 30.15% |
| 5 | 2015-10-03 | 23.25 | @ Daugavpils | 3 | 1010 | 26.66% | FB Gulbene | 1 | 1089 | 43.44% | 29.90% |
| 6 | 2015-09-25 | 20.72 | Daugavpils | 2 | 989 | 39.35% | @ Metta | 0 | 941 | 30.45% | 30.20% |
| 7 | 2015-05-31 | 20.59 | @ FB Gulbene | 2 | 1048 | 6.48% | Ventspils | 1 | 1452 | 75.11% | 18.41% |
| 8 | 2015-10-31 | 19.55 | @ Ventspils | 3 | 1406 | 35.36% | Liepaja | 1 | 1419 | 34.33% | 30.31% |
| 9 | 2015-08-02 | 19.09 | FB Gulbene | 3 | 1099 | 7.60% | @ Ventspils | 2 | 1433 | 72.34% | 20.06% |
| 10 | 2015-06-06 | 18.69 | @ FB Gulbene | 2 | 1069 | 43.59% | Daugavpils | 0 | 1022 | 26.53% | 29.88% |
| 11 | 2015-07-26 | 18.47 | Spartaks Jurmala | 2 | 1201 | 44.06% | @ FB Gulbene | 0 | 1118 | 26.11% | 29.83% |
| 12 | 2015-08-01 | 17.77 | @ Liepaja | 4 | 1336 | 52.06% | Spartaks Jurmala | 1 | 1220 | 19.46% | 28.47% |
| 13 | 2015-08-29 | 17.60 | @ Metta | 3 | 928 | 11.33% | Spartaks Jurmala | 2 | 1200 | 64.51% | 24.15% |
| 14 | 2015-10-24 | 16.33 | Spartaks Jurmala | 2 | 1151 | 48.42% | @ Daugavpils | 0 | 1033 | 22.37% | 29.22% |
| 15 | 2015-05-16 | 15.16 | @ Spartaks Jurmala | 1 | 1181 | 23.57% | Skonto | 0 | 1288 | 46.99% | 29.45% |
| 16 | 2015-10-25 | 14.41 | Ventspils | 2 | 1391 | 52.25% | @ Skonto | 0 | 1241 | 19.32% | 28.43% |
| 17 | 2015-09-13 | 14.13 | Skonto | 3 | 1301 | 48.43% | @ Spartaks Jurmala | 1 | 1183 | 22.36% | 29.21% |
| 18 | 2015-05-29 | 13.72 | @ Skonto | 1 | 1286 | 28.49% | Jelgava | 0 | 1350 | 41.43% | 30.07% |
| 19 | 2015-04-10 | 13.68 | Liepaja | 2 | 1314 | 25.73% | @ Jelgava | 1 | 1368 | 44.49% | 29.78% |
| 20 | 2015-05-24 | 13.67 | @ Skonto | 1 | 1272 | 28.72% | Liepaja | 0 | 1334 | 41.19% | 30.09% |
| 21 | 2015-09-11 | 13.65 | Jelgava | 2 | 1340 | 25.84% | @ Ventspils | 1 | 1392 | 44.36% | 29.80% |
| 22 | 2015-05-25 | 13.48 | @ Spartaks Jurmala | 2 | 1196 | 54.15% | FB Gulbene | 0 | 1062 | 17.90% | 27.95% |
| 23 | 2015-08-28 | 11.62 | @ Liepaja | 3 | 1362 | 31.25% | Ventspils | 2 | 1404 | 38.51% | 30.24% |
| 24 | 2015-06-06 | 11.09 | @ Liepaja | 2 | 1329 | 36.21% | Jelgava | 1 | 1336 | 33.48% | 30.30% |
| 25 | 2015-08-15 | 10.95 | @ Skonto | 2 | 1300 | 59.28% | FB Gulbene | 0 | 1116 | 14.40% | 26.32% |
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 | 2015-07-04 | 65.1 | @ Ventspils | 3 | 1434 | 49.50% | Liepaja | 3 | 1340 | 21.49% | 29.02% |
| 2 | 2015-08-02 | 61.8 | FB Gulbene | 3 | 1099 | 7.60% | @ Ventspils | 2 | 1433 | 72.34% | 20.06% |
| 3 | 2015-08-19 | 60.3 | @ Spartaks Jurmala | 2 | 1198 | 67.19% | Metta | 2 | 928 | 9.95% | 22.86% |
| 4 | 2015-08-29 | 60.1 | @ Metta | 3 | 928 | 11.33% | Spartaks Jurmala | 2 | 1200 | 64.51% | 24.15% |
| 5 | 2015-07-27 | 59.3 | @ Liepaja | 2 | 1336 | 43.57% | Skonto | 2 | 1290 | 26.55% | 29.88% |
| 6 | 2015-05-31 | 57.1 | @ FB Gulbene | 2 | 1048 | 6.48% | Ventspils | 1 | 1452 | 75.11% | 18.41% |
| 7 | 2015-08-28 | 57.0 | @ Liepaja | 3 | 1362 | 31.25% | Ventspils | 2 | 1404 | 38.51% | 30.24% |
| 8 | 2015-04-18 | 56.6 | @ Daugavpils | 1 | 1031 | 5.72% | Ventspils | 1 | 1464 | 77.14% | 17.14% |
| 9 | 2015-08-15 | 56.2 | @ Daugavpils | 1 | 995 | 6.19% | Ventspils | 1 | 1410 | 75.87% | 17.94% |
| 10 | 2015-05-01 | 55.9 | @ Metta | 1 | 945 | 6.42% | Jelgava | 1 | 1351 | 75.27% | 18.31% |
| 11 | 2015-07-11 | 55.6 | @ Liepaja | 1 | 1341 | 73.50% | Daugavpils | 1 | 993 | 7.12% | 19.38% |
| 12 | 2015-06-28 | 55.0 | @ Skonto | 1 | 1279 | 18.72% | Ventspils | 1 | 1436 | 53.04% | 28.24% |
| 13 | 2015-06-19 | 53.4 | @ Jelgava | 1 | 1325 | 52.94% | Spartaks Jurmala | 1 | 1201 | 18.80% | 28.26% |
| 14 | 2015-09-11 | 53.2 | Jelgava | 2 | 1340 | 25.84% | @ Ventspils | 1 | 1392 | 44.36% | 29.80% |
| 15 | 2015-05-04 | 53.1 | @ Spartaks Jurmala | 1 | 1179 | 55.05% | Daugavpils | 1 | 1036 | 17.25% | 27.70% |
| 16 | 2015-08-09 | 52.9 | @ FB Gulbene | 1 | 1118 | 53.15% | Daugavpils | 1 | 993 | 18.64% | 28.21% |
| 17 | 2015-05-17 | 52.8 | @ FB Gulbene | 1 | 1064 | 52.44% | Metta | 1 | 945 | 19.17% | 28.38% |
| 18 | 2015-04-10 | 52.6 | Liepaja | 2 | 1314 | 25.73% | @ Jelgava | 1 | 1368 | 44.49% | 29.78% |
| 19 | 2015-03-13 | 51.9 | @ Liepaja | 3 | 1308 | 41.53% | Skonto | 2 | 1277 | 28.41% | 30.07% |
| 20 | 2015-05-16 | 51.4 | @ Ventspils | 0 | 1455 | 51.77% | Jelgava | 0 | 1341 | 19.68% | 28.54% |
| 21 | 2015-05-04 | 50.9 | @ Ventspils | 0 | 1458 | 59.41% | Skonto | 0 | 1274 | 14.32% | 26.27% |
| 22 | 2015-06-20 | 50.9 | @ FB Gulbene | 3 | 1088 | 14.11% | Skonto | 1 | 1309 | 59.74% | 26.15% |
| 23 | 2015-11-07 | 50.7 | @ Jelgava | 0 | 1358 | 28.05% | Ventspils | 0 | 1425 | 41.91% | 30.04% |
| 24 | 2015-08-28 | 50.1 | @ Skonto | 0 | 1306 | 70.18% | Daugavpils | 0 | 1000 | 8.54% | 21.28% |
| 25 | 2015-05-10 | 50.0 | @ Jelgava | 0 | 1346 | 68.65% | FB Gulbene | 0 | 1059 | 9.25% | 22.10% |
| # | Date | Excitement | Winning Team | Losing Team | Tie % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Team | Score | Elo | Win % | Team | Score | Elo | Win % | ||||
| 1 | 2015-10-19 | 22.7 | Liepaja | 4 | 1414 | 81.20% | @ Metta | 0 | 917 | 4.31% | 14.50% |
| 2 | 2015-03-14 | 23.0 | Ventspils | 3 | 1456 | 81.22% | @ Metta | 0 | 959 | 4.30% | 14.48% |
| 3 | 2015-09-19 | 23.5 | @ Ventspils | 3 | 1379 | 79.32% | Metta | 0 | 946 | 4.94% | 15.74% |
| 4 | 2015-06-21 | 23.7 | @ Ventspils | 3 | 1432 | 79.00% | Daugavpils | 0 | 1003 | 5.05% | 15.95% |
| 5 | 2015-06-05 | 24.9 | @ Skonto | 4 | 1300 | 73.78% | Metta | 0 | 947 | 7.01% | 19.21% |
| 6 | 2015-09-13 | 25.4 | Liepaja | 4 | 1373 | 72.46% | @ Daugavpils | 0 | 1005 | 7.55% | 19.99% |
| 7 | 2015-03-21 | 26.0 | @ Ventspils | 2 | 1460 | 78.67% | FB Gulbene | 0 | 1037 | 5.17% | 16.17% |
| 8 | 2015-09-19 | 27.8 | Jelgava | 2 | 1353 | 71.70% | @ Daugavpils | 0 | 995 | 7.87% | 20.42% |
| 9 | 2015-05-24 | 28.1 | @ Jelgava | 2 | 1344 | 70.98% | Daugavpils | 0 | 1028 | 8.19% | 20.83% |
| 10 | 2015-08-10 | 29.2 | Skonto | 5 | 1291 | 71.31% | @ Metta | 1 | 937 | 8.04% | 20.65% |
| 11 | 2015-09-26 | 29.8 | Ventspils | 2 | 1383 | 65.78% | @ FB Gulbene | 0 | 1097 | 10.66% | 23.56% |
| 12 | 2015-06-26 | 30.1 | @ Jelgava | 1 | 1323 | 76.08% | Metta | 0 | 938 | 6.11% | 17.81% |
| 13 | 2015-04-17 | 30.2 | Liepaja | 4 | 1328 | 73.11% | @ Metta | 1 | 951 | 7.28% | 19.61% |
| 14 | 2015-11-07 | 30.2 | @ Liepaja | 1 | 1399 | 76.29% | Daugavpils | 0 | 1012 | 6.03% | 17.68% |
| 15 | 2015-10-25 | 31.0 | @ Jelgava | 3 | 1355 | 79.99% | Metta | 1 | 912 | 4.71% | 15.30% |
| 16 | 2015-07-27 | 31.4 | @ Jelgava | 1 | 1325 | 71.87% | Daugavpils | 0 | 998 | 7.80% | 20.33% |
| 17 | 2015-08-15 | 31.6 | @ Skonto | 2 | 1300 | 59.28% | FB Gulbene | 0 | 1116 | 14.40% | 26.32% |
| 18 | 2015-09-27 | 31.9 | Liepaja | 2 | 1393 | 60.05% | @ Spartaks Jurmala | 0 | 1169 | 13.92% | 26.03% |
| 19 | 2015-10-02 | 32.2 | @ Skonto | 3 | 1305 | 76.11% | Metta | 1 | 920 | 6.10% | 17.79% |
| 20 | 2015-04-12 | 32.4 | Skonto | 1 | 1270 | 68.19% | @ Metta | 0 | 955 | 9.46% | 22.35% |
| 21 | 2015-03-14 | 32.8 | Jelgava | 1 | 1367 | 67.53% | @ Daugavpils | 0 | 1060 | 9.78% | 22.68% |
| 22 | 2015-05-11 | 32.8 | @ Skonto | 4 | 1277 | 64.48% | Daugavpils | 1 | 1038 | 11.35% | 24.17% |
| 23 | 2015-05-25 | 33.0 | @ Spartaks Jurmala | 2 | 1196 | 54.15% | FB Gulbene | 0 | 1062 | 17.90% | 27.95% |
| 24 | 2015-10-24 | 34.7 | Spartaks Jurmala | 2 | 1151 | 48.42% | @ Daugavpils | 0 | 1033 | 22.37% | 29.22% |
| 25 | 2015-10-25 | 34.7 | Ventspils | 2 | 1391 | 52.25% | @ Skonto | 0 | 1241 | 19.32% | 28.43% |