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2014 Virsliga Season

180 games

Final

Champion

Ventspils

83 points

Relegated

No relegation

Biggest Overachiever

Jelgava

9.42 points above expected

70 points · 60.58 expected points

Biggest Disappointment

Jurmala

9.13 points below expected

7 points · 16.13 expected points

League Table

The final standings for the season. vsSim shows actual points minus the simulation's mean — positive means the team overachieved against the model, negative means they underperformed.

# Team GP W D L Pts GF GA GD SimPts vsSim
1 Ventspils 36 26 5 5 83 75 20 +55 74.94 +8.06
2 Skonto* 36 25 1 10 71 77 34 +43 72.33 -1.33
3 Jelgava 36 20 10 6 70 57 27 +30 60.58 +9.42
4 Liepaja 36 21 3 12 66 72 45 +27 56.83 +9.17
5 Daugava 36 19 8 9 65 53 39 +14 65.58 -0.58
6 Spartaks Jurmala 36 14 9 13 51 38 32 +6 44.15 +6.85
7 Daugava Riga 36 13 4 19 43 48 64 -16 47.47 -4.47
8 Daugavpils 36 8 5 23 29 30 65 -35 37.33 -8.33
9 Metta 36 3 7 26 16 26 69 -43 24.82 -8.82
10 Jurmala* 36 2 6 28 7 29 110 -81 16.13 -9.13

* Point deductions: Jurmala (-5 pts), Skonto (-5 pts)

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 Jelgava 70 60.58 +9.42
2 Liepaja 66 56.83 +9.17
3 Ventspils 83 74.94 +8.06
4 Spartaks Jurmala 51 44.15 +6.85
5 Daugava 65 65.58 -0.58

Biggest Disappointments

# Team Actual Sim vsSim
1 Jurmala 7 16.13 -9.13
2 Metta 16 24.82 -8.82
3 Daugavpils 29 37.33 -8.33
4 Daugava Riga 43 47.47 -4.47
5 Skonto 71 72.33 -1.33

Top Streaks

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

Most Unlikely Winning Streaks

# Team Games Dates Probability
1 Ventspils 12 Mar 22 – May 24 1 in 97
2 Spartaks Jurmala 3 Jun 10 – Jun 18 1 in 47
3 Liepaja 6 May 5 – Jun 11 1 in 39
4 Daugava 5 Apr 9 – Apr 30 1 in 15
5 Jelgava 4 Aug 2 – Aug 17 1 in 12

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Skonto 3 Sep 14 – Sep 29 1 in 104
2 Jurmala 11 May 1 – Jun 22 1 in 97
3 Liepaja 4 Jun 15 – Jun 29 1 in 88
4 Daugava Riga 6 Apr 13 – May 6 1 in 68
5 Ventspils 2 Jun 3 – Jun 10 1 in 46

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Spartaks Jurmala 9 Jun 10 – Jul 27 1 in 272
2 Jelgava 11 May 24 – Jul 13 1 in 255
3 Ventspils 13 Aug 13 – Nov 8 1 in 24
4 Liepaja 8 Sep 14 – Nov 8 1 in 24
5 Daugava 8 Aug 9 – Sep 28 1 in 10

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Ventspils 6 Jun 3 – Jun 25 1 in 320
2 Metta 20 Jun 11 – Oct 24 1 in 80
3 Jurmala 26 Apr 16 – Sep 19 1 in 42
4 Daugavpils 11 Jun 25 – Aug 28 1 in 34
5 Daugava Riga 8 Mar 22 – May 6 1 in 33

Position Race

Each team’s league position across the whole season. Colored teams are the season’s headline finishers — champion, promoted, and relegated; everyone else is gray as context.

Recent Form

Each team’s last 5 games, hottest first. Form shows the results (navy win, gray draw, red loss, newest on the right); the bars show Elo change over the window, points taken, points expected from the odds, and actual minus expected. Beside each team: current Elo and season points.

Team Elo Season Pts Form Elo Δ (5) Points (5) Expected (5) Actual − Exp
Ventspils 1661 83 +116 15 10.5 +4.5
Skonto 1415 76 +10 9 8.8 +0.2
Jelgava 1539 70 -13 12 11.4 +0.6
Liepaja 1466 66 +53 13 10.6 +2.4
Daugava 1419 65 -69 6 9.0 -3.0
Spartaks Jurmala 1273 51 -21 7 8.1 -1.1
Daugava Riga 1186 43 -75 3 5.6 -2.6
Daugavpils 1116 29 +23 6 3.6 +2.4
Metta 958 16 +20 3 1.7 +1.3
Jurmala 865 12 -45 0 1.7 -1.7

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 DR DAU JEL JUR LIE MET SKO SJ VEN
Daugava —
3-1-0
7.38
4-0-0
8.68
1-1-2
6.25
3-1-0
9.78
3-0-1
6.19
4-0-0
9.54
0-0-4
4.49
1-3-0
7.93
0-2-2
4.34
Daugava Riga
0-1-3
3.94
—
3-0-1
6.74
0-1-3
4.05
3-1-0
8.84
2-0-2
3.99
4-0-0
8.15
0-0-4
2.36
1-0-3
6.42
0-1-3
2.84
Daugavpils
0-0-4
2.67
1-0-3
4.59
—
0-0-4
2.89
2-2-0
8.08
0-1-3
3.46
1-2-1
7.26
1-0-3
1.67
2-0-2
4.54
1-0-3
1.57
Jelgava
2-1-1
5.07
3-1-0
7.27
4-0-0
8.46
—
4-0-0
9.34
3-0-1
5.87
1-3-0
9.78
1-1-2
3.85
1-3-0
7.59
1-1-2
3.85
Jurmala
0-1-3
1.59
0-1-3
2.51
0-2-2
3.25
0-0-4
2.06
—
0-0-4
1.56
2-1-1
4.62
0-0-4
1.04
0-1-3
2.60
0-0-4
1.14
Liepaja
1-0-3
5.13
2-0-2
7.33
3-1-0
7.88
1-0-3
5.45
4-0-0
9.83
—
4-0-0
8.95
3-0-1
2.66
2-1-1
6.66
1-1-2
3.43
Metta
0-0-4
1.82
0-0-4
3.19
1-2-1
4.07
0-3-1
1.60
1-1-2
6.70
0-0-4
2.40
—
0-0-4
1.11
1-1-2
2.46
0-0-4
1.42
Skonto
4-0-0
6.84
4-0-0
8.98
3-0-1
9.70
2-1-1
7.47
4-0-0
10.39
1-0-3
8.68
4-0-0
10.30
—
2-0-2
9.16
1-0-3
5.61
Spartaks Jurmala
0-3-1
3.40
3-0-1
4.90
2-0-2
6.79
0-3-1
3.73
3-1-0
8.76
1-1-2
4.66
2-1-1
8.89
2-0-2
2.19
—
1-0-3
2.28
Ventspils
2-2-0
6.99
3-1-0
8.49
3-0-1
9.81
2-1-1
7.48
4-0-0
10.26
2-1-1
7.89
4-0-0
9.98
3-0-1
5.71
3-0-1
9.07
—

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 0.81 +11.8
Allowed 0.84 -8.7
Differential 0.97 +5.9

Scoreline Distribution

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

↓ Scored | Allowed →012345+Total
03.89%11.39%6.94%4.17%1.39%2.50%30.28%
111.39%10.56%6.11%2.50%1.94%1.11%33.61%
26.94%6.11%1.11%1.94%1.39%—17.50%
34.17%2.50%1.94%0.56%0.28%0.28%9.72%
41.39%1.94%1.39%0.28%——5.00%
5+2.50%1.11%—0.28%——3.89%
Total30.28%33.61%17.50%9.72%5.00%3.89%100%

Summary Statistics

Scored Allowed Difference
Mean 1.40 1.40 +0.00
SD 1.44 1.44 2.26
CV 1.03 1.03 —
Max 7 7 +7
Min 0 0 -7

Games Played: 180

↓ Scored | Allowed →012345+Total
05.56%8.33%—2.78%5.56%—22.22%
125.00%11.11%5.56%———41.67%
25.56%5.56%2.78%2.78%——16.67%
32.78%2.78%2.78%2.78%——11.11%
4—2.78%————2.78%
5+2.78%——2.78%——5.56%
Total41.67%30.56%11.11%11.11%5.56%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.47 1.08 +0.39
SD 1.34 1.23 1.79
CV 0.91 1.13 —
Max 5 4 +5
Min 0 0 -4

Games Played: 36

↓ Scored | Allowed →012345+Total
02.78%13.89%5.56%5.56%2.78%—30.56%
18.33%5.56%2.78%2.78%8.33%5.56%33.33%
25.56%8.33%2.78%2.78%2.78%—22.22%
32.78%2.78%————5.56%
42.78%—2.78%———5.56%
5+2.78%—————2.78%
Total25.00%30.56%13.89%11.11%13.89%5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 1.33 1.78 -0.44
SD 1.37 1.64 2.40
CV 1.03 0.92 —
Max 6 6 +6
Min 0 0 -5

Games Played: 36

↓ Scored | Allowed →012345+Total
0—16.67%19.44%2.78%2.78%5.56%47.22%
111.11%13.89%5.56%5.56%——36.11%
2—2.78%—2.78%2.78%—8.33%
3——2.78%———2.78%
4—2.78%2.78%———5.56%
5+———————
Total11.11%36.11%30.56%11.11%5.56%5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 0.83 1.81 -0.97
SD 1.08 1.28 1.76
CV 1.30 0.71 —
Max 4 5 +3
Min 0 0 -5

Games Played: 36

↓ Scored | Allowed →012345+Total
08.33%5.56%2.78%2.78%——19.44%
113.89%19.44%5.56%———38.89%
28.33%5.56%————13.89%
311.11%5.56%5.56%———22.22%
4—2.78%————2.78%
5+2.78%—————2.78%
Total44.44%38.89%13.89%2.78%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.58 0.75 +0.83
SD 1.27 0.81 1.61
CV 0.80 1.07 —
Max 5 3 +5
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
0—11.11%5.56%5.56%—19.44%41.67%
12.78%16.67%8.33%8.33%2.78%5.56%44.44%
2———5.56%2.78%—8.33%
3————2.78%—2.78%
4——2.78%———2.78%
5+———————
Total2.78%27.78%16.67%19.44%8.33%25.00%100%

Summary Statistics

Scored Allowed Difference
Mean 0.81 3.06 -2.25
SD 0.92 2.07 2.39
CV 1.14 0.68 —
Max 4 7 +2
Min 0 0 -7

Games Played: 36

↓ Scored | Allowed →012345+Total
02.78%5.56%5.56%5.56%2.78%—22.22%
18.33%5.56%2.78%2.78%——19.44%
211.11%11.11%—5.56%——27.78%
35.56%—5.56%——2.78%13.89%
42.78%2.78%2.78%———8.33%
5+8.33%—————8.33%
Total38.89%25.00%16.67%13.89%2.78%2.78%100%

Summary Statistics

Scored Allowed Difference
Mean 2.00 1.25 +0.75
SD 1.74 1.34 2.49
CV 0.87 1.07 —
Max 7 5 +7
Min 0 0 -4

Games Played: 36

↓ Scored | Allowed →012345+Total
0—13.89%19.44%8.33%——41.67%
12.78%16.67%13.89%5.56%8.33%—47.22%
2—2.78%2.78%—2.78%—8.33%
32.78%—————2.78%
4———————
5+———————
Total5.56%33.33%36.11%13.89%11.11%—100%

Summary Statistics

Scored Allowed Difference
Mean 0.72 1.92 -1.19
SD 0.74 1.08 1.35
CV 1.03 0.56 —
Max 3 4 +3
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
0—13.89%—5.56%——19.44%
111.11%2.78%5.56%———19.44%
213.89%11.11%——2.78%—27.78%
35.56%8.33%————13.89%
42.78%2.78%—2.78%——8.33%
5+2.78%8.33%————11.11%
Total36.11%47.22%5.56%8.33%2.78%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.14 0.94 +1.19
SD 1.78 1.01 2.16
CV 0.83 1.07 —
Max 7 4 +6
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
013.89%16.67%5.56%2.78%——38.89%
116.67%5.56%11.11%———33.33%
211.11%2.78%2.78%———16.67%
3—2.78%—2.78%——5.56%
4—5.56%————5.56%
5+———————
Total41.67%33.33%19.44%5.56%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.06 0.89 +0.17
SD 1.15 0.92 1.42
CV 1.08 1.03 —
Max 4 3 +3
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
05.56%8.33%5.56%———19.44%
113.89%8.33%————22.22%
213.89%11.11%————25.00%
311.11%2.78%2.78%———16.67%
45.56%—2.78%———8.33%
5+5.56%2.78%————8.33%
Total55.56%33.33%11.11%———100%

Summary Statistics

Scored Allowed Difference
Mean 2.08 0.56 +1.53
SD 1.78 0.69 2.02
CV 0.85 1.25 —
Max 7 2 +7
Min 0 0 -2

Games Played: 36

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 1661 83 74.94 +8.06 84.0% 57 63 70 74 80 87 90
Jelgava 1539 70 60.58 +9.42 91.0% 43 48 56 61 65 73 78
Liepaja 1466 66 56.83 +9.17 91.0% 39 43 51 57 62 68 74
Daugava 1419 65 65.58 -0.58 45.0% 42 54 61 66 70 75 79
Skonto 1415 71 72.33 -1.33 44.0% 57 61 69 72 76 83 90
Spartaks Jurmala 1273 51 44.15 +6.85 87.0% 27 32 40 44 49 54 62
Daugava Riga 1186 43 47.47 -4.47 27.0% 32 37 43 47 52 57 65
Daugavpils 1116 29 37.33 -8.33 12.0% 21 27 33 37 42 47 62
Metta 958 16 24.82 -8.82 10.0% 12 15 20 25 29 34 39
Jurmala 865 7 16.13 -9.13 4.0% 3 8 12 16 20 26 31

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
+12.78%
Strong Edge
48.33%16.11%35.56%
Elo Value
Home Edge: 44.64 Elo pts.
206 Elo
0.005 goals per Elo point
0600
Scoring Tilt
Expected
+0.15 goals
Neutral
-2+0.22+2

Title Race

How these are measured

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

Title-Race Openness
Effective number of teams with a live shot at finishing 1st, from the simulation. 1 means the favorite is a near-lock; larger means a wide-open race. Equal to 1 divided by the sum of squared title odds.
One-Team Race: under 2 * Top-Heavy: 2 to 3 * Open: 3 to 4 * Wide Open: 4 and up.
Champion Preseason Odds
Preseason probability that the eventual champion would finish 1st, from the simulation. The dot marks their rank across all teams, from longshot to favorite.
Preseason Favorite: 1st * Among the Favorites: 2nd * Middle of the Pack: 3rd to 5th * Longshot: 6th or lower.
Title Margin
Points-per-game gap between the champion and the runner-up. Shown per game so it reads the same across long and short seasons. The gold line is the winning margin the model expected, so a dot to the right means a more one-sided race than projected. A title won on goal difference shows 0.00.
Photo Finish: under 0.09 * Tight Race: 0.09 to 0.16 * Comfortable: 0.16 to 0.3 * Runaway: 0.3 and up.
Title-Race Openness
2.5
Top-Heavy
123410
Champion Preseason Odds
48%
Ventspils, 1st of 10
LongshotFavorite
Title Margin
Expected
0.33/gm
Runaway
00.180.5/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread
Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.39 * Some Luck: 5.39 to 8.08 * Lucky: 8.08 to 10.78 * Wild Swing: 10.78 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 0.52 * Close: 0.52 to 0.78 * Off: 0.78 to 1.03 * Way Off: 1.03 and up.
Biggest Overachiever
The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 10 typically lands.
Biggest Underachiever
The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 10 typically lands.
Season Outliers
Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 10 * As Expected: 10 to 16 * Several Outliers: 16 to 22 * Many Outliers: 22 and up.
Luck Spread
Expected
7.33 points
Some Luck
06.7417
Average Finish Error
Expected
0.60
Close
00.651.5
Biggest Overachiever
Expected 95.00%
91.00%
Jelgava
50100
Biggest Underachiever
Expected 5.00%
4.00%
Jurmala
050
Season Outliers
Expected
1 of 10
Minimal Outliers
01.010

Parity

How these are measured

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

Gini Index
How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.24 * Even: 0.24 to 0.27 * Top-Heavy: 0.27 to 0.28 * Lopsided: 0.28 and up.
Noll-Scully
Take a league where every match is a coin flip and nobody is better than anybody. You would still get a table, with a leader and a bottom club, purely by luck, and you can work out how far apart that table would be. This is the real table measured against it. At 1.00 the season was no more spread out than pure chance; at 2.00 it was twice as spread out, which takes genuine differences in quality. Dividing by the luck figure is what makes seasons of different lengths comparable, because a short season spreads a table by luck alone far more than a long one does. Elo SD in the corner is the same question in rating points: how far apart the teams finished on the ratings.
Coin-Flip Parity: under 2.55 * Moderate Separation: 2.55 to 2.8 * Strong Separation: 2.8 to 2.95 * Wide Separation: 2.95 and up.
Interquartile Edge
Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 82% * Slight Edge: 82% to 86.5% * Clear Edge: 86.5% to 91.5% * Wide Edge: 91.5% and up.
Best vs. Worst
Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 97% * Clear Edge: 97% to 98% * Strong Edge: 98% to 99% * Dominant: 99% and up.
Close Games
Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 49% * Some Drama: 49% to 51% * Frequent: 51% to 57.5% * Very Frequent: 57.5% and up.
Blowouts
Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 21% * Occasional: 21% to 27.5% * Frequent: 27.5% to 32% * Very Frequent: 32% and up.
Gini Index
0.27
Top-Heavy
00.240.5
Noll-Scully
Elo SD: 257.25
3.08
Wide Separation
12.552.953.5
Interquartile Edge
86%
Slight Edge
50%82%100%
Best vs. Worst
Baseline 99%
99%
Strong Edge
50%100%
Close Games
Expected
56%
Frequent
0%49%100%
Blowouts
Expected
22%
Occasional
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
0.47
Highly Predictable
00.492
Matchup Imbalance
0.54
Slight Separation
00.5
Strangeness
Expected
1.23
Wilder Than Modeled
01.002
Repeatability
0.65
Some Carryover
00.620.761
Upset Rate
Expected
17%
Upset-Prone
0%19%50%
Clear Favorite Upset Rate
Expected
14%
As Expected
0%16%50%

Calibration

How these are measured

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

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.11 * Near Noise Ceiling: 0.11 to 0.17 * Above Noise: 0.17 to 0.22 * Well Above Noise: 0.22 and up.
Probability calibration
0.48
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
1.01
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.061
Well Within Noise
00.1100.25

Final Table Odds

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

Team12345678910
Ventspils48.00%37.00%11.00%2.00%2.00%—————
Skonto39.00%35.00%19.00%5.00%2.00%—————
Jelgava4.00%8.00%22.00%35.00%20.00%8.00%3.00%———
Liepaja—4.00%14.00%26.00%31.00%15.00%9.00%1.00%——
Daugava9.00%16.00%34.00%23.00%15.00%2.00%—1.00%——
Spartaks Jurmala———4.00%7.00%32.00%38.00%18.00%1.00%—
Daugava Riga———5.00%20.00%37.00%26.00%12.00%——
Daugavpils————3.00%6.00%22.00%61.00%7.00%1.00%
Metta——————2.00%6.00%80.00%12.00%
Jurmala———————1.00%12.00%87.00%

Points Required Per Position

The empirical CDF of simulated point totals per finishing position. Each curve shows, for one position (1st, 2nd, ..., last), the spread of point totals teams accumulated across simulations. Reading the curve at the 50% mark gives the median points typically needed to finish at that position. Steep curves mean the position is tightly clustered around a particular point range; shallow curves mean the position came with a wide variety of point totals.

Next-Season Status

Across 100,000 regular-season simulations, the probability of each team's next-season status. Columns appear in best-to-worst outcome order: promotion-positive on the left, relegation-positive on the right. Cells with darker shading indicate higher likelihood.

Team Same level Qualified for relegation playoff Direct relegation
Daugava 100% — —
Daugava Riga 100% — —
Jelgava 100% — —
Liepaja 100% — —
Skonto 100% — —
Spartaks Jurmala 99.00% 1.00% —
Ventspils 100% — —
Daugavpils 92.00% 7.00% 1.00%
Metta 8.00% 80.00% 12.00%
Jurmala 1.00% 12.00% 87.00%

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
2014-03-21 Metta W 2-140.1 1316 1167 64.76% 16.73% 18.51%+0.94 +11.4 3
2014-03-21 @ Liepaja L 1-240.1 1167 1316 18.51% 16.73% 64.76%-0.94 -11.4 0
2014-03-22 Daugava Riga W 2-035.8 1427 1322 60.54% 16.87% 22.59%+0.73 +27.2 3
2014-03-22 @ Ventspils L 0-235.8 1322 1427 22.59% 16.87% 60.54%-0.73 -27.2 0
2014-03-22 Jelgava L 1-343.5 1158 1228 37.87% 17.08% 45.05%-0.12 -36.9 0
2014-03-22 @ Jurmala W 3-143.5 1228 1158 45.05% 17.08% 37.87%+0.12 +36.9 3
2014-03-23 Daugavpils L 0-136.7 1139 1316 24.56% 16.92% 58.52%-0.64 -15.5 0
2014-03-23 @ Spartaks Jurmala W 1-036.7 1316 1139 58.52% 16.92% 24.56%+0.64 +15.5 3
2014-03-29 Daugava Riga D 1-155.9 1121 1294 24.87% 16.92% 58.21%-0.63 +4.5 1
2014-03-29 @ Jurmala D 1-155.9 1294 1121 58.21% 16.92% 24.87%+0.63 -4.5 1
2014-03-29 Liepaja D 1-157.0 1331 1327 48.28% 17.06% 34.66%+0.24 -1.8 4
2014-03-29 @ Daugavpils D 1-157.0 1327 1331 34.66% 17.06% 48.28%-0.24 +1.8 4
2014-03-30 Jelgava L 1-253.3 1362 1265 59.66% 16.89% 23.45%+0.69 -31.8 0
2014-03-30 @ Daugava W 2-153.3 1265 1362 23.45% 16.89% 59.66%-0.69 +31.8 6
2014-03-30 Spartaks Jurmala W 2-136.8 1463 1124 77.20% 15.73% 7.07%+1.87 +4.5 3
2014-03-30 @ Skonto L 1-236.8 1124 1463 7.07% 15.73% 77.20%-1.87 -4.5 0
2014-03-30 Ventspils L 0-231.4 1156 1455 13.77% 16.47% 69.76%-1.24 -17.2 0
2014-03-30 @ Metta W 2-031.4 1455 1156 69.76% 16.47% 13.77%+1.24 +17.3 6
2014-04-05 Daugavpils W 1-047.4 1138 1329 23.00% 16.88% 60.12%-0.71 +34.0 3
2014-04-05 @ Metta L 0-147.4 1329 1138 60.12% 16.88% 23.00%+0.71 -34.0 4
2014-04-09 Jurmala W 2-030.8 1330 1125 69.41% 16.49% 14.10%+1.21 +17.6 3
2014-04-09 @ Daugava L 0-230.8 1125 1330 14.10% 16.49% 69.41%-1.21 -17.6 1
2014-04-09 Skonto W 1-048.9 1329 1468 28.82% 17.00% 54.18%-0.46 +30.8 7
2014-04-09 @ Liepaja L 0-148.9 1468 1329 54.18% 17.00% 28.82%+0.46 -30.8 3
2014-04-09 Spartaks Jurmala D 0-051.6 1296 1119 67.25% 16.62% 16.14%+1.08 -7.9 7
2014-04-09 @ Jelgava D 0-051.6 1119 1296 16.14% 16.62% 67.25%-1.08 +7.9 1
2014-04-12 Jurmala L 2-452.7 1172 1108 55.96% 16.97% 27.07%+0.53 -46.4 3
2014-04-12 @ Metta W 4-252.7 1108 1172 27.07% 16.97% 55.96%-0.53 +46.4 4
2014-04-12 Liepaja W 3-250.1 1472 1360 61.22% 16.85% 21.93%+0.76 +12.6 9
2014-04-12 @ Ventspils L 2-350.1 1360 1472 21.93% 16.85% 61.22%-0.76 -12.5 7
2014-04-13 Daugava Riga W 1-038.6 1348 1290 55.15% 16.98% 27.86%+0.50 +17.4 6
2014-04-13 @ Daugava L 0-138.6 1290 1348 27.86% 16.98% 55.15%-0.50 -17.4 1
2014-04-13 Skonto L 0-335.0 1289 1437 27.71% 16.98% 55.31%-0.50 -47.3 7
2014-04-13 @ Jelgava W 3-035.0 1437 1289 55.31% 16.98% 27.71%+0.50 +47.3 6
2014-04-16 Daugava Riga W 3-249.6 1295 1273 50.74% 17.04% 32.21%+0.33 +17.6 7
2014-04-16 @ Daugavpils L 2-349.6 1273 1295 32.21% 17.04% 50.74%-0.33 -17.6 1
2014-04-16 Jelgava L 2-358.2 1347 1241 60.55% 16.87% 22.59%+0.73 -30.7 7
2014-04-16 @ Liepaja W 3-258.2 1241 1347 22.59% 16.87% 60.55%-0.73 +30.7 10
2014-04-16 Jurmala W 3-135.0 1484 1154 76.78% 15.79% 7.43%+1.82 +8.2 12
2014-04-16 @ Ventspils L 1-335.0 1154 1484 7.43% 15.79% 76.78%-1.82 -8.2 4
2014-04-16 Metta W 3-134.4 1484 1126 77.99% 15.60% 6.41%+1.96 +7.1 9
2014-04-16 @ Skonto L 1-334.4 1126 1484 6.41% 15.60% 77.99%-1.96 -7.1 3
2014-04-19 Jurmala D 1-155.6 1127 1146 45.13% 17.08% 37.79%+0.13 -0.9 2
2014-04-19 @ Spartaks Jurmala D 1-155.6 1146 1127 37.79% 17.08% 45.13%-0.13 +0.9 5
2014-04-19 Metta W 1-032.7 1365 1119 72.26% 16.29% 11.45%+1.41 +7.7 9
2014-04-19 @ Daugava L 0-132.7 1119 1365 11.45% 16.29% 72.26%-1.41 -7.7 3
2014-04-20 Daugava Riga W 1-038.0 1316 1255 55.56% 16.98% 27.46%+0.51 +17.1 10
2014-04-20 @ Liepaja L 0-138.0 1255 1316 27.46% 16.98% 55.56%-0.51 -17.1 1
2014-04-20 Daugavpils W 3-140.3 1492 1313 67.35% 16.61% 16.04%+1.08 +17.2 12
2014-04-20 @ Skonto L 1-340.3 1313 1492 16.04% 16.61% 67.35%-1.08 -17.2 7
2014-04-20 Ventspils L 1-243.1 1272 1493 20.07% 16.79% 63.14%-0.86 -12.2 10
2014-04-20 @ Jelgava W 2-143.1 1493 1272 63.14% 16.79% 20.07%+0.86 +12.2 15
2014-04-26 Daugava L 0-141.6 1296 1373 36.87% 17.08% 46.06%-0.16 -22.1 7
2014-04-26 @ Daugavpils W 1-041.6 1373 1296 46.06% 17.08% 36.87%+0.16 +22.1 12
2014-04-26 Liepaja L 1-435.6 1111 1333 19.93% 16.78% 63.29%-0.86 -29.8 3
2014-04-26 @ Metta W 4-135.6 1333 1111 63.29% 16.78% 19.93%+0.86 +29.8 13
2014-04-26 Spartaks Jurmala L 0-244.9 1238 1126 61.16% 16.85% 21.99%+0.76 -65.2 1
2014-04-26 @ Daugava Riga W 2-044.9 1126 1238 21.99% 16.85% 61.16%-0.76 +65.2 5
2014-04-27 Skonto W 1-050.3 1505 1509 47.18% 17.07% 35.75%+0.20 +21.5 18
2014-04-27 @ Ventspils L 0-150.3 1509 1505 35.75% 17.07% 47.18%-0.20 -21.5 12
2014-04-30 Liepaja W 5-349.8 1395 1363 51.91% 17.03% 31.06%+0.37 +26.3 15
2014-04-30 @ Daugava L 3-549.8 1363 1395 31.06% 17.03% 51.91%-0.37 -26.3 13
2014-05-01 Daugava Riga W 4-137.0 1260 1173 58.53% 16.92% 24.56%+0.64 +35.9 13
2014-05-01 @ Jelgava L 1-437.0 1173 1260 24.56% 16.92% 58.53%-0.64 -35.9 1
2014-05-01 Jurmala W 1-032.0 1487 1147 77.24% 15.72% 7.04%+1.87 +4.8 15
2014-05-01 @ Skonto L 0-132.0 1147 1487 7.04% 15.72% 77.24%-1.87 -4.8 5
2014-05-01 Metta W 4-136.1 1192 1082 60.99% 16.85% 22.15%+0.75 +32.7 8
2014-05-01 @ Spartaks Jurmala L 1-436.1 1082 1192 22.15% 16.85% 60.99%-0.75 -32.7 3
2014-05-01 Ventspils L 0-333.2 1274 1526 17.26% 16.67% 66.07%-1.01 -30.9 7
2014-05-01 @ Daugavpils W 3-033.2 1526 1274 66.07% 16.67% 17.26%+1.01 +30.9 21
2014-05-05 Daugavpils L 1-244.6 1142 1243 33.70% 17.05% 49.25%-0.27 -19.3 5
2014-05-05 @ Jurmala W 2-144.6 1243 1142 49.25% 17.05% 33.70%+0.27 +19.3 10
2014-05-05 Metta D 1-155.9 1296 1049 72.29% 16.28% 11.42%+1.42 -8.6 14
2014-05-05 @ Jelgava D 1-155.9 1049 1296 11.42% 16.28% 72.29%-1.42 +8.6 4
2014-05-05 Spartaks Jurmala W 2-033.7 1337 1224 61.27% 16.85% 21.88%+0.76 +26.4 16
2014-05-05 @ Liepaja L 0-233.7 1224 1337 21.88% 16.85% 61.27%-0.76 -26.4 8
2014-05-06 Daugava W 3-039.5 1557 1421 63.57% 16.77% 19.65%+0.88 +34.8 24
2014-05-06 @ Ventspils L 0-339.5 1421 1557 19.65% 16.77% 63.57%-0.88 -34.8 15
2014-05-06 Skonto L 1-630.3 1137 1492 10.36% 16.18% 73.46%-1.51 -25.5 1
2014-05-06 @ Daugava Riga W 6-130.3 1492 1137 73.46% 16.18% 10.36%+1.51 +25.5 18
2014-05-10 Daugava W 2-146.8 1517 1386 63.10% 16.79% 20.11%+0.85 +12.2 21
2014-05-10 @ Skonto L 1-246.8 1386 1517 20.11% 16.79% 63.10%-0.85 -12.2 15
2014-05-10 Daugava Riga L 0-238.5 1057 1111 40.13% 17.08% 42.78%-0.04 -44.7 4
2014-05-10 @ Metta W 2-038.5 1111 1057 42.78% 17.08% 40.13%+0.04 +44.7 4
2014-05-10 Jelgava L 2-353.1 1262 1287 44.27% 17.08% 38.65%+0.10 -23.0 10
2014-05-10 @ Daugavpils W 3-253.1 1287 1262 38.65% 17.08% 44.27%-0.10 +23.0 17
2014-05-10 Liepaja L 2-345.0 1123 1363 18.28% 16.72% 65.00%-0.95 -10.7 5
2014-05-10 @ Jurmala W 3-245.0 1363 1123 65.00% 16.72% 18.28%+0.95 +10.7 19
2014-05-10 Spartaks Jurmala W 1-033.5 1592 1198 79.36% 15.34% 5.30%+2.13 +3.6 27
2014-05-10 @ Ventspils L 0-133.5 1198 1592 5.30% 15.34% 79.36%-2.13 -3.6 8
2014-05-14 Daugavpils W 1-043.3 1156 1239 36.06% 17.07% 46.87%-0.19 +27.0 7
2014-05-14 @ Daugava Riga L 0-143.3 1239 1156 46.87% 17.07% 36.06%+0.19 -27.0 10
2014-05-14 Jelgava W 2-144.1 1374 1310 55.88% 16.97% 27.15%+0.53 +16.0 22
2014-05-14 @ Liepaja L 1-244.1 1310 1374 27.15% 16.97% 55.88%-0.53 -16.0 17
2014-05-14 Skonto L 1-235.6 1013 1530 4.43% 15.09% 80.48%-2.30 -2.8 4
2014-05-14 @ Metta W 2-135.6 1530 1013 80.48% 15.09% 4.43%+2.30 +2.8 24
2014-05-14 Spartaks Jurmala D 3-365.8 1374 1194 67.48% 16.60% 15.92%+1.09 -4.4 16
2014-05-14 @ Daugava D 3-365.8 1194 1374 15.92% 16.60% 67.48%-1.09 +4.4 9
2014-05-14 Ventspils L 0-626.9 1112 1596 5.30% 15.34% 79.36%-2.13 -18.9 5
2014-05-14 @ Jurmala W 6-026.9 1596 1112 79.36% 15.34% 5.30%+2.13 +18.9 30
2014-05-17 Jurmala W 1-032.1 1370 1093 74.07% 16.12% 9.81%+1.56 +6.6 19
2014-05-17 @ Daugava L 0-132.1 1093 1370 9.81% 16.12% 74.07%-1.56 -6.6 5
2014-05-17 Ventspils L 0-428.8 1183 1615 6.97% 15.71% 77.32%-1.88 -17.0 7
2014-05-17 @ Daugava Riga W 4-028.8 1615 1183 77.32% 15.71% 6.97%+1.88 +17.0 33
2014-05-18 Metta D 1-155.8 1212 1010 69.21% 16.51% 14.29%+1.20 -7.7 11
2014-05-18 @ Daugavpils D 1-155.8 1010 1212 14.29% 16.51% 69.21%-1.20 +7.7 5
2014-05-21 Spartaks Jurmala W 1-034.5 1376 1199 67.29% 16.61% 16.09%+1.08 +10.6 22
2014-05-21 @ Daugava L 0-134.5 1199 1376 16.09% 16.61% 67.29%-1.08 -10.6 9
2014-05-23 Jurmala W 3-032.1 1166 1087 57.66% 16.94% 25.40%+0.60 +43.8 10
2014-05-23 @ Daugava Riga L 0-332.1 1087 1166 25.40% 16.94% 57.66%-0.60 -43.8 5
2014-05-24 Daugava D 1-157.2 1294 1387 34.71% 17.06% 48.23%-0.24 +1.7 18
2014-05-24 @ Jelgava D 1-157.2 1387 1294 48.23% 17.06% 34.71%+0.24 -1.7 23
2014-05-24 Liepaja L 0-431.5 1204 1390 23.56% 16.89% 59.55%-0.69 -53.6 11
2014-05-24 @ Daugavpils W 4-031.5 1390 1204 59.55% 16.89% 23.56%+0.69 +53.6 25
2014-05-24 Metta W 2-027.2 1631 1018 84.90% 13.47% 1.63%+3.20 +2.0 36
2014-05-24 @ Ventspils L 0-227.2 1018 1631 1.63% 13.47% 84.90%-3.20 -2.0 5
2014-05-25 Skonto L 0-231.7 1188 1533 10.94% 16.24% 72.82%-1.46 -13.9 9
2014-05-25 @ Spartaks Jurmala W 2-031.7 1533 1188 72.82% 16.24% 10.94%+1.46 +13.9 27
2014-06-01 Daugava L 0-137.3 1210 1385 24.66% 16.92% 58.42%-0.64 -15.6 10
2014-06-01 @ Daugava Riga W 1-037.3 1385 1210 58.42% 16.92% 24.66%+0.64 +15.6 26
2014-06-01 Metta L 0-339.9 1043 1016 51.33% 17.04% 31.63%+0.35 -80.3 5
2014-06-01 @ Jurmala W 3-039.9 1016 1043 31.63% 17.04% 51.33%-0.35 +80.3 8
2014-06-01 Spartaks Jurmala L 1-345.4 1151 1174 44.48% 17.08% 38.44%+0.10 -42.2 11
2014-06-01 @ Daugavpils W 3-145.4 1174 1151 38.44% 17.08% 44.48%-0.10 +42.2 12
2014-06-03 Jelgava D 1-160.5 1546 1296 72.54% 16.26% 11.19%+1.44 -8.7 28
2014-06-03 @ Skonto D 1-160.5 1296 1546 11.19% 16.26% 72.54%-1.44 +8.7 19
2014-06-03 Ventspils W 2-057.2 1444 1634 23.10% 16.88% 60.01%-0.71 +64.0 28
2014-06-03 @ Liepaja L 0-257.2 1634 1444 60.01% 16.88% 23.10%+0.71 -64.1 36
2014-06-06 Jelgava L 0-140.2 1216 1304 35.39% 17.07% 47.55%-0.21 -21.3 12
2014-06-06 @ Spartaks Jurmala W 1-040.2 1304 1216 47.55% 17.07% 35.39%+0.21 +21.3 22
2014-06-10 Daugavpils W 1-033.1 1326 1109 70.30% 16.44% 13.26%+1.27 +8.8 25
2014-06-10 @ Jelgava L 0-133.1 1109 1326 13.26% 16.44% 70.30%-1.27 -8.8 11
2014-06-10 Skonto L 0-440.0 1401 1538 29.10% 17.00% 53.90%-0.45 -64.5 26
2014-06-10 @ Daugava W 4-040.0 1538 1401 53.90% 17.00% 29.10%+0.45 +64.5 31
2014-06-10 Ventspils W 1-054.0 1195 1569 9.39% 16.07% 74.54%-1.60 +42.3 15
2014-06-10 @ Spartaks Jurmala L 0-154.0 1569 1195 74.54% 16.07% 9.39%+1.60 -42.3 36
2014-06-11 Jurmala W 7-024.4 1508 963 83.54% 14.10% 2.36%+2.87 +9.6 31
2014-06-11 @ Liepaja L 0-724.4 963 1508 2.36% 14.10% 83.54%-2.87 -9.6 5
2014-06-11 Metta W 1-036.1 1194 1096 59.78% 16.89% 23.34%+0.70 +14.8 13
2014-06-11 @ Daugava Riga L 0-136.1 1096 1194 23.34% 16.89% 59.78%-0.70 -14.8 8
2014-06-14 Daugava L 0-134.3 1081 1336 17.03% 16.66% 66.31%-1.02 -11.2 8
2014-06-14 @ Metta W 1-034.3 1336 1081 66.31% 16.66% 17.03%+1.02 +11.2 29
2014-06-14 Jelgava D 0-056.6 1527 1335 68.48% 16.55% 14.97%+1.15 -8.3 37
2014-06-14 @ Ventspils D 0-056.6 1335 1527 14.97% 16.55% 68.48%-1.15 +8.3 26
2014-06-14 Skonto L 0-229.3 1100 1602 4.79% 15.20% 80.01%-2.23 -6.1 11
2014-06-14 @ Daugavpils W 2-029.3 1602 1100 80.01% 15.20% 4.79%+2.23 +6.1 34
2014-06-14 Spartaks Jurmala L 0-133.4 953 1237 14.79% 16.54% 68.68%-1.17 -9.8 5
2014-06-14 @ Jurmala W 1-033.4 1237 953 68.68% 16.54% 14.79%+1.17 +9.8 18
2014-06-15 Liepaja W 4-046.8 1209 1517 13.15% 16.43% 70.42%-1.28 +142.8 16
2014-06-15 @ Daugava Riga L 0-446.8 1517 1209 70.42% 16.43% 13.15%+1.28 -142.8 31
2014-06-18 Daugava Riga W 1-044.9 1247 1352 33.16% 17.05% 49.79%-0.29 +28.5 21
2014-06-18 @ Spartaks Jurmala L 0-144.9 1352 1247 49.79% 17.05% 33.16%+0.29 -28.5 16
2014-06-18 Daugavpils W 2-137.6 1348 1094 72.74% 16.25% 11.02%+1.45 +7.0 32
2014-06-18 @ Daugava L 1-237.6 1094 1348 11.02% 16.25% 72.74%-1.45 -7.0 11
2014-06-18 Jurmala W 5-024.6 1343 943 79.55% 15.30% 5.15%+2.16 +15.4 29
2014-06-18 @ Jelgava L 0-524.6 943 1343 5.15% 15.30% 79.55%-2.16 -15.4 5
2014-06-18 Ventspils W 2-048.1 1608 1519 58.81% 16.91% 24.28%+0.65 +29.0 37
2014-06-18 @ Skonto L 0-248.1 1519 1608 24.28% 16.91% 58.81%-0.65 -29.0 37
2014-06-21 Daugava L 0-341.9 1374 1354 50.37% 17.04% 32.59%+0.31 -78.9 31
2014-06-21 @ Liepaja W 3-041.9 1354 1374 32.59% 17.04% 50.37%-0.31 +78.9 35
2014-06-21 Daugava Riga D 1-157.3 1358 1323 52.31% 17.02% 30.67%+0.39 -2.8 30
2014-06-21 @ Jelgava D 1-157.3 1323 1358 30.67% 17.02% 52.31%-0.39 +2.8 17
2014-06-21 Spartaks Jurmala D 2-261.2 1070 1276 21.49% 16.83% 61.67%-0.78 +4.1 9
2014-06-21 @ Metta D 2-261.2 1276 1070 61.67% 16.83% 21.49%+0.78 -4.1 22
2014-06-22 Daugavpils L 0-153.2 1490 1087 79.67% 15.27% 5.05%+2.18 -45.2 37
2014-06-22 @ Ventspils W 1-053.2 1087 1490 5.05% 15.27% 79.67%-2.18 +45.2 14
2014-06-22 Skonto L 0-523.6 928 1637 1.57% 13.41% 85.02%-3.23 -4.6 5
2014-06-22 @ Jurmala W 5-023.6 1637 928 85.02% 13.41% 1.57%+3.23 +4.6 40
2014-06-25 Daugava Riga W 5-138.3 1642 1326 76.11% 15.88% 8.01%+1.75 +16.2 43
2014-06-25 @ Skonto L 1-538.3 1326 1642 8.01% 15.88% 76.11%-1.75 -16.2 17
2014-06-25 Jelgava D 1-156.0 1074 1355 14.99% 16.55% 68.46%-1.15 +7.5 10
2014-06-25 @ Metta D 1-156.0 1355 1074 68.46% 16.55% 14.99%+1.15 -7.5 31
2014-06-25 Jurmala D 1-155.8 1132 923 69.70% 16.48% 13.83%+1.23 -7.8 15
2014-06-25 @ Daugavpils D 1-155.8 923 1132 13.83% 16.48% 69.70%-1.23 +7.8 6
2014-06-25 Liepaja W 2-038.8 1272 1295 44.42% 17.08% 38.50%+0.10 +43.2 25
2014-06-25 @ Spartaks Jurmala L 0-238.8 1295 1272 38.50% 17.08% 44.42%-0.10 -43.2 31
2014-06-25 Ventspils D 1-161.3 1433 1445 46.19% 17.07% 36.74%+0.16 -1.2 36
2014-06-25 @ Daugava D 1-161.3 1445 1433 36.74% 17.07% 46.19%-0.16 +1.2 38
2014-06-28 Metta W 3-134.0 1658 1081 84.20% 13.82% 1.99%+3.02 +2.2 46
2014-06-28 @ Skonto L 1-334.0 1081 1658 1.99% 13.82% 84.20%-3.02 -2.2 10
2014-06-29 Daugava D 0-053.8 1315 1432 31.52% 17.03% 51.44%-0.35 +2.9 26
2014-06-29 @ Spartaks Jurmala D 0-053.8 1432 1315 51.44% 17.03% 31.52%+0.35 -2.9 37
2014-06-29 Daugava Riga L 0-136.3 1124 1310 23.52% 16.89% 59.59%-0.69 -15.0 15
2014-06-29 @ Daugavpils W 1-036.3 1310 1124 59.59% 16.89% 23.52%+0.69 +15.0 20
2014-06-29 Jurmala W 6-126.5 1446 931 82.85% 14.37% 2.78%+2.72 +6.8 41
2014-06-29 @ Ventspils L 1-626.5 931 1446 2.78% 14.37% 82.85%-2.72 -6.8 6
2014-06-29 Liepaja W 3-032.5 1348 1252 59.48% 16.89% 23.63%+0.68 +41.1 34
2014-06-29 @ Jelgava L 0-332.5 1252 1348 23.63% 16.89% 59.48%-0.68 -41.1 31
2014-07-06 Daugavpils D 1-155.6 1079 1109 43.56% 17.08% 39.36%+0.07 -0.5 11
2014-07-06 @ Metta D 1-155.6 1109 1079 39.36% 17.08% 43.56%-0.07 +0.5 16
2014-07-06 Jelgava D 1-157.6 1318 1389 37.66% 17.08% 45.26%-0.13 +1.0 27
2014-07-06 @ Spartaks Jurmala D 1-157.6 1389 1318 45.26% 17.08% 37.66%+0.13 -1.0 35
2014-07-06 Skonto W 3-053.0 1211 1660 6.36% 15.59% 78.06%-1.97 +121.5 34
2014-07-06 @ Liepaja L 0-353.0 1660 1211 78.06% 15.59% 6.36%+1.97 -121.5 46
2014-07-07 Daugava L 2-340.2 924 1429 4.73% 15.18% 80.10%-2.24 -2.9 6
2014-07-07 @ Jurmala W 3-240.2 1429 924 80.10% 15.18% 4.73%+2.24 +2.9 40
2014-07-11 Ventspils L 0-327.6 1079 1453 9.41% 16.07% 74.52%-1.60 -17.4 11
2014-07-11 @ Metta W 3-027.6 1453 1079 74.52% 16.07% 9.41%+1.60 +17.4 44
2014-07-12 Daugavpils W 2-138.2 1333 1110 70.72% 16.41% 12.87%+1.30 +8.1 37
2014-07-12 @ Liepaja L 1-238.2 1110 1333 12.87% 16.41% 70.72%-1.30 -8.1 16
2014-07-13 Daugava W 1-045.6 1388 1432 41.55% 17.09% 41.36%+0.00 +24.3 38
2014-07-13 @ Jelgava L 0-145.6 1432 1388 41.36% 17.09% 41.55%+0.00 -24.3 40
2014-07-13 Daugava Riga L 0-625.9 921 1325 8.07% 15.89% 76.04%-1.75 -28.6 6
2014-07-13 @ Jurmala W 6-025.9 1325 921 76.04% 15.89% 8.07%+1.75 +28.7 23
2014-07-13 Spartaks Jurmala L 0-155.1 1539 1319 70.52% 16.42% 13.06%+1.29 -40.0 46
2014-07-13 @ Skonto W 1-055.1 1319 1539 13.06% 16.42% 70.52%-1.29 +40.0 30
2014-07-23 Liepaja W 2-036.3 1499 1341 65.61% 16.69% 17.70%+0.99 +21.8 49
2014-07-23 @ Skonto L 0-236.3 1341 1499 17.70% 16.69% 65.61%-0.99 -21.8 37
2014-07-26 Jurmala D 1-155.7 1061 893 66.52% 16.65% 16.83%+1.04 -6.9 12
2014-07-26 @ Metta D 1-155.7 893 1061 16.83% 16.65% 66.52%-1.04 +6.9 7
2014-07-27 Daugavpils W 2-029.8 1359 1102 72.93% 16.23% 10.84%+1.47 +13.7 33
2014-07-27 @ Spartaks Jurmala L 0-229.8 1102 1359 10.84% 16.23% 72.93%-1.47 -13.8 16
2014-07-28 Daugava Riga D 2-263.9 1408 1354 54.71% 16.99% 28.30%+0.48 -2.6 41
2014-07-28 @ Daugava D 2-263.9 1354 1408 28.30% 16.99% 54.71%-0.48 +2.6 24
2014-07-28 Liepaja W 1-037.8 1470 1319 64.98% 16.72% 18.30%+0.95 +11.9 47
2014-07-28 @ Ventspils L 0-137.8 1319 1470 18.30% 16.72% 64.98%-0.95 -11.9 37
2014-07-28 Skonto L 0-146.4 1412 1521 32.71% 17.05% 50.24%-0.31 -19.9 38
2014-07-28 @ Jelgava W 1-046.4 1521 1412 50.24% 17.05% 32.71%+0.31 +19.9 52
2014-08-01 Daugava W 1-042.9 1541 1405 63.52% 16.77% 19.71%+0.87 +12.8 55
2014-08-01 @ Skonto L 0-142.9 1405 1541 19.71% 16.77% 63.52%-0.87 -12.8 41
2014-08-01 Metta W 2-028.9 1356 1054 75.42% 15.97% 8.61%+1.68 +11.0 27
2014-08-01 @ Daugava Riga L 0-228.9 1054 1356 8.61% 15.97% 75.42%-1.68 -11.0 12
2014-08-02 Jelgava L 0-230.7 1088 1393 13.37% 16.44% 70.19%-1.26 -16.8 16
2014-08-02 @ Daugavpils W 2-030.7 1393 1088 70.19% 16.44% 13.37%+1.26 +16.8 41
2014-08-03 Liepaja L 0-131.1 900 1307 7.91% 15.87% 76.23%-1.76 -5.4 7
2014-08-03 @ Jurmala W 1-031.1 1307 900 76.23% 15.87% 7.91%+1.76 +5.4 40
2014-08-03 Spartaks Jurmala W 1-040.7 1482 1372 60.95% 16.86% 22.20%+0.75 +14.2 50
2014-08-03 @ Ventspils L 0-140.7 1372 1482 22.20% 16.86% 60.95%-0.75 -14.2 33
2014-08-08 Daugavpils W 2-027.8 1553 1071 82.05% 14.64% 3.31%+2.56 +4.2 58
2014-08-08 @ Skonto L 0-227.8 1071 1553 3.31% 14.64% 82.05%-2.56 -4.2 16
2014-08-08 Ventspils W 1-049.9 1409 1496 35.55% 17.07% 47.38%-0.20 +27.3 44
2014-08-08 @ Jelgava L 0-149.9 1496 1409 47.38% 17.07% 35.55%+0.20 -27.3 50
2014-08-09 Daugava Riga L 1-247.9 1312 1367 40.00% 17.08% 42.91%-0.05 -22.3 40
2014-08-09 @ Liepaja W 2-147.9 1367 1312 42.91% 17.08% 40.00%+0.05 +22.3 30
2014-08-09 Jurmala W 4-129.9 1358 894 81.55% 14.80% 3.65%+2.47 +5.7 36
2014-08-09 @ Spartaks Jurmala L 1-429.9 894 1358 3.65% 14.80% 81.55%-2.47 -5.7 7
2014-08-09 Metta W 2-136.1 1393 1043 77.61% 15.66% 6.73%+1.91 +4.3 44
2014-08-09 @ Daugava L 1-236.1 1043 1393 6.73% 15.66% 77.61%-1.91 -4.3 12
2014-08-13 Daugava L 0-230.1 1067 1397 11.78% 16.32% 71.91%-1.39 -14.9 16
2014-08-13 @ Daugavpils W 2-030.1 1397 1067 71.91% 16.32% 11.78%+1.39 +14.9 47
2014-08-13 Jelgava L 0-227.0 888 1437 3.75% 14.84% 81.41%-2.45 -4.8 7
2014-08-13 @ Jurmala W 2-027.0 1437 888 81.41% 14.84% 3.75%+2.45 +4.8 47
2014-08-13 Liepaja L 0-231.7 1039 1290 17.38% 16.68% 65.94%-1.00 -21.4 12
2014-08-13 @ Metta W 2-031.7 1290 1039 65.94% 16.68% 17.38%+1.00 +21.4 43
2014-08-13 Skonto W 2-159.5 1469 1558 35.29% 17.07% 47.64%-0.21 +25.9 53
2014-08-13 @ Ventspils L 1-259.5 1558 1469 47.64% 17.07% 35.29%+0.21 -25.8 58
2014-08-13 Spartaks Jurmala W 2-146.5 1390 1364 51.12% 17.04% 31.84%+0.34 +18.4 33
2014-08-13 @ Daugava Riga L 1-246.5 1364 1390 31.84% 17.04% 51.12%-0.34 -18.4 36
2014-08-16 Liepaja W 3-141.0 1412 1312 59.95% 16.88% 23.16%+0.70 +24.1 50
2014-08-16 @ Daugava L 1-341.0 1312 1412 23.16% 16.88% 59.95%-0.70 -24.1 43
2014-08-16 Metta W 2-028.5 1346 1018 76.68% 15.80% 7.52%+1.81 +9.6 39
2014-08-16 @ Spartaks Jurmala L 0-228.5 1018 1346 7.52% 15.80% 76.68%-1.81 -9.6 12
2014-08-17 Jelgava L 0-342.3 1408 1441 43.05% 17.08% 39.86%+0.05 -68.8 33
2014-08-17 @ Daugava Riga W 3-042.3 1441 1408 39.86% 17.08% 43.05%-0.05 +68.8 50
2014-08-17 Jurmala W 4-341.5 1532 884 85.50% 13.15% 1.35%+3.37 +0.8 61
2014-08-17 @ Skonto L 3-441.5 884 1532 1.35% 13.15% 85.50%-3.37 -0.8 7
2014-08-17 Ventspils L 0-131.2 1052 1495 6.57% 15.63% 77.79%-1.93 -4.5 16
2014-08-17 @ Daugavpils W 1-031.2 1495 1052 77.79% 15.63% 6.57%+1.93 +4.5 56
2014-08-21 Daugavpils D 1-155.6 883 1047 25.86% 16.95% 57.20%-0.58 +4.2 8
2014-08-21 @ Jurmala D 1-155.6 1047 883 57.20% 16.95% 25.86%+0.58 -4.2 17
2014-08-21 Spartaks Jurmala W 3-039.2 1288 1355 38.19% 17.08% 44.73%-0.11 +71.1 46
2014-08-21 @ Liepaja L 0-339.2 1355 1288 44.73% 17.08% 38.19%+0.11 -71.1 39
2014-08-22 Metta D 1-156.9 1510 1008 82.55% 14.48% 2.97%+2.66 -11.5 51
2014-08-22 @ Jelgava D 1-156.9 1008 1510 2.97% 14.48% 82.55%-2.66 +11.5 13
2014-08-22 Skonto L 1-246.6 1339 1532 22.75% 16.87% 60.38%-0.72 -13.7 33
2014-08-22 @ Daugava Riga W 2-146.6 1532 1339 60.38% 16.87% 22.75%+0.72 +13.7 64
2014-08-22 Ventspils D 1-163.2 1436 1499 38.79% 17.08% 44.13%-0.09 +0.7 51
2014-08-22 @ Daugava D 1-163.2 1499 1436 44.13% 17.08% 38.79%+0.09 -0.7 57
2014-08-26 Daugava D 0-053.4 1284 1436 27.25% 16.97% 55.78%-0.52 +4.2 40
2014-08-26 @ Spartaks Jurmala D 0-053.4 1436 1284 55.78% 16.97% 27.25%+0.52 -4.2 52
2014-08-27 Liepaja W 1-039.8 1499 1359 63.97% 16.76% 19.27%+0.90 +12.5 54
2014-08-27 @ Jelgava L 0-139.8 1359 1499 19.27% 16.76% 63.97%-0.90 -12.5 46
2014-08-27 Skonto L 0-325.9 1020 1546 4.21% 15.01% 80.78%-2.34 -7.8 13
2014-08-27 @ Metta W 3-025.9 1546 1020 80.78% 15.01% 4.21%+2.34 +7.8 67
2014-08-28 Daugavpils W 4-238.6 1325 1043 74.38% 16.09% 9.53%+1.59 +9.4 36
2014-08-28 @ Daugava Riga L 2-438.6 1043 1325 9.53% 16.09% 74.38%-1.59 -9.4 17
2014-08-28 Ventspils L 0-724.3 887 1498 2.67% 14.30% 83.02%-2.75 -10.9 8
2014-08-28 @ Jurmala W 7-024.3 1498 887 83.02% 14.30% 2.67%+2.75 +10.9 60
2014-09-12 Daugava D 1-156.4 876 1432 3.60% 14.77% 81.63%-2.49 +11.3 9
2014-09-12 @ Jurmala D 1-156.4 1432 876 81.63% 14.77% 3.60%+2.49 -11.3 53
2014-09-12 Spartaks Jurmala D 0-055.0 1511 1288 70.71% 16.41% 12.89%+1.30 -9.1 55
2014-09-12 @ Jelgava D 0-055.0 1288 1511 12.89% 16.41% 70.71%-1.30 +9.1 41
2014-09-13 Daugava Riga D 0-056.1 1509 1335 67.02% 16.63% 16.35%+1.07 -7.8 61
2014-09-13 @ Ventspils D 0-056.1 1335 1509 16.35% 16.63% 67.02%-1.07 +7.9 37
2014-09-13 Metta W 4-139.1 1034 1012 50.67% 17.04% 32.29%+0.32 +45.5 20
2014-09-13 @ Daugavpils L 1-439.1 1012 1034 32.29% 17.04% 50.67%-0.32 -45.5 13
2014-09-14 Liepaja L 1-261.4 1554 1346 69.64% 16.48% 13.88%+1.23 -37.2 67
2014-09-14 @ Skonto W 2-161.4 1346 1554 13.88% 16.48% 69.64%-1.23 +37.2 49
2014-09-19 Jurmala W 3-132.5 1343 887 81.30% 14.87% 3.83%+2.43 +4.2 40
2014-09-19 @ Daugava Riga L 1-332.5 887 1343 3.83% 14.87% 81.30%-2.43 -4.2 9
2014-09-20 Daugavpils W 5-026.1 1383 1079 75.52% 15.96% 8.52%+1.69 +25.5 52
2014-09-20 @ Liepaja L 0-526.1 1079 1383 8.52% 15.96% 75.52%-1.69 -25.5 20
2014-09-20 Jelgava W 1-050.2 1421 1502 36.33% 17.07% 46.60%-0.18 +26.9 56
2014-09-20 @ Daugava L 0-150.2 1502 1421 46.60% 17.07% 36.33%+0.18 -26.9 55
2014-09-21 Metta W 2-134.5 1502 966 83.32% 14.19% 2.49%+2.82 +1.6 64
2014-09-21 @ Ventspils L 1-234.5 966 1502 2.49% 14.19% 83.32%-2.82 -1.6 13
2014-09-21 Skonto W 1-051.8 1297 1517 20.19% 16.79% 63.02%-0.85 +35.6 44
2014-09-21 @ Spartaks Jurmala L 0-151.8 1517 1297 63.02% 16.79% 20.19%+0.85 -35.6 67
2014-09-24 Ventspils L 0-337.4 1347 1503 26.81% 16.96% 56.22%-0.54 -46.0 40
2014-09-24 @ Daugava Riga W 3-037.4 1503 1347 56.22% 16.96% 26.81%+0.54 +46.0 67
2014-09-27 Metta W 1-043.0 883 965 36.30% 17.07% 46.63%-0.18 +26.9 12
2014-09-27 @ Jurmala L 0-143.0 965 883 46.63% 17.07% 36.30%+0.18 -26.9 13
2014-09-27 Spartaks Jurmala W 1-049.6 1054 1333 15.18% 16.56% 68.26%-1.14 +38.7 23
2014-09-27 @ Daugavpils L 0-149.6 1333 1054 68.26% 16.56% 15.18%+1.14 -38.7 44
2014-09-28 Daugava L 1-440.4 1301 1448 27.90% 16.98% 55.12%-0.50 -40.1 40
2014-09-28 @ Daugava Riga W 4-140.4 1448 1301 55.12% 16.98% 27.90%+0.50 +40.1 59
2014-09-28 Ventspils D 1-164.0 1409 1549 28.68% 17.00% 54.32%-0.46 +3.4 53
2014-09-28 @ Liepaja D 1-164.0 1549 1409 54.32% 17.00% 28.68%+0.46 -3.4 68
2014-09-29 Jelgava L 0-347.4 1481 1475 48.52% 17.06% 34.42%+0.25 -76.3 67
2014-09-29 @ Skonto W 3-047.4 1475 1481 34.42% 17.06% 48.52%-0.25 +76.3 58
2014-10-03 Daugava Riga L 1-237.8 938 1261 12.19% 16.35% 71.45%-1.35 -7.7 13
2014-10-03 @ Metta W 2-137.8 1261 938 71.45% 16.35% 12.19%+1.35 +7.7 43
2014-10-04 Daugavpils W 2-028.2 1551 1093 81.41% 14.84% 3.75%+2.45 +4.8 61
2014-10-04 @ Jelgava L 0-228.2 1093 1551 3.75% 14.84% 81.41%-2.45 -4.8 23
2014-10-04 Jurmala W 6-024.0 1412 910 82.54% 14.48% 2.98%+2.66 +10.5 56
2014-10-04 @ Liepaja L 0-624.0 910 1412 2.98% 14.48% 82.54%-2.66 -10.5 12
2014-10-04 Skonto L 0-152.6 1488 1405 58.09% 16.93% 24.99%+0.62 -32.9 59
2014-10-04 @ Daugava W 1-052.6 1405 1488 24.99% 16.93% 58.09%-0.62 +32.9 70
2014-10-04 Ventspils L 1-244.0 1294 1546 17.37% 16.68% 65.96%-1.00 -10.7 44
2014-10-04 @ Spartaks Jurmala W 2-144.0 1546 1294 65.96% 16.68% 17.37%+1.00 +10.7 71
2014-10-17 Daugava L 0-129.9 930 1455 4.25% 15.02% 80.73%-2.33 -2.9 13
2014-10-17 @ Metta W 1-029.9 1455 930 80.73% 15.02% 4.25%+2.33 +2.9 62
2014-10-18 Jelgava W 2-051.0 1556 1556 47.73% 17.07% 35.20%+0.22 +40.0 74
2014-10-18 @ Ventspils L 0-251.0 1556 1556 35.20% 17.07% 47.73%-0.22 -40.0 61
2014-10-18 Spartaks Jurmala L 1-236.7 900 1284 8.93% 16.01% 75.05%-1.65 -5.7 12
2014-10-18 @ Jurmala W 2-136.7 1284 900 75.05% 16.01% 8.93%+1.65 +5.7 47
2014-10-19 Skonto W 1-051.3 1088 1438 10.64% 16.21% 73.15%-1.48 +41.5 26
2014-10-19 @ Daugavpils L 0-151.3 1438 1088 73.15% 16.21% 10.64%+1.48 -41.5 70
2014-10-20 Liepaja L 2-445.7 1268 1423 27.05% 16.97% 55.98%-0.53 -24.7 43
2014-10-20 @ Daugava Riga W 4-245.7 1423 1268 55.98% 16.97% 27.05%+0.53 +24.7 59
2014-10-24 Metta W 2-026.6 1447 927 82.98% 14.32% 2.70%+2.75 +3.4 62
2014-10-24 @ Liepaja L 0-226.6 927 1447 2.70% 14.32% 82.98%-2.75 -3.4 13
2014-10-25 Jurmala W 2-133.9 1516 894 85.05% 13.39% 1.55%+3.24 +1.0 64
2014-10-25 @ Jelgava L 1-233.9 894 1516 1.55% 13.39% 85.05%-3.24 -1.0 12
2014-10-25 Ventspils L 2-452.1 1396 1596 22.06% 16.85% 61.09%-0.76 -20.6 70
2014-10-25 @ Skonto W 4-252.1 1596 1396 61.09% 16.85% 22.06%+0.76 +20.6 77
2014-10-26 Daugava Riga W 1-038.4 1289 1244 53.65% 17.01% 29.35%+0.44 +18.2 50
2014-10-26 @ Spartaks Jurmala L 0-138.4 1244 1289 29.35% 17.01% 53.65%-0.44 -18.2 43
2014-10-26 Daugavpils W 5-026.2 1458 1129 76.71% 15.80% 7.49%+1.81 +22.4 65
2014-10-26 @ Daugava L 0-526.2 1129 1458 7.49% 15.80% 76.71%-1.81 -22.4 26
2014-11-01 Daugava W 3-258.5 1451 1480 43.60% 17.08% 39.31%+0.07 +20.8 65
2014-11-01 @ Liepaja L 2-358.5 1480 1451 39.31% 17.08% 43.60%-0.07 -20.8 65
2014-11-01 Daugavpils W 2-028.8 1617 1107 82.74% 14.41% 2.85%+2.70 +3.6 80
2014-11-01 @ Ventspils L 0-228.8 1107 1617 2.85% 14.41% 82.74%-2.70 -3.6 26
2014-11-01 Jelgava L 1-338.6 1226 1517 14.27% 16.51% 69.22%-1.20 -15.5 43
2014-11-01 @ Daugava Riga W 3-138.6 1517 1226 69.22% 16.51% 14.27%+1.20 +15.5 67
2014-11-01 Skonto L 1-726.8 893 1376 5.33% 15.35% 79.33%-2.13 -15.6 12
2014-11-01 @ Jurmala W 7-126.8 1376 893 79.33% 15.35% 5.33%+2.13 +15.6 73
2014-11-01 Spartaks Jurmala W 2-156.5 924 1308 8.94% 16.01% 75.05%-1.65 +40.2 16
2014-11-01 @ Metta L 1-256.5 1308 924 75.05% 16.01% 8.94%+1.65 -40.2 50
2014-11-08 Daugava W 4-041.6 1621 1460 65.88% 16.68% 17.44%+1.00 +40.8 83
2014-11-08 @ Ventspils L 0-441.6 1460 1621 17.44% 16.68% 65.88%-1.00 -40.8 65
2014-11-08 Daugava Riga W 4-135.0 1391 1210 67.56% 16.60% 15.84%+1.10 +24.1 76
2014-11-08 @ Skonto L 1-435.0 1210 1391 15.84% 16.60% 67.56%-1.10 -24.1 43
2014-11-08 Jelgava L 0-325.2 964 1533 3.36% 14.67% 81.97%-2.55 -6.2 16
2014-11-08 @ Metta W 3-025.2 1533 964 81.97% 14.67% 3.36%+2.55 +6.2 70
2014-11-08 Jurmala W 4-239.4 1103 877 70.92% 16.39% 12.69%+1.32 +12.4 29
2014-11-08 @ Daugavpils L 2-439.4 877 1103 12.69% 16.39% 70.92%-1.32 -12.4 12
2014-11-08 Liepaja D 0-053.8 1267 1472 21.65% 16.84% 61.51%-0.78 +6.0 51
2014-11-08 @ Spartaks Jurmala D 0-053.8 1472 1267 61.51% 16.84% 21.65%+0.78 -6.0 66

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 2014-06-22 5.05% Daugavpils 1087 1 @ Ventspils 1490 0
2 2014-07-06 6.36% @ Liepaja 1211 3 Skonto 1660 0
3 2014-11-01 8.94% @ Metta 924 2 Spartaks Jurmala 1308 1
4 2014-06-10 9.39% @ Spartaks Jurmala 1195 1 Ventspils 1569 0
5 2014-10-19 10.64% @ Daugavpils 1088 1 Skonto 1438 0
6 2014-07-13 13.06% Spartaks Jurmala 1319 1 @ Skonto 1539 0
7 2014-06-15 13.15% @ Daugava Riga 1209 4 Liepaja 1517 0
8 2014-09-14 13.88% Liepaja 1346 2 @ Skonto 1554 1
9 2014-09-27 15.18% @ Daugavpils 1054 1 Spartaks Jurmala 1333 0
10 2014-09-21 20.19% @ Spartaks Jurmala 1297 1 Skonto 1517 0
11 2014-04-26 21.99% Spartaks Jurmala 1126 2 @ Daugava Riga 1238 0
12 2014-04-16 22.59% Jelgava 1241 3 @ Liepaja 1347 2
13 2014-04-05 23.00% @ Metta 1138 1 Daugavpils 1329 0
14 2014-06-03 23.10% @ Liepaja 1444 2 Ventspils 1634 0
15 2014-03-30 23.45% Jelgava 1265 2 @ Daugava 1362 1
16 2014-10-04 24.99% Skonto 1405 1 @ Daugava 1488 0
17 2014-04-12 27.07% Jurmala 1108 4 @ Metta 1172 2
18 2014-04-09 28.82% @ Liepaja 1329 1 Skonto 1468 0
19 2014-06-01 31.63% Metta 1016 3 @ Jurmala 1043 0
20 2014-06-21 32.59% Daugava 1354 3 @ Liepaja 1374 0
21 2014-06-18 33.16% @ Spartaks Jurmala 1247 1 Daugava Riga 1352 0
22 2014-09-29 34.42% Jelgava 1475 3 @ Skonto 1481 0
23 2014-08-13 35.29% @ Ventspils 1469 2 Skonto 1558 1
24 2014-08-08 35.55% @ Jelgava 1409 1 Ventspils 1496 0
25 2014-05-14 36.06% @ Daugava Riga 1156 1 Daugavpils 1239 0

Biggest Elo Changes

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

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2014-06-15 142.82 @ Daugava Riga 4 1209 13.15% Liepaja 0 1517 70.42% 16.43%
2 2014-07-06 121.49 @ Liepaja 3 1211 6.36% Skonto 0 1660 78.06% 15.59%
3 2014-06-01 80.28 Metta 3 1016 31.63% @ Jurmala 0 1043 51.33% 17.04%
4 2014-06-21 78.90 Daugava 3 1354 32.59% @ Liepaja 0 1374 50.37% 17.04%
5 2014-09-29 76.31 Jelgava 3 1475 34.42% @ Skonto 0 1481 48.52% 17.06%
6 2014-08-21 71.07 @ Liepaja 3 1288 38.19% Spartaks Jurmala 0 1355 44.73% 17.08%
7 2014-08-17 68.81 Jelgava 3 1441 39.86% @ Daugava Riga 0 1408 43.05% 17.08%
8 2014-04-26 65.25 Spartaks Jurmala 2 1126 21.99% @ Daugava Riga 0 1238 61.16% 16.85%
9 2014-06-10 64.50 Skonto 4 1538 53.90% @ Daugava 0 1401 29.10% 17.00%
10 2014-06-03 64.06 @ Liepaja 2 1444 23.10% Ventspils 0 1634 60.01% 16.88%
11 2014-05-24 53.57 Liepaja 4 1390 59.55% @ Daugavpils 0 1204 23.56% 16.89%
12 2014-04-13 47.31 Skonto 3 1437 55.31% @ Jelgava 0 1289 27.71% 16.98%
13 2014-04-12 46.38 Jurmala 4 1108 27.07% @ Metta 2 1172 55.96% 16.97%
14 2014-09-24 45.97 Ventspils 3 1503 56.22% @ Daugava Riga 0 1347 26.81% 16.96%
15 2014-09-13 45.54 @ Daugavpils 4 1034 50.67% Metta 1 1012 32.29% 17.04%
16 2014-06-22 45.25 Daugavpils 1 1087 5.05% @ Ventspils 0 1490 79.67% 15.27%
17 2014-05-10 44.68 Daugava Riga 2 1111 42.78% @ Metta 0 1057 40.13% 17.08%
18 2014-05-23 43.83 @ Daugava Riga 3 1166 57.66% Jurmala 0 1087 25.40% 16.94%
19 2014-06-25 43.15 @ Spartaks Jurmala 2 1272 44.42% Liepaja 0 1295 38.50% 17.08%
20 2014-06-10 42.34 @ Spartaks Jurmala 1 1195 9.39% Ventspils 0 1569 74.54% 16.07%
21 2014-06-01 42.18 Spartaks Jurmala 3 1174 38.44% @ Daugavpils 1 1151 44.48% 17.08%
22 2014-10-19 41.52 @ Daugavpils 1 1088 10.64% Skonto 0 1438 73.15% 16.21%
23 2014-06-29 41.11 @ Jelgava 3 1348 59.48% Liepaja 0 1252 23.63% 16.89%
24 2014-11-08 40.81 @ Ventspils 4 1621 65.88% Daugava 0 1460 17.44% 16.68%
25 2014-11-01 40.20 @ Metta 2 924 8.94% Spartaks Jurmala 1 1308 75.05% 16.01%

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 2014-05-14 65.8 @ Daugava 3 1374 67.48% Spartaks Jurmala 3 1194 15.92% 16.60%
2 2014-09-28 64.0 @ Liepaja 1 1409 28.68% Ventspils 1 1549 54.32% 17.00%
3 2014-07-28 63.9 @ Daugava 2 1408 54.71% Daugava Riga 2 1354 28.30% 16.99%
4 2014-08-22 63.2 @ Daugava 1 1436 38.79% Ventspils 1 1499 44.13% 17.08%
5 2014-09-14 61.4 Liepaja 2 1346 13.88% @ Skonto 1 1554 69.64% 16.48%
6 2014-06-25 61.3 @ Daugava 1 1433 46.19% Ventspils 1 1445 36.74% 17.07%
7 2014-06-21 61.2 @ Metta 2 1070 21.49% Spartaks Jurmala 2 1276 61.67% 16.83%
8 2014-06-03 60.5 @ Skonto 1 1546 72.54% Jelgava 1 1296 11.19% 16.26%
9 2014-08-13 59.5 @ Ventspils 2 1469 35.29% Skonto 1 1558 47.64% 17.07%
10 2014-11-01 58.5 @ Liepaja 3 1451 43.60% Daugava 2 1480 39.31% 17.08%
11 2014-04-16 58.2 Jelgava 3 1241 22.59% @ Liepaja 2 1347 60.55% 16.87%
12 2014-07-06 57.6 @ Spartaks Jurmala 1 1318 37.66% Jelgava 1 1389 45.26% 17.08%
13 2014-06-21 57.3 @ Jelgava 1 1358 52.31% Daugava Riga 1 1323 30.67% 17.02%
14 2014-05-24 57.2 @ Jelgava 1 1294 34.71% Daugava 1 1387 48.23% 17.06%
15 2014-06-03 57.2 @ Liepaja 2 1444 23.10% Ventspils 0 1634 60.01% 16.88%
16 2014-03-29 57.0 @ Daugavpils 1 1331 48.28% Liepaja 1 1327 34.66% 17.06%
17 2014-08-22 56.9 @ Jelgava 1 1510 82.55% Metta 1 1008 2.97% 14.48%
18 2014-06-14 56.6 @ Ventspils 0 1527 68.48% Jelgava 0 1335 14.97% 16.55%
19 2014-11-01 56.5 @ Metta 2 924 8.94% Spartaks Jurmala 1 1308 75.05% 16.01%
20 2014-09-12 56.4 @ Jurmala 1 876 3.60% Daugava 1 1432 81.63% 14.77%
21 2014-09-13 56.1 @ Ventspils 0 1509 67.02% Daugava Riga 0 1335 16.35% 16.63%
22 2014-06-25 56.0 @ Metta 1 1074 14.99% Jelgava 1 1355 68.46% 16.55%
23 2014-03-29 55.9 @ Jurmala 1 1121 24.87% Daugava Riga 1 1294 58.21% 16.92%
24 2014-05-05 55.9 @ Jelgava 1 1296 72.29% Metta 1 1049 11.42% 16.28%
25 2014-05-18 55.8 @ Daugavpils 1 1212 69.21% Metta 1 1010 14.29% 16.51%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2014-06-22 23.6 Skonto 5 1637 85.02% @ Jurmala 0 928 1.57% 13.41%
2 2014-10-04 24.0 @ Liepaja 6 1412 82.54% Jurmala 0 910 2.98% 14.48%
3 2014-08-28 24.3 Ventspils 7 1498 83.02% @ Jurmala 0 887 2.67% 14.30%
4 2014-06-11 24.4 @ Liepaja 7 1508 83.54% Jurmala 0 963 2.36% 14.10%
5 2014-06-18 24.6 @ Jelgava 5 1343 79.55% Jurmala 0 943 5.15% 15.30%
6 2014-11-08 25.2 Jelgava 3 1533 81.97% @ Metta 0 964 3.36% 14.67%
7 2014-07-13 25.9 Daugava Riga 6 1325 76.04% @ Jurmala 0 921 8.07% 15.89%
8 2014-08-27 25.9 Skonto 3 1546 80.78% @ Metta 0 1020 4.21% 15.01%
9 2014-09-20 26.1 @ Liepaja 5 1383 75.52% Daugavpils 0 1079 8.52% 15.96%
10 2014-10-26 26.2 @ Daugava 5 1458 76.71% Daugavpils 0 1129 7.49% 15.80%
11 2014-06-29 26.5 @ Ventspils 6 1446 82.85% Jurmala 1 931 2.78% 14.37%
12 2014-10-24 26.6 @ Liepaja 2 1447 82.98% Metta 0 927 2.70% 14.32%
13 2014-11-01 26.8 Skonto 7 1376 79.33% @ Jurmala 1 893 5.33% 15.35%
14 2014-05-14 26.9 Ventspils 6 1596 79.36% @ Jurmala 0 1112 5.30% 15.34%
15 2014-08-13 27.0 Jelgava 2 1437 81.41% @ Jurmala 0 888 3.75% 14.84%
16 2014-05-24 27.2 @ Ventspils 2 1631 84.90% Metta 0 1018 1.63% 13.47%
17 2014-07-11 27.6 Ventspils 3 1453 74.52% @ Metta 0 1079 9.41% 16.07%
18 2014-08-08 27.8 @ Skonto 2 1553 82.05% Daugavpils 0 1071 3.31% 14.64%
19 2014-10-04 28.2 @ Jelgava 2 1551 81.41% Daugavpils 0 1093 3.75% 14.84%
20 2014-08-16 28.5 @ Spartaks Jurmala 2 1346 76.68% Metta 0 1018 7.52% 15.80%
21 2014-05-17 28.8 Ventspils 4 1615 77.32% @ Daugava Riga 0 1183 6.97% 15.71%
22 2014-11-01 28.8 @ Ventspils 2 1617 82.74% Daugavpils 0 1107 2.85% 14.41%
23 2014-08-01 28.9 @ Daugava Riga 2 1356 75.42% Metta 0 1054 8.61% 15.97%
24 2014-06-14 29.3 Skonto 2 1602 80.01% @ Daugavpils 0 1100 4.79% 15.20%
25 2014-07-27 29.8 @ Spartaks Jurmala 2 1359 72.93% Daugavpils 0 1102 10.84% 16.23%