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2016 Meistriliiga Season

180 games

Final

Champion

Infonet

80 points · 1st Title

Relegated

No relegation

Biggest Overachiever

Infonet

10.81 points above expected

80 points · 69.19 expected points

Biggest Disappointment

Rakvere Tarvas

16.22 points below expected

3 points · 19.22 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 Infonet Champion 36 24 8 4 80 74 33 +41 69.19 +10.81
2 Levadia 36 24 6 6 78 77 30 +47 74.18 +3.82
3 Nomme Kalju 36 22 9 5 75 70 28 +42 74.68 +0.32
4 Flora 36 21 10 5 73 96 31 +65 76.87 -3.87
5 Sillamae Kalev 36 14 9 13 51 65 55 +10 52.14 -1.14
6 Paide Linnameeskond 36 14 6 16 48 58 61 -3 43.93 +4.07
7 Narva Trans 36 11 8 17 41 60 68 -8 41.83 -0.83
8 Tammeka 36 12 5 19 41 43 65 -22 33.60 +7.40
9 Parnu Linnameeskond 36 5 2 29 17 24 98 -74 22.08 -5.08
10 Rakvere Tarvas 36 0 3 33 3 15 113 -98 19.22 -16.22

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 Infonet 80 69.19 +10.81
2 Tammeka 41 33.60 +7.40
3 Paide Linnameeskond 48 43.93 +4.07
4 Levadia 78 74.18 +3.82
5 Nomme Kalju 75 74.68 +0.32

Biggest Disappointments

# Team Actual Sim vsSim
1 Rakvere Tarvas 3 19.22 -16.22
2 Parnu Linnameeskond 17 22.08 -5.08
3 Flora 73 76.87 -3.87
4 Sillamae Kalev 51 52.14 -1.14
5 Narva Trans 41 41.83 -0.83

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 Parnu Linnameeskond 2 Jul 2 – Jul 10 1 in 126
2 Infonet 10 May 7 – Aug 5 1 in 75
3 Flora 8 Jul 22 – Aug 23 1 in 24
4 Narva Trans 3 Aug 19 – Aug 26 1 in 22
5 Paide Linnameeskond 3 Apr 2 – Apr 9 1 in 15

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Rakvere Tarvas 16 Apr 5 – Aug 5 1 in 619
2 Parnu Linnameeskond 15 Mar 8 – Jun 19 1 in 265
3 Levadia 2 Aug 23 – Aug 26 1 in 18
4 Tammeka 7 Jul 22 – Aug 23 1 in 16
5 Paide Linnameeskond 3 Mar 5 – Mar 12 1 in 8

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Paide Linnameeskond 5 Mar 19 – Apr 16 1 in 35
2 Tammeka 4 Mar 19 – Apr 9 1 in 21
3 Nomme Kalju 13 Mar 12 – May 17 1 in 17
4 Levadia 13 Mar 5 – May 10 1 in 16
5 Infonet 14 Apr 30 – Aug 19 1 in 12

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Rakvere Tarvas 36 Mar 5 – Nov 5 1 in 218
2 Flora 5 Mar 19 – Apr 16 1 in 89
3 Narva Trans 7 Mar 4 – Apr 9 1 in 31
4 Sillamae Kalev 5 Mar 19 – Apr 16 1 in 15
5 Parnu Linnameeskond 15 Mar 8 – Jun 19 1 in 8

Position Race

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

Recent Form

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

Team Elo Season Pts Form Elo Δ (5) Points (5) Expected (5) Actual − Exp
Infonet 1476 80 +29 11 9.3 +1.7
Levadia 1518 78 -6 10 10.6 -0.6
Nomme Kalju 1411 75 -72 9 11.5 -2.5
Flora 1576 73 -1 10 11.7 -1.7
Sillamae Kalev 1265 51 -6 7 6.5 +0.5
Paide Linnameeskond 1222 48 +69 7 4.9 +2.1
Narva Trans 1208 41 +59 8 6.8 +1.2
Tammeka 1072 41 +21 6 4.2 +1.8
Parnu Linnameeskond 829 17 -81 1 4.1 -3.1
Rakvere Tarvas 721 3 -3 1 1.4 -0.4

Head-to-Head

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

Beat expectations Fell short Within expectations
Team FLO INF LEV NT NK PL PL RT SK TAM
Flora —
2-1-1
6.67
1-1-2
5.79
4-0-0
9.48
0-3-1
6.40
3-1-0
8.73
4-0-0
10.41
4-0-0
10.45
2-2-0
8.97
1-2-1
9.61
Infonet
1-1-2
4.56
 —
1-2-1
4.86
3-1-0
8.99
2-1-1
5.01
4-0-0
8.38
4-0-0
10.07
4-0-0
10.31
1-3-0
8.10
4-0-0
9.56
Levadia
2-1-1
5.44
1-2-1
6.37
 —
2-1-1
8.94
2-1-1
5.08
4-0-0
9.40
3-0-1
10.33
4-0-0
10.45
3-0-1
8.73
3-1-0
9.64
Narva Trans
0-0-4
1.82
0-1-3
2.29
1-1-2
2.33
 —
0-1-3
1.94
1-1-2
5.20
4-0-0
8.48
2-2-0
8.74
0-1-3
4.49
3-1-0
7.17
Nomme Kalju
1-3-0
4.83
1-1-2
6.21
1-1-2
6.15
3-1-0
9.35
 —
1-2-1
9.15
3-1-0
10.32
4-0-0
10.40
4-0-0
8.14
4-0-0
9.60
Paide Linnameeskond
0-1-3
2.54
0-0-4
2.88
0-0-4
1.89
2-1-1
6.02
1-2-1
2.13
 —
3-0-1
8.22
4-0-0
8.78
1-2-1
3.99
3-0-1
7.26
Parnu Linnameeskond
0-0-4
0.99
0-0-4
1.30
1-0-3
1.06
0-0-4
2.77
0-1-3
1.07
1-0-3
3.03
 —
3-1-0
6.17
0-0-4
2.02
0-0-4
3.06
Rakvere Tarvas
0-0-4
0.98
0-0-4
1.08
0-0-4
0.97
0-2-2
2.53
0-0-4
1.02
0-0-4
2.50
0-1-3
5.06
 —
0-0-4
1.92
0-0-4
3.55
Sillamae Kalev
0-2-2
2.31
0-3-1
3.14
1-0-3
2.53
3-1-0
6.74
0-0-4
3.11
1-2-1
7.24
4-0-0
9.27
4-0-0
9.39
 —
1-1-2
8.15
Tammeka
1-2-1
1.71
0-0-4
1.75
0-1-3
1.67
0-1-3
4.07
0-0-4
1.72
1-0-3
3.98
4-0-0
8.19
4-0-0
7.69
2-1-1
3.11
 —

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 0.86 +9.9
Allowed 0.99 -8.9
Differential 0.96 +4.9

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
07.22%6.39%4.72%5.00%3.89%3.06%30.28%
16.39%6.67%5.56%3.89%2.78%1.94%27.22%
24.72%5.56%2.78%1.39%1.39%0.28%16.11%
35.00%3.89%1.39%1.67%0.56%—12.50%
43.89%2.78%1.39%0.56%——8.61%
5+3.06%1.94%0.28%———5.28%
Total30.28%27.22%16.11%12.50%8.61%5.28%100%

Summary Statistics

Scored Allowed Difference
Mean 1.62 1.62 +0.00
SD 1.61 1.61 2.60
CV 0.99 0.99 —
Max 7 7 +7
Min 0 0 -7

Games Played: 180

↓ Scored | Allowed →012345+Total
013.89%—2.78%———16.67%
1—8.33%5.56%———13.89%
25.56%5.56%—2.78%——13.89%
313.89%——5.56%2.78%—22.22%
48.33%8.33%2.78%———19.44%
5+8.33%5.56%————13.89%
Total50.00%27.78%11.11%8.33%2.78%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.67 0.86 +1.81
SD 1.87 1.10 2.21
CV 0.70 1.28 —
Max 6 4 +6
Min 0 0 -2

Games Played: 36

↓ Scored | Allowed →012345+Total
011.11%2.78%—2.78%——16.67%
116.67%2.78%5.56%———25.00%
25.56%11.11%8.33%———25.00%
32.78%5.56%2.78%———11.11%
42.78%5.56%2.78%5.56%——16.67%
5+5.56%—————5.56%
Total44.44%27.78%19.44%8.33%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.06 0.92 +1.14
SD 1.57 1.00 1.71
CV 0.76 1.09 —
Max 6 3 +6
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
05.56%2.78%————8.33%
116.67%8.33%2.78%2.78%—2.78%33.33%
28.33%13.89%2.78%5.56%——30.56%
32.78%—————2.78%
416.67%2.78%————19.44%
5+2.78%2.78%————5.56%
Total52.78%30.56%5.56%8.33%—2.78%100%

Summary Statistics

Scored Allowed Difference
Mean 2.14 0.83 +1.31
SD 1.57 1.28 2.20
CV 0.73 1.53 —
Max 7 6 +6
Min 0 0 -5

Games Played: 36

↓ Scored | Allowed →012345+Total
05.56%2.78%5.56%11.11%—5.56%30.56%
15.56%8.33%8.33%2.78%2.78%—27.78%
22.78%—5.56%5.56%——13.89%
3—8.33%—2.78%2.78%—13.89%
42.78%2.78%2.78%———8.33%
5+2.78%2.78%————5.56%
Total19.44%25.00%22.22%22.22%5.56%5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 1.67 1.89 -0.22
SD 1.76 1.49 2.63
CV 1.05 0.79 —
Max 7 6 +6
Min 0 0 -6

Games Played: 36

↓ Scored | Allowed →012345+Total
05.56%2.78%2.78%2.78%——13.89%
111.11%13.89%5.56%———30.56%
213.89%8.33%2.78%———25.00%
311.11%8.33%—2.78%——22.22%
4———————
5+2.78%5.56%————8.33%
Total44.44%38.89%11.11%5.56%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.94 0.78 +1.17
SD 1.51 0.87 1.84
CV 0.78 1.11 —
Max 6 3 +6
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
05.56%8.33%8.33%2.78%8.33%—33.33%
12.78%11.11%—11.11%2.78%2.78%30.56%
22.78%2.78%————5.56%
35.56%2.78%5.56%———13.89%
42.78%5.56%2.78%———11.11%
5+5.56%—————5.56%
Total25.00%30.56%16.67%13.89%11.11%2.78%100%

Summary Statistics

Scored Allowed Difference
Mean 1.61 1.69 -0.08
SD 1.76 1.60 2.80
CV 1.09 0.94 —
Max 7 7 +7
Min 0 0 -6

Games Played: 36

↓ Scored | Allowed →012345+Total
02.78%13.89%11.11%13.89%8.33%5.56%55.56%
12.78%2.78%2.78%5.56%5.56%8.33%27.78%
2—5.56%——2.78%2.78%11.11%
32.78%2.78%————5.56%
4———————
5+———————
Total8.33%25.00%13.89%19.44%16.67%16.67%100%

Summary Statistics

Scored Allowed Difference
Mean 0.67 2.72 -2.06
SD 0.89 1.83 2.11
CV 1.34 0.67 —
Max 3 7 +3
Min 0 0 -6

Games Played: 36

↓ Scored | Allowed →012345+Total
0—19.44%5.56%8.33%11.11%19.44%63.89%
1—5.56%8.33%8.33%5.56%2.78%30.56%
2——2.78%—2.78%—5.56%
3———————
4———————
5+———————
Total—25.00%16.67%16.67%19.44%22.22%100%

Summary Statistics

Scored Allowed Difference
Mean 0.42 3.14 -2.72
SD 0.60 1.79 1.95
CV 1.45 0.57 —
Max 2 7 +0
Min 0 1 -7

Games Played: 36

↓ Scored | Allowed →012345+Total
013.89%2.78%5.56%—2.78%—25.00%
12.78%2.78%11.11%5.56%2.78%—25.00%
22.78%2.78%2.78%—5.56%—13.89%
38.33%5.56%2.78%5.56%——22.22%
42.78%2.78%2.78%———8.33%
5+—2.78%2.78%———5.56%
Total30.56%19.44%27.78%11.11%11.11%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.81 1.53 +0.28
SD 1.53 1.34 2.05
CV 0.85 0.88 —
Max 5 4 +4
Min 0 0 -4

Games Played: 36

↓ Scored | Allowed →012345+Total
08.33%8.33%5.56%8.33%8.33%—38.89%
15.56%2.78%5.56%2.78%8.33%2.78%27.78%
25.56%5.56%2.78%—2.78%—16.67%
32.78%5.56%2.78%———11.11%
42.78%—————2.78%
5+2.78%—————2.78%
Total27.78%22.22%16.67%11.11%19.44%2.78%100%

Summary Statistics

Scored Allowed Difference
Mean 1.19 1.81 -0.61
SD 1.31 1.58 2.37
CV 1.09 0.88 —
Max 5 5 +5
Min 0 0 -4

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
Flora 1576 73 76.87 -3.87 27.0% 57 64 73 77 81 87 97
Levadia 1518 78 74.18 +3.82 74.0% 57 61 70 74 79 86 94
Infonet 1476 80 69.19 +10.81 98.0% 55 58 65 69 74 79 87
Nomme Kalju 1411 75 74.68 +0.32 59.0% 51 61 70 75 80 86 94
Sillamae Kalev 1265 51 52.14 -1.14 43.0% 37 40 49 52 57 61 69
Paide Linnameeskond 1222 48 43.93 +4.07 74.0% 28 33 39 44 49 55 57
Narva Trans 1208 41 41.83 -0.83 44.0% 20 30 37 42 46 53 58
Tammeka 1072 41 33.60 +7.40 91.0% 17 24 30 33 37 43 50
Parnu Linnameeskond 829 17 22.08 -5.08 22.0% 8 14 18 22 25 31 40
Rakvere Tarvas 721 3 19.22 -16.22 0.0% 6 11 16 20 22 27 32

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 1% * Slight Edge: 1% to 4.5% * Clear Edge: 4.5% to 7.5% * Strong Edge: 7.5% 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
+11.67%
Strong Edge
46.67%18.33%35.00%
Elo Value
Home Edge: 40.72 Elo pts.
185 Elo
0.005 goals per Elo point
0500
Scoring Tilt
Expected
+0.33 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 0.1 * Tight Race: 0.1 to 0.19 * Comfortable: 0.19 to 0.38 * Runaway: 0.38 and up.
Title-Race Openness
3.2
Open
123410
Champion Preseason Odds
7%
Infonet, 4th of 10
LongshotFavorite
Title Margin
Expected
0.06/gm
Photo Finish
00.160.5/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 5.26 * Some Luck: 5.26 to 7.89 * Lucky: 7.89 to 10.51 * Wild Swing: 10.51 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 0.55 * Close: 0.55 to 0.82 * Off: 0.82 to 1.1 * Way Off: 1.1 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
7.13 points
Some Luck
06.5716
Average Finish Error
Expected
0.80
Close
00.691.5
Biggest Overachiever
Expected 95.00%
98.00%
Infonet
50100
Biggest Underachiever
Expected 5.00%
0.00%
Rakvere Tarvas
050
Season Outliers
Expected
2 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 0.27 * Even: 0.27 to 0.29 * Top-Heavy: 0.29 to 0.31 * Lopsided: 0.31 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 2.7 * Moderate Separation: 2.7 to 3 * Strong Separation: 3 to 3.3 * Wide Separation: 3.3 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 87.5% * Slight Edge: 87.5% to 91% * Clear Edge: 91% to 93.5% * Wide Edge: 93.5% 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 98% * Clear Edge: 98% to 99% * Strong Edge: 99% to 99.5% * Dominant: 99.5% 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 43% * Some Drama: 43% to 46% * Frequent: 46% to 50.5% * Very Frequent: 50.5% 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 28.5% * Occasional: 28.5% to 34% * Frequent: 34% to 39.5% * Very Frequent: 39.5% and up.
Gini Index
0.27
Even
00.270.5
Noll-Scully
Elo SD: 287.16
3.22
Strong Separation
12.733.33.75
Interquartile Edge
88%
Slight Edge
50%87.5%100%
Best vs. Worst
Baseline 100%
99%
Strong Edge
50%100%
Close Games
Expected
46%
Frequent
0%43%100%
Blowouts
Expected
34%
Occasional
0%34%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 0.54 * Slight Separation: 0.54 to 0.58 * Notable Separation: 0.58 to 0.63 * Lopsided: 0.63 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 0.7 * Some Carryover: 0.7 to 0.84 * Strong Carryover: 0.84 to 0.9 * Near-Lock: 0.9 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 12% * As Expected: 12% to 15% * Upset-Prone: 15% to 19% * Very Upset-Prone: 19% 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 9% * As Expected: 9% to 11% * Shaky Favorites: 11% to 16% * Very Shaky: 16% and up.
Brier Score
Expected
0.44
Highly Predictable
00.482
Matchup Imbalance
0.59
Notable Separation
00.5
Strangeness
Expected
1.73
Chaotic
01.002
Repeatability
0.71
Some Carryover
00.70.841
Upset Rate
Expected
13%
As Expected
0%16%50%
Clear Favorite Upset Rate
Expected
9%
As Expected
0%13%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 0.16 * Above Noise: 0.16 to 0.21 * Well Above Noise: 0.21 and up.
Probability calibration
0.37
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
1.24
Underconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.093
Well Within Noise
00.1050.25

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
Infonet7.00%14.00%29.00%46.00%4.00%—————
Levadia27.00%25.00%32.00%16.00%——————
Nomme Kalju25.00%26.00%27.00%20.00%1.00%1.00%————
Flora41.00%35.00%11.00%13.00%——————
Sillamae Kalev——1.00%3.00%71.00%21.00%4.00%———
Paide Linnameeskond———1.00%15.00%39.00%37.00%8.00%——
Narva Trans———1.00%8.00%31.00%46.00%11.00%2.00%1.00%
Tammeka————1.00%7.00%13.00%70.00%6.00%3.00%
Parnu Linnameeskond—————1.00%—9.00%54.00%36.00%
Rakvere Tarvas———————2.00%38.00%60.00%

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
Flora 100% — —
Infonet 100% — —
Levadia 100% — —
Nomme Kalju 100% — —
Paide Linnameeskond 100% — —
Sillamae Kalev 100% — —
Narva Trans 97.00% 2.00% 1.00%
Tammeka 91.00% 6.00% 3.00%
Parnu Linnameeskond 10.00% 54.00% 36.00%
Rakvere Tarvas 2.00% 38.00% 60.00%

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
2016-03-04 Narva Trans D 2-259.5 994 1189 21.46% 19.03% 59.51%-0.84 +3.1 1
2016-03-04 @ Tammeka D 2-259.5 1189 994 59.51% 19.03% 21.46%+0.84 -3.1 1
2016-03-05 Flora D 0-054.7 1408 1419 44.89% 19.42% 35.69%+0.17 -1.1 1
2016-03-05 @ Levadia D 0-054.7 1419 1408 35.69% 19.42% 44.89%-0.17 +1.0 1
2016-03-05 Rakvere Tarvas W 3-042.4 1025 1182 25.46% 19.21% 55.33%-0.63 +70.2 3
2016-03-05 @ Parnu Linnameeskond L 0-342.4 1182 1025 55.33% 19.21% 25.46%+0.63 -70.2 0
2016-03-05 Sillamae Kalev W 2-036.7 1361 1291 55.16% 19.21% 25.62%+0.60 +25.2 3
2016-03-05 @ Nomme Kalju L 0-236.7 1291 1361 25.62% 19.21% 55.16%-0.60 -25.1 0
2016-03-05 Infonet L 0-235.7 1138 1291 26.04% 19.23% 54.73%-0.60 -25.5 0
2016-03-05 @ Paide Linnameeskond W 2-035.7 1291 1138 54.73% 19.23% 26.04%+0.60 +25.5 3
2016-03-08 Paide Linnameeskond W 2-042.8 997 1113 30.36% 19.35% 50.30%-0.41 +44.3 4
2016-03-08 @ Tammeka L 0-242.8 1113 997 50.30% 19.35% 30.36%+0.41 -44.3 0
2016-03-08 Parnu Linnameeskond W 1-032.2 1407 1095 74.73% 17.34% 7.93%+1.91 +4.5 4
2016-03-08 @ Levadia L 0-132.2 1095 1407 7.93% 17.34% 74.73%-1.91 -4.5 3
2016-03-08 Rakvere Tarvas W 6-026.9 1420 1112 74.49% 17.39% 8.12%+1.89 +23.9 4
2016-03-08 @ Flora L 0-626.9 1112 1420 8.12% 17.39% 74.49%-1.89 -23.9 0
2016-03-08 Sillamae Kalev D 3-364.0 1186 1266 35.09% 19.42% 45.50%-0.21 +0.7 2
2016-03-08 @ Narva Trans D 3-364.0 1266 1186 45.50% 19.42% 35.09%+0.21 -0.7 1
2016-03-09 Nomme Kalju W 2-149.9 1316 1386 36.41% 19.43% 44.16%-0.16 +19.8 6
2016-03-09 @ Infonet L 1-249.9 1386 1316 44.16% 19.43% 36.41%+0.16 -19.8 3
2016-03-12 Levadia L 0-133.1 1069 1412 10.49% 17.91% 71.60%-1.64 -5.9 0
2016-03-12 @ Paide Linnameeskond W 1-033.1 1412 1069 71.60% 17.91% 10.49%+1.64 +5.9 7
2016-03-12 Narva Trans W 3-029.7 1444 1187 71.57% 17.91% 10.51%+1.61 +16.1 7
2016-03-12 @ Flora L 0-329.7 1187 1444 10.51% 17.91% 71.57%-1.61 -16.1 2
2016-03-12 Parnu Linnameeskond W 4-135.5 1265 1090 65.61% 18.62% 15.78%+1.17 +20.0 4
2016-03-12 @ Sillamae Kalev L 1-435.5 1090 1265 15.78% 18.62% 65.61%-1.17 -20.0 3
2016-03-12 Rakvere Tarvas W 3-135.5 1367 1088 72.88% 17.70% 9.42%+1.73 +8.6 6
2016-03-12 @ Nomme Kalju L 1-335.5 1088 1367 9.42% 17.70% 72.88%-1.73 -8.6 0
2016-03-12 Tammeka W 4-026.9 1336 1041 73.80% 17.53% 8.67%+1.82 +17.4 9
2016-03-12 @ Infonet L 0-426.9 1041 1336 8.67% 17.53% 73.80%-1.82 -17.4 4
2016-03-18 Levadia D 1-155.3 1171 1418 16.84% 18.71% 64.45%-1.12 +5.3 3
2016-03-18 @ Narva Trans D 1-155.3 1418 1171 64.45% 18.71% 16.84%+1.12 -5.3 8
2016-03-19 Flora W 2-046.0 1375 1460 34.48% 19.41% 46.11%-0.24 +41.0 9
2016-03-19 @ Nomme Kalju L 0-246.0 1460 1375 46.11% 19.41% 34.48%+0.24 -41.0 7
2016-03-19 Paide Linnameeskond D 1-154.7 1285 1063 69.29% 18.23% 12.48%+1.43 -6.5 5
2016-03-19 @ Sillamae Kalev D 1-154.7 1063 1285 12.48% 18.23% 69.29%-1.43 +6.5 1
2016-03-19 Rakvere Tarvas W 3-145.6 1024 1079 38.44% 19.44% 42.12%-0.08 +33.0 7
2016-03-19 @ Tammeka L 1-345.6 1079 1024 42.12% 19.44% 38.44%+0.08 -33.0 0
2016-03-19 Infonet L 0-231.9 1071 1353 14.17% 18.44% 67.39%-1.31 -14.7 3
2016-03-19 @ Parnu Linnameeskond W 2-031.9 1353 1071 67.39% 18.44% 14.17%+1.31 +14.7 12
2016-04-01 Flora D 1-157.6 1368 1419 39.18% 19.44% 41.38%-0.05 +0.2 13
2016-04-01 @ Infonet D 1-157.6 1419 1368 41.38% 19.44% 39.18%+0.05 -0.2 8
2016-04-01 Sillamae Kalev W 4-043.3 1057 1279 18.95% 18.88% 62.17%-0.98 +102.7 10
2016-04-01 @ Tammeka L 0-443.3 1279 1057 62.17% 18.88% 18.95%+0.98 -102.6 5
2016-04-02 Nomme Kalju D 1-158.5 1412 1416 45.76% 19.41% 34.83%+0.20 -1.1 9
2016-04-02 @ Levadia D 1-158.5 1416 1412 34.83% 19.41% 45.76%-0.20 +1.1 10
2016-04-02 Parnu Linnameeskond W 4-034.5 1069 1056 48.09% 19.38% 32.53%+0.29 +58.4 4
2016-04-02 @ Paide Linnameeskond L 0-434.5 1056 1069 32.53% 19.38% 48.09%-0.29 -58.4 3
2016-04-02 Rakvere Tarvas D 2-259.6 1176 1046 61.50% 18.92% 19.59%+0.92 -3.4 4
2016-04-02 @ Narva Trans D 2-259.6 1046 1176 19.59% 18.92% 61.50%-0.92 +3.4 1
2016-04-04 Infonet D 2-260.1 1176 1368 21.79% 19.05% 59.16%-0.82 +3.0 6
2016-04-04 @ Sillamae Kalev D 2-260.1 1368 1176 59.16% 19.05% 21.79%+0.82 -3.0 14
2016-04-04 Tammeka D 0-051.7 1418 1159 71.72% 17.89% 10.39%+1.62 -7.9 9
2016-04-04 @ Flora D 0-051.7 1159 1418 10.39% 17.89% 71.72%-1.62 +7.9 11
2016-04-05 Nomme Kalju L 0-131.7 997 1417 7.10% 17.10% 75.81%-2.05 -4.0 3
2016-04-05 @ Parnu Linnameeskond W 1-031.7 1417 997 75.81% 17.10% 7.10%+2.05 +4.0 13
2016-04-05 Paide Linnameeskond L 2-355.4 1172 1128 52.13% 19.30% 28.57%+0.46 -21.7 4
2016-04-05 @ Narva Trans W 3-255.4 1128 1172 28.57% 19.30% 52.13%-0.46 +21.7 7
2016-04-05 Rakvere Tarvas W 2-029.1 1411 1050 77.05% 16.78% 6.17%+2.18 +6.5 12
2016-04-05 @ Levadia L 0-229.1 1050 1411 6.17% 16.78% 77.05%-2.18 -6.5 1
2016-04-08 Sillamae Kalev D 0-051.7 1411 1179 69.90% 18.15% 11.95%+1.47 -7.4 10
2016-04-08 @ Flora D 0-051.7 1179 1411 11.95% 18.15% 69.90%-1.47 +7.4 7
2016-04-09 Narva Trans W 6-027.7 1421 1151 72.41% 17.78% 9.81%+1.69 +28.8 16
2016-04-09 @ Nomme Kalju L 0-627.7 1151 1421 9.81% 17.78% 72.41%-1.69 -28.8 4
2016-04-09 Paide Linnameeskond L 0-533.9 1043 1149 31.66% 19.37% 48.97%-0.35 -70.4 1
2016-04-09 @ Rakvere Tarvas W 5-033.9 1149 1043 48.97% 19.37% 31.66%+0.35 +70.4 10
2016-04-09 Infonet W 1-041.5 1418 1365 53.07% 19.28% 27.65%+0.50 +14.2 15
2016-04-09 @ Levadia L 0-141.5 1365 1418 27.65% 19.28% 53.07%-0.50 -14.2 14
2016-04-09 Tammeka L 0-137.0 993 1167 23.69% 19.14% 57.17%-0.72 -12.5 3
2016-04-09 @ Parnu Linnameeskond W 1-037.0 1167 993 57.17% 19.14% 23.69%+0.72 +12.5 14
2016-04-15 Nomme Kalju L 0-331.2 1180 1450 15.03% 18.54% 66.43%-1.25 -22.6 14
2016-04-15 @ Tammeka W 3-031.2 1450 1180 66.43% 18.54% 15.03%+1.25 +22.6 19
2016-04-16 Flora D 1-155.4 1220 1403 22.67% 19.09% 58.24%-0.77 +3.9 11
2016-04-16 @ Paide Linnameeskond D 1-155.4 1403 1220 58.24% 19.09% 22.67%+0.77 -3.9 11
2016-04-16 Levadia L 0-233.7 1187 1432 16.98% 18.72% 64.30%-1.11 -17.4 7
2016-04-16 @ Sillamae Kalev W 2-033.7 1432 1187 64.30% 18.72% 16.98%+1.11 +17.4 18
2016-04-16 Parnu Linnameeskond W 4-030.1 1122 981 62.61% 18.85% 18.55%+0.98 +35.8 7
2016-04-16 @ Narva Trans L 0-430.1 981 1122 18.55% 18.85% 62.61%-0.98 -35.9 3
2016-04-16 Rakvere Tarvas W 4-131.8 1351 973 77.76% 16.58% 5.66%+2.27 +7.3 17
2016-04-16 @ Infonet L 1-431.8 973 1351 5.66% 16.58% 77.76%-2.27 -7.3 1
2016-04-22 Flora L 0-326.9 945 1399 5.95% 16.70% 77.35%-2.24 -9.1 3
2016-04-22 @ Parnu Linnameeskond W 3-026.9 1399 945 77.35% 16.70% 5.95%+2.24 +9.1 14
2016-04-22 Tammeka D 1-155.8 1449 1157 73.67% 17.55% 8.78%+1.80 -7.5 19
2016-04-22 @ Levadia D 1-155.8 1157 1449 8.78% 17.55% 73.67%-1.80 +7.5 15
2016-04-23 Paide Linnameeskond W 1-034.7 1473 1224 71.09% 17.99% 10.93%+1.57 +6.1 22
2016-04-23 @ Nomme Kalju L 0-134.7 1224 1473 10.93% 17.99% 71.09%-1.57 -6.1 11
2016-04-23 Rakvere Tarvas W 1-033.8 1169 966 67.89% 18.39% 13.72%+1.32 +7.6 10
2016-04-23 @ Sillamae Kalev L 0-133.8 966 1169 13.72% 18.39% 67.89%-1.32 -7.6 1
2016-04-23 Infonet L 0-332.5 1158 1358 20.97% 19.00% 60.03%-0.87 -30.6 7
2016-04-23 @ Narva Trans W 3-032.5 1358 1158 60.03% 19.00% 20.97%+0.87 +30.6 20
2016-04-26 Levadia L 1-252.1 1408 1442 41.63% 19.44% 38.93%+0.04 -18.8 14
2016-04-26 @ Flora W 2-152.1 1442 1408 38.93% 19.44% 41.63%-0.04 +18.8 22
2016-04-26 Infonet W 2-147.1 1479 1389 57.40% 19.13% 23.47%+0.71 +11.6 25
2016-04-26 @ Nomme Kalju L 1-247.1 1389 1479 23.47% 19.13% 57.40%-0.71 -11.7 20
2016-04-29 Levadia L 1-435.6 1164 1461 13.25% 18.33% 68.42%-1.38 -17.0 15
2016-04-29 @ Tammeka W 4-135.6 1461 1164 68.42% 18.33% 13.25%+1.38 +17.0 25
2016-04-29 Narva Trans L 0-137.2 958 1127 24.18% 19.16% 56.66%-0.70 -12.7 1
2016-04-29 @ Rakvere Tarvas W 1-037.2 1127 958 56.66% 19.16% 24.18%+0.70 +12.7 10
2016-04-29 Parnu Linnameeskond W 6-024.6 1390 936 80.57% 15.61% 3.82%+2.68 +11.1 17
2016-04-29 @ Flora L 0-624.6 936 1390 3.82% 15.61% 80.57%-2.68 -11.0 3
2016-04-30 Nomme Kalju D 1-156.5 1217 1491 14.85% 18.52% 66.63%-1.26 +5.8 12
2016-04-30 @ Paide Linnameeskond D 1-156.5 1491 1217 66.63% 18.52% 14.85%+1.26 -5.8 26
2016-04-30 Sillamae Kalev D 0-051.4 1377 1177 67.67% 18.42% 13.92%+1.31 -6.8 21
2016-04-30 @ Infonet D 0-051.4 1177 1377 13.92% 18.42% 67.67%-1.31 +6.8 11
2016-05-06 Narva Trans L 0-135.7 925 1140 19.61% 18.92% 61.47%-0.94 -10.5 3
2016-05-06 @ Parnu Linnameeskond W 1-035.7 1140 925 61.47% 18.92% 19.61%+0.94 +10.5 13
2016-05-06 Paide Linnameeskond W 2-033.3 1401 1223 65.82% 18.60% 15.58%+1.18 +16.1 20
2016-05-06 @ Flora L 0-233.3 1223 1401 15.58% 18.60% 65.82%-1.18 -16.1 12
2016-05-07 Sillamae Kalev W 2-138.2 1478 1184 73.76% 17.54% 8.71%+1.81 +4.6 28
2016-05-07 @ Levadia L 1-238.2 1184 1478 8.71% 17.54% 73.76%-1.81 -4.6 11
2016-05-07 Infonet L 0-131.5 945 1371 6.91% 17.04% 76.05%-2.08 -3.9 1
2016-05-07 @ Rakvere Tarvas W 1-031.5 1371 945 76.05% 17.04% 6.91%+2.08 +3.9 24
2016-05-07 Tammeka W 2-030.3 1485 1147 75.95% 17.06% 6.98%+2.05 +7.4 29
2016-05-07 @ Nomme Kalju L 0-230.3 1147 1485 6.98% 17.06% 75.95%-2.05 -7.4 15
2016-05-10 Narva Trans W 1-032.6 1482 1150 75.70% 17.12% 7.18%+2.02 +4.0 31
2016-05-10 @ Levadia L 0-132.6 1150 1482 7.18% 17.12% 75.70%-2.02 -4.0 13
2016-05-10 Nomme Kalju D 0-057.1 1417 1492 35.72% 19.42% 44.86%-0.19 +1.0 21
2016-05-10 @ Flora D 0-057.1 1492 1417 44.86% 19.42% 35.72%+0.19 -1.0 30
2016-05-10 Infonet L 1-438.9 1207 1374 24.38% 19.17% 56.45%-0.69 -29.5 12
2016-05-10 @ Paide Linnameeskond W 4-138.9 1374 1207 56.45% 19.17% 24.38%+0.69 +29.5 27
2016-05-13 Flora L 2-443.1 1179 1418 17.52% 18.77% 63.72%-1.07 -13.9 11
2016-05-13 @ Sillamae Kalev W 4-243.1 1418 1179 63.72% 18.77% 17.52%+1.07 +13.9 24
2016-05-13 Parnu Linnameeskond W 2-138.0 1140 914 69.51% 18.20% 12.29%+1.44 +6.4 18
2016-05-13 @ Tammeka L 1-238.0 914 1140 12.29% 18.20% 69.51%-1.44 -6.4 3
2016-05-13 Rakvere Tarvas W 4-240.3 1178 941 70.22% 18.11% 11.67%+1.50 +9.5 15
2016-05-13 @ Paide Linnameeskond L 2-440.3 941 1178 11.67% 18.11% 70.22%-1.50 -9.5 1
2016-05-14 Levadia W 3-259.5 1404 1486 34.75% 19.41% 45.84%-0.23 +19.4 30
2016-05-14 @ Infonet L 2-359.5 1486 1404 45.84% 19.41% 34.75%+0.23 -19.4 31
2016-05-14 Nomme Kalju D 1-155.9 1146 1491 10.41% 17.89% 71.70%-1.65 +7.0 14
2016-05-14 @ Narva Trans D 1-155.9 1491 1146 71.70% 17.89% 10.41%+1.65 -7.0 31
2016-05-16 Tammeka D 0-051.8 1432 1146 73.26% 17.63% 9.11%+1.76 -8.3 25
2016-05-16 @ Flora D 0-051.8 1146 1432 9.11% 17.63% 73.26%-1.76 +8.3 19
2016-05-17 Levadia L 0-425.0 932 1467 3.91% 15.67% 80.42%-2.68 -7.7 1
2016-05-17 @ Rakvere Tarvas W 4-025.0 1467 932 80.42% 15.67% 3.91%+2.68 +7.7 34
2016-05-17 Narva Trans W 2-138.0 1423 1153 72.37% 17.79% 9.85%+1.68 +5.2 33
2016-05-17 @ Infonet L 1-238.0 1153 1423 9.85% 17.79% 72.37%-1.68 -5.2 14
2016-05-17 Paide Linnameeskond D 0-050.6 1165 1187 43.24% 19.43% 37.33%+0.10 -0.7 12
2016-05-17 @ Sillamae Kalev D 0-050.6 1187 1165 37.33% 19.43% 43.24%-0.10 +0.7 16
2016-05-17 Parnu Linnameeskond W 3-025.0 1484 908 84.08% 13.91% 2.01%+3.34 +2.9 34
2016-05-17 @ Nomme Kalju L 0-325.0 908 1484 2.01% 13.91% 84.08%-3.34 -2.9 3
2016-05-23 Infonet L 1-239.7 1155 1428 14.81% 18.52% 66.67%-1.26 -7.7 19
2016-05-23 @ Tammeka W 2-139.7 1428 1155 66.67% 18.52% 14.81%+1.26 +7.7 36
2016-05-24 Flora L 1-239.6 1148 1423 14.70% 18.50% 66.80%-1.27 -7.6 14
2016-05-24 @ Narva Trans W 2-139.6 1423 1148 66.80% 18.50% 14.70%+1.27 +7.6 28
2016-05-24 Levadia L 0-152.9 1487 1475 47.94% 19.39% 32.67%+0.29 -22.5 34
2016-05-24 @ Nomme Kalju W 1-052.9 1475 1487 32.67% 19.39% 47.94%-0.29 +22.5 37
2016-05-24 Paide Linnameeskond L 0-329.8 905 1188 14.16% 18.44% 67.39%-1.31 -21.4 3
2016-05-24 @ Parnu Linnameeskond W 3-029.8 1188 905 67.39% 18.44% 14.16%+1.31 +21.4 19
2016-05-24 Sillamae Kalev L 0-330.9 924 1164 17.42% 18.76% 63.82%-1.08 -25.9 1
2016-05-24 @ Rakvere Tarvas W 3-030.9 1164 924 63.82% 18.76% 17.42%+1.08 +25.9 15
2016-06-09 Sillamae Kalev L 0-231.2 884 1190 12.59% 18.24% 69.16%-1.44 -13.2 3
2016-06-09 @ Parnu Linnameeskond W 2-031.2 1190 884 69.16% 18.24% 12.59%+1.44 +13.2 18
2016-06-09 Tammeka L 0-134.8 898 1147 16.71% 18.70% 64.59%-1.13 -9.1 1
2016-06-09 @ Rakvere Tarvas W 1-034.8 1147 898 64.59% 18.70% 16.71%+1.13 +9.1 22
2016-06-19 Flora L 0-524.5 889 1431 3.78% 15.58% 80.64%-2.71 -9.2 1
2016-06-19 @ Rakvere Tarvas W 5-024.5 1431 889 80.64% 15.58% 3.78%+2.71 +9.2 31
2016-06-19 Nomme Kalju L 1-338.9 1203 1464 15.75% 18.61% 65.64%-1.19 -14.1 18
2016-06-19 @ Sillamae Kalev W 3-138.9 1464 1203 65.64% 18.61% 15.75%+1.19 +14.1 37
2016-06-19 Paide Linnameeskond W 4-028.8 1497 1209 73.42% 17.60% 8.98%+1.78 +18.0 40
2016-06-19 @ Levadia L 0-428.8 1209 1497 8.98% 17.60% 73.42%-1.78 -18.0 19
2016-06-19 Parnu Linnameeskond W 3-132.0 1436 870 83.82% 14.06% 2.12%+3.28 +1.9 39
2016-06-19 @ Infonet L 1-332.0 870 1436 2.12% 14.06% 83.82%-3.28 -1.9 3
2016-06-19 Tammeka W 4-141.8 1141 1156 44.14% 19.43% 36.43%+0.14 +41.4 17
2016-06-19 @ Narva Trans L 1-441.8 1156 1141 36.43% 19.43% 44.14%-0.14 -41.4 22
2016-07-01 Sillamae Kalev D 0-050.5 1115 1189 35.83% 19.42% 44.75%-0.18 +1.0 23
2016-07-01 @ Tammeka D 0-050.5 1189 1115 44.75% 19.42% 35.83%+0.18 -1.0 19
2016-07-02 Narva Trans W 3-249.8 1191 1182 47.54% 19.39% 33.07%+0.27 +14.8 22
2016-07-02 @ Paide Linnameeskond L 2-349.8 1182 1191 33.07% 19.39% 47.54%-0.27 -14.8 17
2016-07-02 Parnu Linnameeskond L 1-249.0 880 869 47.84% 19.39% 32.77%+0.28 -21.2 1
2016-07-02 @ Rakvere Tarvas W 2-149.0 869 880 32.77% 19.39% 47.84%-0.28 +21.2 6
2016-07-08 Narva Trans W 3-035.4 1188 1167 49.12% 19.37% 31.52%+0.34 +43.6 22
2016-07-08 @ Sillamae Kalev L 0-335.4 1167 1188 31.52% 19.37% 49.12%-0.34 -43.6 17
2016-07-09 Tammeka W 3-032.9 1206 1116 57.43% 19.13% 23.44%+0.71 +33.8 25
2016-07-09 @ Paide Linnameeskond L 0-332.9 1116 1206 23.44% 19.13% 57.43%-0.71 -33.8 23
2016-07-10 Flora W 4-359.0 1438 1440 45.99% 19.41% 34.60%+0.21 +15.0 42
2016-07-10 @ Infonet L 3-459.0 1440 1438 34.60% 19.41% 45.99%-0.21 -15.0 31
2016-07-10 Levadia W 1-053.7 890 1515 2.43% 14.43% 83.14%-3.17 +37.6 9
2016-07-10 @ Parnu Linnameeskond L 0-153.7 1515 890 83.14% 14.43% 2.43%+3.17 -37.6 40
2016-07-10 Nomme Kalju L 1-627.0 859 1479 2.51% 14.51% 82.98%-3.13 -5.0 1
2016-07-10 @ Rakvere Tarvas W 6-127.0 1479 859 82.98% 14.51% 2.51%+3.13 +5.0 40
2016-07-15 Rakvere Tarvas W 4-025.6 1232 854 77.76% 16.58% 5.66%+2.27 +11.3 25
2016-07-15 @ Sillamae Kalev L 0-425.6 854 1232 5.66% 16.58% 77.76%-2.27 -11.3 1
2016-07-16 Paide Linnameeskond W 3-148.1 1124 1240 30.35% 19.35% 50.30%-0.41 +38.4 20
2016-07-16 @ Narva Trans L 1-348.1 1240 1124 50.30% 19.35% 30.35%+0.41 -38.4 25
2016-07-16 Parnu Linnameeskond W 2-032.7 1082 927 63.86% 18.76% 17.38%+1.06 +17.8 26
2016-07-16 @ Tammeka L 0-232.7 927 1082 17.38% 18.76% 63.86%-1.06 -17.8 9
2016-07-22 Flora L 0-428.3 1100 1425 11.47% 18.08% 70.45%-1.54 -22.9 26
2016-07-22 @ Tammeka W 4-028.3 1425 1100 70.45% 18.08% 11.47%+1.54 +22.9 34
2016-07-23 Rakvere Tarvas W 6-023.3 1453 843 84.90% 13.42% 1.68%+3.53 +4.6 45
2016-07-23 @ Infonet L 0-623.3 843 1453 1.68% 13.42% 84.90%-3.53 -4.6 1
2016-07-23 Sillamae Kalev L 1-343.6 1162 1243 34.91% 19.42% 45.67%-0.22 -28.3 20
2016-07-23 @ Narva Trans W 3-143.6 1243 1162 45.67% 19.42% 34.91%+0.22 +28.3 28
2016-07-24 Paide Linnameeskond W 7-130.8 1478 1201 72.74% 17.72% 9.54%+1.72 +23.1 43
2016-07-24 @ Levadia L 1-730.8 1201 1478 9.54% 17.72% 72.74%-1.72 -23.1 25
2016-07-24 Parnu Linnameeskond D 0-052.3 1484 910 84.02% 13.94% 2.03%+3.33 -10.6 41
2016-07-24 @ Nomme Kalju D 0-052.3 910 1484 2.03% 13.94% 84.02%-3.33 +10.6 10
2016-07-29 Flora L 0-331.2 1178 1448 15.10% 18.55% 66.36%-1.24 -22.7 25
2016-07-29 @ Paide Linnameeskond W 3-031.2 1448 1178 66.36% 18.55% 15.10%+1.24 +22.7 37
2016-07-29 Levadia L 0-424.6 920 1501 3.08% 15.05% 81.86%-2.92 -6.0 10
2016-07-29 @ Parnu Linnameeskond W 4-024.6 1501 920 81.86% 15.05% 3.08%+2.92 +6.0 46
2016-07-30 Narva Trans W 4-345.4 1458 1134 75.31% 17.21% 7.48%+1.97 +3.7 48
2016-07-30 @ Infonet L 3-445.4 1134 1458 7.48% 17.21% 75.31%-1.97 -3.7 20
2016-07-30 Tammeka W 5-133.1 1272 1077 67.20% 18.46% 14.33%+1.27 +23.6 31
2016-07-30 @ Sillamae Kalev L 1-533.1 1077 1272 14.33% 18.46% 67.20%-1.27 -23.6 26
2016-08-01 Levadia W 6-148.6 1471 1507 41.27% 19.44% 39.28%+0.03 +69.6 40
2016-08-01 @ Flora L 1-648.6 1507 1471 39.28% 19.44% 41.27%-0.03 -69.6 46
2016-08-05 Rakvere Tarvas W 2-142.1 914 838 55.86% 19.19% 24.95%+0.63 +12.3 13
2016-08-05 @ Parnu Linnameeskond L 1-242.1 838 914 24.95% 19.19% 55.86%-0.63 -12.3 1
2016-08-05 Infonet L 0-132.1 1053 1461 7.55% 17.23% 75.22%-1.99 -4.2 26
2016-08-05 @ Tammeka W 1-032.1 1461 1053 75.22% 17.23% 7.55%+1.99 +4.2 51
2016-08-06 Narva Trans W 4-132.8 1540 1130 79.04% 16.17% 4.79%+2.44 +6.1 43
2016-08-06 @ Flora L 1-432.8 1130 1540 4.79% 16.17% 79.04%-2.44 -6.2 20
2016-08-06 Sillamae Kalev W 2-142.4 1437 1295 62.71% 18.84% 18.45%+0.99 +9.4 49
2016-08-06 @ Levadia L 1-242.4 1295 1437 18.45% 18.84% 62.71%-0.99 -9.4 31
2016-08-07 Paide Linnameeskond D 1-156.0 1473 1156 74.97% 17.29% 7.74%+1.94 -7.8 42
2016-08-07 @ Nomme Kalju D 1-156.0 1156 1473 7.74% 17.29% 74.97%-1.94 +7.8 26
2016-08-12 Nomme Kalju L 0-139.5 1286 1465 23.09% 19.11% 57.80%-0.75 -12.2 31
2016-08-12 @ Sillamae Kalev W 1-039.5 1465 1286 57.80% 19.11% 23.09%+0.75 +12.2 45
2016-08-12 Parnu Linnameeskond W 3-024.8 1547 926 85.13% 13.28% 1.59%+3.58 +2.3 46
2016-08-12 @ Flora L 0-324.8 926 1547 1.59% 13.28% 85.13%-3.58 -2.3 13
2016-08-12 Rakvere Tarvas D 1-154.8 1124 826 73.98% 17.49% 8.53%+1.84 -7.6 21
2016-08-12 @ Narva Trans D 1-154.8 826 1124 8.53% 17.49% 73.98%-1.84 +7.6 2
2016-08-13 Levadia D 0-057.2 1466 1447 48.83% 19.37% 31.80%+0.32 -2.0 52
2016-08-13 @ Infonet D 0-057.2 1447 1466 31.80% 19.37% 48.83%-0.32 +2.0 50
2016-08-13 Tammeka W 3-139.1 1163 1049 59.99% 19.00% 21.01%+0.84 +18.3 29
2016-08-13 @ Paide Linnameeskond L 1-339.1 1049 1163 21.01% 19.00% 59.99%-0.84 -18.3 26
2016-08-15 Narva Trans W 2-029.7 1477 1116 77.03% 16.79% 6.18%+2.18 +6.5 48
2016-08-15 @ Nomme Kalju L 0-229.7 1116 1477 6.18% 16.79% 77.03%-2.18 -6.5 21
2016-08-16 Flora L 1-429.6 833 1549 1.51% 13.14% 85.34%-3.65 -1.8 2
2016-08-16 @ Rakvere Tarvas W 4-129.6 1549 833 85.34% 13.14% 1.51%+3.65 +1.8 49
2016-08-16 Levadia L 1-236.5 1031 1449 7.18% 17.12% 75.70%-2.04 -3.8 26
2016-08-16 @ Tammeka W 2-136.5 1449 1031 75.70% 17.12% 7.18%+2.04 +3.8 53
2016-08-16 Sillamae Kalev L 1-343.3 1182 1273 33.51% 19.40% 47.09%-0.28 -27.3 29
2016-08-16 @ Paide Linnameeskond W 3-143.3 1273 1182 47.09% 19.40% 33.51%+0.28 +27.3 34
2016-08-16 Infonet L 0-524.6 924 1464 3.82% 15.61% 80.57%-2.70 -9.3 13
2016-08-16 @ Parnu Linnameeskond W 5-024.6 1464 924 80.57% 15.61% 3.82%+2.70 +9.3 55
2016-08-19 Flora L 1-440.5 1301 1551 16.62% 18.69% 64.69%-1.13 -20.9 34
2016-08-19 @ Sillamae Kalev W 4-140.5 1551 1301 64.69% 18.69% 16.62%+1.13 +20.9 52
2016-08-19 Paide Linnameeskond W 1-032.8 1473 1154 75.03% 17.27% 7.69%+1.94 +4.3 58
2016-08-19 @ Infonet L 0-132.8 1154 1473 7.69% 17.27% 75.03%-1.94 -4.3 29
2016-08-19 Parnu Linnameeskond W 3-136.9 1110 915 67.24% 18.46% 14.30%+1.28 +12.9 24
2016-08-19 @ Narva Trans L 1-336.9 915 1110 14.30% 18.46% 67.24%-1.28 -12.9 13
2016-08-20 Rakvere Tarvas W 4-023.4 1452 831 85.14% 13.27% 1.59%+3.58 +3.0 56
2016-08-20 @ Levadia L 0-423.4 831 1452 1.59% 13.27% 85.14%-3.58 -3.0 2
2016-08-20 Tammeka W 3-026.3 1484 1027 80.67% 15.57% 3.76%+2.69 +5.7 51
2016-08-20 @ Nomme Kalju L 0-326.3 1027 1484 3.76% 15.57% 80.67%-2.69 -5.7 26
2016-08-22 Sillamae Kalev L 2-536.2 902 1280 8.80% 17.56% 73.64%-1.83 -9.9 13
2016-08-22 @ Parnu Linnameeskond W 5-236.2 1280 902 73.64% 17.56% 8.80%+1.83 +9.9 37
2016-08-23 Narva Trans L 0-237.4 1021 1123 32.26% 19.38% 48.36%-0.33 -30.6 26
2016-08-23 @ Tammeka W 2-037.4 1123 1021 48.36% 19.38% 32.26%+0.33 +30.6 27
2016-08-23 Nomme Kalju L 1-255.1 1455 1489 41.54% 19.44% 39.02%+0.04 -18.8 56
2016-08-23 @ Levadia W 2-155.1 1489 1455 39.02% 19.44% 41.54%-0.04 +18.8 54
2016-08-23 Rakvere Tarvas W 7-026.4 1150 828 75.19% 17.24% 7.57%+1.96 +25.8 32
2016-08-23 @ Paide Linnameeskond L 0-726.4 828 1150 7.57% 17.24% 75.19%-1.96 -25.8 2
2016-08-23 Infonet W 3-044.4 1572 1477 57.90% 19.11% 23.00%+0.73 +33.2 55
2016-08-23 @ Flora L 0-344.4 1477 1572 23.00% 19.11% 57.90%-0.73 -33.2 58
2016-08-26 Levadia W 3-153.7 1153 1437 14.13% 18.44% 67.43%-1.31 +50.8 30
2016-08-26 @ Narva Trans L 1-353.7 1437 1153 67.43% 18.44% 14.13%+1.31 -50.8 56
2016-08-26 Tammeka L 1-339.4 803 991 22.19% 19.07% 58.74%-0.80 -19.2 2
2016-08-26 @ Rakvere Tarvas W 3-139.4 991 803 58.74% 19.07% 22.19%+0.80 +19.2 29
2016-08-27 Flora D 3-377.6 1508 1605 32.87% 19.39% 47.74%-0.30 +1.0 55
2016-08-27 @ Nomme Kalju D 3-377.6 1605 1508 47.74% 19.39% 32.87%+0.30 -1.0 56
2016-08-27 Paide Linnameeskond W 3-152.8 892 1176 14.10% 18.44% 67.47%-1.32 +50.8 16
2016-08-27 @ Parnu Linnameeskond L 1-352.8 1176 892 67.47% 18.44% 14.10%+1.32 -50.8 32
2016-08-27 Infonet D 0-052.9 1290 1444 25.82% 19.22% 54.96%-0.61 +3.5 38
2016-08-27 @ Sillamae Kalev D 0-052.9 1444 1290 54.96% 19.22% 25.82%+0.61 -3.5 59
2016-09-09 Parnu Linnameeskond W 4-135.1 1125 943 66.21% 18.56% 15.23%+1.21 +19.3 35
2016-09-09 @ Paide Linnameeskond L 1-435.1 943 1125 15.23% 18.56% 66.21%-1.21 -19.3 16
2016-09-09 Rakvere Tarvas W 5-027.7 1010 783 69.57% 18.19% 12.24%+1.45 +30.0 32
2016-09-09 @ Tammeka L 0-527.7 783 1010 12.24% 18.19% 69.57%-1.45 -30.0 2
2016-09-10 Narva Trans W 5-029.6 1386 1204 66.18% 18.56% 15.26%+1.20 +36.9 59
2016-09-10 @ Levadia L 0-529.6 1204 1386 15.26% 18.56% 66.18%-1.20 -37.0 30
2016-09-10 Nomme Kalju D 1-168.3 1604 1509 57.92% 19.11% 22.97%+0.73 -3.8 57
2016-09-10 @ Flora D 1-168.3 1509 1604 22.97% 19.11% 57.92%-0.73 +3.8 56
2016-09-10 Sillamae Kalev W 4-244.7 1440 1293 63.19% 18.81% 18.01%+1.02 +14.2 62
2016-09-10 @ Infonet L 2-444.7 1293 1440 18.01% 18.81% 63.19%-1.02 -14.2 38
2016-09-12 Paide Linnameeskond L 0-131.9 753 1144 8.24% 17.42% 74.34%-1.90 -4.6 2
2016-09-12 @ Rakvere Tarvas W 1-031.9 1144 753 74.34% 17.42% 8.24%+1.90 +4.6 38
2016-09-13 Levadia L 0-350.6 1513 1423 57.45% 19.13% 23.43%+0.71 -72.8 56
2016-09-13 @ Nomme Kalju W 3-050.6 1423 1513 23.43% 19.13% 57.45%-0.71 +72.8 62
2016-09-13 Parnu Linnameeskond W 4-238.3 1279 924 76.79% 16.85% 6.36%+2.15 +5.2 41
2016-09-13 @ Sillamae Kalev L 2-438.3 924 1279 6.36% 16.85% 76.79%-2.15 -5.2 16
2016-09-13 Infonet W 2-152.0 1600 1455 63.02% 18.82% 18.16%+1.01 +9.3 60
2016-09-13 @ Flora L 1-252.0 1455 1600 18.16% 18.82% 63.02%-1.01 -9.3 62
2016-09-13 Tammeka W 4-243.0 1167 1040 61.27% 18.93% 19.80%+0.91 +15.5 33
2016-09-13 @ Narva Trans L 2-443.0 1040 1167 19.80% 18.93% 61.27%-0.91 -15.5 32
2016-09-16 Flora W 3-264.2 1024 1609 3.01% 14.99% 81.99%-2.95 +33.3 35
2016-09-16 @ Tammeka L 2-364.2 1609 1024 81.99% 14.99% 3.01%+2.95 -33.3 60
2016-09-17 Levadia L 0-428.6 1149 1495 10.32% 17.88% 71.81%-1.66 -20.7 38
2016-09-17 @ Paide Linnameeskond W 4-028.6 1495 1149 71.81% 17.88% 10.32%+1.66 +20.6 65
2016-09-17 Narva Trans W 2-141.6 1284 1183 58.66% 19.07% 22.27%+0.77 +11.1 44
2016-09-17 @ Sillamae Kalev L 1-241.6 1183 1284 22.27% 19.07% 58.66%-0.77 -11.1 33
2016-09-17 Nomme Kalju L 1-529.3 918 1440 4.19% 15.84% 79.97%-2.61 -6.9 16
2016-09-17 @ Parnu Linnameeskond W 5-129.3 1440 918 79.97% 15.84% 4.19%+2.61 +6.9 59
2016-09-17 Infonet L 0-128.7 749 1445 1.67% 13.42% 84.91%-3.55 -0.9 2
2016-09-17 @ Rakvere Tarvas W 1-028.7 1445 749 84.91% 13.42% 1.67%+3.55 +0.9 65
2016-09-23 Parnu Linnameeskond W 1-029.4 1446 911 83.01% 14.50% 2.50%+3.12 +1.4 68
2016-09-23 @ Infonet L 0-129.4 911 1446 2.50% 14.50% 83.01%-3.12 -1.4 16
2016-09-23 Rakvere Tarvas W 4-022.3 1576 748 89.13% 10.34% 0.52%+4.70 +0.9 63
2016-09-23 @ Flora L 0-422.3 748 1576 0.52% 10.34% 89.13%-4.70 -0.9 2
2016-09-24 Nomme Kalju L 0-331.0 1171 1447 14.67% 18.50% 66.83%-1.27 -22.1 33
2016-09-24 @ Narva Trans W 3-031.0 1447 1171 66.83% 18.50% 14.67%+1.27 +22.1 62
2016-09-24 Sillamae Kalev W 2-151.8 1128 1295 24.40% 19.17% 56.43%-0.68 +24.6 41
2016-09-24 @ Paide Linnameeskond L 1-251.8 1295 1128 56.43% 19.17% 24.40%+0.68 -24.6 44
2016-09-24 Tammeka W 4-025.5 1516 1058 80.72% 15.55% 3.73%+2.70 +7.4 68
2016-09-24 @ Levadia L 0-425.5 1058 1516 3.73% 15.55% 80.72%-2.70 -7.4 35
2016-09-27 Nomme Kalju D 2-266.4 1448 1469 43.31% 19.43% 37.26%+0.10 -0.5 69
2016-09-27 @ Infonet D 2-266.4 1469 1448 37.26% 19.43% 43.31%-0.10 +0.5 63
2016-09-30 Paide Linnameeskond L 1-440.5 1050 1153 32.10% 19.38% 48.52%-0.33 -37.3 35
2016-09-30 @ Tammeka W 4-140.5 1153 1050 48.52% 19.38% 32.10%+0.33 +37.3 44
2016-10-01 Flora L 1-626.9 910 1577 1.96% 13.84% 84.20%-3.39 -3.8 16
2016-10-01 @ Parnu Linnameeskond W 6-126.9 1577 910 84.20% 13.84% 1.96%+3.39 +3.8 66
2016-10-01 Narva Trans L 0-626.2 747 1149 7.77% 17.30% 74.94%-1.96 -22.9 2
2016-10-01 @ Rakvere Tarvas W 6-026.2 1149 747 74.94% 17.30% 7.77%+1.96 +22.9 36
2016-10-01 Sillamae Kalev W 3-139.3 1470 1271 67.55% 18.43% 14.02%+1.30 +12.6 66
2016-10-01 @ Nomme Kalju L 1-339.3 1271 1470 14.02% 18.43% 67.55%-1.30 -12.6 44
2016-10-01 Infonet D 2-268.4 1523 1447 55.87% 19.19% 24.94%+0.63 -2.5 69
2016-10-01 @ Levadia D 2-268.4 1447 1523 24.94% 19.19% 55.87%-0.63 +2.5 70
2016-10-14 Tammeka W 1-030.5 1450 1013 79.98% 15.84% 4.18%+2.58 +2.3 73
2016-10-14 @ Infonet L 0-130.5 1013 1450 4.18% 15.84% 79.98%-2.58 -2.3 35
2016-10-15 Flora L 0-232.0 1172 1581 7.52% 17.23% 75.25%-1.99 -8.0 36
2016-10-15 @ Narva Trans W 2-032.0 1581 1172 75.25% 17.23% 7.52%+1.99 +8.0 69
2016-10-15 Levadia W 3-262.4 1258 1521 15.60% 18.60% 65.80%-1.20 +27.2 47
2016-10-15 @ Sillamae Kalev L 2-362.4 1521 1258 65.80% 18.60% 15.60%+1.20 -27.2 69
2016-10-15 Nomme Kalju W 2-049.4 1190 1482 13.53% 18.37% 68.10%-1.36 +59.3 47
2016-10-15 @ Paide Linnameeskond L 0-249.4 1482 1190 68.10% 18.37% 13.53%+1.36 -59.3 66
2016-10-15 Rakvere Tarvas D 1-154.5 906 724 66.21% 18.56% 15.23%+1.21 -5.7 17
2016-10-15 @ Parnu Linnameeskond D 1-154.5 724 906 15.23% 18.56% 66.21%-1.21 +5.7 3
2016-10-21 Infonet D 0-051.8 1164 1452 13.82% 18.40% 67.77%-1.34 +6.8 37
2016-10-21 @ Narva Trans D 0-051.8 1452 1164 67.77% 18.40% 13.82%+1.34 -6.8 74
2016-10-22 Paide Linnameeskond W 4-030.7 1589 1249 76.05% 17.04% 6.91%+2.06 +13.9 72
2016-10-22 @ Flora L 0-430.7 1249 1589 6.91% 17.04% 76.05%-2.06 -13.9 47
2016-10-22 Parnu Linnameeskond W 2-026.7 1494 901 84.50% 13.67% 1.84%+3.43 +1.8 72
2016-10-22 @ Levadia L 0-226.7 901 1494 1.84% 13.67% 84.50%-3.43 -1.8 17
2016-10-22 Rakvere Tarvas W 2-025.9 1423 730 86.69% 12.23% 1.08%+3.97 +1.0 69
2016-10-22 @ Nomme Kalju L 0-225.9 730 1423 1.08% 12.23% 86.69%-3.97 -1.1 3
2016-10-22 Tammeka L 1-256.1 1285 1011 72.63% 17.74% 9.63%+1.71 -31.6 47
2016-10-22 @ Sillamae Kalev W 2-156.1 1011 1285 9.63% 17.74% 72.63%-1.71 +31.6 38
2016-10-25 Nomme Kalju L 1-233.4 729 1424 1.68% 13.44% 84.88%-3.54 -0.8 3
2016-10-25 @ Rakvere Tarvas W 2-133.4 1424 729 84.88% 13.44% 1.68%+3.54 +0.8 72
2016-10-28 Paide Linnameeskond W 3-138.2 1445 1236 68.35% 18.34% 13.31%+1.36 +12.0 77
2016-10-28 @ Infonet L 1-338.2 1236 1445 13.31% 18.34% 68.35%-1.36 -12.0 47
2016-10-29 Levadia L 0-128.3 728 1496 1.15% 12.40% 86.46%-3.94 -0.6 3
2016-10-29 @ Rakvere Tarvas W 1-028.3 1496 728 86.46% 12.40% 1.15%+3.94 +0.6 75
2016-10-29 Narva Trans L 1-731.0 899 1171 14.91% 18.53% 66.57%-1.25 -35.4 17
2016-10-29 @ Parnu Linnameeskond W 7-131.0 1171 899 66.57% 18.53% 14.91%+1.25 +35.4 40
2016-10-29 Nomme Kalju L 0-132.4 1042 1425 8.59% 17.51% 73.90%-1.85 -4.8 38
2016-10-29 @ Tammeka W 1-032.4 1425 1042 73.90% 17.51% 8.59%+1.85 +4.8 75
2016-10-29 Sillamae Kalev D 3-369.5 1603 1254 76.50% 16.93% 6.57%+2.11 -5.0 73
2016-10-29 @ Flora D 3-369.5 1254 1603 6.57% 16.93% 76.50%-2.11 +5.1 48
2016-11-05 Flora W 2-162.6 1496 1598 32.25% 19.38% 48.37%-0.33 +21.4 78
2016-11-05 @ Levadia L 1-262.6 1598 1496 48.37% 19.38% 32.25%+0.33 -21.4 73
2016-11-05 Narva Trans D 0-050.7 1224 1206 48.58% 19.38% 32.05%+0.31 -1.9 48
2016-11-05 @ Paide Linnameeskond D 0-050.7 1206 1224 32.05% 19.38% 48.58%-0.31 +1.9 41
2016-11-05 Sillamae Kalev L 0-325.9 727 1259 3.99% 15.72% 80.29%-2.66 -6.0 3
2016-11-05 @ Rakvere Tarvas W 3-025.9 1259 727 80.29% 15.72% 3.99%+2.66 +6.0 51
2016-11-05 Infonet L 1-253.4 1430 1457 42.50% 19.44% 38.07%+0.07 -19.2 75
2016-11-05 @ Nomme Kalju W 2-153.4 1457 1430 38.07% 19.44% 42.50%-0.07 +19.2 80
2016-11-05 Tammeka L 0-332.8 863 1038 23.62% 19.14% 57.24%-0.72 -34.0 17
2016-11-05 @ Parnu Linnameeskond W 3-032.8 1038 863 57.24% 19.14% 23.62%+0.72 +34.0 41

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 2016-07-10 2.43% @ Parnu Linnameeskond 890 1 Levadia 1515 0
2 2016-09-16 3.01% @ Tammeka 1024 3 Flora 1609 2
3 2016-10-22 9.63% Tammeka 1011 2 @ Sillamae Kalev 1285 1
4 2016-10-15 13.53% @ Paide Linnameeskond 1190 2 Nomme Kalju 1482 0
5 2016-08-27 14.10% @ Parnu Linnameeskond 892 3 Paide Linnameeskond 1176 1
6 2016-08-26 14.13% @ Narva Trans 1153 3 Levadia 1437 1
7 2016-10-15 15.60% @ Sillamae Kalev 1258 3 Levadia 1521 2
8 2016-04-01 18.95% @ Tammeka 1057 4 Sillamae Kalev 1279 0
9 2016-09-13 23.43% Levadia 1423 3 @ Nomme Kalju 1513 0
10 2016-09-24 24.40% @ Paide Linnameeskond 1128 2 Sillamae Kalev 1295 1
11 2016-03-05 25.46% @ Parnu Linnameeskond 1025 3 Rakvere Tarvas 1182 0
12 2016-04-05 28.57% Paide Linnameeskond 1128 3 @ Narva Trans 1172 2
13 2016-07-16 30.35% @ Narva Trans 1124 3 Paide Linnameeskond 1240 1
14 2016-03-08 30.36% @ Tammeka 997 2 Paide Linnameeskond 1113 0
15 2016-11-05 32.25% @ Levadia 1496 2 Flora 1598 1
16 2016-05-24 32.67% Levadia 1475 1 @ Nomme Kalju 1487 0
17 2016-07-02 32.77% Parnu Linnameeskond 869 2 @ Rakvere Tarvas 880 1
18 2016-03-19 34.48% @ Nomme Kalju 1375 2 Flora 1460 0
19 2016-05-14 34.75% @ Infonet 1404 3 Levadia 1486 2
20 2016-03-09 36.41% @ Infonet 1316 2 Nomme Kalju 1386 1
21 2016-11-05 38.07% Infonet 1457 2 @ Nomme Kalju 1430 1
22 2016-03-19 38.44% @ Tammeka 1024 3 Rakvere Tarvas 1079 1
23 2016-04-26 38.93% Levadia 1442 2 @ Flora 1408 1
24 2016-08-23 39.02% Nomme Kalju 1489 2 @ Levadia 1455 1

Biggest Elo Changes

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

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2016-04-01 102.65 @ Tammeka 4 1057 18.95% Sillamae Kalev 0 1279 62.17% 18.88%
2 2016-09-13 72.77 Levadia 3 1423 23.43% @ Nomme Kalju 0 1513 57.45% 19.13%
3 2016-04-09 70.40 Paide Linnameeskond 5 1149 48.97% @ Rakvere Tarvas 0 1043 31.66% 19.37%
4 2016-03-05 70.23 @ Parnu Linnameeskond 3 1025 25.46% Rakvere Tarvas 0 1182 55.33% 19.21%
5 2016-08-01 69.62 @ Flora 6 1471 41.27% Levadia 1 1507 39.28% 19.44%
6 2016-10-15 59.26 @ Paide Linnameeskond 2 1190 13.53% Nomme Kalju 0 1482 68.10% 18.37%
7 2016-04-02 58.43 @ Paide Linnameeskond 4 1069 48.09% Parnu Linnameeskond 0 1056 32.53% 19.38%
8 2016-08-27 50.84 @ Parnu Linnameeskond 3 892 14.10% Paide Linnameeskond 1 1176 67.47% 18.44%
9 2016-08-26 50.81 @ Narva Trans 3 1153 14.13% Levadia 1 1437 67.43% 18.44%
10 2016-03-08 44.31 @ Tammeka 2 997 30.36% Paide Linnameeskond 0 1113 50.30% 19.35%
11 2016-07-08 43.56 @ Sillamae Kalev 3 1188 49.12% Narva Trans 0 1167 31.52% 19.37%
12 2016-06-19 41.41 @ Narva Trans 4 1141 44.14% Tammeka 1 1156 36.43% 19.43%
13 2016-03-19 41.05 @ Nomme Kalju 2 1375 34.48% Flora 0 1460 46.11% 19.41%
14 2016-07-16 38.38 @ Narva Trans 3 1124 30.35% Paide Linnameeskond 1 1240 50.30% 19.35%
15 2016-07-10 37.60 @ Parnu Linnameeskond 1 890 2.43% Levadia 0 1515 83.14% 14.43%
16 2016-09-30 37.30 Paide Linnameeskond 4 1153 48.52% @ Tammeka 1 1050 32.10% 19.38%
17 2016-09-10 36.95 @ Levadia 5 1386 66.18% Narva Trans 0 1204 15.26% 18.56%
18 2016-04-16 35.85 @ Narva Trans 4 1122 62.61% Parnu Linnameeskond 0 981 18.55% 18.85%
19 2016-10-29 35.42 Narva Trans 7 1171 66.57% @ Parnu Linnameeskond 1 899 14.91% 18.53%
20 2016-11-05 34.04 Tammeka 3 1038 57.24% @ Parnu Linnameeskond 0 863 23.62% 19.14%
21 2016-07-09 33.82 @ Paide Linnameeskond 3 1206 57.43% Tammeka 0 1116 23.44% 19.13%
22 2016-09-16 33.33 @ Tammeka 3 1024 3.01% Flora 2 1609 81.99% 14.99%
23 2016-08-23 33.25 @ Flora 3 1572 57.90% Infonet 0 1477 23.00% 19.11%
24 2016-03-19 32.95 @ Tammeka 3 1024 38.44% Rakvere Tarvas 1 1079 42.12% 19.44%
25 2016-10-22 31.60 Tammeka 2 1011 9.63% @ Sillamae Kalev 1 1285 72.63% 17.74%

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 2016-08-27 77.6 @ Nomme Kalju 3 1508 32.87% Flora 3 1605 47.74% 19.39%
2 2016-10-29 69.5 @ Flora 3 1603 76.50% Sillamae Kalev 3 1254 6.57% 16.93%
3 2016-10-01 68.4 @ Levadia 2 1523 55.87% Infonet 2 1447 24.94% 19.19%
4 2016-09-10 68.3 @ Flora 1 1604 57.92% Nomme Kalju 1 1509 22.97% 19.11%
5 2016-09-27 66.4 @ Infonet 2 1448 43.31% Nomme Kalju 2 1469 37.26% 19.43%
6 2016-09-16 64.2 @ Tammeka 3 1024 3.01% Flora 2 1609 81.99% 14.99%
7 2016-03-08 64.0 @ Narva Trans 3 1186 35.09% Sillamae Kalev 3 1266 45.50% 19.42%
8 2016-11-05 62.6 @ Levadia 2 1496 32.25% Flora 1 1598 48.37% 19.38%
9 2016-10-15 62.4 @ Sillamae Kalev 3 1258 15.60% Levadia 2 1521 65.80% 18.60%
10 2016-04-04 60.1 @ Sillamae Kalev 2 1176 21.79% Infonet 2 1368 59.16% 19.05%
11 2016-04-02 59.6 @ Narva Trans 2 1176 61.50% Rakvere Tarvas 2 1046 19.59% 18.92%
12 2016-03-04 59.5 @ Tammeka 2 994 21.46% Narva Trans 2 1189 59.51% 19.03%
13 2016-05-14 59.5 @ Infonet 3 1404 34.75% Levadia 2 1486 45.84% 19.41%
14 2016-07-10 59.0 @ Infonet 4 1438 45.99% Flora 3 1440 34.60% 19.41%
15 2016-04-02 58.5 @ Levadia 1 1412 45.76% Nomme Kalju 1 1416 34.83% 19.41%
16 2016-04-01 57.6 @ Infonet 1 1368 39.18% Flora 1 1419 41.38% 19.44%
17 2016-08-13 57.2 @ Infonet 0 1466 48.83% Levadia 0 1447 31.80% 19.37%
18 2016-05-10 57.1 @ Flora 0 1417 35.72% Nomme Kalju 0 1492 44.86% 19.42%
19 2016-04-30 56.5 @ Paide Linnameeskond 1 1217 14.85% Nomme Kalju 1 1491 66.63% 18.52%
20 2016-10-22 56.1 Tammeka 2 1011 9.63% @ Sillamae Kalev 1 1285 72.63% 17.74%
21 2016-08-07 56.0 @ Nomme Kalju 1 1473 74.97% Paide Linnameeskond 1 1156 7.74% 17.29%
22 2016-05-14 55.9 @ Narva Trans 1 1146 10.41% Nomme Kalju 1 1491 71.70% 17.89%
23 2016-04-22 55.8 @ Levadia 1 1449 73.67% Tammeka 1 1157 8.78% 17.55%
24 2016-04-05 55.4 Paide Linnameeskond 3 1128 28.57% @ Narva Trans 2 1172 52.13% 19.30%
25 2016-04-16 55.4 @ Paide Linnameeskond 1 1220 22.67% Flora 1 1403 58.24% 19.09%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2016-09-23 22.3 @ Flora 4 1576 89.13% Rakvere Tarvas 0 748 0.52% 10.34%
2 2016-07-23 23.3 @ Infonet 6 1453 84.90% Rakvere Tarvas 0 843 1.68% 13.42%
3 2016-08-20 23.4 @ Levadia 4 1452 85.14% Rakvere Tarvas 0 831 1.59% 13.27%
4 2016-06-19 24.5 Flora 5 1431 80.64% @ Rakvere Tarvas 0 889 3.78% 15.58%
5 2016-04-29 24.6 @ Flora 6 1390 80.57% Parnu Linnameeskond 0 936 3.82% 15.61%
6 2016-07-29 24.6 Levadia 4 1501 81.86% @ Parnu Linnameeskond 0 920 3.08% 15.05%
7 2016-08-16 24.6 Infonet 5 1464 80.57% @ Parnu Linnameeskond 0 924 3.82% 15.61%
8 2016-08-12 24.8 @ Flora 3 1547 85.13% Parnu Linnameeskond 0 926 1.59% 13.28%
9 2016-05-17 25.0 Levadia 4 1467 80.42% @ Rakvere Tarvas 0 932 3.91% 15.67%
10 2016-05-17 25.0 @ Nomme Kalju 3 1484 84.08% Parnu Linnameeskond 0 908 2.01% 13.91%
11 2016-09-24 25.5 @ Levadia 4 1516 80.72% Tammeka 0 1058 3.73% 15.55%
12 2016-07-15 25.6 @ Sillamae Kalev 4 1232 77.76% Rakvere Tarvas 0 854 5.66% 16.58%
13 2016-10-22 25.9 @ Nomme Kalju 2 1423 86.69% Rakvere Tarvas 0 730 1.08% 12.23%
14 2016-11-05 25.9 Sillamae Kalev 3 1259 80.29% @ Rakvere Tarvas 0 727 3.99% 15.72%
15 2016-10-01 26.2 Narva Trans 6 1149 74.94% @ Rakvere Tarvas 0 747 7.77% 17.30%
16 2016-08-20 26.3 @ Nomme Kalju 3 1484 80.67% Tammeka 0 1027 3.76% 15.57%
17 2016-08-23 26.4 @ Paide Linnameeskond 7 1150 75.19% Rakvere Tarvas 0 828 7.57% 17.24%
18 2016-10-22 26.7 @ Levadia 2 1494 84.50% Parnu Linnameeskond 0 901 1.84% 13.67%
19 2016-03-08 26.9 @ Flora 6 1420 74.49% Rakvere Tarvas 0 1112 8.12% 17.39%
20 2016-03-12 26.9 @ Infonet 4 1336 73.80% Tammeka 0 1041 8.67% 17.53%
21 2016-04-22 26.9 Flora 3 1399 77.35% @ Parnu Linnameeskond 0 945 5.95% 16.70%
22 2016-10-01 26.9 Flora 6 1577 84.20% @ Parnu Linnameeskond 1 910 1.96% 13.84%
23 2016-07-10 27.0 Nomme Kalju 6 1479 82.98% @ Rakvere Tarvas 1 859 2.51% 14.51%
24 2016-04-09 27.7 @ Nomme Kalju 6 1421 72.41% Narva Trans 0 1151 9.81% 17.78%
25 2016-09-09 27.7 @ Tammeka 5 1010 69.57% Rakvere Tarvas 0 783 12.24% 18.19%