2015 Meistriliiga Season

180 games

Final

Champion

Flora

84 points · 10th Title

Last Title: 2011

Relegated

No relegation

Biggest Overachiever

Flora

12.78 points above expected

84 points · 71.22 expected points

Biggest Disappointment

Sillamae Kalev

13.99 points below expected

59 points · 72.99 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	Flora Champion	36	27	3	6	84	72	24	+48	71.22	+12.78
2	Levadia	36	22	10	4	76	78	32	+46	76.37	-0.37
3	Nomme Kalju	36	22	5	9	71	69	36	+33	72.49	-1.49
4	Infonet	36	17	11	8	62	50	32	+18	61.42	+0.58
5	Sillamae Kalev	36	17	8	11	59	63	43	+20	72.99	-13.99
6	Narva Trans	36	14	7	15	49	50	46	+4	40.01	+8.99
7	Paide Linnameeskond	36	9	6	21	33	50	73	-23	31.23	+1.77
8	Parnu Linnameeskond	36	6	8	22	26	38	87	-49	26.43	-0.43
9	Tammeka	36	7	4	25	25	39	96	-57	22.77	+2.23
10	Tulevik Viljandi	36	6	4	26	22	35	75	-40	34.00	-12.00

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	Flora	84	71.22	+12.78
2	Narva Trans	49	40.01	+8.99
3	Tammeka	25	22.77	+2.23
4	Paide Linnameeskond	33	31.23	+1.77
5	Infonet	62	61.42	+0.58

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Sillamae Kalev	59	72.99	-13.99
2	Tulevik Viljandi	22	34.00	-12.00
3	Nomme Kalju	71	72.49	-1.49
4	Parnu Linnameeskond	26	26.43	-0.43
5	Levadia	76	76.37	-0.37

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	Flora	12	Aug 14 – Oct 31	1 in 252
2	Narva Trans	6	Aug 22 – Sep 26	1 in 172
3	Paide Linnameeskond	4	Oct 18 – Nov 7	1 in 121
4	Parnu Linnameeskond	3	Sep 11 – Sep 18	1 in 98
5	Nomme Kalju	9	Mar 7 – May 2	1 in 96

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Tulevik Viljandi	11	Jul 6 – Aug 31	1 in 581
2	Nomme Kalju	3	May 8 – May 23	1 in 245
3	Paide Linnameeskond	6	Apr 18 – May 22	1 in 35
4	Flora	2	Jun 2 – Jun 5	1 in 17
5	Sillamae Kalev	2	Mar 21 – Apr 4	1 in 10

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Narva Trans	9	Aug 8 – Sep 26	1 in 201
2	Levadia	20	Apr 25 – Aug 28	1 in 100
3	Infonet	8	Jul 18 – Aug 21	1 in 17
4	Paide Linnameeskond	4	Oct 18 – Nov 7	1 in 13
5	Flora	12	Aug 14 – Oct 31	1 in 12

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Nomme Kalju	7	Aug 14 – Sep 19	1 in 219
2	Paide Linnameeskond	12	Mar 7 – May 22	1 in 22
3	Tulevik Viljandi	11	Jul 6 – Aug 31	1 in 22
4	Infonet	4	Mar 6 – Apr 4	1 in 20
5	Sillamae Kalev	4	Sep 12 – Sep 26	1 in 12

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	Elo Δ (5)	Points (5)	Expected (5)	Actual − Exp
Flora	1501	84	+28	12	10.5	+1.5
Levadia	1481	76	+18	10	11.0	-1.0
Nomme Kalju	1419	71	+52	11	11.2	-0.2
Infonet	1320	62	-35	9	8.9	+0.1
Sillamae Kalev	1320	59	-27	12	10.8	+1.2
Narva Trans	1178	49	-56	1	5.4	-4.4
Paide Linnameeskond	1102	33	+79	12	6.0	+6.0
Parnu Linnameeskond	944	26	-24	1	2.4	-1.4
Tammeka	901	25	-19	3	2.2	+0.8
Tulevik Viljandi	949	22	-16	1	2.4	-1.4

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	SK	TAM	TV
Flora	—	3-1-0 6.82	1-2-1 5.46	2-0-2 9.22	2-0-2 5.67	3-0-1 9.95	4-0-0 10.05	4-0-0 4.89	4-0-0 10.14	4-0-0 9.35
Infonet	0-1-3 4.40	—	0-2-2 3.68	3-1-0 8.10	1-2-1 4.20	3-0-1 9.15	3-1-0 9.59	2-1-1 4.19	2-2-0 9.84	3-1-0 8.83
Levadia	1-2-1 5.77	2-2-0 7.55	—	2-1-1 9.64	1-1-2 6.08	4-0-0 10.08	2-2-0 10.15	2-2-0 6.22	4-0-0 10.43	4-0-0 9.77
Narva Trans	2-0-2 2.07	0-1-3 3.15	1-1-2 1.69	—	1-1-2 1.71	2-1-1 7.16	3-1-0 7.53	0-1-3 2.21	2-0-2 8.02	3-1-0 6.08
Nomme Kalju	2-0-2 5.55	1-2-1 7.04	2-1-1 5.15	2-1-1 9.63	—	3-0-1 9.74	3-0-1 10.19	3-0-1 5.69	4-0-0 10.23	2-1-1 9.53
Paide Linnameeskond	1-0-3 1.41	1-0-3 2.15	0-0-4 1.29	1-1-2 4.07	1-0-3 1.60	—	2-2-0 6.23	0-2-2 1.58	1-1-2 6.54	2-0-2 4.72
Parnu Linnameeskond	0-0-4 1.32	0-1-3 1.73	0-2-2 1.24	0-1-3 3.72	1-0-3 1.20	0-2-2 5.00	—	0-2-2 1.34	2-0-2 6.32	3-0-1 4.42
Sillamae Kalev	0-0-4 6.34	1-1-2 7.05	0-2-2 5.01	3-1-0 9.09	1-0-3 5.54	2-2-0 9.76	2-2-0 10.04	—	4-0-0 10.13	4-0-0 9.51
Tammeka	0-0-4 1.25	0-2-2 1.51	0-0-4 1.00	2-0-2 3.24	0-0-4 1.17	2-1-1 4.69	2-0-2 4.91	0-0-4 1.25	—	1-1-2 4.17
Tulevik Viljandi	0-0-4 1.97	0-1-3 2.46	0-0-4 1.57	0-1-3 5.16	1-1-2 1.79	2-0-2 6.52	1-0-3 6.81	0-0-4 1.81	2-1-1 7.07	—

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	0.87	+14.1
Allowed	0.90	-8.4
Differential	0.96	+5.7

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.

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	9.44%	6.39%	2.78%	2.22%	1.67%	28.06%
1	9.44%	6.67%	7.22%	2.22%	2.22%	1.39%	29.17%
2	6.39%	7.22%	4.44%	2.50%	1.39%	0.83%	22.78%
3	2.78%	2.22%	2.50%	1.67%	0.28%	—	9.44%
4	2.22%	2.22%	1.39%	0.28%	—	0.28%	6.39%
5+	1.67%	1.39%	0.83%	—	0.28%	—	4.17%
Total	28.06%	29.17%	22.78%	9.44%	6.39%	4.17%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.51	1.51	+0.00
SD	1.42	1.42	2.14
CV	0.94	0.94	—
Max	7	7	+7
Min	0	0	-7

Games Played: 180

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	5.56%	5.56%	—	—	—	13.89%
1	22.22%	5.56%	2.78%	—	—	—	30.56%
2	11.11%	11.11%	—	2.78%	—	—	25.00%
3	2.78%	11.11%	—	—	—	—	13.89%
4	5.56%	5.56%	—	—	—	—	11.11%
5+	2.78%	2.78%	—	—	—	—	5.56%
Total	47.22%	41.67%	8.33%	2.78%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.00	0.67	+1.33
SD	1.57	0.76	1.82
CV	0.78	1.13	—
Max	7	3	+7
Min	0	0	-2

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	13.89%	11.11%	2.78%	—	—	2.78%	30.56%
1	13.89%	8.33%	2.78%	—	—	—	25.00%
2	11.11%	5.56%	8.33%	2.78%	—	—	27.78%
3	5.56%	2.78%	—	—	—	—	8.33%
4	2.78%	—	5.56%	—	—	—	8.33%
5+	—	—	—	—	—	—	—
Total	47.22%	27.78%	19.44%	2.78%	—	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.39	0.89	+0.50
SD	1.25	1.12	1.65
CV	0.90	1.25	—
Max	4	5	+4
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	2.78%	5.56%	—	—	—	16.67%
1	8.33%	8.33%	2.78%	—	—	—	19.44%
2	8.33%	13.89%	8.33%	—	—	—	30.56%
3	5.56%	2.78%	2.78%	2.78%	—	—	13.89%
4	2.78%	—	2.78%	—	—	—	5.56%
5+	5.56%	8.33%	—	—	—	—	13.89%
Total	38.89%	36.11%	22.22%	2.78%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.17	0.89	+1.28
SD	1.65	0.85	1.86
CV	0.76	0.96	—
Max	6	3	+5
Min	0	0	-2

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	13.89%	5.56%	5.56%	—	—	33.33%
1	8.33%	8.33%	5.56%	8.33%	2.78%	—	33.33%
2	11.11%	2.78%	2.78%	—	—	—	16.67%
3	—	—	5.56%	—	—	—	5.56%
4	—	—	2.78%	—	—	—	2.78%
5+	5.56%	—	2.78%	—	—	—	8.33%
Total	33.33%	25.00%	25.00%	13.89%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.39	1.28	+0.11
SD	1.57	1.16	2.07
CV	1.13	0.91	—
Max	6	4	+6
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	8.33%	8.33%	—	—	—	19.44%
1	11.11%	5.56%	5.56%	—	—	—	22.22%
2	11.11%	11.11%	5.56%	—	—	—	27.78%
3	11.11%	—	2.78%	—	—	—	13.89%
4	5.56%	2.78%	—	2.78%	—	2.78%	13.89%
5+	—	—	2.78%	—	—	—	2.78%
Total	41.67%	27.78%	25.00%	2.78%	—	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.92	1.00	+0.92
SD	1.48	1.12	1.75
CV	0.77	1.12	—
Max	6	5	+4
Min	0	0	-2

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	11.11%	11.11%	5.56%	—	—	30.56%
1	5.56%	8.33%	11.11%	—	2.78%	5.56%	33.33%
2	—	2.78%	2.78%	5.56%	5.56%	—	16.67%
3	—	—	5.56%	2.78%	—	—	8.33%
4	2.78%	5.56%	—	—	—	—	8.33%
5+	—	—	—	—	2.78%	—	2.78%
Total	11.11%	27.78%	30.56%	13.89%	11.11%	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.39	2.03	-0.64
SD	1.38	1.36	1.84
CV	0.99	0.67	—
Max	5	5	+4
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	13.89%	5.56%	5.56%	5.56%	5.56%	41.67%
1	5.56%	2.78%	5.56%	2.78%	2.78%	5.56%	25.00%
2	—	8.33%	8.33%	—	—	5.56%	22.22%
3	—	—	—	5.56%	2.78%	—	8.33%
4	—	—	2.78%	—	—	—	2.78%
5+	—	—	—	—	—	—	—
Total	11.11%	25.00%	22.22%	13.89%	11.11%	16.67%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.06	2.42	-1.36
SD	1.12	1.70	1.93
CV	1.06	0.70	—
Max	4	6	+2
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	8.33%	2.78%	—	2.78%	—	22.22%
1	8.33%	5.56%	8.33%	5.56%	—	—	27.78%
2	8.33%	13.89%	2.78%	2.78%	—	—	27.78%
3	—	—	—	5.56%	—	—	5.56%
4	2.78%	8.33%	—	—	—	—	11.11%
5+	2.78%	2.78%	—	—	—	—	5.56%
Total	30.56%	38.89%	13.89%	13.89%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.75	1.19	+0.56
SD	1.54	1.12	1.98
CV	0.88	0.93	—
Max	6	4	+5
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	8.33%	—	5.56%	5.56%	8.33%	27.78%
1	8.33%	8.33%	11.11%	5.56%	8.33%	2.78%	44.44%
2	—	2.78%	2.78%	5.56%	8.33%	—	19.44%
3	—	2.78%	5.56%	—	—	—	8.33%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	8.33%	22.22%	19.44%	16.67%	22.22%	11.11%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.08	2.67	-1.58
SD	0.91	1.76	2.14
CV	0.84	0.66	—
Max	3	7	+2
Min	0	0	-7

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	11.11%	16.67%	5.56%	8.33%	—	44.44%
1	2.78%	5.56%	16.67%	—	5.56%	—	30.56%
2	2.78%	—	2.78%	5.56%	—	2.78%	13.89%
3	2.78%	2.78%	2.78%	—	—	—	8.33%
4	—	—	—	—	—	—	—
5+	—	—	2.78%	—	—	—	2.78%
Total	11.11%	19.44%	41.67%	11.11%	13.89%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.97	2.08	-1.11
SD	1.18	1.34	1.85
CV	1.22	0.64	—
Max	5	6	+3
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	1501	84	71.22	+12.78	98.0%	50	60	66	71	76	82	91
Levadia	1481	76	76.37	-0.37	51.0%	62	64	72	76	80	87	91
Nomme Kalju	1419	71	72.49	-1.49	40.0%	48	59	68	73	77	85	89
Sillamae Kalev	1320	59	72.99	-13.99	2.0%	50	63	68	74	78	82	85
Infonet	1320	62	61.42	+0.58	51.0%	43	48	56	62	66	72	78
Narva Trans	1178	49	40.01	+8.99	95.0%	21	29	36	40	44	49	54
Paide Linnameeskond	1102	33	31.23	+1.77	65.0%	15	22	27	30	34	42	53
Tulevik Viljandi	949	22	34.00	-12.00	2.0%	19	25	29	34	38	43	52
Parnu Linnameeskond	944	26	26.43	-0.43	51.0%	9	14	23	26	31	36	40
Tammeka	901	25	22.77	+2.23	67.0%	10	12	18	22	27	33	42

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

+8.33%

Strong Edge

45.00%18.33%36.67%

Elo Value

Home Edge: 29.02 Elo pts.

233 Elo

0.004 goals per Elo point

0600

Scoring Tilt

Expected

+0.19 goals

Neutral

-2+0.12+2

Title Race

How these are measured

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

Title-Race Openness: Effective number of teams with a live shot at finishing 1st, from the simulation. 1 means the favorite is a near-lock; larger means a wide-open race. Equal to 1 divided by the sum of squared title odds.
One-Team Race: under 2 * Top-Heavy: 2 to 3 * Open: 3 to 4 * Wide Open: 4 and up.
Champion Preseason Odds: Preseason probability that the eventual champion would finish 1st, from the simulation. The dot marks their rank across all teams, from longshot to favorite.
Preseason Favorite: 1st * Among the Favorites: 2nd * Middle of the Pack: 3rd to 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

3.8

Open

123410

Champion Preseason Odds

21%

Flora, 3rd of 10

LongshotFavorite

Title Margin

Expected

0.22/gm

Comfortable

00.140.5/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 5.33 * Some Luck: 5.33 to 7.99 * Lucky: 7.99 to 10.66 * Wild Swing: 10.66 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 0.69 * Close: 0.69 to 1.04 * Off: 1.04 to 1.38 * Way Off: 1.38 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

7.71 points

Some Luck

06.6617

Average Finish Error

Expected

1.40

Way Off

00.862

Biggest Overachiever

Expected 95.00%

98.00%

Flora

50100

Biggest Underachiever

Expected 5.00%

2.00%

Sillamae Kalev

050

Season Outliers

Expected

3 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

0.24

Balanced

00.270.5

Noll-Scully

Elo SD: 229.23

2.80

Moderate Separation

12.733.33.75

Interquartile Edge

91%

Clear Edge

50%87.5%100%

Best vs. Worst

Baseline 99%

97%

Even

50%100%

Close Games

Expected

58%

Very Frequent

0%51%100%

Blowouts

Expected

22%

Rare

0%25%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

0.50

Highly Predictable

00.492

Matchup Imbalance

0.57

Slight Separation

00.5

Strangeness

Expected

1.38

Wilder Than Modeled

01.002

Repeatability

0.68

Weak Carryover

00.70.841

Upset Rate

Expected

19%

Upset-Prone

0%18%50%

Clear Favorite Upset Rate

Expected

16%

Shaky Favorites

0%14%50%

Calibration

How these are measured

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

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

Probability calibration

0.96

Excellent

0.010.050.10.51

Calibration slope

Ideal

0.87

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.052

Well Within Noise

00.1120.25

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).

Team	1	2	3	4	5	6	7	8	9	10
Flora	21.00%	20.00%	19.00%	30.00%	9.00%	1.00%	—	—	—	—
Levadia	36.00%	27.00%	23.00%	9.00%	5.00%	—	—	—	—	—
Nomme Kalju	18.00%	26.00%	26.00%	21.00%	9.00%	—	—	—	—	—
Infonet	1.00%	4.00%	8.00%	19.00%	65.00%	3.00%	—	—	—	—
Sillamae Kalev	24.00%	23.00%	24.00%	21.00%	8.00%	—	—	—	—	—
Narva Trans	—	—	—	—	3.00%	60.00%	23.00%	9.00%	4.00%	1.00%
Paide Linnameeskond	—	—	—	—	—	13.00%	24.00%	29.00%	26.00%	8.00%
Parnu Linnameeskond	—	—	—	—	—	4.00%	9.00%	24.00%	34.00%	29.00%
Tammeka	—	—	—	—	—	1.00%	5.00%	15.00%	24.00%	55.00%
Tulevik Viljandi	—	—	—	—	1.00%	18.00%	39.00%	23.00%	12.00%	7.00%

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%	—	—
Sillamae Kalev	100%	—	—
Narva Trans	95.00%	4.00%	1.00%
Tulevik Viljandi	81.00%	12.00%	7.00%
Paide Linnameeskond	66.00%	26.00%	8.00%
Parnu Linnameeskond	37.00%	34.00%	29.00%
Tammeka	21.00%	24.00%	55.00%

Filter by Team:

Overall Game Log

Summary of every completed game this season. Sort any column by clicking its header.

Date	Opponent	Score	Excitement	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Proj. Margin	Elo Δ	Points
2015-03-06	Infonet	D 0-0	52.3	1400	1280	59.45%	18.92%	21.64%	+0.64	-3.5	1
2015-03-06	@ Levadia	D 0-0	52.3	1280	1400	21.64%	18.92%	59.45%	-0.64	+3.5	1
2015-03-07	Paide Linnameeskond	W 4-1	29.8	1454	1054	78.86%	15.66%	5.48%	+1.84	+5.3	3
2015-03-07	@ Sillamae Kalev	L 1-4	29.8	1054	1454	5.48%	15.66%	78.86%	-1.84	-5.3	0
2015-03-07	Parnu Linnameeskond	W 5-2	44.5	1008	1054	38.22%	19.44%	42.35%	-0.07	+31.0	3
2015-03-07	@ Narva Trans	L 2-5	44.5	1054	1008	42.35%	19.44%	38.22%	+0.07	-31.0	0
2015-03-07	Tammeka	W 3-0	24.6	1389	990	78.82%	15.68%	5.51%	+1.84	+6.3	3
2015-03-07	@ Nomme Kalju	L 0-3	24.6	990	1389	5.51%	15.68%	78.82%	-1.84	-6.3	0
2015-03-07	Tulevik Viljandi	W 3-0	28.8	1334	1150	65.55%	18.40%	16.05%	+0.91	+18.3	3
2015-03-07	@ Flora	L 0-3	28.8	1150	1334	16.05%	18.40%	65.55%	-0.91	-18.3	0
2015-03-13	Flora	L 0-2	37.9	1283	1352	34.99%	19.41%	45.60%	-0.17	-25.0	1
2015-03-13	@ Infonet	W 2-0	37.9	1352	1283	45.60%	19.41%	34.99%	+0.17	+25.0	6
2015-03-14	Narva Trans	D 1-1	55.7	1396	1039	76.87%	16.30%	6.83%	+1.66	-6.2	2
2015-03-14	@ Levadia	D 1-1	55.7	1039	1396	6.83%	16.30%	76.87%	-1.66	+6.2	4
2015-03-14	Nomme Kalju	L 0-3	26.5	1049	1396	9.82%	17.28%	72.90%	-1.36	-11.4	0
2015-03-14	@ Paide Linnameeskond	W 3-0	26.5	1396	1049	72.90%	17.28%	9.82%	+1.36	+11.4	6
2015-03-14	Sillamae Kalev	L 0-2	29.7	1131	1460	10.76%	17.51%	71.74%	-1.29	-8.6	0
2015-03-14	@ Tulevik Viljandi	W 2-0	29.7	1460	1131	71.74%	17.51%	10.76%	+1.29	+8.6	6
2015-03-14	Tammeka	W 4-2	44.7	1023	984	49.89%	19.33%	30.78%	+0.29	+17.4	3
2015-03-14	@ Parnu Linnameeskond	L 2-4	44.7	984	1023	30.78%	19.33%	49.89%	-0.29	-17.4	0
2015-03-20	Infonet	D 0-0	50.8	1045	1258	18.83%	18.69%	62.48%	-0.79	+4.1	5
2015-03-20	@ Narva Trans	D 0-0	50.8	1258	1045	62.48%	18.69%	18.83%	+0.79	-4.1	2
2015-03-21	Paide Linnameeskond	D 2-2	59.7	1040	1038	45.05%	19.41%	35.53%	+0.14	-0.6	4
2015-03-21	@ Parnu Linnameeskond	D 2-2	59.7	1038	1040	35.53%	19.41%	45.05%	-0.14	+0.6	1
2015-03-21	Sillamae Kalev	W 1-0	48.6	1377	1468	32.04%	19.36%	48.61%	-0.27	+17.5	9
2015-03-21	@ Flora	L 0-1	48.6	1468	1377	48.61%	19.36%	32.04%	+0.27	-17.4	6
2015-03-21	Tammeka	W 2-1	34.5	1390	967	79.83%	15.30%	4.86%	+1.94	+1.9	5
2015-03-21	@ Levadia	L 1-2	34.5	967	1390	4.86%	15.30%	79.83%	-1.94	-1.9	0
2015-03-21	Tulevik Viljandi	W 6-2	32.0	1407	1123	72.90%	17.28%	9.82%	+1.35	+10.5	9
2015-03-21	@ Nomme Kalju	L 2-6	32.0	1123	1407	9.82%	17.28%	72.90%	-1.35	-10.5	0
2015-04-03	Paide Linnameeskond	W 2-1	35.6	1392	1038	76.72%	16.35%	6.94%	+1.64	+2.8	8
2015-04-03	@ Levadia	L 1-2	35.6	1038	1392	6.94%	16.35%	76.72%	-1.64	-2.8	1
2015-04-04	Flora	L 0-1	31.9	1050	1395	9.91%	17.31%	72.78%	-1.36	-4.2	5
2015-04-04	@ Narva Trans	W 1-0	31.9	1395	1050	72.78%	17.31%	9.91%	+1.36	+4.2	12
2015-04-04	Nomme Kalju	L 2-3	59.2	1451	1418	49.15%	19.35%	31.50%	+0.27	-15.8	6
2015-04-04	@ Sillamae Kalev	W 3-2	59.2	1418	1451	31.50%	19.35%	49.15%	-0.27	+15.8	12
2015-04-04	Parnu Linnameeskond	W 5-2	39.8	1112	1040	54.08%	19.19%	26.73%	+0.44	+21.2	3
2015-04-04	@ Tulevik Viljandi	L 2-5	39.8	1040	1112	26.73%	19.19%	54.08%	-0.44	-21.2	4
2015-04-04	Tammeka	D 2-2	60.4	1254	965	73.19%	17.22%	9.59%	+1.37	-4.2	3
2015-04-04	@ Infonet	D 2-2	60.4	965	1254	9.59%	17.22%	73.19%	-1.37	+4.2	1
2015-04-10	Sillamae Kalev	L 1-6	27.6	1019	1435	6.92%	16.34%	76.75%	-1.66	-10.7	4
2015-04-10	@ Parnu Linnameeskond	W 6-1	27.6	1435	1019	76.75%	16.34%	6.92%	+1.66	+10.7	9
2015-04-10	Tulevik Viljandi	W 2-0	29.5	1395	1133	71.42%	17.57%	11.02%	+1.25	+8.8	11
2015-04-10	@ Levadia	L 0-2	29.5	1133	1395	11.02%	17.57%	71.42%	-1.25	-8.8	3
2015-04-11	Narva Trans	W 3-1	45.4	969	1045	33.96%	19.39%	46.65%	-0.20	+27.5	4
2015-04-11	@ Tammeka	L 1-3	45.4	1045	969	46.65%	19.39%	33.96%	+0.20	-27.5	5
2015-04-11	Nomme Kalju	L 0-2	42.5	1399	1433	39.76%	19.44%	40.80%	-0.02	-27.8	12
2015-04-11	@ Flora	W 2-0	42.5	1433	1399	40.80%	19.44%	39.76%	+0.02	+27.8	15
2015-04-11	Infonet	L 2-4	40.9	1035	1250	18.67%	18.68%	62.65%	-0.80	-11.2	1
2015-04-11	@ Paide Linnameeskond	W 4-2	40.9	1250	1035	62.65%	18.68%	18.67%	+0.80	+11.2	6
2015-04-13	Levadia	D 3-3	68.7	1446	1403	50.34%	19.32%	30.34%	+0.31	-1.0	10
2015-04-13	@ Sillamae Kalev	D 3-3	68.7	1403	1446	30.34%	19.32%	50.34%	-0.31	+1.0	12
2015-04-14	Flora	L 1-3	33.4	996	1371	8.55%	16.92%	74.54%	-1.48	-5.9	4
2015-04-14	@ Tammeka	W 3-1	33.4	1371	996	74.54%	16.92%	8.55%	+1.48	+5.9	15
2015-04-14	Paide Linnameeskond	D 0-0	50.5	1018	1024	43.82%	19.43%	36.76%	+0.10	-0.6	6
2015-04-14	@ Narva Trans	D 0-0	50.5	1024	1018	36.76%	19.43%	43.82%	-0.10	+0.6	2
2015-04-14	Parnu Linnameeskond	W 1-0	29.5	1461	1008	81.00%	14.83%	4.17%	+2.07	+1.7	18
2015-04-14	@ Nomme Kalju	L 0-1	29.5	1008	1461	4.17%	14.83%	81.00%	-2.07	-1.7	4
2015-04-14	Tulevik Viljandi	W 2-0	32.2	1261	1124	61.13%	18.80%	20.08%	+0.71	+15.5	9
2015-04-14	@ Infonet	L 0-2	32.2	1124	1261	20.08%	18.80%	61.13%	-0.71	-15.5	3
2015-04-17	Sillamae Kalev	W 1-0	48.7	1276	1445	23.06%	19.01%	57.93%	-0.60	+20.5	12
2015-04-17	@ Infonet	L 0-1	48.7	1445	1276	57.93%	19.01%	23.06%	+0.60	-20.5	10
2015-04-18	Narva Trans	D 1-1	54.6	1109	1017	56.33%	19.09%	24.58%	+0.52	-2.6	4
2015-04-18	@ Tulevik Viljandi	D 1-1	54.6	1017	1109	24.58%	19.09%	56.33%	-0.52	+2.6	7
2015-04-18	Nomme Kalju	L 0-2	42.5	1404	1463	36.41%	19.42%	44.17%	-0.13	-25.9	12
2015-04-18	@ Levadia	W 2-0	42.5	1463	1404	44.17%	19.42%	36.41%	+0.13	+25.9	21
2015-04-18	Parnu Linnameeskond	W 3-1	32.5	1377	1006	77.54%	16.10%	6.36%	+1.72	+4.4	18
2015-04-18	@ Flora	L 1-3	32.5	1006	1377	6.36%	16.10%	77.54%	-1.72	-4.4	4
2015-04-18	Tammeka	L 2-3	53.8	1025	990	49.31%	19.34%	31.35%	+0.27	-15.8	2
2015-04-18	@ Paide Linnameeskond	W 3-2	53.8	990	1025	31.35%	19.34%	49.31%	-0.27	+15.8	7
2015-04-24	Tulevik Viljandi	D 1-1	54.5	1006	1106	30.90%	19.33%	49.77%	-0.31	+1.5	8
2015-04-24	@ Tammeka	D 1-1	54.5	1106	1006	49.77%	19.33%	30.90%	+0.31	-1.5	5
2015-04-25	Flora	L 0-2	28.2	1009	1381	8.65%	16.95%	74.40%	-1.47	-6.9	2
2015-04-25	@ Paide Linnameeskond	W 2-0	28.2	1381	1009	74.40%	16.95%	8.65%	+1.47	+6.9	21
2015-04-25	Levadia	D 2-2	60.6	1002	1379	8.45%	16.89%	74.66%	-1.49	+4.4	5
2015-04-25	@ Parnu Linnameeskond	D 2-2	60.6	1379	1002	74.66%	16.89%	8.45%	+1.49	-4.4	13
2015-04-25	Sillamae Kalev	L 1-2	35.8	1020	1424	7.36%	16.51%	76.13%	-1.61	-2.9	7
2015-04-25	@ Narva Trans	W 2-1	35.8	1424	1020	76.13%	16.51%	7.36%	+1.61	+2.9	13
2015-04-25	Infonet	W 1-0	36.9	1489	1297	66.21%	18.32%	15.46%	+0.95	+6.5	24
2015-04-25	@ Nomme Kalju	L 0-1	36.9	1297	1489	15.46%	18.32%	66.21%	-0.95	-6.5	12
2015-04-30	Infonet	L 0-2	29.9	1006	1291	13.36%	18.01%	68.63%	-1.10	-10.6	5
2015-04-30	@ Parnu Linnameeskond	W 2-0	29.9	1291	1006	68.63%	18.01%	13.36%	+1.10	+10.6	15
2015-05-01	Tammeka	W 4-0	23.5	1427	1008	79.67%	15.36%	4.96%	+1.93	+7.4	16
2015-05-01	@ Sillamae Kalev	L 0-4	23.5	1008	1427	4.96%	15.36%	79.67%	-1.93	-7.4	8
2015-05-02	Levadia	L 0-1	46.1	1388	1374	46.59%	19.39%	34.02%	+0.18	-16.8	21
2015-05-02	@ Flora	W 1-0	46.1	1374	1388	34.02%	19.39%	46.59%	-0.18	+16.8	16
2015-05-02	Narva Trans	W 4-1	28.9	1495	1017	81.90%	14.43%	3.67%	+2.18	+3.5	27
2015-05-02	@ Nomme Kalju	L 1-4	28.9	1017	1495	3.67%	14.43%	81.90%	-2.18	-3.5	7
2015-05-02	Tulevik Viljandi	L 0-3	33.0	1002	1105	30.56%	19.32%	50.11%	-0.32	-32.5	2
2015-05-02	@ Paide Linnameeskond	W 3-0	33.0	1105	1002	50.11%	19.32%	30.56%	+0.32	+32.5	8
2015-05-08	Nomme Kalju	W 2-0	49.4	1013	1499	4.87%	15.31%	79.82%	-1.96	+52.3	10
2015-05-08	@ Narva Trans	L 0-2	49.4	1499	1013	79.82%	15.31%	4.87%	+1.96	-52.4	27
2015-05-08	Parnu Linnameeskond	W 2-0	28.2	1301	995	74.15%	17.01%	8.84%	+1.44	+7.1	18
2015-05-08	@ Infonet	L 0-2	28.2	995	1301	8.84%	17.01%	74.15%	-1.44	-7.1	5
2015-05-08	Sillamae Kalev	L 0-5	24.2	1000	1435	6.32%	16.08%	77.60%	-1.74	-11.8	8
2015-05-08	@ Tammeka	W 5-0	24.2	1435	1000	77.60%	16.08%	6.32%	+1.74	+11.7	19
2015-05-09	Flora	D 1-1	57.4	1391	1371	47.37%	19.38%	33.25%	+0.21	-1.1	17
2015-05-09	@ Levadia	D 1-1	57.4	1371	1391	33.25%	19.38%	47.37%	-0.21	+1.1	22
2015-05-09	Paide Linnameeskond	W 2-0	31.1	1137	970	64.11%	18.54%	17.34%	+0.84	+13.6	11
2015-05-09	@ Tulevik Viljandi	L 0-2	31.1	970	1137	17.34%	18.54%	64.11%	-0.84	-13.6	2
2015-05-15	Narva Trans	W 1-0	30.6	1446	1066	77.99%	15.95%	6.05%	+1.76	+2.5	22
2015-05-15	@ Sillamae Kalev	L 0-1	30.6	1066	1446	6.05%	15.95%	77.99%	-1.76	-2.5	10
2015-05-15	Tammeka	W 3-1	36.5	1151	989	63.62%	18.59%	17.79%	+0.82	+12.0	14
2015-05-15	@ Tulevik Viljandi	L 1-3	36.5	989	1151	17.79%	18.59%	63.62%	-0.82	-12.0	8
2015-05-16	Nomme Kalju	W 1-0	48.3	1308	1446	26.32%	19.18%	54.50%	-0.47	+19.3	21
2015-05-16	@ Infonet	L 0-1	48.3	1446	1308	54.50%	19.18%	26.32%	+0.47	-19.4	27
2015-05-16	Paide Linnameeskond	W 2-1	34.6	1372	956	79.55%	15.41%	5.04%	+1.91	+2.0	25
2015-05-16	@ Flora	L 1-2	34.6	956	1372	5.04%	15.41%	79.55%	-1.91	-2.0	2
2015-05-16	Parnu Linnameeskond	W 3-0	24.6	1390	988	78.92%	15.64%	5.44%	+1.85	+6.2	20
2015-05-16	@ Levadia	L 0-3	24.6	988	1390	5.44%	15.64%	78.92%	-1.85	-6.2	5
2015-05-22	Flora	L 1-2	35.8	982	1374	7.82%	16.68%	75.50%	-1.56	-3.1	5
2015-05-22	@ Parnu Linnameeskond	W 2-1	35.8	1374	982	75.50%	16.68%	7.82%	+1.56	+3.1	28
2015-05-22	Paide Linnameeskond	W 3-2	48.9	976	954	47.75%	19.37%	32.88%	+0.22	+11.3	11
2015-05-22	@ Tammeka	L 2-3	48.9	954	976	32.88%	19.37%	47.75%	-0.22	-11.3	2
2015-05-22	Tulevik Viljandi	W 2-0	41.1	1063	1163	30.97%	19.33%	49.70%	-0.30	+33.6	13
2015-05-22	@ Narva Trans	L 0-2	41.1	1163	1063	49.70%	19.33%	30.97%	+0.30	-33.6	14
2015-05-23	Levadia	L 1-2	53.0	1427	1396	48.86%	19.35%	31.78%	+0.26	-16.5	27
2015-05-23	@ Nomme Kalju	W 2-1	53.0	1396	1427	31.78%	19.35%	48.86%	-0.26	+16.5	23
2015-05-23	Infonet	D 0-0	53.8	1449	1328	59.58%	18.91%	21.52%	+0.65	-3.5	23
2015-05-23	@ Sillamae Kalev	D 0-0	53.8	1328	1449	21.52%	18.91%	59.58%	-0.65	+3.6	22
2015-05-25	Narva Trans	W 1-0	46.1	943	1097	24.56%	19.09%	56.35%	-0.54	+20.0	5
2015-05-25	@ Paide Linnameeskond	L 0-1	46.1	1097	943	56.35%	19.09%	24.56%	+0.54	-20.0	13
2015-05-26	Nomme Kalju	L 0-3	25.0	979	1411	6.41%	16.12%	77.47%	-1.73	-7.4	5
2015-05-26	@ Parnu Linnameeskond	W 3-0	25.0	1411	979	77.47%	16.12%	6.41%	+1.73	+7.4	30
2015-05-26	Sillamae Kalev	W 2-0	43.5	1413	1445	40.06%	19.44%	40.50%	-0.02	+28.2	26
2015-05-26	@ Levadia	L 0-2	43.5	1445	1413	40.50%	19.44%	40.06%	+0.02	-28.2	23
2015-05-26	Infonet	D 0-0	51.0	1129	1331	19.81%	18.78%	61.42%	-0.74	+3.9	15
2015-05-26	@ Tulevik Viljandi	D 0-0	51.0	1331	1129	61.42%	18.78%	19.81%	+0.74	-3.9	23
2015-05-26	Tammeka	W 7-0	25.1	1378	988	78.40%	15.82%	5.78%	+1.80	+14.7	31
2015-05-26	@ Flora	L 0-7	25.1	988	1378	5.78%	15.82%	78.40%	-1.80	-14.7	11
2015-06-01	Tulevik Viljandi	W 2-0	28.9	1441	1133	74.27%	16.98%	8.75%	+1.44	+7.0	29
2015-06-01	@ Levadia	L 0-2	28.9	1133	1441	8.75%	16.98%	74.27%	-1.44	-7.0	15
2015-06-02	Flora	W 2-0	39.8	1418	1392	48.18%	19.37%	32.46%	+0.24	+23.5	33
2015-06-02	@ Nomme Kalju	L 0-2	39.8	1392	1418	32.46%	19.37%	48.18%	-0.24	-23.5	31
2015-06-02	Paide Linnameeskond	L 2-3	61.3	1327	963	77.24%	16.19%	6.57%	+1.69	-24.2	23
2015-06-02	@ Infonet	W 3-2	61.3	963	1327	6.57%	16.19%	77.24%	-1.69	+24.2	8
2015-06-02	Parnu Linnameeskond	D 0-0	52.0	1417	972	80.70%	14.96%	4.34%	+2.04	-7.6	24
2015-06-02	@ Sillamae Kalev	D 0-0	52.0	972	1417	4.34%	14.96%	80.70%	-2.04	+7.6	6
2015-06-02	Tammeka	W 6-0	30.5	1077	973	57.69%	19.02%	23.29%	+0.57	+49.2	16
2015-06-02	@ Narva Trans	L 0-6	30.5	973	1077	23.29%	19.02%	57.69%	-0.57	-49.2	11
2015-06-05	Levadia	L 1-5	27.8	987	1448	5.52%	15.68%	78.80%	-1.85	-6.9	8
2015-06-05	@ Paide Linnameeskond	W 5-1	27.8	1448	987	78.80%	15.68%	5.52%	+1.85	+6.9	32
2015-06-05	Narva Trans	L 0-1	50.3	1369	1126	70.13%	17.79%	12.08%	+1.17	-24.7	31
2015-06-05	@ Flora	W 1-0	50.3	1126	1369	12.08%	17.79%	70.13%	-1.17	+24.7	19
2015-06-05	Infonet	L 1-2	36.0	924	1303	8.36%	16.86%	74.78%	-1.50	-3.3	11
2015-06-05	@ Tammeka	W 2-1	36.0	1303	924	74.78%	16.86%	8.36%	+1.50	+3.3	26
2015-06-06	Sillamae Kalev	L 0-2	45.8	1442	1410	48.99%	19.35%	31.66%	+0.26	-33.1	33
2015-06-06	@ Nomme Kalju	W 2-0	45.8	1410	1442	31.66%	19.35%	48.99%	-0.26	+33.1	27
2015-06-06	Tulevik Viljandi	W 2-1	50.8	979	1126	25.33%	19.13%	55.54%	-0.51	+18.6	9
2015-06-06	@ Parnu Linnameeskond	L 1-2	50.8	1126	979	55.54%	19.13%	25.33%	+0.51	-18.6	15
2015-06-26	Levadia	L 2-3	38.9	921	1455	3.79%	14.54%	81.67%	-2.17	-1.4	11
2015-06-26	@ Tammeka	W 3-2	38.9	1455	921	81.67%	14.54%	3.79%	+2.17	+1.4	35
2015-06-26	Narva Trans	W 3-0	29.5	1306	1151	62.98%	18.65%	18.37%	+0.79	+20.8	29
2015-06-26	@ Infonet	L 0-3	29.5	1151	1306	18.37%	18.65%	62.98%	-0.79	-20.8	19
2015-06-26	Nomme Kalju	W 1-0	50.3	1108	1408	12.34%	17.83%	69.83%	-1.17	+24.6	18
2015-06-26	@ Tulevik Viljandi	L 0-1	50.3	1408	1108	69.83%	17.83%	12.34%	+1.17	-24.6	33
2015-06-27	Flora	L 1-2	54.5	1443	1344	57.12%	19.05%	23.83%	+0.55	-19.1	27
2015-06-27	@ Sillamae Kalev	W 2-1	54.5	1344	1443	23.83%	19.05%	57.12%	-0.55	+19.1	34
2015-06-27	Parnu Linnameeskond	W 4-1	40.3	980	998	42.18%	19.44%	38.38%	+0.05	+33.1	11
2015-06-27	@ Paide Linnameeskond	L 1-4	40.3	998	980	38.38%	19.44%	42.18%	-0.05	-33.1	9
2015-07-03	Parnu Linnameeskond	W 1-0	42.0	919	965	38.23%	19.44%	42.33%	-0.07	+15.5	14
2015-07-03	@ Tammeka	L 0-1	42.0	965	919	42.33%	19.44%	38.23%	+0.07	-15.5	9
2015-07-04	Levadia	L 1-3	34.9	1130	1456	10.88%	17.54%	71.58%	-1.28	-7.5	19
2015-07-04	@ Narva Trans	W 3-1	34.9	1456	1130	71.58%	17.54%	10.88%	+1.28	+7.5	38
2015-07-05	Infonet	W 1-0	40.4	1363	1327	49.52%	19.34%	31.14%	+0.28	+12.1	37
2015-07-05	@ Flora	L 0-1	40.4	1327	1363	31.14%	19.34%	49.52%	-0.28	-12.0	29
2015-07-06	Paide Linnameeskond	W 2-1	35.3	1384	1013	77.54%	16.10%	6.36%	+1.72	+2.5	36
2015-07-06	@ Nomme Kalju	L 1-2	35.3	1013	1384	6.36%	16.10%	77.54%	-1.72	-2.5	11
2015-07-06	Tulevik Viljandi	W 2-1	37.0	1424	1132	73.31%	17.19%	9.49%	+1.38	+3.8	30
2015-07-06	@ Sillamae Kalev	L 1-2	37.0	1132	1424	9.49%	17.19%	73.31%	-1.38	-3.8	18
2015-07-10	Levadia	L 1-2	44.8	1315	1464	25.16%	19.12%	55.72%	-0.51	-9.5	29
2015-07-10	@ Infonet	W 2-1	44.8	1464	1315	55.72%	19.12%	25.16%	+0.51	+9.5	41
2015-07-11	Narva Trans	L 0-1	35.9	949	1122	22.55%	18.98%	58.47%	-0.62	-9.1	9
2015-07-11	@ Parnu Linnameeskond	W 1-0	35.9	1122	949	58.47%	18.98%	22.55%	+0.62	+9.1	22
2015-07-13	Flora	L 0-4	27.9	1129	1375	16.03%	18.39%	65.57%	-0.93	-23.9	18
2015-07-13	@ Tulevik Viljandi	W 4-0	27.9	1375	1129	65.57%	18.39%	16.03%	+0.93	+23.9	40
2015-07-13	Nomme Kalju	L 1-2	34.9	935	1386	5.79%	15.82%	78.39%	-1.81	-2.3	14
2015-07-13	@ Tammeka	W 2-1	34.9	1386	935	78.39%	15.82%	5.79%	+1.81	+2.3	39
2015-07-13	Sillamae Kalev	D 1-1	55.7	1010	1427	6.90%	16.33%	76.77%	-1.67	+6.2	12
2015-07-13	@ Paide Linnameeskond	D 1-1	55.7	1427	1010	76.77%	16.33%	6.90%	+1.67	-6.2	31
2015-07-17	Tammeka	W 4-2	39.6	1132	932	66.82%	18.25%	14.93%	+0.98	+9.1	25
2015-07-17	@ Narva Trans	L 2-4	39.6	932	1132	14.93%	18.25%	66.82%	-0.98	-9.1	14
2015-07-18	Levadia	D 2-2	63.0	1306	1473	23.13%	19.01%	57.85%	-0.59	+2.1	30
2015-07-18	@ Infonet	D 2-2	63.0	1473	1306	57.85%	19.01%	23.13%	+0.59	-2.1	42
2015-07-20	Paide Linnameeskond	W 1-0	30.3	1399	1017	78.07%	15.93%	6.00%	+1.77	+2.5	43
2015-07-20	@ Flora	L 0-1	30.3	1017	1399	6.00%	15.93%	78.07%	-1.77	-2.5	12
2015-07-20	Parnu Linnameeskond	D 3-3	65.4	1421	940	82.00%	14.39%	3.62%	+2.19	-4.3	32
2015-07-20	@ Sillamae Kalev	D 3-3	65.4	940	1421	3.62%	14.39%	82.00%	-2.19	+4.3	10
2015-07-20	Tulevik Viljandi	W 4-0	25.7	1389	1105	72.87%	17.29%	9.85%	+1.34	+14.9	42
2015-07-20	@ Nomme Kalju	L 0-4	25.7	1105	1389	9.85%	17.29%	72.87%	-1.34	-14.9	18
2015-07-24	Narva Trans	W 3-0	29.2	1308	1141	64.04%	18.55%	17.41%	+0.84	+19.8	33
2015-07-24	@ Infonet	L 0-3	29.2	1141	1308	17.41%	18.55%	64.04%	-0.84	-19.8	25
2015-07-25	Parnu Linnameeskond	D 3-3	63.8	1014	944	53.76%	19.20%	27.03%	+0.42	-1.4	13
2015-07-25	@ Paide Linnameeskond	D 3-3	63.8	944	1014	27.03%	19.20%	53.76%	-0.42	+1.4	11
2015-07-27	Levadia	D 1-1	60.1	1402	1471	34.92%	19.41%	45.67%	-0.17	+0.9	44
2015-07-27	@ Flora	D 1-1	60.1	1471	1402	45.67%	19.41%	34.92%	+0.17	-0.8	43
2015-07-27	Nomme Kalju	L 0-3	24.3	923	1404	5.00%	15.39%	79.61%	-1.94	-5.7	14
2015-07-27	@ Tammeka	W 3-0	24.3	1404	923	79.61%	15.39%	5.00%	+1.94	+5.7	45
2015-07-27	Sillamae Kalev	L 1-2	37.3	1090	1417	10.82%	17.52%	71.66%	-1.28	-4.3	18
2015-07-27	@ Tulevik Viljandi	W 2-1	37.3	1417	1090	71.66%	17.52%	10.82%	+1.28	+4.3	35
2015-07-31	Nomme Kalju	L 0-2	30.3	1121	1409	13.11%	17.97%	68.92%	-1.11	-10.4	25
2015-07-31	@ Narva Trans	W 2-0	30.3	1409	1121	68.92%	17.97%	13.11%	+1.11	+10.4	48
2015-07-31	Infonet	D 0-0	52.9	1402	1327	54.38%	19.18%	26.44%	+0.45	-2.5	45
2015-07-31	@ Flora	D 0-0	52.9	1327	1402	26.44%	19.18%	54.38%	-0.45	+2.5	34
2015-07-31	Tammeka	W 4-1	28.3	1421	918	82.76%	14.02%	3.22%	+2.29	+3.0	38
2015-07-31	@ Sillamae Kalev	L 1-4	28.3	918	1421	3.22%	14.02%	82.76%	-2.29	-3.0	14
2015-08-01	Levadia	L 0-5	23.1	946	1470	3.99%	14.69%	81.32%	-2.13	-7.3	11
2015-08-01	@ Parnu Linnameeskond	W 5-0	23.1	1470	946	81.32%	14.69%	3.99%	+2.13	+7.3	46
2015-08-01	Tulevik Viljandi	W 4-1	42.6	1013	1085	34.51%	19.40%	46.09%	-0.19	+38.5	16
2015-08-01	@ Paide Linnameeskond	L 1-4	42.6	1085	1013	46.09%	19.40%	34.51%	+0.19	-38.5	18
2015-08-03	Flora	L 0-1	47.9	1424	1400	48.00%	19.37%	32.63%	+0.23	-17.3	38
2015-08-03	@ Sillamae Kalev	W 1-0	47.9	1400	1424	32.63%	19.37%	48.00%	-0.23	+17.3	48
2015-08-04	Levadia	L 0-1	32.1	1111	1477	8.88%	17.02%	74.10%	-1.45	-3.8	25
2015-08-04	@ Narva Trans	W 1-0	32.1	1477	1111	74.10%	17.02%	8.88%	+1.45	+3.8	49
2015-08-04	Parnu Linnameeskond	W 4-3	41.8	1420	938	82.00%	14.39%	3.62%	+2.19	+1.3	51
2015-08-04	@ Nomme Kalju	L 3-4	41.8	938	1420	3.62%	14.39%	82.00%	-2.19	-1.3	11
2015-08-04	Infonet	L 0-2	30.1	1051	1330	13.73%	18.07%	68.19%	-1.07	-10.9	16
2015-08-04	@ Paide Linnameeskond	W 2-0	30.1	1330	1051	68.19%	18.07%	13.73%	+1.07	+10.9	37
2015-08-07	Parnu Linnameeskond	D 1-1	55.7	1341	937	79.02%	15.61%	5.38%	+1.86	-6.5	38
2015-08-07	@ Infonet	D 1-1	55.7	937	1341	5.38%	15.61%	79.02%	-1.86	+6.5	12
2015-08-07	Sillamae Kalev	W 2-1	48.7	1421	1407	46.59%	19.39%	34.02%	+0.18	+12.2	54
2015-08-07	@ Nomme Kalju	L 1-2	48.7	1407	1421	34.02%	19.39%	46.59%	-0.18	-12.2	38
2015-08-08	Levadia	L 0-4	24.4	1047	1481	6.32%	16.08%	77.60%	-1.74	-9.5	18
2015-08-08	@ Tulevik Viljandi	W 4-0	24.4	1481	1047	77.60%	16.08%	6.32%	+1.74	+9.5	52
2015-08-08	Narva Trans	L 2-3	61.2	1417	1107	74.42%	16.95%	8.63%	+1.46	-23.4	48
2015-08-08	@ Flora	W 3-2	61.2	1107	1417	8.63%	16.95%	74.42%	-1.46	+23.4	28
2015-08-08	Paide Linnameeskond	D 1-1	54.6	915	1040	27.76%	19.23%	53.01%	-0.42	+2.0	15
2015-08-08	@ Tammeka	D 1-1	54.6	1040	915	53.01%	19.23%	27.76%	+0.42	-2.0	17
2015-08-14	Flora	L 1-5	27.8	944	1394	5.84%	15.85%	78.32%	-1.81	-7.3	12
2015-08-14	@ Parnu Linnameeskond	W 5-1	27.8	1394	944	78.32%	15.85%	5.84%	+1.81	+7.3	51
2015-08-14	Nomme Kalju	W 5-4	65.7	1038	1433	7.72%	16.64%	75.64%	-1.57	+22.8	20
2015-08-14	@ Paide Linnameeskond	L 4-5	65.7	1433	1038	75.64%	16.64%	7.72%	+1.57	-22.8	54
2015-08-14	Infonet	L 0-1	32.8	1037	1334	12.56%	17.87%	69.57%	-1.15	-5.3	18
2015-08-14	@ Tulevik Viljandi	W 1-0	32.8	1334	1037	69.57%	17.87%	12.56%	+1.15	+5.3	41
2015-08-15	Levadia	L 1-6	25.6	917	1491	3.09%	13.89%	83.02%	-2.34	-4.6	15
2015-08-15	@ Tammeka	W 6-1	25.6	1491	917	83.02%	13.89%	3.09%	+2.34	+4.6	55
2015-08-15	Sillamae Kalev	D 0-0	51.4	1130	1395	14.70%	18.22%	67.08%	-1.01	+5.0	29
2015-08-15	@ Narva Trans	D 0-0	51.4	1395	1130	67.08%	18.22%	14.70%	+1.01	-5.0	39
2015-08-17	Tulevik Viljandi	W 4-1	30.0	1401	1032	77.46%	16.12%	6.42%	+1.71	+6.2	54
2015-08-17	@ Flora	L 1-4	30.0	1032	1401	6.42%	16.12%	77.46%	-1.71	-6.2	18
2015-08-18	Levadia	D 0-0	57.1	1410	1495	32.86%	19.37%	47.77%	-0.24	+1.3	55
2015-08-18	@ Nomme Kalju	D 0-0	57.1	1495	1410	47.77%	19.37%	32.86%	+0.24	-1.3	56
2015-08-18	Narva Trans	D 2-2	59.9	936	1135	20.07%	18.80%	61.13%	-0.73	+2.6	13
2015-08-18	@ Parnu Linnameeskond	D 2-2	59.9	1135	936	61.13%	18.80%	20.07%	+0.73	-2.6	30
2015-08-18	Paide Linnameeskond	W 1-0	31.2	1390	1061	75.43%	16.70%	7.88%	+1.53	+3.3	42
2015-08-18	@ Sillamae Kalev	L 0-1	31.2	1061	1390	7.88%	16.70%	75.43%	-1.53	-3.3	20
2015-08-18	Tammeka	W 4-2	35.7	1340	912	80.00%	15.24%	4.76%	+1.96	+2.9	44
2015-08-18	@ Infonet	L 2-4	35.7	912	1340	4.76%	15.24%	80.00%	-1.96	-2.9	15
2015-08-21	Flora	L 1-4	29.0	909	1407	4.56%	15.11%	80.33%	-2.01	-4.4	15
2015-08-21	@ Tammeka	W 4-1	29.0	1407	909	80.33%	15.11%	4.56%	+2.01	+4.4	57
2015-08-21	Nomme Kalju	D 2-2	62.4	1343	1412	34.97%	19.41%	45.62%	-0.17	+0.6	45
2015-08-21	@ Infonet	D 2-2	62.4	1412	1343	45.62%	19.41%	34.97%	+0.17	-0.6	56
2015-08-22	Paide Linnameeskond	W 2-0	34.1	1133	1058	54.36%	19.18%	26.46%	+0.45	+19.8	33
2015-08-22	@ Narva Trans	L 0-2	34.1	1058	1133	26.46%	19.18%	54.36%	-0.45	-19.8	20
2015-08-22	Parnu Linnameeskond	L 1-2	50.8	1026	939	55.77%	19.12%	25.11%	+0.50	-18.6	18
2015-08-22	@ Tulevik Viljandi	W 2-1	50.8	939	1026	25.11%	19.12%	55.77%	-0.50	+18.6	16
2015-08-22	Sillamae Kalev	W 2-1	47.1	1494	1393	57.36%	19.04%	23.60%	+0.56	+9.0	59
2015-08-22	@ Levadia	L 1-2	47.1	1393	1494	23.60%	19.04%	57.36%	-0.56	-9.0	42
2015-08-28	Levadia	L 2-4	36.5	1038	1503	5.41%	15.62%	78.97%	-1.87	-3.3	20
2015-08-28	@ Paide Linnameeskond	W 4-2	36.5	1503	1038	78.97%	15.62%	5.41%	+1.87	+3.3	62
2015-08-28	Narva Trans	L 2-3	46.7	1007	1152	25.53%	19.14%	55.33%	-0.50	-9.1	18
2015-08-28	@ Tulevik Viljandi	W 3-2	46.7	1152	1007	55.33%	19.14%	25.53%	+0.50	+9.1	36
2015-08-28	Tammeka	L 0-1	44.8	958	905	51.68%	19.28%	29.04%	+0.35	-18.4	16
2015-08-28	@ Parnu Linnameeskond	W 1-0	44.8	905	958	29.04%	19.28%	51.68%	-0.35	+18.4	18
2015-08-29	Nomme Kalju	W 1-0	44.2	1412	1411	44.77%	19.42%	35.81%	+0.13	+13.5	60
2015-08-29	@ Flora	L 0-1	44.2	1411	1412	35.81%	19.42%	44.77%	-0.13	-13.5	56
2015-08-29	Infonet	W 1-0	40.7	1384	1343	50.16%	19.32%	30.52%	+0.30	+11.8	45
2015-08-29	@ Sillamae Kalev	L 0-1	40.7	1343	1384	30.52%	19.32%	50.16%	-0.30	-11.9	45
2015-08-31	Tulevik Viljandi	W 1-0	43.2	923	998	34.19%	19.40%	46.41%	-0.20	+16.8	21
2015-08-31	@ Tammeka	L 0-1	43.2	998	923	46.41%	19.40%	34.19%	+0.20	-16.8	18
2015-09-11	Nomme Kalju	W 2-1	56.8	939	1398	5.59%	15.72%	78.68%	-1.84	+25.9	19
2015-09-11	@ Parnu Linnameeskond	L 1-2	56.8	1398	939	78.68%	15.72%	5.59%	+1.84	-25.9	56
2015-09-11	Tammeka	W 3-2	48.2	981	940	50.22%	19.32%	30.47%	+0.30	+10.6	21
2015-09-11	@ Tulevik Viljandi	L 2-3	48.2	940	981	30.47%	19.32%	50.22%	-0.30	-10.6	21
2015-09-12	Narva Trans	L 0-1	52.8	1506	1161	76.27%	16.47%	7.26%	+1.60	-26.7	62
2015-09-12	@ Levadia	W 1-0	52.8	1161	1506	7.26%	16.47%	76.27%	-1.60	+26.7	39
2015-09-12	Paide Linnameeskond	W 1-0	31.5	1331	1035	73.63%	17.13%	9.25%	+1.40	+3.9	48
2015-09-12	@ Infonet	L 0-1	31.5	1035	1331	9.25%	17.13%	73.63%	-1.40	-3.9	20
2015-09-12	Sillamae Kalev	W 3-1	45.1	1425	1396	48.64%	19.36%	32.01%	+0.25	+20.2	63
2015-09-12	@ Flora	L 1-3	45.1	1396	1425	32.01%	19.36%	48.64%	-0.25	-20.1	45
2015-09-14	Parnu Linnameeskond	L 0-1	41.2	929	965	39.63%	19.44%	40.93%	-0.03	-14.7	21
2015-09-14	@ Tammeka	W 1-0	41.2	965	929	40.93%	19.44%	39.63%	+0.03	+14.7	22
2015-09-15	Flora	L 0-2	40.5	1372	1445	34.35%	19.40%	46.25%	-0.19	-24.7	56
2015-09-15	@ Nomme Kalju	W 2-0	40.5	1445	1372	46.25%	19.40%	34.35%	+0.19	+24.7	66
2015-09-15	Paide Linnameeskond	W 5-1	27.4	1480	1031	80.82%	14.91%	4.27%	+2.05	+5.3	65
2015-09-15	@ Levadia	L 1-5	27.4	1031	1480	4.27%	14.91%	80.82%	-2.05	-5.3	20
2015-09-15	Sillamae Kalev	W 3-1	45.9	1335	1376	38.93%	19.44%	41.63%	-0.05	+25.0	51
2015-09-15	@ Infonet	L 1-3	45.9	1376	1335	41.63%	19.44%	38.93%	+0.05	-25.0	45
2015-09-15	Tulevik Viljandi	W 2-0	30.4	1188	992	66.59%	18.28%	15.14%	+0.97	+11.9	42
2015-09-15	@ Narva Trans	L 0-2	30.4	992	1188	15.14%	18.28%	66.59%	-0.97	-11.9	21
2015-09-18	Tammeka	W 2-1	33.2	1470	915	84.36%	13.18%	2.46%	+2.51	+0.9	69
2015-09-18	@ Flora	L 1-2	33.2	915	1470	2.46%	13.18%	84.36%	-2.51	-0.9	21
2015-09-18	Tulevik Viljandi	W 1-0	40.1	980	980	44.66%	19.42%	35.92%	+0.12	+13.6	25
2015-09-18	@ Parnu Linnameeskond	L 0-1	40.1	980	980	35.92%	19.42%	44.66%	-0.12	-13.6	21
2015-09-19	Levadia	D 2-2	64.3	1351	1485	26.82%	19.20%	53.98%	-0.45	+1.6	46
2015-09-19	@ Sillamae Kalev	D 2-2	64.3	1485	1351	53.98%	19.20%	26.82%	+0.45	-1.6	66
2015-09-19	Narva Trans	L 1-2	40.8	1026	1200	22.42%	18.97%	58.62%	-0.62	-8.6	20
2015-09-19	@ Paide Linnameeskond	W 2-1	40.8	1200	1026	58.62%	18.97%	22.42%	+0.62	+8.6	45
2015-09-19	Infonet	D 1-1	56.5	1347	1360	42.82%	19.43%	37.74%	+0.07	-0.4	57
2015-09-19	@ Nomme Kalju	D 1-1	56.5	1360	1347	37.74%	19.43%	42.82%	-0.07	+0.4	52
2015-09-25	Infonet	D 1-1	55.6	914	1361	5.93%	15.89%	78.18%	-1.79	+6.4	22
2015-09-25	@ Tammeka	D 1-1	55.6	1361	914	78.18%	15.89%	5.93%	+1.79	-6.4	53
2015-09-26	Flora	L 0-1	29.6	966	1471	4.42%	15.01%	80.58%	-2.04	-1.8	21
2015-09-26	@ Tulevik Viljandi	W 1-0	29.6	1471	966	80.58%	15.01%	4.42%	+2.04	+1.8	72
2015-09-26	Nomme Kalju	L 1-2	56.7	1483	1347	61.13%	18.80%	20.07%	+0.71	-20.4	66
2015-09-26	@ Levadia	W 2-1	56.7	1347	1483	20.07%	18.80%	61.13%	-0.71	+20.4	60
2015-09-26	Parnu Linnameeskond	W 5-0	26.8	1209	993	68.11%	18.08%	13.80%	+1.05	+25.6	48
2015-09-26	@ Narva Trans	L 0-5	26.8	993	1209	13.80%	18.08%	68.11%	-1.05	-25.6	25
2015-09-26	Sillamae Kalev	D 1-1	55.3	1017	1353	10.39%	17.42%	72.19%	-1.32	+5.4	21
2015-09-26	@ Paide Linnameeskond	D 1-1	55.3	1353	1017	72.19%	17.42%	10.39%	+1.32	-5.4	47
2015-10-01	Tulevik Viljandi	W 2-1	34.9	1354	964	78.41%	15.82%	5.78%	+1.80	+2.3	56
2015-10-01	@ Infonet	L 1-2	34.9	964	1354	5.78%	15.82%	78.41%	-1.80	-2.3	21
2015-10-02	Parnu Linnameeskond	W 4-0	22.6	1473	968	82.80%	14.00%	3.20%	+2.29	+4.7	75
2015-10-02	@ Flora	L 0-4	22.6	968	1473	3.20%	14.00%	82.80%	-2.29	-4.7	25
2015-10-03	Narva Trans	W 2-0	33.6	1347	1234	58.67%	18.96%	22.37%	+0.61	+17.1	50
2015-10-03	@ Sillamae Kalev	L 0-2	33.6	1234	1347	22.37%	18.96%	58.67%	-0.61	-17.1	48
2015-10-03	Paide Linnameeskond	W 1-0	30.8	1367	1022	76.26%	16.48%	7.27%	+1.60	+3.1	63
2015-10-03	@ Nomme Kalju	L 0-1	30.8	1022	1367	7.27%	16.48%	76.26%	-1.60	-3.1	21
2015-10-03	Tammeka	W 1-0	28.5	1463	920	83.98%	13.39%	2.63%	+2.45	+1.1	69
2015-10-03	@ Levadia	L 0-1	28.5	920	1463	2.63%	13.39%	83.98%	-2.45	-1.1	22
2015-10-17	Flora	L 1-3	37.4	1217	1477	15.02%	18.26%	66.72%	-0.99	-10.3	48
2015-10-17	@ Narva Trans	W 3-1	37.4	1477	1217	66.72%	18.26%	15.02%	+0.99	+10.3	78
2015-10-17	Levadia	L 0-3	24.2	962	1464	4.48%	15.05%	80.46%	-2.03	-5.1	21
2015-10-17	@ Tulevik Viljandi	W 3-0	24.2	1464	962	80.46%	15.05%	4.48%	+2.03	+5.1	72
2015-10-17	Nomme Kalju	L 0-4	38.5	1364	1370	43.87%	19.43%	36.70%	+0.10	-57.2	50
2015-10-17	@ Sillamae Kalev	W 4-0	38.5	1370	1364	36.70%	19.43%	43.87%	-0.10	+57.2	66
2015-10-17	Infonet	L 0-4	24.6	963	1357	7.77%	16.66%	75.56%	-1.56	-11.8	25
2015-10-17	@ Parnu Linnameeskond	W 4-0	24.6	1357	963	75.56%	16.66%	7.77%	+1.56	+11.8	59
2015-10-18	Tammeka	W 4-0	29.9	1019	919	57.30%	19.04%	23.66%	+0.55	+34.1	24
2015-10-18	@ Paide Linnameeskond	L 0-4	29.9	919	1019	23.66%	19.04%	57.30%	-0.55	-34.0	22
2015-10-23	Sillamae Kalev	L 1-4	29.9	885	1307	6.73%	16.26%	77.01%	-1.69	-6.6	22
2015-10-23	@ Tammeka	W 4-1	29.9	1307	885	77.01%	16.26%	6.73%	+1.69	+6.6	53
2015-10-24	Flora	L 0-1	42.9	1368	1488	28.53%	19.26%	52.21%	-0.39	-11.2	59
2015-10-24	@ Infonet	W 1-0	42.9	1488	1368	52.21%	19.26%	28.53%	+0.39	+11.2	81
2015-10-24	Narva Trans	D 1-1	56.1	1427	1207	68.48%	18.03%	13.48%	+1.07	-4.8	67
2015-10-24	@ Nomme Kalju	D 1-1	56.1	1207	1427	13.48%	18.03%	68.48%	-1.07	+4.8	49
2015-10-24	Paide Linnameeskond	L 2-3	48.5	957	1053	31.40%	19.34%	49.26%	-0.29	-10.9	21
2015-10-24	@ Tulevik Viljandi	W 3-2	48.5	1053	957	49.26%	19.34%	31.40%	+0.29	+10.8	27
2015-10-24	Parnu Linnameeskond	D 0-0	52.4	1469	951	83.21%	13.80%	2.99%	+2.35	-7.9	73
2015-10-24	@ Levadia	D 0-0	52.4	951	1469	2.99%	13.80%	83.21%	-2.35	+7.9	26
2015-10-30	Infonet	L 0-1	37.6	1212	1357	25.52%	19.14%	55.34%	-0.50	-10.2	49
2015-10-30	@ Narva Trans	W 1-0	37.6	1357	1212	55.34%	19.14%	25.52%	+0.50	+10.2	62
2015-10-31	Flora	L 0-2	46.5	1461	1499	39.32%	19.44%	41.24%	-0.04	-27.6	73
2015-10-31	@ Levadia	W 2-0	46.5	1499	1461	41.24%	19.44%	39.32%	+0.04	+27.5	84
2015-10-31	Paide Linnameeskond	L 0-1	38.4	959	1064	30.29%	19.31%	50.40%	-0.33	-11.8	26
2015-10-31	@ Parnu Linnameeskond	W 1-0	38.4	1064	959	50.40%	19.31%	30.29%	+0.33	+11.8	30
2015-11-01	Tammeka	W 1-0	28.4	1422	878	84.02%	13.37%	2.61%	+2.46	+1.0	70
2015-11-01	@ Nomme Kalju	L 0-1	28.4	878	1422	2.61%	13.37%	84.02%	-2.46	-1.0	22
2015-11-01	Tulevik Viljandi	W 2-1	35.2	1314	946	77.37%	16.15%	6.48%	+1.70	+2.6	56
2015-11-01	@ Sillamae Kalev	L 1-2	35.2	946	1314	6.48%	16.15%	77.37%	-1.70	-2.6	21
2015-11-07	Flora	W 2-1	57.5	1076	1526	5.82%	15.84%	78.33%	-1.81	+25.8	33
2015-11-07	@ Paide Linnameeskond	L 1-2	57.5	1526	1076	78.33%	15.84%	5.82%	+1.81	-25.8	84
2015-11-07	Narva Trans	W 2-1	55.1	877	1202	10.99%	17.56%	71.45%	-1.27	+23.7	25
2015-11-07	@ Tammeka	L 1-2	55.1	1202	877	71.45%	17.56%	10.99%	+1.27	-23.7	49
2015-11-07	Nomme Kalju	D 2-2	61.1	944	1423	5.01%	15.40%	79.59%	-1.93	+4.9	22
2015-11-07	@ Tulevik Viljandi	D 2-2	61.1	1423	944	79.59%	15.40%	5.01%	+1.93	-4.9	71
2015-11-07	Sillamae Kalev	L 1-2	36.1	947	1316	8.80%	17.00%	74.20%	-1.46	-3.5	26
2015-11-07	@ Parnu Linnameeskond	W 2-1	36.1	1316	947	74.20%	17.00%	8.80%	+1.46	+3.5	59
2015-11-07	Infonet	W 5-0	34.9	1434	1367	53.33%	19.22%	27.45%	+0.41	+47.8	76
2015-11-07	@ Levadia	L 0-5	34.9	1367	1434	27.45%	19.22%	53.33%	-0.41	-47.8	62

Biggest Upsets

The 25 games where the underdog won despite the lowest pregame win probability. Underdog Win % is the winner's pregame chance of winning the game (lower = bigger upset). @ before a team name indicates the away side. An asterisk (*) after the date marks a playoff game.

#	Date	Underdog Win %	Winning Team			Losing Team
#	Date	Underdog Win %	Team	Elo	Score	Team	Elo	Score
1	2015-05-08	4.87%	@ Narva Trans	1013	2	Nomme Kalju	1499	0
2	2015-09-11	5.59%	@ Parnu Linnameeskond	939	2	Nomme Kalju	1398	1
3	2015-11-07	5.82%	@ Paide Linnameeskond	1076	2	Flora	1526	1
4	2015-06-02	6.57%	Paide Linnameeskond	963	3	@ Infonet	1327	2
5	2015-09-12	7.26%	Narva Trans	1161	1	@ Levadia	1506	0
6	2015-08-14	7.72%	@ Paide Linnameeskond	1038	5	Nomme Kalju	1433	4
7	2015-08-08	8.63%	Narva Trans	1107	3	@ Flora	1417	2
8	2015-11-07	10.99%	@ Tammeka	877	2	Narva Trans	1202	1
9	2015-06-05	12.08%	Narva Trans	1126	1	@ Flora	1369	0
10	2015-06-26	12.34%	@ Tulevik Viljandi	1108	1	Nomme Kalju	1408	0
11	2015-09-26	20.07%	Nomme Kalju	1347	2	@ Levadia	1483	1
12	2015-04-17	23.06%	@ Infonet	1276	1	Sillamae Kalev	1445	0
13	2015-06-27	23.83%	Flora	1344	2	@ Sillamae Kalev	1443	1
14	2015-05-25	24.56%	@ Paide Linnameeskond	943	1	Narva Trans	1097	0
15	2015-08-22	25.11%	Parnu Linnameeskond	939	2	@ Tulevik Viljandi	1026	1
16	2015-06-06	25.33%	@ Parnu Linnameeskond	979	2	Tulevik Viljandi	1126	1
17	2015-05-16	26.32%	@ Infonet	1308	1	Nomme Kalju	1446	0
18	2015-08-28	29.04%	Tammeka	905	1	@ Parnu Linnameeskond	958	0
19	2015-05-22	30.97%	@ Narva Trans	1063	2	Tulevik Viljandi	1163	0
20	2015-04-18	31.35%	Tammeka	990	3	@ Paide Linnameeskond	1025	2
21	2015-04-04	31.50%	Nomme Kalju	1418	3	@ Sillamae Kalev	1451	2
22	2015-06-06	31.66%	Sillamae Kalev	1410	2	@ Nomme Kalju	1442	0
23	2015-05-23	31.78%	Levadia	1396	2	@ Nomme Kalju	1427	1
24	2015-03-21	32.04%	@ Flora	1377	1	Sillamae Kalev	1468	0
25	2015-08-03	32.63%	Flora	1400	1	@ Sillamae Kalev	1424	0

Biggest Elo Changes

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

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2015-10-17	57.19	Nomme Kalju	4	1370	36.70%	@ Sillamae Kalev	0	1364	43.87%	19.43%
2	2015-05-08	52.36	@ Narva Trans	2	1013	4.87%	Nomme Kalju	0	1499	79.82%	15.31%
3	2015-06-02	49.16	@ Narva Trans	6	1077	57.69%	Tammeka	0	973	23.29%	19.02%
4	2015-11-07	47.76	@ Levadia	5	1434	53.33%	Infonet	0	1367	27.45%	19.22%
5	2015-08-01	38.49	@ Paide Linnameeskond	4	1013	34.51%	Tulevik Viljandi	1	1085	46.09%	19.40%
6	2015-10-18	34.05	@ Paide Linnameeskond	4	1019	57.30%	Tammeka	0	919	23.66%	19.04%
7	2015-05-22	33.56	@ Narva Trans	2	1063	30.97%	Tulevik Viljandi	0	1163	49.70%	19.33%
8	2015-06-06	33.14	Sillamae Kalev	2	1410	31.66%	@ Nomme Kalju	0	1442	48.99%	19.35%
9	2015-06-27	33.09	@ Paide Linnameeskond	4	980	42.18%	Parnu Linnameeskond	1	998	38.38%	19.44%
10	2015-05-02	32.50	Tulevik Viljandi	3	1105	50.11%	@ Paide Linnameeskond	0	1002	30.56%	19.32%
11	2015-03-07	31.04	@ Narva Trans	5	1008	38.22%	Parnu Linnameeskond	2	1054	42.35%	19.44%
12	2015-05-26	28.22	@ Levadia	2	1413	40.06%	Sillamae Kalev	0	1445	40.50%	19.44%
13	2015-04-11	27.80	Nomme Kalju	2	1433	40.80%	@ Flora	0	1399	39.76%	19.44%
14	2015-10-31	27.56	Flora	2	1499	41.24%	@ Levadia	0	1461	39.32%	19.44%
15	2015-04-11	27.49	@ Tammeka	3	969	33.96%	Narva Trans	1	1045	46.65%	19.39%
16	2015-09-12	26.73	Narva Trans	1	1161	7.26%	@ Levadia	0	1506	76.27%	16.47%
17	2015-04-18	25.88	Nomme Kalju	2	1463	44.17%	@ Levadia	0	1404	36.41%	19.42%
18	2015-09-11	25.88	@ Parnu Linnameeskond	2	939	5.59%	Nomme Kalju	1	1398	78.68%	15.72%
19	2015-11-07	25.79	@ Paide Linnameeskond	2	1076	5.82%	Flora	1	1526	78.33%	15.84%
20	2015-09-26	25.59	@ Narva Trans	5	1209	68.11%	Parnu Linnameeskond	0	993	13.80%	18.08%
21	2015-03-13	25.05	Flora	2	1352	45.60%	@ Infonet	0	1283	34.99%	19.41%
22	2015-09-15	24.99	@ Infonet	3	1335	38.93%	Sillamae Kalev	1	1376	41.63%	19.44%
23	2015-06-05	24.69	Narva Trans	1	1126	12.08%	@ Flora	0	1369	70.13%	17.79%
24	2015-09-15	24.67	Flora	2	1445	46.25%	@ Nomme Kalju	0	1372	34.35%	19.40%
25	2015-06-26	24.59	@ Tulevik Viljandi	1	1108	12.34%	Nomme Kalju	0	1408	69.83%	17.83%

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 %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2015-04-13	68.7	@ Sillamae Kalev	3	1446	50.34%	Levadia	3	1403	30.34%	19.32%
2	2015-08-14	65.7	@ Paide Linnameeskond	5	1038	7.72%	Nomme Kalju	4	1433	75.64%	16.64%
3	2015-07-20	65.4	@ Sillamae Kalev	3	1421	82.00%	Parnu Linnameeskond	3	940	3.62%	14.39%
4	2015-09-19	64.3	@ Sillamae Kalev	2	1351	26.82%	Levadia	2	1485	53.98%	19.20%
5	2015-07-25	63.8	@ Paide Linnameeskond	3	1014	53.76%	Parnu Linnameeskond	3	944	27.03%	19.20%
6	2015-07-18	63.0	@ Infonet	2	1306	23.13%	Levadia	2	1473	57.85%	19.01%
7	2015-08-21	62.4	@ Infonet	2	1343	34.97%	Nomme Kalju	2	1412	45.62%	19.41%
8	2015-06-02	61.3	Paide Linnameeskond	3	963	6.57%	@ Infonet	2	1327	77.24%	16.19%
9	2015-08-08	61.2	Narva Trans	3	1107	8.63%	@ Flora	2	1417	74.42%	16.95%
10	2015-11-07	61.1	@ Tulevik Viljandi	2	944	5.01%	Nomme Kalju	2	1423	79.59%	15.40%
11	2015-04-25	60.6	@ Parnu Linnameeskond	2	1002	8.45%	Levadia	2	1379	74.66%	16.89%
12	2015-04-04	60.4	@ Infonet	2	1254	73.19%	Tammeka	2	965	9.59%	17.22%
13	2015-07-27	60.1	@ Flora	1	1402	34.92%	Levadia	1	1471	45.67%	19.41%
14	2015-08-18	59.9	@ Parnu Linnameeskond	2	936	20.07%	Narva Trans	2	1135	61.13%	18.80%
15	2015-03-21	59.7	@ Parnu Linnameeskond	2	1040	45.05%	Paide Linnameeskond	2	1038	35.53%	19.41%
16	2015-04-04	59.2	Nomme Kalju	3	1418	31.50%	@ Sillamae Kalev	2	1451	49.15%	19.35%
17	2015-11-07	57.5	@ Paide Linnameeskond	2	1076	5.82%	Flora	1	1526	78.33%	15.84%
18	2015-05-09	57.4	@ Levadia	1	1391	47.37%	Flora	1	1371	33.25%	19.38%
19	2015-08-18	57.1	@ Nomme Kalju	0	1410	32.86%	Levadia	0	1495	47.77%	19.37%
20	2015-09-11	56.8	@ Parnu Linnameeskond	2	939	5.59%	Nomme Kalju	1	1398	78.68%	15.72%
21	2015-09-26	56.7	Nomme Kalju	2	1347	20.07%	@ Levadia	1	1483	61.13%	18.80%
22	2015-09-19	56.5	@ Nomme Kalju	1	1347	42.82%	Infonet	1	1360	37.74%	19.43%
23	2015-10-24	56.1	@ Nomme Kalju	1	1427	68.48%	Narva Trans	1	1207	13.48%	18.03%
24	2015-03-14	55.7	@ Levadia	1	1396	76.87%	Narva Trans	1	1039	6.83%	16.30%
25	2015-07-13	55.7	@ Paide Linnameeskond	1	1010	6.90%	Sillamae Kalev	1	1427	76.77%	16.33%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2015-10-02	22.6	@ Flora	4	1473	82.80%	Parnu Linnameeskond	0	968	3.20%	14.00%
2	2015-08-01	23.1	Levadia	5	1470	81.32%	@ Parnu Linnameeskond	0	946	3.99%	14.69%
3	2015-05-01	23.5	@ Sillamae Kalev	4	1427	79.67%	Tammeka	0	1008	4.96%	15.36%
4	2015-05-08	24.2	Sillamae Kalev	5	1435	77.60%	@ Tammeka	0	1000	6.32%	16.08%
5	2015-10-17	24.2	Levadia	3	1464	80.46%	@ Tulevik Viljandi	0	962	4.48%	15.05%
6	2015-07-27	24.3	Nomme Kalju	3	1404	79.61%	@ Tammeka	0	923	5.00%	15.39%
7	2015-08-08	24.4	Levadia	4	1481	77.60%	@ Tulevik Viljandi	0	1047	6.32%	16.08%
8	2015-03-07	24.6	@ Nomme Kalju	3	1389	78.82%	Tammeka	0	990	5.51%	15.68%
9	2015-05-16	24.6	@ Levadia	3	1390	78.92%	Parnu Linnameeskond	0	988	5.44%	15.64%
10	2015-10-17	24.6	Infonet	4	1357	75.56%	@ Parnu Linnameeskond	0	963	7.77%	16.66%
11	2015-05-26	25.0	Nomme Kalju	3	1411	77.47%	@ Parnu Linnameeskond	0	979	6.41%	16.12%
12	2015-05-26	25.1	@ Flora	7	1378	78.40%	Tammeka	0	988	5.78%	15.82%
13	2015-08-15	25.6	Levadia	6	1491	83.02%	@ Tammeka	1	917	3.09%	13.89%
14	2015-07-20	25.7	@ Nomme Kalju	4	1389	72.87%	Tulevik Viljandi	0	1105	9.85%	17.29%
15	2015-03-14	26.5	Nomme Kalju	3	1396	72.90%	@ Paide Linnameeskond	0	1049	9.82%	17.28%
16	2015-09-26	26.8	@ Narva Trans	5	1209	68.11%	Parnu Linnameeskond	0	993	13.80%	18.08%
17	2015-09-15	27.4	@ Levadia	5	1480	80.82%	Paide Linnameeskond	1	1031	4.27%	14.91%
18	2015-04-10	27.6	Sillamae Kalev	6	1435	76.75%	@ Parnu Linnameeskond	1	1019	6.92%	16.34%
19	2015-06-05	27.8	Levadia	5	1448	78.80%	@ Paide Linnameeskond	1	987	5.52%	15.68%
20	2015-08-14	27.8	Flora	5	1394	78.32%	@ Parnu Linnameeskond	1	944	5.84%	15.85%
21	2015-07-13	27.9	Flora	4	1375	65.57%	@ Tulevik Viljandi	0	1129	16.03%	18.39%
22	2015-04-25	28.2	Flora	2	1381	74.40%	@ Paide Linnameeskond	0	1009	8.65%	16.95%
23	2015-05-08	28.2	@ Infonet	2	1301	74.15%	Parnu Linnameeskond	0	995	8.84%	17.01%
24	2015-07-31	28.3	@ Sillamae Kalev	4	1421	82.76%	Tammeka	1	918	3.22%	14.02%
25	2015-11-01	28.4	@ Nomme Kalju	1	1422	84.02%	Tammeka	0	878	2.61%	13.37%