2013 Meistriliiga Season

180 games

Final

Champion

Levadia

91 points · 8th Title

Last Title: 2009

Relegated

No relegation

Biggest Overachiever

Levadia

11.74 points above expected

91 points · 79.26 expected points

Biggest Disappointment

Kuressaare

12.99 points below expected

11 points · 23.99 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	Levadia Champion	36	30	1	5	91	69	24	+45	79.26	+11.74
2	Nomme Kalju	36	26	6	4	84	78	23	+55	79.49	+4.51
3	Sillamae Kalev	36	23	6	7	75	75	22	+53	63.43	+11.57
4	Flora	36	21	5	10	68	83	40	+43	74.86	-6.86
5	Paide Linnameeskond	36	15	2	19	47	43	58	-15	46.09	+0.91
6	Infonet	36	10	8	18	38	36	56	-20	43.10	-5.10
7	Narva Trans	36	11	3	22	36	39	55	-16	45.90	-9.90
8	Tallinna Kalev	36	10	4	22	34	35	77	-42	25.35	+8.65
9	Tammeka	36	8	8	20	32	30	68	-38	33.76	-1.76
10	Kuressaare	36	2	5	29	11	22	87	-65	23.99	-12.99

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	Levadia	91	79.26	+11.74
2	Sillamae Kalev	75	63.43	+11.57
3	Tallinna Kalev	34	25.35	+8.65
4	Nomme Kalju	84	79.49	+4.51
5	Paide Linnameeskond	47	46.09	+0.91

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Kuressaare	11	23.99	-12.99
2	Narva Trans	36	45.90	-9.90
3	Flora	68	74.86	-6.86
4	Infonet	38	43.10	-5.10
5	Tammeka	32	33.76	-1.76

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	Narva Trans	4	May 14 – May 30	1 in 79
2	Levadia	8	Apr 13 – May 24	1 in 32
3	Paide Linnameeskond	3	Mar 30 – Apr 20	1 in 23
4	Infonet	2	Aug 20 – Aug 23	1 in 17
5	Sillamae Kalev	6	Jul 6 – Aug 9	1 in 16

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Narva Trans	4	Mar 2 – Mar 30	1 in 47
2	Infonet	4	Oct 19 – Nov 2	1 in 20
3	Kuressaare	9	Sep 17 – Nov 9	1 in 15
4	Sillamae Kalev	2	May 11 – May 14	1 in 10
5	Tallinna Kalev	4	May 21 – Jun 8	1 in 6

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Sillamae Kalev	11	May 21 – Aug 9	1 in 78
2	Narva Trans	4	May 14 – May 30	1 in 16
3	Nomme Kalju	15	Jun 18 – Sep 28	1 in 15
4	Infonet	3	Jul 12 – Jul 27	1 in 10
5	Paide Linnameeskond	3	Mar 30 – Apr 20	1 in 8

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Narva Trans	10	Mar 2 – May 10	1 in 686
2	Tammeka	10	Aug 9 – Oct 1	1 in 79
3	Infonet	6	Sep 28 – Nov 2	1 in 20
4	Kuressaare	16	Aug 2 – Nov 9	1 in 12
5	Levadia	2	Mar 30 – Apr 6	1 in 5

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
Levadia	1378	91	+39	15	11.5	+3.5
Nomme Kalju	1382	84	+21	13	12.3	+0.7
Sillamae Kalev	1325	75	+99	15	11.4	+3.6
Flora	1218	68	-42	7	8.5	-1.5
Paide Linnameeskond	924	47	-36	6	6.7	-0.7
Infonet	960	38	-54	3	5.6	-2.6
Narva Trans	1030	36	+62	9	7.9	+1.1
Tallinna Kalev	822	34	+27	6	4.0	+2.0
Tammeka	841	32	-32	3	3.6	-0.6
Kuressaare	664	11	-22	0	1.6	-1.6

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	KUR	LEV	NT	NK	PL	SK	TK	TAM
Flora	—	2-1-1 9.09	4-0-0 10.40	0-0-4 5.51	4-0-0 8.85	1-1-2 5.20	3-1-0 9.13	1-0-3 7.19	3-1-0 10.34	3-1-0 9.93
Infonet	1-1-2 2.37	—	1-3-0 8.74	0-0-4 1.68	3-1-0 5.13	0-1-3 1.72	0-0-4 5.87	1-0-3 3.23	2-0-2 8.11	2-2-0 7.04
Kuressaare	0-0-4 1.11	0-3-1 2.71	—	0-0-4 0.98	2-0-2 2.97	0-0-4 0.94	0-0-4 2.60	0-0-4 1.77	0-0-4 5.64	0-2-2 3.73
Levadia	4-0-0 5.92	4-0-0 9.79	4-0-0 10.55	—	3-0-1 9.24	2-0-2 5.27	4-0-0 9.45	2-1-1 7.85	4-0-0 10.45	3-0-1 10.11
Narva Trans	0-0-4 2.60	0-1-3 6.31	2-0-2 8.49	1-0-3 2.22	—	1-0-3 1.90	3-0-1 5.52	0-0-4 3.72	3-1-0 8.42	1-1-2 7.80
Nomme Kalju	2-1-1 6.23	3-1-0 9.75	4-0-0 10.58	2-0-2 6.17	3-0-1 9.57	—	4-0-0 9.68	1-3-0 7.70	3-1-0 10.52	4-0-0 10.20
Paide Linnameeskond	0-1-3 2.33	4-0-0 5.56	4-0-0 8.86	0-0-4 2.03	1-0-3 5.91	0-0-4 1.80	—	1-0-3 3.11	3-0-1 8.35	2-1-1 7.19
Sillamae Kalev	3-0-1 4.25	3-0-1 8.21	4-0-0 9.72	1-1-2 3.59	4-0-0 7.73	0-3-1 3.74	3-0-1 8.34	—	2-1-1 9.79	3-1-0 9.45
Tallinna Kalev	0-1-3 1.16	2-0-2 3.34	4-0-0 5.80	0-0-4 1.06	0-1-3 3.03	0-1-3 0.99	1-0-3 3.10	1-1-2 1.69	—	2-0-2 4.51
Tammeka	0-1-3 1.55	0-2-2 4.40	2-2-0 7.71	1-0-3 1.38	2-1-1 3.64	0-0-4 1.29	1-1-2 4.25	0-1-3 2.02	2-0-2 6.93	—

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	+10.7
Allowed	0.92	-10.9
Differential	0.93	+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	5.00%	9.17%	6.67%	5.83%	2.50%	2.50%	31.67%
1	9.17%	7.22%	7.50%	3.61%	2.22%	—	29.72%
2	6.67%	7.50%	1.11%	1.39%	1.11%	0.28%	18.06%
3	5.83%	3.61%	1.39%	—	0.56%	—	11.39%
4	2.50%	2.22%	1.11%	0.56%	—	—	6.39%
5+	2.50%	—	0.28%	—	—	—	2.78%
Total	31.67%	29.72%	18.06%	11.39%	6.39%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.42	1.42	+0.00
SD	1.43	1.43	2.32
CV	1.01	1.01	—
Max	9	9	+9
Min	0	0	-9

Games Played: 180

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	2.78%	—	8.33%	—	—	13.89%
1	11.11%	5.56%	8.33%	2.78%	—	—	27.78%
2	8.33%	2.78%	5.56%	2.78%	—	—	19.44%
3	5.56%	—	—	—	2.78%	—	8.33%
4	5.56%	8.33%	5.56%	—	—	—	19.44%
5+	11.11%	—	—	—	—	—	11.11%
Total	44.44%	19.44%	19.44%	13.89%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.31	1.11	+1.19
SD	1.75	1.21	2.45
CV	0.76	1.09	—
Max	6	4	+6
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	8.33%	11.11%	11.11%	2.78%	2.78%	41.67%
1	5.56%	16.67%	11.11%	2.78%	—	—	36.11%
2	2.78%	2.78%	—	—	—	—	5.56%
3	5.56%	2.78%	5.56%	—	—	—	13.89%
4	—	2.78%	—	—	—	—	2.78%
5+	—	—	—	—	—	—	—
Total	19.44%	33.33%	27.78%	13.89%	2.78%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.00	1.56	-0.56
SD	1.15	1.21	1.95
CV	1.15	0.78	—
Max	4	5	+3
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	13.89%	5.56%	5.56%	11.11%	5.56%	50.00%
1	2.78%	5.56%	11.11%	11.11%	8.33%	—	38.89%
2	2.78%	—	—	2.78%	5.56%	—	11.11%
3	—	—	—	—	—	—	—
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	13.89%	19.44%	16.67%	19.44%	25.00%	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.61	2.42	-1.81
SD	0.69	1.59	1.69
CV	1.13	0.66	—
Max	2	6	+2
Min	0	0	-6

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	5.56%	2.78%	—	—	—	11.11%
1	25.00%	—	5.56%	—	—	—	30.56%
2	8.33%	19.44%	—	—	—	—	27.78%
3	11.11%	8.33%	—	—	—	—	19.44%
4	—	2.78%	2.78%	2.78%	—	—	8.33%
5+	2.78%	—	—	—	—	—	2.78%
Total	50.00%	36.11%	11.11%	2.78%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.92	0.67	+1.25
SD	1.25	0.79	1.38
CV	0.65	1.19	—
Max	5	3	+5
Min	0	0	-2

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	13.89%	13.89%	5.56%	2.78%	—	36.11%
1	5.56%	8.33%	13.89%	2.78%	2.78%	—	33.33%
2	8.33%	5.56%	—	5.56%	—	—	19.44%
3	2.78%	5.56%	—	—	—	—	8.33%
4	2.78%	—	—	—	—	—	2.78%
5+	—	—	—	—	—	—	—
Total	19.44%	33.33%	27.78%	13.89%	5.56%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.08	1.53	-0.44
SD	1.08	1.13	1.86
CV	1.00	0.74	—
Max	4	4	+4
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	5.56%	2.78%	—	—	—	11.11%
1	11.11%	11.11%	2.78%	—	—	—	25.00%
2	13.89%	5.56%	2.78%	—	—	—	22.22%
3	13.89%	5.56%	2.78%	—	—	—	22.22%
4	11.11%	—	2.78%	2.78%	—	—	16.67%
5+	2.78%	—	—	—	—	—	2.78%
Total	55.56%	27.78%	13.89%	2.78%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.17	0.64	+1.53
SD	1.36	0.83	1.66
CV	0.63	1.30	—
Max	5	3	+5
Min	0	0	-2

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	16.67%	5.56%	8.33%	2.78%	5.56%	44.44%
1	11.11%	—	2.78%	5.56%	—	—	19.44%
2	2.78%	16.67%	—	2.78%	—	—	22.22%
3	2.78%	—	—	—	2.78%	—	5.56%
4	2.78%	2.78%	—	—	—	—	5.56%
5+	—	—	2.78%	—	—	—	2.78%
Total	25.00%	36.11%	11.11%	16.67%	5.56%	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.19	1.61	-0.42
SD	1.45	1.54	2.31
CV	1.21	0.95	—
Max	6	6	+4
Min	0	0	-6

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	11.11%	—	2.78%	—	—	22.22%
1	2.78%	8.33%	5.56%	—	—	—	16.67%
2	16.67%	11.11%	—	—	—	—	27.78%
3	13.89%	2.78%	2.78%	—	—	—	19.44%
4	2.78%	2.78%	—	—	—	—	5.56%
5+	8.33%	—	—	—	—	—	8.33%
Total	52.78%	36.11%	8.33%	2.78%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.08	0.61	+1.47
SD	1.90	0.77	2.29
CV	0.91	1.25	—
Max	9	3	+9
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	8.33%	11.11%	2.78%	2.78%	8.33%	36.11%
1	13.89%	8.33%	8.33%	5.56%	8.33%	—	44.44%
2	—	2.78%	—	—	5.56%	—	8.33%
3	—	8.33%	—	—	—	—	8.33%
4	—	2.78%	—	—	—	—	2.78%
5+	—	—	—	—	—	—	—
Total	16.67%	30.56%	19.44%	8.33%	16.67%	8.33%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.97	2.14	-1.17
SD	1.03	1.91	2.38
CV	1.06	0.90	—
Max	4	9	+3
Min	0	0	-9

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	5.56%	13.89%	13.89%	2.78%	2.78%	50.00%
1	2.78%	8.33%	5.56%	5.56%	2.78%	—	25.00%
2	2.78%	8.33%	2.78%	—	—	2.78%	16.67%
3	2.78%	2.78%	2.78%	—	—	—	8.33%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	19.44%	25.00%	25.00%	19.44%	5.56%	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.83	1.89	-1.06
SD	1.00	1.55	1.97
CV	1.20	0.82	—
Max	3	6	+3
Min	0	0	-6

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
Nomme Kalju	1382	84	79.49	+4.51	77.0%	63	69	75	79	84	89	93
Levadia	1378	91	79.26	+11.74	97.0%	59	67	75	80	84	89	98
Sillamae Kalev	1325	75	63.43	+11.57	97.0%	45	49	58	64	68	74	84
Flora	1218	68	74.86	-6.86	18.0%	60	63	70	74	79	86	91
Narva Trans	1030	36	45.90	-9.90	8.0%	28	34	42	46	50	56	70
Infonet	960	38	43.10	-5.10	24.0%	27	30	39	43	48	54	66
Paide Linnameeskond	924	47	46.09	+0.91	59.0%	28	32	40	46	52	60	65
Tammeka	841	32	33.76	-1.76	45.0%	17	22	28	34	39	45	54
Tallinna Kalev	822	34	25.35	+8.65	92.0%	11	15	21	25	29	36	46
Kuressaare	664	11	23.99	-12.99	5.0%	7	11	19	24	29	35	38

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

+12.22%

Strong Edge

49.44%13.33%37.22%

Elo Value

Home Edge: 42.68 Elo pts.

191 Elo

0.005 goals per Elo point

0500

Scoring Tilt

Expected

+0.14 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

2.8

Top-Heavy

123410

Champion Preseason Odds

40%

Levadia, 1st of 10

LongshotFavorite

Title Margin

Expected

0.19/gm

Comfortable

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 5.66 * Some Luck: 5.66 to 8.49 * Lucky: 8.49 to 11.32 * Wild Swing: 11.32 and up.
Average Finish Error: Average gap between where each team was projected to finish and where they actually finished in the table.
Pinpoint: under 0.61 * Close: 0.61 to 0.91 * Off: 0.91 to 1.21 * Way Off: 1.21 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

8.43 points

Some Luck

07.0818

Average Finish Error

Expected

0.80

00.762

Biggest Overachiever

Expected 95.00%

97.00%

Levadia

50100

Biggest Underachiever

Expected 5.00%

5.00%

Kuressaare

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: 256.02

3.11

Strong Separation

12.733.33.75

Interquartile Edge

92%

Clear Edge

50%87.5%100%

Best vs. Worst

Baseline 99%

98%

Clear Edge

50%100%

Close Games

Expected

51%

Very Frequent

0%47%100%

Blowouts

Expected

27%

Rare

0%29%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

0.45

Highly Predictable

00.462

Matchup Imbalance

0.56

Slight Separation

00.5

Strangeness

Expected

1.49

Chaotic

01.002

Repeatability

0.81

Some Carryover

00.70.841

Upset Rate

Expected

19%

Very Upset-Prone

0%19%50%

Clear Favorite Upset Rate

Expected

16%

Very Shaky

0%16%50%

Calibration

How these are measured

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

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

Probability calibration

0.86

Excellent

0.010.050.10.51

Calibration slope

Ideal

1.09

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.044

Well Within Noise

00.1110.25

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
Levadia	40.00%	35.00%	22.00%	3.00%	—	—	—	—	—	—
Nomme Kalju	39.00%	33.00%	25.00%	3.00%	—	—	—	—	—	—
Sillamae Kalev	1.00%	4.00%	14.00%	67.00%	12.00%	2.00%	—	—	—	—
Flora	20.00%	28.00%	38.00%	14.00%	—	—	—	—	—	—
Paide Linnameeskond	—	—	—	9.00%	36.00%	23.00%	22.00%	6.00%	3.00%	1.00%
Infonet	—	—	—	2.00%	18.00%	32.00%	30.00%	14.00%	4.00%	—
Narva Trans	—	—	1.00%	2.00%	29.00%	32.00%	30.00%	6.00%	—	—
Tallinna Kalev	—	—	—	—	1.00%	1.00%	2.00%	16.00%	43.00%	37.00%
Tammeka	—	—	—	—	4.00%	9.00%	14.00%	43.00%	22.00%	8.00%
Kuressaare	—	—	—	—	—	1.00%	2.00%	15.00%	28.00%	54.00%

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	96.00%	4.00%	—
Levadia	100%	—	—
Narva Trans	100%	—	—
Nomme Kalju	100%	—	—
Sillamae Kalev	100%	—	—
Paide Linnameeskond	96.00%	3.00%	1.00%
Tammeka	70.00%	22.00%	8.00%
Tallinna Kalev	20.00%	43.00%	37.00%
Kuressaare	18.00%	28.00%	54.00%

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
2013-03-02	Kuressaare	D 0-0	52.4	1046	874	68.69%	13.73%	17.58%	+1.12	-4.8	1
2013-03-02	@ Infonet	D 0-0	52.4	874	1046	17.58%	13.73%	68.69%	-1.12	+4.8	1
2013-03-02	Nomme Kalju	L 2-3	43.7	984	1275	15.25%	13.61%	71.13%	-1.30	-5.2	0
2013-03-02	@ Paide Linnameeskond	W 3-2	43.7	1275	984	71.13%	13.61%	15.25%	+1.30	+5.2	3
2013-03-02	Sillamae Kalev	L 1-2	50.9	1112	1058	56.33%	14.05%	29.62%	+0.51	-18.1	0
2013-03-02	@ Narva Trans	W 2-1	50.9	1058	1112	29.62%	14.05%	56.33%	-0.51	+18.1	3
2013-03-02	Tallinna Kalev	W 4-1	29.9	1242	806	83.21%	12.26%	4.54%	+2.51	+4.1	3
2013-03-02	@ Flora	L 1-4	29.9	806	1242	4.54%	12.26%	83.21%	-2.51	-4.1	0
2013-03-02	Tammeka	W 3-1	33.9	1233	912	78.69%	13.00%	8.30%	+1.91	+5.3	3
2013-03-02	@ Levadia	L 1-3	33.9	912	1233	8.30%	13.00%	78.69%	-1.91	-5.3	0
2013-03-09	Flora	L 0-6	28.2	979	1247	17.06%	13.71%	69.24%	-1.18	-34.1	0
2013-03-09	@ Paide Linnameeskond	W 6-0	28.2	1247	979	69.24%	13.71%	17.06%	+1.18	+34.1	6
2013-03-09	Kuressaare	W 2-1	35.1	1280	879	82.03%	12.50%	5.47%	+2.32	+2.0	6
2013-03-09	@ Nomme Kalju	L 1-2	35.1	879	1280	5.47%	12.50%	82.03%	-2.32	-2.0	1
2013-03-09	Levadia	L 0-1	30.2	802	1239	7.29%	12.85%	79.86%	-2.06	-2.9	0
2013-03-09	@ Tallinna Kalev	W 1-0	30.2	1239	802	79.86%	12.85%	7.29%	+2.06	+2.9	6
2013-03-09	Infonet	W 3-0	33.5	1076	1041	53.94%	14.08%	31.97%	+0.41	+31.7	6
2013-03-09	@ Sillamae Kalev	L 0-3	33.5	1041	1076	31.97%	14.08%	53.94%	-0.41	-31.7	1
2013-03-09	Tammeka	L 1-2	54.8	1094	906	70.09%	13.67%	16.24%	+1.21	-22.4	0
2013-03-09	@ Narva Trans	W 2-1	54.8	906	1094	16.24%	13.67%	70.09%	-1.21	+22.4	3
2013-03-16	Narva Trans	W 3-0	29.2	1241	1072	68.51%	13.74%	17.75%	+1.11	+18.5	9
2013-03-16	@ Levadia	L 0-3	29.2	1072	1241	17.75%	13.74%	68.51%	-1.11	-18.5	0
2013-03-16	Nomme Kalju	D 1-1	57.0	1108	1282	26.09%	13.99%	59.92%	-0.69	+2.8	7
2013-03-16	@ Sillamae Kalev	D 1-1	57.0	1282	1108	59.92%	13.99%	26.09%	+0.69	-2.8	7
2013-03-16	Infonet	D 1-1	57.1	1281	1009	75.98%	13.28%	10.74%	+1.64	-5.6	7
2013-03-16	@ Flora	D 1-1	57.1	1009	1281	10.74%	13.28%	75.98%	-1.64	+5.6	2
2013-03-30	Flora	L 0-3	30.3	1053	1275	21.15%	13.87%	64.99%	-0.94	-21.8	0
2013-03-30	@ Narva Trans	W 3-0	30.3	1275	1053	64.99%	13.87%	21.15%	+0.94	+21.8	10
2013-03-30	Kuressaare	W 1-0	42.7	799	877	38.29%	14.13%	47.57%	-0.18	+16.4	3
2013-03-30	@ Tallinna Kalev	L 0-1	42.7	877	799	47.57%	14.13%	38.29%	+0.18	-16.4	1
2013-03-30	Levadia	W 1-0	39.2	1279	1260	51.87%	14.10%	34.02%	+0.33	+12.2	10
2013-03-30	@ Nomme Kalju	L 0-1	39.2	1260	1279	34.02%	14.10%	51.87%	-0.33	-12.2	9
2013-03-30	Sillamae Kalev	W 2-1	51.6	945	1111	27.03%	14.01%	58.96%	-0.65	+18.9	3
2013-03-30	@ Paide Linnameeskond	L 1-2	51.6	1111	945	58.96%	14.01%	27.03%	+0.65	-18.9	7
2013-03-30	Tammeka	D 0-0	52.3	1015	929	60.09%	13.99%	25.92%	+0.67	-3.1	3
2013-03-30	@ Infonet	D 0-0	52.3	929	1015	25.92%	13.99%	60.09%	-0.67	+3.1	4
2013-04-06	Nomme Kalju	W 1-0	40.1	1297	1292	49.95%	14.12%	35.93%	+0.25	+12.9	13
2013-04-06	@ Flora	L 0-1	40.1	1292	1297	35.93%	14.12%	49.95%	-0.25	-12.9	10
2013-04-06	Sillamae Kalev	D 0-0	52.5	1248	1092	67.29%	13.79%	18.92%	+1.04	-4.5	10
2013-04-06	@ Levadia	D 0-0	52.5	1092	1248	18.92%	13.79%	67.29%	-1.04	+4.5	8
2013-04-06	Infonet	W 4-0	36.0	964	1012	42.49%	14.14%	43.37%	-0.03	+54.1	6
2013-04-06	@ Paide Linnameeskond	L 0-4	36.0	1012	964	43.37%	14.14%	42.49%	+0.03	-54.1	3
2013-04-06	Tallinna Kalev	D 1-1	56.9	1032	816	72.27%	13.55%	14.18%	+1.35	-4.9	1
2013-04-06	@ Narva Trans	D 1-1	56.9	816	1032	14.18%	13.55%	72.27%	-1.35	+4.9	4
2013-04-13	Kuressaare	W 4-0	26.6	1096	860	73.69%	13.46%	12.85%	+1.46	+17.8	11
2013-04-13	@ Sillamae Kalev	L 0-4	26.6	860	1096	12.85%	13.46%	73.69%	-1.46	-17.8	1
2013-04-13	Levadia	L 0-3	41.9	1310	1243	57.81%	14.03%	28.15%	+0.57	-53.8	13
2013-04-13	@ Flora	W 3-0	41.9	1243	1310	28.15%	14.03%	57.81%	-0.57	+53.8	13
2013-04-13	Narva Trans	W 4-0	26.4	1279	1027	74.77%	13.38%	11.85%	+1.54	+16.4	13
2013-04-13	@ Nomme Kalju	L 0-4	26.4	1027	1279	11.85%	13.38%	74.77%	-1.54	-16.4	1
2013-04-13	Tallinna Kalev	W 2-0	32.0	957	821	65.49%	13.85%	20.66%	+0.94	+14.7	6
2013-04-13	@ Infonet	L 0-2	32.0	821	957	20.66%	13.85%	65.49%	-0.94	-14.7	4
2013-04-20	Flora	L 2-4	37.9	843	1256	8.23%	12.99%	78.78%	-1.94	-4.7	1
2013-04-20	@ Kuressaare	W 4-2	37.9	1256	843	78.78%	12.99%	8.23%	+1.94	+4.7	16
2013-04-20	Nomme Kalju	L 1-3	32.9	806	1295	5.51%	12.51%	81.98%	-2.34	-3.5	4
2013-04-20	@ Tallinna Kalev	W 3-1	32.9	1295	806	81.98%	12.51%	5.51%	+2.34	+3.5	16
2013-04-20	Paide Linnameeskond	L 0-1	42.9	1010	1018	48.21%	14.13%	37.66%	+0.18	-16.6	1
2013-04-20	@ Narva Trans	W 1-0	42.9	1018	1010	37.66%	14.13%	48.21%	-0.18	+16.6	9
2013-04-20	Infonet	W 2-1	36.1	1297	972	78.85%	12.98%	8.17%	+1.92	+3.0	16
2013-04-20	@ Levadia	L 1-2	36.1	972	1297	8.17%	12.98%	78.85%	-1.92	-3.0	6
2013-04-26	Tammeka	W 2-0	28.0	1261	932	79.03%	12.96%	8.00%	+1.94	+5.9	19
2013-04-26	@ Flora	L 0-2	28.0	932	1261	8.00%	12.96%	79.03%	-1.94	-5.9	4
2013-04-27	Levadia	L 3-4	47.1	1034	1300	17.22%	13.71%	69.07%	-1.17	-5.7	9
2013-04-27	@ Paide Linnameeskond	W 4-3	47.1	1300	1034	69.07%	13.71%	17.22%	+1.17	+5.7	19
2013-04-27	Narva Trans	W 2-0	43.1	838	994	28.23%	14.03%	57.74%	-0.59	+37.0	4
2013-04-27	@ Kuressaare	L 0-2	43.1	994	838	57.74%	14.03%	28.23%	+0.59	-37.0	1
2013-04-27	Nomme Kalju	L 0-3	27.5	969	1299	12.60%	13.44%	73.96%	-1.50	-13.4	6
2013-04-27	@ Infonet	W 3-0	27.5	1299	969	73.96%	13.44%	12.60%	+1.50	+13.4	19
2013-04-27	Tallinna Kalev	D 0-0	52.6	1114	802	78.20%	13.06%	8.74%	+1.85	-6.7	12
2013-04-27	@ Sillamae Kalev	D 0-0	52.6	802	1114	8.74%	13.06%	78.20%	-1.85	+6.7	5
2013-05-03	Kuressaare	W 2-1	34.8	1306	875	83.03%	12.29%	4.67%	+2.48	+1.7	22
2013-05-03	@ Levadia	L 1-2	34.8	875	1306	4.67%	12.29%	83.03%	-2.48	-1.7	4
2013-05-03	Infonet	D 1-1	56.8	957	956	49.36%	14.12%	36.51%	+0.23	-1.0	2
2013-05-03	@ Narva Trans	D 1-1	56.8	956	957	36.51%	14.12%	49.36%	-0.23	+1.0	7
2013-05-04	Flora	W 2-1	51.5	1107	1266	27.83%	14.03%	58.14%	-0.61	+18.6	15
2013-05-04	@ Sillamae Kalev	L 1-2	51.5	1266	1107	58.14%	14.03%	27.83%	+0.61	-18.6	19
2013-05-04	Paide Linnameeskond	W 1-0	47.8	809	1029	21.34%	13.87%	64.79%	-0.93	+22.0	8
2013-05-04	@ Tallinna Kalev	L 0-1	47.8	1029	809	64.79%	13.87%	21.34%	+0.93	-22.0	9
2013-05-06	Tammeka	W 2-0	27.2	1312	926	81.48%	12.60%	5.92%	+2.24	+4.4	22
2013-05-06	@ Nomme Kalju	L 0-2	27.2	926	1312	5.92%	12.60%	81.48%	-2.24	-4.4	4
2013-05-10	Levadia	L 0-1	30.3	873	1307	7.38%	12.87%	79.76%	-2.05	-2.9	4
2013-05-10	@ Kuressaare	W 1-0	30.3	1307	873	79.76%	12.87%	7.38%	+2.05	+2.9	25
2013-05-10	Narva Trans	W 1-0	39.4	957	956	49.40%	14.12%	36.47%	+0.23	+13.0	10
2013-05-10	@ Infonet	L 0-1	39.4	956	957	36.47%	14.12%	49.40%	-0.23	-13.0	2
2013-05-10	Nomme Kalju	L 0-3	26.4	922	1317	9.04%	13.10%	77.86%	-1.84	-9.7	4
2013-05-10	@ Tammeka	W 3-0	26.4	1317	922	77.86%	13.10%	9.04%	+1.84	+9.7	25
2013-05-10	Tallinna Kalev	W 2-1	39.0	1007	831	69.05%	13.71%	17.24%	+1.14	+6.2	12
2013-05-10	@ Paide Linnameeskond	L 1-2	39.0	831	1007	17.24%	13.71%	69.05%	-1.14	-6.2	8
2013-05-11	Sillamae Kalev	W 3-0	30.6	1248	1126	63.97%	13.90%	22.13%	+0.86	+22.8	22
2013-05-11	@ Flora	L 0-3	30.6	1126	1248	22.13%	13.90%	63.97%	-0.86	-22.8	15
2013-05-14	Flora	L 1-4	32.2	912	1271	10.89%	13.30%	75.82%	-1.65	-9.8	4
2013-05-14	@ Tammeka	W 4-1	32.2	1271	912	75.82%	13.30%	10.89%	+1.65	+9.8	25
2013-05-14	Kuressaare	W 2-0	34.1	943	870	58.49%	14.02%	27.49%	+0.60	+19.1	5
2013-05-14	@ Narva Trans	L 0-2	34.1	870	943	27.49%	14.02%	58.49%	-0.60	-19.1	4
2013-05-14	Sillamae Kalev	W 1-0	49.3	825	1103	16.19%	13.66%	70.15%	-1.23	+23.8	11
2013-05-14	@ Tallinna Kalev	L 0-1	49.3	1103	825	70.15%	13.66%	16.19%	+1.23	-23.8	15
2013-05-14	Infonet	W 2-0	27.6	1326	970	80.28%	12.79%	6.93%	+2.09	+5.1	28
2013-05-14	@ Nomme Kalju	L 0-2	27.6	970	1326	6.93%	12.79%	80.28%	-2.09	-5.1	10
2013-05-15	Paide Linnameeskond	W 1-0	31.1	1310	1013	77.45%	13.14%	9.41%	+1.78	+3.7	28
2013-05-15	@ Levadia	L 0-1	31.1	1013	1310	9.41%	13.14%	77.45%	-1.78	-3.7	12
2013-05-20	Levadia	L 0-1	31.7	965	1314	11.41%	13.34%	75.24%	-1.60	-4.4	10
2013-05-20	@ Infonet	W 1-0	31.7	1314	965	75.24%	13.34%	11.41%	+1.60	+4.4	31
2013-05-21	Kuressaare	W 6-0	24.1	1280	851	82.98%	12.31%	4.72%	+2.47	+9.6	28
2013-05-21	@ Flora	L 0-6	24.1	851	1280	4.72%	12.31%	82.98%	-2.47	-9.6	4
2013-05-21	Narva Trans	L 0-1	45.1	1009	962	55.48%	14.07%	30.45%	+0.47	-18.9	12
2013-05-21	@ Paide Linnameeskond	W 1-0	45.1	962	1009	30.45%	14.07%	55.48%	-0.47	+18.9	8
2013-05-21	Tallinna Kalev	W 2-0	26.3	1331	849	84.55%	11.91%	3.54%	+2.75	+2.6	31
2013-05-21	@ Nomme Kalju	L 0-2	26.3	849	1331	3.54%	11.91%	84.55%	-2.75	-2.6	11
2013-05-21	Tammeka	D 1-1	56.9	1080	902	69.20%	13.71%	17.10%	+1.15	-4.4	16
2013-05-21	@ Sillamae Kalev	D 1-1	56.9	902	1080	17.10%	13.71%	69.20%	-1.15	+4.4	5
2013-05-24	Flora	W 1-0	39.3	1318	1290	53.05%	14.09%	32.86%	+0.37	+11.9	34
2013-05-24	@ Levadia	L 0-1	39.3	1290	1318	32.86%	14.09%	53.05%	-0.37	-11.9	28
2013-05-24	Sillamae Kalev	L 1-4	35.0	842	1075	20.03%	13.83%	66.15%	-1.00	-17.5	4
2013-05-24	@ Kuressaare	W 4-1	35.0	1075	842	66.15%	13.83%	20.03%	+1.00	+17.5	19
2013-05-24	Tammeka	W 6-2	36.6	990	907	59.84%	13.99%	26.17%	+0.66	+24.5	15
2013-05-24	@ Paide Linnameeskond	L 2-6	36.6	907	990	26.17%	13.99%	59.84%	-0.66	-24.5	5
2013-05-25	Nomme Kalju	W 2-0	48.4	981	1334	11.19%	13.32%	75.49%	-1.63	+48.4	11
2013-05-25	@ Narva Trans	L 0-2	48.4	1334	981	75.49%	13.32%	11.19%	+1.63	-48.4	31
2013-05-25	Infonet	L 1-4	39.1	846	960	33.37%	14.10%	52.53%	-0.37	-27.8	11
2013-05-25	@ Tallinna Kalev	W 4-1	39.1	960	846	52.53%	14.10%	33.37%	+0.37	+27.8	13
2013-05-30	Kuressaare	W 3-1	40.4	882	824	56.76%	14.05%	29.19%	+0.53	+17.5	8
2013-05-30	@ Tammeka	L 1-3	40.4	824	882	29.19%	14.05%	56.76%	-0.53	-17.5	4
2013-05-30	Narva Trans	L 1-2	40.5	818	1029	22.21%	13.90%	63.89%	-0.88	-7.9	11
2013-05-30	@ Tallinna Kalev	W 2-1	40.5	1029	818	63.89%	13.90%	22.21%	+0.88	+7.9	14
2013-05-31	Flora	W 4-3	53.3	1286	1278	50.25%	14.12%	35.63%	+0.26	+11.1	34
2013-05-31	@ Nomme Kalju	L 3-4	53.3	1278	1286	35.63%	14.12%	50.25%	-0.26	-11.1	28
2013-05-31	Levadia	W 2-0	46.0	1093	1330	19.64%	13.81%	66.55%	-1.02	+42.5	22
2013-05-31	@ Sillamae Kalev	L 0-2	46.0	1330	1093	66.55%	13.81%	19.64%	+1.02	-42.5	34
2013-06-01	Paide Linnameeskond	L 1-2	47.6	988	1015	45.52%	14.14%	40.34%	+0.08	-14.9	13
2013-06-01	@ Infonet	W 2-1	47.6	1015	988	40.34%	14.14%	45.52%	-0.08	+14.9	18
2013-06-08	Tallinna Kalev	W 3-0	31.5	899	810	60.45%	13.98%	25.57%	+0.69	+26.0	11
2013-06-08	@ Tammeka	L 0-3	31.5	810	899	25.57%	13.98%	60.45%	-0.69	-26.0	11
2013-06-14	Narva Trans	W 1-0	32.3	1267	1037	73.30%	13.49%	13.22%	+1.43	+5.1	31
2013-06-14	@ Flora	L 0-1	32.3	1037	1267	13.22%	13.49%	73.30%	-1.43	-5.1	14
2013-06-14	Paide Linnameeskond	W 3-0	31.0	1135	1030	62.26%	13.94%	23.80%	+0.78	+24.3	25
2013-06-14	@ Sillamae Kalev	L 0-3	31.0	1030	1135	23.80%	13.94%	62.26%	-0.78	-24.3	18
2013-06-14	Infonet	L 0-3	36.7	925	973	42.52%	14.14%	43.34%	-0.03	-40.7	11
2013-06-14	@ Tammeka	W 3-0	36.7	973	925	43.34%	14.14%	42.52%	+0.03	+40.7	16
2013-06-14	Tallinna Kalev	L 1-3	47.3	807	784	52.25%	14.10%	33.65%	+0.34	-29.2	4
2013-06-14	@ Kuressaare	W 3-1	47.3	784	807	33.65%	14.10%	52.25%	-0.34	+29.2	14
2013-06-15	Nomme Kalju	W 1-0	40.6	1288	1297	48.02%	14.13%	37.85%	+0.18	+13.5	37
2013-06-15	@ Levadia	L 0-1	40.6	1297	1288	37.85%	14.13%	48.02%	-0.18	-13.5	34
2013-06-17	Flora	L 0-2	31.2	1014	1272	17.84%	13.74%	68.42%	-1.13	-12.8	16
2013-06-17	@ Infonet	W 2-0	31.2	1272	1014	68.42%	13.74%	17.84%	+1.13	+12.8	34
2013-06-18	Kuressaare	W 3-0	27.7	1005	778	73.13%	13.50%	13.38%	+1.42	+14.1	21
2013-06-18	@ Paide Linnameeskond	L 0-3	27.7	778	1005	13.38%	13.50%	73.13%	-1.42	-14.1	4
2013-06-18	Levadia	W 1-0	49.2	1032	1301	16.90%	13.70%	69.40%	-1.19	+23.5	17
2013-06-18	@ Narva Trans	L 0-1	49.2	1301	1032	69.40%	13.70%	16.90%	+1.19	-23.5	37
2013-06-18	Sillamae Kalev	D 0-0	52.7	1283	1159	64.17%	13.89%	21.94%	+0.87	-3.9	35
2013-06-18	@ Nomme Kalju	D 0-0	52.7	1159	1283	21.94%	13.89%	64.17%	-0.87	+3.9	26
2013-06-18	Tammeka	L 0-2	37.6	814	885	39.20%	14.14%	46.67%	-0.15	-26.1	14
2013-06-18	@ Tallinna Kalev	W 2-0	37.6	885	814	46.67%	14.14%	39.20%	+0.15	+26.1	14
2013-07-02	Tammeka	D 0-0	52.3	763	911	29.21%	14.05%	56.74%	-0.55	+2.5	5
2013-07-02	@ Kuressaare	D 0-0	52.3	911	763	56.74%	14.05%	29.21%	+0.55	-2.5	15
2013-07-06	Narva Trans	W 1-0	45.4	908	1055	29.28%	14.05%	56.67%	-0.55	+19.3	18
2013-07-06	@ Tammeka	L 0-1	45.4	1055	908	56.67%	14.05%	29.28%	+0.55	-19.3	17
2013-07-06	Nomme Kalju	L 0-1	29.4	766	1279	4.85%	12.34%	82.80%	-2.46	-1.9	5
2013-07-06	@ Kuressaare	W 1-0	29.4	1279	766	82.80%	12.34%	4.85%	+2.46	+1.9	38
2013-07-06	Sillamae Kalev	L 0-1	36.7	1001	1163	27.45%	14.02%	58.53%	-0.63	-10.1	16
2013-07-06	@ Infonet	W 1-0	36.7	1163	1001	58.53%	14.02%	27.45%	+0.63	+10.1	29
2013-07-08	Paide Linnameeskond	W 1-0	31.6	1285	1020	75.61%	13.31%	11.08%	+1.61	+4.3	37
2013-07-08	@ Flora	L 0-1	31.6	1020	1285	11.08%	13.31%	75.61%	-1.61	-4.3	21
2013-07-12	Infonet	D 1-1	56.8	764	991	20.63%	13.85%	65.52%	-0.96	+3.7	6
2013-07-12	@ Kuressaare	D 1-1	56.8	991	764	65.52%	13.85%	20.63%	+0.96	-3.7	17
2013-07-13	Paide Linnameeskond	W 1-0	31.6	1281	1015	75.64%	13.31%	11.05%	+1.62	+4.3	41
2013-07-13	@ Nomme Kalju	L 0-1	31.6	1015	1281	11.05%	13.31%	75.64%	-1.62	-4.3	21
2013-07-15	Flora	L 2-4	36.8	787	1289	5.16%	12.42%	82.41%	-2.40	-2.9	14
2013-07-15	@ Tallinna Kalev	W 4-2	36.8	1289	787	82.41%	12.42%	5.16%	+2.40	+2.9	40
2013-07-15	Narva Trans	W 3-2	45.3	1174	1036	65.55%	13.85%	20.60%	+0.94	+7.0	32
2013-07-15	@ Sillamae Kalev	L 2-3	45.3	1036	1174	20.60%	13.85%	65.55%	-0.94	-7.0	17
2013-07-16	Paide Linnameeskond	L 0-1	34.1	768	1011	19.14%	13.80%	67.06%	-1.05	-7.3	6
2013-07-16	@ Kuressaare	W 1-0	34.1	1011	768	67.06%	13.80%	19.14%	+1.05	+7.3	24
2013-07-19	Kuressaare	W 2-1	34.1	1278	760	85.41%	11.65%	2.94%	+2.93	+1.1	40
2013-07-19	@ Levadia	L 1-2	34.1	760	1278	2.94%	11.65%	85.41%	-2.93	-1.1	6
2013-07-19	Infonet	L 1-2	50.4	1029	987	54.76%	14.07%	31.17%	+0.44	-17.6	17
2013-07-19	@ Narva Trans	W 2-1	50.4	987	1029	31.17%	14.07%	54.76%	-0.44	+17.6	20
2013-07-20	Flora	W 2-1	50.0	1180	1292	33.70%	14.10%	52.19%	-0.36	+16.8	35
2013-07-20	@ Sillamae Kalev	L 1-2	50.0	1292	1180	52.19%	14.10%	33.70%	+0.36	-16.8	40
2013-07-20	Paide Linnameeskond	L 1-2	39.8	784	1018	20.00%	13.83%	66.17%	-1.00	-7.1	14
2013-07-20	@ Tallinna Kalev	W 2-1	39.8	1018	784	66.17%	13.83%	20.00%	+1.00	+7.1	27
2013-07-20	Tammeka	W 3-0	25.6	1285	928	80.34%	12.78%	6.88%	+2.10	+7.4	44
2013-07-20	@ Nomme Kalju	L 0-3	25.6	928	1285	6.88%	12.78%	80.34%	-2.10	-7.4	18
2013-07-23	Paide Linnameeskond	L 0-1	38.8	920	1025	34.59%	14.11%	51.30%	-0.33	-12.4	18
2013-07-23	@ Tammeka	W 1-0	38.8	1025	920	51.30%	14.11%	34.59%	+0.33	+12.4	30
2013-07-26	Narva Trans	W 1-0	48.7	759	1011	18.37%	13.76%	67.87%	-1.10	+23.0	9
2013-07-26	@ Kuressaare	L 0-1	48.7	1011	759	67.87%	13.76%	18.37%	+1.10	-23.0	17
2013-07-26	Tallinna Kalev	W 2-0	26.8	1197	777	82.68%	12.37%	4.95%	+2.42	+3.6	38
2013-07-26	@ Sillamae Kalev	L 0-2	26.8	777	1197	4.95%	12.37%	82.68%	-2.42	-3.6	14
2013-07-26	Tammeka	D 2-2	63.0	1275	908	80.74%	12.72%	6.54%	+2.15	-4.8	41
2013-07-26	@ Flora	D 2-2	63.0	908	1275	6.54%	12.72%	80.74%	-2.15	+4.8	19
2013-07-27	Nomme Kalju	D 1-1	57.0	1005	1293	15.47%	13.63%	70.91%	-1.28	+4.7	21
2013-07-27	@ Infonet	D 1-1	57.0	1293	1005	70.91%	13.63%	15.47%	+1.28	-4.7	45
2013-07-29	Levadia	L 1-3	37.5	1038	1279	19.34%	13.80%	66.86%	-1.04	-12.0	30
2013-07-29	@ Paide Linnameeskond	W 3-1	37.5	1279	1038	66.86%	13.80%	19.34%	+1.04	+12.0	43
2013-08-02	Flora	L 0-1	29.6	782	1271	5.55%	12.52%	81.93%	-2.33	-2.2	9
2013-08-02	@ Kuressaare	W 1-0	29.6	1271	782	81.93%	12.52%	5.55%	+2.33	+2.2	44
2013-08-02	Paide Linnameeskond	W 2-0	38.4	988	1026	44.01%	14.14%	41.85%	+0.03	+27.7	20
2013-08-02	@ Narva Trans	L 0-2	38.4	1026	988	41.85%	14.14%	44.01%	-0.03	-27.7	30
2013-08-02	Infonet	W 3-0	26.8	1291	1010	76.54%	13.23%	10.23%	+1.69	+10.9	46
2013-08-02	@ Levadia	L 0-3	26.8	1010	1291	10.23%	13.23%	76.54%	-1.69	-10.9	21
2013-08-03	Nomme Kalju	D 1-1	57.3	774	1288	4.83%	12.34%	82.84%	-2.47	+6.8	15
2013-08-03	@ Tallinna Kalev	D 1-1	57.3	1288	774	82.84%	12.34%	4.83%	+2.47	-6.8	46
2013-08-03	Sillamae Kalev	L 0-3	28.4	913	1201	15.44%	13.62%	70.93%	-1.29	-16.2	19
2013-08-03	@ Tammeka	W 3-0	28.4	1201	913	70.93%	13.62%	15.44%	+1.29	+16.2	41
2013-08-06	Levadia	W 2-1	57.2	896	1302	8.58%	13.04%	78.38%	-1.90	+25.1	22
2013-08-06	@ Tammeka	L 1-2	57.2	1302	896	78.38%	13.04%	8.58%	+1.90	-25.1	46
2013-08-09	Kuressaare	W 2-0	26.7	1217	780	83.23%	12.25%	4.52%	+2.51	+3.3	44
2013-08-09	@ Sillamae Kalev	L 0-2	26.7	780	1217	4.52%	12.25%	83.23%	-2.51	-3.3	9
2013-08-09	Levadia	L 1-2	49.2	1273	1277	48.73%	14.13%	37.15%	+0.20	-15.8	44
2013-08-09	@ Flora	W 2-1	49.2	1277	1273	37.15%	14.13%	48.73%	-0.20	+15.8	49
2013-08-09	Paide Linnameeskond	D 0-0	52.3	922	998	38.45%	14.13%	47.42%	-0.18	+0.8	23
2013-08-09	@ Tammeka	D 0-0	52.3	998	922	47.42%	14.13%	38.45%	+0.18	-0.8	31
2013-08-10	Narva Trans	W 3-1	34.9	1281	1016	75.60%	13.31%	11.08%	+1.61	+7.0	49
2013-08-10	@ Nomme Kalju	L 1-3	34.9	1016	1281	11.08%	13.31%	75.60%	-1.61	-7.0	20
2013-08-10	Tallinna Kalev	L 0-1	50.0	999	780	72.43%	13.54%	14.03%	+1.37	-24.6	21
2013-08-10	@ Infonet	W 1-0	50.0	780	999	14.03%	13.54%	72.43%	-1.37	+24.6	18
2013-08-17	Nomme Kalju	L 0-3	38.0	1257	1288	44.84%	14.14%	41.02%	+0.06	-42.7	44
2013-08-17	@ Flora	W 3-0	38.0	1288	1257	41.02%	14.14%	44.84%	-0.06	+42.6	52
2013-08-17	Sillamae Kalev	W 1-0	37.1	1292	1220	58.45%	14.02%	27.53%	+0.60	+10.1	52
2013-08-17	@ Levadia	L 0-1	37.1	1220	1292	27.53%	14.02%	58.45%	-0.60	-10.1	44
2013-08-17	Infonet	W 2-0	35.9	997	974	52.37%	14.10%	33.53%	+0.34	+22.8	34
2013-08-17	@ Paide Linnameeskond	L 0-2	35.9	974	997	33.53%	14.10%	52.37%	-0.34	-22.8	21
2013-08-17	Tallinna Kalev	W 3-1	36.0	1009	805	71.36%	13.60%	15.04%	+1.29	+9.4	23
2013-08-17	@ Narva Trans	L 1-3	36.0	805	1009	15.04%	13.60%	71.36%	-1.29	-9.4	18
2013-08-17	Tammeka	D 0-0	52.3	777	922	29.46%	14.05%	56.49%	-0.54	+2.4	10
2013-08-17	@ Kuressaare	D 0-0	52.3	922	777	56.49%	14.05%	29.46%	+0.54	-2.4	24
2013-08-20	Flora	L 1-4	36.3	1018	1214	23.75%	13.94%	62.31%	-0.80	-20.5	23
2013-08-20	@ Narva Trans	W 4-1	36.3	1214	1018	62.31%	13.94%	23.75%	+0.80	+20.5	47
2013-08-20	Levadia	L 1-4	30.1	796	1302	5.03%	12.39%	82.58%	-2.43	-4.5	18
2013-08-20	@ Tallinna Kalev	W 4-1	30.1	1302	796	82.58%	12.39%	5.03%	+2.43	+4.5	55
2013-08-20	Sillamae Kalev	L 0-3	31.2	1020	1210	24.34%	13.95%	61.71%	-0.77	-24.8	34
2013-08-20	@ Paide Linnameeskond	W 3-0	31.2	1210	1020	61.71%	13.95%	24.34%	+0.77	+24.8	47
2013-08-20	Tammeka	W 3-1	41.4	951	920	53.43%	14.09%	32.48%	+0.39	+19.2	24
2013-08-20	@ Infonet	L 1-3	41.4	920	951	32.48%	14.09%	53.43%	-0.39	-19.2	24
2013-08-23	Infonet	L 2-3	61.6	1235	970	75.54%	13.32%	11.14%	+1.61	-23.0	47
2013-08-23	@ Flora	W 3-2	61.6	970	1235	11.14%	13.32%	75.54%	-1.61	+23.0	27
2013-08-23	Tallinna Kalev	L 0-1	47.2	901	791	62.70%	13.93%	23.37%	+0.80	-21.3	24
2013-08-23	@ Tammeka	W 1-0	47.2	791	901	23.37%	13.93%	62.70%	-0.80	+21.3	21
2013-08-24	Narva Trans	W 2-1	36.4	1307	998	78.06%	13.08%	8.87%	+1.84	+3.3	58
2013-08-24	@ Levadia	L 1-2	36.4	998	1307	8.87%	13.08%	78.06%	-1.84	-3.3	23
2013-08-24	Paide Linnameeskond	L 1-2	40.4	779	995	21.70%	13.88%	64.42%	-0.91	-7.7	10
2013-08-24	@ Kuressaare	W 2-1	40.4	995	779	64.42%	13.88%	21.70%	+0.91	+7.7	37
2013-08-26	Nomme Kalju	D 1-1	57.5	1235	1331	35.80%	14.12%	50.08%	-0.28	+1.1	48
2013-08-26	@ Sillamae Kalev	D 1-1	57.5	1331	1235	50.08%	14.12%	35.80%	+0.28	-1.1	53
2013-08-30	Tallinna Kalev	W 1-0	28.7	1310	812	84.94%	11.80%	3.26%	+2.83	+1.3	61
2013-08-30	@ Levadia	L 0-1	28.7	812	1310	3.26%	11.80%	84.94%	-2.83	-1.3	21
2013-08-31	Flora	L 0-5	29.6	1003	1212	22.41%	13.90%	63.69%	-0.87	-37.1	37
2013-08-31	@ Paide Linnameeskond	W 5-0	29.6	1212	1003	63.69%	13.90%	22.41%	+0.87	+37.1	50
2013-08-31	Narva Trans	D 1-1	56.8	879	995	33.23%	14.10%	52.67%	-0.38	+1.6	25
2013-08-31	@ Tammeka	D 1-1	56.8	995	879	52.67%	14.10%	33.23%	+0.38	-1.5	24
2013-08-31	Infonet	W 2-0	29.4	1236	993	74.17%	13.43%	12.41%	+1.49	+9.1	51
2013-08-31	@ Sillamae Kalev	L 0-2	29.4	993	1236	12.41%	13.43%	74.17%	-1.49	-9.1	27
2013-09-02	Kuressaare	W 4-0	22.9	1330	772	86.33%	11.32%	2.35%	+3.14	+3.2	56
2013-09-02	@ Nomme Kalju	L 0-4	22.9	772	1330	2.35%	11.32%	86.33%	-3.14	-3.2	10
2013-09-10	Kuressaare	W 3-1	41.0	811	768	54.87%	14.07%	31.06%	+0.45	+18.5	24
2013-09-10	@ Tallinna Kalev	L 1-3	41.0	768	811	31.06%	14.07%	54.87%	-0.45	-18.4	10
2013-09-13	Tallinna Kalev	W 5-0	23.9	1249	830	82.66%	12.37%	4.97%	+2.42	+8.6	53
2013-09-13	@ Flora	L 0-5	23.9	830	1249	4.97%	12.37%	82.66%	-2.42	-8.5	24
2013-09-14	Kuressaare	D 1-1	56.9	984	750	73.59%	13.47%	12.95%	+1.45	-5.2	28
2013-09-14	@ Infonet	D 1-1	56.9	750	984	12.95%	13.47%	73.59%	-1.45	+5.2	11
2013-09-14	Nomme Kalju	L 0-4	26.0	966	1333	10.42%	13.25%	76.33%	-1.70	-14.5	37
2013-09-14	@ Paide Linnameeskond	W 4-0	26.0	1333	966	76.33%	13.25%	10.42%	+1.70	+14.5	59
2013-09-14	Sillamae Kalev	L 0-2	31.3	993	1245	18.35%	13.76%	67.88%	-1.10	-13.2	24
2013-09-14	@ Narva Trans	W 2-0	31.3	1245	993	67.88%	13.76%	18.35%	+1.10	+13.2	54
2013-09-14	Tammeka	W 2-0	26.8	1312	881	83.03%	12.30%	4.68%	+2.48	+3.4	64
2013-09-14	@ Levadia	L 0-2	26.8	881	1312	4.68%	12.30%	83.03%	-2.48	-3.4	25
2013-09-17	Flora	D 1-1	57.2	821	1257	7.29%	12.85%	79.86%	-2.06	+6.3	25
2013-09-17	@ Tallinna Kalev	D 1-1	57.2	1257	821	79.86%	12.85%	7.29%	+2.06	-6.3	54
2013-09-17	Levadia	L 0-2	27.7	878	1315	7.25%	12.85%	79.90%	-2.07	-5.3	25
2013-09-17	@ Tammeka	W 2-0	27.7	1315	878	79.90%	12.85%	7.25%	+2.07	+5.3	67
2013-09-17	Narva Trans	W 2-1	36.8	1259	980	76.39%	13.24%	10.37%	+1.68	+3.8	57
2013-09-17	@ Sillamae Kalev	L 1-2	36.8	980	1259	10.37%	13.24%	76.39%	-1.68	-3.8	24
2013-09-17	Paide Linnameeskond	W 2-0	27.2	1348	951	81.85%	12.53%	5.61%	+2.30	+4.1	62
2013-09-17	@ Nomme Kalju	L 0-2	27.2	951	1348	5.61%	12.53%	81.85%	-2.30	-4.1	37
2013-09-17	Infonet	L 0-3	30.1	755	979	20.91%	13.86%	65.23%	-0.95	-21.6	11
2013-09-17	@ Kuressaare	W 3-0	30.1	979	755	65.23%	13.86%	20.91%	+0.95	+21.6	31
2013-09-21	Nomme Kalju	L 0-4	23.1	734	1352	2.76%	11.56%	85.68%	-3.01	-3.8	11
2013-09-21	@ Kuressaare	W 4-0	23.1	1352	734	85.68%	11.56%	2.76%	+3.01	+3.8	65
2013-09-21	Paide Linnameeskond	D 0-0	52.6	1251	947	77.79%	13.11%	9.11%	+1.81	-6.6	55
2013-09-21	@ Flora	D 0-0	52.6	947	1251	9.11%	13.11%	77.79%	-1.81	+6.6	38
2013-09-21	Sillamae Kalev	W 1-0	49.0	1001	1262	17.56%	13.73%	68.71%	-1.15	+23.3	34
2013-09-21	@ Infonet	L 0-1	49.0	1262	1001	68.71%	13.73%	17.56%	+1.15	-23.3	57
2013-09-21	Tallinna Kalev	W 5-0	23.3	1320	827	84.82%	11.84%	3.34%	+2.80	+5.7	70
2013-09-21	@ Levadia	L 0-5	23.3	827	1320	3.34%	11.84%	84.82%	-2.80	-5.7	25
2013-09-21	Tammeka	W 2-1	41.1	976	872	62.10%	13.95%	23.96%	+0.77	+8.4	27
2013-09-21	@ Narva Trans	L 1-2	41.1	872	976	23.96%	13.95%	62.10%	-0.77	-8.4	25
2013-09-24	Levadia	W 2-1	45.4	1356	1326	53.20%	14.09%	32.71%	+0.38	+11.2	68
2013-09-24	@ Nomme Kalju	L 1-2	45.4	1326	1356	32.71%	14.09%	53.20%	-0.38	-11.2	70
2013-09-24	Paide Linnameeskond	W 3-1	34.5	1239	954	76.77%	13.21%	10.02%	+1.72	+6.4	60
2013-09-24	@ Sillamae Kalev	L 1-3	34.5	954	1239	10.02%	13.21%	76.77%	-1.72	-6.4	38
2013-09-28	Flora	L 1-2	40.3	1024	1245	21.26%	13.87%	64.87%	-0.93	-7.5	34
2013-09-28	@ Infonet	W 2-1	40.3	1245	1024	64.87%	13.87%	21.26%	+0.93	+7.5	58
2013-09-28	Kuressaare	W 4-1	33.2	948	730	72.40%	13.54%	14.06%	+1.36	+12.5	41
2013-09-28	@ Paide Linnameeskond	L 1-4	33.2	730	948	14.06%	13.54%	72.40%	-1.36	-12.5	11
2013-09-28	Levadia	L 0-2	29.5	985	1315	12.56%	13.44%	74.00%	-1.50	-9.2	27
2013-09-28	@ Narva Trans	W 2-0	29.5	1315	985	74.00%	13.44%	12.56%	+1.50	+9.2	73
2013-09-28	Sillamae Kalev	W 1-0	36.0	1367	1245	63.93%	13.90%	22.17%	+0.86	+8.3	71
2013-09-28	@ Nomme Kalju	L 0-1	36.0	1245	1367	22.17%	13.90%	63.93%	-0.86	-8.3	60
2013-09-28	Tammeka	W 2-1	46.7	822	864	43.31%	14.14%	42.55%	+0.00	+14.0	28
2013-09-28	@ Tallinna Kalev	L 1-2	46.7	864	822	42.55%	14.14%	43.31%	+0.00	-14.0	25
2013-10-01	Narva Trans	W 2-0	28.8	1252	975	76.27%	13.26%	10.47%	+1.67	+7.7	61
2013-10-01	@ Flora	L 0-2	28.8	975	1252	10.47%	13.26%	76.27%	-1.67	-7.7	27
2013-10-01	Nomme Kalju	W 2-1	49.0	1324	1375	42.04%	14.14%	43.82%	-0.04	+14.4	76
2013-10-01	@ Levadia	L 1-2	49.0	1375	1324	43.82%	14.14%	42.04%	+0.04	-14.4	71
2013-10-01	Infonet	D 1-1	56.8	850	1017	26.93%	14.01%	59.06%	-0.65	+2.6	26
2013-10-01	@ Tammeka	D 1-1	56.8	1017	850	59.06%	14.01%	26.93%	+0.65	-2.6	35
2013-10-05	Flora	D 2-2	63.7	1361	1260	61.77%	13.95%	24.28%	+0.75	-2.3	72
2013-10-05	@ Nomme Kalju	D 2-2	63.7	1260	1361	24.28%	13.95%	61.77%	-0.75	+2.3	62
2013-10-05	Levadia	L 1-2	45.2	1237	1338	35.07%	14.11%	50.81%	-0.31	-11.9	60
2013-10-05	@ Sillamae Kalev	W 2-1	45.2	1338	1237	50.81%	14.11%	35.07%	+0.31	+11.9	79
2013-10-05	Narva Trans	L 0-4	32.3	836	968	31.07%	14.07%	54.85%	-0.47	-40.4	28
2013-10-05	@ Tallinna Kalev	W 4-0	32.3	968	836	54.85%	14.07%	31.07%	+0.47	+40.4	30
2013-10-12	Tallinna Kalev	L 1-4	40.6	717	795	38.26%	14.13%	47.60%	-0.18	-31.4	11
2013-10-12	@ Kuressaare	W 4-1	40.6	795	717	47.60%	14.13%	38.26%	+0.18	+31.4	31
2013-10-19	Flora	W 3-1	40.4	1350	1262	60.35%	13.98%	25.67%	+0.69	+15.5	82
2013-10-19	@ Levadia	L 1-3	40.4	1262	1350	25.67%	13.98%	60.35%	-0.69	-15.5	62
2013-10-19	Nomme Kalju	L 0-2	29.2	1008	1358	11.36%	13.34%	75.30%	-1.61	-8.3	30
2013-10-19	@ Narva Trans	W 2-0	29.2	1358	1008	75.30%	13.34%	11.36%	+1.61	+8.3	75
2013-10-19	Sillamae Kalev	L 0-5	23.6	686	1225	4.23%	12.16%	83.61%	-2.60	-7.2	11
2013-10-19	@ Kuressaare	W 5-0	23.6	1225	686	83.61%	12.16%	4.23%	+2.60	+7.2	63
2013-10-19	Infonet	W 3-1	50.1	826	1014	24.64%	13.96%	61.40%	-0.76	+34.0	34
2013-10-19	@ Tallinna Kalev	L 1-3	50.1	1014	826	61.40%	13.96%	24.64%	+0.76	-34.0	35
2013-10-19	Tammeka	L 1-2	52.6	960	852	62.49%	13.94%	23.57%	+0.79	-20.0	41
2013-10-19	@ Paide Linnameeskond	W 2-1	52.6	852	960	23.57%	13.94%	62.49%	-0.79	+20.0	29
2013-10-22	Paide Linnameeskond	L 1-2	50.3	980	940	54.52%	14.08%	31.40%	+0.43	-17.5	35
2013-10-22	@ Infonet	W 2-1	50.3	940	980	31.40%	14.08%	54.52%	-0.43	+17.5	44
2013-10-22	Sillamae Kalev	L 0-2	28.9	872	1232	10.80%	13.29%	75.91%	-1.66	-7.9	29
2013-10-22	@ Tammeka	W 2-0	28.9	1232	872	75.91%	13.29%	10.80%	+1.66	+7.9	66
2013-10-26	Kuressaare	W 4-0	22.8	1246	679	86.52%	11.25%	2.23%	+3.19	+3.1	65
2013-10-26	@ Flora	L 0-4	22.8	679	1246	2.23%	11.25%	86.52%	-3.19	-3.1	11
2013-10-26	Levadia	L 0-3	26.3	962	1366	8.66%	13.05%	78.29%	-1.89	-9.3	35
2013-10-26	@ Infonet	W 3-0	26.3	1366	962	78.29%	13.05%	8.66%	+1.89	+9.3	85
2013-10-26	Narva Trans	L 0-3	36.9	958	1000	43.29%	14.14%	42.57%	+0.00	-41.4	44
2013-10-26	@ Paide Linnameeskond	W 3-0	36.9	1000	958	42.57%	14.14%	43.29%	+0.00	+41.4	33
2013-10-26	Tallinna Kalev	W 4-2	36.0	1367	860	85.15%	11.73%	3.11%	+2.87	+1.8	78
2013-10-26	@ Nomme Kalju	L 2-4	36.0	860	1367	3.11%	11.73%	85.15%	-2.87	-1.8	34
2013-10-26	Tammeka	W 6-0	24.6	1240	864	81.08%	12.67%	6.25%	+2.19	+12.8	69
2013-10-26	@ Sillamae Kalev	L 0-6	24.6	864	1240	6.25%	12.67%	81.08%	-2.19	-12.8	29
2013-11-02	Flora	L 0-4	25.4	852	1250	8.90%	13.08%	78.01%	-1.86	-12.4	29
2013-11-02	@ Tammeka	W 4-0	25.4	1250	852	78.01%	13.08%	8.90%	+1.86	+12.4	68
2013-11-02	Kuressaare	W 3-1	33.2	1041	676	80.67%	12.73%	6.60%	+2.14	+4.2	36
2013-11-02	@ Narva Trans	L 1-3	33.2	676	1041	6.60%	12.73%	80.67%	-2.14	-4.2	11
2013-11-02	Sillamae Kalev	L 0-9	26.4	859	1253	9.07%	13.10%	77.83%	-1.84	-27.3	34
2013-11-02	@ Tallinna Kalev	W 9-0	26.4	1253	859	77.83%	13.10%	9.07%	+1.84	+27.3	72
2013-11-02	Infonet	W 5-0	24.0	1369	953	82.53%	12.40%	5.07%	+2.40	+8.7	81
2013-11-02	@ Nomme Kalju	L 0-5	24.0	953	1369	5.07%	12.40%	82.53%	-2.40	-8.7	35
2013-11-03	Paide Linnameeskond	W 1-0	29.1	1375	916	83.89%	12.09%	4.02%	+2.62	+1.6	88
2013-11-03	@ Levadia	L 0-1	29.1	916	1375	4.02%	12.09%	83.89%	-2.62	-1.6	44
2013-11-06	Kuressaare	W 3-2	44.4	839	671	68.37%	13.74%	17.89%	+1.10	+6.1	32
2013-11-06	@ Tammeka	L 2-3	44.4	671	839	17.89%	13.74%	68.37%	-1.10	-6.1	11
2013-11-09	Levadia	L 2-4	35.2	665	1377	1.66%	10.81%	87.53%	-3.50	-0.9	11
2013-11-09	@ Kuressaare	W 4-2	35.2	1377	665	87.53%	10.81%	1.66%	+3.50	+0.9	91
2013-11-09	Narva Trans	W 3-2	54.4	944	1046	35.11%	14.11%	50.78%	-0.31	+15.6	38
2013-11-09	@ Infonet	L 2-3	54.4	1046	944	50.78%	14.11%	35.11%	+0.31	-15.6	36
2013-11-09	Nomme Kalju	L 0-3	24.7	845	1377	4.40%	12.21%	83.39%	-2.56	-4.7	32
2013-11-09	@ Tammeka	W 3-0	24.7	1377	845	83.39%	12.21%	4.40%	+2.56	+4.7	84
2013-11-09	Sillamae Kalev	L 0-3	38.5	1262	1280	46.69%	14.14%	39.18%	+0.13	-44.2	68
2013-11-09	@ Flora	W 3-0	38.5	1280	1262	39.18%	14.14%	46.69%	-0.13	+44.2	75
2013-11-09	Tallinna Kalev	W 1-0	36.2	915	831	59.77%	14.00%	26.23%	+0.66	+9.7	47
2013-11-09	@ Paide Linnameeskond	L 0-1	36.2	831	915	26.23%	14.00%	59.77%	-0.66	-9.7	34

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	2013-08-06	8.58%	@ Tammeka	896	2	Levadia	1302	1
2	2013-08-23	11.14%	Infonet	970	3	@ Flora	1235	2
3	2013-05-25	11.19%	@ Narva Trans	981	2	Nomme Kalju	1334	0
4	2013-08-10	14.03%	Tallinna Kalev	780	1	@ Infonet	999	0
5	2013-05-14	16.19%	@ Tallinna Kalev	825	1	Sillamae Kalev	1103	0
6	2013-03-09	16.24%	Tammeka	906	2	@ Narva Trans	1094	1
7	2013-06-18	16.90%	@ Narva Trans	1032	1	Levadia	1301	0
8	2013-09-21	17.56%	@ Infonet	1001	1	Sillamae Kalev	1262	0
9	2013-07-26	18.37%	@ Kuressaare	759	1	Narva Trans	1011	0
10	2013-05-31	19.64%	@ Sillamae Kalev	1093	2	Levadia	1330	0
11	2013-05-04	21.34%	@ Tallinna Kalev	809	1	Paide Linnameeskond	1029	0
12	2013-08-23	23.37%	Tallinna Kalev	791	1	@ Tammeka	901	0
13	2013-10-19	23.57%	Tammeka	852	2	@ Paide Linnameeskond	960	1
14	2013-10-19	24.64%	@ Tallinna Kalev	826	3	Infonet	1014	1
15	2013-03-30	27.03%	@ Paide Linnameeskond	945	2	Sillamae Kalev	1111	1
16	2013-05-04	27.83%	@ Sillamae Kalev	1107	2	Flora	1266	1
17	2013-04-13	28.15%	Levadia	1243	3	@ Flora	1310	0
18	2013-04-27	28.23%	@ Kuressaare	838	2	Narva Trans	994	0
19	2013-07-06	29.28%	@ Tammeka	908	1	Narva Trans	1055	0
20	2013-03-02	29.62%	Sillamae Kalev	1058	2	@ Narva Trans	1112	1
21	2013-05-21	30.45%	Narva Trans	962	1	@ Paide Linnameeskond	1009	0
22	2013-07-19	31.17%	Infonet	987	2	@ Narva Trans	1029	1
23	2013-10-22	31.40%	Paide Linnameeskond	940	2	@ Infonet	980	1
24	2013-06-14	33.65%	Tallinna Kalev	784	3	@ Kuressaare	807	1
25	2013-07-20	33.70%	@ Sillamae Kalev	1180	2	Flora	1292	1

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	2013-04-06	54.12	@ Paide Linnameeskond	4	964	42.49%	Infonet	0	1012	43.37%	14.14%
2	2013-04-13	53.81	Levadia	3	1243	28.15%	@ Flora	0	1310	57.81%	14.03%
3	2013-05-25	48.37	@ Narva Trans	2	981	11.19%	Nomme Kalju	0	1334	75.49%	13.32%
4	2013-11-09	44.19	Sillamae Kalev	3	1280	39.18%	@ Flora	0	1262	46.69%	14.14%
5	2013-08-17	42.65	Nomme Kalju	3	1288	41.02%	@ Flora	0	1257	44.84%	14.14%
6	2013-05-31	42.54	@ Sillamae Kalev	2	1093	19.64%	Levadia	0	1330	66.55%	13.81%
7	2013-10-26	41.37	Narva Trans	3	1000	42.57%	@ Paide Linnameeskond	0	958	43.29%	14.14%
8	2013-06-14	40.73	Infonet	3	973	43.34%	@ Tammeka	0	925	42.52%	14.14%
9	2013-10-05	40.44	Narva Trans	4	968	54.85%	@ Tallinna Kalev	0	836	31.07%	14.07%
10	2013-08-31	37.06	Flora	5	1212	63.69%	@ Paide Linnameeskond	0	1003	22.41%	13.90%
11	2013-04-27	37.00	@ Kuressaare	2	838	28.23%	Narva Trans	0	994	57.74%	14.03%
12	2013-03-09	34.12	Flora	6	1247	69.24%	@ Paide Linnameeskond	0	979	17.06%	13.71%
13	2013-10-19	34.01	@ Tallinna Kalev	3	826	24.64%	Infonet	1	1014	61.40%	13.96%
14	2013-03-09	31.75	@ Sillamae Kalev	3	1076	53.94%	Infonet	0	1041	31.97%	14.08%
15	2013-10-12	31.36	Tallinna Kalev	4	795	47.60%	@ Kuressaare	1	717	38.26%	14.13%
16	2013-06-14	29.18	Tallinna Kalev	3	784	33.65%	@ Kuressaare	1	807	52.25%	14.10%
17	2013-05-25	27.81	Infonet	4	960	52.53%	@ Tallinna Kalev	1	846	33.37%	14.10%
18	2013-08-02	27.67	@ Narva Trans	2	988	44.01%	Paide Linnameeskond	0	1026	41.85%	14.14%
19	2013-11-02	27.26	Sillamae Kalev	9	1253	77.83%	@ Tallinna Kalev	0	859	9.07%	13.10%
20	2013-06-18	26.15	Tammeka	2	885	46.67%	@ Tallinna Kalev	0	814	39.20%	14.14%
21	2013-06-08	25.97	@ Tammeka	3	899	60.45%	Tallinna Kalev	0	810	25.57%	13.98%
22	2013-08-06	25.12	@ Tammeka	2	896	8.58%	Levadia	1	1302	78.38%	13.04%
23	2013-08-20	24.82	Sillamae Kalev	3	1210	61.71%	@ Paide Linnameeskond	0	1020	24.34%	13.95%
24	2013-08-10	24.59	Tallinna Kalev	1	780	14.03%	@ Infonet	0	999	72.43%	13.54%
25	2013-05-24	24.50	@ Paide Linnameeskond	6	990	59.84%	Tammeka	2	907	26.17%	13.99%

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	2013-10-05	63.7	@ Nomme Kalju	2	1361	61.77%	Flora	2	1260	24.28%	13.95%
2	2013-07-26	63.0	@ Flora	2	1275	80.74%	Tammeka	2	908	6.54%	12.72%
3	2013-08-23	61.6	Infonet	3	970	11.14%	@ Flora	2	1235	75.54%	13.32%
4	2013-08-26	57.5	@ Sillamae Kalev	1	1235	35.80%	Nomme Kalju	1	1331	50.08%	14.12%
5	2013-08-03	57.3	@ Tallinna Kalev	1	774	4.83%	Nomme Kalju	1	1288	82.84%	12.34%
6	2013-08-06	57.2	@ Tammeka	2	896	8.58%	Levadia	1	1302	78.38%	13.04%
7	2013-09-17	57.2	@ Tallinna Kalev	1	821	7.29%	Flora	1	1257	79.86%	12.85%
8	2013-03-16	57.1	@ Flora	1	1281	75.98%	Infonet	1	1009	10.74%	13.28%
9	2013-03-16	57.0	@ Sillamae Kalev	1	1108	26.09%	Nomme Kalju	1	1282	59.92%	13.99%
10	2013-07-27	57.0	@ Infonet	1	1005	15.47%	Nomme Kalju	1	1293	70.91%	13.63%
11	2013-04-06	56.9	@ Narva Trans	1	1032	72.27%	Tallinna Kalev	1	816	14.18%	13.55%
12	2013-05-21	56.9	@ Sillamae Kalev	1	1080	69.20%	Tammeka	1	902	17.10%	13.71%
13	2013-09-14	56.9	@ Infonet	1	984	73.59%	Kuressaare	1	750	12.95%	13.47%
14	2013-05-03	56.8	@ Narva Trans	1	957	49.36%	Infonet	1	956	36.51%	14.12%
15	2013-07-12	56.8	@ Kuressaare	1	764	20.63%	Infonet	1	991	65.52%	13.85%
16	2013-08-31	56.8	@ Tammeka	1	879	33.23%	Narva Trans	1	995	52.67%	14.10%
17	2013-10-01	56.8	@ Tammeka	1	850	26.93%	Infonet	1	1017	59.06%	14.01%
18	2013-03-09	54.8	Tammeka	2	906	16.24%	@ Narva Trans	1	1094	70.09%	13.67%
19	2013-11-09	54.4	@ Infonet	3	944	35.11%	Narva Trans	2	1046	50.78%	14.11%
20	2013-05-31	53.3	@ Nomme Kalju	4	1286	50.25%	Flora	3	1278	35.63%	14.12%
21	2013-06-18	52.7	@ Nomme Kalju	0	1283	64.17%	Sillamae Kalev	0	1159	21.94%	13.89%
22	2013-04-27	52.6	@ Sillamae Kalev	0	1114	78.20%	Tallinna Kalev	0	802	8.74%	13.06%
23	2013-09-21	52.6	@ Flora	0	1251	77.79%	Paide Linnameeskond	0	947	9.11%	13.11%
24	2013-10-19	52.6	Tammeka	2	852	23.57%	@ Paide Linnameeskond	1	960	62.49%	13.94%
25	2013-04-06	52.5	@ Levadia	0	1248	67.29%	Sillamae Kalev	0	1092	18.92%	13.79%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2013-10-26	22.8	@ Flora	4	1246	86.52%	Kuressaare	0	679	2.23%	11.25%
2	2013-09-02	22.9	@ Nomme Kalju	4	1330	86.33%	Kuressaare	0	772	2.35%	11.32%
3	2013-09-21	23.1	Nomme Kalju	4	1352	85.68%	@ Kuressaare	0	734	2.76%	11.56%
4	2013-09-21	23.3	@ Levadia	5	1320	84.82%	Tallinna Kalev	0	827	3.34%	11.84%
5	2013-10-19	23.6	Sillamae Kalev	5	1225	83.61%	@ Kuressaare	0	686	4.23%	12.16%
6	2013-09-13	23.9	@ Flora	5	1249	82.66%	Tallinna Kalev	0	830	4.97%	12.37%
7	2013-11-02	24.0	@ Nomme Kalju	5	1369	82.53%	Infonet	0	953	5.07%	12.40%
8	2013-05-21	24.1	@ Flora	6	1280	82.98%	Kuressaare	0	851	4.72%	12.31%
9	2013-10-26	24.6	@ Sillamae Kalev	6	1240	81.08%	Tammeka	0	864	6.25%	12.67%
10	2013-11-09	24.7	Nomme Kalju	3	1377	83.39%	@ Tammeka	0	845	4.40%	12.21%
11	2013-11-02	25.4	Flora	4	1250	78.01%	@ Tammeka	0	852	8.90%	13.08%
12	2013-07-20	25.6	@ Nomme Kalju	3	1285	80.34%	Tammeka	0	928	6.88%	12.78%
13	2013-09-14	26.0	Nomme Kalju	4	1333	76.33%	@ Paide Linnameeskond	0	966	10.42%	13.25%
14	2013-05-21	26.3	@ Nomme Kalju	2	1331	84.55%	Tallinna Kalev	0	849	3.54%	11.91%
15	2013-10-26	26.3	Levadia	3	1366	78.29%	@ Infonet	0	962	8.66%	13.05%
16	2013-04-13	26.4	@ Nomme Kalju	4	1279	74.77%	Narva Trans	0	1027	11.85%	13.38%
17	2013-05-10	26.4	Nomme Kalju	3	1317	77.86%	@ Tammeka	0	922	9.04%	13.10%
18	2013-11-02	26.4	Sillamae Kalev	9	1253	77.83%	@ Tallinna Kalev	0	859	9.07%	13.10%
19	2013-04-13	26.6	@ Sillamae Kalev	4	1096	73.69%	Kuressaare	0	860	12.85%	13.46%
20	2013-08-09	26.7	@ Sillamae Kalev	2	1217	83.23%	Kuressaare	0	780	4.52%	12.25%
21	2013-07-26	26.8	@ Sillamae Kalev	2	1197	82.68%	Tallinna Kalev	0	777	4.95%	12.37%
22	2013-08-02	26.8	@ Levadia	3	1291	76.54%	Infonet	0	1010	10.23%	13.23%
23	2013-09-14	26.8	@ Levadia	2	1312	83.03%	Tammeka	0	881	4.68%	12.30%
24	2013-05-06	27.2	@ Nomme Kalju	2	1312	81.48%	Tammeka	0	926	5.92%	12.60%
25	2013-09-17	27.2	@ Nomme Kalju	2	1348	81.85%	Paide Linnameeskond	0	951	5.61%	12.53%