2014 Meistriliiga Season

180 games

Final

Champion

Levadia

84 points · 9th Title

Last Title: 2013

Relegated

No relegation

Biggest Overachiever

Infonet

9.23 points above expected

64 points · 54.77 expected points

Biggest Disappointment

Narva Trans

11.00 points below expected

28 points · 39.00 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	26	6	4	84	112	19	+93	76.03	+7.97
2	Sillamae Kalev	36	25	4	7	79	108	34	+74	73.60	+5.40
3	Nomme Kalju	36	24	7	5	79	85	19	+66	78.86	+0.14
4	Flora	36	24	7	5	79	88	36	+52	70.84	+8.16
5	Infonet	36	18	10	8	64	80	44	+36	54.77	+9.23
6	Paide Linnameeskond	36	9	8	19	35	39	67	-28	36.77	-1.77
7	Narva Trans	36	6	10	20	28	37	79	-42	39.00	-11.00
8	Tammeka	36	7	7	22	28	37	83	-46	31.46	-3.46
9	Johvi Lokomotiv	36	4	6	26	18	35	115	-80	27.32	-9.32
10	Tallinna Kalev	36	3	3	30	12	21	146	-125	18.02	-6.02

Top Overachievers & Disappointments

Teams that most beat — or most fell short of — their simulated point projections. A positive vsSim means the team accumulated more points than the model expected on average; a negative one means fewer.

Biggest Overachievers

#	Team	Actual	Sim	vsSim
1	Infonet	64	54.77	+9.23
2	Flora	79	70.84	+8.16
3	Levadia	84	76.03	+7.97
4	Sillamae Kalev	79	73.60	+5.40
5	Nomme Kalju	79	78.86	+0.14

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Narva Trans	28	39.00	-11.00
2	Johvi Lokomotiv	18	27.32	-9.32
3	Tallinna Kalev	12	18.02	-6.02
4	Tammeka	28	31.46	-3.46
5	Paide Linnameeskond	35	36.77	-1.77

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	8	May 23 – Jul 26	1 in 41
2	Sillamae Kalev	8	Jul 28 – Sep 13	1 in 35
3	Infonet	4	Jul 13 – Aug 1	1 in 19
4	Levadia	7	May 23 – Jul 18	1 in 16
5	Nomme Kalju	8	Apr 5 – May 19	1 in 15

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Tallinna Kalev	19	Jul 7 – Nov 8	1 in 271
2	Johvi Lokomotiv	6	Mar 1 – Apr 5	1 in 78
3	Narva Trans	5	Jun 21 – Jul 26	1 in 71
4	Nomme Kalju	2	May 23 – Jun 10	1 in 14
5	Levadia	1	Mar 1 – Mar 1	1 in 10

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Flora	18	Apr 5 – Aug 8	1 in 222
2	Infonet	10	Jun 10 – Aug 16	1 in 119
3	Levadia	19	Mar 8 – Jul 18	1 in 59
4	Paide Linnameeskond	4	Aug 2 – Aug 19	1 in 25
5	Johvi Lokomotiv	2	May 13 – May 20	1 in 10

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Johvi Lokomotiv	23	Mar 1 – Aug 8	1 in 223
2	Flora	4	Aug 4 – Aug 19	1 in 30
3	Narva Trans	10	Mar 22 – May 19	1 in 26
4	Tammeka	7	May 13 – Jun 21	1 in 17
5	Paide Linnameeskond	10	Aug 9 – Oct 4	1 in 8

Position Race

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

Recent Form

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

Team	Elo	Season Pts	Elo Δ (5)	Points (5)	Expected (5)	Actual − Exp
Levadia	1457	84	-11	12	10.5	+1.5
Sillamae Kalev	1543	79	+73	15	11.2	+3.8
Flora	1377	79	-2	9	9.2	-0.2
Nomme Kalju	1441	79	-63	9	10.9	-1.9
Infonet	1293	64	+84	12	8.8	+3.2
Paide Linnameeskond	961	35	-16	7	8.0	-1.0
Tammeka	864	28	-15	6	5.2	+0.8
Narva Trans	888	28	-25	1	2.3	-1.3
Johvi Lokomotiv	857	18	-5	3	3.3	-0.3
Tallinna Kalev	558	12	-21	0	1.3	-1.3

Head-to-Head

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

Beat expectations Fell short Within expectations

Team	FLO	INF	JL	LEV	NT	NK	PL	SK	TK	TAM
Flora	—	2-1-1 8.15	4-0-0 9.58	0-3-1 4.48	4-0-0 9.29	1-1-2 4.69	4-0-0 9.52	2-1-1 5.17	4-0-0 10.53	3-1-0 10.12
Infonet	1-1-2 3.07	—	3-1-0 9.27	2-0-2 2.62	3-1-0 7.49	0-3-1 2.55	2-2-0 8.40	0-1-3 3.22	4-0-0 9.88	3-1-0 8.74
Johvi Lokomotiv	0-0-4 1.77	0-1-3 2.00	—	0-0-4 1.02	1-1-2 3.87	0-0-4 1.28	0-1-3 3.88	0-0-4 1.14	2-0-2 7.32	1-3-0 4.45
Levadia	1-3-0 6.73	2-0-2 8.61	4-0-0 10.35	—	3-1-0 9.63	3-1-0 5.07	3-0-1 9.91	2-1-1 6.15	4-0-0 10.58	4-0-0 10.30
Narva Trans	0-0-4 1.99	0-1-3 3.75	2-1-1 7.34	0-1-3 1.68	—	0-1-3 1.54	1-3-0 6.03	0-1-3 1.97	2-1-1 8.73	1-1-2 6.49
Nomme Kalju	2-1-1 6.52	1-3-0 8.69	4-0-0 10.09	0-1-3 6.13	3-1-0 9.78	—	3-1-0 9.98	3-0-1 6.92	4-0-0 10.77	4-0-0 10.39
Paide Linnameeskond	0-0-4 1.76	0-2-2 2.83	3-1-0 7.33	1-0-3 1.41	0-3-1 5.18	0-1-3 1.33	—	0-0-4 1.56	3-1-0 8.61	2-0-2 6.63
Sillamae Kalev	1-1-2 6.03	3-1-0 8.00	4-0-0 10.20	1-1-2 5.06	3-1-0 9.31	1-0-3 4.29	4-0-0 9.72	—	4-0-0 10.45	4-0-0 9.85
Tallinna Kalev	0-0-4 0.88	0-0-4 1.44	2-0-2 3.89	0-0-4 0.86	1-1-2 2.51	0-0-4 0.69	0-1-3 2.63	0-0-4 0.96	—	0-1-3 3.65
Tammeka	0-1-3 1.20	0-1-3 2.50	0-3-1 6.75	0-0-4 1.05	2-1-1 4.71	0-0-4 0.98	2-0-2 4.57	0-0-4 1.46	3-1-0 7.57	—

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	0.95	+8.3
Allowed	0.88	-6.4
Differential	0.96	+3.8

Scoreline Distribution

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

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	6.94%	4.44%	4.72%	2.50%	6.39%	30.56%
1	6.94%	10.00%	3.33%	3.06%	1.67%	3.06%	28.06%
2	4.44%	3.33%	2.22%	2.50%	0.56%	1.39%	14.44%
3	4.72%	3.06%	2.50%	1.11%	—	—	11.39%
4	2.50%	1.67%	0.56%	—	—	—	4.72%
5+	6.39%	3.06%	1.39%	—	—	—	10.83%
Total	30.56%	28.06%	14.44%	11.39%	4.72%	10.83%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.78	1.78	+0.00
SD	2.00	2.00	3.27
CV	1.12	1.12	—
Max	10	10	+9
Min	0	0	-9

Games Played: 180

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	2.78%	2.78%	—	—	—	8.33%
1	13.89%	13.89%	2.78%	—	—	—	30.56%
2	5.56%	5.56%	2.78%	5.56%	—	—	19.44%
3	5.56%	8.33%	2.78%	—	—	—	16.67%
4	—	2.78%	2.78%	—	—	—	5.56%
5+	5.56%	5.56%	8.33%	—	—	—	19.44%
Total	33.33%	38.89%	22.22%	5.56%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.44	1.00	+1.44
SD	1.75	0.89	1.84
CV	0.71	0.89	—
Max	6	3	+6
Min	0	0	-2

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	—	2.78%	5.56%	2.78%	—	19.44%
1	5.56%	13.89%	—	8.33%	—	—	27.78%
2	5.56%	—	2.78%	2.78%	—	—	11.11%
3	8.33%	2.78%	8.33%	2.78%	—	—	22.22%
4	8.33%	—	—	—	—	—	8.33%
5+	5.56%	2.78%	2.78%	—	—	—	11.11%
Total	41.67%	19.44%	16.67%	19.44%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.22	1.22	+1.00
SD	2.10	1.27	2.72
CV	0.94	1.04	—
Max	10	4	+9
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	5.56%	11.11%	5.56%	2.78%	11.11%	38.89%
1	2.78%	5.56%	8.33%	11.11%	—	11.11%	38.89%
2	2.78%	—	5.56%	—	—	5.56%	13.89%
3	—	—	2.78%	2.78%	—	—	5.56%
4	—	—	—	—	—	—	—
5+	2.78%	—	—	—	—	—	2.78%
Total	11.11%	11.11%	27.78%	19.44%	2.78%	27.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.97	3.19	-2.22
SD	1.11	2.54	2.98
CV	1.14	0.79	—
Max	5	10	+5
Min	0	0	-9

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	2.78%	2.78%	2.78%	—	—	16.67%
1	16.67%	5.56%	—	—	—	—	22.22%
2	8.33%	2.78%	2.78%	2.78%	—	—	16.67%
3	5.56%	—	2.78%	—	—	—	8.33%
4	5.56%	2.78%	—	—	—	—	8.33%
5+	22.22%	5.56%	—	—	—	—	27.78%
Total	66.67%	19.44%	8.33%	5.56%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	3.11	0.53	+2.58
SD	2.84	0.88	3.17
CV	0.91	1.66	—
Max	9	3	+9
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	13.89%	—	2.78%	5.56%	5.56%	38.89%
1	2.78%	13.89%	8.33%	2.78%	2.78%	5.56%	36.11%
2	2.78%	2.78%	2.78%	2.78%	—	5.56%	16.67%
3	2.78%	—	—	—	—	—	2.78%
4	—	2.78%	—	—	—	—	2.78%
5+	2.78%	—	—	—	—	—	2.78%
Total	22.22%	33.33%	11.11%	8.33%	8.33%	16.67%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.03	2.19	-1.17
SD	1.18	2.25	2.68
CV	1.15	1.03	—
Max	5	8	+5
Min	0	0	-7

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	8.33%	2.78%	—	—	—	22.22%
1	11.11%	8.33%	—	—	—	—	19.44%
2	8.33%	5.56%	—	2.78%	—	—	16.67%
3	11.11%	8.33%	2.78%	—	—	—	22.22%
4	2.78%	—	—	—	—	—	2.78%
5+	13.89%	2.78%	—	—	—	—	16.67%
Total	58.33%	33.33%	5.56%	2.78%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.36	0.53	+1.83
SD	2.21	0.74	2.47
CV	0.93	1.39	—
Max	9	3	+9
Min	0	0	-2

Games Played: 36

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.08	1.86	-0.78
SD	1.50	1.68	2.49
CV	1.38	0.90	—
Max	6	6	+4
Min	0	0	-6

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	8.33%	2.78%	2.78%	—	—	13.89%
1	5.56%	5.56%	2.78%	—	—	—	13.89%
2	8.33%	2.78%	2.78%	2.78%	—	—	16.67%
3	8.33%	8.33%	5.56%	2.78%	—	—	25.00%
4	2.78%	5.56%	—	—	—	—	8.33%
5+	11.11%	11.11%	—	—	—	—	22.22%
Total	36.11%	41.67%	13.89%	8.33%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	3.00	0.94	+2.06
SD	2.27	0.92	2.68
CV	0.76	0.98	—
Max	8	3	+8
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	2.78%	8.33%	8.33%	2.78%	30.56%	52.78%
1	2.78%	8.33%	5.56%	2.78%	8.33%	11.11%	38.89%
2	—	2.78%	—	—	—	2.78%	5.56%
3	—	2.78%	—	—	—	—	2.78%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	2.78%	16.67%	13.89%	11.11%	11.11%	44.44%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.58	4.06	-3.47
SD	0.73	2.45	2.78
CV	1.25	0.60	—
Max	3	9	+2
Min	0	0	-9

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	13.89%	8.33%	8.33%	5.56%	11.11%	47.22%
1	2.78%	13.89%	2.78%	—	2.78%	—	22.22%
2	2.78%	8.33%	2.78%	2.78%	5.56%	—	22.22%
3	—	—	—	2.78%	—	—	2.78%
4	2.78%	—	—	—	—	—	2.78%
5+	—	2.78%	—	—	—	—	2.78%
Total	8.33%	38.89%	13.89%	13.89%	13.89%	11.11%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.03	2.31	-1.28
SD	1.34	1.80	2.57
CV	1.31	0.78	—
Max	6	7	+5
Min	0	0	-7

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
Sillamae Kalev	1543	79	73.60	+5.40	80.0%	59	62	69	74	78	85	94
Levadia	1457	84	76.03	+7.97	90.0%	59	64	70	76	81	88	94
Nomme Kalju	1441	79	78.86	+0.14	58.0%	63	68	74	78	84	89	95
Flora	1377	79	70.84	+8.16	88.0%	55	58	67	70	75	82	85
Infonet	1293	64	54.77	+9.23	89.0%	36	43	50	55	60	66	71
Paide Linnameeskond	961	35	36.77	-1.77	40.0%	22	25	31	37	41	48	52
Narva Trans	888	28	39.00	-11.00	9.0%	19	26	34	40	43	51	60
Tammeka	864	28	31.46	-3.46	38.0%	18	21	26	31	37	42	47
Johvi Lokomotiv	857	18	27.32	-9.32	9.0%	15	17	23	27	31	36	44
Tallinna Kalev	558	12	18.02	-6.02	10.0%	4	11	14	17	21	28	31

Point Totals in Context

How did each team's actual results compare to their simulated points, Elo rating, average opponent Elo, and percentile within simulated outcomes? Use the buttons to switch between views. In each chart, dashed crosshairs at the league means split the plot into four quadrants: pastel green (team did well, model agreed), pastel red (team did poorly, model agreed), and pastel yellow (model and reality disagreed).

Home-Field Advantage Edge

The simulation applies the same home-field boost to every game across the league, so the per-game home win probabilities bake in the model's idea of HFA. For each team, we sum expected points at home and compare to actual home points, and the same on the road. The bar shows (home points above expected) minus (away points above expected). A tall positive bar means the team's home/road split exceeded what the model predicted — a real fortress effect. A tall negative bar means the reverse: they played worse at home or better on the road than expected.

Season Trends

How each metric evolved across the season - Elo rating, actual and projected points, title/promotion probability, and relegation probability - day by day.

Edges & Scoring

How these are measured

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

Home Edge: Share of matches won by the home team minus the share won by the away team.
No Edge: under 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

+0.00%

No Edge

40.56%18.89%40.56%

Elo Value

Home Edge: 0.00 Elo pts.

154 Elo

0.006 goals per Elo point

0400

Scoring Tilt

Expected

+0.13 goals

Neutral

-2+0.00+2

Title Race

How these are measured

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

Title-Race Openness: Effective number of teams with a live shot at finishing 1st, from the simulation. 1 means the favorite is a near-lock; larger means a wide-open race. Equal to 1 divided by the sum of squared title odds.
One-Team Race: under 2 * Top-Heavy: 2 to 3 * Open: 3 to 4 * Wide Open: 4 and up.
Champion Preseason Odds: Preseason probability that the eventual champion would finish 1st, from the simulation. The dot marks their rank across all teams, from longshot to favorite.
Preseason Favorite: 1st * Among the Favorites: 2nd * Middle of the Pack: 3rd to 5th * Longshot: 6th or lower.
Title Margin: Points-per-game gap between the champion and the runner-up. Shown per game so it reads the same across long and short seasons. The gold line is the winning margin the model expected, so a dot to the right means a more one-sided race than projected. A title won on goal difference shows 0.00.
Photo Finish: under 0.1 * Tight Race: 0.1 to 0.19 * Comfortable: 0.19 to 0.38 * Runaway: 0.38 and up.

Title-Race Openness

3.2

Open

123410

Champion Preseason Odds

33%

Levadia, 2nd of 10

LongshotFavorite

Title Margin

Expected

0.14/gm

Tight Race

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 5.36 * Some Luck: 5.36 to 8.04 * Lucky: 8.04 to 10.72 * Wild Swing: 10.72 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 0.57 * Close: 0.57 to 0.85 * Off: 0.85 to 1.13 * Way Off: 1.13 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

7.10 points

Some Luck

06.7017

Average Finish Error

Expected

0.60

00.711.5

Biggest Overachiever

Expected 95.00%

90.00%

Levadia

50100

Biggest Underachiever

Expected 5.00%

9.00%

Narva Trans

050

Season Outliers

Expected

0 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

0.30

Top-Heavy

00.270.5

Noll-Scully

Elo SD: 336.81

3.53

Wide Separation

12.733.33.75

Interquartile Edge

96%

Wide Edge

50%87.5%100%

Best vs. Worst

Baseline 100%

100%

Dominant

50%100%

Close Games

Expected

44%

Some Drama

0%35%100%

Blowouts

Expected

39%

Frequent

0%45%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

0.42

Highly Predictable

00.472

Matchup Imbalance

0.62

Notable Separation

00.5

Strangeness

Expected

1.12

Wilder Than Modeled

01.002

Repeatability

0.79

Some Carryover

00.70.841

Upset Rate

Expected

13%

As Expected

0%15%50%

Clear Favorite Upset Rate

Expected

As Expected

0%12%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 0.1 * Near Noise Ceiling: 0.1 to 0.15 * Above Noise: 0.15 to 0.2 * Well Above Noise: 0.2 and up.

Probability calibration

0.17

Well Calibrated

0.010.050.10.51

Calibration slope

Ideal

1.21

Underconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.065

Well Within Noise

00.0980.25

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	33.00%	24.00%	24.00%	17.00%	2.00%	—	—	—	—	—
Sillamae Kalev	18.00%	26.00%	29.00%	22.00%	5.00%	—	—	—	—	—
Nomme Kalju	41.00%	33.00%	20.00%	6.00%	—	—	—	—	—	—
Flora	8.00%	17.00%	24.00%	44.00%	7.00%	—	—	—	—	—
Infonet	—	—	3.00%	11.00%	77.00%	8.00%	—	1.00%	—	—
Paide Linnameeskond	—	—	—	—	3.00%	30.00%	39.00%	17.00%	10.00%	1.00%
Narva Trans	—	—	—	—	5.00%	52.00%	20.00%	18.00%	5.00%	—
Tammeka	—	—	—	—	1.00%	7.00%	25.00%	35.00%	29.00%	3.00%
Johvi Lokomotiv	—	—	—	—	—	3.00%	16.00%	26.00%	44.00%	11.00%
Tallinna Kalev	—	—	—	—	—	—	—	3.00%	12.00%	85.00%

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%	—	—
Narva Trans	95.00%	5.00%	—
Nomme Kalju	100%	—	—
Sillamae Kalev	100%	—	—
Paide Linnameeskond	89.00%	10.00%	1.00%
Tammeka	68.00%	29.00%	3.00%
Johvi Lokomotiv	45.00%	44.00%	11.00%
Tallinna Kalev	3.00%	12.00%	85.00%

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
2014-03-01	Flora	L 1-3	42.9	1145	1208	31.48%	19.97%	48.55%	-0.40	-31.6	0
2014-03-01	@ Johvi Lokomotiv	W 3-1	42.9	1208	1145	48.55%	19.97%	31.48%	+0.40	+31.6	3
2014-03-01	Paide Linnameeskond	L 0-1	51.7	1306	998	71.51%	18.57%	9.92%	+2.00	-40.2	0
2014-03-01	@ Levadia	W 1-0	51.7	998	1306	9.92%	18.57%	71.51%	-2.00	+40.2	3
2014-03-01	Sillamae Kalev	L 0-6	27.5	925	1289	7.43%	18.03%	74.54%	-2.36	-27.0	0
2014-03-01	@ Tallinna Kalev	W 6-0	27.5	1289	925	74.54%	18.03%	7.43%	+2.36	+27.0	3
2014-03-01	Infonet	D 0-0	50.5	1321	1027	70.68%	18.69%	10.62%	+1.91	-9.4	1
2014-03-01	@ Nomme Kalju	D 0-0	50.5	1027	1321	10.62%	18.69%	70.68%	-1.91	+9.4	1
2014-03-08	Nomme Kalju	L 0-2	34.3	1114	1312	17.09%	19.41%	63.50%	-1.29	-21.5	0
2014-03-08	@ Johvi Lokomotiv	W 2-0	34.3	1312	1114	63.50%	19.41%	17.09%	+1.29	+21.5	4
2014-03-08	Paide Linnameeskond	W 5-0	31.1	1239	1038	63.72%	19.40%	16.88%	+1.30	+49.7	6
2014-03-08	@ Flora	L 0-5	31.1	1038	1239	16.88%	19.40%	63.72%	-1.30	-49.7	3
2014-03-08	Sillamae Kalev	D 2-2	58.3	1266	1316	32.99%	20.00%	47.02%	-0.33	+1.3	1
2014-03-08	@ Levadia	D 2-2	58.3	1316	1266	47.02%	20.00%	32.99%	+0.33	-1.3	4
2014-03-08	Tallinna Kalev	D 1-1	53.3	1077	898	61.72%	19.53%	18.76%	+1.16	-5.8	1
2014-03-08	@ Narva Trans	D 1-1	53.3	898	1077	18.76%	19.53%	61.72%	-1.16	+5.8	1
2014-03-08	Tammeka	W 3-0	35.9	1036	940	52.83%	19.89%	27.28%	+0.62	+47.0	4
2014-03-08	@ Infonet	L 0-3	35.9	940	1036	27.28%	19.89%	52.83%	-0.62	-47.1	0
2014-03-14	Tammeka	W 3-0	29.0	1289	893	75.99%	17.70%	6.31%	+2.57	+12.0	9
2014-03-14	@ Flora	L 0-3	29.0	893	1289	6.31%	17.70%	75.99%	-2.57	-12.0	0
2014-03-15	Johvi Lokomotiv	W 5-0	39.1	1071	1092	36.99%	20.03%	42.98%	-0.14	+110.1	4
2014-03-15	@ Narva Trans	L 0-5	39.1	1092	1071	42.98%	20.03%	36.99%	+0.14	-110.1	0
2014-03-15	Levadia	L 0-8	27.4	904	1267	7.47%	18.04%	74.49%	-2.36	-35.7	1
2014-03-15	@ Tallinna Kalev	W 8-0	27.4	1267	904	74.49%	18.04%	7.47%	+2.36	+35.7	4
2014-03-15	Nomme Kalju	L 0-6	27.8	989	1333	8.21%	18.23%	73.56%	-2.24	-29.8	3
2014-03-15	@ Paide Linnameeskond	W 6-0	27.8	1333	989	73.56%	18.23%	8.21%	+2.24	+29.8	7
2014-03-15	Infonet	W 3-1	37.7	1315	1084	66.28%	19.19%	14.53%	+1.50	+16.0	7
2014-03-15	@ Sillamae Kalev	L 1-3	37.7	1084	1315	14.53%	19.19%	66.28%	-1.50	-16.0	4
2014-03-21	Paide Linnameeskond	D 1-1	53.2	1067	959	54.30%	19.85%	25.86%	+0.70	-3.7	5
2014-03-21	@ Infonet	D 1-1	53.2	959	1067	25.86%	19.85%	54.30%	-0.70	+3.7	4
2014-03-22	Flora	D 1-1	54.7	1363	1301	48.58%	19.97%	31.45%	+0.40	-2.2	8
2014-03-22	@ Nomme Kalju	D 1-1	54.7	1301	1363	31.45%	19.97%	48.58%	-0.40	+2.2	10
2014-03-22	Narva Trans	D 1-1	53.8	1331	1181	58.85%	19.68%	21.48%	+0.97	-4.9	8
2014-03-22	@ Sillamae Kalev	D 1-1	53.8	1181	1331	21.48%	19.68%	58.85%	-0.97	+4.9	5
2014-03-22	Tallinna Kalev	L 0-1	47.0	982	868	54.92%	19.83%	25.25%	+0.74	-31.0	0
2014-03-22	@ Johvi Lokomotiv	W 1-0	47.0	868	982	25.25%	19.83%	54.92%	-0.74	+31.0	4
2014-03-22	Tammeka	W 2-0	30.0	1303	881	77.07%	17.41%	5.52%	+2.74	+7.2	7
2014-03-22	@ Levadia	L 0-2	30.0	881	1303	5.52%	17.41%	77.07%	-2.74	-7.2	0
2014-03-28	Infonet	L 2-3	58.7	1303	1064	66.88%	19.14%	13.99%	+1.55	-33.6	10
2014-03-28	@ Flora	W 3-2	58.7	1064	1303	13.99%	19.14%	66.88%	-1.55	+33.6	8
2014-03-29	Levadia	D 0-0	51.5	1361	1310	47.09%	19.99%	32.91%	+0.33	-2.0	9
2014-03-29	@ Nomme Kalju	D 0-0	51.5	1310	1361	32.91%	19.99%	47.09%	-0.33	+2.0	8
2014-03-29	Narva Trans	D 0-0	50.2	963	1186	15.10%	19.25%	65.65%	-1.45	+7.7	5
2014-03-29	@ Paide Linnameeskond	D 0-0	50.2	1186	963	65.65%	19.25%	15.10%	+1.45	-7.7	6
2014-03-29	Sillamae Kalev	L 1-3	34.9	951	1326	7.03%	17.92%	75.05%	-2.43	-8.0	0
2014-03-29	@ Johvi Lokomotiv	W 3-1	34.9	1326	951	75.05%	17.92%	7.03%	+2.43	+8.0	11
2014-03-29	Tammeka	L 1-6	42.5	899	874	43.57%	20.03%	36.40%	+0.16	-92.2	4
2014-03-29	@ Tallinna Kalev	W 6-1	42.5	874	899	36.40%	20.03%	43.57%	-0.16	+92.2	3
2014-04-04	Paide Linnameeskond	D 1-1	53.3	807	970	20.18%	19.61%	60.21%	-1.06	+5.3	5
2014-04-04	@ Tallinna Kalev	D 1-1	53.3	970	807	60.21%	19.61%	20.18%	+1.06	-5.3	6
2014-04-05	Flora	D 1-1	54.0	1312	1269	45.94%	20.01%	34.05%	+0.28	-1.5	9
2014-04-05	@ Levadia	D 1-1	54.0	1269	1312	34.05%	20.01%	45.94%	-0.28	+1.5	11
2014-04-05	Johvi Lokomotiv	W 2-0	35.3	1097	943	59.30%	19.66%	21.04%	+1.00	+25.9	11
2014-04-05	@ Infonet	L 0-2	35.3	943	1097	21.04%	19.66%	59.30%	-1.00	-25.9	0
2014-04-05	Nomme Kalju	L 0-4	32.8	1179	1359	18.59%	19.52%	61.89%	-1.17	-44.0	6
2014-04-05	@ Narva Trans	W 4-0	32.8	1359	1179	61.89%	19.52%	18.59%	+1.17	+44.0	12
2014-04-05	Tammeka	W 5-0	27.8	1334	966	74.72%	17.99%	7.29%	+2.39	+22.3	14
2014-04-05	@ Sillamae Kalev	L 0-5	27.8	966	1334	7.29%	17.99%	74.72%	-2.39	-22.3	3
2014-04-11	Infonet	W 3-0	33.3	1310	1123	62.51%	19.48%	18.02%	+1.21	+32.7	12
2014-04-11	@ Levadia	L 0-3	33.3	1123	1310	18.02%	19.48%	62.51%	-1.21	-32.7	11
2014-04-12	Johvi Lokomotiv	D 1-1	53.2	944	917	43.74%	20.03%	36.23%	+0.17	-0.9	4
2014-04-12	@ Tammeka	D 1-1	53.2	917	944	36.23%	20.03%	43.74%	-0.17	+0.9	1
2014-04-12	Narva Trans	W 1-0	37.6	1271	1135	57.43%	19.74%	22.83%	+0.88	+14.8	14
2014-04-12	@ Flora	L 0-1	37.6	1135	1271	22.83%	19.74%	57.43%	-0.88	-14.7	6
2014-04-12	Sillamae Kalev	L 0-3	29.2	965	1356	6.46%	17.74%	75.80%	-2.54	-12.3	6
2014-04-12	@ Paide Linnameeskond	W 3-0	29.2	1356	965	75.80%	17.74%	6.46%	+2.54	+12.2	17
2014-04-12	Tallinna Kalev	W 2-1	33.7	1403	812	82.44%	15.29%	2.27%	+3.83	+1.4	15
2014-04-12	@ Nomme Kalju	L 1-2	33.7	812	1403	2.27%	15.29%	82.44%	-3.83	-1.4	5
2014-04-18	Paide Linnameeskond	L 2-4	48.9	943	953	38.59%	20.04%	41.38%	-0.06	-33.4	4
2014-04-18	@ Tammeka	W 4-2	48.9	953	943	41.38%	20.04%	38.59%	+0.06	+33.4	9
2014-04-18	Infonet	D 1-1	53.2	1120	1091	44.12%	20.02%	35.86%	+0.19	-1.0	7
2014-04-18	@ Narva Trans	D 1-1	53.2	1091	1120	35.86%	20.02%	44.12%	-0.19	+1.0	12
2014-04-19	Flora	L 1-4	32.4	811	1286	4.18%	16.78%	79.03%	-3.08	-6.6	5
2014-04-19	@ Tallinna Kalev	W 4-1	32.4	1286	811	79.03%	16.78%	4.18%	+3.08	+6.6	17
2014-04-19	Levadia	L 0-4	27.7	918	1343	5.42%	17.37%	77.21%	-2.76	-13.4	1
2014-04-19	@ Johvi Lokomotiv	W 4-0	27.7	1343	918	77.21%	17.37%	5.42%	+2.76	+13.4	15
2014-04-19	Nomme Kalju	L 0-3	41.4	1369	1405	34.95%	20.02%	45.03%	-0.23	-57.8	17
2014-04-19	@ Sillamae Kalev	W 3-0	41.4	1405	1369	45.03%	20.02%	34.95%	+0.23	+57.8	18
2014-04-25	Tallinna Kalev	W 6-0	28.7	1092	804	70.24%	18.76%	11.01%	+1.86	+39.6	15
2014-04-25	@ Infonet	L 0-6	28.7	804	1092	11.01%	18.76%	70.24%	-1.86	-39.6	5
2014-04-26	Johvi Lokomotiv	W 3-0	36.5	986	905	51.00%	19.93%	29.07%	+0.53	+49.7	12
2014-04-26	@ Paide Linnameeskond	L 0-3	36.5	905	986	29.07%	19.93%	51.00%	-0.53	-49.6	1
2014-04-26	Narva Trans	W 1-0	34.9	1357	1119	66.77%	19.15%	14.08%	+1.54	+9.5	18
2014-04-26	@ Levadia	L 0-1	34.9	1119	1357	14.08%	19.15%	66.77%	-1.54	-9.5	7
2014-04-26	Sillamae Kalev	D 1-1	54.1	1292	1311	37.35%	20.03%	42.62%	-0.12	+0.7	18
2014-04-26	@ Flora	D 1-1	54.1	1311	1292	42.62%	20.03%	37.35%	+0.12	-0.6	18
2014-04-28	Tammeka	W 6-0	25.5	1462	910	81.43%	15.79%	2.78%	+3.59	+9.8	21
2014-04-28	@ Nomme Kalju	L 0-6	25.5	910	1462	2.78%	15.79%	81.43%	-3.59	-9.8	4
2014-05-02	Nomme Kalju	L 0-2	28.7	900	1472	2.50%	15.53%	81.96%	-3.71	-3.2	4
2014-05-02	@ Tammeka	W 2-0	28.7	1472	900	81.96%	15.53%	2.50%	+3.71	+3.2	24
2014-05-02	Infonet	L 1-3	34.9	765	1131	7.34%	18.01%	74.65%	-2.38	-8.3	5
2014-05-02	@ Tallinna Kalev	W 3-1	34.9	1131	765	74.65%	18.01%	7.34%	+2.38	+8.3	18
2014-05-03	Flora	L 1-2	48.1	1310	1293	42.44%	20.03%	37.53%	+0.11	-23.3	18
2014-05-03	@ Sillamae Kalev	W 2-1	48.1	1293	1310	37.53%	20.03%	42.44%	-0.11	+23.3	21
2014-05-03	Levadia	D 0-0	50.6	1109	1366	12.81%	19.00%	68.19%	-1.67	+8.5	8
2014-05-03	@ Narva Trans	D 0-0	50.6	1366	1109	68.19%	19.00%	12.81%	+1.67	-8.5	19
2014-05-03	Paide Linnameeskond	L 1-2	39.9	855	1036	18.59%	19.52%	61.89%	-1.17	-11.6	1
2014-05-03	@ Johvi Lokomotiv	W 2-1	39.9	1036	855	61.89%	19.52%	18.59%	+1.17	+11.6	15
2014-05-09	Johvi Lokomotiv	W 6-0	25.7	1358	844	80.30%	16.29%	3.40%	+3.34	+12.2	22
2014-05-09	@ Levadia	L 0-6	25.7	844	1358	3.40%	16.29%	80.30%	-3.34	-12.2	1
2014-05-09	Narva Trans	W 4-0	37.9	1140	1118	43.07%	20.03%	36.90%	+0.14	+79.0	21
2014-05-09	@ Infonet	L 0-4	37.9	1118	1140	36.90%	20.03%	43.07%	-0.14	-79.0	8
2014-05-09	Tallinna Kalev	W 5-1	30.2	1316	756	81.62%	15.70%	2.68%	+3.63	+5.4	24
2014-05-09	@ Flora	L 1-5	30.2	756	1316	2.68%	15.70%	81.62%	-3.63	-5.4	5
2014-05-10	Sillamae Kalev	W 1-0	38.6	1475	1287	62.63%	19.47%	17.90%	+1.22	+11.9	27
2014-05-10	@ Nomme Kalju	L 0-1	38.6	1287	1475	17.90%	19.47%	62.63%	-1.22	-11.9	18
2014-05-10	Tammeka	L 0-4	44.4	1047	897	58.96%	19.67%	21.37%	+0.98	-118.6	15
2014-05-10	@ Paide Linnameeskond	W 4-0	44.4	897	1047	21.37%	19.67%	58.96%	-0.98	+118.6	7
2014-05-12	Levadia	L 0-4	33.9	1218	1370	21.32%	19.67%	59.01%	-0.98	-49.7	21
2014-05-12	@ Infonet	W 4-0	33.9	1370	1218	59.01%	19.67%	21.32%	+0.98	+49.7	25
2014-05-13	Flora	L 0-1	33.7	1039	1322	11.26%	18.79%	69.95%	-1.84	-7.7	8
2014-05-13	@ Narva Trans	W 1-0	33.7	1322	1039	69.95%	18.79%	11.26%	+1.84	+7.7	27
2014-05-13	Nomme Kalju	L 0-3	26.1	751	1487	1.05%	13.29%	85.66%	-4.78	-1.8	5
2014-05-13	@ Tallinna Kalev	W 3-0	26.1	1487	751	85.66%	13.29%	1.05%	+4.78	+1.8	30
2014-05-13	Paide Linnameeskond	W 3-1	35.3	1275	929	73.64%	18.21%	8.15%	+2.25	+9.2	21
2014-05-13	@ Sillamae Kalev	L 1-3	35.3	929	1275	8.15%	18.21%	73.64%	-2.25	-9.2	15
2014-05-13	Tammeka	D 2-2	57.6	831	1015	18.31%	19.50%	62.19%	-1.19	+4.4	2
2014-05-13	@ Johvi Lokomotiv	D 2-2	57.6	1015	831	62.19%	19.50%	18.31%	+1.19	-4.4	8
2014-05-19	Narva Trans	W 2-1	35.4	1489	1031	78.45%	16.98%	4.56%	+2.97	+3.0	33
2014-05-19	@ Nomme Kalju	L 1-2	35.4	1031	1489	4.56%	16.98%	78.45%	-2.97	-3.0	8
2014-05-20	Levadia	D 0-0	52.6	1329	1420	28.00%	19.91%	52.10%	-0.59	+3.5	28
2014-05-20	@ Flora	D 0-0	52.6	1420	1329	52.10%	19.91%	28.00%	+0.59	-3.5	26
2014-05-20	Sillamae Kalev	L 0-6	29.1	1011	1284	11.80%	18.87%	69.33%	-1.77	-42.3	8
2014-05-20	@ Tammeka	W 6-0	29.1	1284	1011	69.33%	18.87%	11.80%	+1.77	+42.3	24
2014-05-20	Infonet	D 1-1	53.7	836	1169	8.72%	18.34%	72.94%	-2.16	+9.0	3
2014-05-20	@ Johvi Lokomotiv	D 1-1	53.7	1169	836	72.94%	18.34%	8.72%	+2.16	-9.0	22
2014-05-20	Tallinna Kalev	W 6-2	39.0	920	749	60.91%	19.57%	19.51%	+1.11	+32.5	18
2014-05-20	@ Paide Linnameeskond	L 2-6	39.0	749	920	19.51%	19.57%	60.91%	-1.11	-32.5	5
2014-05-23	Flora	L 2-3	44.8	1160	1333	19.26%	19.56%	61.18%	-1.12	-11.4	22
2014-05-23	@ Infonet	W 3-2	44.8	1333	1160	61.18%	19.56%	19.26%	+1.12	+11.4	31
2014-05-23	Nomme Kalju	W 1-0	52.3	1416	1492	29.72%	19.94%	50.33%	-0.49	+28.6	29
2014-05-23	@ Levadia	L 0-1	52.3	1492	1416	50.33%	19.94%	29.72%	+0.49	-28.6	33
2014-05-24	Johvi Lokomotiv	W 6-1	29.7	1327	845	79.27%	16.70%	4.03%	+3.13	+10.1	27
2014-05-24	@ Sillamae Kalev	L 1-6	29.7	845	1327	4.03%	16.70%	79.27%	-3.13	-10.1	3
2014-05-24	Paide Linnameeskond	W 1-0	39.5	1028	952	50.34%	19.94%	29.71%	+0.49	+18.5	11
2014-05-24	@ Narva Trans	L 0-1	39.5	952	1028	29.71%	19.94%	50.34%	-0.49	-18.5	18
2014-05-24	Tammeka	D 1-1	53.5	717	968	13.15%	19.04%	67.81%	-1.63	+7.5	6
2014-05-24	@ Tallinna Kalev	D 1-1	53.5	968	717	67.81%	19.04%	13.15%	+1.63	-7.5	9
2014-05-31	Narva Trans	D 1-1	53.2	961	1047	28.54%	19.92%	51.54%	-0.56	+2.9	10
2014-05-31	@ Tammeka	D 1-1	53.2	1047	961	51.54%	19.92%	28.54%	+0.56	-2.9	12
2014-06-07	Sillamae Kalev	L 1-4	35.1	1044	1337	10.69%	18.71%	70.60%	-1.90	-17.0	12
2014-06-07	@ Narva Trans	W 4-1	35.1	1337	1044	70.60%	18.71%	10.69%	+1.90	+17.0	30
2014-06-09	Johvi Lokomotiv	W 2-1	50.7	724	835	25.63%	19.84%	54.53%	-0.72	+29.0	9
2014-06-09	@ Tallinna Kalev	L 1-2	50.7	835	724	54.53%	19.84%	25.63%	+0.72	-29.0	3
2014-06-10	Levadia	L 0-7	26.1	964	1445	4.05%	16.71%	79.24%	-3.12	-16.9	10
2014-06-10	@ Tammeka	W 7-0	26.1	1445	964	79.24%	16.71%	4.05%	+3.12	+16.9	32
2014-06-10	Nomme Kalju	W 1-0	51.0	1344	1463	24.65%	19.81%	55.54%	-0.77	+31.3	34
2014-06-10	@ Flora	L 0-1	51.0	1463	1344	55.54%	19.81%	24.65%	+0.77	-31.3	33
2014-06-10	Infonet	L 0-1	35.1	934	1148	15.77%	19.31%	64.92%	-1.39	-10.6	18
2014-06-10	@ Paide Linnameeskond	W 1-0	35.1	1148	934	64.92%	19.31%	15.77%	+1.39	+10.6	25
2014-06-14	Narva Trans	L 0-2	33.5	806	1027	15.31%	19.27%	65.43%	-1.43	-19.4	3
2014-06-14	@ Johvi Lokomotiv	W 2-0	33.5	1027	806	65.43%	19.27%	15.31%	+1.43	+19.4	15
2014-06-14	Paide Linnameeskond	W 3-0	27.9	1432	923	80.15%	16.35%	3.49%	+3.30	+6.5	36
2014-06-14	@ Nomme Kalju	L 0-3	27.9	923	1432	3.49%	16.35%	80.15%	-3.30	-6.5	18
2014-06-14	Sillamae Kalev	D 3-3	62.0	1159	1354	17.38%	19.43%	63.18%	-1.26	+3.8	26
2014-06-14	@ Infonet	D 3-3	62.0	1354	1159	63.18%	19.43%	17.38%	+1.26	-3.8	31
2014-06-14	Tammeka	W 1-0	31.5	1375	947	77.34%	17.33%	5.33%	+2.78	+3.7	37
2014-06-14	@ Flora	L 0-1	31.5	947	1375	5.33%	17.33%	77.34%	-2.78	-3.7	10
2014-06-15	Tallinna Kalev	W 9-0	24.3	1462	753	85.10%	13.68%	1.22%	+4.60	+6.0	35
2014-06-15	@ Levadia	L 0-9	24.3	753	1462	1.22%	13.68%	85.10%	-4.60	-6.0	9
2014-06-21	Flora	L 1-5	31.2	916	1379	4.45%	16.93%	78.62%	-3.00	-9.1	18
2014-06-21	@ Paide Linnameeskond	W 5-1	31.2	1379	916	78.62%	16.93%	4.45%	+3.00	+9.1	40
2014-06-21	Levadia	L 0-2	40.5	1350	1468	24.82%	19.81%	55.36%	-0.76	-29.9	31
2014-06-21	@ Sillamae Kalev	W 2-0	40.5	1468	1350	55.36%	19.81%	24.82%	+0.76	+29.9	38
2014-06-21	Narva Trans	W 3-1	54.2	747	1046	10.38%	18.65%	70.97%	-1.94	+65.2	12
2014-06-21	@ Tallinna Kalev	L 1-3	54.2	1046	747	70.97%	18.65%	10.38%	+1.94	-65.2	15
2014-06-21	Nomme Kalju	L 1-3	32.2	786	1439	1.64%	14.45%	83.91%	-4.23	-1.8	3
2014-06-21	@ Johvi Lokomotiv	W 3-1	32.2	1439	786	83.91%	14.45%	1.64%	+4.23	+1.8	39
2014-06-21	Infonet	L 0-4	31.2	943	1163	15.42%	19.28%	65.31%	-1.42	-37.1	10
2014-06-21	@ Tammeka	W 4-0	31.2	1163	943	65.31%	19.28%	15.42%	+1.42	+37.1	29
2014-07-05	Levadia	L 0-2	28.6	907	1497	2.28%	15.30%	82.42%	-3.83	-2.9	18
2014-07-05	@ Paide Linnameeskond	W 2-0	28.6	1497	907	82.42%	15.30%	2.28%	+3.83	+2.9	41
2014-07-06	Johvi Lokomotiv	W 3-1	32.6	1388	785	82.76%	15.12%	2.12%	+3.92	+2.3	43
2014-07-06	@ Flora	L 1-3	32.6	785	1388	2.12%	15.12%	82.76%	-3.92	-2.3	3
2014-07-07	Nomme Kalju	D 0-0	51.5	1200	1440	13.90%	19.13%	66.97%	-1.56	+8.1	30
2014-07-07	@ Infonet	D 0-0	51.5	1440	1200	66.97%	19.13%	13.90%	+1.56	-8.1	40
2014-07-07	Tallinna Kalev	W 6-1	29.4	1320	812	80.10%	16.38%	3.52%	+3.29	+8.8	34
2014-07-07	@ Sillamae Kalev	L 1-6	29.4	812	1320	3.52%	16.38%	80.10%	-3.29	-8.8	12
2014-07-07	Tammeka	L 1-2	49.5	981	906	50.16%	19.95%	29.89%	+0.48	-26.9	15
2014-07-07	@ Narva Trans	W 2-1	49.5	906	981	29.89%	19.95%	50.16%	-0.48	+26.9	13
2014-07-11	Paide Linnameeskond	D 0-0	50.0	782	904	24.34%	19.80%	55.86%	-0.79	+4.6	4
2014-07-11	@ Johvi Lokomotiv	D 0-0	50.0	904	782	55.86%	19.80%	24.34%	+0.79	-4.6	19
2014-07-12	Narva Trans	W 7-0	25.6	1500	954	81.25%	15.88%	2.87%	+3.55	+11.8	44
2014-07-12	@ Levadia	L 0-7	25.6	954	1500	2.87%	15.88%	81.25%	-3.55	-11.8	15
2014-07-13	Tallinna Kalev	W 5-0	27.2	1208	804	76.37%	17.60%	6.03%	+2.62	+18.4	33
2014-07-13	@ Infonet	L 0-5	27.2	804	1208	6.03%	17.60%	76.37%	-2.62	-18.4	12
2014-07-14	Sillamae Kalev	W 1-0	42.2	1391	1329	48.52%	19.98%	31.51%	+0.40	+19.4	46
2014-07-14	@ Flora	L 0-1	42.2	1329	1391	31.51%	19.98%	48.52%	-0.40	-19.4	34
2014-07-14	Tammeka	W 3-0	28.0	1432	933	79.84%	16.48%	3.68%	+3.24	+6.9	43
2014-07-14	@ Nomme Kalju	L 0-3	28.0	933	1432	3.68%	16.48%	79.84%	-3.24	-6.9	13
2014-07-18	Flora	L 0-2	28.2	785	1410	1.90%	14.83%	83.27%	-4.05	-2.4	12
2014-07-18	@ Tallinna Kalev	W 2-0	28.2	1410	785	83.27%	14.83%	1.90%	+4.05	+2.4	49
2014-07-18	Levadia	L 1-5	29.2	787	1512	1.11%	13.45%	85.44%	-4.71	-2.1	4
2014-07-18	@ Johvi Lokomotiv	W 5-1	29.2	1512	787	85.44%	13.45%	1.11%	+4.71	+2.1	47
2014-07-18	Infonet	L 0-3	30.8	942	1227	11.17%	18.78%	70.05%	-1.84	-21.0	15
2014-07-18	@ Narva Trans	W 3-0	30.8	1227	942	70.05%	18.78%	11.17%	+1.84	+21.0	36
2014-07-19	Paide Linnameeskond	L 0-4	39.9	926	900	43.72%	20.03%	36.25%	+0.17	-90.6	13
2014-07-19	@ Tammeka	W 4-0	39.9	900	926	36.25%	20.03%	43.72%	-0.17	+90.6	22
2014-07-21	Nomme Kalju	L 2-3	48.3	1309	1439	23.51%	19.77%	56.72%	-0.84	-13.5	34
2014-07-21	@ Sillamae Kalev	W 3-2	48.3	1439	1309	56.72%	19.77%	23.51%	+0.84	+13.5	46
2014-07-25	Johvi Lokomotiv	D 3-3	61.3	836	785	47.06%	20.00%	32.94%	+0.33	-1.1	14
2014-07-25	@ Tammeka	D 3-3	61.3	785	836	32.94%	20.00%	47.06%	-0.33	+1.1	5
2014-07-25	Infonet	L 2-3	61.9	1514	1248	68.87%	18.93%	12.20%	+1.73	-34.7	47
2014-07-25	@ Levadia	W 3-2	61.9	1248	1514	12.20%	18.93%	68.87%	-1.73	+34.7	39
2014-07-26	Narva Trans	W 6-0	26.0	1412	921	79.58%	16.58%	3.84%	+3.19	+13.8	52
2014-07-26	@ Flora	L 0-6	26.0	921	1412	3.84%	16.58%	79.58%	-3.19	-13.8	15
2014-07-28	Sillamae Kalev	L 2-3	41.4	990	1296	10.04%	18.60%	71.36%	-1.98	-6.2	22
2014-07-28	@ Paide Linnameeskond	W 3-2	41.4	1296	990	71.36%	18.60%	10.04%	+1.98	+6.2	37
2014-07-28	Tallinna Kalev	W 5-0	24.9	1453	783	84.29%	14.21%	1.49%	+4.35	+4.3	49
2014-07-28	@ Nomme Kalju	L 0-5	24.9	783	1453	1.49%	14.21%	84.29%	-4.35	-4.3	12
2014-08-01	Johvi Lokomotiv	W 10-1	26.8	1282	786	79.75%	16.52%	3.73%	+3.22	+16.2	42
2014-08-01	@ Infonet	L 1-10	26.8	786	1282	3.73%	16.52%	79.75%	-3.22	-16.2	5
2014-08-01	Tammeka	W 1-0	31.0	1302	835	78.79%	16.87%	4.34%	+3.03	+3.0	40
2014-08-01	@ Sillamae Kalev	L 0-1	31.0	835	1302	4.34%	16.87%	78.79%	-3.03	-3.0	14
2014-08-02	Nomme Kalju	D 0-0	51.4	907	1457	2.82%	15.84%	81.34%	-3.57	+12.5	16
2014-08-02	@ Narva Trans	D 0-0	51.4	1457	907	81.34%	15.84%	2.82%	+3.57	-12.5	50
2014-08-02	Paide Linnameeskond	L 0-3	32.5	779	984	16.48%	19.37%	64.15%	-1.33	-30.2	12
2014-08-02	@ Tallinna Kalev	W 3-0	32.5	984	779	64.15%	19.37%	16.48%	+1.33	+30.2	25
2014-08-04	Flora	D 1-1	59.8	1480	1426	47.41%	19.99%	32.60%	+0.35	-1.8	48
2014-08-04	@ Levadia	D 1-1	59.8	1426	1480	32.60%	19.99%	47.41%	-0.35	+1.9	53
2014-08-08	Sillamae Kalev	L 1-2	34.2	770	1305	3.04%	16.02%	80.94%	-3.47	-1.9	5
2014-08-08	@ Johvi Lokomotiv	W 2-1	34.2	1305	770	80.94%	16.02%	3.04%	+3.47	+2.0	43
2014-08-08	Infonet	D 2-2	59.8	1428	1298	56.70%	19.77%	23.54%	+0.84	-3.2	54
2014-08-08	@ Flora	D 2-2	59.8	1298	1428	23.54%	19.77%	56.70%	-0.84	+3.2	43
2014-08-08	Tallinna Kalev	W 2-0	37.7	832	748	51.24%	19.93%	28.84%	+0.54	+34.0	17
2014-08-08	@ Tammeka	L 0-2	37.7	748	832	28.84%	19.93%	51.24%	-0.54	-34.0	12
2014-08-09	Levadia	L 0-1	48.3	1445	1478	35.31%	20.02%	44.67%	-0.22	-21.3	50
2014-08-09	@ Nomme Kalju	W 1-0	48.3	1478	1445	44.67%	20.02%	35.31%	+0.22	+21.3	51
2014-08-09	Narva Trans	D 1-1	53.2	1014	920	52.63%	19.89%	27.48%	+0.61	-3.2	26
2014-08-09	@ Paide Linnameeskond	D 1-1	53.2	920	1014	27.48%	19.89%	52.63%	-0.61	+3.2	17
2014-08-15	Tallinna Kalev	W 1-0	40.3	768	714	47.39%	19.99%	32.62%	+0.35	+19.9	8
2014-08-15	@ Johvi Lokomotiv	L 0-1	40.3	714	768	32.62%	19.99%	47.39%	-0.35	-20.0	12
2014-08-15	Tammeka	W 1-0	29.7	1499	865	83.48%	14.71%	1.81%	+4.11	+1.2	54
2014-08-15	@ Levadia	L 0-1	29.7	865	1499	1.81%	14.71%	83.48%	-4.11	-1.2	17
2014-08-16	Flora	W 1-0	47.5	1423	1425	39.76%	20.04%	40.20%	-0.01	+23.6	53
2014-08-16	@ Nomme Kalju	L 0-1	47.5	1425	1423	40.20%	20.04%	39.76%	+0.01	-23.7	54
2014-08-16	Narva Trans	W 7-1	29.8	1307	923	75.46%	17.82%	6.72%	+2.49	+20.1	46
2014-08-16	@ Sillamae Kalev	L 1-7	29.8	923	1307	6.72%	17.82%	75.46%	-2.49	-20.1	17
2014-08-16	Paide Linnameeskond	D 0-0	50.4	1302	1011	70.44%	18.73%	10.83%	+1.88	-9.3	44
2014-08-16	@ Infonet	D 0-0	50.4	1011	1302	10.83%	18.73%	70.44%	-1.88	+9.3	27
2014-08-18	Levadia	L 0-7	23.6	694	1500	0.72%	12.33%	86.95%	-5.23	-2.7	12
2014-08-18	@ Tallinna Kalev	W 7-0	23.6	1500	694	86.95%	12.33%	0.72%	+5.23	+2.7	57
2014-08-19	Flora	D 1-1	54.5	864	1401	3.02%	16.00%	80.98%	-3.48	+11.1	18
2014-08-19	@ Tammeka	D 1-1	54.5	1401	864	80.98%	16.00%	3.02%	+3.48	-11.1	55
2014-08-19	Johvi Lokomotiv	D 2-2	57.5	903	788	55.09%	19.82%	25.09%	+0.75	-2.9	18
2014-08-19	@ Narva Trans	D 2-2	57.5	788	903	25.09%	19.82%	55.09%	-0.75	+2.9	9
2014-08-19	Nomme Kalju	D 1-1	54.3	1021	1447	5.38%	17.35%	77.26%	-2.77	+10.2	28
2014-08-19	@ Paide Linnameeskond	D 1-1	54.3	1447	1021	77.26%	17.35%	5.38%	+2.77	-10.2	54
2014-08-19	Infonet	W 3-0	39.4	1327	1292	44.88%	20.02%	35.11%	+0.23	+58.0	49
2014-08-19	@ Sillamae Kalev	L 0-3	39.4	1292	1327	35.11%	20.02%	44.88%	-0.23	-58.0	44
2014-08-22	Johvi Lokomotiv	W 5-1	29.6	1437	791	83.76%	14.54%	1.70%	+4.19	+3.3	57
2014-08-22	@ Nomme Kalju	L 1-5	29.6	791	1437	1.70%	14.54%	83.76%	-4.19	-3.3	9
2014-08-22	Tammeka	W 3-2	40.4	1234	875	74.28%	18.08%	7.64%	+2.33	+4.7	47
2014-08-22	@ Infonet	L 2-3	40.4	875	1234	7.64%	18.08%	74.28%	-2.33	-4.7	18
2014-08-23	Paide Linnameeskond	W 3-0	29.7	1390	1031	74.30%	18.08%	7.62%	+2.33	+14.5	58
2014-08-23	@ Flora	L 0-3	29.7	1031	1390	7.62%	18.08%	74.30%	-2.33	-14.5	28
2014-08-23	Sillamae Kalev	L 0-3	50.4	1503	1385	55.38%	19.81%	24.81%	+0.77	-85.5	57
2014-08-23	@ Levadia	W 3-0	50.4	1385	1503	24.81%	19.81%	55.38%	-0.77	+85.5	52
2014-08-23	Tallinna Kalev	W 4-1	36.7	900	692	64.39%	19.35%	16.27%	+1.35	+25.2	21
2014-08-23	@ Narva Trans	L 1-4	36.7	692	900	16.27%	19.35%	64.39%	-1.35	-25.2	12
2014-08-29	Infonet	D 1-1	55.0	1440	1239	63.74%	19.40%	16.86%	+1.30	-6.3	58
2014-08-29	@ Nomme Kalju	D 1-1	55.0	1239	1440	16.86%	19.40%	63.74%	-1.30	+6.3	48
2014-08-30	Flora	L 2-5	34.5	787	1404	1.98%	14.93%	83.09%	-4.01	-2.6	9
2014-08-30	@ Johvi Lokomotiv	W 5-2	34.5	1404	787	83.09%	14.93%	1.98%	+4.01	+2.6	61
2014-08-30	Narva Trans	W 2-1	48.7	871	925	32.45%	19.99%	47.56%	-0.35	+25.7	21
2014-08-30	@ Tammeka	L 1-2	48.7	925	871	47.56%	19.99%	32.45%	+0.35	-25.6	21
2014-08-30	Paide Linnameeskond	W 4-1	33.5	1417	1016	76.23%	17.64%	6.14%	+2.60	+9.8	60
2014-08-30	@ Levadia	L 1-4	33.5	1016	1417	6.14%	17.64%	76.23%	-2.60	-9.8	28
2014-08-30	Tallinna Kalev	W 8-0	23.6	1471	667	86.92%	12.35%	0.73%	+5.22	+3.1	55
2014-08-30	@ Sillamae Kalev	L 0-8	23.6	667	1471	0.73%	12.35%	86.92%	-5.22	-3.1	12
2014-09-12	Levadia	L 0-3	28.9	1006	1427	5.54%	17.42%	77.04%	-2.73	-10.5	28
2014-09-12	@ Paide Linnameeskond	W 3-0	28.9	1427	1006	77.04%	17.42%	5.54%	+2.73	+10.5	63
2014-09-13	Johvi Lokomotiv	W 6-2	32.4	1407	785	83.22%	14.86%	1.92%	+4.04	+3.2	64
2014-09-13	@ Flora	L 2-6	32.4	785	1407	1.92%	14.86%	83.22%	-4.04	-3.2	9
2014-09-13	Nomme Kalju	L 1-3	40.2	1245	1434	17.92%	19.47%	62.61%	-1.22	-19.4	48
2014-09-13	@ Infonet	W 3-1	40.2	1434	1245	62.61%	19.47%	17.92%	+1.22	+19.4	61
2014-09-13	Sillamae Kalev	L 1-8	25.5	663	1474	0.71%	12.27%	87.03%	-5.26	-2.2	12
2014-09-13	@ Tallinna Kalev	W 8-1	25.5	1474	663	87.03%	12.27%	0.71%	+5.26	+2.2	58
2014-09-13	Tammeka	W 2-1	46.3	900	896	40.46%	20.04%	39.50%	+0.02	+22.0	24
2014-09-13	@ Narva Trans	L 1-2	46.3	896	900	39.50%	20.04%	40.46%	-0.02	-22.0	21
2014-09-16	Flora	L 1-2	35.6	996	1410	5.73%	17.49%	76.78%	-2.69	-3.7	28
2014-09-16	@ Paide Linnameeskond	W 2-1	35.6	1410	996	76.78%	17.49%	5.73%	+2.69	+3.7	67
2014-09-16	Johvi Lokomotiv	W 9-0	24.5	1453	781	84.33%	14.19%	1.48%	+4.36	+7.4	64
2014-09-16	@ Nomme Kalju	L 0-9	24.5	781	1453	1.48%	14.19%	84.33%	-4.36	-7.4	9
2014-09-16	Levadia	L 0-1	51.0	1476	1438	45.35%	20.01%	34.64%	+0.25	-26.1	58
2014-09-16	@ Sillamae Kalev	W 1-0	51.0	1438	1476	34.64%	20.01%	45.35%	-0.25	+26.1	66
2014-09-16	Narva Trans	L 0-3	31.2	661	922	12.59%	18.98%	68.43%	-1.69	-23.5	12
2014-09-16	@ Tallinna Kalev	W 3-0	31.2	922	661	68.43%	18.98%	12.59%	+1.69	+23.5	27
2014-09-16	Infonet	D 1-1	53.8	874	1226	7.93%	18.16%	73.91%	-2.28	+9.3	22
2014-09-16	@ Tammeka	D 1-1	53.8	1226	874	73.91%	18.16%	7.93%	+2.28	-9.3	49
2014-09-19	Sillamae Kalev	L 0-2	34.7	1217	1450	14.41%	19.18%	66.41%	-1.51	-18.4	49
2014-09-19	@ Infonet	W 2-0	34.7	1450	1217	66.41%	19.18%	14.41%	+1.51	+18.4	61
2014-09-19	Tallinna Kalev	W 5-0	23.9	1464	638	87.30%	12.05%	0.65%	+5.36	+1.8	69
2014-09-19	@ Levadia	L 0-5	23.9	638	1464	0.65%	12.05%	87.30%	-5.36	-1.8	12
2014-09-20	Flora	L 2-4	37.1	884	1414	3.12%	16.08%	80.79%	-3.44	-3.1	22
2014-09-20	@ Tammeka	W 4-2	37.1	1414	884	80.79%	16.08%	3.12%	+3.44	+3.1	70
2014-09-20	Narva Trans	W 3-2	56.9	774	945	19.43%	19.57%	61.00%	-1.11	+30.7	12
2014-09-20	@ Johvi Lokomotiv	L 2-3	56.9	945	774	61.00%	19.57%	19.43%	+1.11	-30.7	27
2014-09-20	Paide Linnameeskond	W 3-1	34.0	1460	992	78.81%	16.86%	4.33%	+3.04	+4.9	67
2014-09-20	@ Nomme Kalju	L 1-3	34.0	992	1460	4.33%	16.86%	78.81%	-3.04	-4.9	28
2014-09-26	Levadia	L 0-1	30.0	881	1466	2.34%	15.37%	82.29%	-3.80	-1.6	22
2014-09-26	@ Tammeka	W 1-0	30.0	1466	881	82.29%	15.37%	2.34%	+3.80	+1.6	72
2014-09-27	Johvi Lokomotiv	L 0-5	31.9	636	805	19.66%	19.58%	60.76%	-1.09	-57.0	12
2014-09-27	@ Tallinna Kalev	W 5-0	31.9	805	636	60.76%	19.58%	19.66%	+1.09	+57.0	15
2014-09-27	Nomme Kalju	L 0-2	44.9	1417	1465	33.30%	20.00%	46.70%	-0.31	-38.3	70
2014-09-27	@ Flora	W 2-0	44.9	1465	1417	46.70%	20.00%	33.30%	+0.31	+38.3	70
2014-09-27	Sillamae Kalev	L 0-1	30.3	914	1468	2.76%	15.78%	81.46%	-3.59	-1.9	27
2014-09-27	@ Narva Trans	W 1-0	30.3	1468	914	81.46%	15.78%	2.76%	+3.59	+1.9	64
2014-09-27	Infonet	L 0-1	35.2	987	1198	16.08%	19.33%	64.59%	-1.37	-10.8	28
2014-09-27	@ Paide Linnameeskond	W 1-0	35.2	1198	987	64.59%	19.33%	16.08%	+1.37	+10.8	52
2014-10-03	Flora	L 1-3	39.9	1209	1379	19.55%	19.58%	60.87%	-1.10	-21.0	52
2014-10-03	@ Infonet	W 3-1	39.9	1379	1209	60.87%	19.58%	19.55%	+1.10	+21.0	73
2014-10-03	Tallinna Kalev	W 2-1	37.1	879	579	71.04%	18.64%	10.31%	+1.95	+6.7	25
2014-10-03	@ Tammeka	L 1-2	37.1	579	879	10.31%	18.64%	71.04%	-1.95	-6.7	12
2014-10-04	Johvi Lokomotiv	W 2-0	28.4	1470	862	82.88%	15.05%	2.07%	+3.95	+2.6	67
2014-10-04	@ Sillamae Kalev	L 0-2	28.4	862	1470	2.07%	15.05%	82.88%	-3.95	-2.6	15
2014-10-04	Nomme Kalju	W 3-2	61.1	1467	1504	34.88%	20.02%	45.10%	-0.24	+23.2	75
2014-10-04	@ Levadia	L 2-3	61.1	1504	1467	45.10%	20.02%	34.88%	+0.24	-23.2	70
2014-10-04	Paide Linnameeskond	D 0-0	50.0	913	977	31.25%	19.97%	48.78%	-0.41	+2.5	28
2014-10-04	@ Narva Trans	D 0-0	50.0	977	913	48.78%	19.97%	31.25%	+0.41	-2.5	29
2014-10-17	Sillamae Kalev	L 1-4	31.5	886	1473	2.32%	15.34%	82.34%	-3.81	-3.6	25
2014-10-17	@ Tammeka	W 4-1	31.5	1473	886	82.34%	15.34%	2.32%	+3.81	+3.6	70
2014-10-18	Levadia	L 1-2	48.9	1400	1490	27.95%	19.90%	52.15%	-0.59	-16.5	73
2014-10-18	@ Flora	W 2-1	48.9	1490	1400	52.15%	19.90%	27.95%	+0.59	+16.5	78
2014-10-18	Narva Trans	W 1-0	30.2	1480	915	81.77%	15.63%	2.60%	+3.67	+1.8	73
2014-10-18	@ Nomme Kalju	L 0-1	30.2	915	1480	2.60%	15.63%	81.77%	-3.67	-1.8	28
2014-10-18	Infonet	L 0-3	30.0	859	1188	8.90%	18.38%	72.72%	-2.13	-16.9	15
2014-10-18	@ Johvi Lokomotiv	W 3-0	30.0	1188	859	72.72%	18.38%	8.90%	+2.13	+16.9	55
2014-10-18	Tallinna Kalev	W 4-1	33.2	974	572	76.26%	17.63%	6.11%	+2.61	+9.8	32
2014-10-18	@ Paide Linnameeskond	L 1-4	33.2	572	974	6.11%	17.63%	76.26%	-2.61	-9.8	12
2014-10-24	Levadia	W 2-0	52.1	1205	1507	10.20%	18.63%	71.17%	-1.96	+75.5	58
2014-10-24	@ Infonet	L 0-2	52.1	1507	1205	71.17%	18.63%	10.20%	+1.96	-75.5	78
2014-10-25	Flora	L 2-5	35.8	913	1383	4.29%	16.84%	78.87%	-3.05	-5.9	28
2014-10-25	@ Narva Trans	W 5-2	35.8	1383	913	78.87%	16.84%	4.29%	+3.05	+5.9	76
2014-10-25	Nomme Kalju	L 0-7	23.0	562	1482	0.39%	10.79%	88.82%	-5.97	-1.4	12
2014-10-25	@ Tallinna Kalev	W 7-0	23.0	1482	562	88.82%	10.79%	0.39%	+5.97	+1.4	76
2014-10-25	Paide Linnameeskond	W 4-0	27.2	1476	984	79.62%	16.56%	3.81%	+3.20	+9.3	73
2014-10-25	@ Sillamae Kalev	L 0-4	27.2	984	1476	3.81%	16.56%	79.62%	-3.20	-9.4	32
2014-10-25	Tammeka	W 2-0	42.8	842	882	34.40%	20.01%	45.58%	-0.26	+49.5	18
2014-10-25	@ Johvi Lokomotiv	L 0-2	42.8	882	842	45.58%	20.01%	34.40%	+0.26	-49.5	25
2014-11-01	Narva Trans	W 5-2	36.9	1280	907	74.96%	17.94%	7.10%	+2.42	+9.9	61
2014-11-01	@ Infonet	L 2-5	36.9	907	1280	7.10%	17.94%	74.96%	-2.42	-9.9	28
2014-11-01	Sillamae Kalev	L 0-2	49.9	1484	1486	39.69%	20.04%	40.28%	-0.01	-44.1	76
2014-11-01	@ Nomme Kalju	W 2-0	49.9	1486	1484	40.28%	20.04%	39.69%	+0.01	+44.1	76
2014-11-01	Tallinna Kalev	W 2-0	26.9	1389	561	87.34%	12.02%	0.64%	+5.37	+0.7	79
2014-11-01	@ Flora	L 0-2	26.9	561	1389	0.64%	12.02%	87.34%	-5.37	-0.8	12
2014-11-01	Tammeka	L 0-1	47.9	975	833	58.02%	19.71%	22.26%	+0.92	-32.6	32
2014-11-01	@ Paide Linnameeskond	W 1-0	47.9	833	975	22.26%	19.71%	58.02%	-0.92	+32.6	28
2014-11-02	Johvi Lokomotiv	W 9-0	25.5	1432	892	81.07%	15.96%	2.97%	+3.50	+15.5	81
2014-11-02	@ Levadia	L 0-9	25.5	892	1432	2.97%	15.96%	81.07%	-3.50	-15.5	18
2014-11-08	Flora	W 3-2	52.4	1530	1390	57.79%	19.72%	22.49%	+0.91	+13.0	79
2014-11-08	@ Sillamae Kalev	L 2-3	52.4	1390	1530	22.49%	19.72%	57.79%	-0.91	-13.0	79
2014-11-08	Johvi Lokomotiv	W 1-0	39.9	942	876	49.02%	19.97%	31.01%	+0.43	+19.1	35
2014-11-08	@ Paide Linnameeskond	L 0-1	39.9	876	942	31.01%	19.97%	49.02%	-0.43	-19.1	18
2014-11-08	Levadia	L 1-8	27.4	898	1447	2.83%	15.84%	81.34%	-3.57	-9.5	28
2014-11-08	@ Narva Trans	W 8-1	27.4	1447	898	81.34%	15.84%	2.83%	+3.57	+9.5	84
2014-11-08	Nomme Kalju	L 0-1	30.1	865	1439	2.48%	15.51%	82.01%	-3.73	-1.7	28
2014-11-08	@ Tammeka	W 1-0	30.1	1439	865	82.01%	15.51%	2.48%	+3.73	+1.7	79
2014-11-08	Infonet	L 0-4	25.1	560	1290	1.09%	13.38%	85.53%	-4.74	-2.5	12
2014-11-08	@ Tallinna Kalev	W 4-0	25.1	1290	560	85.53%	13.38%	1.09%	+4.74	+2.5	64

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	2014-03-01	9.92%	Paide Linnameeskond	998	1	@ Levadia	1306	0
2	2014-10-24	10.20%	@ Infonet	1205	2	Levadia	1507	0
3	2014-06-21	10.38%	@ Tallinna Kalev	747	3	Narva Trans	1046	1
4	2014-07-25	12.20%	Infonet	1248	3	@ Levadia	1514	2
5	2014-03-28	13.99%	Infonet	1064	3	@ Flora	1303	2
6	2014-09-20	19.43%	@ Johvi Lokomotiv	774	3	Narva Trans	945	2
7	2014-05-10	21.37%	Tammeka	897	4	@ Paide Linnameeskond	1047	0
8	2014-11-01	22.26%	Tammeka	833	1	@ Paide Linnameeskond	975	0
9	2014-06-10	24.65%	@ Flora	1344	1	Nomme Kalju	1463	0
10	2014-08-23	24.81%	Sillamae Kalev	1385	3	@ Levadia	1503	0
11	2014-03-22	25.25%	Tallinna Kalev	868	1	@ Johvi Lokomotiv	982	0
12	2014-06-09	25.63%	@ Tallinna Kalev	724	2	Johvi Lokomotiv	835	1
13	2014-05-23	29.72%	@ Levadia	1416	1	Nomme Kalju	1492	0
14	2014-07-07	29.89%	Tammeka	906	2	@ Narva Trans	981	1
15	2014-08-30	32.45%	@ Tammeka	871	2	Narva Trans	925	1
16	2014-10-25	34.40%	@ Johvi Lokomotiv	842	2	Tammeka	882	0
17	2014-09-16	34.64%	Levadia	1438	1	@ Sillamae Kalev	1476	0
18	2014-10-04	34.88%	@ Levadia	1467	3	Nomme Kalju	1504	2
19	2014-07-19	36.25%	Paide Linnameeskond	900	4	@ Tammeka	926	0
20	2014-03-29	36.40%	Tammeka	874	6	@ Tallinna Kalev	899	1
21	2014-03-15	36.99%	@ Narva Trans	1071	5	Johvi Lokomotiv	1092	0
22	2014-05-03	37.53%	Flora	1293	2	@ Sillamae Kalev	1310	1
23	2014-08-16	39.76%	@ Nomme Kalju	1423	1	Flora	1425	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	2014-05-10	118.65	Tammeka	4	897	21.37%	@ Paide Linnameeskond	0	1047	58.96%	19.67%
2	2014-03-15	110.08	@ Narva Trans	5	1071	36.99%	Johvi Lokomotiv	0	1092	42.98%	20.03%
3	2014-03-29	92.22	Tammeka	6	874	36.40%	@ Tallinna Kalev	1	899	43.57%	20.03%
4	2014-07-19	90.60	Paide Linnameeskond	4	900	36.25%	@ Tammeka	0	926	43.72%	20.03%
5	2014-08-23	85.54	Sillamae Kalev	3	1385	24.81%	@ Levadia	0	1503	55.38%	19.81%
6	2014-05-09	78.96	@ Infonet	4	1140	43.07%	Narva Trans	0	1118	36.90%	20.03%
7	2014-10-24	75.51	@ Infonet	2	1205	10.20%	Levadia	0	1507	71.17%	18.63%
8	2014-06-21	65.21	@ Tallinna Kalev	3	747	10.38%	Narva Trans	1	1046	70.97%	18.65%
9	2014-08-19	58.04	@ Sillamae Kalev	3	1327	44.88%	Infonet	0	1292	35.11%	20.02%
10	2014-04-19	57.83	Nomme Kalju	3	1405	45.03%	@ Sillamae Kalev	0	1369	34.95%	20.02%
11	2014-09-27	57.01	Johvi Lokomotiv	5	805	60.76%	@ Tallinna Kalev	0	636	19.66%	19.58%
12	2014-03-08	49.71	@ Flora	5	1239	63.72%	Paide Linnameeskond	0	1038	16.88%	19.40%
13	2014-05-12	49.69	Levadia	4	1370	59.01%	@ Infonet	0	1218	21.32%	19.67%
14	2014-04-26	49.66	@ Paide Linnameeskond	3	986	51.00%	Johvi Lokomotiv	0	905	29.07%	19.93%
15	2014-10-25	49.47	@ Johvi Lokomotiv	2	842	34.40%	Tammeka	0	882	45.58%	20.01%
16	2014-03-08	47.06	@ Infonet	3	1036	52.83%	Tammeka	0	940	27.28%	19.89%
17	2014-11-01	44.12	Sillamae Kalev	2	1486	40.28%	@ Nomme Kalju	0	1484	39.69%	20.04%
18	2014-04-05	44.01	Nomme Kalju	4	1359	61.89%	@ Narva Trans	0	1179	18.59%	19.52%
19	2014-05-20	42.33	Sillamae Kalev	6	1284	69.33%	@ Tammeka	0	1011	11.80%	18.87%
20	2014-03-01	40.24	Paide Linnameeskond	1	998	9.92%	@ Levadia	0	1306	71.51%	18.57%
21	2014-04-25	39.61	@ Infonet	6	1092	70.24%	Tallinna Kalev	0	804	11.01%	18.76%
22	2014-09-27	38.27	Nomme Kalju	2	1465	46.70%	@ Flora	0	1417	33.30%	20.00%
23	2014-06-21	37.13	Infonet	4	1163	65.31%	@ Tammeka	0	943	15.42%	19.28%
24	2014-03-15	35.68	Levadia	8	1267	74.49%	@ Tallinna Kalev	0	904	7.47%	18.04%
25	2014-07-25	34.65	Infonet	3	1248	12.20%	@ Levadia	2	1514	68.87%	18.93%

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	2014-06-14	62.0	@ Infonet	3	1159	17.38%	Sillamae Kalev	3	1354	63.18%	19.43%
2	2014-07-25	61.9	Infonet	3	1248	12.20%	@ Levadia	2	1514	68.87%	18.93%
3	2014-07-25	61.3	@ Tammeka	3	836	47.06%	Johvi Lokomotiv	3	785	32.94%	20.00%
4	2014-10-04	61.1	@ Levadia	3	1467	34.88%	Nomme Kalju	2	1504	45.10%	20.02%
5	2014-08-04	59.8	@ Levadia	1	1480	47.41%	Flora	1	1426	32.60%	19.99%
6	2014-08-08	59.8	@ Flora	2	1428	56.70%	Infonet	2	1298	23.54%	19.77%
7	2014-03-28	58.7	Infonet	3	1064	13.99%	@ Flora	2	1303	66.88%	19.14%
8	2014-03-08	58.3	@ Levadia	2	1266	32.99%	Sillamae Kalev	2	1316	47.02%	20.00%
9	2014-05-13	57.6	@ Johvi Lokomotiv	2	831	18.31%	Tammeka	2	1015	62.19%	19.50%
10	2014-08-19	57.5	@ Narva Trans	2	903	55.09%	Johvi Lokomotiv	2	788	25.09%	19.82%
11	2014-09-20	56.9	@ Johvi Lokomotiv	3	774	19.43%	Narva Trans	2	945	61.00%	19.57%
12	2014-08-29	55.0	@ Nomme Kalju	1	1440	63.74%	Infonet	1	1239	16.86%	19.40%
13	2014-03-22	54.7	@ Nomme Kalju	1	1363	48.58%	Flora	1	1301	31.45%	19.97%
14	2014-08-19	54.5	@ Tammeka	1	864	3.02%	Flora	1	1401	80.98%	16.00%
15	2014-08-19	54.3	@ Paide Linnameeskond	1	1021	5.38%	Nomme Kalju	1	1447	77.26%	17.35%
16	2014-06-21	54.2	@ Tallinna Kalev	3	747	10.38%	Narva Trans	1	1046	70.97%	18.65%
17	2014-04-26	54.1	@ Flora	1	1292	37.35%	Sillamae Kalev	1	1311	42.62%	20.03%
18	2014-04-05	54.0	@ Levadia	1	1312	45.94%	Flora	1	1269	34.05%	20.01%
19	2014-03-22	53.8	@ Sillamae Kalev	1	1331	58.85%	Narva Trans	1	1181	21.48%	19.68%
20	2014-09-16	53.8	@ Tammeka	1	874	7.93%	Infonet	1	1226	73.91%	18.16%
21	2014-05-20	53.7	@ Johvi Lokomotiv	1	836	8.72%	Infonet	1	1169	72.94%	18.34%
22	2014-05-24	53.5	@ Tallinna Kalev	1	717	13.15%	Tammeka	1	968	67.81%	19.04%
23	2014-03-08	53.3	@ Narva Trans	1	1077	61.72%	Tallinna Kalev	1	898	18.76%	19.53%
24	2014-04-04	53.3	@ Tallinna Kalev	1	807	20.18%	Paide Linnameeskond	1	970	60.21%	19.61%
25	2014-03-21	53.2	@ Infonet	1	1067	54.30%	Paide Linnameeskond	1	959	25.86%	19.85%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2014-10-25	23.0	Nomme Kalju	7	1482	88.82%	@ Tallinna Kalev	0	562	0.39%	10.79%
2	2014-08-18	23.6	Levadia	7	1500	86.95%	@ Tallinna Kalev	0	694	0.72%	12.33%
3	2014-08-30	23.6	@ Sillamae Kalev	8	1471	86.92%	Tallinna Kalev	0	667	0.73%	12.35%
4	2014-09-19	23.9	@ Levadia	5	1464	87.30%	Tallinna Kalev	0	638	0.65%	12.05%
5	2014-06-15	24.3	@ Levadia	9	1462	85.10%	Tallinna Kalev	0	753	1.22%	13.68%
6	2014-09-16	24.5	@ Nomme Kalju	9	1453	84.33%	Johvi Lokomotiv	0	781	1.48%	14.19%
7	2014-07-28	24.9	@ Nomme Kalju	5	1453	84.29%	Tallinna Kalev	0	783	1.49%	14.21%
8	2014-11-08	25.1	Infonet	4	1290	85.53%	@ Tallinna Kalev	0	560	1.09%	13.38%
9	2014-04-28	25.5	@ Nomme Kalju	6	1462	81.43%	Tammeka	0	910	2.78%	15.79%
10	2014-09-13	25.5	Sillamae Kalev	8	1474	87.03%	@ Tallinna Kalev	1	663	0.71%	12.27%
11	2014-11-02	25.5	@ Levadia	9	1432	81.07%	Johvi Lokomotiv	0	892	2.97%	15.96%
12	2014-07-12	25.6	@ Levadia	7	1500	81.25%	Narva Trans	0	954	2.87%	15.88%
13	2014-05-09	25.7	@ Levadia	6	1358	80.30%	Johvi Lokomotiv	0	844	3.40%	16.29%
14	2014-07-26	26.0	@ Flora	6	1412	79.58%	Narva Trans	0	921	3.84%	16.58%
15	2014-05-13	26.1	Nomme Kalju	3	1487	85.66%	@ Tallinna Kalev	0	751	1.05%	13.29%
16	2014-06-10	26.1	Levadia	7	1445	79.24%	@ Tammeka	0	964	4.05%	16.71%
17	2014-08-01	26.8	@ Infonet	10	1282	79.75%	Johvi Lokomotiv	1	786	3.73%	16.52%
18	2014-11-01	26.9	@ Flora	2	1389	87.34%	Tallinna Kalev	0	561	0.64%	12.02%
19	2014-07-13	27.2	@ Infonet	5	1208	76.37%	Tallinna Kalev	0	804	6.03%	17.60%
20	2014-10-25	27.2	@ Sillamae Kalev	4	1476	79.62%	Paide Linnameeskond	0	984	3.81%	16.56%
21	2014-03-15	27.4	Levadia	8	1267	74.49%	@ Tallinna Kalev	0	904	7.47%	18.04%
22	2014-11-08	27.4	Levadia	8	1447	81.34%	@ Narva Trans	1	898	2.83%	15.84%
23	2014-03-01	27.5	Sillamae Kalev	6	1289	74.54%	@ Tallinna Kalev	0	925	7.43%	18.03%
24	2014-04-19	27.7	Levadia	4	1343	77.21%	@ Johvi Lokomotiv	0	918	5.42%	17.37%
25	2014-03-15	27.8	Nomme Kalju	6	1333	73.56%	@ Paide Linnameeskond	0	989	8.21%	18.23%