2018 Meistriliiga Season

180 games

Final

Champion

Nomme Kalju

86 points · 2nd Title

Last Title: 2012

Relegated

No relegation

Biggest Overachiever

Nomme Kalju

4.22 points above expected

86 points · 81.78 expected points

Biggest Disappointment

Parnu Vaprus

12.73 points below expected

13 points · 25.73 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	Nomme Kalju Champion	36	25	11	0	86	114	32	+82	81.78	+4.22
2	Levadia	36	26	6	4	84	109	26	+83	84.84	-0.84
3	Flora	36	25	8	3	83	116	32	+84	81.80	+1.20
4	Narva Trans	36	18	7	11	61	76	57	+19	60.68	+0.32
5	Paide Linnameeskond	36	14	9	13	51	64	74	-10	49.44	+1.56
6	Tammeka	36	14	7	15	49	56	58	-2	49.44	-0.44
7	Tulevik Viljandi	36	8	5	23	29	37	100	-63	32.23	-3.23
8	Tallinna Kalev	36	7	7	22	28	54	68	-14	24.66	+3.34
9	Kuressaare	36	6	3	27	21	34	115	-81	19.40	+1.60
10	Parnu Vaprus	36	2	7	27	13	25	123	-98	25.73	-12.73

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	Nomme Kalju	86	81.78	+4.22
2	Tallinna Kalev	28	24.66	+3.34
3	Kuressaare	21	19.40	+1.60
4	Paide Linnameeskond	51	49.44	+1.56
5	Flora	83	81.80	+1.20

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Parnu Vaprus	13	25.73	-12.73
2	Tulevik Viljandi	29	32.23	-3.23
3	Levadia	84	84.84	-0.84
4	Tammeka	49	49.44	-0.44
5	Narva Trans	61	60.68	+0.32

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	Tammeka	4	Jul 28 – Aug 17	1 in 121
2	Kuressaare	2	Apr 28 – May 1	1 in 38
3	Paide Linnameeskond	4	Aug 25 – Sep 15	1 in 8
4	Narva Trans	5	Sep 18 – Oct 6	1 in 7
5	Nomme Kalju	5	May 26 – Jul 28	1 in 7

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Kuressaare	13	Jul 21 – Oct 2	1 in 50
2	Narva Trans	4	Jul 22 – Aug 11	1 in 43
3	Levadia	2	Jul 28 – Aug 5	1 in 36
4	Parnu Vaprus	10	Sep 19 – Nov 10	1 in 33
5	Tammeka	4	Sep 1 – Sep 22	1 in 29

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Nomme Kalju	36	Mar 4 – Nov 10	1 in 441
2	Flora	27	Apr 21 – Nov 3	1 in 52
3	Tallinna Kalev	4	Jul 21 – Aug 12	1 in 30
4	Paide Linnameeskond	6	Oct 2 – Nov 10	1 in 13
5	Narva Trans	10	Aug 17 – Oct 6	1 in 12

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Tammeka	10	Apr 28 – Jul 22	1 in 417
2	Parnu Vaprus	14	Mar 4 – May 20	1 in 59
3	Nomme Kalju	4	Oct 3 – Oct 26	1 in 56
4	Tulevik Viljandi	14	May 5 – Aug 28	1 in 38
5	Narva Trans	5	Apr 7 – May 1	1 in 11

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
Nomme Kalju	1588	86	+0	9	11.4	-2.4
Levadia	1578	84	+23	15	11.3	+3.7
Flora	1595	83	-2	12	11.9	+0.1
Narva Trans	1279	61	-51	3	6.5	-3.5
Paide Linnameeskond	1229	51	+17	9	8.4	+0.6
Tammeka	1203	49	+8	8	6.8	+1.2
Tulevik Viljandi	1043	29	+10	3	3.9	-0.9
Tallinna Kalev	996	28	+27	5	5.1	-0.1
Kuressaare	847	21	+16	7	3.6	+3.4
Parnu Vaprus	840	13	-46	0	3.0	-3.0

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	KUR	LEV	NT	NK	PL	PV	TK	TAM	TV
Flora	—	4-0-0 11.04	1-1-2 5.31	2-2-0 8.85	0-3-1 5.76	3-1-0 9.51	4-0-0 10.81	3-1-0 10.84	4-0-0 9.67	4-0-0 10.39
Kuressaare	0-0-4 0.59	—	0-1-3 0.58	0-0-4 1.46	0-0-4 0.56	0-0-4 1.89	1-1-2 4.66	1-1-2 5.08	1-0-3 1.74	3-0-1 3.27
Levadia	2-1-1 5.87	3-1-0 11.04	—	3-1-0 9.15	0-2-2 5.89	3-1-0 9.67	4-0-0 10.87	4-0-0 10.84	3-0-1 9.63	4-0-0 10.52
Narva Trans	0-2-2 2.42	4-0-0 9.93	0-1-3 2.14	—	0-1-3 2.44	3-0-1 7.13	3-1-0 10.01	3-1-0 9.70	2-1-1 6.93	3-0-1 8.91
Nomme Kalju	1-3-0 5.42	4-0-0 11.08	2-2-0 5.29	3-1-0 8.83	—	3-1-0 9.68	4-0-0 10.78	2-2-0 10.84	2-2-0 9.63	4-0-0 10.65
Paide Linnameeskond	0-1-3 1.82	4-0-0 9.43	0-1-3 1.68	1-0-3 4.06	0-1-3 1.67	—	2-2-0 8.88	3-1-0 8.79	1-2-1 5.40	3-1-0 8.14
Parnu Vaprus	0-0-4 0.76	2-1-1 6.53	0-0-4 0.71	0-1-3 1.38	0-0-4 0.78	0-2-2 2.40	—	0-0-4 5.80	0-1-3 2.50	0-2-2 4.47
Tallinna Kalev	0-1-3 0.73	2-1-1 6.10	0-0-4 0.73	0-1-3 1.65	0-2-2 0.73	0-1-3 2.47	4-0-0 5.39	—	1-0-3 2.33	0-1-3 4.27
Tammeka	0-0-4 1.67	3-0-1 9.60	1-0-3 1.71	1-1-2 4.26	0-2-2 1.72	1-2-1 5.78	3-1-0 8.76	3-0-1 8.94	—	2-1-1 8.32
Tulevik Viljandi	0-0-4 1.08	1-0-3 7.95	0-0-4 0.97	1-0-3 2.37	0-0-4 0.88	0-1-3 3.09	2-2-0 6.71	3-1-0 6.94	1-1-2 2.92	—

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	0.96	+7.9
Allowed	0.89	-7.4
Differential	0.95	+3.9

Scoreline Distribution

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

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.22%	4.17%	2.22%	4.44%	5.00%	5.83%	23.89%
1	4.17%	8.33%	6.39%	3.61%	2.78%	1.11%	26.39%
2	2.22%	6.39%	6.67%	1.39%	1.39%	1.67%	19.72%
3	4.44%	3.61%	1.39%	2.22%	—	0.28%	11.94%
4	5.00%	2.78%	1.39%	—	—	—	9.17%
5+	5.83%	1.11%	1.67%	0.28%	—	—	8.89%
Total	23.89%	26.39%	19.72%	11.94%	9.17%	8.89%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.90	1.90	+0.00
SD	1.76	1.76	2.98
CV	0.93	0.93	—
Max	8	8	+7
Min	0	0	-7

Games Played: 180

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	—	2.78%	—	—	—	5.56%
1	5.56%	2.78%	5.56%	—	—	—	13.89%
2	2.78%	5.56%	11.11%	—	—	—	19.44%
3	8.33%	11.11%	—	5.56%	—	—	25.00%
4	11.11%	—	2.78%	—	—	—	13.89%
5+	16.67%	2.78%	2.78%	—	—	—	22.22%
Total	47.22%	22.22%	25.00%	5.56%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	3.22	0.89	+2.33
SD	2.00	0.98	2.45
CV	0.62	1.10	—
Max	8	3	+7
Min	0	0	-2

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	—	—	11.11%	16.67%	11.11%	38.89%
1	2.78%	5.56%	8.33%	13.89%	5.56%	2.78%	38.89%
2	—	8.33%	—	—	2.78%	—	11.11%
3	—	5.56%	—	2.78%	—	2.78%	11.11%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	2.78%	19.44%	8.33%	27.78%	25.00%	16.67%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.94	3.19	-2.25
SD	0.98	1.77	2.27
CV	1.04	0.55	—
Max	3	8	+2
Min	0	0	-7

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	5.56%	—	2.78%	—	—	11.11%
1	—	8.33%	2.78%	—	—	—	11.11%
2	—	11.11%	5.56%	—	—	—	16.67%
3	8.33%	5.56%	2.78%	—	—	—	16.67%
4	19.44%	5.56%	—	—	—	—	25.00%
5+	13.89%	5.56%	—	—	—	—	19.44%
Total	44.44%	41.67%	11.11%	2.78%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	3.03	0.72	+2.31
SD	1.83	0.78	2.33
CV	0.60	1.08	—
Max	7	3	+7
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	—	—	2.78%	—	2.78%	8.33%
1	8.33%	8.33%	11.11%	—	5.56%	2.78%	36.11%
2	5.56%	8.33%	8.33%	—	2.78%	2.78%	27.78%
3	5.56%	—	2.78%	—	—	—	8.33%
4	2.78%	5.56%	—	—	—	—	8.33%
5+	8.33%	—	2.78%	—	—	—	11.11%
Total	33.33%	22.22%	25.00%	2.78%	8.33%	8.33%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.11	1.58	+0.53
SD	1.60	1.66	2.71
CV	0.76	1.05	—
Max	6	6	+6
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	—	—	—	—	—	5.56%
1	8.33%	8.33%	—	—	—	—	16.67%
2	5.56%	2.78%	13.89%	—	—	—	22.22%
3	11.11%	—	2.78%	2.78%	—	—	16.67%
4	8.33%	5.56%	2.78%	—	—	—	16.67%
5+	11.11%	—	8.33%	2.78%	—	—	22.22%
Total	50.00%	16.67%	27.78%	5.56%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	3.17	0.89	+2.28
SD	2.08	1.01	2.12
CV	0.66	1.13	—
Max	8	3	+7
Min	0	0	+0

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	2.78%	5.56%	2.78%	2.78%	2.78%	19.44%
1	—	11.11%	—	2.78%	5.56%	—	19.44%
2	2.78%	13.89%	5.56%	2.78%	—	8.33%	33.33%
3	5.56%	5.56%	2.78%	5.56%	—	—	19.44%
4	2.78%	5.56%	—	—	—	—	8.33%
5+	—	—	—	—	—	—	—
Total	13.89%	38.89%	13.89%	13.89%	8.33%	11.11%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.78	2.06	-0.28
SD	1.22	1.77	2.41
CV	0.69	0.86	—
Max	4	7	+4
Min	0	0	-6

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	5.56%	—	8.33%	13.89%	25.00%	52.78%
1	—	16.67%	8.33%	—	—	5.56%	30.56%
2	—	—	2.78%	—	8.33%	—	11.11%
3	—	5.56%	—	—	—	—	5.56%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	—	27.78%	11.11%	8.33%	22.22%	30.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.69	3.42	-2.72
SD	0.89	2.02	2.51
CV	1.28	0.59	—
Max	3	8	+2
Min	0	1	-7

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	16.67%	8.33%	5.56%	2.78%	—	33.33%
1	—	2.78%	11.11%	5.56%	2.78%	—	22.22%
2	—	2.78%	13.89%	8.33%	—	—	25.00%
3	2.78%	—	—	2.78%	—	—	5.56%
4	2.78%	—	5.56%	—	—	—	8.33%
5+	5.56%	—	—	—	—	—	5.56%
Total	11.11%	22.22%	38.89%	22.22%	5.56%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.50	1.89	-0.39
SD	1.50	1.06	2.10
CV	1.00	0.56	—
Max	5	4	+5
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	5.56%	—	8.33%	2.78%	2.78%	22.22%
1	13.89%	11.11%	11.11%	5.56%	2.78%	—	44.44%
2	2.78%	5.56%	2.78%	2.78%	—	—	13.89%
3	—	2.78%	—	2.78%	—	—	5.56%
4	2.78%	—	2.78%	—	—	—	5.56%
5+	2.78%	2.78%	2.78%	—	—	—	8.33%
Total	25.00%	27.78%	19.44%	19.44%	5.56%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.56	1.61	-0.06
SD	1.56	1.36	2.30
CV	1.00	0.84	—
Max	6	5	+5
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	5.56%	5.56%	2.78%	11.11%	13.89%	41.67%
1	2.78%	8.33%	5.56%	8.33%	5.56%	—	30.56%
2	2.78%	5.56%	2.78%	—	—	5.56%	16.67%
3	2.78%	—	2.78%	—	—	—	5.56%
4	—	5.56%	—	—	—	—	5.56%
5+	—	—	—	—	—	—	—
Total	11.11%	25.00%	16.67%	11.11%	16.67%	19.44%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.03	2.78	-1.75
SD	1.16	2.13	2.76
CV	1.13	0.77	—
Max	4	8	+3
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
Flora	1595	83	81.80	+1.20	63.0%	67	73	78	82	85	91	99
Nomme Kalju	1588	86	81.78	+4.22	79.0%	66	72	78	82	85	94	98
Levadia	1578	84	84.84	-0.84	49.0%	71	74	80	85	89	96	100
Narva Trans	1279	61	60.68	+0.32	52.0%	45	51	56	61	65	70	72
Paide Linnameeskond	1229	51	49.44	+1.56	62.0%	39	40	45	50	53	59	63
Tammeka	1203	49	49.44	-0.44	51.0%	32	38	45	49	53	61	65
Tulevik Viljandi	1043	29	32.23	-3.23	35.0%	16	21	28	32	36	42	50
Tallinna Kalev	996	28	24.66	+3.34	76.0%	10	16	21	24	28	34	40
Kuressaare	847	21	19.40	+1.60	66.0%	7	11	15	19	23	29	34
Parnu Vaprus	840	13	25.73	-12.73	1.0%	12	15	22	25	29	35	49

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

+6.11%

Clear Edge

43.33%19.44%37.22%

Elo Value

Home Edge: 21.26 Elo pts.

171 Elo

0.006 goals per Elo point

0500

Scoring Tilt

Expected

+0.08 goals

Neutral

-2+0.12+2

Title Race

How these are measured

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

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

Title-Race Openness

2.7

Top-Heavy

123410

Champion Preseason Odds

26%

Nomme Kalju, 2nd of 10

LongshotFavorite

Title Margin

Expected

0.06/gm

Photo Finish

00.150.5/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 4.88 * Some Luck: 4.88 to 7.32 * Lucky: 7.32 to 9.76 * Wild Swing: 9.76 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 0.51 * Close: 0.51 to 0.76 * Off: 0.76 to 1.02 * Way Off: 1.02 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

4.54 points

As Expected

06.1015

Average Finish Error

Expected

0.90

Off

00.641.5

Biggest Overachiever

Expected 95.00%

79.00%

Nomme Kalju

50100

Biggest Underachiever

Expected 5.00%

1.00%

Parnu Vaprus

050

Season Outliers

Expected

1 of 10

Minimal Outliers

01.010

Parity

How these are measured

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

Gini Index: How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.27 * 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

0.29

Top-Heavy

00.270.5

Noll-Scully

Elo SD: 293.03

3.37

Wide Separation

12.733.33.75

Interquartile Edge

95%

Wide Edge

50%87.5%100%

Best vs. Worst

Baseline 100%

99%

Clear Edge

50%100%

Close Games

Expected

43%

Some Drama

0%37%100%

Blowouts

Expected

42%

Very Frequent

0%42%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

00.442

Matchup Imbalance

0.65

Lopsided

00.5

Strangeness

Expected

0.59

Very Predictable

01.002

Repeatability

0.92

Near-Lock

00.70.841

Upset Rate

Expected

10%

Chalky

0%14%50%

Clear Favorite Upset Rate

Expected

Solid Favorites

0%11%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

0.37

Well Calibrated

0.010.050.10.51

Calibration slope

Ideal

1.28

Underconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.074

Well Within Noise

00.0990.25

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
Nomme Kalju	26.00%	38.00%	35.00%	1.00%	—	—	—	—	—	—
Levadia	48.00%	26.00%	25.00%	1.00%	—	—	—	—	—	—
Flora	26.00%	36.00%	38.00%	—	—	—	—	—	—	—
Narva Trans	—	—	2.00%	82.00%	12.00%	4.00%	—	—	—	—
Paide Linnameeskond	—	—	—	6.00%	41.00%	48.00%	5.00%	—	—	—
Tammeka	—	—	—	10.00%	47.00%	40.00%	3.00%	—	—	—
Tulevik Viljandi	—	—	—	—	—	7.00%	54.00%	23.00%	12.00%	4.00%
Tallinna Kalev	—	—	—	—	—	—	16.00%	32.00%	41.00%	11.00%
Kuressaare	—	—	—	—	—	—	3.00%	11.00%	18.00%	68.00%
Parnu Vaprus	—	—	—	—	—	1.00%	19.00%	34.00%	29.00%	17.00%

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%	—	—
Levadia	100%	—	—
Narva Trans	100%	—	—
Nomme Kalju	100%	—	—
Paide Linnameeskond	100%	—	—
Tammeka	100%	—	—
Tulevik Viljandi	84.00%	12.00%	4.00%
Tallinna Kalev	48.00%	41.00%	11.00%
Parnu Vaprus	54.00%	29.00%	17.00%
Kuressaare	14.00%	18.00%	68.00%

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
2018-03-03	Narva Trans	L 0-5	27.5	945	1256	11.23%	17.53%	71.24%	-1.69	-14.2	0
2018-03-03	@ Kuressaare	W 5-0	27.5	1256	945	71.24%	17.53%	11.23%	+1.69	+14.2	3
2018-03-03	Paide Linnameeskond	D 1-1	56.6	1534	1231	73.69%	16.83%	9.49%	+1.89	-3.8	1
2018-03-03	@ Levadia	D 1-1	56.6	1231	1534	9.49%	16.83%	73.69%	-1.89	+3.8	1
2018-03-03	Tammeka	L 0-1	31.5	865	1210	9.50%	16.83%	73.67%	-1.89	-2.7	0
2018-03-03	@ Tallinna Kalev	W 1-0	31.5	1210	865	73.67%	16.83%	9.50%	+1.89	+2.7	3
2018-03-03	Tulevik Viljandi	W 1-0	31.1	1513	1120	78.98%	14.89%	6.13%	+2.42	+1.7	3
2018-03-03	@ Flora	L 0-1	31.1	1120	1513	6.13%	14.89%	78.98%	-2.42	-1.7	0
2018-03-04	Parnu Vaprus	W 7-0	25.3	1483	1041	81.40%	13.79%	4.81%	+2.71	+7.9	3
2018-03-04	@ Nomme Kalju	L 0-7	25.3	1041	1483	4.81%	13.79%	81.40%	-2.71	-7.9	0
2018-03-09	Paide Linnameeskond	W 6-0	30.0	1515	1235	72.07%	17.30%	10.63%	+1.76	+15.9	6
2018-03-09	@ Flora	L 0-6	30.0	1235	1515	10.63%	17.30%	72.07%	-1.76	-15.9	1
2018-03-10	Nomme Kalju	D 2-2	60.8	1270	1491	17.04%	19.05%	63.90%	-1.17	+2.0	4
2018-03-10	@ Narva Trans	D 2-2	60.8	1491	1270	63.90%	19.05%	17.04%	+1.17	-2.0	4
2018-03-10	Tallinna Kalev	W 1-0	32.5	1118	862	70.35%	17.75%	11.89%	+1.62	+3.4	3
2018-03-10	@ Tulevik Viljandi	L 0-1	32.5	862	1118	11.89%	17.75%	70.35%	-1.62	-3.4	0
2018-03-10	Tammeka	L 0-1	35.8	1033	1213	20.62%	19.62%	59.76%	-0.93	-5.8	0
2018-03-10	@ Parnu Vaprus	W 1-0	35.8	1213	1033	59.76%	19.62%	20.62%	+0.93	+5.8	6
2018-03-11	Kuressaare	W 4-0	23.3	1531	931	87.47%	10.35%	2.18%	+3.63	+2.0	4
2018-03-11	@ Levadia	L 0-4	23.3	931	1531	2.18%	10.35%	87.47%	-3.63	-2.0	0
2018-03-13	Narva Trans	L 1-2	34.5	859	1272	6.85%	15.39%	77.76%	-2.29	-1.8	0
2018-03-13	@ Tallinna Kalev	W 2-1	34.5	1272	859	77.76%	15.39%	6.85%	+2.29	+1.8	7
2018-03-13	Parnu Vaprus	D 2-2	58.1	1219	1027	65.10%	18.86%	16.05%	+1.25	-2.1	2
2018-03-13	@ Paide Linnameeskond	D 2-2	58.1	1027	1219	16.05%	18.86%	65.10%	-1.25	+2.1	1
2018-03-14	Flora	W 2-0	51.4	1489	1530	36.86%	20.61%	42.52%	-0.12	+20.1	7
2018-03-14	@ Nomme Kalju	L 0-2	51.4	1530	1489	42.52%	20.61%	36.86%	+0.12	-20.1	6
2018-03-14	Levadia	L 0-3	31.4	1219	1533	11.04%	17.46%	71.51%	-1.71	-8.6	6
2018-03-14	@ Tammeka	W 3-0	31.4	1533	1219	71.51%	17.46%	11.04%	+1.71	+8.6	7
2018-03-14	Tulevik Viljandi	W 3-1	50.8	929	1121	19.50%	19.47%	61.04%	-1.00	+24.0	3
2018-03-14	@ Kuressaare	L 1-3	50.8	1121	929	61.04%	19.47%	19.50%	+1.00	-24.0	3
2018-03-16	Paide Linnameeskond	W 1-0	39.0	1274	1217	50.30%	20.38%	29.32%	+0.45	+7.9	10
2018-03-16	@ Narva Trans	L 0-1	39.0	1217	1274	29.32%	20.38%	50.30%	-0.45	-7.9	2
2018-03-17	Kuressaare	W 5-0	40.0	857	953	29.65%	20.40%	49.95%	-0.44	+53.9	3
2018-03-17	@ Tallinna Kalev	L 0-5	40.0	953	857	49.95%	20.40%	29.65%	+0.44	-53.9	3
2018-03-17	Levadia	L 0-7	26.6	1097	1541	5.89%	14.71%	79.41%	-2.47	-9.9	3
2018-03-17	@ Tulevik Viljandi	W 7-0	26.6	1541	1097	79.41%	14.71%	5.89%	+2.47	+9.9	10
2018-03-17	Parnu Vaprus	W 5-0	24.5	1510	1029	83.11%	12.92%	3.97%	+2.93	+4.7	9
2018-03-17	@ Flora	L 0-5	24.5	1029	1510	3.97%	12.92%	83.11%	-2.93	-4.7	1
2018-03-18	Tammeka	W 1-0	33.8	1509	1210	73.44%	16.90%	9.66%	+1.87	+2.8	10
2018-03-18	@ Nomme Kalju	L 0-1	33.8	1210	1509	9.66%	16.90%	73.44%	-1.87	-2.8	6
2018-03-30	Tammeka	L 0-4	27.9	899	1207	11.35%	17.57%	71.08%	-1.67	-11.6	3
2018-03-30	@ Kuressaare	W 4-0	27.9	1207	899	71.08%	17.57%	11.35%	+1.67	+11.6	9
2018-03-31	Narva Trans	W 5-0	31.9	1551	1281	71.38%	17.49%	11.13%	+1.70	+14.0	13
2018-03-31	@ Levadia	L 0-5	31.9	1281	1551	11.13%	17.49%	71.38%	-1.70	-14.0	10
2018-03-31	Nomme Kalju	L 1-4	36.3	1209	1512	11.64%	17.67%	70.69%	-1.64	-7.7	2
2018-03-31	@ Paide Linnameeskond	W 4-1	36.3	1512	1209	70.69%	17.67%	11.64%	+1.64	+7.7	13
2018-03-31	Tulevik Viljandi	D 1-1	52.5	1025	1088	33.92%	20.56%	45.53%	-0.24	+0.6	2
2018-03-31	@ Parnu Vaprus	D 1-1	52.5	1088	1025	45.53%	20.56%	33.92%	+0.24	-0.6	4
2018-04-01	Tallinna Kalev	W 1-0	27.6	1515	911	87.61%	10.26%	2.13%	+3.65	+0.5	12
2018-04-01	@ Flora	L 0-1	27.6	911	1515	2.13%	10.26%	87.61%	-3.65	-0.5	3
2018-04-03	Paide Linnameeskond	W 5-2	45.9	1219	1202	45.11%	20.57%	34.32%	+0.22	+17.9	12
2018-04-03	@ Tammeka	L 2-5	45.9	1202	1219	34.32%	20.57%	45.11%	-0.22	-18.0	2
2018-04-03	Tulevik Viljandi	W 2-0	32.7	1267	1087	64.03%	19.03%	16.93%	+1.18	+9.1	13
2018-04-03	@ Narva Trans	L 0-2	32.7	1087	1267	16.93%	19.03%	64.03%	-1.18	-9.1	4
2018-04-04	Flora	L 0-7	23.3	888	1516	2.34%	10.64%	87.01%	-3.54	-3.6	3
2018-04-04	@ Kuressaare	W 7-0	23.3	1516	888	87.01%	10.64%	2.34%	+3.54	+3.6	15
2018-04-04	Nomme Kalju	D 2-2	70.6	1565	1520	48.88%	20.45%	30.67%	+0.39	-0.7	14
2018-04-04	@ Levadia	D 2-2	70.6	1520	1565	30.67%	20.45%	48.88%	-0.39	+0.7	14
2018-04-04	Parnu Vaprus	W 4-2	53.2	910	1025	27.40%	20.27%	52.33%	-0.55	+18.6	6
2018-04-04	@ Tallinna Kalev	L 2-4	53.2	1025	910	52.33%	20.27%	27.40%	+0.55	-18.6	2
2018-04-07	Kuressaare	W 3-1	34.7	1184	884	73.47%	16.89%	9.64%	+1.87	+4.5	5
2018-04-07	@ Paide Linnameeskond	L 1-3	34.7	884	1184	9.64%	16.89%	73.47%	-1.87	-4.5	3
2018-04-07	Levadia	L 0-5	24.3	1007	1564	3.35%	12.16%	84.49%	-3.13	-3.9	2
2018-04-07	@ Parnu Vaprus	W 5-0	24.3	1564	1007	84.49%	12.16%	3.35%	+3.13	+3.9	17
2018-04-07	Narva Trans	D 0-0	53.6	1519	1276	69.35%	18.00%	12.65%	+1.54	-3.7	16
2018-04-07	@ Flora	D 0-0	53.6	1276	1519	12.65%	18.00%	69.35%	-1.54	+3.7	14
2018-04-07	Tammeka	L 0-2	34.6	1078	1237	22.63%	19.86%	57.50%	-0.80	-11.8	4
2018-04-07	@ Tulevik Viljandi	W 2-0	34.6	1237	1078	57.50%	19.86%	22.63%	+0.80	+11.9	15
2018-04-08	Tallinna Kalev	W 3-0	24.3	1521	929	87.21%	10.52%	2.27%	+3.58	+1.6	17
2018-04-08	@ Nomme Kalju	L 0-3	24.3	929	1521	2.27%	10.52%	87.21%	-3.58	-1.6	6
2018-04-13	Paide Linnameeskond	L 2-3	42.8	927	1188	14.20%	18.43%	67.37%	-1.40	-3.6	6
2018-04-13	@ Tallinna Kalev	W 3-2	42.8	1188	927	67.37%	18.43%	14.20%	+1.40	+3.6	8
2018-04-14	Flora	W 2-1	55.9	1568	1515	49.86%	20.40%	29.74%	+0.43	+7.5	20
2018-04-14	@ Levadia	L 1-2	55.9	1515	1568	29.74%	20.40%	49.86%	-0.43	-7.5	16
2018-04-14	Narva Trans	D 1-1	53.1	1249	1280	38.23%	20.62%	41.15%	-0.06	+0.1	16
2018-04-14	@ Tammeka	D 1-1	53.1	1280	1249	41.15%	20.62%	38.23%	+0.06	-0.2	15
2018-04-14	Nomme Kalju	L 0-6	25.8	1066	1522	5.54%	14.43%	80.02%	-2.54	-8.0	4
2018-04-14	@ Tulevik Viljandi	W 6-0	25.8	1522	1066	80.02%	14.43%	5.54%	+2.54	+8.0	20
2018-04-15	Kuressaare	D 1-1	52.7	1003	880	58.26%	19.79%	21.95%	+0.84	-2.0	3
2018-04-15	@ Parnu Vaprus	D 1-1	52.7	880	1003	21.95%	19.79%	58.26%	-0.84	+2.1	4
2018-04-20	Parnu Vaprus	W 4-2	40.6	1249	1001	69.77%	17.90%	12.34%	+1.57	+5.2	19
2018-04-20	@ Tammeka	L 2-4	40.6	1001	1249	12.34%	17.90%	69.77%	-1.57	-5.2	3
2018-04-21	Flora	L 0-6	25.8	1058	1508	5.72%	14.57%	79.71%	-2.50	-8.2	4
2018-04-21	@ Tulevik Viljandi	W 6-0	25.8	1508	1058	79.71%	14.57%	5.72%	+2.50	+8.3	19
2018-04-21	Nomme Kalju	L 0-3	24.1	882	1530	2.11%	10.22%	87.68%	-3.66	-1.5	4
2018-04-21	@ Kuressaare	W 3-0	24.1	1530	882	87.68%	10.22%	2.11%	+3.66	+1.5	23
2018-04-21	Tallinna Kalev	D 2-2	59.0	1280	924	76.96%	15.70%	7.34%	+2.20	-3.1	16
2018-04-21	@ Narva Trans	D 2-2	59.0	924	1280	7.34%	15.70%	76.96%	-2.20	+3.1	7
2018-04-22	Levadia	L 1-3	36.8	1192	1576	7.88%	16.02%	76.10%	-2.12	-3.6	8
2018-04-22	@ Paide Linnameeskond	W 3-1	36.8	1576	1192	76.10%	16.02%	7.88%	+2.12	+3.6	23
2018-04-27	Narva Trans	W 5-2	41.9	1532	1277	70.27%	17.78%	11.96%	+1.61	+6.8	26
2018-04-27	@ Nomme Kalju	L 2-5	41.9	1277	1532	11.96%	17.78%	70.27%	-1.61	-6.8	16
2018-04-28	Flora	L 0-2	31.9	1188	1516	10.32%	17.18%	72.50%	-1.79	-5.6	8
2018-04-28	@ Paide Linnameeskond	W 2-0	31.9	1516	1188	72.50%	17.18%	10.32%	+1.79	+5.6	22
2018-04-28	Tallinna Kalev	W 1-0	42.8	880	927	36.09%	20.60%	43.31%	-0.15	+10.8	7
2018-04-28	@ Kuressaare	L 0-1	42.8	927	880	43.31%	20.60%	36.09%	+0.15	-10.8	7
2018-04-28	Tammeka	W 3-1	38.6	1579	1254	75.12%	16.36%	8.52%	+2.02	+3.9	26
2018-04-28	@ Levadia	L 1-3	38.6	1254	1579	8.52%	16.36%	75.12%	-2.02	-3.9	19
2018-04-29	Parnu Vaprus	W 2-1	42.9	1050	996	50.01%	20.39%	29.59%	+0.44	+7.5	7
2018-04-29	@ Tulevik Viljandi	L 1-2	42.9	996	1050	29.59%	20.39%	50.01%	-0.44	-7.5	3
2018-05-01	Kuressaare	L 1-2	55.7	1250	891	77.13%	15.64%	7.24%	+2.22	-17.1	19
2018-05-01	@ Tammeka	W 2-1	55.7	891	1250	7.24%	15.64%	77.13%	-2.22	+17.1	10
2018-05-01	Levadia	D 1-1	58.4	1270	1583	11.07%	17.47%	71.46%	-1.71	+3.6	17
2018-05-01	@ Narva Trans	D 1-1	58.4	1583	1270	71.46%	17.47%	11.07%	+1.71	-3.6	27
2018-05-02	Nomme Kalju	D 3-3	74.4	1522	1538	40.34%	20.63%	39.03%	+0.03	-0.0	23
2018-05-02	@ Flora	D 3-3	74.4	1538	1522	39.03%	20.63%	40.34%	-0.03	+0.0	27
2018-05-02	Paide Linnameeskond	D 1-1	52.9	988	1183	19.30%	19.44%	61.26%	-1.01	+2.4	4
2018-05-02	@ Parnu Vaprus	D 1-1	52.9	1183	988	61.26%	19.44%	19.30%	+1.01	-2.4	9
2018-05-02	Tulevik Viljandi	L 1-2	41.2	916	1057	24.48%	20.04%	55.48%	-0.70	-6.4	7
2018-05-02	@ Tallinna Kalev	W 2-1	41.2	1057	916	55.48%	20.04%	24.48%	+0.70	+6.4	10
2018-05-04	Kuressaare	W 3-0	26.9	1274	908	77.49%	15.50%	7.01%	+2.26	+5.4	20
2018-05-04	@ Narva Trans	L 0-3	26.9	908	1274	7.01%	15.50%	77.49%	-2.26	-5.4	10
2018-05-05	Flora	L 1-3	31.0	910	1522	2.54%	10.98%	86.48%	-3.45	-1.1	7
2018-05-05	@ Tallinna Kalev	W 3-1	31.0	1522	910	86.48%	10.98%	2.54%	+3.45	+1.1	26
2018-05-05	Nomme Kalju	L 0-6	24.3	991	1538	3.52%	12.38%	84.11%	-3.08	-4.9	4
2018-05-05	@ Parnu Vaprus	W 6-0	24.3	1538	991	84.11%	12.38%	3.52%	+3.08	+4.9	30
2018-05-05	Tulevik Viljandi	W 5-0	24.8	1580	1064	84.54%	12.14%	3.33%	+3.14	+3.9	30
2018-05-05	@ Levadia	L 0-5	24.8	1064	1580	3.33%	12.14%	84.54%	-3.14	-3.9	10
2018-05-06	Tammeka	D 3-3	62.4	1180	1233	35.27%	20.59%	44.14%	-0.18	+0.3	10
2018-05-06	@ Paide Linnameeskond	D 3-3	62.4	1233	1180	44.14%	20.59%	35.27%	+0.18	-0.3	20
2018-05-11	Nomme Kalju	D 1-1	56.6	1233	1543	11.21%	17.52%	71.27%	-1.69	+3.6	21
2018-05-11	@ Tammeka	D 1-1	56.6	1543	1233	71.27%	17.52%	11.21%	+1.69	-3.6	31
2018-05-11	Tallinna Kalev	W 3-0	23.7	1584	909	89.67%	8.85%	1.47%	+4.07	+1.0	33
2018-05-11	@ Levadia	L 0-3	23.7	909	1584	1.47%	8.85%	89.67%	-4.07	-1.0	7
2018-05-12	Flora	L 1-8	26.5	986	1523	3.71%	12.62%	83.67%	-3.01	-4.9	4
2018-05-12	@ Parnu Vaprus	W 8-1	26.5	1523	986	83.67%	12.62%	3.71%	+3.01	+4.9	29
2018-05-12	Narva Trans	L 0-6	30.0	1060	1279	17.22%	19.09%	63.69%	-1.16	-25.6	10
2018-05-12	@ Tulevik Viljandi	W 6-0	30.0	1279	1060	63.69%	19.09%	17.22%	+1.16	+25.6	23
2018-05-13	Paide Linnameeskond	L 1-4	34.7	903	1181	13.10%	18.13%	68.77%	-1.50	-8.7	10
2018-05-13	@ Kuressaare	W 4-1	34.7	1181	903	68.77%	18.13%	13.10%	+1.50	+8.7	13
2018-05-15	Levadia	W 2-1	61.3	1540	1585	36.35%	20.60%	43.05%	-0.14	+10.2	34
2018-05-15	@ Nomme Kalju	L 1-2	61.3	1585	1540	43.05%	20.60%	36.35%	+0.14	-10.2	33
2018-05-15	Tammeka	W 4-1	40.4	1305	1236	51.83%	20.30%	27.87%	+0.52	+17.4	26
2018-05-15	@ Narva Trans	L 1-4	40.4	1236	1305	27.87%	20.30%	51.83%	-0.52	-17.4	21
2018-05-16	Kuressaare	W 2-1	31.5	1528	894	88.51%	9.66%	1.83%	+3.82	+0.4	32
2018-05-16	@ Flora	L 1-2	31.5	894	1528	1.83%	9.66%	88.51%	-3.82	-0.4	10
2018-05-18	Paide Linnameeskond	D 1-1	52.8	1034	1189	23.03%	19.91%	57.06%	-0.78	+1.9	11
2018-05-18	@ Tulevik Viljandi	D 1-1	52.8	1189	1034	57.06%	19.91%	23.03%	+0.78	-1.9	14
2018-05-20	Tallinna Kalev	L 0-4	41.0	981	908	52.42%	20.26%	27.32%	+0.55	-45.7	4
2018-05-20	@ Parnu Vaprus	W 4-0	41.0	908	981	27.32%	20.26%	52.42%	-0.55	+45.7	10
2018-05-22	Narva Trans	L 0-2	35.8	1187	1322	25.17%	20.10%	54.73%	-0.66	-13.0	14
2018-05-22	@ Paide Linnameeskond	W 2-0	35.8	1322	1187	54.73%	20.10%	25.17%	+0.66	+13.0	29
2018-05-22	Tulevik Viljandi	D 0-0	49.9	1219	1036	64.25%	19.00%	16.75%	+1.19	-3.1	22
2018-05-22	@ Tammeka	D 0-0	49.9	1036	1219	16.75%	19.00%	64.25%	-1.19	+3.1	12
2018-05-23	Levadia	D 2-2	71.1	1528	1575	36.14%	20.60%	43.26%	-0.15	+0.3	33
2018-05-23	@ Flora	D 2-2	71.1	1575	1528	43.26%	20.60%	36.14%	+0.15	-0.3	34
2018-05-23	Nomme Kalju	D 2-2	60.7	953	1550	2.75%	11.31%	85.94%	-3.36	+3.6	11
2018-05-23	@ Tallinna Kalev	D 2-2	60.7	1550	953	85.94%	11.31%	2.75%	+3.36	-3.6	35
2018-05-23	Parnu Vaprus	L 1-3	43.9	894	935	36.81%	20.61%	42.58%	-0.12	-15.5	10
2018-05-23	@ Kuressaare	W 3-1	43.9	935	894	42.58%	20.61%	36.81%	+0.12	+15.5	7
2018-05-26	Flora	L 2-4	48.4	1335	1528	19.40%	19.45%	61.15%	-1.00	-8.0	29
2018-05-26	@ Narva Trans	W 4-2	48.4	1528	1335	61.15%	19.45%	19.40%	+1.00	+8.0	36
2018-05-26	Kuressaare	L 1-3	51.1	1039	878	62.17%	19.31%	18.51%	+1.06	-24.4	12
2018-05-26	@ Tulevik Viljandi	W 3-1	51.1	878	1039	18.51%	19.31%	62.17%	-1.06	+24.4	13
2018-05-26	Paide Linnameeskond	W 3-2	41.9	1546	1174	77.85%	15.35%	6.80%	+2.30	+1.7	38
2018-05-26	@ Nomme Kalju	L 2-3	41.9	1174	1546	6.80%	15.35%	77.85%	-2.30	-1.7	14
2018-05-26	Parnu Vaprus	W 6-1	26.8	1574	951	88.21%	9.86%	1.93%	+3.77	+1.8	37
2018-05-26	@ Levadia	L 1-6	26.8	951	1574	1.93%	9.86%	88.21%	-3.77	-1.8	7
2018-05-27	Tammeka	W 2-1	53.6	957	1216	14.33%	18.46%	67.21%	-1.39	+15.1	14
2018-05-27	@ Tallinna Kalev	L 1-2	53.6	1216	957	67.21%	18.46%	14.33%	+1.39	-15.2	22
2018-06-05	Levadia	L 0-4	24.0	972	1576	2.65%	11.15%	86.20%	-3.40	-2.4	14
2018-06-05	@ Tallinna Kalev	W 4-0	24.0	1576	972	86.20%	11.15%	2.65%	+3.40	+2.4	40
2018-06-05	Tulevik Viljandi	W 4-0	30.7	1173	1015	61.86%	19.36%	18.79%	+1.05	+19.0	17
2018-06-05	@ Paide Linnameeskond	L 0-4	30.7	1015	1173	18.79%	19.36%	61.86%	-1.05	-19.0	12
2018-06-06	Kuressaare	W 8-3	29.0	1548	902	88.86%	9.42%	1.72%	+3.89	+1.2	41
2018-06-06	@ Nomme Kalju	L 3-8	29.0	902	1548	1.72%	9.42%	88.86%	-3.89	-1.2	13
2018-06-06	Parnu Vaprus	W 6-0	25.6	1327	949	78.19%	15.22%	6.59%	+2.33	+9.6	32
2018-06-06	@ Narva Trans	L 0-6	25.6	949	1327	6.59%	15.22%	78.19%	-2.33	-9.6	7
2018-06-06	Tammeka	W 3-1	36.4	1536	1201	75.76%	16.14%	8.10%	+2.09	+3.7	39
2018-06-06	@ Flora	L 1-3	36.4	1201	1536	8.10%	16.14%	75.76%	-2.09	-3.7	22
2018-06-12	Levadia	D 1-1	56.2	901	1578	1.82%	9.64%	88.54%	-3.83	+5.0	14
2018-06-12	@ Kuressaare	D 1-1	56.2	1578	901	88.54%	9.64%	1.82%	+3.83	-5.0	41
2018-06-12	Narva Trans	L 0-4	26.2	939	1337	7.39%	15.73%	76.89%	-2.20	-7.4	7
2018-06-12	@ Parnu Vaprus	W 4-0	26.2	1337	939	76.89%	15.73%	7.39%	+2.20	+7.4	35
2018-06-12	Tallinna Kalev	W 2-0	31.4	1192	970	67.68%	18.36%	13.96%	+1.42	+7.5	20
2018-06-12	@ Paide Linnameeskond	L 0-2	31.4	970	1192	13.96%	18.36%	67.68%	-1.42	-7.5	14
2018-06-12	Tulevik Viljandi	W 8-2	27.8	1549	996	85.92%	11.32%	2.76%	+3.36	+2.5	44
2018-06-12	@ Nomme Kalju	L 2-8	27.8	996	1549	2.76%	11.32%	85.92%	-3.36	-2.5	12
2018-06-13	Flora	L 0-3	30.5	1197	1540	9.59%	16.87%	73.53%	-1.88	-7.5	22
2018-06-13	@ Tammeka	W 3-0	30.5	1540	1197	73.53%	16.87%	9.59%	+1.88	+7.5	42
2018-07-20	Tulevik Viljandi	W 4-0	24.0	1548	993	85.95%	11.30%	2.74%	+3.36	+2.5	45
2018-07-20	@ Flora	L 0-4	24.0	993	1548	2.74%	11.30%	85.95%	-3.36	-2.5	12
2018-07-21	Kuressaare	W 3-0	35.1	962	906	50.24%	20.38%	29.38%	+0.45	+21.6	17
2018-07-21	@ Tallinna Kalev	L 0-3	35.1	906	962	29.38%	20.38%	50.24%	-0.45	-21.6	14
2018-07-22	Nomme Kalju	L 0-3	37.6	1344	1552	18.18%	19.26%	62.57%	-1.09	-14.1	35
2018-07-22	@ Narva Trans	W 3-0	37.6	1552	1344	62.57%	19.26%	18.18%	+1.09	+14.1	47
2018-07-22	Paide Linnameeskond	W 4-0	28.8	1573	1199	77.98%	15.30%	6.72%	+2.31	+6.7	44
2018-07-22	@ Levadia	L 0-4	28.8	1199	1573	6.72%	15.30%	77.98%	-2.31	-6.7	20
2018-07-22	Tammeka	D 1-1	53.2	932	1189	14.42%	18.48%	67.10%	-1.38	+3.1	8
2018-07-22	@ Parnu Vaprus	D 1-1	53.2	1189	932	67.10%	18.48%	14.42%	+1.38	-3.1	23
2018-07-27	Tallinna Kalev	D 2-2	57.5	991	984	43.69%	20.59%	35.72%	+0.16	-0.3	13
2018-07-27	@ Tulevik Viljandi	D 2-2	57.5	984	991	35.72%	20.59%	43.69%	-0.16	+0.3	18
2018-07-28	Levadia	W 1-0	56.4	1566	1580	40.68%	20.63%	38.70%	+0.04	+9.9	50
2018-07-28	@ Nomme Kalju	L 0-1	56.4	1580	1566	38.70%	20.63%	40.68%	-0.04	-9.9	44
2018-07-28	Narva Trans	W 2-1	51.1	1186	1330	24.20%	20.02%	55.78%	-0.72	+12.7	26
2018-07-28	@ Tammeka	L 1-2	51.1	1330	1186	55.78%	20.02%	24.20%	+0.72	-12.7	35
2018-07-29	Kuressaare	W 2-1	35.7	1192	885	73.99%	16.73%	9.28%	+1.92	+2.5	23
2018-07-29	@ Paide Linnameeskond	L 1-2	35.7	885	1192	9.28%	16.73%	73.99%	-1.92	-2.5	14
2018-08-03	Parnu Vaprus	D 1-1	52.6	990	935	50.19%	20.39%	29.43%	+0.45	-1.1	14
2018-08-03	@ Tulevik Viljandi	D 1-1	52.6	935	990	29.43%	20.39%	50.19%	-0.45	+1.1	9
2018-08-04	Paide Linnameeskond	L 1-2	51.7	1317	1195	58.17%	19.80%	22.04%	+0.84	-13.2	35
2018-08-04	@ Narva Trans	W 2-1	51.7	1195	1317	22.04%	19.80%	58.17%	-0.84	+13.2	26
2018-08-05	Flora	L 0-4	23.0	882	1550	1.91%	9.82%	88.27%	-3.78	-1.7	14
2018-08-05	@ Kuressaare	W 4-0	23.0	1550	882	88.27%	9.82%	1.91%	+3.78	+1.7	48
2018-08-05	Tallinna Kalev	D 1-1	56.2	1576	984	87.22%	10.51%	2.27%	+3.58	-4.9	51
2018-08-05	@ Nomme Kalju	D 1-1	56.2	984	1576	2.27%	10.51%	87.22%	-3.58	+4.9	19
2018-08-05	Tammeka	L 0-1	54.6	1570	1199	77.81%	15.37%	6.82%	+2.29	-18.3	44
2018-08-05	@ Levadia	W 1-0	54.6	1199	1570	6.82%	15.37%	77.81%	-2.29	+18.3	29
2018-08-10	Flora	D 3-3	66.2	1208	1552	9.57%	16.86%	73.57%	-1.88	+2.4	27
2018-08-10	@ Paide Linnameeskond	D 3-3	66.2	1552	1208	73.57%	16.86%	9.57%	+1.88	-2.4	49
2018-08-10	Kuressaare	W 4-0	22.5	1571	880	90.07%	8.57%	1.36%	+4.16	+1.2	54
2018-08-10	@ Nomme Kalju	L 0-4	22.5	880	1571	1.36%	8.57%	90.07%	-4.16	-1.2	14
2018-08-11	Narva Trans	W 6-1	36.8	1552	1304	69.76%	17.90%	12.34%	+1.57	+12.9	47
2018-08-11	@ Levadia	L 1-6	36.8	1304	1552	12.34%	17.90%	69.76%	-1.57	-12.9	35
2018-08-11	Tulevik Viljandi	W 1-0	33.2	1217	989	68.18%	18.26%	13.56%	+1.46	+3.9	32
2018-08-11	@ Tammeka	L 0-1	33.2	989	1217	13.56%	18.26%	68.18%	-1.46	-3.9	14
2018-08-12	Tallinna Kalev	L 2-4	48.2	936	989	35.25%	20.59%	44.16%	-0.18	-13.4	9
2018-08-12	@ Parnu Vaprus	W 4-2	48.2	989	936	44.16%	20.59%	35.25%	+0.18	+13.4	22
2018-08-17	Tammeka	L 1-3	34.7	879	1221	9.66%	16.90%	73.44%	-1.87	-4.5	14
2018-08-17	@ Kuressaare	W 3-1	34.7	1221	879	73.44%	16.90%	9.66%	+1.87	+4.5	35
2018-08-17	Tulevik Viljandi	W 4-1	33.2	1291	985	73.87%	16.77%	9.36%	+1.91	+6.2	38
2018-08-17	@ Narva Trans	L 1-4	33.2	985	1291	9.36%	16.77%	73.87%	-1.91	-6.1	14
2018-08-18	Nomme Kalju	L 0-3	31.0	1210	1572	8.79%	16.49%	74.72%	-1.99	-6.8	27
2018-08-18	@ Paide Linnameeskond	W 3-0	31.0	1572	1210	74.72%	16.49%	8.79%	+1.99	+6.8	57
2018-08-19	Levadia	L 0-4	23.3	923	1565	2.18%	10.35%	87.48%	-3.63	-2.0	9
2018-08-19	@ Parnu Vaprus	W 4-0	23.3	1565	923	87.48%	10.35%	2.18%	+3.63	+2.0	50
2018-08-19	Tallinna Kalev	W 3-1	31.6	1549	1002	85.69%	11.46%	2.85%	+3.32	+1.2	52
2018-08-19	@ Flora	L 1-3	31.6	1002	1549	2.85%	11.46%	85.69%	-3.32	-1.2	22
2018-08-24	Tammeka	W 5-0	29.5	1551	1226	75.10%	16.37%	8.54%	+2.02	+10.7	55
2018-08-24	@ Flora	L 0-5	29.5	1226	1551	8.54%	16.37%	75.10%	-2.02	-10.7	35
2018-08-25	Kuressaare	W 4-0	22.4	1567	875	90.12%	8.53%	1.35%	+4.17	+1.2	53
2018-08-25	@ Levadia	L 0-4	22.4	875	1567	1.35%	8.53%	90.12%	-4.17	-1.2	14
2018-08-25	Narva Trans	L 0-1	32.7	1001	1297	12.01%	17.79%	70.20%	-1.61	-3.4	22
2018-08-25	@ Tallinna Kalev	W 1-0	32.7	1297	1001	70.20%	17.79%	12.01%	+1.61	+3.4	41
2018-08-25	Paide Linnameeskond	L 0-3	30.9	979	1204	16.82%	19.01%	64.17%	-1.19	-13.1	14
2018-08-25	@ Tulevik Viljandi	W 3-0	30.9	1204	979	64.17%	19.01%	16.82%	+1.19	+13.1	30
2018-08-25	Parnu Vaprus	W 4-0	22.9	1579	921	89.21%	9.18%	1.61%	+3.97	+1.4	60
2018-08-25	@ Nomme Kalju	L 0-4	22.9	921	1579	1.61%	9.18%	89.21%	-3.97	-1.4	9
2018-08-28	Narva Trans	L 0-3	26.6	874	1301	6.39%	15.08%	78.53%	-2.37	-4.9	14
2018-08-28	@ Kuressaare	W 3-0	26.6	1301	874	78.53%	15.08%	6.39%	+2.37	+4.9	44
2018-08-28	Nomme Kalju	L 2-5	33.8	966	1580	2.51%	10.94%	86.55%	-3.46	-1.3	14
2018-08-28	@ Tulevik Viljandi	W 5-2	33.8	1580	966	86.55%	10.94%	2.51%	+3.46	+1.3	63
2018-08-28	Paide Linnameeskond	L 0-3	29.1	919	1217	11.94%	17.77%	70.29%	-1.61	-9.4	9
2018-08-28	@ Parnu Vaprus	W 3-0	29.1	1217	919	70.29%	17.77%	11.94%	+1.61	+9.4	33
2018-08-28	Tallinna Kalev	W 1-0	33.5	1215	998	67.30%	18.44%	14.26%	+1.39	+4.1	38
2018-08-28	@ Tammeka	L 0-1	33.5	998	1215	14.26%	18.44%	67.30%	-1.39	-4.1	22
2018-08-29	Levadia	W 3-0	52.1	1561	1568	41.76%	20.62%	37.62%	+0.08	+26.5	58
2018-08-29	@ Flora	L 0-3	52.1	1568	1561	37.62%	20.62%	41.76%	-0.08	-26.5	53
2018-08-31	Parnu Vaprus	D 1-1	54.3	1306	910	79.12%	14.83%	6.05%	+2.44	-4.3	45
2018-08-31	@ Narva Trans	D 1-1	54.3	910	1306	6.05%	14.83%	79.12%	-2.44	+4.3	10
2018-09-01	Tallinna Kalev	W 3-2	37.9	1542	994	85.72%	11.44%	2.84%	+3.32	+0.7	56
2018-09-01	@ Levadia	L 2-3	37.9	994	1542	2.84%	11.44%	85.72%	-3.32	-0.6	22
2018-09-01	Tammeka	W 2-1	45.0	1226	1219	43.69%	20.59%	35.71%	+0.16	+8.7	36
2018-09-01	@ Paide Linnameeskond	L 1-2	45.0	1219	1226	35.71%	20.59%	43.69%	-0.16	-8.7	38
2018-09-01	Tulevik Viljandi	L 1-4	40.3	869	965	29.66%	20.40%	49.94%	-0.44	-18.4	14
2018-09-01	@ Kuressaare	W 4-1	40.3	965	869	49.94%	20.40%	29.66%	+0.44	+18.3	17
2018-09-02	Flora	D 1-1	68.1	1582	1588	41.82%	20.62%	37.56%	+0.09	-0.2	64
2018-09-02	@ Nomme Kalju	D 1-1	68.1	1588	1582	37.56%	20.62%	41.82%	-0.09	+0.2	59
2018-09-14	Nomme Kalju	L 0-1	34.5	1210	1581	8.40%	16.30%	75.31%	-2.04	-2.4	38
2018-09-14	@ Tammeka	W 1-0	34.5	1581	1210	75.31%	16.30%	8.40%	+2.04	+2.4	67
2018-09-15	Kuressaare	W 3-1	41.3	914	850	51.26%	20.33%	28.41%	+0.50	+12.5	13
2018-09-15	@ Parnu Vaprus	L 1-3	41.3	850	914	28.41%	20.33%	51.26%	-0.50	-12.5	14
2018-09-15	Narva Trans	D 2-2	64.6	1588	1301	72.58%	17.16%	10.26%	+1.80	-2.8	60
2018-09-15	@ Flora	D 2-2	64.6	1301	1588	10.26%	17.16%	72.58%	-1.80	+2.8	46
2018-09-15	Paide Linnameeskond	L 1-2	38.2	993	1235	15.51%	18.74%	65.75%	-1.29	-4.2	22
2018-09-15	@ Tallinna Kalev	W 2-1	38.2	1235	993	65.75%	18.74%	15.51%	+1.29	+4.2	39
2018-09-16	Levadia	L 0-4	24.4	983	1542	3.32%	12.13%	84.55%	-3.14	-3.1	17
2018-09-16	@ Tulevik Viljandi	W 4-0	24.4	1542	983	84.55%	12.13%	3.32%	+3.14	+3.1	59
2018-09-18	Nomme Kalju	L 2-4	34.6	838	1584	1.27%	8.33%	90.40%	-4.23	-0.4	14
2018-09-18	@ Kuressaare	W 4-2	34.6	1584	838	90.40%	8.33%	1.27%	+4.23	+0.4	70
2018-09-18	Tammeka	W 2-1	41.8	1304	1208	55.18%	20.07%	24.75%	+0.69	+6.4	49
2018-09-18	@ Narva Trans	L 1-2	41.8	1208	1304	24.75%	20.07%	55.18%	-0.69	-6.4	38
2018-09-19	Paide Linnameeskond	W 7-2	35.9	1585	1239	76.38%	15.92%	7.70%	+2.15	+6.6	63
2018-09-19	@ Flora	L 2-7	35.9	1239	1585	7.70%	15.92%	76.38%	-2.15	-6.6	39
2018-09-19	Parnu Vaprus	W 4-0	23.1	1545	927	88.06%	9.96%	1.98%	+3.74	+1.8	62
2018-09-19	@ Levadia	L 0-4	23.1	927	1545	1.98%	9.96%	88.06%	-3.74	-1.8	13
2018-09-19	Tulevik Viljandi	L 0-2	41.1	989	980	43.93%	20.59%	35.47%	+0.18	-20.7	22
2018-09-19	@ Tallinna Kalev	W 2-0	41.1	980	989	35.47%	20.59%	43.93%	-0.18	+20.7	20
2018-09-22	Levadia	L 0-5	22.2	837	1547	1.54%	9.00%	89.46%	-4.02	-1.7	14
2018-09-22	@ Kuressaare	W 5-0	22.2	1547	837	89.46%	9.00%	1.54%	+4.02	+1.7	65
2018-09-22	Narva Trans	L 2-5	45.5	1232	1310	31.91%	20.49%	47.60%	-0.33	-16.9	39
2018-09-22	@ Paide Linnameeskond	W 5-2	45.5	1310	1232	47.60%	20.49%	31.91%	+0.33	+16.9	52
2018-09-22	Parnu Vaprus	W 3-0	23.8	1592	925	89.45%	9.01%	1.54%	+4.02	+1.0	66
2018-09-22	@ Flora	L 0-3	23.8	925	1592	1.54%	9.01%	89.45%	-4.02	-1.0	13
2018-09-22	Tammeka	W 3-2	57.4	1001	1202	18.75%	19.35%	61.90%	-1.05	+13.3	23
2018-09-22	@ Tulevik Viljandi	L 2-3	57.4	1202	1001	61.90%	19.35%	18.75%	+1.05	-13.3	38
2018-09-23	Nomme Kalju	L 0-2	26.4	968	1584	2.49%	10.90%	86.61%	-3.47	-1.2	22
2018-09-23	@ Tallinna Kalev	W 2-0	26.4	1584	968	86.61%	10.90%	2.49%	+3.47	+1.2	73
2018-09-28	Kuressaare	W 2-1	32.8	1327	836	83.55%	12.68%	3.77%	+3.00	+0.9	55
2018-09-28	@ Narva Trans	L 1-2	32.8	836	1327	3.77%	12.68%	83.55%	-3.00	-0.9	14
2018-09-29	Levadia	L 1-4	36.4	1215	1549	10.06%	17.07%	72.87%	-1.82	-6.6	39
2018-09-29	@ Paide Linnameeskond	W 4-1	36.4	1549	1215	72.87%	17.07%	10.06%	+1.82	+6.6	68
2018-09-29	Parnu Vaprus	W 5-0	27.6	1188	924	70.98%	17.59%	11.42%	+1.67	+14.4	41
2018-09-29	@ Tammeka	L 0-5	27.6	924	1188	11.42%	17.59%	70.98%	-1.67	-14.4	13
2018-09-29	Tulevik Viljandi	W 4-0	24.1	1585	1014	86.54%	10.94%	2.52%	+3.46	+2.3	76
2018-09-29	@ Nomme Kalju	L 0-4	24.1	1014	1585	2.52%	10.94%	86.54%	-3.46	-2.3	23
2018-09-30	Flora	D 2-2	61.2	967	1593	2.37%	10.69%	86.95%	-3.53	+3.6	23
2018-09-30	@ Tallinna Kalev	D 2-2	61.2	1593	967	86.95%	10.69%	2.37%	+3.53	-3.7	67
2018-10-02	Paide Linnameeskond	L 1-3	34.1	835	1209	8.28%	16.23%	75.49%	-2.06	-3.8	14
2018-10-02	@ Kuressaare	W 3-1	34.1	1209	835	75.49%	16.23%	8.28%	+2.06	+3.8	42
2018-10-02	Tulevik Viljandi	L 0-3	34.9	910	1012	28.92%	20.36%	50.72%	-0.47	-21.3	13
2018-10-02	@ Parnu Vaprus	W 3-0	34.9	1012	910	50.72%	20.36%	28.92%	+0.47	+21.3	26
2018-10-03	Flora	L 0-4	29.8	1203	1589	7.78%	15.96%	76.26%	-2.13	-7.9	41
2018-10-03	@ Tammeka	W 4-0	29.8	1589	1203	76.26%	15.96%	7.78%	+2.13	+7.9	70
2018-10-03	Nomme Kalju	D 0-0	64.2	1555	1588	38.13%	20.62%	41.25%	-0.06	+0.2	69
2018-10-03	@ Levadia	D 0-0	64.2	1588	1555	41.25%	20.62%	38.13%	+0.06	-0.2	77
2018-10-03	Tallinna Kalev	W 3-2	40.0	1328	971	77.05%	15.67%	7.28%	+2.21	+1.8	58
2018-10-03	@ Narva Trans	L 2-3	40.0	971	1328	7.28%	15.67%	77.05%	-2.21	-1.8	23
2018-10-06	Kuressaare	L 1-2	53.3	1033	831	65.98%	18.70%	15.32%	+1.30	-14.9	26
2018-10-06	@ Tulevik Viljandi	W 2-1	53.3	831	1033	15.32%	18.70%	65.98%	-1.30	+14.9	17
2018-10-06	Levadia	L 1-4	30.2	969	1556	2.89%	11.52%	85.59%	-3.30	-1.7	23
2018-10-06	@ Tallinna Kalev	W 4-1	30.2	1556	969	85.59%	11.52%	2.89%	+3.30	+1.7	72
2018-10-06	Narva Trans	L 0-1	29.9	888	1330	5.95%	14.75%	79.30%	-2.46	-1.6	13
2018-10-06	@ Parnu Vaprus	W 1-0	29.9	1330	888	79.30%	14.75%	5.95%	+2.46	+1.6	61
2018-10-06	Paide Linnameeskond	D 1-1	52.7	1195	1213	40.18%	20.63%	39.20%	+0.02	-0.0	42
2018-10-06	@ Tammeka	D 1-1	52.7	1213	1195	39.20%	20.63%	40.18%	-0.02	+0.0	43
2018-10-07	Nomme Kalju	D 2-2	73.5	1597	1587	44.07%	20.59%	35.34%	+0.18	-0.4	71
2018-10-07	@ Flora	D 2-2	73.5	1587	1597	35.34%	20.59%	44.07%	-0.18	+0.3	78
2018-10-20	Flora	L 1-2	44.9	1332	1597	13.92%	18.35%	67.73%	-1.42	-3.8	61
2018-10-20	@ Narva Trans	W 2-1	44.9	1597	1332	67.73%	18.35%	13.92%	+1.42	+3.8	74
2018-10-20	Parnu Vaprus	W 2-1	35.3	1213	887	75.16%	16.35%	8.49%	+2.03	+2.3	46
2018-10-20	@ Paide Linnameeskond	L 1-2	35.3	887	1213	8.49%	16.35%	75.16%	-2.03	-2.3	13
2018-10-20	Tallinna Kalev	D 3-3	62.3	846	967	26.70%	20.22%	53.08%	-0.58	+0.9	18
2018-10-20	@ Kuressaare	D 3-3	62.3	967	846	53.08%	20.22%	26.70%	+0.58	-0.9	24
2018-10-21	Tammeka	D 2-2	62.5	1588	1195	78.98%	14.89%	6.13%	+2.42	-3.2	79
2018-10-21	@ Nomme Kalju	D 2-2	62.5	1195	1588	6.13%	14.89%	78.98%	-2.42	+3.2	43
2018-10-21	Tulevik Viljandi	W 2-1	33.0	1557	1018	85.40%	11.63%	2.96%	+3.27	+0.7	75
2018-10-21	@ Levadia	L 1-2	33.0	1018	1557	2.96%	11.63%	85.40%	-3.27	-0.7	26
2018-10-23	Flora	L 0-6	22.5	884	1601	1.48%	8.88%	89.64%	-4.06	-1.9	13
2018-10-23	@ Parnu Vaprus	W 6-0	22.5	1601	884	89.64%	8.88%	1.48%	+4.06	+1.9	77
2018-10-26	Paide Linnameeskond	D 0-0	54.5	1585	1215	77.71%	15.41%	6.88%	+2.28	-4.7	80
2018-10-26	@ Nomme Kalju	D 0-0	54.5	1215	1585	6.88%	15.41%	77.71%	-2.28	+4.7	47
2018-10-27	Kuressaare	W 4-0	22.0	1602	847	91.62%	7.41%	0.96%	+4.54	+0.8	80
2018-10-27	@ Flora	L 0-4	22.0	847	1602	0.96%	7.41%	91.62%	-4.54	-0.8	18
2018-10-27	Parnu Vaprus	W 5-0	32.7	966	882	53.70%	20.18%	26.12%	+0.61	+31.4	27
2018-10-27	@ Tallinna Kalev	L 0-5	32.7	882	966	26.12%	20.18%	53.70%	-0.61	-31.4	13
2018-10-28	Levadia	L 0-3	30.5	1198	1558	8.85%	16.52%	74.63%	-1.98	-6.9	43
2018-10-28	@ Tammeka	W 3-0	30.5	1558	1198	74.63%	16.52%	8.85%	+1.98	+6.9	78
2018-10-28	Narva Trans	W 4-1	52.1	1017	1328	11.21%	17.52%	71.27%	-1.69	+39.2	29
2018-10-28	@ Tulevik Viljandi	L 1-4	52.1	1328	1017	71.27%	17.52%	11.21%	+1.69	-39.2	61
2018-11-02	Nomme Kalju	L 0-5	22.1	851	1580	1.39%	8.64%	89.97%	-4.13	-1.5	13
2018-11-02	@ Parnu Vaprus	W 5-0	22.1	1580	851	89.97%	8.64%	1.39%	+4.13	+1.5	83
2018-11-03	Flora	L 1-3	32.9	1057	1603	3.54%	12.40%	84.06%	-3.07	-1.5	29
2018-11-03	@ Tulevik Viljandi	W 3-1	32.9	1603	1057	84.06%	12.40%	3.54%	+3.07	+1.5	83
2018-11-03	Kuressaare	W 6-1	29.8	1191	846	76.31%	15.94%	7.75%	+2.14	+8.0	46
2018-11-03	@ Tammeka	L 1-6	29.8	846	1191	7.75%	15.94%	76.31%	-2.14	-8.0	18
2018-11-03	Levadia	L 1-2	42.3	1289	1565	13.21%	18.16%	68.63%	-1.49	-3.6	61
2018-11-03	@ Narva Trans	W 2-1	42.3	1565	1289	68.63%	18.16%	13.21%	+1.49	+3.6	81
2018-11-04	Tallinna Kalev	D 2-2	58.2	1220	998	67.70%	18.36%	13.94%	+1.42	-2.4	48
2018-11-04	@ Paide Linnameeskond	D 2-2	58.2	998	1220	13.94%	18.36%	67.70%	-1.42	+2.4	28
2018-11-10	Flora	W 2-1	62.3	1569	1605	37.55%	20.62%	41.83%	-0.09	+9.9	84
2018-11-10	@ Levadia	L 1-2	62.3	1605	1569	41.83%	20.62%	37.55%	+0.09	-9.9	83
2018-11-10	Narva Trans	W 4-1	38.7	1581	1285	73.22%	16.97%	9.81%	+1.85	+6.5	86
2018-11-10	@ Nomme Kalju	L 1-4	38.7	1285	1581	9.81%	16.97%	73.22%	-1.85	-6.5	61
2018-11-10	Parnu Vaprus	W 2-1	45.5	838	850	41.09%	20.62%	38.29%	+0.06	+9.2	21
2018-11-10	@ Kuressaare	L 1-2	45.5	850	838	38.29%	20.62%	41.09%	-0.06	-9.2	13
2018-11-10	Tallinna Kalev	W 2-1	38.2	1199	1000	65.73%	18.74%	15.52%	+1.29	+4.2	49
2018-11-10	@ Tammeka	L 1-2	38.2	1000	1199	15.52%	18.74%	65.73%	-1.29	-4.2	28
2018-11-10	Tulevik Viljandi	W 4-1	36.7	1217	1055	62.29%	19.30%	18.41%	+1.07	+12.0	51
2018-11-10	@ Paide Linnameeskond	L 1-4	36.7	1055	1217	18.41%	19.30%	62.29%	-1.07	-12.0	29

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	2018-08-05	6.82%	Tammeka	1199	1	@ Levadia	1570	0
2	2018-05-01	7.24%	Kuressaare	891	2	@ Tammeka	1250	1
3	2018-10-28	11.21%	@ Tulevik Viljandi	1017	4	Narva Trans	1328	1
4	2018-05-27	14.33%	@ Tallinna Kalev	957	2	Tammeka	1216	1
5	2018-10-06	15.32%	Kuressaare	831	2	@ Tulevik Viljandi	1033	1
6	2018-05-26	18.51%	Kuressaare	878	3	@ Tulevik Viljandi	1039	1
7	2018-09-22	18.75%	@ Tulevik Viljandi	1001	3	Tammeka	1202	2
8	2018-03-14	19.50%	@ Kuressaare	929	3	Tulevik Viljandi	1121	1
9	2018-08-04	22.04%	Paide Linnameeskond	1195	2	@ Narva Trans	1317	1
10	2018-07-28	24.20%	@ Tammeka	1186	2	Narva Trans	1330	1
11	2018-05-20	27.32%	Tallinna Kalev	908	4	@ Parnu Vaprus	981	0
12	2018-04-04	27.40%	@ Tallinna Kalev	910	4	Parnu Vaprus	1025	2
13	2018-03-17	29.65%	@ Tallinna Kalev	857	5	Kuressaare	953	0
14	2018-09-19	35.47%	Tulevik Viljandi	980	2	@ Tallinna Kalev	989	0
15	2018-04-28	36.09%	@ Kuressaare	880	1	Tallinna Kalev	927	0
16	2018-05-15	36.35%	@ Nomme Kalju	1540	2	Levadia	1585	1
17	2018-03-14	36.86%	@ Nomme Kalju	1489	2	Flora	1530	0
18	2018-11-10	37.55%	@ Levadia	1569	2	Flora	1605	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	2018-03-17	53.91	@ Tallinna Kalev	5	857	29.65%	Kuressaare	0	953	49.95%	20.40%
2	2018-05-20	45.66	Tallinna Kalev	4	908	27.32%	@ Parnu Vaprus	0	981	52.42%	20.26%
3	2018-10-28	39.18	@ Tulevik Viljandi	4	1017	11.21%	Narva Trans	1	1328	71.27%	17.52%
4	2018-10-27	31.44	@ Tallinna Kalev	5	966	53.70%	Parnu Vaprus	0	882	26.12%	20.18%
5	2018-08-29	26.47	@ Flora	3	1561	41.76%	Levadia	0	1568	37.62%	20.62%
6	2018-05-12	25.60	Narva Trans	6	1279	63.69%	@ Tulevik Viljandi	0	1060	17.22%	19.09%
7	2018-05-26	24.40	Kuressaare	3	878	18.51%	@ Tulevik Viljandi	1	1039	62.17%	19.31%
8	2018-03-14	23.98	@ Kuressaare	3	929	19.50%	Tulevik Viljandi	1	1121	61.04%	19.47%
9	2018-07-21	21.59	@ Tallinna Kalev	3	962	50.24%	Kuressaare	0	906	29.38%	20.38%
10	2018-10-02	21.31	Tulevik Viljandi	3	1012	50.72%	@ Parnu Vaprus	0	910	28.92%	20.36%
11	2018-09-19	20.66	Tulevik Viljandi	2	980	35.47%	@ Tallinna Kalev	0	989	43.93%	20.59%
12	2018-03-14	20.11	@ Nomme Kalju	2	1489	36.86%	Flora	0	1530	42.52%	20.61%
13	2018-06-05	18.98	@ Paide Linnameeskond	4	1173	61.86%	Tulevik Viljandi	0	1015	18.79%	19.36%
14	2018-04-04	18.61	@ Tallinna Kalev	4	910	27.40%	Parnu Vaprus	2	1025	52.33%	20.27%
15	2018-09-01	18.36	Tulevik Viljandi	4	965	49.94%	@ Kuressaare	1	869	29.66%	20.40%
16	2018-08-05	18.27	Tammeka	1	1199	6.82%	@ Levadia	0	1570	77.81%	15.37%
17	2018-04-03	17.95	@ Tammeka	5	1219	45.11%	Paide Linnameeskond	2	1202	34.32%	20.57%
18	2018-05-15	17.41	@ Narva Trans	4	1305	51.83%	Tammeka	1	1236	27.87%	20.30%
19	2018-05-01	17.10	Kuressaare	2	891	7.24%	@ Tammeka	1	1250	77.13%	15.64%
20	2018-09-22	16.90	Narva Trans	5	1310	47.60%	@ Paide Linnameeskond	2	1232	31.91%	20.49%
21	2018-03-09	15.91	@ Flora	6	1515	72.07%	Paide Linnameeskond	0	1235	10.63%	17.30%
22	2018-05-23	15.51	Parnu Vaprus	3	935	42.58%	@ Kuressaare	1	894	36.81%	20.61%
23	2018-05-27	15.15	@ Tallinna Kalev	2	957	14.33%	Tammeka	1	1216	67.21%	18.46%
24	2018-10-06	14.90	Kuressaare	2	831	15.32%	@ Tulevik Viljandi	1	1033	65.98%	18.70%
25	2018-09-29	14.41	@ Tammeka	5	1188	70.98%	Parnu Vaprus	0	924	11.42%	17.59%

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	2018-05-02	74.4	@ Flora	3	1522	40.34%	Nomme Kalju	3	1538	39.03%	20.63%
2	2018-10-07	73.5	@ Flora	2	1597	44.07%	Nomme Kalju	2	1587	35.34%	20.59%
3	2018-05-23	71.1	@ Flora	2	1528	36.14%	Levadia	2	1575	43.26%	20.60%
4	2018-04-04	70.6	@ Levadia	2	1565	48.88%	Nomme Kalju	2	1520	30.67%	20.45%
5	2018-09-02	68.1	@ Nomme Kalju	1	1582	41.82%	Flora	1	1588	37.56%	20.62%
6	2018-08-10	66.2	@ Paide Linnameeskond	3	1208	9.57%	Flora	3	1552	73.57%	16.86%
7	2018-09-15	64.6	@ Flora	2	1588	72.58%	Narva Trans	2	1301	10.26%	17.16%
8	2018-10-03	64.2	@ Levadia	0	1555	38.13%	Nomme Kalju	0	1588	41.25%	20.62%
9	2018-10-21	62.5	@ Nomme Kalju	2	1588	78.98%	Tammeka	2	1195	6.13%	14.89%
10	2018-05-06	62.4	@ Paide Linnameeskond	3	1180	35.27%	Tammeka	3	1233	44.14%	20.59%
11	2018-10-20	62.3	@ Kuressaare	3	846	26.70%	Tallinna Kalev	3	967	53.08%	20.22%
12	2018-11-10	62.3	@ Levadia	2	1569	37.55%	Flora	1	1605	41.83%	20.62%
13	2018-05-15	61.3	@ Nomme Kalju	2	1540	36.35%	Levadia	1	1585	43.05%	20.60%
14	2018-09-30	61.2	@ Tallinna Kalev	2	967	2.37%	Flora	2	1593	86.95%	10.69%
15	2018-03-10	60.8	@ Narva Trans	2	1270	17.04%	Nomme Kalju	2	1491	63.90%	19.05%
16	2018-05-23	60.7	@ Tallinna Kalev	2	953	2.75%	Nomme Kalju	2	1550	85.94%	11.31%
17	2018-04-21	59.0	@ Narva Trans	2	1280	76.96%	Tallinna Kalev	2	924	7.34%	15.70%
18	2018-05-01	58.4	@ Narva Trans	1	1270	11.07%	Levadia	1	1583	71.46%	17.47%
19	2018-11-04	58.2	@ Paide Linnameeskond	2	1220	67.70%	Tallinna Kalev	2	998	13.94%	18.36%
20	2018-03-13	58.1	@ Paide Linnameeskond	2	1219	65.10%	Parnu Vaprus	2	1027	16.05%	18.86%
21	2018-07-27	57.5	@ Tulevik Viljandi	2	991	43.69%	Tallinna Kalev	2	984	35.72%	20.59%
22	2018-09-22	57.4	@ Tulevik Viljandi	3	1001	18.75%	Tammeka	2	1202	61.90%	19.35%
23	2018-03-03	56.6	@ Levadia	1	1534	73.69%	Paide Linnameeskond	1	1231	9.49%	16.83%
24	2018-05-11	56.6	@ Tammeka	1	1233	11.21%	Nomme Kalju	1	1543	71.27%	17.52%
25	2018-07-28	56.4	@ Nomme Kalju	1	1566	40.68%	Levadia	0	1580	38.70%	20.63%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2018-10-27	22.0	@ Flora	4	1602	91.62%	Kuressaare	0	847	0.96%	7.41%
2	2018-11-02	22.1	Nomme Kalju	5	1580	89.97%	@ Parnu Vaprus	0	851	1.39%	8.64%
3	2018-09-22	22.2	Levadia	5	1547	89.46%	@ Kuressaare	0	837	1.54%	9.00%
4	2018-08-25	22.4	@ Levadia	4	1567	90.12%	Kuressaare	0	875	1.35%	8.53%
5	2018-08-10	22.5	@ Nomme Kalju	4	1571	90.07%	Kuressaare	0	880	1.36%	8.57%
6	2018-10-23	22.5	Flora	6	1601	89.64%	@ Parnu Vaprus	0	884	1.48%	8.88%
7	2018-08-25	22.9	@ Nomme Kalju	4	1579	89.21%	Parnu Vaprus	0	921	1.61%	9.18%
8	2018-08-05	23.0	Flora	4	1550	88.27%	@ Kuressaare	0	882	1.91%	9.82%
9	2018-09-19	23.1	@ Levadia	4	1545	88.06%	Parnu Vaprus	0	927	1.98%	9.96%
10	2018-03-11	23.3	@ Levadia	4	1531	87.47%	Kuressaare	0	931	2.18%	10.35%
11	2018-04-04	23.3	Flora	7	1516	87.01%	@ Kuressaare	0	888	2.34%	10.64%
12	2018-08-19	23.3	Levadia	4	1565	87.48%	@ Parnu Vaprus	0	923	2.18%	10.35%
13	2018-05-11	23.7	@ Levadia	3	1584	89.67%	Tallinna Kalev	0	909	1.47%	8.85%
14	2018-09-22	23.8	@ Flora	3	1592	89.45%	Parnu Vaprus	0	925	1.54%	9.01%
15	2018-06-05	24.0	Levadia	4	1576	86.20%	@ Tallinna Kalev	0	972	2.65%	11.15%
16	2018-07-20	24.0	@ Flora	4	1548	85.95%	Tulevik Viljandi	0	993	2.74%	11.30%
17	2018-04-21	24.1	Nomme Kalju	3	1530	87.68%	@ Kuressaare	0	882	2.11%	10.22%
18	2018-09-29	24.1	@ Nomme Kalju	4	1585	86.54%	Tulevik Viljandi	0	1014	2.52%	10.94%
19	2018-04-07	24.3	Levadia	5	1564	84.49%	@ Parnu Vaprus	0	1007	3.35%	12.16%
20	2018-04-08	24.3	@ Nomme Kalju	3	1521	87.21%	Tallinna Kalev	0	929	2.27%	10.52%
21	2018-05-05	24.3	Nomme Kalju	6	1538	84.11%	@ Parnu Vaprus	0	991	3.52%	12.38%
22	2018-09-16	24.4	Levadia	4	1542	84.55%	@ Tulevik Viljandi	0	983	3.32%	12.13%
23	2018-03-17	24.5	@ Flora	5	1510	83.11%	Parnu Vaprus	0	1029	3.97%	12.92%
24	2018-05-05	24.8	@ Levadia	5	1580	84.54%	Tulevik Viljandi	0	1064	3.33%	12.14%
25	2018-03-04	25.3	@ Nomme Kalju	7	1483	81.40%	Parnu Vaprus	0	1041	4.81%	13.79%