2019 Meistriliiga Season

180 games

Final

Champion

Flora

90 points · 12th Title

Last Title: 2017

Relegated

No relegation

Biggest Overachiever

Paide Linnameeskond

10.96 points above expected

74 points · 63.04 expected points

Biggest Disappointment

Maardu Linnameeskond

10.21 points below expected

17 points · 27.21 expected points

League Table

The final standings for the season. vsSim shows actual points minus the simulation's mean — positive means the team overachieved against the model, negative means they underperformed.

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	Flora Champion	36	29	3	4	90	110	21	+89	82.91	+7.09
2	Levadia	36	24	6	6	78	98	32	+66	81.61	-3.61
3	Nomme Kalju	36	22	11	3	77	79	34	+45	75.66	+1.34
4	Paide Linnameeskond	36	23	5	8	74	78	30	+48	63.04	+10.96
5	Tammeka	36	14	7	15	49	57	62	-5	46.75	+2.25
6	Narva Trans	36	13	9	14	48	57	49	+8	52.87	-4.87
7	Tulevik Viljandi	36	7	7	22	28	35	75	-40	32.32	-4.32
8	Tallinna Kalev	36	6	6	24	24	29	89	-60	26.63	-2.63
9	Kuressaare	36	6	5	25	23	24	87	-63	22.36	+0.64
10	Maardu Linnameeskond	36	4	5	27	17	30	118	-88	27.21	-10.21

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	Paide Linnameeskond	74	63.04	+10.96
2	Flora	90	82.91	+7.09
3	Tammeka	49	46.75	+2.25
4	Nomme Kalju	77	75.66	+1.34
5	Kuressaare	23	22.36	+0.64

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Maardu Linnameeskond	17	27.21	-10.21
2	Narva Trans	48	52.87	-4.87
3	Tulevik Viljandi	28	32.32	-4.32
4	Levadia	78	81.61	-3.61
5	Tallinna Kalev	24	26.63	-2.63

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	Aug 2 – Aug 23	1 in 80
2	Flora	10	Mar 10 – May 12	1 in 40
3	Nomme Kalju	8	Sep 17 – Oct 28	1 in 18
4	Levadia	7	Mar 9 – Apr 21	1 in 8
5	Paide Linnameeskond	4	May 4 – May 24	1 in 8

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Kuressaare	11	Jul 5 – Sep 17	1 in 89
2	Tallinna Kalev	5	Mar 9 – Apr 7	1 in 21
3	Tulevik Viljandi	6	Jun 22 – Aug 11	1 in 19
4	Tammeka	5	Mar 30 – Apr 20	1 in 12
5	Maardu Linnameeskond	6	Sep 1 – Oct 1	1 in 11

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Nomme Kalju	31	Apr 7 – Nov 2	1 in 1,728
2	Tulevik Viljandi	5	Aug 18 – Sep 14	1 in 83
3	Kuressaare	3	Apr 27 – May 10	1 in 25
4	Tammeka	6	Jun 15 – Jul 20	1 in 23
5	Tallinna Kalev	2	Apr 13 – Apr 20	1 in 10

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Narva Trans	7	May 28 – Jul 5	1 in 106
2	Tammeka	7	May 3 – Jun 15	1 in 56
3	Nomme Kalju	3	Jun 28 – Jul 19	1 in 28
4	Kuressaare	17	May 28 – Sep 17	1 in 25
5	Tulevik Viljandi	9	Jun 22 – Aug 28	1 in 16

Position Race

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

Recent Form

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

Team	Elo	Season Pts	Elo Δ (5)	Points (5)	Expected (5)	Actual − Exp
Flora	1500	90	+6	12	11.5	+0.5
Levadia	1423	78	-30	8	11.1	-3.1
Nomme Kalju	1430	77	+6	10	9.4	+0.6
Paide Linnameeskond	1330	74	-3	6	7.4	-1.4
Tammeka	1153	49	+14	10	6.0	+4.0
Narva Trans	1170	48	+28	12	9.5	+2.5
Tulevik Viljandi	908	28	-52	6	6.8	-0.8
Tallinna Kalev	911	24	+27	4	4.0	-0.0
Kuressaare	836	23	+31	3	1.8	+1.2
Maardu Linnameeskond	846	17	-25	1	3.4	-2.4

Head-to-Head

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

Beat expectations Fell short Within expectations

Team	FLO	KUR	LEV	ML	NT	NK	PL	TK	TAM	TV
Flora	—	4-0-0 10.71	3-0-1 5.93	4-0-0 10.56	3-1-0 9.47	1-1-2 6.72	3-1-0 8.22	4-0-0 10.63	3-0-1 9.62	4-0-0 10.32
Kuressaare	0-0-4 0.80	—	0-0-4 0.84	2-0-2 4.56	0-2-2 2.08	0-1-3 1.08	0-0-4 1.56	1-0-3 5.27	0-2-2 2.55	3-0-1 3.96
Levadia	1-0-3 5.32	4-0-0 10.66	—	4-0-0 10.49	4-0-0 9.19	0-2-2 6.73	2-1-1 8.38	4-0-0 10.44	2-2-0 9.44	3-1-0 10.29
Maardu Linnameeskond	0-0-4 0.93	2-0-2 6.69	0-0-4 0.99	—	0-0-4 2.47	0-0-4 1.23	0-0-4 1.71	1-2-1 5.93	1-1-2 3.23	0-2-2 4.83
Narva Trans	0-1-3 1.87	2-2-0 9.25	0-0-4 2.13	4-0-0 8.84	—	0-3-1 2.61	0-1-3 4.25	3-1-0 8.79	2-0-2 6.44	2-1-1 8.45
Nomme Kalju	2-1-1 4.53	3-1-0 10.37	2-2-0 4.52	4-0-0 10.20	1-3-0 8.69	—	2-1-1 7.73	3-1-0 10.32	2-1-1 9.16	3-1-0 10.00
Paide Linnameeskond	0-1-3 3.06	4-0-0 9.82	1-1-2 2.90	4-0-0 9.65	3-1-0 7.01	1-1-2 3.54	—	4-0-0 9.55	3-0-1 7.65	3-1-0 9.18
Tallinna Kalev	0-0-4 0.87	3-0-1 5.98	0-0-4 1.02	1-2-1 5.32	0-1-3 2.52	0-1-3 1.12	0-0-4 1.80	—	0-1-3 3.14	2-1-1 4.75
Tammeka	1-0-3 1.74	2-2-0 8.75	0-2-2 1.90	2-1-1 8.05	2-0-2 4.81	1-1-2 2.16	1-0-3 3.61	3-1-0 8.14	—	2-0-2 7.64
Tulevik Viljandi	0-0-4 1.12	1-0-3 7.30	0-1-3 1.14	2-2-0 6.41	1-1-2 2.84	0-1-3 1.40	0-1-3 2.14	1-1-2 6.50	2-0-2 3.63	—

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	+8.7
Allowed	0.91	-8.2
Differential	0.98	+4.4

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	4.44%	7.78%	5.83%	4.72%	1.94%	4.44%	29.17%
1	7.78%	7.78%	6.11%	1.94%	1.94%	1.67%	27.22%
2	5.83%	6.11%	5.56%	2.50%	0.56%	1.11%	21.67%
3	4.72%	1.94%	2.50%	—	—	0.28%	9.44%
4	1.94%	1.94%	0.56%	—	—	0.28%	4.72%
5+	4.44%	1.67%	1.11%	0.28%	0.28%	—	7.78%
Total	29.17%	27.22%	21.67%	9.44%	4.72%	7.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.66	1.66	+0.00
SD	1.77	1.77	2.82
CV	1.07	1.07	—
Max	12	12	+12
Min	0	0	-12

Games Played: 180

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	5.56%	—	—	—	—	5.56%
1	13.89%	5.56%	2.78%	2.78%	—	—	25.00%
2	11.11%	8.33%	2.78%	—	—	—	22.22%
3	13.89%	2.78%	—	—	—	—	16.67%
4	2.78%	5.56%	—	—	—	—	8.33%
5+	16.67%	2.78%	—	2.78%	—	—	22.22%
Total	58.33%	30.56%	5.56%	5.56%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	3.06	0.58	+2.47
SD	2.52	0.84	2.72
CV	0.82	1.44	—
Max	12	3	+12
Min	0	0	-2

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	16.67%	—	16.67%	5.56%	11.11%	55.56%
1	8.33%	8.33%	8.33%	—	—	2.78%	27.78%
2	2.78%	2.78%	—	2.78%	2.78%	2.78%	13.89%
3	—	—	—	—	—	—	—
4	—	2.78%	—	—	—	—	2.78%
5+	—	—	—	—	—	—	—
Total	16.67%	30.56%	8.33%	19.44%	8.33%	16.67%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.67	2.42	-1.75
SD	0.93	2.12	2.42
CV	1.39	0.88	—
Max	4	7	+3
Min	0	0	-7

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	—	—	—	—	—	2.78%
1	8.33%	13.89%	13.89%	2.78%	—	—	38.89%
2	5.56%	8.33%	—	—	—	—	13.89%
3	8.33%	8.33%	2.78%	—	—	—	19.44%
4	—	2.78%	—	—	—	—	2.78%
5+	11.11%	8.33%	2.78%	—	—	—	22.22%
Total	36.11%	41.67%	19.44%	2.78%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.72	0.89	+1.83
SD	2.11	0.82	2.47
CV	0.77	0.92	—
Max	8	3	+8
Min	0	0	-2

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	11.11%	11.11%	2.78%	2.78%	16.67%	50.00%
1	2.78%	—	2.78%	5.56%	8.33%	5.56%	25.00%
2	—	5.56%	8.33%	—	2.78%	2.78%	19.44%
3	—	—	—	—	—	2.78%	2.78%
4	—	2.78%	—	—	—	—	2.78%
5+	—	—	—	—	—	—	—
Total	8.33%	19.44%	22.22%	8.33%	13.89%	27.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.83	3.28	-2.44
SD	1.03	2.61	2.86
CV	1.23	0.80	—
Max	4	12	+3
Min	0	0	-12

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	22.22%	2.78%	—	—	—	33.33%
1	5.56%	8.33%	2.78%	2.78%	—	—	19.44%
2	5.56%	2.78%	8.33%	2.78%	—	2.78%	22.22%
3	2.78%	2.78%	5.56%	—	—	—	11.11%
4	2.78%	—	2.78%	—	—	2.78%	8.33%
5+	—	2.78%	2.78%	—	—	—	5.56%
Total	25.00%	38.89%	25.00%	5.56%	—	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.58	1.36	+0.22
SD	1.54	1.33	1.69
CV	0.97	0.98	—
Max	5	6	+4
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	—	2.78%	2.78%	—	—	16.67%
1	8.33%	11.11%	—	—	—	—	19.44%
2	5.56%	13.89%	8.33%	2.78%	—	—	30.56%
3	5.56%	—	11.11%	—	—	—	16.67%
4	2.78%	2.78%	—	—	—	—	5.56%
5+	8.33%	—	2.78%	—	—	—	11.11%
Total	41.67%	27.78%	25.00%	5.56%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.19	0.94	+1.25
SD	1.77	0.95	2.02
CV	0.81	1.01	—
Max	7	3	+6
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	8.33%	5.56%	—	—	—	16.67%
1	11.11%	8.33%	—	—	2.78%	—	22.22%
2	13.89%	8.33%	2.78%	5.56%	—	—	30.56%
3	8.33%	2.78%	—	—	—	—	11.11%
4	2.78%	2.78%	2.78%	—	—	—	8.33%
5+	8.33%	2.78%	—	—	—	—	11.11%
Total	47.22%	33.33%	11.11%	5.56%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.17	0.83	+1.33
SD	1.80	1.03	2.27
CV	0.83	1.23	—
Max	7	4	+7
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	5.56%	22.22%	5.56%	5.56%	11.11%	52.78%
1	2.78%	2.78%	5.56%	—	2.78%	5.56%	19.44%
2	2.78%	5.56%	11.11%	2.78%	—	—	22.22%
3	5.56%	—	—	—	—	—	5.56%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	13.89%	13.89%	38.89%	8.33%	8.33%	16.67%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.81	2.47	-1.67
SD	0.98	1.87	2.44
CV	1.22	0.76	—
Max	3	7	+3
Min	0	0	-7

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	2.78%	8.33%	2.78%	—	2.78%	19.44%
1	11.11%	11.11%	13.89%	2.78%	2.78%	2.78%	44.44%
2	5.56%	2.78%	5.56%	2.78%	—	—	16.67%
3	—	—	5.56%	—	—	—	5.56%
4	8.33%	—	—	—	—	—	8.33%
5+	—	—	2.78%	—	2.78%	—	5.56%
Total	27.78%	16.67%	36.11%	8.33%	5.56%	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.58	1.72	-0.14
SD	1.48	1.65	2.33
CV	0.94	0.96	—
Max	6	7	+4
Min	0	0	-7

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	5.56%	5.56%	16.67%	5.56%	2.78%	38.89%
1	5.56%	8.33%	11.11%	2.78%	2.78%	—	30.56%
2	5.56%	2.78%	8.33%	5.56%	—	2.78%	25.00%
3	2.78%	2.78%	—	—	—	—	5.56%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	16.67%	19.44%	25.00%	25.00%	8.33%	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.97	2.08	-1.11
SD	0.94	1.48	2.00
CV	0.97	0.71	—
Max	3	6	+3
Min	0	0	-6

Games Played: 36

Season Summary

Every team's regular-season finish compared against 100,000 simulations. Click any column header to sort. Luck is the team's actual points minus the sim's mean — positive means the team beat the model. Percentile is where the actual result fell in the team's sim distribution (e.g. 90% = the team did this well or better in only 10% of sims).

Team	Elo	Points	Avg	Luck	Percentile	Min	5th	Q1	Median	Q3	95th	Max
Flora	1500	90	82.91	+7.09	86.0%	63	73	77	83	88	93	99
Nomme Kalju	1430	77	75.66	+1.34	57.0%	62	64	70	76	80	85	90
Levadia	1423	78	81.61	-3.61	24.0%	68	72	79	82	85	91	96
Paide Linnameeskond	1330	74	63.04	+10.96	92.0%	48	50	58	63	66	75	81
Narva Trans	1170	48	52.87	-4.87	22.0%	31	41	50	53	57	63	72
Tammeka	1153	49	46.75	+2.25	67.0%	27	36	43	47	50	56	68
Tallinna Kalev	911	24	26.63	-2.63	38.0%	13	19	22	26	31	36	39
Tulevik Viljandi	908	28	32.32	-4.32	34.0%	19	23	27	32	37	43	46
Maardu Linnameeskond	846	17	27.21	-10.21	8.0%	13	15	23	27	31	39	48
Kuressaare	836	23	22.36	+0.64	60.0%	5	11	18	22	27	34	41

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

-1.11%

No Edge

40.56%17.78%41.67%

Elo Value

Home Edge: -3.86 Elo pts.

158 Elo

0.006 goals per Elo point

0400

Scoring Tilt

Expected

+0.21 goals

Neutral

-2-0.02+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

2.5

Top-Heavy

123410

Champion Preseason Odds

48%

Flora, 1st of 10

LongshotFavorite

Title Margin

Expected

0.33/gm

Comfortable

00.170.5/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 5.23 * Some Luck: 5.23 to 7.84 * Lucky: 7.84 to 10.46 * Wild Swing: 10.46 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 0.5 * Close: 0.5 to 0.75 * Off: 0.75 to 1.01 * Way Off: 1.01 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

5.86 points

Some Luck

06.5416

Average Finish Error

Expected

0.60

00.631.5

Biggest Overachiever

Expected 95.00%

92.00%

Paide Linnameeskond

50100

Biggest Underachiever

Expected 5.00%

8.00%

Maardu Linnameeskond

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

0.28

Even

00.270.5

Noll-Scully

Elo SD: 261.25

3.30

Wide Separation

12.733.33.75

Interquartile Edge

94%

Wide Edge

50%87.5%100%

Best vs. Worst

Baseline 99%

98%

Even

50%100%

Close Games

Expected

51%

Very Frequent

0%39%100%

Blowouts

Expected

32%

Occasional

0%39%100%

Predictability

How these are measured

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

Brier Score: How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance: How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.54 * Slight Separation: 0.54 to 0.58 * Notable Separation: 0.58 to 0.63 * Lopsided: 0.63 and up.
Strangeness: How wild the final table was versus what the model expected. A value of 1 means teams landed about one standard deviation from their projections on average. Above 1 is a stranger season; below 1 hugged the projections.
Very Predictable: under 0.8 * As Expected: 0.8 to 1.1 * Wilder Than Modeled: 1.1 to 1.4 * Chaotic: 1.4 and up.
Repeatability: How closely the final table order matched the preseason Elo order, by Spearman rank correlation. Higher means last season's ratings strongly predicted this season's finish. Shows N/A for an inaugural season.
Weak Carryover: under 0.7 * Some Carryover: 0.7 to 0.84 * Strong Carryover: 0.84 to 0.9 * Near-Lock: 0.9 and up.
Upset Rate: Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 12% * As Expected: 12% to 15% * Upset-Prone: 15% to 19% * Very Upset-Prone: 19% and up.
Clear Favorite Upset Rate: Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 9% * As Expected: 9% to 11% * Shaky Favorites: 11% to 16% * Very Shaky: 16% and up.

Brier Score

Expected

0.44

Highly Predictable

00.472

Matchup Imbalance

0.60

Notable Separation

00.5

Strangeness

Expected

0.75

Very Predictable

01.002

Repeatability

0.89

Strong Carryover

00.70.841

Upset Rate

Expected

16%

Upset-Prone

0%16%50%

Clear Favorite Upset Rate

Expected

13%

Shaky Favorites

0%13%50%

Calibration

How these are measured

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

Probability calibration: An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope: Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE): The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.11 * Near Noise Ceiling: 0.11 to 0.16 * Above Noise: 0.16 to 0.22 * Well Above Noise: 0.22 and up.

Probability calibration

0.19

Well Calibrated

0.010.050.10.51

Calibration slope

Ideal

1.20

Underconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.100

Well Within Noise

00.1080.25

Final Table Odds

Each cell is the probability — across 100,000 simulations — that the team (row) finished at that position (column). Rows are sorted by actual finish (champion at top, bottom of the table at the bottom).

Team	1	2	3	4	5	6	7	8	9	10
Flora	48.00%	33.00%	17.00%	1.00%	1.00%	—	—	—	—	—
Levadia	40.00%	37.00%	22.00%	1.00%	—	—	—	—	—	—
Nomme Kalju	12.00%	25.00%	51.00%	11.00%	1.00%	—	—	—	—	—
Paide Linnameeskond	—	4.00%	10.00%	69.00%	16.00%	1.00%	—	—	—	—
Tammeka	—	—	—	2.00%	27.00%	61.00%	8.00%	1.00%	—	1.00%
Narva Trans	—	1.00%	—	16.00%	55.00%	24.00%	3.00%	1.00%	—	—
Tulevik Viljandi	—	—	—	—	—	11.00%	44.00%	23.00%	18.00%	4.00%
Tallinna Kalev	—	—	—	—	—	—	20.00%	24.00%	42.00%	14.00%
Kuressaare	—	—	—	—	—	1.00%	12.00%	15.00%	19.00%	53.00%
Maardu Linnameeskond	—	—	—	—	—	2.00%	13.00%	36.00%	21.00%	28.00%

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	99.00%	—	1.00%
Tulevik Viljandi	78.00%	18.00%	4.00%
Tallinna Kalev	44.00%	42.00%	14.00%
Maardu Linnameeskond	51.00%	21.00%	28.00%
Kuressaare	28.00%	19.00%	53.00%

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
2019-03-08	Paide Linnameeskond	L 0-2	48.5	1382	1138	68.39%	17.39%	14.21%	+1.52	-37.2	0
2019-03-08	@ Nomme Kalju	W 2-0	48.5	1138	1382	14.21%	17.39%	68.39%	-1.52	+37.2	3
2019-03-09	Kuressaare	D 0-0	50.8	1173	882	71.87%	16.82%	11.31%	+1.82	-4.9	1
2019-03-09	@ Narva Trans	D 0-0	50.8	882	1173	11.31%	16.82%	71.87%	-1.82	+4.9	1
2019-03-09	Tallinna Kalev	W 5-1	30.4	1385	994	77.76%	15.38%	6.86%	+2.46	+7.0	3
2019-03-09	@ Levadia	L 1-5	30.4	994	1385	6.86%	15.38%	77.76%	-2.46	-7.0	0
2019-03-10	Maardu Linnameeskond	D 2-2	58.4	1122	1025	53.56%	18.61%	27.83%	+0.59	-1.3	1
2019-03-10	@ Tammeka	D 2-2	58.4	1025	1122	27.83%	18.61%	53.56%	-0.59	+1.3	1
2019-03-10	Tulevik Viljandi	W 2-0	29.3	1394	1011	77.29%	15.52%	7.19%	+2.40	+4.6	3
2019-03-10	@ Flora	L 0-2	29.3	1011	1394	7.19%	15.52%	77.29%	-2.40	-4.6	0
2019-03-16	Levadia	L 0-1	29.4	887	1392	3.84%	13.52%	82.64%	-3.23	-1.3	1
2019-03-16	@ Kuressaare	W 1-0	29.4	1392	887	82.64%	13.52%	3.84%	+3.23	+1.3	6
2019-03-16	Narva Trans	L 0-4	30.8	987	1168	19.12%	18.03%	62.85%	-1.17	-22.9	0
2019-03-16	@ Tallinna Kalev	W 4-0	30.8	1168	987	62.85%	18.03%	19.12%	+1.17	+22.9	4
2019-03-16	Tammeka	L 0-4	32.9	1007	1121	25.86%	18.52%	55.62%	-0.75	-30.1	0
2019-03-16	@ Tulevik Viljandi	W 4-0	32.9	1121	1007	55.62%	18.52%	25.86%	+0.75	+30.1	4
2019-03-17	Flora	L 0-1	34.9	1175	1398	15.71%	17.62%	66.67%	-1.44	-5.3	3
2019-03-17	@ Paide Linnameeskond	W 1-0	34.9	1398	1175	66.67%	17.62%	15.71%	+1.44	+5.3	6
2019-03-17	Nomme Kalju	L 0-5	27.2	1027	1345	9.89%	16.45%	73.66%	-2.04	-14.9	1
2019-03-17	@ Maardu Linnameeskond	W 5-0	27.2	1345	1027	73.66%	16.45%	9.89%	+2.04	+15.0	3
2019-03-30	Nomme Kalju	D 0-0	51.1	1191	1360	20.23%	18.13%	61.63%	-1.09	+3.2	5
2019-03-30	@ Narva Trans	D 0-0	51.1	1360	1191	61.63%	18.13%	20.23%	+1.09	-3.2	4
2019-03-30	Tallinna Kalev	W 2-0	32.7	1170	964	65.18%	17.80%	17.03%	+1.28	+10.8	6
2019-03-30	@ Paide Linnameeskond	L 0-2	32.7	964	1170	17.03%	17.80%	65.18%	-1.28	-10.9	0
2019-03-30	Tammeka	W 4-1	35.1	1404	1151	69.11%	17.29%	13.60%	+1.58	+10.7	9
2019-03-30	@ Flora	L 1-4	35.1	1151	1404	13.60%	17.29%	69.11%	-1.58	-10.7	4
2019-03-31	Kuressaare	L 1-2	49.8	977	886	52.90%	18.64%	28.46%	+0.55	-14.5	0
2019-03-31	@ Tulevik Viljandi	W 2-1	49.8	886	977	28.46%	18.64%	52.90%	-0.55	+14.6	4
2019-03-31	Maardu Linnameeskond	W 8-0	26.3	1394	1012	77.28%	15.53%	7.19%	+2.40	+16.9	9
2019-03-31	@ Levadia	L 0-8	26.3	1012	1394	7.19%	15.53%	77.28%	-2.40	-16.9	1
2019-04-02	Flora	L 0-3	39.1	1357	1414	32.63%	18.77%	48.60%	-0.39	-28.1	4
2019-04-02	@ Nomme Kalju	W 3-0	39.1	1414	1357	48.60%	18.77%	32.63%	+0.39	+28.1	12
2019-04-02	Paide Linnameeskond	L 0-3	36.9	1140	1181	34.86%	18.81%	46.33%	-0.28	-29.7	4
2019-04-02	@ Tammeka	W 3-0	36.9	1181	1140	46.33%	18.81%	34.86%	+0.28	+29.7	9
2019-04-03	Kuressaare	W 1-0	38.1	995	900	53.32%	18.62%	28.06%	+0.58	+9.0	4
2019-04-03	@ Maardu Linnameeskond	L 0-1	38.1	900	995	28.06%	18.62%	53.32%	-0.58	-9.0	4
2019-04-03	Levadia	L 1-2	39.5	1194	1411	16.21%	17.69%	66.09%	-1.40	-5.2	5
2019-04-03	@ Narva Trans	W 2-1	39.5	1411	1194	66.09%	17.69%	16.21%	+1.40	+5.2	12
2019-04-03	Tulevik Viljandi	L 0-2	39.7	953	962	39.29%	18.85%	41.86%	-0.08	-22.6	0
2019-04-03	@ Tallinna Kalev	W 2-0	39.7	962	953	41.86%	18.85%	39.29%	+0.08	+22.6	3
2019-04-06	Narva Trans	D 0-0	50.4	1211	1189	43.63%	18.84%	37.52%	+0.11	-0.4	10
2019-04-06	@ Paide Linnameeskond	D 0-0	50.4	1189	1211	37.52%	18.84%	43.63%	-0.11	+0.4	6
2019-04-07	Levadia	L 1-2	37.0	1110	1416	10.53%	16.63%	72.84%	-1.96	-3.4	4
2019-04-07	@ Tammeka	W 2-1	37.0	1416	1110	72.84%	16.63%	10.53%	+1.96	+3.4	15
2019-04-07	Maardu Linnameeskond	W 6-0	25.3	1442	1004	79.97%	14.63%	5.40%	+2.76	+9.5	15
2019-04-07	@ Flora	L 0-6	25.3	1004	1442	5.40%	14.63%	79.97%	-2.76	-9.5	4
2019-04-07	Nomme Kalju	L 2-3	40.3	985	1328	8.71%	16.10%	75.19%	-2.20	-2.7	3
2019-04-07	@ Tulevik Viljandi	W 3-2	40.3	1328	985	75.19%	16.10%	8.71%	+2.20	+2.7	7
2019-04-07	Tallinna Kalev	W 2-0	41.7	891	931	35.05%	18.81%	46.14%	-0.28	+25.8	7
2019-04-07	@ Kuressaare	L 0-2	41.7	931	891	46.14%	18.81%	35.05%	+0.28	-25.8	0
2019-04-13	Flora	L 0-1	34.4	1189	1452	12.99%	17.17%	69.83%	-1.69	-4.4	6
2019-04-13	@ Narva Trans	W 1-0	34.4	1452	1189	69.83%	17.17%	12.99%	+1.69	+4.5	18
2019-04-13	Maardu Linnameeskond	W 2-0	43.6	905	994	28.69%	18.65%	52.66%	-0.59	+29.0	3
2019-04-13	@ Tallinna Kalev	L 0-2	43.6	994	905	52.66%	18.65%	28.69%	+0.59	-29.0	4
2019-04-13	Tulevik Viljandi	W 5-2	34.6	1419	982	79.89%	14.66%	5.45%	+2.75	+3.7	18
2019-04-13	@ Levadia	L 2-5	34.6	982	1419	5.45%	14.66%	79.89%	-2.75	-3.7	3
2019-04-14	Paide Linnameeskond	L 0-1	32.5	917	1210	11.18%	16.79%	72.02%	-1.88	-3.8	7
2019-04-14	@ Kuressaare	W 1-0	32.5	1210	917	72.02%	16.79%	11.18%	+1.88	+3.8	13
2019-04-14	Tammeka	W 2-0	32.5	1331	1107	66.79%	17.61%	15.60%	+1.40	+10.0	10
2019-04-14	@ Nomme Kalju	L 0-2	32.5	1107	1331	15.60%	17.61%	66.79%	-1.40	-10.0	4
2019-04-20	Narva Trans	L 1-2	42.6	1097	1185	28.82%	18.65%	52.53%	-0.58	-8.7	4
2019-04-20	@ Tammeka	W 2-1	42.6	1185	1097	52.53%	18.65%	28.82%	+0.58	+8.7	9
2019-04-20	Tallinna Kalev	D 2-2	59.5	1341	934	78.53%	15.13%	6.33%	+2.56	-3.9	11
2019-04-20	@ Nomme Kalju	D 2-2	59.5	934	1341	6.33%	15.13%	78.53%	-2.56	+3.9	4
2019-04-20	Tulevik Viljandi	D 0-0	50.2	965	978	38.69%	18.85%	42.46%	-0.11	+0.3	5
2019-04-20	@ Maardu Linnameeskond	D 0-0	50.2	978	965	42.46%	18.85%	38.69%	+0.11	-0.3	4
2019-04-21	Kuressaare	W 5-0	24.1	1456	913	83.96%	12.88%	3.16%	+3.42	+4.5	21
2019-04-21	@ Flora	L 0-5	24.1	913	1456	3.16%	12.88%	83.96%	-3.42	-4.6	7
2019-04-21	Levadia	L 0-2	33.8	1214	1423	16.80%	17.77%	65.44%	-1.35	-10.7	13
2019-04-21	@ Paide Linnameeskond	W 2-0	33.8	1423	1214	65.44%	17.77%	16.80%	+1.35	+10.7	21
2019-04-27	Narva Trans	L 0-1	34.0	966	1194	15.32%	17.57%	67.12%	-1.47	-5.2	5
2019-04-27	@ Maardu Linnameeskond	W 1-0	34.0	1194	966	67.12%	17.57%	15.32%	+1.47	+5.2	12
2019-04-27	Nomme Kalju	D 0-0	51.5	909	1337	5.68%	14.79%	79.53%	-2.74	+6.0	8
2019-04-27	@ Kuressaare	D 0-0	51.5	1337	909	79.53%	14.79%	5.68%	+2.74	-6.0	12
2019-04-27	Tammeka	L 0-4	31.7	938	1088	22.00%	18.28%	59.72%	-0.98	-26.0	4
2019-04-27	@ Tallinna Kalev	W 4-0	31.7	1088	938	59.72%	18.28%	22.00%	+0.98	+26.0	7
2019-04-28	Flora	L 1-2	51.2	1433	1461	36.69%	18.83%	44.47%	-0.20	-10.7	21
2019-04-28	@ Levadia	W 2-1	51.2	1461	1433	44.47%	18.83%	36.69%	+0.20	+10.7	24
2019-04-28	Paide Linnameeskond	D 2-2	58.7	978	1203	15.55%	17.60%	66.85%	-1.45	+2.7	5
2019-04-28	@ Tulevik Viljandi	D 2-2	58.7	1203	978	66.85%	17.60%	15.55%	+1.45	-2.7	14
2019-05-03	Kuressaare	D 1-1	54.0	1114	915	64.60%	17.86%	17.54%	+1.24	-3.3	8
2019-05-03	@ Tammeka	D 1-1	54.0	915	1114	17.54%	17.86%	64.60%	-1.24	+3.3	9
2019-05-03	Tallinna Kalev	W 6-0	23.8	1472	912	84.50%	12.60%	2.90%	+3.52	+4.9	27
2019-05-03	@ Flora	L 0-6	23.8	912	1472	2.90%	12.60%	84.50%	-3.52	-4.9	4
2019-05-04	Maardu Linnameeskond	W 2-0	31.9	1201	960	68.10%	17.43%	14.46%	+1.50	+9.3	17
2019-05-04	@ Paide Linnameeskond	L 0-2	31.9	960	1201	14.46%	17.43%	68.10%	-1.50	-9.3	5
2019-05-04	Tulevik Viljandi	L 0-1	49.3	1199	981	66.25%	17.67%	16.08%	+1.36	-19.1	12
2019-05-04	@ Narva Trans	W 1-0	49.3	981	1199	16.08%	17.67%	66.25%	-1.36	+19.1	8
2019-05-05	Levadia	W 2-1	52.5	1331	1423	28.42%	18.64%	52.94%	-0.60	+14.6	15
2019-05-05	@ Nomme Kalju	L 1-2	52.5	1423	1331	52.94%	18.64%	28.42%	+0.60	-14.6	21
2019-05-10	Maardu Linnameeskond	W 1-0	43.3	918	951	35.91%	18.83%	45.26%	-0.23	+13.4	12
2019-05-10	@ Kuressaare	L 0-1	43.3	951	918	45.26%	18.83%	35.91%	+0.23	-13.5	5
2019-05-11	Paide Linnameeskond	L 0-1	40.8	1180	1210	36.35%	18.83%	44.82%	-0.21	-11.2	12
2019-05-11	@ Narva Trans	W 1-0	40.8	1210	1180	44.82%	18.83%	36.35%	+0.21	+11.2	20
2019-05-11	Tammeka	W 7-0	27.9	1408	1111	72.31%	16.74%	10.96%	+1.86	+22.8	24
2019-05-11	@ Levadia	L 0-7	27.9	1111	1408	10.96%	16.74%	72.31%	-1.86	-22.8	8
2019-05-12	Flora	L 1-3	32.7	1000	1477	4.45%	14.01%	81.54%	-3.05	-2.4	8
2019-05-12	@ Tulevik Viljandi	W 3-1	32.7	1477	1000	81.54%	14.01%	4.45%	+3.05	+2.4	30
2019-05-12	Nomme Kalju	L 0-1	30.2	907	1346	5.39%	14.62%	79.98%	-2.81	-1.8	4
2019-05-12	@ Tallinna Kalev	W 1-0	30.2	1346	907	79.98%	14.62%	5.39%	+2.81	+1.8	18
2019-05-17	Kuressaare	W 3-2	39.2	1348	931	78.96%	14.99%	6.05%	+2.61	+1.8	21
2019-05-17	@ Nomme Kalju	L 2-3	39.2	931	1348	6.05%	14.99%	78.96%	-2.61	-1.8	12
2019-05-17	Levadia	L 0-3	27.0	998	1431	5.55%	14.72%	79.74%	-2.77	-5.1	8
2019-05-17	@ Tulevik Viljandi	W 3-0	27.0	1431	998	79.74%	14.72%	5.55%	+2.77	+5.1	27
2019-05-18	Narva Trans	D 2-2	60.3	1479	1169	73.16%	16.56%	10.28%	+1.94	-3.4	31
2019-05-18	@ Flora	D 2-2	60.3	1169	1479	10.28%	16.56%	73.16%	-1.94	+3.4	13
2019-05-18	Tammeka	W 2-1	41.1	1221	1088	57.83%	18.40%	23.77%	+0.82	+7.4	23
2019-05-18	@ Paide Linnameeskond	L 1-2	41.1	1088	1221	23.77%	18.40%	57.83%	-0.82	-7.3	8
2019-05-19	Tallinna Kalev	D 0-0	50.2	938	905	45.18%	18.83%	36.00%	+0.18	-0.7	6
2019-05-19	@ Maardu Linnameeskond	D 0-0	50.2	905	938	36.00%	18.83%	45.18%	-0.18	+0.7	5
2019-05-21	Nomme Kalju	D 0-0	53.6	1436	1349	52.33%	18.66%	29.01%	+0.52	-1.7	28
2019-05-21	@ Levadia	D 0-0	53.6	1349	1436	29.01%	18.66%	52.33%	-0.52	+1.7	22
2019-05-22	Flora	L 0-2	29.6	1081	1476	6.74%	15.33%	77.93%	-2.53	-4.3	8
2019-05-22	@ Tammeka	W 2-0	29.6	1476	1081	77.93%	15.33%	6.74%	+2.53	+4.3	34
2019-05-22	Maardu Linnameeskond	W 5-1	33.3	1172	937	67.68%	17.49%	14.83%	+1.47	+15.0	16
2019-05-22	@ Narva Trans	L 1-5	33.3	937	1172	14.83%	17.49%	67.68%	-1.47	-15.0	6
2019-05-24	Paide Linnameeskond	L 0-3	28.5	906	1228	9.67%	16.39%	73.94%	-2.07	-9.1	5
2019-05-24	@ Tallinna Kalev	W 3-0	28.5	1228	906	73.94%	16.39%	9.67%	+2.07	+9.1	26
2019-05-24	Tulevik Viljandi	W 1-0	44.5	929	992	31.96%	18.75%	49.29%	-0.42	+14.5	15
2019-05-24	@ Kuressaare	L 0-1	44.5	992	929	49.29%	18.75%	31.96%	+0.42	-14.5	8
2019-05-28	Kuressaare	W 3-0	40.5	897	944	34.00%	18.80%	47.20%	-0.32	+38.2	8
2019-05-28	@ Tallinna Kalev	L 0-3	40.5	944	897	47.20%	18.80%	34.00%	+0.32	-38.2	15
2019-05-28	Narva Trans	D 1-1	54.1	978	1187	16.78%	17.76%	65.46%	-1.35	+3.4	9
2019-05-28	@ Tulevik Viljandi	D 1-1	54.1	1187	978	65.46%	17.76%	16.78%	+1.35	-3.4	17
2019-05-28	Nomme Kalju	L 0-2	36.4	1237	1351	25.86%	18.52%	55.62%	-0.75	-15.8	26
2019-05-28	@ Paide Linnameeskond	W 2-0	36.4	1351	1237	55.62%	18.52%	25.86%	+0.75	+15.8	25
2019-05-28	Tammeka	W 2-1	51.8	922	1076	21.59%	18.25%	60.17%	-1.00	+16.4	9
2019-05-28	@ Maardu Linnameeskond	L 1-2	51.8	1076	922	60.17%	18.25%	21.59%	+1.00	-16.4	8
2019-05-29	Levadia	L 1-3	53.4	1480	1434	46.96%	18.80%	34.24%	+0.26	-22.7	34
2019-05-29	@ Flora	W 3-1	53.4	1434	1480	34.24%	18.80%	46.96%	-0.26	+22.7	31
2019-05-31	Tallinna Kalev	D 2-2	58.8	1184	935	68.78%	17.34%	13.88%	+1.55	-2.9	18
2019-05-31	@ Narva Trans	D 2-2	58.8	935	1184	13.88%	17.34%	68.78%	-1.55	+2.9	9
2019-06-01	Maardu Linnameeskond	W 6-0	25.2	1367	938	79.53%	14.79%	5.68%	+2.69	+10.0	28
2019-06-01	@ Nomme Kalju	L 0-6	25.2	938	1367	5.68%	14.79%	79.53%	-2.69	-10.0	9
2019-06-01	Tulevik Viljandi	L 0-1	45.1	1060	981	51.31%	18.69%	29.99%	+0.47	-15.0	8
2019-06-01	@ Tammeka	W 1-0	45.1	981	1060	29.99%	18.69%	51.31%	-0.47	+15.0	12
2019-06-02	Flora	L 0-4	24.5	906	1457	3.03%	12.74%	84.23%	-3.52	-3.5	15
2019-06-02	@ Kuressaare	W 4-0	24.5	1457	906	84.23%	12.74%	3.03%	+3.52	+3.5	37
2019-06-02	Paide Linnameeskond	D 1-1	55.8	1457	1222	67.71%	17.49%	14.80%	+1.47	-3.7	32
2019-06-02	@ Levadia	D 1-1	55.8	1222	1457	14.80%	17.49%	67.71%	-1.47	+3.7	27
2019-06-14	Levadia	L 1-6	27.6	938	1453	3.65%	13.35%	83.00%	-3.29	-4.4	9
2019-06-14	@ Tallinna Kalev	W 6-1	27.6	1453	938	83.00%	13.35%	3.65%	+3.29	+4.4	35
2019-06-14	Tulevik Viljandi	W 6-0	28.9	1225	996	67.18%	17.56%	15.26%	+1.43	+27.2	30
2019-06-14	@ Paide Linnameeskond	L 0-6	28.9	996	1225	15.26%	17.56%	67.18%	-1.43	-27.2	12
2019-06-15	Flora	L 3-8	29.9	928	1461	3.34%	13.06%	83.59%	-3.40	-3.0	9
2019-06-15	@ Maardu Linnameeskond	W 8-3	29.9	1461	928	83.59%	13.06%	3.34%	+3.40	+3.0	40
2019-06-15	Narva Trans	W 3-2	44.2	1377	1181	64.31%	17.89%	17.80%	+1.22	+5.4	31
2019-06-15	@ Nomme Kalju	L 2-3	44.2	1181	1377	17.80%	17.89%	64.31%	-1.22	-5.4	18
2019-06-15	Tammeka	D 1-1	53.9	902	1045	22.76%	18.34%	58.91%	-0.93	+2.5	16
2019-06-15	@ Kuressaare	D 1-1	53.9	1045	902	58.91%	18.34%	22.76%	+0.93	-2.5	9
2019-06-18	Maardu Linnameeskond	W 2-0	38.2	969	925	46.75%	18.80%	34.44%	+0.25	+20.2	15
2019-06-18	@ Tulevik Viljandi	L 0-2	38.2	925	969	34.44%	18.80%	46.75%	-0.25	-20.2	9
2019-06-18	Nomme Kalju	L 0-1	50.0	1464	1382	51.66%	18.68%	29.65%	+0.49	-15.1	40
2019-06-18	@ Flora	W 1-0	50.0	1382	1464	29.65%	18.68%	51.66%	-0.49	+15.1	34
2019-06-18	Tallinna Kalev	W 2-0	35.7	1042	933	55.08%	18.55%	26.37%	+0.67	+16.1	12
2019-06-18	@ Tammeka	L 0-2	35.7	933	1042	26.37%	18.55%	55.08%	-0.67	-16.1	9
2019-06-19	Kuressaare	W 7-0	26.5	1253	905	75.43%	16.03%	8.53%	+2.18	+17.7	33
2019-06-19	@ Paide Linnameeskond	L 0-7	26.5	905	1253	8.53%	16.03%	75.43%	-2.18	-17.7	16
2019-06-19	Narva Trans	W 2-0	32.1	1458	1175	71.28%	16.93%	11.79%	+1.77	+7.6	38
2019-06-19	@ Levadia	L 0-2	32.1	1175	1458	11.79%	16.93%	71.28%	-1.77	-7.6	18
2019-06-21	Flora	L 0-2	27.4	917	1449	3.36%	13.08%	83.56%	-3.39	-2.1	9
2019-06-21	@ Tallinna Kalev	W 2-0	27.4	1449	917	83.56%	13.08%	3.36%	+3.39	+2.1	43
2019-06-22	Kuressaare	W 5-0	23.7	1465	887	85.08%	12.28%	2.64%	+3.64	+3.8	41
2019-06-22	@ Levadia	L 0-5	23.7	887	1465	2.64%	12.28%	85.08%	-3.64	-3.8	16
2019-06-22	Paide Linnameeskond	L 1-4	32.3	905	1270	7.82%	15.78%	76.40%	-2.34	-6.2	9
2019-06-22	@ Maardu Linnameeskond	W 4-1	32.3	1270	905	76.40%	15.78%	7.82%	+2.34	+6.2	36
2019-06-22	Tammeka	L 2-5	50.5	1168	1059	55.07%	18.55%	26.38%	+0.67	-32.0	18
2019-06-22	@ Narva Trans	W 5-2	50.5	1059	1168	26.38%	18.55%	55.07%	-0.67	+32.0	15
2019-06-22	Tulevik Viljandi	W 2-1	34.9	1398	989	78.57%	15.12%	6.31%	+2.56	+2.0	37
2019-06-22	@ Nomme Kalju	L 1-2	34.9	989	1398	6.31%	15.12%	78.57%	-2.56	-2.0	15
2019-06-28	Nomme Kalju	D 0-0	51.3	1091	1400	10.35%	16.58%	73.07%	-1.98	+5.0	16
2019-06-28	@ Tammeka	D 0-0	51.3	1400	1091	73.07%	16.58%	10.35%	+1.98	-5.0	38
2019-06-29	Levadia	L 1-6	27.0	899	1469	2.75%	12.42%	84.83%	-3.64	-3.2	9
2019-06-29	@ Maardu Linnameeskond	W 6-1	27.0	1469	899	84.83%	12.42%	2.75%	+3.64	+3.2	44
2019-06-29	Narva Trans	D 1-1	54.2	883	1136	13.64%	17.29%	69.07%	-1.62	+3.9	17
2019-06-29	@ Kuressaare	D 1-1	54.2	1136	883	69.07%	17.29%	13.64%	+1.62	-3.9	19
2019-06-30	Paide Linnameeskond	W 4-1	38.8	1451	1276	62.19%	18.09%	19.72%	+1.08	+15.2	46
2019-06-30	@ Flora	L 1-4	38.8	1276	1451	19.72%	18.09%	62.19%	-1.08	-15.2	36
2019-06-30	Tallinna Kalev	L 1-2	49.1	987	915	50.51%	18.72%	30.77%	+0.43	-14.0	15
2019-06-30	@ Tulevik Viljandi	W 2-1	49.1	915	987	30.77%	18.72%	50.51%	-0.43	+14.0	12
2019-07-05	Kuressaare	W 6-1	29.3	1261	887	76.87%	15.65%	7.49%	+2.35	+9.3	39
2019-07-05	@ Paide Linnameeskond	L 1-6	29.3	887	1261	7.49%	15.65%	76.87%	-2.35	-9.3	17
2019-07-05	Nomme Kalju	D 1-1	54.8	1132	1395	12.97%	17.17%	69.86%	-1.69	+4.1	20
2019-07-05	@ Narva Trans	D 1-1	54.8	1395	1132	69.86%	17.17%	12.97%	+1.69	-4.0	39
2019-07-06	Flora	L 1-2	54.1	1472	1466	41.48%	18.85%	39.67%	+0.02	-11.8	44
2019-07-06	@ Levadia	W 2-1	54.1	1466	1472	39.67%	18.85%	41.48%	-0.02	+11.8	49
2019-07-06	Tammeka	L 0-1	37.1	973	1096	24.92%	18.47%	56.60%	-0.80	-8.1	15
2019-07-06	@ Tulevik Viljandi	W 1-0	37.1	1096	973	56.60%	18.47%	24.92%	+0.80	+8.1	19
2019-07-07	Maardu Linnameeskond	L 1-4	44.4	929	896	45.31%	18.82%	35.86%	+0.19	-31.1	12
2019-07-07	@ Tallinna Kalev	W 4-1	44.4	896	929	35.86%	18.82%	45.31%	-0.19	+31.1	12
2019-07-19	Paide Linnameeskond	D 1-1	55.3	1390	1271	56.34%	18.49%	25.17%	+0.74	-2.1	40
2019-07-19	@ Nomme Kalju	D 1-1	55.3	1271	1390	25.17%	18.49%	56.34%	-0.74	+2.1	40
2019-07-20	Tallinna Kalev	D 2-2	58.6	1104	898	65.17%	17.80%	17.03%	+1.28	-2.5	20
2019-07-20	@ Tammeka	D 2-2	58.6	898	1104	17.03%	17.80%	65.17%	-1.28	+2.5	13
2019-07-21	Levadia	L 0-3	25.2	878	1461	2.58%	12.21%	85.21%	-3.72	-2.3	17
2019-07-21	@ Kuressaare	W 3-0	25.2	1461	878	85.21%	12.21%	2.58%	+3.72	+2.3	47
2019-07-21	Maardu Linnameeskond	W 3-0	25.6	1478	927	84.22%	12.75%	3.04%	+3.47	+2.7	52
2019-07-21	@ Flora	L 0-3	25.6	927	1478	3.04%	12.75%	84.22%	-3.47	-2.7	12
2019-07-21	Tulevik Viljandi	W 3-2	44.3	1136	965	61.80%	18.12%	20.08%	+1.06	+6.0	23
2019-07-21	@ Narva Trans	L 2-3	44.3	965	1136	20.08%	18.12%	61.80%	-1.06	-6.0	15
2019-07-26	Tammeka	W 2-0	33.9	1273	1101	61.89%	18.11%	20.00%	+1.06	+12.6	43
2019-07-26	@ Paide Linnameeskond	L 0-2	33.9	1101	1273	20.00%	18.11%	61.89%	-1.06	-12.6	20
2019-07-27	Narva Trans	L 1-3	37.0	924	1142	16.09%	17.68%	66.23%	-1.41	-8.9	12
2019-07-27	@ Maardu Linnameeskond	W 3-1	37.0	1142	924	66.23%	17.68%	16.09%	+1.41	+8.9	26
2019-07-28	Levadia	L 0-3	26.2	959	1463	3.88%	13.56%	82.56%	-3.22	-3.5	15
2019-07-28	@ Tulevik Viljandi	W 3-0	26.2	1463	959	82.56%	13.56%	3.88%	+3.22	+3.5	50
2019-08-02	Maardu Linnameeskond	W 2-0	33.6	1089	915	62.13%	18.09%	19.78%	+1.08	+12.5	23
2019-08-02	@ Tammeka	L 0-2	33.6	915	1089	19.78%	18.09%	62.13%	-1.08	-12.5	12
2019-08-03	Kuressaare	W 7-2	29.2	1388	876	82.90%	13.40%	3.70%	+3.23	+3.7	43
2019-08-03	@ Nomme Kalju	L 2-7	29.2	876	1388	3.70%	13.40%	82.90%	-3.23	-3.7	17
2019-08-03	Narva Trans	W 1-0	37.0	1285	1151	58.00%	18.39%	23.60%	+0.83	+7.8	46
2019-08-03	@ Paide Linnameeskond	L 0-1	37.0	1151	1285	23.60%	18.39%	58.00%	-0.83	-7.8	26
2019-08-03	Tallinna Kalev	W 7-0	23.9	1466	900	84.69%	12.50%	2.81%	+3.56	+5.5	53
2019-08-03	@ Levadia	L 0-7	23.9	900	1466	2.81%	12.50%	84.69%	-3.56	-5.5	13
2019-08-09	Tallinna Kalev	L 0-1	40.9	872	895	37.30%	18.84%	43.86%	-0.17	-11.5	17
2019-08-09	@ Kuressaare	W 1-0	40.9	895	872	43.86%	18.84%	37.30%	+0.17	+11.5	16
2019-08-09	Tammeka	L 0-1	52.7	1480	1101	77.14%	15.57%	7.29%	+2.38	-22.1	52
2019-08-09	@ Flora	W 1-0	52.7	1101	1480	7.29%	15.57%	77.14%	-2.38	+22.1	26
2019-08-10	Levadia	L 1-3	35.6	1143	1472	9.38%	16.31%	74.32%	-2.11	-5.2	26
2019-08-10	@ Narva Trans	W 3-1	35.6	1472	1143	74.32%	16.31%	9.38%	+2.11	+5.2	56
2019-08-11	Paide Linnameeskond	L 1-2	35.9	956	1293	9.00%	16.19%	74.81%	-2.16	-2.9	15
2019-08-11	@ Tulevik Viljandi	W 2-1	35.9	1293	956	74.81%	16.19%	9.00%	+2.16	+2.9	49
2019-08-13	Flora	L 0-3	25.1	860	1458	2.38%	11.95%	85.67%	-3.82	-2.1	17
2019-08-13	@ Kuressaare	W 3-0	25.1	1458	860	85.67%	11.95%	2.38%	+3.82	+2.1	55
2019-08-16	Flora	L 0-2	27.1	906	1461	2.99%	12.70%	84.31%	-3.54	-1.8	16
2019-08-16	@ Tallinna Kalev	W 2-0	27.1	1461	906	84.31%	12.70%	2.99%	+3.54	+1.8	58
2019-08-16	Narva Trans	W 6-4	52.9	1123	1138	38.52%	18.85%	42.63%	-0.12	+17.1	29
2019-08-16	@ Tammeka	L 4-6	52.9	1138	1123	42.63%	18.85%	38.52%	+0.12	-17.0	26
2019-08-17	Kuressaare	W 2-1	44.3	903	858	46.79%	18.80%	34.41%	+0.26	+10.1	15
2019-08-17	@ Maardu Linnameeskond	L 1-2	44.3	858	903	34.41%	18.80%	46.79%	-0.26	-10.1	17
2019-08-17	Paide Linnameeskond	W 3-2	47.0	1477	1296	62.86%	18.03%	19.11%	+1.12	+5.7	59
2019-08-17	@ Levadia	L 2-3	47.0	1296	1477	19.11%	18.03%	62.86%	-1.12	-5.7	49
2019-08-18	Tulevik Viljandi	D 2-2	59.7	1392	953	79.99%	14.62%	5.39%	+2.76	-4.0	44
2019-08-18	@ Nomme Kalju	D 2-2	59.7	953	1392	5.39%	14.62%	79.99%	-2.76	+4.0	16
2019-08-23	Tammeka	L 0-1	32.5	848	1140	11.24%	16.80%	71.96%	-1.88	-3.9	17
2019-08-23	@ Kuressaare	W 1-0	32.5	1140	848	71.96%	16.80%	11.24%	+1.88	+3.9	32
2019-08-24	Flora	L 0-1	32.4	1121	1462	8.80%	16.12%	75.08%	-2.19	-3.0	26
2019-08-24	@ Narva Trans	W 1-0	32.4	1462	1121	75.08%	16.12%	8.80%	+2.19	+3.0	61
2019-08-24	Levadia	W 2-1	55.4	1388	1483	28.04%	18.62%	53.33%	-0.62	+14.7	47
2019-08-24	@ Nomme Kalju	L 1-2	55.4	1483	1388	53.33%	18.62%	28.04%	+0.62	-14.7	59
2019-08-25	Maardu Linnameeskond	W 5-0	26.0	1290	913	77.05%	15.59%	7.36%	+2.37	+11.1	52
2019-08-25	@ Paide Linnameeskond	L 0-5	26.0	913	1290	7.36%	15.59%	77.05%	-2.37	-11.1	15
2019-08-25	Tallinna Kalev	D 1-1	53.7	957	905	47.88%	18.78%	33.34%	+0.31	-0.9	17
2019-08-25	@ Tulevik Viljandi	D 1-1	53.7	905	957	33.34%	18.78%	47.88%	-0.31	+0.9	17
2019-08-27	Levadia	D 1-1	55.5	1144	1468	9.61%	16.38%	74.02%	-2.08	+4.6	33
2019-08-27	@ Tammeka	D 1-1	55.5	1468	1144	74.02%	16.38%	9.61%	+2.08	-4.6	60
2019-08-28	Kuressaare	W 4-2	39.6	1118	844	70.63%	17.04%	12.33%	+1.71	+6.2	29
2019-08-28	@ Narva Trans	L 2-4	39.6	844	1118	12.33%	17.04%	70.63%	-1.71	-6.2	17
2019-08-28	Nomme Kalju	D 1-1	59.2	1465	1403	49.24%	18.75%	32.01%	+0.37	-1.1	62
2019-08-28	@ Flora	D 1-1	59.2	1403	1465	32.01%	18.75%	49.24%	-0.37	+1.1	48
2019-08-28	Paide Linnameeskond	L 0-2	28.9	906	1301	6.71%	15.31%	77.97%	-2.53	-4.3	17
2019-08-28	@ Tallinna Kalev	W 2-0	28.9	1301	906	77.97%	15.31%	6.71%	+2.53	+4.3	55
2019-08-28	Tulevik Viljandi	D 2-2	58.3	902	956	33.07%	18.78%	48.15%	-0.37	+0.7	16
2019-08-28	@ Maardu Linnameeskond	D 2-2	58.3	956	902	48.15%	18.78%	33.07%	+0.37	-0.7	18
2019-08-31	Narva Trans	L 0-3	30.7	901	1124	15.74%	17.63%	66.63%	-1.44	-14.6	17
2019-08-31	@ Tallinna Kalev	W 3-0	30.7	1124	901	66.63%	17.63%	15.74%	+1.44	+14.6	32
2019-08-31	Nomme Kalju	L 1-2	38.2	1149	1404	13.47%	17.26%	69.27%	-1.64	-4.3	33
2019-08-31	@ Tammeka	W 2-1	38.2	1404	1149	69.27%	17.26%	13.47%	+1.64	+4.3	51
2019-09-01	Flora	D 1-1	56.9	1306	1464	21.19%	18.22%	60.60%	-1.03	+2.7	56
2019-09-01	@ Paide Linnameeskond	D 1-1	56.9	1464	1306	60.60%	18.22%	21.19%	+1.03	-2.7	63
2019-09-01	Kuressaare	W 3-0	33.9	955	838	56.02%	18.50%	25.48%	+0.72	+22.7	21
2019-09-01	@ Tulevik Viljandi	L 0-3	33.9	838	955	25.48%	18.50%	56.02%	-0.72	-22.7	17
2019-09-01	Maardu Linnameeskond	W 3-1	31.6	1464	902	84.54%	12.58%	2.88%	+3.53	+1.5	63
2019-09-01	@ Levadia	L 1-3	31.6	902	1464	2.88%	12.58%	84.54%	-3.53	-1.5	16
2019-09-13	Tallinna Kalev	W 5-0	23.7	1462	887	84.97%	12.34%	2.69%	+3.62	+3.8	66
2019-09-13	@ Flora	L 0-5	23.7	887	1462	2.69%	12.34%	84.97%	-3.62	-3.8	17
2019-09-14	Narva Trans	D 2-2	59.5	1408	1138	70.38%	17.09%	12.54%	+1.69	-3.1	52
2019-09-14	@ Nomme Kalju	D 2-2	59.5	1138	1408	12.54%	17.09%	70.38%	-1.69	+3.1	33
2019-09-14	Paide Linnameeskond	L 0-3	26.0	815	1308	4.10%	13.73%	82.17%	-3.15	-3.7	17
2019-09-14	@ Kuressaare	W 3-0	26.0	1308	815	82.17%	13.73%	4.10%	+3.15	+3.7	59
2019-09-14	Tulevik Viljandi	D 1-1	55.5	1465	978	81.95%	13.83%	4.22%	+3.06	-5.6	64
2019-09-14	@ Levadia	D 1-1	55.5	978	1465	4.22%	13.83%	81.95%	-3.06	+5.6	22
2019-09-15	Tammeka	L 0-1	33.6	901	1144	14.23%	17.39%	68.38%	-1.57	-4.8	16
2019-09-15	@ Maardu Linnameeskond	W 1-0	33.6	1144	901	68.38%	17.39%	14.23%	+1.57	+4.8	36
2019-09-17	Kuressaare	W 2-1	43.2	883	812	50.35%	18.72%	30.93%	+0.43	+9.2	20
2019-09-17	@ Tallinna Kalev	L 1-2	43.2	812	883	30.93%	18.72%	50.35%	-0.43	-9.2	17
2019-09-17	Nomme Kalju	L 0-3	27.1	984	1405	5.89%	14.91%	79.20%	-2.70	-5.5	22
2019-09-17	@ Tulevik Viljandi	W 3-0	27.1	1405	984	79.20%	14.91%	5.89%	+2.70	+5.5	55
2019-09-18	Levadia	W 2-1	53.1	1465	1459	41.42%	18.85%	39.73%	+0.01	+11.4	69
2019-09-18	@ Flora	L 1-2	53.1	1459	1465	39.73%	18.85%	41.42%	-0.01	-11.4	64
2019-09-18	Paide Linnameeskond	L 2-4	37.2	896	1312	6.06%	14.99%	78.95%	-2.66	-3.0	16
2019-09-18	@ Maardu Linnameeskond	W 4-2	37.2	1312	896	78.95%	14.99%	6.06%	+2.66	+3.0	62
2019-09-18	Tammeka	W 3-2	51.1	1141	1149	39.45%	18.85%	41.70%	-0.07	+11.2	36
2019-09-18	@ Narva Trans	L 2-3	51.1	1149	1141	41.70%	18.85%	39.45%	+0.07	-11.2	36
2019-09-21	Narva Trans	W 1-0	33.4	1448	1153	72.17%	16.76%	11.07%	+1.85	+3.8	67
2019-09-21	@ Levadia	L 0-1	33.4	1153	1448	11.07%	16.76%	72.17%	-1.85	-3.8	36
2019-09-21	Tallinna Kalev	W 6-0	24.2	1411	892	83.11%	13.30%	3.59%	+3.26	+6.2	58
2019-09-21	@ Nomme Kalju	L 0-6	24.2	892	1411	3.59%	13.30%	83.11%	-3.26	-6.2	20
2019-09-21	Tulevik Viljandi	W 4-0	27.3	1315	978	74.79%	16.19%	9.02%	+2.11	+11.1	65
2019-09-21	@ Paide Linnameeskond	L 0-4	27.3	978	1315	9.02%	16.19%	74.79%	-2.11	-11.1	22
2019-09-22	Flora	L 1-6	30.9	1138	1477	8.94%	16.17%	74.90%	-2.17	-11.2	36
2019-09-22	@ Tammeka	W 6-1	30.9	1477	1138	74.90%	16.17%	8.94%	+2.17	+11.2	72
2019-09-22	Maardu Linnameeskond	W 1-0	45.5	802	893	28.55%	18.64%	52.81%	-0.60	+15.4	20
2019-09-22	@ Kuressaare	L 0-1	45.5	893	802	52.81%	18.64%	28.55%	+0.60	-15.4	16
2019-09-24	Nomme Kalju	L 2-3	37.8	886	1417	3.37%	13.09%	83.54%	-3.39	-1.0	20
2019-09-24	@ Tallinna Kalev	W 3-2	37.8	1417	886	83.54%	13.09%	3.37%	+3.39	+1.0	61
2019-09-25	Tulevik Viljandi	W 3-0	26.0	1488	967	83.19%	13.26%	3.55%	+3.28	+3.2	75
2019-09-25	@ Flora	L 0-3	26.0	967	1488	3.55%	13.26%	83.19%	-3.28	-3.2	22
2019-09-28	Levadia	L 0-1	28.8	885	1452	2.80%	12.48%	84.72%	-3.62	-0.9	20
2019-09-28	@ Tallinna Kalev	W 1-0	28.8	1452	885	84.72%	12.48%	2.80%	+3.62	+0.9	70
2019-09-28	Maardu Linnameeskond	W 4-0	24.5	1418	878	83.85%	12.93%	3.21%	+3.40	+3.8	64
2019-09-28	@ Nomme Kalju	L 0-4	24.5	878	1418	3.21%	12.93%	83.85%	-3.40	-3.8	16
2019-09-29	Flora	L 0-3	26.0	964	1491	3.44%	13.15%	83.41%	-3.37	-3.1	22
2019-09-29	@ Tulevik Viljandi	W 3-0	26.0	1491	964	83.41%	13.15%	3.44%	+3.37	+3.1	78
2019-09-29	Kuressaare	W 4-0	27.7	1127	818	73.07%	16.58%	10.35%	+1.93	+12.7	39
2019-09-29	@ Tammeka	L 0-4	27.7	818	1127	10.35%	16.58%	73.07%	-1.93	-12.7	20
2019-09-29	Paide Linnameeskond	L 0-1	35.7	1149	1326	19.47%	18.06%	62.46%	-1.15	-6.5	36
2019-09-29	@ Narva Trans	W 1-0	35.7	1326	1149	62.46%	18.06%	19.47%	+1.15	+6.5	68
2019-10-01	Nomme Kalju	L 1-4	30.0	874	1422	3.09%	12.81%	84.10%	-3.50	-2.3	16
2019-10-01	@ Maardu Linnameeskond	W 4-1	30.0	1422	874	84.10%	12.81%	3.09%	+3.50	+2.3	67
2019-10-05	Narva Trans	W 1-0	32.6	1494	1142	75.65%	15.98%	8.37%	+2.21	+2.9	81
2019-10-05	@ Flora	L 0-1	32.6	1142	1494	8.37%	15.98%	75.65%	-2.21	-2.9	36
2019-10-05	Tallinna Kalev	D 2-2	58.3	871	884	38.79%	18.85%	42.36%	-0.10	+0.2	17
2019-10-05	@ Maardu Linnameeskond	D 2-2	58.3	884	871	42.36%	18.85%	38.79%	+0.10	-0.2	21
2019-10-05	Tulevik Viljandi	W 4-1	48.7	805	961	21.48%	18.24%	60.28%	-1.01	+40.3	23
2019-10-05	@ Kuressaare	L 1-4	48.7	961	805	60.28%	18.24%	21.48%	+1.01	-40.3	22
2019-10-06	Nomme Kalju	L 0-1	41.0	1333	1424	28.45%	18.64%	52.91%	-0.60	-9.1	68
2019-10-06	@ Paide Linnameeskond	W 1-0	41.0	1424	1333	52.91%	18.64%	28.45%	+0.60	+9.1	70
2019-10-06	Tammeka	D 1-1	55.3	1453	1140	73.34%	16.52%	10.14%	+1.96	-4.5	71
2019-10-06	@ Levadia	D 1-1	55.3	1140	1453	10.14%	16.52%	73.34%	-1.96	+4.5	40
2019-10-19	Kuressaare	W 2-1	32.7	1448	845	85.80%	11.87%	2.32%	+3.80	+0.7	74
2019-10-19	@ Levadia	L 1-2	32.7	845	1448	2.32%	11.87%	85.80%	-3.80	-0.7	23
2019-10-19	Maardu Linnameeskond	W 5-2	37.3	1140	872	70.24%	17.11%	12.65%	+1.67	+8.7	39
2019-10-19	@ Narva Trans	L 2-5	37.3	872	1140	12.65%	17.11%	70.24%	-1.67	-8.6	17
2019-10-19	Tallinna Kalev	W 2-1	34.3	1323	884	80.01%	14.61%	5.38%	+2.76	+1.7	71
2019-10-19	@ Paide Linnameeskond	L 1-2	34.3	884	1323	5.38%	14.61%	80.01%	-2.76	-1.7	21
2019-10-20	Flora	W 2-1	56.2	1433	1497	31.82%	18.75%	49.43%	-0.43	+13.7	73
2019-10-20	@ Nomme Kalju	L 1-2	56.2	1497	1433	49.43%	18.75%	31.82%	+0.43	-13.7	81
2019-10-20	Tulevik Viljandi	L 1-3	52.1	1144	921	66.73%	17.61%	15.66%	+1.39	-31.4	40
2019-10-20	@ Tammeka	W 3-1	52.1	921	1144	15.66%	17.61%	66.73%	-1.39	+31.4	25
2019-10-26	Levadia	L 1-4	29.7	863	1449	2.54%	12.16%	85.31%	-3.74	-1.9	17
2019-10-26	@ Maardu Linnameeskond	W 4-1	29.7	1449	863	85.31%	12.16%	2.54%	+3.74	+1.9	77
2019-10-26	Narva Trans	L 0-2	33.0	952	1148	17.82%	17.89%	64.29%	-1.27	-11.3	25
2019-10-26	@ Tulevik Viljandi	W 2-0	33.0	1148	952	64.29%	17.89%	17.82%	+1.27	+11.3	42
2019-10-26	Tammeka	L 1-2	38.1	882	1113	15.14%	17.54%	67.32%	-1.49	-4.9	21
2019-10-26	@ Tallinna Kalev	W 2-1	38.1	1113	882	67.32%	17.54%	15.14%	+1.49	+4.8	43
2019-10-27	Paide Linnameeskond	W 1-0	39.8	1483	1325	60.55%	18.22%	21.23%	+0.98	+7.1	84
2019-10-27	@ Flora	L 0-1	39.8	1325	1483	21.23%	18.22%	60.55%	-0.98	-7.1	71
2019-10-28	Nomme Kalju	L 0-3	25.0	845	1447	2.33%	11.89%	85.78%	-3.84	-2.0	23
2019-10-28	@ Kuressaare	W 3-0	25.0	1447	845	85.78%	11.89%	2.33%	+3.84	+2.0	76
2019-11-02	Nomme Kalju	D 1-1	60.1	1451	1449	40.87%	18.85%	40.28%	-0.01	-0.0	78
2019-11-02	@ Levadia	D 1-1	60.1	1449	1451	40.28%	18.85%	40.87%	+0.01	+0.0	77
2019-11-02	Tallinna Kalev	W 2-0	30.9	1160	877	71.27%	16.93%	11.80%	+1.76	+7.6	45
2019-11-02	@ Narva Trans	L 0-2	30.9	877	1160	11.80%	16.93%	71.27%	-1.76	-7.6	21
2019-11-03	Kuressaare	W 7-0	23.1	1490	843	87.05%	11.11%	1.84%	+4.08	+3.5	87
2019-11-03	@ Flora	L 0-7	23.1	843	1490	1.84%	11.11%	87.05%	-4.08	-3.5	23
2019-11-03	Maardu Linnameeskond	W 2-1	42.9	941	861	51.43%	18.69%	29.88%	+0.48	+9.0	28
2019-11-03	@ Tulevik Viljandi	L 1-2	42.9	861	941	29.88%	18.69%	51.43%	-0.48	-9.0	17
2019-11-03	Paide Linnameeskond	W 3-2	57.8	1118	1318	17.47%	17.85%	64.69%	-1.30	+16.7	46
2019-11-03	@ Tammeka	L 2-3	57.8	1318	1118	64.69%	17.85%	17.47%	+1.30	-16.7	71
2019-11-09	Flora	L 0-12	23.9	852	1494	1.90%	11.21%	86.89%	-4.09	-6.1	17
2019-11-09	@ Maardu Linnameeskond	W 12-0	23.9	1494	852	86.89%	11.21%	1.90%	+4.09	+6.1	90
2019-11-09	Levadia	W 3-1	52.9	1301	1451	22.10%	18.29%	59.62%	-0.97	+28.2	74
2019-11-09	@ Paide Linnameeskond	L 1-3	52.9	1451	1301	59.62%	18.29%	22.10%	+0.97	-28.2	78
2019-11-09	Narva Trans	L 0-1	31.8	839	1167	9.42%	16.32%	74.26%	-2.10	-3.2	23
2019-11-09	@ Kuressaare	W 1-0	31.8	1167	839	74.26%	16.32%	9.42%	+2.10	+3.2	48
2019-11-09	Tammeka	L 2-3	60.6	1449	1134	73.42%	16.51%	10.07%	+1.97	-18.9	77
2019-11-09	@ Nomme Kalju	W 3-2	60.6	1134	1449	10.07%	16.51%	73.42%	-1.97	+18.9	49
2019-11-09	Tulevik Viljandi	W 3-0	41.7	870	950	29.82%	18.69%	51.49%	-0.53	+41.2	24
2019-11-09	@ Tallinna Kalev	L 0-3	41.7	950	870	51.49%	18.69%	29.82%	+0.53	-41.2	28

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	2019-08-09	7.29%	Tammeka	1101	1	@ Flora	1480	0
2	2019-11-09	10.07%	Tammeka	1134	3	@ Nomme Kalju	1449	2
3	2019-03-08	14.21%	Paide Linnameeskond	1138	2	@ Nomme Kalju	1382	0
4	2019-10-20	15.66%	Tulevik Viljandi	921	3	@ Tammeka	1144	1
5	2019-05-04	16.08%	Tulevik Viljandi	981	1	@ Narva Trans	1199	0
6	2019-11-03	17.47%	@ Tammeka	1118	3	Paide Linnameeskond	1318	2
7	2019-10-05	21.48%	@ Kuressaare	805	4	Tulevik Viljandi	961	1
8	2019-05-28	21.59%	@ Maardu Linnameeskond	922	2	Tammeka	1076	1
9	2019-11-09	22.10%	@ Paide Linnameeskond	1301	3	Levadia	1451	1
10	2019-06-22	26.38%	Tammeka	1059	5	@ Narva Trans	1168	2
11	2019-08-24	28.04%	@ Nomme Kalju	1388	2	Levadia	1483	1
12	2019-05-05	28.42%	@ Nomme Kalju	1331	2	Levadia	1423	1
13	2019-03-31	28.46%	Kuressaare	886	2	@ Tulevik Viljandi	977	1
14	2019-09-22	28.55%	@ Kuressaare	802	1	Maardu Linnameeskond	893	0
15	2019-04-13	28.69%	@ Tallinna Kalev	905	2	Maardu Linnameeskond	994	0
16	2019-06-18	29.65%	Nomme Kalju	1382	1	@ Flora	1464	0
17	2019-11-09	29.82%	@ Tallinna Kalev	870	3	Tulevik Viljandi	950	0
18	2019-06-01	29.99%	Tulevik Viljandi	981	1	@ Tammeka	1060	0
19	2019-06-30	30.77%	Tallinna Kalev	915	2	@ Tulevik Viljandi	987	1
20	2019-10-20	31.82%	@ Nomme Kalju	1433	2	Flora	1497	1
21	2019-05-24	31.96%	@ Kuressaare	929	1	Tulevik Viljandi	992	0
22	2019-05-28	34.00%	@ Tallinna Kalev	897	3	Kuressaare	944	0
23	2019-05-29	34.24%	Levadia	1434	3	@ Flora	1480	1
24	2019-04-07	35.05%	@ Kuressaare	891	2	Tallinna Kalev	931	0
25	2019-07-07	35.86%	Maardu Linnameeskond	896	4	@ Tallinna Kalev	929	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	2019-11-09	41.25	@ Tallinna Kalev	3	870	29.82%	Tulevik Viljandi	0	950	51.49%	18.69%
2	2019-10-05	40.29	@ Kuressaare	4	805	21.48%	Tulevik Viljandi	1	961	60.28%	18.24%
3	2019-05-28	38.20	@ Tallinna Kalev	3	897	34.00%	Kuressaare	0	944	47.20%	18.80%
4	2019-03-08	37.19	Paide Linnameeskond	2	1138	14.21%	@ Nomme Kalju	0	1382	68.39%	17.39%
5	2019-06-22	32.04	Tammeka	5	1059	26.38%	@ Narva Trans	2	1168	55.07%	18.55%
6	2019-10-20	31.44	Tulevik Viljandi	3	921	15.66%	@ Tammeka	1	1144	66.73%	17.61%
7	2019-07-07	31.10	Maardu Linnameeskond	4	896	35.86%	@ Tallinna Kalev	1	929	45.31%	18.82%
8	2019-03-16	30.06	Tammeka	4	1121	55.62%	@ Tulevik Viljandi	0	1007	25.86%	18.52%
9	2019-04-02	29.70	Paide Linnameeskond	3	1181	46.33%	@ Tammeka	0	1140	34.86%	18.81%
10	2019-04-13	28.99	@ Tallinna Kalev	2	905	28.69%	Maardu Linnameeskond	0	994	52.66%	18.65%
11	2019-11-09	28.19	@ Paide Linnameeskond	3	1301	22.10%	Levadia	1	1451	59.62%	18.29%
12	2019-04-02	28.10	Flora	3	1414	48.60%	@ Nomme Kalju	0	1357	32.63%	18.77%
13	2019-06-14	27.17	@ Paide Linnameeskond	6	1225	67.18%	Tulevik Viljandi	0	996	15.26%	17.56%
14	2019-04-27	26.04	Tammeka	4	1088	59.72%	@ Tallinna Kalev	0	938	22.00%	18.28%
15	2019-04-07	25.79	@ Kuressaare	2	891	35.05%	Tallinna Kalev	0	931	46.14%	18.81%
16	2019-03-16	22.91	Narva Trans	4	1168	62.85%	@ Tallinna Kalev	0	987	19.12%	18.03%
17	2019-05-11	22.78	@ Levadia	7	1408	72.31%	Tammeka	0	1111	10.96%	16.74%
18	2019-09-01	22.71	@ Tulevik Viljandi	3	955	56.02%	Kuressaare	0	838	25.48%	18.50%
19	2019-05-29	22.67	Levadia	3	1434	34.24%	@ Flora	1	1480	46.96%	18.80%
20	2019-04-03	22.56	Tulevik Viljandi	2	962	41.86%	@ Tallinna Kalev	0	953	39.29%	18.85%
21	2019-08-09	22.08	Tammeka	1	1101	7.29%	@ Flora	0	1480	77.14%	15.57%
22	2019-06-18	20.25	@ Tulevik Viljandi	2	969	46.75%	Maardu Linnameeskond	0	925	34.44%	18.80%
23	2019-05-04	19.12	Tulevik Viljandi	1	981	16.08%	@ Narva Trans	0	1199	66.25%	17.67%
24	2019-11-09	18.89	Tammeka	3	1134	10.07%	@ Nomme Kalju	2	1449	73.42%	16.51%
25	2019-06-19	17.71	@ Paide Linnameeskond	7	1253	75.43%	Kuressaare	0	905	8.53%	16.03%

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	2019-11-09	60.6	Tammeka	3	1134	10.07%	@ Nomme Kalju	2	1449	73.42%	16.51%
2	2019-05-18	60.3	@ Flora	2	1479	73.16%	Narva Trans	2	1169	10.28%	16.56%
3	2019-11-02	60.1	@ Levadia	1	1451	40.87%	Nomme Kalju	1	1449	40.28%	18.85%
4	2019-08-18	59.7	@ Nomme Kalju	2	1392	79.99%	Tulevik Viljandi	2	953	5.39%	14.62%
5	2019-04-20	59.5	@ Nomme Kalju	2	1341	78.53%	Tallinna Kalev	2	934	6.33%	15.13%
6	2019-09-14	59.5	@ Nomme Kalju	2	1408	70.38%	Narva Trans	2	1138	12.54%	17.09%
7	2019-08-28	59.2	@ Flora	1	1465	49.24%	Nomme Kalju	1	1403	32.01%	18.75%
8	2019-05-31	58.8	@ Narva Trans	2	1184	68.78%	Tallinna Kalev	2	935	13.88%	17.34%
9	2019-04-28	58.7	@ Tulevik Viljandi	2	978	15.55%	Paide Linnameeskond	2	1203	66.85%	17.60%
10	2019-07-20	58.6	@ Tammeka	2	1104	65.17%	Tallinna Kalev	2	898	17.03%	17.80%
11	2019-03-10	58.4	@ Tammeka	2	1122	53.56%	Maardu Linnameeskond	2	1025	27.83%	18.61%
12	2019-08-28	58.3	@ Maardu Linnameeskond	2	902	33.07%	Tulevik Viljandi	2	956	48.15%	18.78%
13	2019-10-05	58.3	@ Maardu Linnameeskond	2	871	38.79%	Tallinna Kalev	2	884	42.36%	18.85%
14	2019-11-03	57.8	@ Tammeka	3	1118	17.47%	Paide Linnameeskond	2	1318	64.69%	17.85%
15	2019-09-01	56.9	@ Paide Linnameeskond	1	1306	21.19%	Flora	1	1464	60.60%	18.22%
16	2019-10-20	56.2	@ Nomme Kalju	2	1433	31.82%	Flora	1	1497	49.43%	18.75%
17	2019-06-02	55.8	@ Levadia	1	1457	67.71%	Paide Linnameeskond	1	1222	14.80%	17.49%
18	2019-08-27	55.5	@ Tammeka	1	1144	9.61%	Levadia	1	1468	74.02%	16.38%
19	2019-09-14	55.5	@ Levadia	1	1465	81.95%	Tulevik Viljandi	1	978	4.22%	13.83%
20	2019-08-24	55.4	@ Nomme Kalju	2	1388	28.04%	Levadia	1	1483	53.33%	18.62%
21	2019-07-19	55.3	@ Nomme Kalju	1	1390	56.34%	Paide Linnameeskond	1	1271	25.17%	18.49%
22	2019-10-06	55.3	@ Levadia	1	1453	73.34%	Tammeka	1	1140	10.14%	16.52%
23	2019-07-05	54.8	@ Narva Trans	1	1132	12.97%	Nomme Kalju	1	1395	69.86%	17.17%
24	2019-06-29	54.2	@ Kuressaare	1	883	13.64%	Narva Trans	1	1136	69.07%	17.29%
25	2019-05-28	54.1	@ Tulevik Viljandi	1	978	16.78%	Narva Trans	1	1187	65.46%	17.76%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2019-11-03	23.1	@ Flora	7	1490	87.05%	Kuressaare	0	843	1.84%	11.11%
2	2019-06-22	23.7	@ Levadia	5	1465	85.08%	Kuressaare	0	887	2.64%	12.28%
3	2019-09-13	23.7	@ Flora	5	1462	84.97%	Tallinna Kalev	0	887	2.69%	12.34%
4	2019-05-03	23.8	@ Flora	6	1472	84.50%	Tallinna Kalev	0	912	2.90%	12.60%
5	2019-08-03	23.9	@ Levadia	7	1466	84.69%	Tallinna Kalev	0	900	2.81%	12.50%
6	2019-11-09	23.9	Flora	12	1494	86.89%	@ Maardu Linnameeskond	0	852	1.90%	11.21%
7	2019-04-21	24.1	@ Flora	5	1456	83.96%	Kuressaare	0	913	3.16%	12.88%
8	2019-09-21	24.2	@ Nomme Kalju	6	1411	83.11%	Tallinna Kalev	0	892	3.59%	13.30%
9	2019-06-02	24.5	Flora	4	1457	84.23%	@ Kuressaare	0	906	3.03%	12.74%
10	2019-09-28	24.5	@ Nomme Kalju	4	1418	83.85%	Maardu Linnameeskond	0	878	3.21%	12.93%
11	2019-10-28	25.0	Nomme Kalju	3	1447	85.78%	@ Kuressaare	0	845	2.33%	11.89%
12	2019-08-13	25.1	Flora	3	1458	85.67%	@ Kuressaare	0	860	2.38%	11.95%
13	2019-06-01	25.2	@ Nomme Kalju	6	1367	79.53%	Maardu Linnameeskond	0	938	5.68%	14.79%
14	2019-07-21	25.2	Levadia	3	1461	85.21%	@ Kuressaare	0	878	2.58%	12.21%
15	2019-04-07	25.3	@ Flora	6	1442	79.97%	Maardu Linnameeskond	0	1004	5.40%	14.63%
16	2019-07-21	25.6	@ Flora	3	1478	84.22%	Maardu Linnameeskond	0	927	3.04%	12.75%
17	2019-08-25	26.0	@ Paide Linnameeskond	5	1290	77.05%	Maardu Linnameeskond	0	913	7.36%	15.59%
18	2019-09-14	26.0	Paide Linnameeskond	3	1308	82.17%	@ Kuressaare	0	815	4.10%	13.73%
19	2019-09-25	26.0	@ Flora	3	1488	83.19%	Tulevik Viljandi	0	967	3.55%	13.26%
20	2019-09-29	26.0	Flora	3	1491	83.41%	@ Tulevik Viljandi	0	964	3.44%	13.15%
21	2019-07-28	26.2	Levadia	3	1463	82.56%	@ Tulevik Viljandi	0	959	3.88%	13.56%
22	2019-03-31	26.3	@ Levadia	8	1394	77.28%	Maardu Linnameeskond	0	1012	7.19%	15.53%
23	2019-06-19	26.5	@ Paide Linnameeskond	7	1253	75.43%	Kuressaare	0	905	8.53%	16.03%
24	2019-05-17	27.0	Levadia	3	1431	79.74%	@ Tulevik Viljandi	0	998	5.55%	14.72%
25	2019-06-29	27.0	Levadia	6	1469	84.83%	@ Maardu Linnameeskond	1	899	2.75%	12.42%