2017 Meistriliiga Season

180 games

Final

Champion

Flora

90 points · 11th Title

Last Title: 2015

Relegated

No relegation

Biggest Overachiever

Flora

8.80 points above expected

90 points · 81.20 expected points

Biggest Disappointment

Parnu Vaprus

13.15 points below expected

8 points · 21.15 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	28	6	2	90	100	28	+72	81.20	+8.80
2	Levadia	36	25	9	2	84	106	20	+86	79.84	+4.16
3	Nomme Kalju	36	24	6	6	78	101	32	+69	70.34	+7.66
4	Infonet	36	20	5	11	65	103	47	+56	69.31	-4.31
5	Narva Trans	36	13	6	17	45	46	63	-17	48.04	-3.04
6	Paide Linnameeskond	36	10	8	18	38	47	88	-41	37.44	+0.56
7	Tammeka	36	9	10	17	37	40	63	-23	35.84	+1.16
8	Sillamae Kalev	36	10	6	20	36	52	76	-24	45.12	-9.12
9	Tulevik Viljandi	36	8	4	24	28	34	95	-61	22.87	+5.13
10	Parnu Vaprus	36	2	2	32	8	29	146	-117	21.15	-13.15

Top Overachievers & Disappointments

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

Biggest Overachievers

#	Team	Actual	Sim	vsSim
1	Flora	90	81.20	+8.80
2	Nomme Kalju	78	70.34	+7.66
3	Tulevik Viljandi	28	22.87	+5.13
4	Levadia	84	79.84	+4.16
5	Tammeka	37	35.84	+1.16

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Parnu Vaprus	8	21.15	-13.15
2	Sillamae Kalev	36	45.12	-9.12
3	Infonet	65	69.31	-4.31
4	Narva Trans	45	48.04	-3.04
5	Paide Linnameeskond	38	37.44	+0.56

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	Tulevik Viljandi	2	Jul 28 – Aug 4	1 in 196
2	Flora	15	Mar 18 – Jun 19	1 in 107
3	Narva Trans	3	Sep 12 – Sep 22	1 in 22
4	Nomme Kalju	8	Jul 9 – Aug 18	1 in 17
5	Levadia	6	Mar 11 – Apr 22	1 in 10

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Parnu Vaprus	17	Jul 21 – Nov 4	1 in 167
2	Narva Trans	6	Jul 21 – Aug 15	1 in 92
3	Levadia	1	Jul 28 – Jul 28	1 in 29
4	Sillamae Kalev	3	Mar 4 – Mar 18	1 in 14
5	Paide Linnameeskond	3	Jun 3 – Jun 30	1 in 11

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Levadia	20	Mar 4 – Jul 21	1 in 105
2	Flora	26	Mar 4 – Aug 22	1 in 57
3	Tulevik Viljandi	4	Aug 25 – Sep 16	1 in 29
4	Paide Linnameeskond	3	Oct 21 – Nov 4	1 in 10
5	Sillamae Kalev	4	Jun 19 – Jul 22	1 in 10

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Narva Trans	9	Jun 16 – Aug 15	1 in 86
2	Paide Linnameeskond	8	Jun 3 – Aug 5	1 in 26
3	Infonet	3	Sep 16 – Sep 30	1 in 26
4	Tammeka	10	Apr 14 – Jun 3	1 in 20
5	Parnu Vaprus	21	Jun 16 – Nov 4	1 in 15

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	1561	90	+16	11	11.7	-0.7
Levadia	1567	84	+9	11	11.1	-0.1
Nomme Kalju	1501	78	+2	10	11.6	-1.6
Infonet	1436	65	-5	7	9.3	-2.3
Narva Trans	1194	45	-32	4	5.3	-1.3
Paide Linnameeskond	1161	38	+28	10	5.2	+4.8
Tammeka	1129	37	+9	7	4.4	+2.6
Sillamae Kalev	1173	36	-18	6	8.6	-2.6
Tulevik Viljandi	1006	28	+7	4	2.1	+1.9
Parnu Vaprus	877	8	-17	0	2.0	-2.0

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	INF	LEV	NT	NK	PL	PV	SK	TAM	TV
Flora	—	3-0-1 7.55	0-4-0 6.28	4-0-0 9.37	2-1-1 7.52	4-0-0 10.00	4-0-0 10.77	4-0-0 9.62	4-0-0 10.14	3-1-0 10.66
Infonet	1-0-3 3.74	—	1-0-3 4.06	3-0-1 8.39	1-1-2 5.23	3-1-0 9.07	4-0-0 10.20	2-1-1 8.57	2-1-1 9.33	3-1-0 10.13
Levadia	0-4-0 4.99	3-0-1 7.22	—	2-2-0 9.28	2-2-0 7.08	4-0-0 9.74	4-0-0 10.74	3-1-0 9.38	4-0-0 9.92	3-0-1 10.63
Narva Trans	0-0-4 2.01	1-0-3 2.93	0-2-2 2.09	—	1-0-3 2.94	1-1-2 6.70	4-0-0 9.07	1-2-1 6.20	2-1-1 6.97	3-0-1 8.78
Nomme Kalju	1-1-2 3.77	2-1-1 6.04	0-2-2 4.20	3-0-1 8.38	—	3-1-0 9.13	4-0-0 10.34	3-1-0 8.82	4-0-0 9.36	4-0-0 10.19
Paide Linnameeskond	0-0-4 1.44	0-1-3 2.29	0-0-4 1.67	2-1-1 4.58	0-1-3 2.23	—	3-1-0 8.35	2-0-2 4.97	0-4-0 5.98	3-0-1 7.79
Parnu Vaprus	0-0-4 0.81	0-0-4 1.27	0-0-4 0.82	0-0-4 2.29	0-0-4 1.16	0-1-3 2.97	—	1-0-3 2.49	0-1-3 3.38	1-0-3 4.98
Sillamae Kalev	0-0-4 1.78	1-1-2 2.75	0-1-3 2.00	1-2-1 5.07	0-1-3 2.52	2-0-2 6.30	3-0-1 8.85	—	1-1-2 6.86	2-0-2 8.42
Tammeka	0-0-4 1.31	1-1-2 2.04	0-0-4 1.51	1-1-2 4.31	0-0-4 2.01	0-4-0 5.29	3-1-0 7.93	2-1-1 4.41	—	2-2-0 7.62
Tulevik Viljandi	0-1-3 0.88	0-1-3 1.32	1-0-3 0.91	1-0-3 2.56	0-0-4 1.27	1-0-3 3.50	3-0-1 6.29	2-0-2 2.90	0-2-2 3.67	—

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	0.89	+7.9
Allowed	0.89	-6.7
Differential	0.96	+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	3.33%	4.72%	5.56%	3.89%	1.67%	5.00%	24.17%
1	4.72%	11.11%	6.11%	5.28%	1.94%	2.78%	31.94%
2	5.56%	6.11%	2.22%	2.50%	1.11%	0.83%	18.33%
3	3.89%	5.28%	2.50%	0.56%	—	—	12.22%
4	1.67%	1.94%	1.11%	—	—	—	4.72%
5+	5.00%	2.78%	0.83%	—	—	—	8.61%
Total	24.17%	31.94%	18.33%	12.22%	4.72%	8.61%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.83	1.83	+0.00
SD	1.94	1.94	3.20
CV	1.06	1.06	—
Max	11	11	+10
Min	0	0	-10

Games Played: 180

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	—	—	—	2.78%	—	8.33%
1	8.33%	5.56%	—	—	—	—	13.89%
2	19.44%	5.56%	2.78%	—	2.78%	—	30.56%
3	13.89%	5.56%	8.33%	2.78%	—	—	30.56%
4	2.78%	—	2.78%	—	—	—	5.56%
5+	8.33%	2.78%	—	—	—	—	11.11%
Total	58.33%	19.44%	13.89%	2.78%	5.56%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.78	0.78	+2.00
SD	2.17	1.15	2.57
CV	0.78	1.48	—
Max	10	4	+10
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	11.11%	2.78%	2.78%	—	—	16.67%
1	—	8.33%	2.78%	5.56%	—	—	16.67%
2	2.78%	8.33%	5.56%	5.56%	—	—	22.22%
3	2.78%	5.56%	—	—	—	—	8.33%
4	—	11.11%	5.56%	—	—	—	16.67%
5+	8.33%	11.11%	—	—	—	—	19.44%
Total	13.89%	55.56%	16.67%	13.89%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.86	1.31	+1.56
SD	2.50	0.89	2.95
CV	0.87	0.68	—
Max	11	3	+10
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	2.78%	—	—	—	—	13.89%
1	5.56%	11.11%	2.78%	—	—	—	19.44%
2	11.11%	8.33%	—	—	—	—	19.44%
3	2.78%	5.56%	2.78%	2.78%	—	—	13.89%
4	5.56%	2.78%	—	—	—	—	8.33%
5+	22.22%	—	2.78%	—	—	—	25.00%
Total	58.33%	30.56%	8.33%	2.78%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.94	0.56	+2.39
SD	2.45	0.77	2.70
CV	0.83	1.39	—
Max	9	3	+9
Min	0	0	-1

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	5.56%	8.33%	2.78%	—	2.78%	25.00%
1	8.33%	11.11%	8.33%	11.11%	2.78%	2.78%	44.44%
2	5.56%	5.56%	—	—	2.78%	—	13.89%
3	2.78%	11.11%	—	—	—	—	13.89%
4	—	—	—	—	—	—	—
5+	—	2.78%	—	—	—	—	2.78%
Total	22.22%	36.11%	16.67%	13.89%	5.56%	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.28	1.75	-0.47
SD	1.16	1.83	2.38
CV	0.91	1.04	—
Max	5	8	+4
Min	0	0	-7

Games Played: 36

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

Summary Statistics

	Scored	Allowed	Difference
Mean	2.81	0.89	+1.92
SD	2.34	0.92	2.68
CV	0.83	1.03	—
Max	8	4	+8
Min	0	0	-2

Games Played: 36

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.31	2.44	-1.14
SD	1.28	2.01	2.72
CV	0.98	0.82	—
Max	4	8	+4
Min	0	0	-8

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	2.78%	5.56%	13.89%	5.56%	13.89%	41.67%
1	—	5.56%	11.11%	5.56%	5.56%	11.11%	38.89%
2	2.78%	—	—	8.33%	—	5.56%	16.67%
3	—	2.78%	—	—	—	—	2.78%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	2.78%	11.11%	16.67%	27.78%	11.11%	30.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.81	4.06	-3.25
SD	0.82	2.74	3.00
CV	1.02	0.67	—
Max	3	11	+2
Min	0	0	-10

Games Played: 36

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.44	2.11	-0.67
SD	1.87	2.09	3.28
CV	1.30	0.99	—
Max	9	9	+9
Min	0	0	-9

Games Played: 36

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.11	1.75	-0.64
SD	0.89	1.23	1.74
CV	0.80	0.70	—
Max	3	5	+3
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	5.56%	13.89%	2.78%	—	16.67%	38.89%
1	8.33%	8.33%	8.33%	5.56%	2.78%	2.78%	36.11%
2	—	8.33%	2.78%	5.56%	2.78%	—	19.44%
3	—	—	2.78%	—	—	—	2.78%
4	—	2.78%	—	—	—	—	2.78%
5+	—	—	—	—	—	—	—
Total	8.33%	25.00%	27.78%	13.89%	5.56%	19.44%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.94	2.64	-1.69
SD	0.98	2.06	2.58
CV	1.04	0.78	—
Max	4	8	+3
Min	0	0	-8

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
Levadia	1567	84	79.84	+4.16	73.0%	66	68	75	81	85	88	105
Flora	1561	90	81.20	+8.80	96.0%	63	68	77	83	85	90	93
Nomme Kalju	1501	78	70.34	+7.66	87.0%	56	59	65	69	75	82	96
Infonet	1436	65	69.31	-4.31	30.0%	50	56	65	69	75	80	85
Narva Trans	1194	45	48.04	-3.04	36.0%	28	34	43	49	53	61	68
Sillamae Kalev	1173	36	45.12	-9.12	10.0%	25	35	40	44	51	58	64
Paide Linnameeskond	1161	38	37.44	+0.56	57.0%	20	22	33	37	42	49	55
Tammeka	1129	37	35.84	+1.16	57.0%	19	26	32	36	39	46	54
Tulevik Viljandi	1006	28	22.87	+5.13	84.0%	7	10	19	24	26	34	42
Parnu Vaprus	877	8	21.15	-13.15	0.0%	9	13	18	20	24	30	36

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

+3.89%

Slight Edge

43.33%17.22%39.44%

Elo Value

Home Edge: 13.52 Elo pts.

130 Elo

0.008 goals per Elo point

0400

Scoring Tilt

Expected

+0.31 goals

Neutral

-2+0.10+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

2.4

Top-Heavy

123410

Champion Preseason Odds

48%

Flora, 1st of 10

LongshotFavorite

Title Margin

Expected

0.17/gm

Tight Race

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 5.58 * Some Luck: 5.58 to 8.36 * Lucky: 8.36 to 11.15 * Wild Swing: 11.15 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 0.56 * Close: 0.56 to 0.84 * Off: 0.84 to 1.12 * Way Off: 1.12 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

6.82 points

Some Luck

06.9717

Average Finish Error

Expected

0.40

Pinpoint

00.701.5

Biggest Overachiever

Expected 95.00%

96.00%

Flora

50100

Biggest Underachiever

Expected 5.00%

0.00%

Parnu Vaprus

050

Season Outliers

Expected

2 of 10

Minimal Outliers

01.010

Parity

How these are measured

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

Gini Index: How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.27 * Even: 0.27 to 0.29 * Top-Heavy: 0.29 to 0.31 * Lopsided: 0.31 and up.
Noll-Scully: Take a league where every match is a coin flip and nobody is better than anybody. You would still get a table, with a leader and a bottom club, purely by luck, and you can work out how far apart that table would be. This is the real table measured against it. At 1.00 the season was no more spread out than pure chance; at 2.00 it was twice as spread out, which takes genuine differences in quality. Dividing by the luck figure is what makes seasons of different lengths comparable, because a short season spreads a table by luck alone far more than a long one does. Elo SD in the corner is the same question in rating points: how far apart the teams finished on the ratings.
Coin-Flip Parity: under 2.7 * Moderate Separation: 2.7 to 3 * Strong Separation: 3 to 3.3 * Wide Separation: 3.3 and up.
Interquartile Edge: Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 87.5% * Slight Edge: 87.5% to 91% * Clear Edge: 91% to 93.5% * Wide Edge: 93.5% and up.
Best vs. Worst: Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 98% * Clear Edge: 98% to 99% * Strong Edge: 99% to 99.5% * Dominant: 99.5% and up.
Close Games: Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 43% * Some Drama: 43% to 46% * Frequent: 46% to 50.5% * Very Frequent: 50.5% and up.
Blowouts: Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 28.5% * Occasional: 28.5% to 34% * Frequent: 34% to 39.5% * Very Frequent: 39.5% and up.

Gini Index

0.28

Even

00.270.5

Noll-Scully

Elo SD: 241.09

3.26

Strong Separation

12.733.33.75

Interquartile Edge

88%

Slight Edge

50%87.5%100%

Best vs. Worst

Baseline 99%

98%

Clear Edge

50%100%

Close Games

Expected

44%

Some Drama

0%35%100%

Blowouts

Expected

32%

Occasional

0%45%100%

Predictability

How these are measured

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

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

Brier Score

Expected

0.43

Highly Predictable

00.472

Matchup Imbalance

0.57

Slight Separation

00.5

Strangeness

Expected

1.17

Wilder Than Modeled

01.002

Repeatability

0.89

Strong Carryover

00.70.841

Upset Rate

Expected

13%

As Expected

0%18%50%

Clear Favorite Upset Rate

Expected

12%

Shaky Favorites

0%15%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 0.21 * Well Above Noise: 0.21 and up.

Probability calibration

0.16

Well Calibrated

0.010.050.10.51

Calibration slope

Ideal

1.22

Underconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.056

Well Within Noise

00.1070.25

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%	38.00%	9.00%	5.00%	—	—	—	—	—	—
Levadia	43.00%	33.00%	19.00%	5.00%	—	—	—	—	—	—
Nomme Kalju	5.00%	14.00%	38.00%	39.00%	4.00%	—	—	—	—	—
Infonet	4.00%	15.00%	33.00%	44.00%	3.00%	1.00%	—	—	—	—
Narva Trans	—	—	1.00%	5.00%	49.00%	27.00%	9.00%	9.00%	—	—
Paide Linnameeskond	—	—	—	—	7.00%	22.00%	32.00%	28.00%	10.00%	1.00%
Tammeka	—	—	—	—	3.00%	11.00%	36.00%	40.00%	8.00%	2.00%
Sillamae Kalev	—	—	—	2.00%	34.00%	38.00%	19.00%	4.00%	3.00%	—
Tulevik Viljandi	—	—	—	—	—	1.00%	3.00%	13.00%	43.00%	40.00%
Parnu Vaprus	—	—	—	—	—	—	1.00%	6.00%	36.00%	57.00%

Points Required Per Position

The empirical CDF of simulated point totals per finishing position. Each curve shows, for one position (1st, 2nd, ..., last), the spread of point totals teams accumulated across simulations. Reading the curve at the 50% mark gives the median points typically needed to finish at that position. Steep curves mean the position is tightly clustered around a particular point range; shallow curves mean the position came with a wide variety of point totals.

Next-Season Status

Across 100,000 regular-season simulations, the probability of each team's next-season status. Columns appear in best-to-worst outcome order: promotion-positive on the left, relegation-positive on the right. Cells with darker shading indicate higher likelihood.

Team	Same level	Qualified for relegation playoff	Direct relegation
Flora	100%	—	—
Infonet	100%	—	—
Levadia	100%	—	—
Narva Trans	100%	—	—
Nomme Kalju	100%	—	—
Sillamae Kalev	97.00%	3.00%	—
Paide Linnameeskond	89.00%	10.00%	1.00%
Tammeka	90.00%	8.00%	2.00%
Tulevik Viljandi	17.00%	43.00%	40.00%
Parnu Vaprus	7.00%	36.00%	57.00%

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
2017-03-03	Infonet	W 2-0	49.2	1120	1403	12.83%	16.05%	71.12%	-2.08	+27.2	3
2017-03-03	@ Tammeka	L 0-2	49.2	1403	1120	71.12%	16.05%	12.83%	+2.08	-27.2	0
2017-03-04	Levadia	D 1-1	60.6	1490	1438	49.96%	18.12%	31.92%	+0.51	-0.9	1
2017-03-04	@ Flora	D 1-1	60.6	1438	1490	31.92%	18.12%	49.96%	-0.51	+0.8	1
2017-03-04	Narva Trans	L 1-5	43.3	1226	1218	43.93%	18.25%	37.82%	+0.17	-27.7	0
2017-03-04	@ Paide Linnameeskond	W 5-1	43.3	1218	1226	37.82%	18.25%	43.93%	-0.17	+27.7	3
2017-03-04	Nomme Kalju	L 2-6	35.3	1048	1363	11.04%	15.56%	73.40%	-2.32	-6.6	0
2017-03-04	@ Parnu Vaprus	W 6-2	35.3	1363	1048	73.40%	15.56%	11.04%	+2.32	+6.6	3
2017-03-04	Sillamae Kalev	W 1-0	48.8	1041	1257	17.66%	16.98%	65.36%	-1.55	+13.3	3
2017-03-04	@ Tulevik Viljandi	L 0-1	48.8	1257	1041	65.36%	16.98%	17.66%	+1.55	-13.3	0
2017-03-10	Flora	D 1-1	58.4	1370	1489	27.00%	17.90%	55.10%	-0.82	+1.3	4
2017-03-10	@ Nomme Kalju	D 1-1	58.4	1489	1370	55.10%	17.90%	27.00%	+0.82	-1.3	2
2017-03-11	Paide Linnameeskond	L 2-3	45.0	1054	1199	24.30%	17.71%	57.99%	-1.01	-5.0	3
2017-03-11	@ Tulevik Viljandi	W 3-2	45.0	1199	1054	57.99%	17.71%	24.30%	+1.01	+5.0	3
2017-03-11	Sillamae Kalev	W 5-0	31.7	1439	1243	66.03%	16.89%	17.08%	+1.61	+17.8	4
2017-03-11	@ Levadia	L 0-5	31.7	1243	1439	17.08%	16.89%	66.03%	-1.61	-17.8	0
2017-03-11	Infonet	L 1-2	42.1	1246	1376	25.87%	17.83%	56.30%	-0.90	-5.6	3
2017-03-11	@ Narva Trans	W 2-1	42.1	1376	1246	56.30%	17.83%	25.87%	+0.90	+5.6	3
2017-03-11	Tammeka	D 1-1	53.3	1041	1147	28.66%	17.99%	53.35%	-0.71	+1.2	1
2017-03-11	@ Parnu Vaprus	D 1-1	53.3	1147	1041	53.35%	17.99%	28.66%	+0.71	-1.2	4
2017-03-17	Narva Trans	D 1-1	53.4	1146	1241	29.97%	18.05%	51.98%	-0.62	+1.0	5
2017-03-17	@ Tammeka	D 1-1	53.4	1241	1146	51.98%	18.05%	29.97%	+0.62	-1.0	4
2017-03-18	Paide Linnameeskond	W 7-0	29.8	1457	1204	70.85%	16.10%	13.05%	+2.05	+18.8	7
2017-03-18	@ Levadia	L 0-7	29.8	1204	1457	13.05%	16.10%	70.85%	-2.05	-18.8	3
2017-03-18	Parnu Vaprus	W 2-0	28.4	1488	1043	82.18%	12.75%	5.07%	+3.53	+2.2	5
2017-03-18	@ Flora	L 0-2	28.4	1043	1488	5.07%	12.75%	82.18%	-3.53	-2.2	1
2017-03-18	Sillamae Kalev	W 2-1	40.5	1371	1225	61.08%	17.45%	21.47%	+1.22	+4.7	7
2017-03-18	@ Nomme Kalju	L 1-2	40.5	1225	1371	21.47%	17.45%	61.08%	-1.22	-4.7	0
2017-03-18	Tulevik Viljandi	W 5-0	27.2	1382	1049	76.30%	14.82%	8.89%	+2.66	+9.3	6
2017-03-18	@ Infonet	L 0-5	27.2	1049	1382	8.89%	14.82%	76.30%	-2.66	-9.3	3
2017-03-31	Levadia	L 0-1	44.1	1391	1475	31.23%	18.10%	50.67%	-0.55	-7.0	6
2017-03-31	@ Infonet	W 1-0	44.1	1475	1391	50.67%	18.10%	31.23%	+0.55	+7.0	10
2017-04-01	Paide Linnameeskond	W 1-0	35.0	1376	1185	65.56%	16.95%	17.49%	+1.57	+4.1	10
2017-04-01	@ Nomme Kalju	L 0-1	35.0	1185	1376	17.49%	16.95%	65.56%	-1.57	-4.1	3
2017-04-01	Sillamae Kalev	L 1-3	38.3	1040	1221	20.73%	17.38%	61.89%	-1.28	-7.9	1
2017-04-01	@ Parnu Vaprus	W 3-1	38.3	1221	1040	61.89%	17.38%	20.73%	+1.28	+7.9	3
2017-04-01	Tammeka	W 4-0	28.4	1490	1147	76.96%	14.62%	8.42%	+2.74	+7.1	8
2017-04-01	@ Flora	L 0-4	28.4	1147	1490	8.42%	14.62%	76.96%	-2.74	-7.1	5
2017-04-01	Tulevik Viljandi	W 2-1	38.0	1240	1040	66.38%	16.84%	16.78%	+1.64	+3.7	7
2017-04-01	@ Narva Trans	L 1-2	38.0	1040	1240	16.78%	16.84%	66.38%	-1.64	-3.7	3
2017-04-07	Infonet	W 3-2	52.5	1380	1384	42.20%	18.26%	39.54%	+0.07	+7.6	13
2017-04-07	@ Nomme Kalju	L 2-3	52.5	1384	1380	39.54%	18.26%	42.20%	-0.07	-7.6	6
2017-04-07	Tammeka	L 1-3	41.0	1036	1140	28.92%	18.00%	53.08%	-0.69	-10.7	3
2017-04-07	@ Tulevik Viljandi	W 3-1	41.0	1140	1036	53.08%	18.00%	28.92%	+0.69	+10.7	8
2017-04-08	Narva Trans	W 3-1	38.2	1482	1243	69.77%	16.30%	13.93%	+1.94	+5.4	13
2017-04-08	@ Levadia	L 1-3	38.2	1243	1482	13.93%	16.30%	69.77%	-1.94	-5.4	7
2017-04-08	Parnu Vaprus	W 3-2	43.9	1181	1033	61.38%	17.43%	21.19%	+1.24	+4.4	6
2017-04-08	@ Paide Linnameeskond	L 2-3	43.9	1033	1181	21.19%	17.43%	61.38%	-1.24	-4.4	1
2017-04-08	Sillamae Kalev	W 2-0	33.1	1497	1229	72.04%	15.86%	12.10%	+2.17	+5.4	11
2017-04-08	@ Flora	L 0-2	33.1	1229	1497	12.10%	15.86%	72.04%	-2.17	-5.4	3
2017-04-14	Levadia	L 0-2	28.5	1026	1488	5.34%	12.94%	81.72%	-3.45	-2.3	3
2017-04-14	@ Tulevik Viljandi	W 2-0	28.5	1488	1026	81.72%	12.94%	5.34%	+3.45	+2.3	16
2017-04-14	Paide Linnameeskond	W 3-0	30.3	1503	1185	75.37%	15.07%	9.56%	+2.55	+6.2	14
2017-04-14	@ Flora	L 0-3	30.3	1185	1503	9.56%	15.07%	75.37%	-2.55	-6.2	6
2017-04-14	Sillamae Kalev	D 1-1	53.4	1150	1223	32.74%	18.15%	49.10%	-0.46	+0.8	9
2017-04-14	@ Tammeka	D 1-1	53.4	1223	1150	49.10%	18.15%	32.74%	+0.46	-0.8	4
2017-04-15	Nomme Kalju	W 1-0	48.0	1238	1387	23.77%	17.67%	58.56%	-1.05	+12.0	10
2017-04-15	@ Narva Trans	L 0-1	48.0	1387	1238	58.56%	17.67%	23.77%	+1.05	-12.0	13
2017-04-15	Infonet	L 0-6	27.1	1028	1376	9.38%	15.01%	75.61%	-2.57	-11.6	1
2017-04-15	@ Parnu Vaprus	W 6-0	27.1	1376	1028	75.61%	15.01%	9.38%	+2.57	+11.6	9
2017-04-21	Flora	L 0-1	43.7	1388	1509	26.87%	17.89%	55.24%	-0.83	-6.1	9
2017-04-21	@ Infonet	W 1-0	43.7	1509	1388	55.24%	17.89%	26.87%	+0.83	+6.1	17
2017-04-21	Sillamae Kalev	W 2-1	47.1	1179	1222	36.67%	18.24%	45.09%	-0.23	+9.0	9
2017-04-21	@ Paide Linnameeskond	L 1-2	47.1	1222	1179	45.09%	18.24%	36.67%	+0.23	-9.0	4
2017-04-22	Levadia	L 0-2	31.2	1151	1490	9.82%	15.16%	75.02%	-2.50	-4.4	9
2017-04-22	@ Tammeka	W 2-0	31.2	1490	1151	75.02%	15.16%	9.82%	+2.50	+4.4	19
2017-04-22	Narva Trans	L 0-2	32.5	1016	1250	16.25%	16.75%	66.99%	-1.69	-7.2	1
2017-04-22	@ Parnu Vaprus	W 2-0	32.5	1250	1016	66.99%	16.75%	16.25%	+1.69	+7.2	13
2017-04-22	Tulevik Viljandi	W 8-0	26.6	1375	1023	77.46%	14.47%	8.07%	+2.81	+13.1	16
2017-04-22	@ Nomme Kalju	L 0-8	26.6	1023	1375	8.07%	14.47%	77.46%	-2.81	-13.1	3
2017-04-24	Sillamae Kalev	D 2-2	58.8	1382	1213	63.42%	17.21%	19.36%	+1.40	-1.6	10
2017-04-24	@ Infonet	D 2-2	58.8	1213	1382	19.36%	17.21%	63.42%	-1.40	+1.6	5
2017-04-25	Narva Trans	W 4-2	42.6	1515	1257	71.24%	16.03%	12.74%	+2.09	+4.4	20
2017-04-25	@ Flora	L 2-4	42.6	1257	1515	12.74%	16.03%	71.24%	-2.09	-4.4	13
2017-04-25	Nomme Kalju	D 1-1	59.2	1495	1388	56.69%	17.80%	25.51%	+0.92	-1.5	20
2017-04-25	@ Levadia	D 1-1	59.2	1388	1495	25.51%	17.80%	56.69%	-0.92	+1.5	17
2017-04-25	Parnu Vaprus	W 2-1	45.0	1010	1009	42.95%	18.26%	38.79%	+0.11	+7.9	6
2017-04-25	@ Tulevik Viljandi	L 1-2	45.0	1009	1010	38.79%	18.26%	42.95%	-0.11	-7.9	1
2017-04-25	Tammeka	D 1-1	53.3	1188	1147	48.51%	18.17%	33.33%	+0.42	-0.7	10
2017-04-25	@ Paide Linnameeskond	D 1-1	53.3	1147	1188	33.33%	18.17%	48.51%	-0.42	+0.7	10
2017-04-28	Flora	L 0-2	28.1	1018	1519	4.38%	12.20%	83.42%	-3.75	-1.9	6
2017-04-28	@ Tulevik Viljandi	W 2-0	28.1	1519	1018	83.42%	12.20%	4.38%	+3.75	+1.9	23
2017-04-28	Nomme Kalju	L 1-3	37.1	1148	1390	15.58%	16.64%	67.78%	-1.76	-6.0	10
2017-04-28	@ Tammeka	W 3-1	37.1	1390	1148	67.78%	16.64%	15.58%	+1.76	+6.0	20
2017-04-28	Parnu Vaprus	W 8-0	24.9	1493	1001	84.12%	11.87%	4.01%	+3.89	+6.2	23
2017-04-28	@ Levadia	L 0-8	24.9	1001	1493	4.01%	11.87%	84.12%	-3.89	-6.2	1
2017-04-29	Sillamae Kalev	W 3-1	42.8	1253	1215	48.02%	18.18%	33.80%	+0.39	+12.2	16
2017-04-29	@ Narva Trans	L 1-3	42.8	1215	1253	33.80%	18.18%	48.02%	-0.39	-12.2	5
2017-04-30	Paide Linnameeskond	W 6-1	34.2	1380	1187	65.77%	16.93%	17.30%	+1.59	+14.9	13
2017-04-30	@ Infonet	L 1-6	34.2	1187	1380	17.30%	16.93%	65.77%	-1.59	-14.9	10
2017-05-05	Levadia	L 1-2	33.2	995	1499	4.32%	12.15%	83.54%	-3.77	-0.9	1
2017-05-05	@ Parnu Vaprus	W 2-1	33.2	1499	995	83.54%	12.15%	4.32%	+3.77	+0.9	26
2017-05-05	Narva Trans	D 1-1	53.6	1203	1265	34.15%	18.19%	47.66%	-0.37	+0.6	6
2017-05-05	@ Sillamae Kalev	D 1-1	53.6	1265	1203	47.66%	18.19%	34.15%	+0.37	-0.6	17
2017-05-05	Tulevik Viljandi	W 7-0	24.8	1521	1016	84.63%	11.62%	3.75%	+3.99	+5.1	26
2017-05-05	@ Flora	L 0-7	24.8	1016	1521	3.75%	11.62%	84.63%	-3.99	-5.1	6
2017-05-06	Infonet	D 1-1	54.3	1172	1395	17.08%	16.89%	66.03%	-1.61	+2.4	11
2017-05-06	@ Paide Linnameeskond	D 1-1	54.3	1395	1172	66.03%	16.89%	17.08%	+1.61	-2.4	14
2017-05-06	Tammeka	W 5-1	33.7	1396	1142	70.97%	16.08%	12.95%	+2.06	+9.2	23
2017-05-06	@ Nomme Kalju	L 1-5	33.7	1142	1396	12.95%	16.08%	70.97%	-2.06	-9.2	10
2017-05-12	Levadia	L 1-2	48.8	1405	1500	29.93%	18.05%	52.03%	-0.63	-6.3	23
2017-05-12	@ Nomme Kalju	W 2-1	48.8	1500	1405	52.03%	18.05%	29.93%	+0.63	+6.3	29
2017-05-12	Paide Linnameeskond	D 0-0	50.1	1132	1175	36.78%	18.24%	44.98%	-0.22	+0.4	11
2017-05-12	@ Tammeka	D 0-0	50.1	1175	1132	44.98%	18.24%	36.78%	+0.22	-0.4	12
2017-05-13	Flora	L 0-2	35.1	1264	1526	14.19%	16.36%	69.44%	-1.91	-6.4	17
2017-05-13	@ Narva Trans	W 2-0	35.1	1526	1264	69.44%	16.36%	14.19%	+1.91	+6.3	29
2017-05-13	Sillamae Kalev	W 3-0	32.5	1393	1204	65.43%	16.97%	17.60%	+1.56	+11.4	17
2017-05-13	@ Infonet	L 0-3	32.5	1204	1393	17.60%	16.97%	65.43%	-1.56	-11.4	6
2017-05-13	Tulevik Viljandi	W 2-0	40.4	994	1011	40.36%	18.27%	41.37%	-0.03	+16.6	4
2017-05-13	@ Parnu Vaprus	L 0-2	40.4	1011	994	41.37%	18.27%	40.36%	+0.03	-16.6	6
2017-05-19	Parnu Vaprus	W 3-0	30.2	1258	1011	70.40%	16.19%	13.41%	+2.00	+8.7	20
2017-05-19	@ Narva Trans	L 0-3	30.2	1011	1258	13.41%	16.19%	70.40%	-2.00	-8.7	4
2017-05-19	Infonet	W 3-0	41.1	1533	1404	59.27%	17.61%	23.12%	+1.09	+14.7	32
2017-05-19	@ Flora	L 0-3	41.1	1404	1533	23.12%	17.61%	59.27%	-1.09	-14.6	17
2017-05-20	Nomme Kalju	L 0-2	29.0	995	1399	7.13%	14.02%	78.86%	-3.00	-3.1	6
2017-05-20	@ Tulevik Viljandi	W 2-0	29.0	1399	995	78.86%	14.02%	7.13%	+3.00	+3.2	26
2017-05-20	Paide Linnameeskond	W 2-0	39.1	1192	1174	45.29%	18.23%	36.47%	+0.24	+15.0	9
2017-05-20	@ Sillamae Kalev	L 0-2	39.1	1174	1192	36.47%	18.23%	45.29%	-0.24	-15.0	12
2017-05-20	Tammeka	W 2-1	35.5	1507	1133	78.68%	14.08%	7.24%	+2.98	+1.6	32
2017-05-20	@ Levadia	L 1-2	35.5	1133	1507	7.24%	14.08%	78.68%	-2.98	-1.6	11
2017-05-22	Parnu Vaprus	W 11-1	26.8	1389	1002	79.39%	13.83%	6.78%	+3.08	+11.1	20
2017-05-22	@ Infonet	L 1-11	26.8	1002	1389	6.78%	13.83%	79.39%	-3.08	-11.1	4
2017-05-23	Flora	L 1-3	35.4	1159	1547	7.72%	14.31%	77.97%	-2.88	-3.0	12
2017-05-23	@ Paide Linnameeskond	W 3-1	35.4	1547	1159	77.97%	14.31%	7.72%	+2.88	+3.0	35
2017-05-23	Narva Trans	W 2-0	36.0	1402	1267	59.99%	17.55%	22.46%	+1.14	+9.8	29
2017-05-23	@ Nomme Kalju	L 0-2	36.0	1267	1402	22.46%	17.55%	59.99%	-1.14	-9.8	20
2017-05-23	Tammeka	W 2-0	36.7	1207	1131	53.03%	18.00%	28.96%	+0.69	+12.3	12
2017-05-23	@ Sillamae Kalev	L 0-2	36.7	1131	1207	28.96%	18.00%	53.03%	-0.69	-12.3	11
2017-05-23	Tulevik Viljandi	W 5-0	24.7	1508	991	85.07%	11.40%	3.53%	+4.08	+3.5	35
2017-05-23	@ Levadia	L 0-5	24.7	991	1508	3.53%	11.40%	85.07%	-4.08	-3.5	6
2017-05-29	Sillamae Kalev	W 3-2	42.4	1550	1219	76.22%	14.84%	8.95%	+2.65	+1.9	38
2017-05-29	@ Flora	L 2-3	42.4	1219	1550	8.95%	14.84%	76.22%	-2.65	-1.9	12
2017-05-30	Levadia	D 0-0	53.5	1257	1512	14.70%	16.47%	68.84%	-1.86	+3.0	21
2017-05-30	@ Narva Trans	D 0-0	53.5	1512	1257	68.84%	16.47%	14.70%	+1.86	-3.0	36
2017-05-30	Nomme Kalju	D 2-2	61.4	1400	1412	41.19%	18.27%	40.54%	+0.02	-0.0	21
2017-05-30	@ Infonet	D 2-2	61.4	1412	1400	40.54%	18.27%	41.19%	-0.02	+0.0	30
2017-05-30	Paide Linnameeskond	L 0-4	32.2	991	1156	22.15%	17.52%	60.32%	-1.17	-18.4	4
2017-05-30	@ Parnu Vaprus	W 4-0	32.2	1156	991	60.32%	17.52%	22.15%	+1.17	+18.4	15
2017-05-30	Tammeka	D 1-1	53.3	988	1119	25.76%	17.82%	56.42%	-0.90	+1.5	7
2017-05-30	@ Tulevik Viljandi	D 1-1	53.3	1119	988	56.42%	17.82%	25.76%	+0.90	-1.5	12
2017-06-02	Narva Trans	L 1-2	36.9	989	1260	13.65%	16.24%	70.11%	-1.98	-3.1	7
2017-06-02	@ Tulevik Viljandi	W 2-1	36.9	1260	989	70.11%	16.24%	13.65%	+1.98	+3.1	24
2017-06-02	Parnu Vaprus	L 1-3	52.8	1218	973	70.23%	16.22%	13.55%	+1.99	-23.3	12
2017-06-02	@ Sillamae Kalev	W 3-1	52.8	973	1218	13.55%	16.22%	70.23%	-1.99	+23.3	7
2017-06-02	Infonet	W 1-0	43.6	1509	1400	56.93%	17.78%	25.29%	+0.94	+5.8	39
2017-06-02	@ Levadia	L 0-1	43.6	1400	1509	25.29%	17.78%	56.93%	-0.94	-5.8	21
2017-06-03	Flora	L 0-2	29.9	1117	1552	6.12%	13.45%	80.44%	-3.24	-2.7	12
2017-06-03	@ Tammeka	W 2-0	29.9	1552	1117	80.44%	13.45%	6.12%	+3.24	+2.7	41
2017-06-03	Nomme Kalju	L 0-1	34.6	1175	1412	15.99%	16.71%	67.30%	-1.72	-3.8	15
2017-06-03	@ Paide Linnameeskond	W 1-0	34.6	1412	1175	67.30%	16.71%	15.99%	+1.72	+3.8	33
2017-06-16	Flora	L 0-10	24.8	996	1555	3.26%	11.11%	85.63%	-4.20	-6.2	7
2017-06-16	@ Parnu Vaprus	W 10-0	24.8	1555	996	85.63%	11.11%	3.26%	+4.20	+6.2	44
2017-06-16	Levadia	L 2-5	38.2	1171	1514	9.61%	15.09%	75.30%	-2.54	-4.6	15
2017-06-16	@ Paide Linnameeskond	W 5-2	38.2	1514	1171	75.30%	15.09%	9.61%	+2.54	+4.5	42
2017-06-16	Sillamae Kalev	W 8-0	30.2	1416	1194	68.29%	16.56%	15.16%	+1.81	+24.8	36
2017-06-16	@ Nomme Kalju	L 0-8	30.2	1194	1416	15.16%	16.56%	68.29%	-1.81	-24.8	12
2017-06-16	Infonet	L 0-2	28.9	986	1395	6.98%	13.94%	79.08%	-3.04	-3.1	7
2017-06-16	@ Tulevik Viljandi	W 2-0	28.9	1395	986	79.08%	13.94%	6.98%	+3.04	+3.1	24
2017-06-16	Tammeka	L 1-2	51.7	1263	1115	61.37%	17.43%	21.20%	+1.24	-11.8	24
2017-06-16	@ Narva Trans	W 2-1	51.7	1115	1263	21.20%	17.43%	61.37%	-1.24	+11.8	15
2017-06-19	Levadia	D 1-1	55.9	1170	1519	9.33%	14.99%	75.68%	-2.58	+3.4	13
2017-06-19	@ Sillamae Kalev	D 1-1	55.9	1519	1170	75.68%	14.99%	9.33%	+2.58	-3.4	43
2017-06-19	Narva Trans	W 4-1	38.6	1398	1251	61.20%	17.44%	21.35%	+1.23	+11.5	27
2017-06-19	@ Infonet	L 1-4	38.6	1251	1398	21.35%	17.44%	61.20%	-1.23	-11.5	24
2017-06-19	Nomme Kalju	W 2-0	45.0	1561	1440	58.39%	17.68%	23.93%	+1.03	+10.4	47
2017-06-19	@ Flora	L 0-2	45.0	1440	1561	23.93%	17.68%	58.39%	-1.03	-10.4	36
2017-06-30	Tulevik Viljandi	L 1-2	52.5	1167	983	64.87%	17.04%	18.09%	+1.51	-12.5	15
2017-06-30	@ Paide Linnameeskond	W 2-1	52.5	983	1167	18.09%	17.04%	64.87%	-1.51	+12.5	10
2017-07-01	Parnu Vaprus	W 2-1	39.8	1126	990	60.15%	17.54%	22.32%	+1.16	+4.9	18
2017-07-01	@ Tammeka	L 1-2	39.8	990	1126	22.32%	17.54%	60.15%	-1.16	-4.9	7
2017-07-07	Tulevik Viljandi	W 1-0	34.7	1173	996	64.29%	17.11%	18.60%	+1.47	+4.4	16
2017-07-07	@ Sillamae Kalev	L 0-1	34.7	996	1173	18.60%	17.11%	64.29%	-1.47	-4.4	10
2017-07-08	Paide Linnameeskond	D 1-1	53.5	1240	1154	54.21%	17.95%	27.84%	+0.76	-1.3	25
2017-07-08	@ Narva Trans	D 1-1	53.5	1154	1240	27.84%	17.95%	54.21%	-0.76	+1.2	16
2017-07-08	Tammeka	W 2-1	36.7	1409	1131	72.70%	15.72%	11.58%	+2.24	+2.6	30
2017-07-08	@ Infonet	L 1-2	36.7	1131	1409	11.58%	15.72%	72.70%	-2.24	-2.6	18
2017-07-09	Flora	D 0-0	63.1	1516	1572	34.95%	18.21%	46.84%	-0.33	+0.6	44
2017-07-09	@ Levadia	D 0-0	63.1	1572	1516	46.84%	18.21%	34.95%	+0.33	-0.6	48
2017-07-09	Parnu Vaprus	W 3-0	26.8	1430	985	82.17%	12.75%	5.08%	+3.53	+3.2	39
2017-07-09	@ Nomme Kalju	L 0-3	26.8	985	1430	5.08%	12.75%	82.17%	-3.53	-3.2	7
2017-07-14	Levadia	D 3-3	74.8	1571	1516	50.30%	18.11%	31.58%	+0.53	-0.5	49
2017-07-14	@ Flora	D 3-3	74.8	1516	1571	31.58%	18.11%	50.30%	-0.53	+0.5	45
2017-07-14	Infonet	L 1-4	34.9	1129	1412	12.85%	16.06%	71.09%	-2.07	-7.1	18
2017-07-14	@ Tammeka	W 4-1	34.9	1412	1129	71.09%	16.06%	12.85%	+2.07	+7.1	33
2017-07-15	Paide Linnameeskond	D 1-1	53.4	982	1155	21.36%	17.44%	61.20%	-1.23	+2.0	8
2017-07-15	@ Parnu Vaprus	D 1-1	53.4	1155	982	61.20%	17.44%	21.36%	+1.23	-1.9	17
2017-07-15	Sillamae Kalev	L 0-3	32.5	991	1177	20.21%	17.32%	62.47%	-1.33	-12.9	10
2017-07-15	@ Tulevik Viljandi	W 3-0	32.5	1177	991	62.47%	17.32%	20.21%	+1.33	+12.9	19
2017-07-21	Narva Trans	W 2-0	33.4	1517	1238	72.74%	15.71%	11.55%	+2.25	+5.2	48
2017-07-21	@ Levadia	L 0-2	33.4	1238	1517	11.55%	15.71%	72.74%	-2.25	-5.2	25
2017-07-21	Parnu Vaprus	W 7-1	28.0	1419	984	81.73%	12.94%	5.33%	+3.45	+5.3	36
2017-07-21	@ Infonet	L 1-7	28.0	984	1419	5.33%	12.94%	81.73%	-3.45	-5.3	8
2017-07-22	Flora	L 2-3	39.8	1122	1570	5.71%	13.19%	81.10%	-3.35	-1.2	18
2017-07-22	@ Tammeka	W 3-2	39.8	1570	1122	81.10%	13.19%	5.71%	+3.35	+1.2	52
2017-07-22	Sillamae Kalev	L 0-3	38.1	1153	1190	37.56%	18.25%	44.19%	-0.18	-22.3	17
2017-07-22	@ Paide Linnameeskond	W 3-0	38.1	1190	1153	44.19%	18.25%	37.56%	+0.18	+22.3	22
2017-07-23	Tulevik Viljandi	W 5-1	29.8	1433	978	82.59%	12.57%	4.84%	+3.60	+3.3	42
2017-07-23	@ Nomme Kalju	L 1-5	29.8	978	1433	4.84%	12.57%	82.59%	-3.60	-3.3	10
2017-07-28	Levadia	W 1-0	53.4	975	1522	3.48%	11.34%	85.18%	-4.10	+16.7	13
2017-07-28	@ Tulevik Viljandi	L 0-1	53.4	1522	975	85.18%	11.34%	3.48%	+4.10	-16.7	48
2017-07-28	Infonet	L 1-4	37.4	1213	1424	17.98%	17.03%	65.00%	-1.52	-9.8	22
2017-07-28	@ Sillamae Kalev	W 4-1	37.4	1424	1213	65.00%	17.03%	17.98%	+1.52	+9.8	39
2017-07-29	Narva Trans	W 1-0	34.7	1572	1233	76.67%	14.71%	8.62%	+2.71	+2.0	55
2017-07-29	@ Flora	L 0-1	34.7	1233	1572	8.62%	14.71%	76.67%	-2.71	-2.0	25
2017-07-29	Nomme Kalju	L 0-4	29.2	1131	1436	11.55%	15.71%	72.73%	-2.24	-9.8	17
2017-07-29	@ Paide Linnameeskond	W 4-0	29.2	1436	1131	72.73%	15.71%	11.55%	+2.24	+9.8	45
2017-07-29	Tammeka	L 0-3	33.9	978	1121	24.53%	17.73%	57.74%	-0.99	-15.5	8
2017-07-29	@ Parnu Vaprus	W 3-0	33.9	1121	978	57.74%	17.73%	24.53%	+0.99	+15.5	21
2017-08-01	Nomme Kalju	L 0-3	33.2	1231	1446	17.69%	16.98%	65.32%	-1.55	-11.4	25
2017-08-01	@ Narva Trans	W 3-0	33.2	1446	1231	65.32%	16.98%	17.69%	+1.55	+11.4	48
2017-08-04	Nomme Kalju	L 1-2	51.3	1434	1458	39.42%	18.26%	42.32%	-0.08	-8.0	39
2017-08-04	@ Infonet	W 2-1	51.3	1458	1434	42.32%	18.26%	39.42%	+0.08	+8.0	51
2017-08-04	Sillamae Kalev	W 3-1	46.9	1136	1203	33.51%	18.17%	48.31%	-0.41	+16.4	24
2017-08-04	@ Tammeka	L 1-3	46.9	1203	1136	48.31%	18.17%	33.51%	+0.41	-16.4	22
2017-08-04	Tulevik Viljandi	L 1-2	53.5	1220	992	68.85%	16.46%	14.69%	+1.86	-13.2	25
2017-08-04	@ Narva Trans	W 2-1	53.5	992	1220	14.69%	16.46%	68.85%	-1.86	+13.2	16
2017-08-05	Flora	L 1-8	25.9	963	1574	2.50%	10.15%	87.35%	-4.59	-2.7	8
2017-08-05	@ Parnu Vaprus	W 8-1	25.9	1574	963	87.35%	10.15%	2.50%	+4.59	+2.7	58
2017-08-05	Paide Linnameeskond	W 8-0	27.0	1505	1121	79.22%	13.89%	6.89%	+3.06	+11.1	51
2017-08-05	@ Levadia	L 0-8	27.0	1121	1505	6.89%	13.89%	79.22%	-3.06	-11.1	17
2017-08-11	Levadia	W 2-1	56.6	1426	1516	30.51%	18.07%	51.41%	-0.59	+10.0	42
2017-08-11	@ Infonet	L 1-2	56.6	1516	1426	51.41%	18.07%	30.51%	+0.59	-10.0	51
2017-08-11	Narva Trans	W 3-1	48.0	1110	1207	29.77%	18.04%	52.19%	-0.64	+17.6	20
2017-08-11	@ Paide Linnameeskond	L 1-3	48.0	1207	1110	52.19%	18.04%	29.77%	+0.64	-17.6	25
2017-08-11	Tulevik Viljandi	W 3-2	37.0	1576	1005	86.95%	10.38%	2.67%	+4.50	+0.5	61
2017-08-11	@ Flora	L 2-3	37.0	1005	1576	2.67%	10.38%	86.95%	-4.50	-0.5	16
2017-08-12	Parnu Vaprus	W 9-0	29.2	1186	960	68.71%	16.49%	14.81%	+1.84	+27.1	25
2017-08-12	@ Sillamae Kalev	L 0-9	29.2	960	1186	14.81%	16.49%	68.71%	-1.84	-27.1	8
2017-08-12	Tammeka	W 1-0	32.5	1466	1152	75.10%	15.14%	9.76%	+2.51	+2.3	54
2017-08-12	@ Nomme Kalju	L 0-1	32.5	1152	1466	9.76%	15.14%	75.10%	-2.51	-2.3	24
2017-08-14	Paide Linnameeskond	L 1-4	39.0	1005	1128	26.61%	17.87%	55.51%	-0.84	-14.0	16
2017-08-14	@ Tulevik Viljandi	W 4-1	39.0	1128	1005	55.51%	17.87%	26.61%	+0.84	+14.0	23
2017-08-15	Flora	L 0-3	31.7	1213	1577	8.71%	14.74%	76.55%	-2.69	-5.6	25
2017-08-15	@ Sillamae Kalev	W 3-0	31.7	1577	1213	76.55%	14.74%	8.71%	+2.69	+5.6	64
2017-08-15	Levadia	L 1-4	34.2	1150	1506	9.03%	14.87%	76.10%	-2.64	-4.9	24
2017-08-15	@ Tammeka	W 4-1	34.2	1506	1150	76.10%	14.87%	9.03%	+2.64	+4.9	54
2017-08-15	Nomme Kalju	L 1-6	28.0	933	1468	3.69%	11.57%	84.74%	-4.01	-3.0	8
2017-08-15	@ Parnu Vaprus	W 6-1	28.0	1468	933	84.74%	11.57%	3.69%	+4.01	+3.0	57
2017-08-15	Infonet	L 1-3	37.5	1189	1436	15.24%	16.57%	68.19%	-1.80	-5.9	25
2017-08-15	@ Narva Trans	W 3-1	37.5	1436	1189	68.19%	16.57%	15.24%	+1.80	+5.9	45
2017-08-18	Nomme Kalju	L 1-2	38.7	1208	1471	14.13%	16.35%	69.52%	-1.92	-3.2	25
2017-08-18	@ Sillamae Kalev	W 2-1	38.7	1471	1208	69.52%	16.35%	14.13%	+1.92	+3.2	60
2017-08-18	Paide Linnameeskond	W 3-0	28.9	1582	1142	81.98%	12.83%	5.19%	+3.49	+3.3	67
2017-08-18	@ Flora	L 0-3	28.9	1142	1582	5.19%	12.83%	81.98%	-3.49	-3.3	23
2017-08-18	Tulevik Viljandi	W 7-0	25.1	1442	991	82.45%	12.63%	4.92%	+3.58	+6.8	48
2017-08-18	@ Infonet	L 0-7	25.1	991	1442	4.92%	12.63%	82.45%	-3.58	-6.8	16
2017-08-19	Narva Trans	L 0-2	39.3	1145	1183	37.43%	18.25%	44.32%	-0.19	-15.3	24
2017-08-19	@ Tammeka	W 2-0	39.3	1183	1145	44.32%	18.25%	37.43%	+0.19	+15.3	28
2017-08-19	Parnu Vaprus	W 3-0	25.3	1511	930	87.27%	10.20%	2.53%	+4.57	+1.5	57
2017-08-19	@ Levadia	L 0-3	25.3	930	1511	2.53%	10.20%	87.27%	-4.57	-1.5	8
2017-08-21	Infonet	L 1-3	35.8	1139	1449	11.28%	15.63%	73.08%	-2.28	-4.4	23
2017-08-21	@ Paide Linnameeskond	W 3-1	35.8	1449	1139	73.08%	15.63%	11.28%	+2.28	+4.4	51
2017-08-22	Flora	L 0-1	49.9	1474	1586	27.95%	17.95%	54.10%	-0.75	-6.3	60
2017-08-22	@ Nomme Kalju	W 1-0	49.9	1586	1474	54.10%	17.95%	27.95%	+0.75	+6.3	70
2017-08-22	Levadia	L 0-9	30.0	1205	1513	11.40%	15.67%	72.93%	-2.27	-20.9	25
2017-08-22	@ Sillamae Kalev	W 9-0	30.0	1513	1205	72.93%	15.67%	11.40%	+2.27	+20.9	60
2017-08-22	Narva Trans	L 0-1	33.0	929	1198	13.69%	16.25%	70.06%	-1.97	-3.2	8
2017-08-22	@ Parnu Vaprus	W 1-0	33.0	1198	929	70.06%	16.25%	13.69%	+1.97	+3.3	31
2017-08-22	Tulevik Viljandi	W 2-1	39.5	1130	984	61.16%	17.45%	21.40%	+1.23	+4.7	27
2017-08-22	@ Tammeka	L 1-2	39.5	984	1130	21.40%	17.45%	61.16%	-1.23	-4.7	16
2017-08-25	Parnu Vaprus	W 4-1	40.6	979	925	50.17%	18.12%	31.72%	+0.52	+16.3	19
2017-08-25	@ Tulevik Viljandi	L 1-4	40.6	925	979	31.72%	18.12%	50.17%	-0.52	-16.3	8
2017-08-25	Infonet	L 2-4	66.0	1592	1453	60.39%	17.52%	22.09%	+1.17	-18.0	70
2017-08-25	@ Flora	W 4-2	66.0	1453	1592	22.09%	17.52%	60.39%	-1.17	+18.0	54
2017-08-25	Tammeka	D 1-1	53.2	1134	1135	42.74%	18.26%	39.00%	+0.10	-0.2	24
2017-08-25	@ Paide Linnameeskond	D 1-1	53.2	1135	1134	39.00%	18.26%	42.74%	-0.10	+0.2	28
2017-08-26	Nomme Kalju	W 2-0	47.0	1534	1468	51.74%	18.06%	30.20%	+0.61	+12.8	63
2017-08-26	@ Levadia	L 0-2	47.0	1468	1534	30.20%	18.06%	51.74%	-0.61	-12.8	60
2017-08-26	Sillamae Kalev	D 1-1	53.4	1202	1184	45.31%	18.23%	36.46%	+0.24	-0.4	32
2017-08-26	@ Narva Trans	D 1-1	53.4	1184	1202	36.46%	18.23%	45.31%	-0.24	+0.4	26
2017-09-08	Levadia	D 1-1	63.3	1455	1546	30.39%	18.07%	51.55%	-0.60	+1.0	61
2017-09-08	@ Nomme Kalju	D 1-1	63.3	1546	1455	51.55%	18.07%	30.39%	+0.60	-1.0	64
2017-09-08	Paide Linnameeskond	D 1-1	53.2	1135	1134	42.91%	18.26%	38.83%	+0.11	-0.2	29
2017-09-08	@ Tammeka	D 1-1	53.2	1134	1135	38.83%	18.26%	42.91%	-0.11	+0.2	25
2017-09-08	Tulevik Viljandi	L 2-3	47.0	909	995	31.01%	18.09%	50.90%	-0.56	-6.2	8
2017-09-08	@ Parnu Vaprus	W 3-2	47.0	995	909	50.90%	18.09%	31.01%	+0.56	+6.2	22
2017-09-09	Flora	L 1-3	52.6	1471	1574	28.98%	18.00%	53.02%	-0.69	-10.7	54
2017-09-09	@ Infonet	W 3-1	52.6	1574	1471	53.02%	18.00%	28.98%	+0.69	+10.7	73
2017-09-09	Narva Trans	W 3-1	44.9	1184	1201	40.36%	18.27%	41.37%	-0.03	+14.4	29
2017-09-09	@ Sillamae Kalev	L 1-3	44.9	1201	1184	41.37%	18.27%	40.36%	+0.03	-14.4	32
2017-09-11	Tulevik Viljandi	D 1-1	53.4	1135	1002	59.74%	17.57%	22.69%	+1.13	-1.8	30
2017-09-11	@ Tammeka	D 1-1	53.4	1002	1135	22.69%	17.57%	59.74%	-1.13	+1.8	23
2017-09-12	Nomme Kalju	L 0-4	54.9	1585	1456	59.27%	17.61%	23.12%	+1.09	-43.4	73
2017-09-12	@ Flora	W 4-0	54.9	1456	1585	23.12%	17.61%	59.27%	-1.09	+43.4	64
2017-09-12	Paide Linnameeskond	W 6-1	31.4	1460	1134	75.93%	14.92%	9.15%	+2.61	+7.9	57
2017-09-12	@ Infonet	L 1-6	31.4	1134	1460	9.15%	14.92%	75.93%	-2.61	-7.9	25
2017-09-12	Parnu Vaprus	W 3-1	34.9	1187	903	73.14%	15.62%	11.24%	+2.29	+4.4	35
2017-09-12	@ Narva Trans	L 1-3	34.9	903	1187	11.24%	15.62%	73.14%	-2.29	-4.4	8
2017-09-12	Sillamae Kalev	W 5-0	29.2	1545	1199	77.16%	14.56%	8.28%	+2.77	+8.6	67
2017-09-12	@ Levadia	L 0-5	29.2	1199	1545	8.28%	14.56%	77.16%	-2.77	-8.6	29
2017-09-15	Levadia	L 0-4	24.0	898	1554	1.98%	9.35%	88.67%	-4.94	-1.5	8
2017-09-15	@ Parnu Vaprus	W 4-0	24.0	1554	898	88.67%	9.35%	1.98%	+4.94	+1.5	70
2017-09-16	Flora	L 1-2	35.6	1126	1541	6.75%	13.82%	79.43%	-3.09	-1.5	25
2017-09-16	@ Paide Linnameeskond	W 2-1	35.6	1541	1126	79.43%	13.82%	6.75%	+3.09	+1.5	76
2017-09-16	Nomme Kalju	D 0-0	52.5	1190	1499	11.33%	15.65%	73.03%	-2.28	+3.5	30
2017-09-16	@ Sillamae Kalev	D 0-0	52.5	1499	1190	73.03%	15.65%	11.33%	+2.28	-3.5	65
2017-09-16	Infonet	D 1-1	55.2	1003	1468	5.26%	12.89%	81.86%	-3.47	+3.9	24
2017-09-16	@ Tulevik Viljandi	D 1-1	55.2	1468	1003	81.86%	12.89%	5.26%	+3.47	-3.9	58
2017-09-16	Tammeka	W 3-1	41.7	1191	1133	50.78%	18.10%	31.13%	+0.55	+11.4	38
2017-09-16	@ Narva Trans	L 1-3	41.7	1133	1191	31.13%	18.10%	50.78%	-0.55	-11.4	30
2017-09-22	Narva Trans	L 1-3	54.6	1464	1202	71.54%	15.97%	12.49%	+2.12	-23.7	58
2017-09-22	@ Infonet	W 3-1	54.6	1202	1464	12.49%	15.97%	71.54%	-2.12	+23.7	41
2017-09-23	Flora	L 1-2	37.6	1193	1543	9.33%	14.99%	75.68%	-2.58	-2.1	30
2017-09-23	@ Sillamae Kalev	W 2-1	37.6	1543	1193	75.68%	14.99%	9.33%	+2.58	+2.1	79
2017-09-23	Parnu Vaprus	W 6-0	23.4	1496	897	87.81%	9.88%	2.31%	+4.71	+2.6	68
2017-09-23	@ Nomme Kalju	L 0-6	23.4	897	1496	2.31%	9.88%	87.81%	-4.71	-2.6	8
2017-09-23	Tammeka	W 3-1	34.0	1555	1121	81.68%	12.96%	5.36%	+3.44	+2.0	73
2017-09-23	@ Levadia	L 1-3	34.0	1121	1555	5.36%	12.96%	81.68%	-3.44	-2.0	30
2017-09-23	Tulevik Viljandi	W 4-2	43.5	1125	1007	58.01%	17.71%	24.28%	+1.01	+8.2	28
2017-09-23	@ Paide Linnameeskond	L 2-4	43.5	1007	1125	24.28%	17.71%	58.01%	-1.01	-8.2	24
2017-09-29	Nomme Kalju	L 0-3	29.0	1119	1499	8.06%	14.47%	77.47%	-2.81	-5.2	30
2017-09-29	@ Tammeka	W 3-0	29.0	1499	1119	77.47%	14.47%	8.06%	+2.81	+5.2	71
2017-09-30	Flora	D 2-2	60.2	999	1545	3.49%	11.36%	85.15%	-4.09	+3.1	25
2017-09-30	@ Tulevik Viljandi	D 2-2	60.2	1545	999	85.15%	11.36%	3.49%	+4.09	-3.1	80
2017-09-30	Paide Linnameeskond	L 0-1	46.0	1226	1133	55.16%	17.89%	26.95%	+0.82	-11.4	41
2017-09-30	@ Narva Trans	W 1-0	46.0	1133	1226	26.95%	17.89%	55.16%	-0.82	+11.3	31
2017-09-30	Sillamae Kalev	L 2-7	33.6	894	1191	12.02%	15.84%	72.14%	-2.18	-8.7	8
2017-09-30	@ Parnu Vaprus	W 7-2	33.6	1191	894	72.14%	15.84%	12.02%	+2.18	+8.7	33
2017-09-30	Infonet	W 3-2	54.8	1557	1441	57.92%	17.72%	24.37%	+1.00	+5.0	76
2017-09-30	@ Levadia	L 2-3	54.8	1441	1557	24.37%	17.72%	57.92%	-1.00	-5.0	58
2017-10-13	Infonet	L 2-4	59.7	1504	1436	52.01%	18.05%	29.94%	+0.63	-15.7	71
2017-10-13	@ Nomme Kalju	W 4-2	59.7	1436	1504	29.94%	18.05%	52.01%	-0.63	+15.7	61
2017-10-14	Levadia	L 0-4	28.4	1144	1563	6.64%	13.76%	79.60%	-3.11	-5.5	31
2017-10-14	@ Paide Linnameeskond	W 4-0	28.4	1563	1144	79.60%	13.76%	6.64%	+3.11	+5.5	79
2017-10-14	Narva Trans	L 0-1	34.5	1002	1215	17.88%	17.01%	65.11%	-1.53	-4.2	25
2017-10-14	@ Tulevik Viljandi	W 1-0	34.5	1215	1002	65.11%	17.01%	17.88%	+1.53	+4.2	44
2017-10-14	Parnu Vaprus	W 3-0	24.6	1542	886	89.42%	8.87%	1.71%	+5.15	+1.0	83
2017-10-14	@ Flora	L 0-3	24.6	886	1542	1.71%	8.87%	89.42%	-5.15	-1.0	8
2017-10-14	Tammeka	L 1-2	49.6	1200	1114	54.27%	17.94%	27.79%	+0.76	-10.5	33
2017-10-14	@ Sillamae Kalev	W 2-1	49.6	1114	1200	27.79%	17.94%	54.27%	-0.76	+10.5	33
2017-10-20	Flora	L 0-7	30.2	1219	1543	10.57%	15.41%	74.02%	-2.39	-15.2	44
2017-10-20	@ Narva Trans	W 7-0	30.2	1543	1219	74.02%	15.41%	10.57%	+2.39	+15.2	86
2017-10-21	Paide Linnameeskond	D 2-2	59.8	1488	1139	77.31%	14.52%	8.17%	+2.79	-2.6	72
2017-10-21	@ Nomme Kalju	D 2-2	59.8	1139	1488	8.17%	14.52%	77.31%	-2.79	+2.6	32
2017-10-21	Parnu Vaprus	W 2-1	36.9	1125	885	69.85%	16.29%	13.86%	+1.95	+3.1	36
2017-10-21	@ Tammeka	L 1-2	36.9	885	1125	13.86%	16.29%	69.85%	-1.95	-3.1	8
2017-10-21	Infonet	W 1-0	51.0	1190	1451	14.21%	16.37%	69.42%	-1.91	+14.1	36
2017-10-21	@ Sillamae Kalev	L 0-1	51.0	1451	1190	69.42%	16.37%	14.21%	+1.91	-14.1	61
2017-10-21	Tulevik Viljandi	W 6-0	24.3	1568	998	86.92%	10.40%	2.68%	+4.49	+3.1	82
2017-10-21	@ Levadia	L 0-6	24.3	998	1568	2.68%	10.40%	86.92%	-4.49	-3.1	25
2017-10-27	Levadia	D 0-0	54.2	1204	1571	8.55%	14.68%	76.78%	-2.72	+3.9	45
2017-10-27	@ Narva Trans	D 0-0	54.2	1571	1204	76.78%	14.68%	8.55%	+2.72	-3.9	83
2017-10-28	Nomme Kalju	L 1-3	32.3	995	1485	4.62%	12.40%	82.97%	-3.67	-1.7	25
2017-10-28	@ Tulevik Viljandi	W 3-1	32.3	1485	995	82.97%	12.40%	4.62%	+3.67	+1.7	75
2017-10-28	Paide Linnameeskond	L 1-3	47.8	1204	1141	51.29%	18.08%	30.63%	+0.58	-17.3	36
2017-10-28	@ Sillamae Kalev	W 3-1	47.8	1141	1204	30.63%	18.08%	51.29%	-0.58	+17.3	35
2017-10-28	Infonet	L 1-4	30.1	881	1437	3.32%	11.17%	85.51%	-4.17	-1.7	8
2017-10-28	@ Parnu Vaprus	W 4-1	30.1	1437	881	85.51%	11.17%	3.32%	+4.17	+1.7	64
2017-10-28	Tammeka	W 2-0	29.8	1558	1128	81.50%	13.03%	5.47%	+3.41	+2.4	89
2017-10-28	@ Flora	L 0-2	29.8	1128	1558	5.47%	13.03%	81.50%	-3.41	-2.4	36
2017-11-04	Flora	D 0-0	64.4	1567	1560	43.77%	18.25%	37.98%	+0.16	-0.3	84
2017-11-04	@ Levadia	D 0-0	64.4	1560	1567	37.98%	18.25%	43.77%	-0.16	+0.3	90
2017-11-04	Narva Trans	W 8-1	31.5	1487	1208	72.82%	15.69%	11.49%	+2.25	+13.6	78
2017-11-04	@ Nomme Kalju	L 1-8	31.5	1208	1487	11.49%	15.69%	72.82%	-2.25	-13.6	45
2017-11-04	Parnu Vaprus	W 3-2	40.5	1159	880	72.78%	15.70%	11.51%	+2.25	+2.4	38
2017-11-04	@ Paide Linnameeskond	L 2-3	40.5	880	1159	11.51%	15.70%	72.78%	-2.25	-2.5	8
2017-11-04	Tammeka	D 1-1	54.8	1439	1125	75.13%	15.13%	9.73%	+2.52	-3.3	65
2017-11-04	@ Infonet	D 1-1	54.8	1125	1439	9.73%	15.13%	75.13%	-2.52	+3.3	37
2017-11-04	Tulevik Viljandi	L 0-1	48.8	1186	993	65.81%	16.92%	17.27%	+1.59	-13.4	36
2017-11-04	@ Sillamae Kalev	W 1-0	48.8	993	1186	17.27%	16.92%	65.81%	-1.59	+13.4	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	2017-07-28	3.48%	@ Tulevik Viljandi	975	1	Levadia	1522	0
2	2017-09-22	12.49%	Narva Trans	1202	3	@ Infonet	1464	1
3	2017-03-03	12.83%	@ Tammeka	1120	2	Infonet	1403	0
4	2017-06-02	13.55%	Parnu Vaprus	973	3	@ Sillamae Kalev	1218	1
5	2017-10-21	14.21%	@ Sillamae Kalev	1190	1	Infonet	1451	0
6	2017-08-04	14.69%	Tulevik Viljandi	992	2	@ Narva Trans	1220	1
7	2017-11-04	17.27%	Tulevik Viljandi	993	1	@ Sillamae Kalev	1186	0
8	2017-03-04	17.66%	@ Tulevik Viljandi	1041	1	Sillamae Kalev	1257	0
9	2017-06-30	18.09%	Tulevik Viljandi	983	2	@ Paide Linnameeskond	1167	1
10	2017-06-16	21.20%	Tammeka	1115	2	@ Narva Trans	1263	1
11	2017-08-25	22.09%	Infonet	1453	4	@ Flora	1592	2
12	2017-09-12	23.12%	Nomme Kalju	1456	4	@ Flora	1585	0
13	2017-04-15	23.77%	@ Narva Trans	1238	1	Nomme Kalju	1387	0
14	2017-09-30	26.95%	Paide Linnameeskond	1133	1	@ Narva Trans	1226	0
15	2017-10-14	27.79%	Tammeka	1114	2	@ Sillamae Kalev	1200	1
16	2017-08-11	29.77%	@ Paide Linnameeskond	1110	3	Narva Trans	1207	1
17	2017-10-13	29.94%	Infonet	1436	4	@ Nomme Kalju	1504	2
18	2017-08-11	30.51%	@ Infonet	1426	2	Levadia	1516	1
19	2017-10-28	30.63%	Paide Linnameeskond	1141	3	@ Sillamae Kalev	1204	1
20	2017-08-04	33.51%	@ Tammeka	1136	3	Sillamae Kalev	1203	1
21	2017-04-21	36.67%	@ Paide Linnameeskond	1179	2	Sillamae Kalev	1222	1
22	2017-03-04	37.82%	Narva Trans	1218	5	@ Paide Linnameeskond	1226	1
23	2017-05-13	40.36%	@ Parnu Vaprus	994	2	Tulevik Viljandi	1011	0
24	2017-09-09	40.36%	@ Sillamae Kalev	1184	3	Narva Trans	1201	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	2017-09-12	43.39	Nomme Kalju	4	1456	23.12%	@ Flora	0	1585	59.27%	17.61%
2	2017-03-04	27.67	Narva Trans	5	1218	37.82%	@ Paide Linnameeskond	1	1226	43.93%	18.25%
3	2017-03-03	27.21	@ Tammeka	2	1120	12.83%	Infonet	0	1403	71.12%	16.05%
4	2017-08-12	27.07	@ Sillamae Kalev	9	1186	68.71%	Parnu Vaprus	0	960	14.81%	16.49%
5	2017-06-16	24.75	@ Nomme Kalju	8	1416	68.29%	Sillamae Kalev	0	1194	15.16%	16.56%
6	2017-09-22	23.69	Narva Trans	3	1202	12.49%	@ Infonet	1	1464	71.54%	15.97%
7	2017-06-02	23.29	Parnu Vaprus	3	973	13.55%	@ Sillamae Kalev	1	1218	70.23%	16.22%
8	2017-07-22	22.33	Sillamae Kalev	3	1190	44.19%	@ Paide Linnameeskond	0	1153	37.56%	18.25%
9	2017-08-22	20.88	Levadia	9	1513	72.93%	@ Sillamae Kalev	0	1205	11.40%	15.67%
10	2017-03-18	18.81	@ Levadia	7	1457	70.85%	Paide Linnameeskond	0	1204	13.05%	16.10%
11	2017-05-30	18.40	Paide Linnameeskond	4	1156	60.32%	@ Parnu Vaprus	0	991	22.15%	17.52%
12	2017-08-25	18.04	Infonet	4	1453	22.09%	@ Flora	2	1592	60.39%	17.52%
13	2017-03-11	17.78	@ Levadia	5	1439	66.03%	Sillamae Kalev	0	1243	17.08%	16.89%
14	2017-08-11	17.61	@ Paide Linnameeskond	3	1110	29.77%	Narva Trans	1	1207	52.19%	18.04%
15	2017-10-28	17.34	Paide Linnameeskond	3	1141	30.63%	@ Sillamae Kalev	1	1204	51.29%	18.08%
16	2017-07-28	16.70	@ Tulevik Viljandi	1	975	3.48%	Levadia	0	1522	85.18%	11.34%
17	2017-05-13	16.64	@ Parnu Vaprus	2	994	40.36%	Tulevik Viljandi	0	1011	41.37%	18.27%
18	2017-08-04	16.44	@ Tammeka	3	1136	33.51%	Sillamae Kalev	1	1203	48.31%	18.17%
19	2017-08-25	16.33	@ Tulevik Viljandi	4	979	50.17%	Parnu Vaprus	1	925	31.72%	18.12%
20	2017-10-13	15.71	Infonet	4	1436	29.94%	@ Nomme Kalju	2	1504	52.01%	18.05%
21	2017-07-29	15.45	Tammeka	3	1121	57.74%	@ Parnu Vaprus	0	978	24.53%	17.73%
22	2017-08-19	15.33	Narva Trans	2	1183	44.32%	@ Tammeka	0	1145	37.43%	18.25%
23	2017-10-20	15.21	Flora	7	1543	74.02%	@ Narva Trans	0	1219	10.57%	15.41%
24	2017-05-20	15.00	@ Sillamae Kalev	2	1192	45.29%	Paide Linnameeskond	0	1174	36.47%	18.23%
25	2017-04-30	14.91	@ Infonet	6	1380	65.77%	Paide Linnameeskond	1	1187	17.30%	16.93%

Most & Least Exciting Games

The season’s games ranked by excitement rating (0–100) — a blend of closeness, upset, team quality, and scoring. An asterisk (*) after the date indicates a playoff game.

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2017-07-14	74.8	@ Flora	3	1571	50.30%	Levadia	3	1516	31.58%	18.11%
2	2017-08-25	66.0	Infonet	4	1453	22.09%	@ Flora	2	1592	60.39%	17.52%
3	2017-11-04	64.4	@ Levadia	0	1567	43.77%	Flora	0	1560	37.98%	18.25%
4	2017-09-08	63.3	@ Nomme Kalju	1	1455	30.39%	Levadia	1	1546	51.55%	18.07%
5	2017-07-09	63.1	@ Levadia	0	1516	34.95%	Flora	0	1572	46.84%	18.21%
6	2017-05-30	61.4	@ Infonet	2	1400	41.19%	Nomme Kalju	2	1412	40.54%	18.27%
7	2017-03-04	60.6	@ Flora	1	1490	49.96%	Levadia	1	1438	31.92%	18.12%
8	2017-09-30	60.2	@ Tulevik Viljandi	2	999	3.49%	Flora	2	1545	85.15%	11.36%
9	2017-10-21	59.8	@ Nomme Kalju	2	1488	77.31%	Paide Linnameeskond	2	1139	8.17%	14.52%
10	2017-10-13	59.7	Infonet	4	1436	29.94%	@ Nomme Kalju	2	1504	52.01%	18.05%
11	2017-04-25	59.2	@ Levadia	1	1495	56.69%	Nomme Kalju	1	1388	25.51%	17.80%
12	2017-04-24	58.8	@ Infonet	2	1382	63.42%	Sillamae Kalev	2	1213	19.36%	17.21%
13	2017-03-10	58.4	@ Nomme Kalju	1	1370	27.00%	Flora	1	1489	55.10%	17.90%
14	2017-08-11	56.6	@ Infonet	2	1426	30.51%	Levadia	1	1516	51.41%	18.07%
15	2017-06-19	55.9	@ Sillamae Kalev	1	1170	9.33%	Levadia	1	1519	75.68%	14.99%
16	2017-09-16	55.2	@ Tulevik Viljandi	1	1003	5.26%	Infonet	1	1468	81.86%	12.89%
17	2017-09-12	54.9	Nomme Kalju	4	1456	23.12%	@ Flora	0	1585	59.27%	17.61%
18	2017-09-30	54.8	@ Levadia	3	1557	57.92%	Infonet	2	1441	24.37%	17.72%
19	2017-11-04	54.8	@ Infonet	1	1439	75.13%	Tammeka	1	1125	9.73%	15.13%
20	2017-09-22	54.6	Narva Trans	3	1202	12.49%	@ Infonet	1	1464	71.54%	15.97%
21	2017-05-06	54.3	@ Paide Linnameeskond	1	1172	17.08%	Infonet	1	1395	66.03%	16.89%
22	2017-10-27	54.2	@ Narva Trans	0	1204	8.55%	Levadia	0	1571	76.78%	14.68%
23	2017-05-05	53.6	@ Sillamae Kalev	1	1203	34.15%	Narva Trans	1	1265	47.66%	18.19%
24	2017-05-30	53.5	@ Narva Trans	0	1257	14.70%	Levadia	0	1512	68.84%	16.47%
25	2017-07-08	53.5	@ Narva Trans	1	1240	54.21%	Paide Linnameeskond	1	1154	27.84%	17.95%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2017-09-23	23.4	@ Nomme Kalju	6	1496	87.81%	Parnu Vaprus	0	897	2.31%	9.88%
2	2017-09-15	24.0	Levadia	4	1554	88.67%	@ Parnu Vaprus	0	898	1.98%	9.35%
3	2017-10-21	24.3	@ Levadia	6	1568	86.92%	Tulevik Viljandi	0	998	2.68%	10.40%
4	2017-10-14	24.6	@ Flora	3	1542	89.42%	Parnu Vaprus	0	886	1.71%	8.87%
5	2017-05-23	24.7	@ Levadia	5	1508	85.07%	Tulevik Viljandi	0	991	3.53%	11.40%
6	2017-05-05	24.8	@ Flora	7	1521	84.63%	Tulevik Viljandi	0	1016	3.75%	11.62%
7	2017-06-16	24.8	Flora	10	1555	85.63%	@ Parnu Vaprus	0	996	3.26%	11.11%
8	2017-04-28	24.9	@ Levadia	8	1493	84.12%	Parnu Vaprus	0	1001	4.01%	11.87%
9	2017-08-18	25.1	@ Infonet	7	1442	82.45%	Tulevik Viljandi	0	991	4.92%	12.63%
10	2017-08-19	25.3	@ Levadia	3	1511	87.27%	Parnu Vaprus	0	930	2.53%	10.20%
11	2017-08-05	25.9	Flora	8	1574	87.35%	@ Parnu Vaprus	1	963	2.50%	10.15%
12	2017-04-22	26.6	@ Nomme Kalju	8	1375	77.46%	Tulevik Viljandi	0	1023	8.07%	14.47%
13	2017-05-22	26.8	@ Infonet	11	1389	79.39%	Parnu Vaprus	1	1002	6.78%	13.83%
14	2017-07-09	26.8	@ Nomme Kalju	3	1430	82.17%	Parnu Vaprus	0	985	5.08%	12.75%
15	2017-08-05	27.0	@ Levadia	8	1505	79.22%	Paide Linnameeskond	0	1121	6.89%	13.89%
16	2017-04-15	27.1	Infonet	6	1376	75.61%	@ Parnu Vaprus	0	1028	9.38%	15.01%
17	2017-03-18	27.2	@ Infonet	5	1382	76.30%	Tulevik Viljandi	0	1049	8.89%	14.82%
18	2017-07-21	28.0	@ Infonet	7	1419	81.73%	Parnu Vaprus	1	984	5.33%	12.94%
19	2017-08-15	28.0	Nomme Kalju	6	1468	84.74%	@ Parnu Vaprus	1	933	3.69%	11.57%
20	2017-04-28	28.1	Flora	2	1519	83.42%	@ Tulevik Viljandi	0	1018	4.38%	12.20%
21	2017-03-18	28.4	@ Flora	2	1488	82.18%	Parnu Vaprus	0	1043	5.07%	12.75%
22	2017-04-01	28.4	@ Flora	4	1490	76.96%	Tammeka	0	1147	8.42%	14.62%
23	2017-10-14	28.4	Levadia	4	1563	79.60%	@ Paide Linnameeskond	0	1144	6.64%	13.76%
24	2017-04-14	28.5	Levadia	2	1488	81.72%	@ Tulevik Viljandi	0	1026	5.34%	12.94%
25	2017-06-16	28.9	Infonet	2	1395	79.08%	@ Tulevik Viljandi	0	986	6.98%	13.94%