2016-17 Prva HNL Season

180 games

Final

Champion

Rijeka

88 points · 1st Title

Relegated

No relegation

Biggest Overachiever

Osijek

9.58 points above expected

66 points · 56.42 expected points

Biggest Disappointment

RNK Split

12.24 points below expected

18 points · 30.24 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	Rijeka Champion	36	27	7	2	88	71	23	+48	78.82	+9.18
2	Dinamo Zagreb	36	27	5	4	86	68	24	+44	76.71	+9.29
3	Hajduk Split	36	20	9	7	69	70	31	+39	64.18	+4.82
4	Osijek	36	20	6	10	66	52	37	+15	56.42	+9.58
5	Lokomotiva Zagreb	36	12	8	16	44	41	38	+3	47.30	-3.30
6	Istra 1961	36	10	9	17	39	33	49	-16	35.25	+3.75
7	Slaven Belupo	36	9	11	16	38	36	45	-9	45.03	-7.03
8	Inter Zapresic	36	5	13	18	28	26	57	-31	37.69	-9.69
9	Cibalia	36	4	9	23	21	26	79	-53	26.90	-5.90
10	RNK Split	36	3	9	24	18	12	52	-40	30.24	-12.24

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	Osijek	66	56.42	+9.58
2	Dinamo Zagreb	86	76.71	+9.29
3	Rijeka	88	78.82	+9.18
4	Hajduk Split	69	64.18	+4.82
5	Istra 1961	39	35.25	+3.75

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	RNK Split	18	30.24	-12.24
2	Inter Zapresic	28	37.69	-9.69
3	Slaven Belupo	38	45.03	-7.03
4	Cibalia	21	26.90	-5.90
5	Lokomotiva Zagreb	44	47.30	-3.30

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	Osijek	4	Aug 20 – Sep 18	1 in 99
2	Slaven Belupo	4	Nov 25 – Dec 18	1 in 60
3	Hajduk Split	5	Apr 14 – May 6	1 in 38
4	Rijeka	7	Sep 18 – Nov 5	1 in 22
5	Cibalia	2	May 7 – May 12	1 in 18

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Lokomotiva Zagreb	5	Oct 23 – Nov 25	1 in 97
2	Slaven Belupo	4	Aug 20 – Sep 17	1 in 52
3	Istra 1961	5	Apr 26 – May 17	1 in 47
4	RNK Split	5	Sep 10 – Oct 16	1 in 30
5	Dinamo Zagreb	2	Sep 10 – Sep 18	1 in 24

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Rijeka	31	Jul 16 – Apr 29	1 in 64
2	Osijek	8	Aug 8 – Oct 1	1 in 32
3	Dinamo Zagreb	19	Sep 23 – Apr 14	1 in 23
4	Hajduk Split	9	Mar 11 – May 6	1 in 20
5	Lokomotiva Zagreb	5	May 6 – May 26	1 in 15

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Slaven Belupo	11	Jul 29 – Oct 21	1 in 239
2	Inter Zapresic	17	Nov 27 – May 13	1 in 226
3	Lokomotiva Zagreb	7	Jul 17 – Aug 28	1 in 24
4	RNK Split	13	Mar 11 – May 26	1 in 15
5	Osijek	3	Sep 25 – Oct 16	1 in 8

Position Race

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

Recent Form

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

Team	Elo	Season Pts	Elo Δ (5)	Points (5)	Expected (5)	Actual − Exp
Rijeka	1941	88	-34	9	10.6	-1.6
Dinamo Zagreb	1948	86	+67	15	10.5	+4.5
Hajduk Split	1865	69	+24	10	9.7	+0.3
Osijek	1720	66	-15	7	8.2	-1.2
Lokomotiva Zagreb	1672	44	+55	11	7.3	+3.7
Istra 1961	1542	39	+14	6	6.4	-0.4
Slaven Belupo	1548	38	-29	3	4.4	-1.4
Inter Zapresic	1408	28	-85	3	4.8	-1.8
Cibalia	1405	21	+52	8	3.4	+4.6
RNK Split	1373	18	-50	0	4.0	-4.0

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	CIB	DZ	HS	IZ	I1	LZ	OSI	RS	RIJ	SB
Cibalia	—	0-0-4 1.42	0-0-4 2.43	0-3-1 3.98	1-1-2 4.44	0-1-3 3.14	0-1-3 2.30	2-1-1 4.49	0-1-3 1.14	1-1-2 3.01
Dinamo Zagreb	4-0-0 9.85	—	2-1-1 7.43	4-0-0 9.45	3-1-0 9.72	4-0-0 8.78	3-0-1 8.12	4-0-0 9.81	1-2-1 5.05	2-1-1 8.84
Hajduk Split	4-0-0 8.71	1-1-2 3.60	—	3-1-0 8.18	3-1-0 8.54	2-2-0 7.45	2-1-1 6.65	3-1-0 8.76	0-1-3 3.31	2-1-1 8.11
Inter Zapresic	1-3-0 7.04	0-0-4 1.73	0-1-3 2.90	—	0-1-3 5.57	2-1-1 4.26	0-2-2 3.75	2-2-0 6.39	0-1-3 1.67	0-2-2 4.80
Istra 1961	2-1-1 6.58	0-1-3 1.50	0-1-3 2.54	3-1-0 5.42	—	1-1-2 4.11	0-1-3 3.69	4-0-0 6.04	0-1-3 1.65	0-2-2 4.31
Lokomotiva Zagreb	3-1-0 7.92	0-0-4 2.32	0-2-2 3.58	1-1-2 6.76	2-1-1 6.89	—	1-0-3 4.52	2-2-0 7.42	1-0-3 2.02	2-1-1 5.82
Osijek	3-1-0 8.81	1-0-3 2.95	1-1-2 4.36	2-2-0 7.30	3-1-0 7.34	3-0-1 6.48	—	3-1-0 8.80	0-0-4 2.72	4-0-0 6.50
RNK Split	1-1-2 6.51	0-0-4 1.43	0-1-3 2.38	0-2-2 4.61	0-0-4 4.98	0-2-2 3.60	0-1-3 2.30	—	0-0-4 1.78	2-2-0 3.41
Rijeka	3-1-0 10.20	1-2-1 5.94	3-1-0 7.72	3-1-0 9.54	3-1-0 9.55	3-0-1 9.12	4-0-0 8.34	4-0-0 9.46	—	3-1-0 9.40
Slaven Belupo	2-1-1 8.05	1-1-2 2.26	1-1-2 2.94	2-2-0 6.19	2-2-0 6.69	1-1-2 5.19	0-0-4 4.52	0-2-2 7.62	0-1-3 1.77	—

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	0.94	+12.0
Allowed	0.78	-13.5
Differential	0.95	+7.0

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	8.33%	10.00%	9.44%	3.61%	2.50%	0.56%	34.44%
1	10.00%	13.33%	5.83%	1.39%	1.11%	0.56%	32.22%
2	9.44%	5.83%	1.67%	1.94%	0.28%	0.83%	20.00%
3	3.61%	1.39%	1.94%	0.56%	—	—	7.50%
4	2.50%	1.11%	0.28%	—	—	—	3.89%
5+	0.56%	0.56%	0.83%	—	—	—	1.94%
Total	34.44%	32.22%	20.00%	7.50%	3.89%	1.94%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.21	1.21	+0.00
SD	1.24	1.24	1.92
CV	1.03	1.03	—
Max	6	6	+6
Min	0	0	-6

Games Played: 180

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	5.56%	19.44%	8.33%	8.33%	2.78%	50.00%
1	5.56%	13.89%	5.56%	—	5.56%	2.78%	33.33%
2	—	2.78%	2.78%	5.56%	—	—	11.11%
3	—	2.78%	—	2.78%	—	—	5.56%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	11.11%	25.00%	27.78%	16.67%	13.89%	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.72	2.19	-1.47
SD	0.88	1.53	1.83
CV	1.22	0.70	—
Max	3	6	+2
Min	0	0	-6

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	2.78%	2.78%	—	—	—	8.33%
1	25.00%	11.11%	2.78%	—	—	—	38.89%
2	8.33%	16.67%	—	—	—	2.78%	27.78%
3	8.33%	5.56%	—	—	—	—	13.89%
4	5.56%	—	—	—	—	—	5.56%
5+	2.78%	—	2.78%	—	—	—	5.56%
Total	52.78%	36.11%	8.33%	—	—	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.89	0.67	+1.22
SD	1.35	0.99	1.69
CV	0.71	1.48	—
Max	6	5	+6
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	2.78%	2.78%	—	2.78%	—	16.67%
1	8.33%	16.67%	8.33%	—	—	—	33.33%
2	13.89%	8.33%	—	—	2.78%	—	25.00%
3	2.78%	2.78%	—	—	—	—	5.56%
4	8.33%	—	—	—	—	—	8.33%
5+	2.78%	5.56%	2.78%	—	—	—	11.11%
Total	44.44%	36.11%	13.89%	—	5.56%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.94	0.86	+1.08
SD	1.69	1.05	2.13
CV	0.87	1.21	—
Max	6	4	+6
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	8.33%	19.44%	5.56%	—	2.78%	44.44%
1	8.33%	19.44%	8.33%	2.78%	2.78%	—	41.67%
2	2.78%	2.78%	5.56%	—	—	—	11.11%
3	—	—	—	2.78%	—	—	2.78%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	19.44%	30.56%	33.33%	11.11%	2.78%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.72	1.58	-0.86
SD	0.78	1.27	1.53
CV	1.08	0.80	—
Max	3	6	+2
Min	0	0	-6

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	8.33%	13.89%	2.78%	5.56%	—	38.89%
1	13.89%	13.89%	11.11%	2.78%	2.78%	—	44.44%
2	2.78%	—	2.78%	—	—	—	5.56%
3	5.56%	—	2.78%	—	—	—	8.33%
4	—	2.78%	—	—	—	—	2.78%
5+	—	—	—	—	—	—	—
Total	30.56%	25.00%	30.56%	5.56%	8.33%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.92	1.36	-0.44
SD	1.02	1.22	1.78
CV	1.12	0.90	—
Max	4	4	+3
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	19.44%	8.33%	—	—	—	38.89%
1	5.56%	11.11%	8.33%	5.56%	—	—	30.56%
2	8.33%	5.56%	—	2.78%	—	—	16.67%
3	2.78%	—	2.78%	—	—	—	5.56%
4	2.78%	5.56%	—	—	—	—	8.33%
5+	—	—	—	—	—	—	—
Total	30.56%	41.67%	19.44%	8.33%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.14	1.06	+0.08
SD	1.25	0.92	1.61
CV	1.09	0.88	—
Max	4	3	+4
Min	0	0	-2

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	8.33%	8.33%	2.78%	—	—	19.44%
1	16.67%	13.89%	2.78%	—	—	2.78%	36.11%
2	13.89%	8.33%	2.78%	2.78%	—	—	27.78%
3	5.56%	2.78%	5.56%	—	—	—	13.89%
4	2.78%	—	—	—	—	—	2.78%
5+	—	—	—	—	—	—	—
Total	38.89%	33.33%	19.44%	5.56%	—	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.44	1.03	+0.42
SD	1.05	1.13	1.73
CV	0.73	1.10	—
Max	4	5	+4
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	16.67%	30.56%	13.89%	11.11%	5.56%	—	77.78%
1	5.56%	5.56%	2.78%	—	—	—	13.89%
2	—	—	2.78%	—	—	2.78%	5.56%
3	2.78%	—	—	—	—	—	2.78%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	25.00%	36.11%	19.44%	11.11%	5.56%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.33	1.44	-1.11
SD	0.72	1.30	1.47
CV	2.15	0.90	—
Max	3	5	+3
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	2.78%	—	—	—	—	8.33%
1	11.11%	13.89%	—	—	—	—	25.00%
2	30.56%	8.33%	—	—	—	2.78%	41.67%
3	8.33%	—	5.56%	—	—	—	13.89%
4	2.78%	2.78%	2.78%	—	—	—	8.33%
5+	—	—	2.78%	—	—	—	2.78%
Total	58.33%	27.78%	11.11%	—	—	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.97	0.64	+1.33
SD	1.16	1.02	1.35
CV	0.59	1.59	—
Max	5	5	+4
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	16.67%	11.11%	5.56%	5.56%	2.78%	—	41.67%
1	—	13.89%	8.33%	2.78%	—	—	25.00%
2	13.89%	5.56%	—	8.33%	—	—	27.78%
3	—	—	2.78%	—	—	—	2.78%
4	2.78%	—	—	—	—	—	2.78%
5+	—	—	—	—	—	—	—
Total	33.33%	30.56%	16.67%	16.67%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.00	1.25	-0.25
SD	1.04	1.18	1.63
CV	1.04	0.94	—
Max	4	4	+4
Min	0	0	-4

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
Dinamo Zagreb	1948	86	76.71	+9.29	96.0%	54	64	74	77	81	86	90
Rijeka	1941	88	78.82	+9.18	94.0%	59	67	74	79	83	90	98
Hajduk Split	1865	69	64.18	+4.82	76.0%	47	52	59	64	68	76	87
Osijek	1720	66	56.42	+9.58	97.0%	41	44	52	56	62	66	69
Lokomotiva Zagreb	1672	44	47.30	-3.30	35.0%	27	35	42	48	52	60	63
Slaven Belupo	1548	38	45.03	-7.03	18.0%	31	34	40	44	51	56	57
Istra 1961	1542	39	35.25	+3.75	78.0%	20	24	31	36	39	45	50
Inter Zapresic	1408	28	37.69	-9.69	8.0%	19	28	33	37	42	49	53
Cibalia	1405	21	26.90	-5.90	20.0%	14	16	22	27	31	37	47
RNK Split	1373	18	30.24	-12.24	3.0%	15	19	25	31	34	41	45

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 18.5% * Slight Edge: 18.5% to 25.5% * Clear Edge: 25.5% to 33% * Strong Edge: 33% 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

+17.22%

No Edge

46.67%23.89%29.44%

Elo Value

Home Edge: 60.44 Elo pts.

211 Elo

0.005 goals per Elo point

0600

Scoring Tilt

Expected

+0.47 goals

Neutral

-2+0.29+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 0.13 * Tight Race: 0.13 to 0.23 * Comfortable: 0.23 to 0.46 * Runaway: 0.46 and up.

Title-Race Openness

2.1

Top-Heavy

123410

Champion Preseason Odds

59%

Rijeka, 1st of 10

LongshotFavorite

Title Margin

Expected

0.06/gm

Photo Finish

00.200.5/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 5.45 * Some Luck: 5.45 to 8.17 * Lucky: 8.17 to 10.9 * Wild Swing: 10.9 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 0.6 * Close: 0.6 to 0.9 * Off: 0.9 to 1.2 * Way Off: 1.2 and up.
Biggest Overachiever: The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 10 typically lands.
Biggest Underachiever: The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 10 typically lands.
Season Outliers: Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 10 * As Expected: 10 to 16 * Several Outliers: 16 to 22 * Many Outliers: 22 and up.

Luck Spread

Expected

7.99 points

Some Luck

06.8117

Average Finish Error

Expected

0.60

00.751.5

Biggest Overachiever

Expected 95.00%

97.00%

Osijek

50100

Biggest Underachiever

Expected 5.00%

3.00%

RNK Split

050

Season Outliers

Expected

3 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 0.17 * Even: 0.17 to 0.18 * Top-Heavy: 0.18 to 0.22 * Lopsided: 0.22 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 1.85 * Moderate Separation: 1.85 to 2.1 * Strong Separation: 2.1 to 2.35 * Wide Separation: 2.35 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 65% * Slight Edge: 65% to 67% * Clear Edge: 67% to 71% * Wide Edge: 71% 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 90% * Clear Edge: 90% to 92% * Strong Edge: 92% to 95.5% * Dominant: 95.5% 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 58% * Some Drama: 58% to 60.5% * Frequent: 60.5% to 64% * Very Frequent: 64% 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 15% * Occasional: 15% to 16.5% * Frequent: 16.5% to 19.5% * Very Frequent: 19.5% and up.

Gini Index

0.28

Lopsided

00.170.5

Noll-Scully

Elo SD: 221.55

3.25

Wide Separation

11.852.353.5

Interquartile Edge

90%

Wide Edge

50%65%71%100%

Best vs. Worst

Baseline 99%

96%

Dominant

50%100%

Close Games

Expected

59%

Some Drama

0%56%100%

Blowouts

Expected

18%

Frequent

0%19%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 0.39 * Slight Separation: 0.39 to 0.42 * Notable Separation: 0.42 to 0.46 * Lopsided: 0.46 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 0.57 * Some Carryover: 0.57 to 0.65 * Strong Carryover: 0.65 to 0.79 * Near-Lock: 0.79 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 16.5% * As Expected: 16.5% to 19% * Upset-Prone: 19% to 21.5% * Very Upset-Prone: 21.5% 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 13% * As Expected: 13% to 15.5% * Shaky Favorites: 15.5% to 17% * Very Shaky: 17% and up.

Brier Score

Expected

0.49

Highly Predictable

00.542

Matchup Imbalance

0.53

Lopsided

00.390.5

Strangeness

Expected

1.45

Chaotic

01.002

Repeatability

0.62

Some Carryover

00.570.791

Upset Rate

Expected

13%

Chalky

0%18%50%

Clear Favorite Upset Rate

Expected

11%

Solid 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 0.12 * Near Noise Ceiling: 0.12 to 0.18 * Above Noise: 0.18 to 0.23 * Well Above Noise: 0.23 and up.

Probability calibration

0.41

Well Calibrated

0.010.050.10.51

Calibration slope

Ideal

1.26

Underconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.067

Well Within Noise

00.1170.3

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
Rijeka	59.00%	36.00%	5.00%	—	—	—	—	—	—	—
Dinamo Zagreb	37.00%	50.00%	12.00%	—	1.00%	—	—	—	—	—
Hajduk Split	4.00%	12.00%	61.00%	20.00%	2.00%	1.00%	—	—	—	—
Osijek	—	1.00%	20.00%	56.00%	14.00%	6.00%	2.00%	1.00%	—	—
Lokomotiva Zagreb	—	1.00%	2.00%	15.00%	41.00%	21.00%	9.00%	7.00%	1.00%	3.00%
Istra 1961	—	—	—	—	2.00%	12.00%	27.00%	31.00%	17.00%	11.00%
Slaven Belupo	—	—	—	8.00%	30.00%	34.00%	18.00%	8.00%	1.00%	1.00%
Inter Zapresic	—	—	—	1.00%	8.00%	20.00%	28.00%	24.00%	14.00%	5.00%
Cibalia	—	—	—	—	1.00%	1.00%	5.00%	11.00%	33.00%	49.00%
RNK Split	—	—	—	—	1.00%	5.00%	11.00%	18.00%	34.00%	31.00%

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
Dinamo Zagreb	100%	—	—
Hajduk Split	100%	—	—
Osijek	100%	—	—
Rijeka	100%	—	—
Slaven Belupo	98.00%	1.00%	1.00%
Lokomotiva Zagreb	96.00%	1.00%	3.00%
Inter Zapresic	81.00%	14.00%	5.00%
Istra 1961	72.00%	17.00%	11.00%
RNK Split	35.00%	34.00%	31.00%
Cibalia	18.00%	33.00%	49.00%

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
2016-07-15	Inter Zapresic	W 2-0	53.7	1633	1621	47.28%	25.12%	27.60%	+0.35	+26.9	3
2016-07-15	@ Slaven Belupo	L 0-2	53.7	1621	1633	27.60%	25.12%	47.28%	-0.35	-26.9	0
2016-07-16	Osijek	L 0-1	53.7	1491	1573	34.28%	25.33%	40.39%	-0.10	-16.9	0
2016-07-16	@ Istra 1961	W 1-0	53.7	1573	1491	40.39%	25.33%	34.28%	+0.10	+16.9	3
2016-07-16	Rijeka	L 0-3	52.0	1609	1781	23.18%	24.81%	52.01%	-0.53	-33.9	0
2016-07-16	@ RNK Split	W 3-0	52.0	1781	1609	52.01%	24.81%	23.18%	+0.53	+33.9	3
2016-07-17	Hajduk Split	L 0-2	54.9	1574	1675	31.75%	25.28%	42.98%	-0.19	-30.0	0
2016-07-17	@ Cibalia	W 2-0	54.9	1675	1574	42.98%	25.28%	31.75%	+0.19	+30.0	3
2016-07-17	Lokomotiva Zagreb	W 3-1	56.4	1826	1641	64.68%	22.93%	12.39%	+1.16	+11.5	3
2016-07-17	@ Dinamo Zagreb	L 1-3	56.4	1641	1826	12.39%	22.93%	64.68%	-1.16	-11.5	0
2016-07-22	Istra 1961	W 4-1	49.0	1815	1474	74.70%	19.50%	5.80%	+1.91	+7.5	6
2016-07-22	@ Rijeka	L 1-4	49.0	1474	1815	5.80%	19.50%	74.70%	-1.91	-7.5	0
2016-07-23	Cibalia	W 3-2	63.2	1660	1544	58.79%	24.05%	17.16%	+0.84	+8.5	6
2016-07-23	@ Slaven Belupo	L 2-3	63.2	1544	1660	17.16%	24.05%	58.79%	-0.84	-8.5	0
2016-07-23	Osijek	L 0-2	57.8	1594	1589	46.21%	25.17%	28.63%	+0.31	-40.2	0
2016-07-23	@ Inter Zapresic	W 2-0	57.8	1589	1594	28.63%	25.17%	46.21%	-0.31	+40.2	6
2016-07-24	RNK Split	D 0-0	65.4	1630	1575	52.35%	24.78%	22.87%	+0.55	-3.3	1
2016-07-24	@ Lokomotiva Zagreb	D 0-0	65.4	1575	1630	22.87%	24.78%	52.35%	-0.55	+3.3	1
2016-07-29	Slaven Belupo	D 1-1	74.1	1837	1669	63.38%	23.22%	13.40%	+1.09	-5.4	4
2016-07-29	@ Dinamo Zagreb	D 1-1	74.1	1669	1837	13.40%	23.22%	63.38%	-1.09	+5.4	7
2016-07-30	Inter Zapresic	D 3-3	76.6	1535	1554	43.23%	25.27%	31.50%	+0.20	-0.7	1
2016-07-30	@ Cibalia	D 3-3	76.6	1554	1535	31.50%	25.27%	43.23%	-0.20	+0.7	1
2016-07-31	Hajduk Split	L 0-1	57.4	1578	1705	28.44%	25.16%	46.40%	-0.31	-14.6	1
2016-07-31	@ RNK Split	W 1-0	57.4	1705	1578	46.40%	25.16%	28.44%	+0.31	+14.6	6
2016-07-31	Lokomotiva Zagreb	D 1-1	67.4	1466	1626	24.55%	24.92%	50.52%	-0.47	+2.6	1
2016-07-31	@ Istra 1961	D 1-1	67.4	1626	1466	50.52%	24.92%	24.55%	+0.47	-2.6	2
2016-07-31	Rijeka	L 0-1	56.5	1630	1823	21.12%	24.60%	54.28%	-0.63	-11.4	6
2016-07-31	@ Osijek	W 1-0	56.5	1823	1630	54.28%	24.60%	21.12%	+0.63	+11.4	9
2016-08-05	RNK Split	D 0-0	66.3	1674	1563	58.25%	24.13%	17.62%	+0.81	-4.8	8
2016-08-05	@ Slaven Belupo	D 0-0	66.3	1563	1674	17.62%	24.13%	58.25%	-0.81	+4.7	2
2016-08-06	Dinamo Zagreb	L 0-2	50.0	1535	1832	12.90%	23.08%	64.02%	-1.12	-13.8	1
2016-08-06	@ Cibalia	W 2-0	50.0	1832	1535	64.02%	23.08%	12.90%	+1.12	+13.8	7
2016-08-07	Istra 1961	W 4-0	43.4	1719	1469	69.39%	21.60%	9.01%	+1.48	+18.4	9
2016-08-07	@ Hajduk Split	L 0-4	43.4	1469	1719	9.01%	21.60%	69.39%	-1.48	-18.4	1
2016-08-07	Rijeka	D 1-1	73.5	1554	1834	14.01%	23.38%	62.61%	-1.04	+5.2	2
2016-08-07	@ Inter Zapresic	D 1-1	73.5	1834	1554	62.61%	23.38%	14.01%	+1.04	-5.2	10
2016-08-08	Osijek	L 2-3	73.1	1624	1618	46.35%	25.16%	28.49%	+0.31	-19.1	2
2016-08-08	@ Lokomotiva Zagreb	W 3-2	73.1	1618	1624	28.49%	25.16%	46.35%	-0.31	+19.1	9
2016-08-10	Dinamo Zagreb	L 0-4	54.7	1738	1846	30.83%	25.25%	43.92%	-0.22	-55.7	9
2016-08-10	@ Hajduk Split	W 4-0	54.7	1846	1738	43.92%	25.25%	30.83%	+0.22	+55.7	10
2016-08-12	Cibalia	D 2-2	73.2	1568	1521	51.48%	24.85%	23.67%	+0.51	-2.1	3
2016-08-12	@ RNK Split	D 2-2	73.2	1521	1568	23.67%	24.85%	51.48%	-0.51	+2.1	2
2016-08-13	Inter Zapresic	W 2-1	56.5	1901	1560	74.71%	19.49%	5.80%	+1.91	+3.0	13
2016-08-13	@ Dinamo Zagreb	L 1-2	56.5	1560	1901	5.80%	19.49%	74.71%	-1.91	-3.0	2
2016-08-13	Lokomotiva Zagreb	W 1-0	52.4	1829	1605	67.63%	22.15%	10.22%	+1.35	+5.8	13
2016-08-13	@ Rijeka	L 0-1	52.4	1605	1829	10.22%	22.15%	67.63%	-1.35	-5.8	2
2016-08-14	Hajduk Split	D 1-1	72.2	1637	1682	39.56%	25.34%	35.11%	+0.07	-0.4	10
2016-08-14	@ Osijek	D 1-1	72.2	1682	1637	35.11%	25.34%	39.56%	-0.07	+0.4	10
2016-08-14	Slaven Belupo	D 0-0	63.3	1450	1670	18.70%	24.29%	57.01%	-0.75	+4.4	2
2016-08-14	@ Istra 1961	D 0-0	63.3	1670	1450	57.01%	24.29%	18.70%	+0.75	-4.4	9
2016-08-19	RNK Split	W 1-0	50.5	1904	1566	74.52%	19.58%	5.90%	+1.89	+3.3	16
2016-08-19	@ Dinamo Zagreb	L 0-1	50.5	1566	1904	5.90%	19.58%	74.52%	-1.89	-3.3	3
2016-08-20	Istra 1961	D 1-1	63.3	1523	1455	53.83%	24.65%	21.52%	+0.61	-3.3	3
2016-08-20	@ Cibalia	D 1-1	63.3	1455	1523	21.52%	24.65%	53.83%	-0.61	+3.3	3
2016-08-20	Osijek	L 2-3	74.8	1665	1637	49.20%	25.01%	25.79%	+0.42	-20.1	9
2016-08-20	@ Slaven Belupo	W 3-2	74.8	1637	1665	25.79%	25.01%	49.20%	-0.42	+20.1	13
2016-08-21	Lokomotiva Zagreb	W 2-1	62.8	1556	1599	39.92%	25.33%	34.75%	+0.09	+16.1	5
2016-08-21	@ Inter Zapresic	L 1-2	62.8	1599	1556	34.75%	25.33%	39.92%	-0.09	-16.1	2
2016-08-21	Rijeka	L 2-4	64.6	1683	1835	25.42%	24.99%	49.59%	-0.44	-19.5	10
2016-08-21	@ Hajduk Split	W 4-2	64.6	1835	1683	49.59%	24.99%	25.42%	+0.44	+19.5	16
2016-08-26	Inter Zapresic	D 0-0	63.5	1563	1573	44.36%	25.24%	30.40%	+0.24	-1.5	4
2016-08-26	@ RNK Split	D 0-0	63.5	1573	1563	30.40%	25.24%	44.36%	-0.24	+1.5	6
2016-08-27	Cibalia	W 2-0	48.0	1657	1520	60.73%	23.74%	15.53%	+0.94	+16.5	16
2016-08-27	@ Osijek	L 0-2	48.0	1520	1657	15.53%	23.74%	60.73%	-0.94	-16.5	3
2016-08-27	Slaven Belupo	W 2-0	50.0	1854	1645	66.55%	22.46%	10.99%	+1.28	+11.9	19
2016-08-27	@ Rijeka	L 0-2	50.0	1645	1854	10.99%	22.46%	66.55%	-1.28	-11.9	9
2016-08-28	Dinamo Zagreb	L 1-2	56.1	1458	1908	6.18%	19.81%	74.01%	-1.85	-3.3	3
2016-08-28	@ Istra 1961	W 2-1	56.1	1908	1458	74.01%	19.81%	6.18%	+1.85	+3.3	19
2016-08-28	Hajduk Split	L 0-2	55.7	1583	1663	34.50%	25.33%	40.17%	-0.09	-32.0	2
2016-08-28	@ Lokomotiva Zagreb	W 2-0	55.7	1663	1583	40.17%	25.33%	34.50%	+0.09	+32.0	13
2016-09-09	Hajduk Split	D 1-1	71.6	1574	1695	29.15%	25.19%	45.66%	-0.29	+1.6	7
2016-09-09	@ Inter Zapresic	D 1-1	71.6	1695	1574	45.66%	25.19%	29.15%	+0.29	-1.6	14
2016-09-10	Istra 1961	L 0-3	53.8	1561	1455	57.82%	24.19%	17.99%	+0.79	-71.3	4
2016-09-10	@ RNK Split	W 3-0	53.8	1455	1561	17.99%	24.19%	57.82%	-0.79	+71.3	6
2016-09-10	Osijek	L 0-1	70.3	1911	1674	68.52%	21.89%	9.60%	+1.41	-30.5	19
2016-09-10	@ Dinamo Zagreb	W 1-0	70.3	1674	1911	9.60%	21.89%	68.52%	-1.41	+30.5	19
2016-09-11	Lokomotiva Zagreb	L 2-3	74.4	1633	1551	55.38%	24.49%	20.13%	+0.68	-22.4	9
2016-09-11	@ Slaven Belupo	W 3-2	74.4	1551	1633	20.13%	24.49%	55.38%	-0.68	+22.4	5
2016-09-11	Rijeka	D 0-0	68.7	1503	1866	9.38%	21.79%	68.83%	-1.44	+7.3	4
2016-09-11	@ Cibalia	D 0-0	68.7	1866	1503	68.83%	21.79%	9.38%	+1.44	-7.3	20
2016-09-16	Cibalia	W 4-0	45.2	1573	1510	53.21%	24.71%	22.08%	+0.58	+42.5	8
2016-09-16	@ Lokomotiva Zagreb	L 0-4	45.2	1510	1573	22.08%	24.71%	53.21%	-0.58	-42.5	4
2016-09-17	Inter Zapresic	W 4-1	55.5	1526	1576	38.89%	25.34%	35.77%	+0.05	+40.3	9
2016-09-17	@ Istra 1961	L 1-4	55.5	1576	1526	35.77%	25.34%	38.89%	-0.05	-40.3	7
2016-09-17	Slaven Belupo	W 4-0	49.6	1693	1611	55.40%	24.49%	20.11%	+0.68	+39.3	17
2016-09-17	@ Hajduk Split	L 0-4	49.6	1611	1693	20.11%	24.49%	55.40%	-0.68	-39.3	9
2016-09-18	Dinamo Zagreb	W 5-2	62.8	1859	1880	42.79%	25.28%	31.93%	+0.18	+32.0	23
2016-09-18	@ Rijeka	L 2-5	62.8	1880	1859	31.93%	25.28%	42.79%	-0.18	-32.0	19
2016-09-18	RNK Split	W 3-0	44.7	1704	1490	66.89%	22.37%	10.75%	+1.30	+16.8	22
2016-09-18	@ Osijek	L 0-3	44.7	1490	1704	10.75%	22.37%	66.89%	-1.30	-16.8	4
2016-09-23	Dinamo Zagreb	L 0-1	55.3	1616	1848	17.52%	24.11%	58.37%	-0.82	-9.7	8
2016-09-23	@ Lokomotiva Zagreb	W 1-0	55.3	1848	1616	58.37%	24.11%	17.52%	+0.82	+9.7	22
2016-09-24	Cibalia	W 6-1	45.9	1733	1468	70.29%	21.29%	8.41%	+1.54	+17.5	20
2016-09-24	@ Hajduk Split	L 1-6	45.9	1468	1733	8.41%	21.29%	70.29%	-1.54	-17.5	4
2016-09-24	Slaven Belupo	D 1-1	67.7	1535	1571	40.78%	25.32%	33.90%	+0.12	-0.7	8
2016-09-24	@ Inter Zapresic	D 1-1	67.7	1571	1535	33.90%	25.32%	40.78%	-0.12	+0.7	10
2016-09-25	Istra 1961	D 1-1	72.4	1721	1566	62.22%	23.46%	14.32%	+1.02	-5.1	23
2016-09-25	@ Osijek	D 1-1	72.4	1566	1721	14.32%	23.46%	62.22%	-1.02	+5.1	10
2016-09-25	RNK Split	W 2-0	45.7	1891	1473	78.39%	17.60%	4.01%	+2.27	+4.1	26
2016-09-25	@ Rijeka	L 0-2	45.7	1473	1891	4.01%	17.60%	78.39%	-2.27	-4.1	4
2016-09-30	Rijeka	L 0-2	50.0	1572	1895	11.36%	22.59%	66.05%	-1.25	-12.2	10
2016-09-30	@ Istra 1961	W 2-0	50.0	1895	1572	66.05%	22.59%	11.36%	+1.25	+12.2	29
2016-10-01	Inter Zapresic	D 1-1	72.0	1716	1535	64.40%	23.00%	12.60%	+1.15	-5.6	24
2016-10-01	@ Osijek	D 1-1	72.0	1535	1716	12.60%	23.00%	64.40%	-1.15	+5.6	9
2016-10-01	Lokomotiva Zagreb	L 0-2	48.9	1469	1606	27.24%	25.10%	47.67%	-0.36	-26.6	4
2016-10-01	@ RNK Split	W 2-0	48.9	1606	1469	47.67%	25.10%	27.24%	+0.36	+26.6	11
2016-10-02	Hajduk Split	D 0-0	68.9	1858	1750	57.97%	24.17%	17.87%	+0.80	-4.7	23
2016-10-02	@ Dinamo Zagreb	D 0-0	68.9	1750	1858	17.87%	24.17%	57.97%	-0.80	+4.7	21
2016-10-02	Slaven Belupo	D 0-0	59.7	1450	1572	29.07%	25.19%	45.75%	-0.29	+1.8	5
2016-10-02	@ Cibalia	D 0-0	59.7	1572	1450	45.75%	25.19%	29.07%	+0.29	-1.8	11
2016-10-14	Dinamo Zagreb	L 0-1	53.8	1570	1853	13.79%	23.33%	62.88%	-1.06	-7.8	11
2016-10-14	@ Slaven Belupo	W 1-0	53.8	1853	1570	62.88%	23.33%	13.79%	+1.06	+7.8	26
2016-10-15	Cibalia	W 1-0	46.4	1540	1452	55.96%	24.42%	19.62%	+0.70	+10.7	12
2016-10-15	@ Inter Zapresic	L 0-1	46.4	1452	1540	19.62%	24.42%	55.96%	-0.70	-10.7	5
2016-10-15	Istra 1961	W 2-1	59.3	1632	1559	54.38%	24.59%	21.03%	+0.63	+10.8	14
2016-10-15	@ Lokomotiva Zagreb	L 1-2	59.3	1559	1632	21.03%	24.59%	54.38%	-0.63	-10.8	10
2016-10-16	Osijek	W 3-0	48.7	1907	1710	65.64%	22.70%	11.66%	+1.22	+18.2	32
2016-10-16	@ Rijeka	L 0-3	48.7	1710	1907	11.66%	22.70%	65.64%	-1.22	-18.2	24
2016-10-16	RNK Split	W 2-1	53.9	1755	1442	73.12%	20.20%	6.68%	+1.77	+3.5	24
2016-10-16	@ Hajduk Split	L 1-2	53.9	1442	1755	6.68%	20.20%	73.12%	-1.77	-3.5	4
2016-10-21	Slaven Belupo	W 3-0	50.0	1439	1562	28.83%	25.18%	45.99%	-0.30	+58.1	7
2016-10-21	@ RNK Split	L 0-3	50.0	1562	1439	45.99%	25.18%	28.83%	+0.30	-58.1	11
2016-10-22	Cibalia	W 3-0	43.2	1861	1442	78.48%	17.54%	3.97%	+2.28	+5.9	29
2016-10-22	@ Dinamo Zagreb	L 0-3	43.2	1442	1861	3.97%	17.54%	78.48%	-2.28	-5.8	5
2016-10-22	Hajduk Split	D 0-0	67.2	1549	1758	19.52%	24.41%	56.07%	-0.71	+4.2	11
2016-10-22	@ Istra 1961	D 0-0	67.2	1758	1549	56.07%	24.41%	19.52%	+0.71	-4.2	25
2016-10-23	Inter Zapresic	W 1-0	50.0	1925	1551	76.36%	18.69%	4.95%	+2.06	+2.7	35
2016-10-23	@ Rijeka	L 0-1	50.0	1551	1925	4.95%	18.69%	76.36%	-2.06	-2.7	12
2016-10-23	Lokomotiva Zagreb	W 1-0	56.5	1692	1643	51.65%	24.84%	23.51%	+0.52	+12.5	27
2016-10-23	@ Osijek	L 0-1	56.5	1643	1692	23.51%	24.84%	51.65%	-0.52	-12.5	14
2016-10-29	Dinamo Zagreb	L 0-1	52.9	1548	1867	11.61%	22.68%	65.70%	-1.23	-6.6	12
2016-10-29	@ Inter Zapresic	W 1-0	52.9	1867	1548	65.70%	22.68%	11.61%	+1.23	+6.6	32
2016-10-29	Istra 1961	W 2-0	50.8	1504	1553	39.05%	25.34%	35.61%	+0.06	+32.8	14
2016-10-29	@ Slaven Belupo	L 0-2	50.8	1553	1504	35.61%	25.34%	39.05%	-0.06	-32.8	11
2016-10-30	Osijek	W 1-0	57.3	1754	1704	51.77%	24.83%	23.40%	+0.52	+12.5	28
2016-10-30	@ Hajduk Split	L 0-1	57.3	1704	1754	23.40%	24.83%	51.77%	-0.52	-12.5	27
2016-10-30	Rijeka	L 0-2	50.9	1631	1928	12.87%	23.08%	64.06%	-1.13	-13.8	14
2016-10-30	@ Lokomotiva Zagreb	W 2-0	50.9	1928	1631	64.06%	23.08%	12.87%	+1.13	+13.8	38
2016-10-31	RNK Split	W 1-0	49.8	1436	1497	37.19%	25.35%	37.46%	+0.00	+18.0	8
2016-10-31	@ Cibalia	L 0-1	49.8	1497	1436	37.46%	25.35%	37.19%	+0.00	-18.0	7
2016-11-04	Inter Zapresic	L 0-1	62.5	1617	1542	54.59%	24.57%	20.84%	+0.64	-24.7	14
2016-11-04	@ Lokomotiva Zagreb	W 1-0	62.5	1542	1617	20.84%	24.57%	54.59%	-0.64	+24.7	15
2016-11-05	Hajduk Split	W 2-1	60.2	1942	1767	63.95%	23.10%	12.95%	+1.12	+7.0	41
2016-11-05	@ Rijeka	L 1-2	60.2	1767	1942	12.95%	23.10%	63.95%	-1.12	-7.0	28
2016-11-05	Slaven Belupo	W 1-0	51.7	1692	1537	62.26%	23.45%	14.29%	+1.02	+8.1	30
2016-11-05	@ Osijek	L 0-1	51.7	1537	1692	14.29%	23.45%	62.26%	-1.02	-8.1	14
2016-11-06	Cibalia	W 3-2	57.4	1520	1454	53.62%	24.67%	21.71%	+0.60	+10.5	14
2016-11-06	@ Istra 1961	L 2-3	57.4	1454	1520	21.71%	24.67%	53.62%	-0.60	-10.5	8
2016-11-06	Dinamo Zagreb	L 0-1	50.9	1479	1874	8.05%	21.09%	70.86%	-1.59	-4.6	7
2016-11-06	@ RNK Split	W 1-0	50.9	1874	1479	70.86%	21.09%	8.05%	+1.59	+4.6	35
2016-11-18	Istra 1961	D 1-1	74.8	1878	1530	75.03%	19.34%	5.63%	+1.94	-7.7	36
2016-11-18	@ Dinamo Zagreb	D 1-1	74.8	1530	1878	5.63%	19.34%	75.03%	-1.94	+7.7	15
2016-11-19	Lokomotiva Zagreb	W 1-0	53.1	1760	1592	63.33%	23.24%	13.44%	+1.08	+7.6	31
2016-11-19	@ Hajduk Split	L 0-1	53.1	1592	1760	13.44%	23.24%	63.33%	-1.08	-7.6	14
2016-11-19	RNK Split	W 2-0	45.1	1566	1474	56.36%	24.37%	19.26%	+0.72	+19.9	18
2016-11-19	@ Inter Zapresic	L 0-2	45.1	1474	1566	19.26%	24.37%	56.36%	-0.72	-19.9	7
2016-11-20	Osijek	L 0-2	47.2	1443	1700	15.64%	23.76%	60.60%	-0.93	-16.6	8
2016-11-20	@ Cibalia	W 2-0	47.2	1700	1443	60.60%	23.76%	15.64%	+0.93	+16.6	33
2016-11-20	Rijeka	D 0-0	69.7	1529	1949	7.13%	20.51%	72.36%	-1.71	+8.1	15
2016-11-20	@ Slaven Belupo	D 0-0	69.7	1949	1529	72.36%	20.51%	7.13%	+1.71	-8.1	42
2016-11-25	Slaven Belupo	L 0-2	57.6	1584	1537	51.49%	24.85%	23.66%	+0.51	-44.1	14
2016-11-25	@ Lokomotiva Zagreb	W 2-0	57.6	1537	1584	23.66%	24.85%	51.49%	-0.51	+44.2	18
2016-11-26	Cibalia	W 2-0	44.5	1941	1427	82.35%	15.16%	2.50%	+2.73	+2.4	45
2016-11-26	@ Rijeka	L 0-2	44.5	1427	1941	2.50%	15.16%	82.35%	-2.73	-2.4	8
2016-11-26	RNK Split	W 1-0	46.5	1538	1455	55.50%	24.47%	20.03%	+0.68	+10.9	18
2016-11-26	@ Istra 1961	L 0-1	46.5	1455	1538	20.03%	24.47%	55.50%	-0.68	-10.9	7
2016-11-27	Dinamo Zagreb	L 0-2	55.3	1717	1871	25.22%	24.97%	49.81%	-0.44	-25.0	33
2016-11-27	@ Osijek	W 2-0	55.3	1871	1717	49.81%	24.97%	25.22%	+0.44	+25.0	39
2016-11-27	Inter Zapresic	W 2-0	49.8	1767	1586	64.41%	23.00%	12.60%	+1.15	+13.5	34
2016-11-27	@ Hajduk Split	L 0-2	49.8	1586	1767	12.60%	23.00%	64.41%	-1.15	-13.5	18
2016-12-03	Lokomotiva Zagreb	L 1-4	48.7	1424	1540	29.77%	25.21%	45.01%	-0.26	-35.0	8
2016-12-03	@ Cibalia	W 4-1	48.7	1540	1424	45.01%	25.21%	29.77%	+0.26	+35.0	17
2016-12-03	Rijeka	D 1-1	73.9	1896	1943	39.16%	25.34%	35.50%	+0.06	-0.4	40
2016-12-03	@ Dinamo Zagreb	D 1-1	73.9	1943	1896	35.50%	25.34%	39.16%	-0.06	+0.3	46
2016-12-04	Hajduk Split	W 2-1	72.1	1581	1781	20.48%	24.53%	54.99%	-0.66	+23.4	21
2016-12-04	@ Slaven Belupo	L 1-2	72.1	1781	1581	54.99%	24.53%	20.48%	+0.66	-23.4	34
2016-12-04	Osijek	D 1-1	69.0	1444	1692	16.31%	23.89%	59.80%	-0.89	+4.6	8
2016-12-04	@ RNK Split	D 1-1	69.0	1692	1444	59.80%	23.89%	16.31%	+0.89	-4.6	34
2016-12-05	Istra 1961	D 2-2	74.2	1573	1549	48.65%	25.04%	26.30%	+0.40	-1.6	19
2016-12-05	@ Inter Zapresic	D 2-2	74.2	1549	1573	26.30%	25.04%	48.65%	-0.40	+1.7	19
2016-12-09	Inter Zapresic	W 2-0	51.3	1605	1571	49.84%	24.97%	25.19%	+0.45	+25.0	24
2016-12-09	@ Slaven Belupo	L 0-2	51.3	1571	1605	25.19%	24.97%	49.84%	-0.45	-25.0	19
2016-12-10	Hajduk Split	L 1-2	53.8	1389	1758	9.15%	21.68%	69.17%	-1.46	-4.9	8
2016-12-10	@ Cibalia	W 2-1	53.8	1758	1389	69.17%	21.68%	9.15%	+1.46	+4.9	37
2016-12-10	Osijek	L 1-3	59.2	1551	1687	27.28%	25.10%	47.62%	-0.36	-23.1	19
2016-12-10	@ Istra 1961	W 3-1	59.2	1687	1551	47.62%	25.10%	27.28%	+0.36	+23.1	37
2016-12-11	Lokomotiva Zagreb	W 3-1	53.8	1895	1575	73.54%	20.02%	6.44%	+1.81	+5.9	43
2016-12-11	@ Dinamo Zagreb	L 1-3	53.8	1575	1895	6.44%	20.02%	73.54%	-1.81	-5.9	17
2016-12-11	Rijeka	L 0-2	46.5	1448	1944	4.95%	18.68%	76.37%	-2.06	-5.1	8
2016-12-11	@ RNK Split	W 2-0	46.5	1944	1448	76.37%	18.68%	4.95%	+2.06	+5.1	49
2016-12-16	Osijek	D 2-2	77.5	1546	1710	24.13%	24.89%	50.98%	-0.49	+2.0	20
2016-12-16	@ Inter Zapresic	D 2-2	77.5	1710	1546	50.98%	24.89%	24.13%	+0.49	-2.0	38
2016-12-17	Dinamo Zagreb	L 0-1	58.9	1762	1901	26.98%	25.08%	47.93%	-0.37	-14.0	37
2016-12-17	@ Hajduk Split	W 1-0	58.9	1901	1762	47.93%	25.08%	26.98%	+0.37	+14.0	46
2016-12-17	Istra 1961	W 1-0	49.3	1949	1528	78.54%	17.51%	3.95%	+2.29	+2.1	52
2016-12-17	@ Rijeka	L 0-1	49.3	1528	1949	3.95%	17.51%	78.54%	-2.29	-2.1	19
2016-12-18	Cibalia	W 4-0	37.9	1630	1384	69.04%	21.72%	9.24%	+1.45	+18.9	27
2016-12-18	@ Slaven Belupo	L 0-4	37.9	1384	1630	9.24%	21.72%	69.04%	-1.45	-18.9	8
2016-12-18	RNK Split	W 3-0	41.1	1569	1443	59.73%	23.90%	16.37%	+0.89	+25.1	20
2016-12-18	@ Lokomotiva Zagreb	L 0-3	41.1	1443	1569	16.37%	23.90%	59.73%	-0.89	-25.1	8
2017-02-17	Lokomotiva Zagreb	W 1-0	56.8	1526	1594	36.11%	25.34%	38.55%	-0.04	+18.4	22
2017-02-17	@ Istra 1961	L 0-1	56.8	1594	1526	38.55%	25.34%	36.11%	+0.04	-18.4	20
2017-02-18	Inter Zapresic	D 1-1	61.0	1365	1548	22.15%	24.71%	53.13%	-0.58	+3.2	9
2017-02-18	@ Cibalia	D 1-1	61.0	1548	1365	53.13%	24.71%	22.15%	+0.58	-3.1	21
2017-02-18	Slaven Belupo	W 1-0	52.0	1915	1649	70.42%	21.25%	8.33%	+1.55	+4.8	49
2017-02-18	@ Dinamo Zagreb	L 0-1	52.0	1649	1915	8.33%	21.25%	70.42%	-1.55	-4.8	27
2017-02-19	Hajduk Split	D 1-1	70.3	1418	1748	10.98%	22.45%	66.57%	-1.28	+6.0	9
2017-02-19	@ RNK Split	D 1-1	70.3	1748	1418	66.57%	22.45%	10.98%	+1.28	-6.0	38
2017-02-19	Rijeka	L 2-3	66.5	1708	1951	16.72%	23.97%	59.31%	-0.87	-8.3	38
2017-02-19	@ Osijek	W 3-2	66.5	1951	1708	59.31%	23.97%	16.72%	+0.87	+8.4	55
2017-02-24	Istra 1961	W 4-0	46.3	1742	1544	65.74%	22.67%	11.58%	+1.23	+23.7	41
2017-02-24	@ Hajduk Split	L 0-4	46.3	1544	1742	11.58%	22.67%	65.74%	-1.23	-23.7	22
2017-02-25	Osijek	W 2-0	59.6	1576	1700	28.82%	25.17%	46.01%	-0.30	+40.0	23
2017-02-25	@ Lokomotiva Zagreb	L 0-2	59.6	1700	1576	46.01%	25.17%	28.82%	+0.30	-40.0	38
2017-02-25	RNK Split	L 0-1	62.8	1644	1424	67.30%	22.25%	10.45%	+1.33	-30.0	27
2017-02-25	@ Slaven Belupo	W 1-0	62.8	1424	1644	10.45%	22.25%	67.30%	-1.33	+30.0	12
2017-02-26	Dinamo Zagreb	L 1-2	53.8	1369	1920	3.77%	17.27%	78.96%	-2.33	-1.9	9
2017-02-26	@ Cibalia	W 2-1	53.8	1920	1369	78.96%	17.27%	3.77%	+2.33	+1.9	52
2017-02-26	Rijeka	L 1-2	57.4	1545	1959	7.33%	20.65%	72.02%	-1.68	-3.9	21
2017-02-26	@ Inter Zapresic	W 2-1	57.4	1959	1545	72.02%	20.65%	7.33%	+1.68	+3.9	58
2017-03-03	Slaven Belupo	D 0-0	63.4	1520	1614	32.72%	25.30%	41.98%	-0.16	+1.0	23
2017-03-03	@ Istra 1961	D 0-0	63.4	1614	1520	41.98%	25.30%	32.72%	+0.16	-1.0	28
2017-03-04	Inter Zapresic	W 2-0	46.8	1922	1541	76.67%	18.53%	4.80%	+2.09	+5.0	55
2017-03-04	@ Dinamo Zagreb	L 0-2	46.8	1541	1922	4.80%	18.53%	76.67%	-2.09	-5.0	21
2017-03-04	Lokomotiva Zagreb	W 2-1	56.7	1963	1616	74.98%	19.36%	5.65%	+1.93	+3.0	61
2017-03-04	@ Rijeka	L 1-2	56.7	1616	1963	5.65%	19.36%	74.98%	-1.93	-3.0	23
2017-03-05	Cibalia	W 1-0	40.8	1454	1367	55.88%	24.43%	19.69%	+0.70	+10.8	15
2017-03-05	@ RNK Split	L 0-1	40.8	1367	1454	19.69%	24.43%	55.88%	-0.70	-10.8	9
2017-03-05	Hajduk Split	W 2-1	69.4	1660	1766	31.02%	25.26%	43.73%	-0.22	+19.2	41
2017-03-05	@ Osijek	L 1-2	69.4	1766	1660	43.73%	25.26%	31.02%	+0.22	-19.2	41
2017-03-10	Lokomotiva Zagreb	D 0-0	63.8	1536	1613	34.99%	25.33%	39.68%	-0.08	+0.5	22
2017-03-10	@ Inter Zapresic	D 0-0	63.8	1613	1536	39.68%	25.33%	34.99%	+0.08	-0.5	24
2017-03-11	Rijeka	D 1-1	74.1	1747	1966	18.69%	24.29%	57.01%	-0.75	+4.0	42
2017-03-11	@ Hajduk Split	D 1-1	74.1	1966	1747	57.01%	24.29%	18.69%	+0.75	-4.0	62
2017-03-11	RNK Split	W 4-0	43.0	1927	1465	80.30%	16.47%	3.23%	+2.48	+6.1	58
2017-03-11	@ Dinamo Zagreb	L 0-4	43.0	1465	1927	3.23%	16.47%	80.30%	-2.48	-6.1	15
2017-03-12	Istra 1961	L 0-2	40.8	1356	1521	23.98%	24.88%	51.14%	-0.50	-24.0	9
2017-03-12	@ Cibalia	W 2-0	40.8	1521	1356	51.14%	24.88%	23.98%	+0.50	+24.0	26
2017-03-12	Osijek	L 1-2	66.0	1613	1679	36.52%	25.34%	38.14%	-0.03	-16.7	28
2017-03-12	@ Slaven Belupo	W 2-1	66.0	1679	1613	38.14%	25.34%	36.52%	+0.03	+16.7	44
2017-03-17	Hajduk Split	D 0-0	67.6	1613	1751	27.05%	25.09%	47.86%	-0.37	+2.3	25
2017-03-17	@ Lokomotiva Zagreb	D 0-0	67.6	1751	1613	47.86%	25.09%	27.05%	+0.37	-2.3	43
2017-03-18	Cibalia	W 2-0	38.7	1696	1332	75.83%	18.95%	5.22%	+2.01	+5.4	47
2017-03-18	@ Osijek	L 0-2	38.7	1332	1696	5.22%	18.95%	75.83%	-2.01	-5.4	9
2017-03-18	Inter Zapresic	D 0-0	58.6	1459	1537	34.85%	25.33%	39.82%	-0.08	+0.5	16
2017-03-18	@ RNK Split	D 0-0	58.6	1537	1459	39.82%	25.33%	34.85%	+0.08	-0.5	23
2017-03-19	Dinamo Zagreb	L 0-3	46.9	1545	1933	8.33%	21.25%	70.42%	-1.55	-13.0	26
2017-03-19	@ Istra 1961	W 3-0	46.9	1933	1545	70.42%	21.25%	8.33%	+1.55	+13.0	61
2017-03-19	Slaven Belupo	W 3-2	61.3	1962	1596	75.95%	18.90%	5.16%	+2.02	+2.6	65
2017-03-19	@ Rijeka	L 2-3	61.3	1596	1962	5.16%	18.90%	75.95%	-2.02	-2.5	28
2017-03-31	Hajduk Split	L 1-3	57.4	1536	1749	19.30%	24.38%	56.32%	-0.72	-17.3	23
2017-03-31	@ Inter Zapresic	W 3-1	57.4	1749	1536	56.32%	24.38%	19.30%	+0.72	+17.3	46
2017-04-01	Lokomotiva Zagreb	D 1-1	70.5	1594	1615	42.80%	25.28%	31.92%	+0.19	-1.0	29
2017-04-01	@ Slaven Belupo	D 1-1	70.5	1615	1594	31.92%	25.28%	42.80%	-0.19	+1.0	26
2017-04-01	Osijek	W 2-1	58.6	1946	1701	69.02%	21.73%	9.26%	+1.45	+5.0	64
2017-04-01	@ Dinamo Zagreb	L 1-2	58.6	1701	1946	9.26%	21.73%	69.02%	-1.45	-5.0	47
2017-04-02	Istra 1961	L 0-1	51.4	1459	1532	35.54%	25.34%	39.12%	-0.06	-17.3	16
2017-04-02	@ RNK Split	W 1-0	51.4	1532	1459	39.12%	25.34%	35.54%	+0.06	+17.3	29
2017-04-02	Rijeka	L 0-3	41.8	1327	1965	2.46%	15.08%	82.46%	-2.74	-3.4	9
2017-04-02	@ Cibalia	W 3-0	41.8	1965	1327	82.46%	15.08%	2.46%	+2.74	+3.4	68
2017-04-07	Cibalia	W 4-1	39.7	1616	1323	72.00%	20.66%	7.34%	+1.68	+9.6	29
2017-04-07	@ Lokomotiva Zagreb	L 1-4	39.7	1323	1616	7.34%	20.66%	72.00%	-1.68	-9.6	9
2017-04-08	Dinamo Zagreb	D 1-1	74.0	1968	1951	47.83%	25.09%	27.08%	+0.37	-2.0	69
2017-04-08	@ Rijeka	D 1-1	74.0	1951	1968	27.08%	25.09%	47.83%	-0.37	+2.0	65
2017-04-08	Slaven Belupo	D 1-1	73.3	1766	1593	63.79%	23.14%	13.07%	+1.11	-5.5	47
2017-04-08	@ Hajduk Split	D 1-1	73.3	1593	1766	13.07%	23.14%	63.79%	-1.11	+5.5	30
2017-04-09	Inter Zapresic	W 1-0	51.1	1550	1519	49.51%	24.99%	25.50%	+0.43	+13.4	32
2017-04-09	@ Istra 1961	L 0-1	51.1	1519	1550	25.50%	24.99%	49.51%	-0.43	-13.4	23
2017-04-09	RNK Split	W 4-0	42.0	1696	1442	69.62%	21.53%	8.85%	+1.49	+18.1	50
2017-04-09	@ Osijek	L 0-4	42.0	1442	1696	8.85%	21.53%	69.62%	-1.49	-18.1	16
2017-04-14	Cibalia	W 3-0	37.4	1760	1313	79.67%	16.86%	3.48%	+2.41	+5.0	50
2017-04-14	@ Hajduk Split	L 0-3	37.4	1313	1760	3.48%	16.86%	79.67%	-2.41	-5.0	9
2017-04-14	Dinamo Zagreb	L 1-2	59.3	1626	1953	11.14%	22.51%	66.34%	-1.27	-6.0	29
2017-04-14	@ Lokomotiva Zagreb	W 2-1	59.3	1953	1626	66.34%	22.51%	11.14%	+1.27	+6.0	68
2017-04-15	Istra 1961	W 2-0	49.6	1714	1563	61.94%	23.52%	14.54%	+1.00	+15.5	53
2017-04-15	@ Osijek	L 0-2	49.6	1563	1714	14.54%	23.52%	61.94%	-1.00	-15.5	32
2017-04-15	RNK Split	W 2-0	44.4	1966	1424	83.37%	14.46%	2.17%	+2.86	+2.0	72
2017-04-15	@ Rijeka	L 0-2	44.4	1424	1966	2.17%	14.46%	83.37%	-2.86	-2.0	16
2017-04-15	Slaven Belupo	D 1-1	67.6	1505	1598	32.85%	25.30%	41.84%	-0.15	+0.9	24
2017-04-15	@ Inter Zapresic	D 1-1	67.6	1598	1505	41.84%	25.30%	32.85%	+0.15	-0.9	31
2017-04-21	Inter Zapresic	W 2-1	56.3	1730	1506	67.55%	22.18%	10.27%	+1.35	+5.5	56
2017-04-21	@ Osijek	L 1-2	56.3	1506	1730	10.27%	22.18%	67.55%	-1.35	-5.5	24
2017-04-21	Slaven Belupo	W 3-1	59.0	1308	1597	13.43%	23.23%	63.34%	-1.08	+46.3	12
2017-04-21	@ Cibalia	L 1-3	59.0	1597	1308	63.34%	23.23%	13.43%	+1.08	-46.3	31
2017-04-22	Hajduk Split	L 0-2	66.8	1959	1765	65.38%	22.76%	11.86%	+1.21	-55.1	68
2017-04-22	@ Dinamo Zagreb	W 2-0	66.8	1765	1959	11.86%	22.76%	65.38%	-1.21	+55.1	53
2017-04-22	Rijeka	D 1-1	74.9	1547	1968	7.10%	20.50%	72.40%	-1.71	+7.2	33
2017-04-22	@ Istra 1961	D 1-1	74.9	1968	1547	72.40%	20.50%	7.10%	+1.71	-7.2	73
2017-04-23	Lokomotiva Zagreb	D 0-0	60.5	1422	1620	20.66%	24.55%	54.79%	-0.65	+3.9	17
2017-04-23	@ RNK Split	D 0-0	60.5	1620	1422	54.79%	24.55%	20.66%	+0.65	-3.9	30
2017-04-25	Dinamo Zagreb	W 2-1	75.9	1551	1904	9.84%	21.99%	68.16%	-1.39	+28.6	34
2017-04-25	@ Slaven Belupo	L 1-2	75.9	1904	1551	68.16%	21.99%	9.84%	+1.39	-28.6	68
2017-04-25	Osijek	W 2-0	50.0	1961	1735	67.72%	22.13%	10.16%	+1.36	+11.0	76
2017-04-25	@ Rijeka	L 0-2	50.0	1735	1961	10.16%	22.13%	67.72%	-1.36	-11.0	56
2017-04-26	Cibalia	D 1-1	59.5	1501	1355	61.49%	23.60%	14.91%	+0.98	-5.0	25
2017-04-26	@ Inter Zapresic	D 1-1	59.5	1355	1501	14.91%	23.60%	61.49%	-0.98	+5.0	13
2017-04-26	Istra 1961	W 1-0	53.2	1616	1555	53.04%	24.72%	22.24%	+0.58	+11.9	33
2017-04-26	@ Lokomotiva Zagreb	L 0-1	53.2	1555	1616	22.24%	24.72%	53.04%	-0.58	-12.0	33
2017-04-26	RNK Split	W 5-2	49.8	1821	1426	77.34%	18.17%	4.48%	+2.16	+4.9	56
2017-04-26	@ Hajduk Split	L 2-5	49.8	1426	1821	4.48%	18.17%	77.34%	-2.16	-4.9	17
2017-04-29	Cibalia	W 6-0	41.3	1875	1360	82.40%	15.12%	2.48%	+2.73	+6.6	71
2017-04-29	@ Dinamo Zagreb	L 0-6	41.3	1360	1875	2.48%	15.12%	82.40%	-2.73	-6.6	13
2017-04-29	Inter Zapresic	W 2-0	45.6	1972	1496	80.87%	16.12%	3.02%	+2.55	+3.0	79
2017-04-29	@ Rijeka	L 0-2	45.6	1496	1972	3.02%	16.12%	80.87%	-2.55	-3.0	25
2017-04-30	Hajduk Split	L 0-2	50.4	1543	1825	13.82%	23.34%	62.84%	-1.05	-14.8	33
2017-04-30	@ Istra 1961	W 2-0	50.4	1825	1543	62.84%	23.34%	13.82%	+1.05	+14.8	59
2017-04-30	Slaven Belupo	D 0-0	58.9	1421	1579	24.71%	24.94%	50.35%	-0.47	+2.9	18
2017-04-30	@ RNK Split	D 0-0	58.9	1579	1421	50.35%	24.94%	24.71%	+0.47	-2.9	35
2017-05-01	Lokomotiva Zagreb	W 1-0	55.1	1724	1628	56.84%	24.31%	18.85%	+0.75	+10.4	59
2017-05-01	@ Osijek	L 0-1	55.1	1628	1724	18.85%	24.31%	56.84%	-0.75	-10.4	33
2017-05-04	Dinamo Zagreb	L 0-3	46.3	1493	1882	8.28%	21.22%	70.51%	-1.56	-12.9	25
2017-05-04	@ Inter Zapresic	W 3-0	46.3	1882	1493	70.51%	21.22%	8.28%	+1.56	+12.9	74
2017-05-06	Osijek	W 5-1	54.0	1840	1735	57.74%	24.20%	18.06%	+0.79	+29.8	62
2017-05-06	@ Hajduk Split	L 1-5	54.0	1735	1840	18.06%	24.20%	57.74%	-0.79	-29.8	59
2017-05-06	Rijeka	W 1-0	70.3	1617	1975	9.63%	21.90%	68.47%	-1.41	+30.5	36
2017-05-06	@ Lokomotiva Zagreb	L 0-1	70.3	1975	1617	68.47%	21.90%	9.63%	+1.41	-30.5	79
2017-05-07	Istra 1961	W 2-0	48.7	1577	1528	51.63%	24.84%	23.53%	+0.52	+23.6	38
2017-05-07	@ Slaven Belupo	L 0-2	48.7	1528	1577	23.53%	24.84%	51.63%	-0.52	-23.6	33
2017-05-07	RNK Split	W 1-0	45.8	1353	1424	35.89%	25.34%	38.77%	-0.05	+18.5	16
2017-05-07	@ Cibalia	L 0-1	45.8	1424	1353	38.77%	25.34%	35.89%	+0.05	-18.5	18
2017-05-12	Cibalia	L 1-2	60.4	1504	1372	60.31%	23.81%	15.88%	+0.92	-25.5	33
2017-05-12	@ Istra 1961	W 2-1	60.4	1372	1504	15.88%	23.81%	60.31%	-0.92	+25.5	19
2017-05-12	Dinamo Zagreb	L 0-1	48.7	1405	1895	5.09%	18.83%	76.09%	-2.04	-2.8	18
2017-05-12	@ RNK Split	W 1-0	48.7	1895	1405	76.09%	18.83%	5.09%	+2.04	+2.8	77
2017-05-13	Hajduk Split	W 2-0	54.0	1944	1870	54.51%	24.58%	20.91%	+0.64	+21.4	82
2017-05-13	@ Rijeka	L 0-2	54.0	1870	1944	20.91%	24.58%	54.51%	-0.64	-21.4	62
2017-05-13	Inter Zapresic	W 2-0	45.9	1648	1480	63.34%	23.23%	13.43%	+1.08	+14.4	39
2017-05-13	@ Lokomotiva Zagreb	L 0-2	45.9	1480	1648	13.43%	23.23%	63.34%	-1.08	-14.4	25
2017-05-13	Slaven Belupo	W 3-0	49.4	1705	1600	57.64%	24.21%	18.15%	+0.78	+27.5	62
2017-05-13	@ Osijek	L 0-3	49.4	1600	1705	18.15%	24.21%	57.64%	-0.78	-27.5	38
2017-05-16	Lokomotiva Zagreb	D 1-1	74.2	1849	1662	64.83%	22.90%	12.27%	+1.17	-5.7	63
2017-05-16	@ Hajduk Split	D 1-1	74.2	1662	1849	12.27%	22.90%	64.83%	-1.17	+5.7	40
2017-05-16	Osijek	D 1-1	69.3	1397	1732	10.74%	22.36%	66.90%	-1.30	+6.1	20
2017-05-16	@ Cibalia	D 1-1	69.3	1732	1397	66.90%	22.36%	10.74%	+1.30	-6.1	63
2017-05-17	Istra 1961	W 2-1	54.8	1898	1479	78.44%	17.57%	3.99%	+2.27	+2.0	80
2017-05-17	@ Dinamo Zagreb	L 1-2	54.8	1479	1898	3.99%	17.57%	78.44%	-2.27	-2.0	33
2017-05-17	Rijeka	L 0-2	48.9	1573	1966	8.12%	21.13%	70.75%	-1.58	-8.7	38
2017-05-17	@ Slaven Belupo	W 2-0	48.9	1966	1573	70.75%	21.13%	8.12%	+1.58	+8.7	85
2017-05-17	RNK Split	W 1-0	42.9	1466	1402	53.29%	24.70%	22.01%	+0.59	+11.9	28
2017-05-17	@ Inter Zapresic	L 0-1	42.9	1402	1466	22.01%	24.70%	53.29%	-0.59	-11.8	18
2017-05-20	Inter Zapresic	W 6-0	44.5	1843	1477	75.92%	18.91%	5.17%	+2.02	+14.9	66
2017-05-20	@ Hajduk Split	L 0-6	44.5	1477	1843	5.17%	18.91%	75.92%	-2.02	-15.0	28
2017-05-20	Slaven Belupo	W 2-1	59.2	1668	1564	57.56%	24.22%	18.22%	+0.78	+9.5	43
2017-05-20	@ Lokomotiva Zagreb	L 1-2	59.2	1564	1668	18.22%	24.22%	57.56%	-0.78	-9.5	38
2017-05-21	Cibalia	W 4-0	41.7	1974	1403	84.37%	13.75%	1.88%	+3.00	+3.3	88
2017-05-21	@ Rijeka	L 0-4	41.7	1403	1974	1.88%	13.75%	84.37%	-3.00	-3.3	20
2017-05-21	Dinamo Zagreb	L 0-1	57.6	1726	1900	23.11%	24.80%	52.09%	-0.54	-12.3	63
2017-05-21	@ Osijek	W 1-0	57.6	1900	1726	52.09%	24.80%	23.11%	+0.54	+12.3	83
2017-05-22	RNK Split	W 1-0	42.1	1477	1390	55.78%	24.44%	19.78%	+0.70	+10.8	36
2017-05-22	@ Istra 1961	L 0-1	42.1	1390	1477	19.78%	24.44%	55.78%	-0.70	-10.8	18
2017-05-26	Hajduk Split	L 1-2	59.3	1554	1858	12.51%	22.97%	64.52%	-1.15	-6.7	38
2017-05-26	@ Slaven Belupo	W 2-1	59.3	1858	1554	64.52%	22.97%	12.51%	+1.15	+6.7	69
2017-05-26	Lokomotiva Zagreb	D 1-1	67.3	1400	1677	14.18%	23.43%	62.39%	-1.03	+5.2	21
2017-05-26	@ Cibalia	D 1-1	67.3	1677	1400	62.39%	23.43%	14.18%	+1.03	-5.1	44
2017-05-26	Osijek	L 0-1	46.8	1380	1714	10.78%	22.38%	66.84%	-1.30	-6.2	18
2017-05-26	@ RNK Split	W 1-0	46.8	1714	1380	66.84%	22.38%	10.78%	+1.30	+6.2	66
2017-05-27	Istra 1961	L 0-3	47.0	1462	1488	42.29%	25.29%	32.42%	+0.17	-54.3	28
2017-05-27	@ Inter Zapresic	W 3-0	47.0	1488	1462	32.42%	25.29%	42.29%	-0.17	+54.3	39
2017-05-27	Rijeka	W 5-2	64.7	1912	1978	36.56%	25.34%	38.09%	-0.03	+36.5	86
2017-05-27	@ Dinamo Zagreb	L 2-5	64.7	1978	1912	38.09%	25.34%	36.56%	+0.03	-36.5	88

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	2016-09-10	9.60%	Osijek	1674	1	@ Dinamo Zagreb	1911	0
2	2017-05-06	9.63%	@ Lokomotiva Zagreb	1617	1	Rijeka	1975	0
3	2017-04-25	9.84%	@ Slaven Belupo	1551	2	Dinamo Zagreb	1904	1
4	2017-02-25	10.45%	RNK Split	1424	1	@ Slaven Belupo	1644	0
5	2017-04-22	11.86%	Hajduk Split	1765	2	@ Dinamo Zagreb	1959	0
6	2017-04-21	13.43%	@ Cibalia	1308	3	Slaven Belupo	1597	1
7	2017-05-12	15.88%	Cibalia	1372	2	@ Istra 1961	1504	1
8	2016-09-10	17.99%	Istra 1961	1455	3	@ RNK Split	1561	0
9	2016-09-11	20.13%	Lokomotiva Zagreb	1551	3	@ Slaven Belupo	1633	2
10	2016-12-04	20.48%	@ Slaven Belupo	1581	2	Hajduk Split	1781	1
11	2016-11-04	20.84%	Inter Zapresic	1542	1	@ Lokomotiva Zagreb	1617	0
12	2016-11-25	23.66%	Slaven Belupo	1537	2	@ Lokomotiva Zagreb	1584	0
13	2016-08-20	25.79%	Osijek	1637	3	@ Slaven Belupo	1665	2
14	2016-08-08	28.49%	Osijek	1618	3	@ Lokomotiva Zagreb	1624	2
15	2016-07-23	28.63%	Osijek	1589	2	@ Inter Zapresic	1594	0
16	2017-02-25	28.82%	@ Lokomotiva Zagreb	1576	2	Osijek	1700	0
17	2016-10-21	28.83%	@ RNK Split	1439	3	Slaven Belupo	1562	0
18	2017-03-05	31.02%	@ Osijek	1660	2	Hajduk Split	1766	1
19	2017-05-27	32.42%	Istra 1961	1488	3	@ Inter Zapresic	1462	0
20	2017-05-07	35.89%	@ Cibalia	1353	1	RNK Split	1424	0
21	2017-02-17	36.11%	@ Istra 1961	1526	1	Lokomotiva Zagreb	1594	0
22	2017-05-27	36.56%	@ Dinamo Zagreb	1912	5	Rijeka	1978	2
23	2016-10-31	37.19%	@ Cibalia	1436	1	RNK Split	1497	0

Biggest Elo Changes

The 25 games that resulted in the largest shift in Elo rating.

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2016-09-10	71.30	Istra 1961	3	1455	17.99%	@ RNK Split	0	1561	57.82%	24.19%
2	2016-10-21	58.14	@ RNK Split	3	1439	28.83%	Slaven Belupo	0	1562	45.99%	25.18%
3	2016-08-10	55.67	Dinamo Zagreb	4	1846	43.92%	@ Hajduk Split	0	1738	30.83%	25.25%
4	2017-04-22	55.10	Hajduk Split	2	1765	11.86%	@ Dinamo Zagreb	0	1959	65.38%	22.76%
5	2017-05-27	54.28	Istra 1961	3	1488	32.42%	@ Inter Zapresic	0	1462	42.29%	25.29%
6	2017-04-21	46.33	@ Cibalia	3	1308	13.43%	Slaven Belupo	1	1597	63.34%	23.23%
7	2016-11-25	44.15	Slaven Belupo	2	1537	23.66%	@ Lokomotiva Zagreb	0	1584	51.49%	24.85%
8	2016-09-16	42.52	@ Lokomotiva Zagreb	4	1573	53.21%	Cibalia	0	1510	22.08%	24.71%
9	2016-09-17	40.26	@ Istra 1961	4	1526	38.89%	Inter Zapresic	1	1576	35.77%	25.34%
10	2016-07-23	40.19	Osijek	2	1589	28.63%	@ Inter Zapresic	0	1594	46.21%	25.17%
11	2017-02-25	40.05	@ Lokomotiva Zagreb	2	1576	28.82%	Osijek	0	1700	46.01%	25.17%
12	2016-09-17	39.27	@ Hajduk Split	4	1693	55.40%	Slaven Belupo	0	1611	20.11%	24.49%
13	2017-05-27	36.55	@ Dinamo Zagreb	5	1912	36.56%	Rijeka	2	1978	38.09%	25.34%
14	2016-12-03	34.97	Lokomotiva Zagreb	4	1540	45.01%	@ Cibalia	1	1424	29.77%	25.21%
15	2016-07-16	33.88	Rijeka	3	1781	52.01%	@ RNK Split	0	1609	23.18%	24.81%
16	2016-10-29	32.76	@ Slaven Belupo	2	1504	39.05%	Istra 1961	0	1553	35.61%	25.34%
17	2016-08-28	31.99	Hajduk Split	2	1663	40.17%	@ Lokomotiva Zagreb	0	1583	34.50%	25.33%
18	2016-09-18	31.98	@ Rijeka	5	1859	42.79%	Dinamo Zagreb	2	1880	31.93%	25.28%
19	2016-09-10	30.51	Osijek	1	1674	9.60%	@ Dinamo Zagreb	0	1911	68.52%	21.89%
20	2017-05-06	30.49	@ Lokomotiva Zagreb	1	1617	9.63%	Rijeka	0	1975	68.47%	21.90%
21	2017-02-25	30.02	RNK Split	1	1424	10.45%	@ Slaven Belupo	0	1644	67.30%	22.25%
22	2016-07-17	30.01	Hajduk Split	2	1675	42.98%	@ Cibalia	0	1574	31.75%	25.28%
23	2017-05-06	29.81	@ Hajduk Split	5	1840	57.74%	Osijek	1	1735	18.06%	24.20%
24	2017-04-25	28.63	@ Slaven Belupo	2	1551	9.84%	Dinamo Zagreb	1	1904	68.16%	21.99%
25	2017-05-13	27.50	@ Osijek	3	1705	57.64%	Slaven Belupo	0	1600	18.15%	24.21%

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	2016-12-16	77.5	@ Inter Zapresic	2	1546	24.13%	Osijek	2	1710	50.98%	24.89%
2	2016-07-30	76.6	@ Cibalia	3	1535	43.23%	Inter Zapresic	3	1554	31.50%	25.27%
3	2017-04-25	75.9	@ Slaven Belupo	2	1551	9.84%	Dinamo Zagreb	1	1904	68.16%	21.99%
4	2017-04-22	74.9	@ Istra 1961	1	1547	7.10%	Rijeka	1	1968	72.40%	20.50%
5	2016-08-20	74.8	Osijek	3	1637	25.79%	@ Slaven Belupo	2	1665	49.20%	25.01%
6	2016-11-18	74.8	@ Dinamo Zagreb	1	1878	75.03%	Istra 1961	1	1530	5.63%	19.34%
7	2016-09-11	74.4	Lokomotiva Zagreb	3	1551	20.13%	@ Slaven Belupo	2	1633	55.38%	24.49%
8	2016-12-05	74.2	@ Inter Zapresic	2	1573	48.65%	Istra 1961	2	1549	26.30%	25.04%
9	2017-05-16	74.2	@ Hajduk Split	1	1849	64.83%	Lokomotiva Zagreb	1	1662	12.27%	22.90%
10	2016-07-29	74.1	@ Dinamo Zagreb	1	1837	63.38%	Slaven Belupo	1	1669	13.40%	23.22%
11	2017-03-11	74.1	@ Hajduk Split	1	1747	18.69%	Rijeka	1	1966	57.01%	24.29%
12	2017-04-08	74.0	@ Rijeka	1	1968	47.83%	Dinamo Zagreb	1	1951	27.08%	25.09%
13	2016-12-03	73.9	@ Dinamo Zagreb	1	1896	39.16%	Rijeka	1	1943	35.50%	25.34%
14	2016-08-07	73.5	@ Inter Zapresic	1	1554	14.01%	Rijeka	1	1834	62.61%	23.38%
15	2017-04-08	73.3	@ Hajduk Split	1	1766	63.79%	Slaven Belupo	1	1593	13.07%	23.14%
16	2016-08-12	73.2	@ RNK Split	2	1568	51.48%	Cibalia	2	1521	23.67%	24.85%
17	2016-08-08	73.1	Osijek	3	1618	28.49%	@ Lokomotiva Zagreb	2	1624	46.35%	25.16%
18	2016-09-25	72.4	@ Osijek	1	1721	62.22%	Istra 1961	1	1566	14.32%	23.46%
19	2016-08-14	72.2	@ Osijek	1	1637	39.56%	Hajduk Split	1	1682	35.11%	25.34%
20	2016-12-04	72.1	@ Slaven Belupo	2	1581	20.48%	Hajduk Split	1	1781	54.99%	24.53%
21	2016-10-01	72.0	@ Osijek	1	1716	64.40%	Inter Zapresic	1	1535	12.60%	23.00%
22	2016-09-09	71.6	@ Inter Zapresic	1	1574	29.15%	Hajduk Split	1	1695	45.66%	25.19%
23	2017-04-01	70.5	@ Slaven Belupo	1	1594	42.80%	Lokomotiva Zagreb	1	1615	31.92%	25.28%
24	2016-09-10	70.3	Osijek	1	1674	9.60%	@ Dinamo Zagreb	0	1911	68.52%	21.89%
25	2017-02-19	70.3	@ RNK Split	1	1418	10.98%	Hajduk Split	1	1748	66.57%	22.45%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2017-04-14	37.4	@ Hajduk Split	3	1760	79.67%	Cibalia	0	1313	3.48%	16.86%
2	2016-12-18	37.9	@ Slaven Belupo	4	1630	69.04%	Cibalia	0	1384	9.24%	21.72%
3	2017-03-18	38.7	@ Osijek	2	1696	75.83%	Cibalia	0	1332	5.22%	18.95%
4	2017-04-07	39.7	@ Lokomotiva Zagreb	4	1616	72.00%	Cibalia	1	1323	7.34%	20.66%
5	2017-03-05	40.8	@ RNK Split	1	1454	55.88%	Cibalia	0	1367	19.69%	24.43%
6	2017-03-12	40.8	Istra 1961	2	1521	51.14%	@ Cibalia	0	1356	23.98%	24.88%
7	2016-12-18	41.1	@ Lokomotiva Zagreb	3	1569	59.73%	RNK Split	0	1443	16.37%	23.90%
8	2017-04-29	41.3	@ Dinamo Zagreb	6	1875	82.40%	Cibalia	0	1360	2.48%	15.12%
9	2017-05-21	41.7	@ Rijeka	4	1974	84.37%	Cibalia	0	1403	1.88%	13.75%
10	2017-04-02	41.8	Rijeka	3	1965	82.46%	@ Cibalia	0	1327	2.46%	15.08%
11	2017-04-09	42.0	@ Osijek	4	1696	69.62%	RNK Split	0	1442	8.85%	21.53%
12	2017-05-22	42.1	@ Istra 1961	1	1477	55.78%	RNK Split	0	1390	19.78%	24.44%
13	2017-05-17	42.9	@ Inter Zapresic	1	1466	53.29%	RNK Split	0	1402	22.01%	24.70%
14	2017-03-11	43.0	@ Dinamo Zagreb	4	1927	80.30%	RNK Split	0	1465	3.23%	16.47%
15	2016-10-22	43.2	@ Dinamo Zagreb	3	1861	78.48%	Cibalia	0	1442	3.97%	17.54%
16	2016-08-07	43.4	@ Hajduk Split	4	1719	69.39%	Istra 1961	0	1469	9.01%	21.60%
17	2017-04-15	44.4	@ Rijeka	2	1966	83.37%	RNK Split	0	1424	2.17%	14.46%
18	2016-11-26	44.5	@ Rijeka	2	1941	82.35%	Cibalia	0	1427	2.50%	15.16%
19	2017-05-20	44.5	@ Hajduk Split	6	1843	75.92%	Inter Zapresic	0	1477	5.17%	18.91%
20	2016-09-18	44.7	@ Osijek	3	1704	66.89%	RNK Split	0	1490	10.75%	22.37%
21	2016-11-19	45.1	@ Inter Zapresic	2	1566	56.36%	RNK Split	0	1474	19.26%	24.37%
22	2016-09-16	45.2	@ Lokomotiva Zagreb	4	1573	53.21%	Cibalia	0	1510	22.08%	24.71%
23	2017-04-29	45.6	@ Rijeka	2	1972	80.87%	Inter Zapresic	0	1496	3.02%	16.12%
24	2016-09-25	45.7	@ Rijeka	2	1891	78.39%	RNK Split	0	1473	4.01%	17.60%
25	2017-05-07	45.8	@ Cibalia	1	1353	35.89%	RNK Split	0	1424	38.77%	25.34%