2017-18 Kategoria Superiore Season

180 games

Final

Champion

Skenderbeu

72 points · 8th Title

Last Title: 2015-16

Relegated

No relegation

Biggest Overachiever

Luftetari

10.57 points above expected

59 points · 48.43 expected points

Biggest Disappointment

Lushnja

12.17 points below expected

11 points · 23.17 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	Skenderbeu Champion	36	22	6	8	72	68	41	+27	73.30	-1.30
2	Kukesi	36	18	9	9	63	61	41	+20	69.76	-6.76
3	Luftetari	36	16	11	9	59	47	37	+10	48.43	+10.57
4	Laci	36	16	8	12	56	45	39	+6	49.43	+6.57
5	Partizani	36	15	8	13	53	41	36	+5	55.30	-2.30
6	Flamurtari	36	11	13	12	46	37	37	0	53.49	-7.49
7	Kamza	36	12	10	14	46	37	41	-4	40.45	+5.55
8	Teuta	36	12	10	14	46	55	58	-3	42.83	+3.17
9	Vllaznia	36	12	8	16	44	38	42	-4	40.65	+3.35
10	Lushnja	36	2	5	29	11	29	86	-57	23.17	-12.17

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	Luftetari	59	48.43	+10.57
2	Laci	56	49.43	+6.57
3	Kamza	46	40.45	+5.55
4	Vllaznia	44	40.65	+3.35
5	Teuta	46	42.83	+3.17

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Lushnja	11	23.17	-12.17
2	Flamurtari	46	53.49	-7.49
3	Kukesi	63	69.76	-6.76
4	Partizani	53	55.30	-2.30
5	Skenderbeu	72	73.30	-1.30

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	Luftetari	4	Dec 10 – Jan 26	1 in 540
2	Teuta	4	May 5 – May 19	1 in 307
3	Laci	4	Dec 3 – Dec 22	1 in 68
4	Skenderbeu	7	Sep 23 – Nov 5	1 in 68
5	Kukesi	4	Mar 19 – Apr 14	1 in 12

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Lushnja	12	Feb 10 – Apr 21	1 in 247
2	Skenderbeu	3	May 13 – May 23	1 in 174
3	Partizani	3	Oct 29 – Nov 16	1 in 51
4	Flamurtari	3	Mar 1 – Mar 10	1 in 40
5	Kukesi	2	Dec 2 – Dec 9	1 in 35

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Luftetari	11	Dec 4 – Mar 5	1 in 348
2	Flamurtari	13	Sep 16 – Dec 9	1 in 173
3	Kamza	6	Oct 30 – Dec 2	1 in 57
4	Teuta	5	Mar 14 – Apr 15	1 in 26
5	Skenderbeu	13	Sep 9 – Dec 2	1 in 22

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Flamurtari	8	Feb 24 – Apr 9	1 in 58
2	Kukesi	4	Oct 29 – Nov 20	1 in 36
3	Teuta	10	Nov 25 – Feb 24	1 in 28
4	Partizani	5	Apr 14 – May 9	1 in 19
5	Lushnja	22	Dec 16 – May 23	1 in 18

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
Skenderbeu	1437	72	-126	3	10.4	-7.4
Kukesi	1509	63	-37	5	10.7	-5.7
Luftetari	1462	59	+23	9	8.1	+0.9
Laci	1381	56	+51	13	7.2	+5.8
Partizani	1396	53	-19	7	8.3	-1.3
Teuta	1370	46	+66	12	5.9	+6.1
Kamza	1298	46	+24	8	5.3	+2.7
Flamurtari	1320	46	-23	3	6.5	-3.5
Vllaznia	1368	44	+59	8	5.0	+3.0
Lushnja	1044	11	-18	0	1.8	-1.8

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	FLA	KAM	KUK	LAC	LUF	LUS	PAR	SKE	TEU	VLL
Flamurtari	—	2-1-1 6.58	0-3-1 3.70	0-2-2 5.85	0-2-2 6.09	4-0-0 8.40	2-0-2 4.89	0-1-3 3.51	2-2-0 6.57	1-2-1 7.04
Kamza	1-1-2 4.39	—	1-1-2 2.80	2-0-2 4.23	1-1-2 4.60	3-1-0 7.57	2-0-2 3.77	0-2-2 2.57	1-2-1 5.37	1-2-1 5.62
Kukesi	1-3-0 7.32	2-1-1 8.26	—	3-1-0 7.69	1-1-2 7.47	3-0-1 9.59	2-1-1 6.59	1-1-2 5.03	3-0-1 8.16	2-1-1 8.41
Laci	2-2-0 5.12	2-0-2 6.75	0-1-3 3.34	—	0-2-2 5.69	4-0-0 8.41	2-1-1 4.44	2-0-2 2.91	1-2-1 6.40	3-0-1 6.38
Luftetari	2-2-0 4.90	2-1-1 6.40	2-1-1 3.54	2-2-0 5.29	—	3-1-0 8.65	1-1-2 4.84	2-0-2 3.27	1-1-2 6.21	1-2-1 6.44
Lushnja	0-0-4 2.69	0-1-3 3.47	1-0-3 1.67	0-0-4 2.69	0-1-3 2.49	—	0-2-2 2.30	0-0-4 1.51	1-1-2 3.10	0-0-4 4.09
Partizani	2-0-2 6.09	2-0-2 7.23	1-1-2 4.39	1-1-2 6.55	2-1-1 6.15	2-2-0 8.83	—	0-1-3 3.76	2-1-1 7.08	3-1-0 7.20
Skenderbeu	3-1-0 7.50	2-2-0 8.53	2-1-1 5.95	2-0-2 8.14	2-0-2 7.78	4-0-0 9.79	3-1-0 7.24	—	2-1-1 8.57	2-0-2 8.70
Teuta	0-2-2 4.42	1-2-1 5.61	1-0-3 2.90	1-2-1 4.58	2-1-1 4.77	2-1-1 7.97	1-1-2 3.92	1-1-2 2.53	—	3-0-1 5.69
Vllaznia	1-2-1 3.96	1-2-1 5.35	1-1-2 2.68	1-0-3 4.60	1-2-1 4.55	4-0-0 6.93	0-1-3 3.80	2-0-2 2.41	1-0-3 5.28	—

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	0.63	+10.6
Allowed	0.67	-8.7
Differential	0.98	+7.1

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	10.56%	9.44%	6.11%	2.50%	0.83%	0.56%	30.00%
1	9.44%	8.33%	8.89%	4.44%	0.83%	0.28%	32.22%
2	6.11%	8.89%	5.00%	2.50%	1.11%	0.28%	23.89%
3	2.50%	4.44%	2.50%	0.56%	—	—	10.00%
4	0.83%	0.83%	1.11%	—	—	—	2.78%
5+	0.56%	0.28%	0.28%	—	—	—	1.11%
Total	30.00%	32.22%	23.89%	10.00%	2.78%	1.11%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.27	1.27	+0.00
SD	1.16	1.16	1.66
CV	0.91	0.91	—
Max	6	6	+6
Min	0	0	-6

Games Played: 180

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	13.89%	2.78%	5.56%	—	—	33.33%
1	11.11%	19.44%	8.33%	—	—	—	38.89%
2	8.33%	2.78%	5.56%	—	2.78%	—	19.44%
3	2.78%	5.56%	—	—	—	—	8.33%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	33.33%	41.67%	16.67%	5.56%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.03	1.03	+0.00
SD	0.94	1.00	1.39
CV	0.92	0.97	—
Max	3	4	+3
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	16.67%	2.78%	2.78%	—	—	33.33%
1	19.44%	8.33%	11.11%	—	—	—	38.89%
2	—	8.33%	5.56%	5.56%	—	—	19.44%
3	—	2.78%	2.78%	2.78%	—	—	8.33%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	30.56%	36.11%	22.22%	11.11%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.03	1.14	-0.11
SD	0.94	0.99	1.06
CV	0.92	0.87	—
Max	3	3	+2
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	2.78%	—	—	—	—	8.33%
1	13.89%	5.56%	16.67%	2.78%	—	—	38.89%
2	5.56%	11.11%	13.89%	2.78%	—	—	33.33%
3	5.56%	5.56%	2.78%	—	—	—	13.89%
4	2.78%	—	2.78%	—	—	—	5.56%
5+	—	—	—	—	—	—	—
Total	33.33%	25.00%	36.11%	5.56%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.69	1.14	+0.56
SD	1.01	0.96	1.36
CV	0.60	0.84	—
Max	4	3	+4
Min	0	0	-2

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	16.67%	—	5.56%	2.78%	—	36.11%
1	11.11%	8.33%	5.56%	2.78%	—	—	27.78%
2	8.33%	5.56%	2.78%	—	—	—	16.67%
3	2.78%	8.33%	2.78%	—	—	—	13.89%
4	—	—	5.56%	—	—	—	5.56%
5+	—	—	—	—	—	—	—
Total	33.33%	38.89%	16.67%	8.33%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.25	1.08	+0.17
SD	1.25	1.05	1.63
CV	1.00	0.97	—
Max	4	4	+3
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	16.67%	—	5.56%	5.56%	—	—	27.78%
1	11.11%	5.56%	11.11%	—	—	—	27.78%
2	11.11%	13.89%	8.33%	2.78%	—	—	36.11%
3	—	2.78%	2.78%	—	—	—	5.56%
4	—	—	—	—	—	—	—
5+	2.78%	—	—	—	—	—	2.78%
Total	41.67%	22.22%	27.78%	8.33%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.31	1.03	+0.28
SD	1.12	1.03	1.54
CV	0.86	1.00	—
Max	5	3	+5
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	2.78%	19.44%	5.56%	2.78%	2.78%	41.67%
1	—	2.78%	16.67%	16.67%	2.78%	—	38.89%
2	—	2.78%	2.78%	5.56%	2.78%	2.78%	16.67%
3	—	2.78%	—	—	—	—	2.78%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	8.33%	11.11%	38.89%	27.78%	8.33%	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.81	2.39	-1.58
SD	0.82	1.36	1.46
CV	1.02	0.57	—
Max	3	6	+2
Min	0	0	-6

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	13.89%	19.44%	5.56%	—	2.78%	2.78%	44.44%
1	8.33%	5.56%	—	5.56%	—	—	19.44%
2	5.56%	13.89%	2.78%	—	—	—	22.22%
3	8.33%	2.78%	—	—	—	—	11.11%
4	—	—	—	—	—	—	—
5+	2.78%	—	—	—	—	—	2.78%
Total	38.89%	41.67%	8.33%	5.56%	2.78%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.14	1.00	+0.14
SD	1.36	1.20	2.04
CV	1.19	1.20	—
Max	6	5	+6
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	5.56%	2.78%	—	—	—	11.11%
1	8.33%	11.11%	2.78%	5.56%	—	2.78%	30.56%
2	11.11%	13.89%	2.78%	2.78%	—	—	30.56%
3	2.78%	8.33%	2.78%	—	—	—	13.89%
4	2.78%	8.33%	2.78%	—	—	—	13.89%
5+	—	—	—	—	—	—	—
Total	27.78%	47.22%	13.89%	8.33%	—	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.89	1.14	+0.75
SD	1.21	1.10	1.73
CV	0.64	0.97	—
Max	4	5	+4
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%	11.11%	13.89%	5.56%	2.78%	—	41.67%
2	2.78%	5.56%	2.78%	5.56%	5.56%	—	22.22%
3	—	5.56%	8.33%	2.78%	—	—	16.67%
4	—	—	—	—	—	—	—
5+	—	—	2.78%	—	—	—	2.78%
Total	22.22%	25.00%	30.56%	13.89%	8.33%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.53	1.61	-0.08
SD	1.23	1.23	1.44
CV	0.81	0.76	—
Max	6	4	+4
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	13.89%	13.89%	19.44%	—	—	—	47.22%
1	2.78%	5.56%	2.78%	5.56%	2.78%	—	19.44%
2	8.33%	11.11%	2.78%	—	—	—	22.22%
3	2.78%	—	2.78%	—	—	—	5.56%
4	2.78%	—	—	—	—	—	2.78%
5+	—	2.78%	—	—	—	—	2.78%
Total	30.56%	33.33%	27.78%	5.56%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.06	1.17	-0.11
SD	1.29	1.03	1.77
CV	1.22	0.88	—
Max	5	4	+4
Min	0	0	-3

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
Kukesi	1509	63	69.76	-6.76	23.0%	51	58	64	71	75	82	89
Luftetari	1462	59	48.43	+10.57	93.0%	33	37	44	47	53	60	67
Skenderbeu	1437	72	73.30	-1.30	52.0%	56	60	68	72	78	85	92
Partizani	1396	53	55.30	-2.30	42.0%	41	43	50	55	61	67	74
Laci	1381	56	49.43	+6.57	84.0%	26	39	45	49	54	60	71
Teuta	1370	46	42.83	+3.17	69.0%	22	30	38	42	48	55	62
Vllaznia	1368	44	40.65	+3.35	70.0%	26	30	35	41	45	51	61
Flamurtari	1320	46	53.49	-7.49	21.0%	34	42	47	52	59	65	81
Kamza	1298	46	40.45	+5.55	79.0%	25	28	36	39	45	53	59
Lushnja	1044	11	23.17	-12.17	2.0%	11	14	19	23	27	33	42

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 27% * Slight Edge: 27% to 33% * Clear Edge: 33% to 40% * Strong Edge: 40% 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

+10.00%

No Edge

42.78%24.44%32.78%

Elo Value

Home Edge: 34.86 Elo pts.

248 Elo

0.004 goals per Elo point

0800

Scoring Tilt

Expected

+0.24 goals

Neutral

-2+0.14+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 0.04 * Tight Race: 0.04 to 0.12 * Comfortable: 0.12 to 0.22 * Runaway: 0.22 and up.

Title-Race Openness

2.1

Top-Heavy

123410

Champion Preseason Odds

58%

Skenderbeu, 1st of 10

LongshotFavorite

Title Margin

Expected

0.25/gm

Runaway

00.230.5/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 5.86 * Some Luck: 5.86 to 8.78 * Lucky: 8.78 to 11.71 * Wild Swing: 11.71 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 0.86 * Close: 0.86 to 1.29 * Off: 1.29 to 1.72 * Way Off: 1.72 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

6.81 points

Some Luck

07.3218

Average Finish Error

Expected

1.20

01.082.5

Biggest Overachiever

Expected 95.00%

93.00%

Luftetari

50100

Biggest Underachiever

Expected 5.00%

2.00%

Lushnja

050

Season Outliers

Expected

1 of 10

Minimal Outliers

01.010

Parity

How these are measured

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

Gini Index: How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.12 * Even: 0.12 to 0.17 * Top-Heavy: 0.17 to 0.21 * Lopsided: 0.21 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 1.35 * Moderate Separation: 1.35 to 1.8 * Strong Separation: 1.8 to 2.15 * Wide Separation: 2.15 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 63.5% * Slight Edge: 63.5% to 72.5% * Clear Edge: 72.5% to 77.5% * Wide Edge: 77.5% 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 86.5% * Clear Edge: 86.5% to 93% * Strong Edge: 93% to 97.5% * Dominant: 97.5% 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 59.5% * Some Drama: 59.5% to 66.5% * Frequent: 66.5% to 72.5% * Very Frequent: 72.5% 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 10.5% * Occasional: 10.5% to 14% * Frequent: 14% to 17.5% * Very Frequent: 17.5% and up.

Gini Index

0.16

Even

00.120.210.5

Noll-Scully

Elo SD: 127.26

2.05

Strong Separation

0.91.351.82.153

Interquartile Edge

63%

Even

50%63.5%72.5%100%

Best vs. Worst

Baseline

94%

Strong Edge

50%92%100%

Close Games

Expected

66%

Some Drama

0%63%100%

Blowouts

Expected

11%

Occasional

0%13%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 0.48 * Slight Separation: 0.48 to 0.56 * Notable Separation: 0.56 to 0.62 * Lopsided: 0.62 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 0.41 * Some Carryover: 0.41 to 0.59 * Strong Carryover: 0.59 to 0.73 * Near-Lock: 0.73 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 14.5% * Upset-Prone: 14.5% to 18.5% * Very Upset-Prone: 18.5% 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 10.5% * As Expected: 10.5% to 12.5% * Shaky Favorites: 12.5% to 16% * Very Shaky: 16% and up.

Brier Score

Expected

0.59

Predictable

00.592

Matchup Imbalance

0.41

Very Even

00.5

Strangeness

Expected

1.01

As Expected

01.002

Repeatability

0.68

Strong Carryover

00.410.590.731

Upset Rate

Expected

24%

Very Upset-Prone

0%22%50%

Clear Favorite Upset Rate

Expected

23%

Very Shaky

0%19%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 0.24 * Well Above Noise: 0.24 and up.

Probability calibration

0.94

Excellent

0.010.050.10.51

Calibration slope

Ideal

0.83

Overconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.065

Well Within Noise

00.1220.3

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
Skenderbeu	58.00%	35.00%	6.00%	1.00%	—	—	—	—	—	—
Kukesi	38.00%	45.00%	12.00%	2.00%	3.00%	—	—	—	—	—
Luftetari	—	2.00%	14.00%	18.00%	10.00%	28.00%	17.00%	6.00%	5.00%	—
Laci	—	1.00%	11.00%	20.00%	23.00%	17.00%	15.00%	8.00%	5.00%	—
Partizani	2.00%	9.00%	28.00%	24.00%	15.00%	9.00%	12.00%	1.00%	—	—
Flamurtari	2.00%	8.00%	23.00%	23.00%	17.00%	10.00%	8.00%	8.00%	1.00%	—
Kamza	—	—	—	6.00%	8.00%	13.00%	12.00%	26.00%	33.00%	2.00%
Teuta	—	—	4.00%	4.00%	13.00%	13.00%	16.00%	29.00%	18.00%	3.00%
Vllaznia	—	—	2.00%	2.00%	11.00%	10.00%	20.00%	21.00%	32.00%	2.00%
Lushnja	—	—	—	—	—	—	—	1.00%	6.00%	93.00%

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	Direct relegation
Kukesi	100%	—
Partizani	100%	—
Skenderbeu	100%	—
Flamurtari	99.00%	1.00%
Laci	95.00%	5.00%
Luftetari	95.00%	5.00%
Teuta	79.00%	21.00%
Vllaznia	66.00%	34.00%
Kamza	65.00%	35.00%
Lushnja	1.00%	99.00%

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
2017-09-09	Flamurtari	W 2-0	36.5	1459	1366	53.61%	24.86%	21.53%	+0.51	+15.1	3
2017-09-09	@ Skenderbeu	L 0-2	36.5	1366	1459	21.53%	24.86%	53.61%	-0.51	-15.1	0
2017-09-09	Kamza	W 1-0	35.6	1491	1275	65.56%	22.14%	12.30%	+1.01	+4.7	3
2017-09-09	@ Kukesi	L 0-1	35.6	1275	1491	12.30%	22.14%	65.56%	-1.01	-4.7	0
2017-09-09	Luftetari	W 2-1	46.1	1336	1314	44.89%	25.71%	29.40%	+0.23	+9.8	3
2017-09-09	@ Teuta	L 1-2	46.1	1314	1336	29.40%	25.71%	44.89%	-0.23	-9.8	0
2017-09-10	Laci	L 0-2	47.0	1474	1321	60.03%	23.67%	16.30%	+0.76	-34.8	0
2017-09-10	@ Partizani	W 2-0	47.0	1321	1474	16.30%	23.67%	60.03%	-0.76	+34.8	3
2017-09-10	Vllaznia	L 0-2	37.4	1253	1298	35.54%	25.91%	38.54%	-0.04	-22.5	0
2017-09-10	@ Lushnja	W 2-0	37.4	1298	1253	38.54%	25.91%	35.54%	+0.04	+22.6	3
2017-09-16	Lushnja	W 3-1	38.0	1351	1230	56.71%	24.36%	18.93%	+0.63	+11.7	3
2017-09-16	@ Flamurtari	L 1-3	38.0	1230	1351	18.93%	24.36%	56.71%	-0.63	-11.7	0
2017-09-17	Luftetari	L 0-1	46.0	1355	1304	48.64%	25.43%	25.93%	+0.35	-15.3	3
2017-09-17	@ Laci	W 1-0	46.0	1304	1355	25.93%	25.43%	48.64%	-0.35	+15.3	3
2017-09-17	Teuta	L 0-1	43.2	1320	1346	38.41%	25.92%	35.68%	+0.04	-12.7	3
2017-09-17	@ Vllaznia	W 1-0	43.2	1346	1320	35.68%	25.92%	38.41%	-0.04	+12.7	6
2017-09-18	Kukesi	D 0-0	56.2	1440	1495	34.11%	25.89%	40.00%	-0.08	+0.4	1
2017-09-18	@ Partizani	D 0-0	56.2	1495	1440	40.00%	25.89%	34.11%	+0.08	-0.4	4
2017-09-18	Skenderbeu	D 1-1	56.6	1271	1474	17.88%	24.11%	58.01%	-0.68	+2.9	1
2017-09-18	@ Kamza	D 1-1	56.6	1474	1271	58.01%	24.11%	17.88%	+0.68	-2.9	4
2017-09-23	Kamza	D 0-0	49.0	1218	1273	34.18%	25.89%	39.93%	-0.08	+0.4	1
2017-09-23	@ Lushnja	D 0-0	49.0	1273	1218	39.93%	25.89%	34.18%	+0.08	-0.4	2
2017-09-23	Partizani	W 2-0	41.3	1471	1440	46.09%	25.63%	28.27%	+0.27	+18.9	7
2017-09-23	@ Skenderbeu	L 0-2	41.3	1440	1471	28.27%	25.63%	46.09%	-0.27	-18.9	1
2017-09-23	Vllaznia	D 0-0	49.8	1320	1308	43.59%	25.78%	30.64%	+0.19	-1.0	4
2017-09-23	@ Luftetari	D 0-0	49.8	1308	1320	30.64%	25.78%	43.59%	-0.19	+1.0	4
2017-09-24	Flamurtari	L 1-2	50.5	1358	1363	41.35%	25.86%	32.79%	+0.12	-12.7	6
2017-09-24	@ Teuta	W 2-1	50.5	1363	1358	32.79%	25.86%	41.35%	-0.12	+12.6	6
2017-09-24	Laci	W 3-0	32.8	1495	1340	60.13%	23.65%	16.22%	+0.76	+17.0	7
2017-09-24	@ Kukesi	L 0-3	32.8	1340	1495	16.22%	23.65%	60.13%	-0.76	-17.0	3
2017-09-30	Luftetari	D 0-0	50.6	1375	1319	49.34%	25.37%	25.30%	+0.37	-1.8	7
2017-09-30	@ Flamurtari	D 0-0	50.6	1319	1375	25.30%	25.37%	49.34%	-0.37	+1.8	5
2017-09-30	Vllaznia	W 2-0	36.4	1323	1309	43.90%	25.76%	30.34%	+0.20	+20.0	6
2017-09-30	@ Laci	L 0-2	36.4	1309	1323	30.34%	25.76%	43.90%	-0.20	-20.0	4
2017-10-01	Teuta	D 1-1	54.6	1273	1346	31.82%	25.83%	42.36%	-0.15	+0.7	3
2017-10-01	@ Kamza	D 1-1	54.6	1346	1273	42.36%	25.83%	31.82%	+0.15	-0.7	7
2017-10-02	Lushnja	D 0-0	50.8	1421	1219	64.48%	22.48%	13.04%	+0.96	-4.2	2
2017-10-02	@ Partizani	D 0-0	50.8	1219	1421	13.04%	22.48%	64.48%	-0.96	+4.2	2
2017-10-02	Skenderbeu	L 1-2	59.4	1512	1490	44.91%	25.71%	29.38%	+0.23	-13.5	7
2017-10-02	@ Kukesi	W 2-1	59.4	1490	1512	29.38%	25.71%	44.91%	-0.23	+13.5	10
2017-10-12	Flamurtari	D 1-1	55.0	1289	1374	30.25%	25.76%	44.00%	-0.20	+0.9	5
2017-10-12	@ Vllaznia	D 1-1	55.0	1374	1289	44.00%	25.76%	30.25%	+0.20	-0.9	8
2017-10-12	Kamza	L 1-2	51.2	1321	1274	48.13%	25.48%	26.39%	+0.33	-14.3	5
2017-10-12	@ Luftetari	W 2-1	51.2	1274	1321	26.39%	25.48%	48.13%	-0.33	+14.3	6
2017-10-12	Kukesi	L 0-2	31.1	1223	1498	12.85%	22.40%	64.76%	-0.97	-9.3	2
2017-10-12	@ Lushnja	W 2-0	31.1	1498	1223	64.76%	22.40%	12.85%	+0.97	+9.3	10
2017-10-12	Laci	W 2-1	44.8	1503	1343	60.66%	23.52%	15.82%	+0.79	+5.7	13
2017-10-12	@ Skenderbeu	L 1-2	44.8	1343	1503	15.82%	23.52%	60.66%	-0.79	-5.7	6
2017-10-12	Partizani	L 1-2	48.4	1345	1417	31.92%	25.83%	42.25%	-0.15	-10.4	7
2017-10-12	@ Teuta	W 2-1	48.4	1417	1345	42.25%	25.83%	31.92%	+0.15	+10.4	5
2017-10-15	Lushnja	W 4-1	32.0	1509	1214	71.70%	19.79%	8.52%	+1.33	+7.4	16
2017-10-15	@ Skenderbeu	L 1-4	32.0	1214	1509	8.52%	19.79%	71.70%	-1.33	-7.4	2
2017-10-16	Flamurtari	D 1-1	55.5	1337	1373	36.98%	25.92%	37.10%	+0.00	+0.0	7
2017-10-16	@ Laci	D 1-1	55.5	1373	1337	37.10%	25.92%	36.98%	+0.00	-0.0	9
2017-10-16	Luftetari	W 2-0	33.7	1427	1306	56.71%	24.36%	18.94%	+0.63	+13.5	8
2017-10-16	@ Partizani	L 0-2	33.7	1306	1427	18.94%	24.36%	56.71%	-0.63	-13.5	5
2017-10-16	Teuta	W 4-2	44.0	1508	1335	61.85%	23.23%	14.93%	+0.84	+8.4	13
2017-10-16	@ Kukesi	L 2-4	44.0	1335	1508	14.93%	23.23%	61.85%	-0.84	-8.4	7
2017-10-16	Vllaznia	W 1-0	40.6	1288	1290	41.74%	25.85%	32.42%	+0.13	+11.2	9
2017-10-16	@ Kamza	L 0-1	40.6	1290	1288	32.42%	25.85%	41.74%	-0.13	-11.2	5
2017-10-21	Kukesi	L 0-3	32.2	1293	1516	16.33%	23.68%	59.99%	-0.76	-17.1	5
2017-10-21	@ Luftetari	W 3-0	32.2	1516	1293	59.99%	23.68%	16.33%	+0.76	+17.1	16
2017-10-21	Laci	L 0-3	32.0	1206	1337	24.76%	25.31%	49.93%	-0.39	-24.7	2
2017-10-21	@ Lushnja	W 3-0	32.0	1337	1206	49.93%	25.31%	24.76%	+0.39	+24.7	10
2017-10-22	Kamza	W 1-0	38.5	1373	1299	51.37%	25.15%	23.48%	+0.44	+8.6	12
2017-10-22	@ Flamurtari	L 0-1	38.5	1299	1373	23.48%	25.15%	51.37%	-0.44	-8.6	9
2017-10-22	Partizani	L 0-1	38.4	1278	1441	21.54%	24.86%	53.60%	-0.51	-8.0	5
2017-10-22	@ Vllaznia	W 1-0	38.4	1441	1278	53.60%	24.86%	21.54%	+0.51	+8.0	11
2017-10-23	Skenderbeu	L 1-4	39.0	1326	1517	18.98%	24.37%	56.65%	-0.63	-16.5	7
2017-10-23	@ Teuta	W 4-1	39.0	1517	1326	56.65%	24.37%	18.98%	+0.63	+16.5	19
2017-10-28	Luftetari	W 2-0	31.5	1533	1276	68.91%	20.94%	10.15%	+1.18	+7.3	22
2017-10-28	@ Skenderbeu	L 0-2	31.5	1276	1533	10.15%	20.94%	68.91%	-1.18	-7.3	5
2017-10-28	Teuta	W 2-1	51.1	1182	1310	25.08%	25.35%	49.57%	-0.38	+14.7	5
2017-10-28	@ Lushnja	L 1-2	51.1	1310	1182	49.57%	25.35%	25.08%	+0.38	-14.7	7
2017-10-29	Flamurtari	L 0-1	49.5	1449	1381	50.68%	25.23%	24.09%	+0.41	-15.9	11
2017-10-29	@ Partizani	W 1-0	49.5	1381	1449	24.09%	25.23%	50.68%	-0.41	+15.9	15
2017-10-29	Vllaznia	D 2-2	64.6	1533	1270	69.31%	20.79%	9.90%	+1.20	-3.3	17
2017-10-29	@ Kukesi	D 2-2	64.6	1270	1533	9.90%	20.79%	69.31%	-1.20	+3.3	6
2017-10-30	Kamza	L 0-1	46.6	1362	1291	51.13%	25.18%	23.69%	+0.43	-16.0	10
2017-10-30	@ Laci	W 1-0	46.6	1291	1362	23.69%	25.18%	51.13%	-0.43	+16.0	12
2017-11-04	Laci	D 1-1	54.7	1295	1346	34.77%	25.90%	39.33%	-0.06	+0.3	8
2017-11-04	@ Teuta	D 1-1	54.7	1346	1295	39.33%	25.90%	34.77%	+0.06	-0.3	11
2017-11-04	Lushnja	W 2-0	33.3	1268	1196	51.23%	25.17%	23.60%	+0.43	+16.3	8
2017-11-04	@ Luftetari	L 0-2	33.3	1196	1268	23.60%	25.17%	51.23%	-0.43	-16.3	5
2017-11-04	Partizani	W 1-0	47.2	1307	1433	25.28%	25.37%	49.35%	-0.37	+15.5	15
2017-11-04	@ Kamza	L 0-1	47.2	1433	1307	49.35%	25.37%	25.28%	+0.37	-15.5	11
2017-11-05	Kukesi	D 1-1	61.0	1397	1530	24.58%	25.29%	50.13%	-0.39	+1.8	16
2017-11-05	@ Flamurtari	D 1-1	61.0	1530	1397	50.13%	25.29%	24.58%	+0.39	-1.8	18
2017-11-05	Skenderbeu	L 0-2	33.1	1274	1540	13.38%	22.63%	63.99%	-0.93	-9.7	6
2017-11-05	@ Vllaznia	W 2-0	33.1	1540	1274	63.99%	22.63%	13.38%	+0.93	+9.7	25
2017-11-15	Teuta	L 2-3	53.9	1285	1295	40.48%	25.88%	33.63%	+0.10	-11.8	8
2017-11-15	@ Luftetari	W 3-2	53.9	1295	1285	33.63%	25.88%	40.48%	-0.10	+11.8	11
2017-11-16	Kukesi	D 2-2	64.8	1322	1528	17.67%	24.05%	58.28%	-0.69	+2.2	16
2017-11-16	@ Kamza	D 2-2	64.8	1528	1322	58.28%	24.05%	17.67%	+0.69	-2.2	19
2017-11-16	Partizani	W 1-0	45.7	1346	1417	31.94%	25.83%	42.23%	-0.15	+13.6	14
2017-11-16	@ Laci	L 0-1	45.7	1417	1346	42.23%	25.83%	31.94%	+0.15	-13.6	11
2017-11-16	Skenderbeu	D 1-1	61.8	1399	1550	22.64%	25.03%	52.33%	-0.47	+2.1	17
2017-11-16	@ Flamurtari	D 1-1	61.8	1550	1399	52.33%	25.03%	22.64%	+0.47	-2.0	26
2017-11-19	Flamurtari	L 0-1	35.2	1180	1401	16.50%	23.73%	59.77%	-0.75	-6.3	5
2017-11-19	@ Lushnja	W 1-0	35.2	1401	1180	59.77%	23.73%	16.50%	+0.75	+6.3	20
2017-11-19	Kamza	D 1-1	60.2	1548	1324	66.26%	21.91%	11.83%	+1.04	-4.0	27
2017-11-19	@ Skenderbeu	D 1-1	60.2	1324	1548	11.83%	21.91%	66.26%	-1.04	+4.0	17
2017-11-19	Vllaznia	W 1-0	38.8	1307	1264	47.66%	25.52%	26.83%	+0.31	+9.6	14
2017-11-19	@ Teuta	L 0-1	38.8	1264	1307	26.83%	25.52%	47.66%	-0.31	-9.6	6
2017-11-20	Laci	D 1-1	54.7	1273	1359	30.05%	25.75%	44.21%	-0.21	+0.9	9
2017-11-20	@ Luftetari	D 1-1	54.7	1359	1273	44.21%	25.75%	30.05%	+0.21	-0.9	15
2017-11-20	Partizani	L 1-2	59.9	1526	1404	56.82%	24.34%	18.84%	+0.63	-16.6	19
2017-11-20	@ Kukesi	W 2-1	59.9	1404	1526	18.84%	24.34%	56.82%	-0.63	+16.5	14
2017-11-22	Lushnja	W 2-1	42.8	1254	1174	52.24%	25.04%	22.71%	+0.47	+7.9	9
2017-11-22	@ Vllaznia	L 1-2	42.8	1174	1254	22.71%	25.04%	52.24%	-0.47	-7.9	5
2017-11-25	Kukesi	L 0-1	42.1	1358	1509	22.67%	25.04%	52.29%	-0.47	-8.4	15
2017-11-25	@ Laci	W 1-0	42.1	1509	1358	52.29%	25.04%	22.67%	+0.47	+8.4	22
2017-11-25	Teuta	D 0-0	51.1	1407	1317	53.35%	24.90%	21.76%	+0.50	-2.5	21
2017-11-25	@ Flamurtari	D 0-0	51.1	1317	1407	21.76%	24.90%	53.35%	-0.50	+2.5	15
2017-11-26	Luftetari	W 2-1	46.7	1262	1274	40.34%	25.89%	33.77%	+0.09	+10.9	12
2017-11-26	@ Vllaznia	L 1-2	46.7	1274	1262	33.77%	25.89%	40.34%	-0.09	-10.9	9
2017-11-26	Lushnja	W 2-1	40.3	1328	1166	60.86%	23.47%	15.66%	+0.80	+5.7	20
2017-11-26	@ Kamza	L 1-2	40.3	1166	1328	15.66%	23.47%	60.86%	-0.80	-5.7	5
2017-11-27	Skenderbeu	D 0-0	57.4	1420	1544	25.59%	25.40%	49.01%	-0.36	+1.8	15
2017-11-27	@ Partizani	D 0-0	57.4	1544	1420	49.01%	25.40%	25.59%	+0.36	-1.8	28
2017-12-02	Kamza	L 0-1	43.5	1319	1334	39.91%	25.89%	34.20%	+0.08	-13.0	15
2017-12-02	@ Teuta	W 1-0	43.5	1334	1319	34.20%	25.89%	39.91%	-0.08	+13.0	23
2017-12-02	Kukesi	W 2-1	56.8	1542	1518	45.25%	25.69%	29.06%	+0.24	+9.7	31
2017-12-02	@ Skenderbeu	L 1-2	56.8	1518	1542	29.06%	25.69%	45.25%	-0.24	-9.7	22
2017-12-03	Laci	L 1-2	46.4	1273	1350	31.27%	25.80%	42.92%	-0.17	-10.2	12
2017-12-03	@ Vllaznia	W 2-1	46.4	1350	1273	42.92%	25.80%	31.27%	+0.17	+10.2	18
2017-12-03	Partizani	L 0-3	28.1	1160	1422	13.66%	22.75%	63.59%	-0.92	-14.4	5
2017-12-03	@ Lushnja	W 3-0	28.1	1422	1160	63.59%	22.75%	13.66%	+0.92	+14.4	18
2017-12-04	Flamurtari	D 1-1	55.2	1263	1405	23.63%	25.17%	51.20%	-0.43	+1.9	10
2017-12-04	@ Luftetari	D 1-1	55.2	1405	1263	51.20%	25.17%	23.63%	+0.43	-1.9	22
2017-12-09	Lushnja	L 1-3	53.7	1508	1146	76.06%	17.67%	6.27%	+1.60	-36.6	22
2017-12-09	@ Kukesi	W 3-1	53.7	1146	1508	6.27%	17.67%	76.06%	-1.60	+36.6	8
2017-12-09	Vllaznia	W 2-0	32.3	1403	1263	58.64%	23.98%	17.38%	+0.70	+12.5	25
2017-12-09	@ Flamurtari	L 0-2	32.3	1263	1403	17.38%	23.98%	58.64%	-0.70	-12.5	12
2017-12-10	Luftetari	L 0-1	46.6	1347	1265	52.38%	25.03%	22.59%	+0.47	-16.3	23
2017-12-10	@ Kamza	W 1-0	46.6	1265	1347	22.59%	25.03%	52.38%	-0.47	+16.3	13
2017-12-10	Skenderbeu	W 1-0	53.5	1360	1552	18.86%	24.34%	56.79%	-0.63	+17.5	21
2017-12-10	@ Laci	L 0-1	53.5	1552	1360	56.79%	24.34%	18.86%	+0.63	-17.5	31
2017-12-10	Teuta	W 2-1	43.4	1437	1306	57.67%	24.17%	18.15%	+0.67	+6.5	21
2017-12-10	@ Partizani	L 1-2	43.4	1306	1437	18.15%	24.17%	57.67%	-0.67	-6.5	15
2017-12-16	Kamza	W 3-2	54.7	1251	1331	30.84%	25.79%	43.37%	-0.18	+12.5	15
2017-12-16	@ Vllaznia	L 2-3	54.7	1331	1251	43.37%	25.79%	30.84%	+0.18	-12.5	23
2017-12-16	Skenderbeu	L 1-3	35.1	1182	1534	9.05%	20.19%	70.76%	-1.28	-5.6	8
2017-12-16	@ Lushnja	W 3-1	35.1	1534	1182	70.76%	20.19%	9.05%	+1.28	+5.6	34
2017-12-17	Kukesi	L 1-2	44.8	1300	1472	20.64%	24.70%	54.66%	-0.55	-7.3	15
2017-12-17	@ Teuta	W 2-1	44.8	1472	1300	54.66%	24.70%	20.64%	+0.55	+7.3	25
2017-12-17	Laci	L 0-1	47.6	1415	1378	46.93%	25.57%	27.49%	+0.29	-14.9	25
2017-12-17	@ Flamurtari	W 1-0	47.6	1378	1415	27.49%	25.57%	46.93%	-0.29	+14.9	24
2017-12-17	Partizani	W 5-0	43.0	1281	1443	21.60%	24.87%	53.53%	-0.51	+73.4	16
2017-12-17	@ Luftetari	L 0-5	43.0	1443	1281	53.53%	24.87%	21.60%	+0.51	-73.4	21
2017-12-22	Flamurtari	L 0-3	35.4	1318	1400	30.58%	25.77%	43.65%	-0.19	-29.2	23
2017-12-22	@ Kamza	W 3-0	35.4	1400	1318	43.65%	25.77%	30.58%	+0.19	+29.2	28
2017-12-22	Luftetari	L 1-2	57.0	1479	1355	57.02%	24.30%	18.68%	+0.64	-16.6	25
2017-12-22	@ Kukesi	W 2-1	57.0	1355	1479	18.68%	24.30%	57.02%	-0.64	+16.6	19
2017-12-22	Lushnja	W 3-1	35.3	1393	1177	65.62%	22.12%	12.26%	+1.01	+7.7	27
2017-12-22	@ Laci	L 1-3	35.3	1177	1393	12.26%	22.12%	65.62%	-1.01	-7.7	8
2017-12-22	Teuta	W 3-1	38.2	1540	1292	68.15%	21.23%	10.61%	+1.14	+6.6	37
2017-12-22	@ Skenderbeu	L 1-3	38.2	1292	1540	10.61%	21.23%	68.15%	-1.14	-6.6	15
2017-12-22	Vllaznia	W 3-1	38.9	1370	1263	55.16%	24.62%	20.22%	+0.57	+12.4	24
2017-12-22	@ Partizani	L 1-3	38.9	1263	1370	20.22%	24.62%	55.16%	-0.57	-12.4	15
2018-01-26	Kukesi	L 1-3	38.6	1251	1462	17.22%	23.94%	58.84%	-0.71	-10.7	15
2018-01-26	@ Vllaznia	W 3-1	38.6	1462	1251	58.84%	23.94%	17.22%	+0.71	+10.7	28
2018-01-26	Laci	W 3-1	47.9	1289	1400	27.00%	25.53%	47.47%	-0.31	+24.5	26
2018-01-26	@ Kamza	L 1-3	47.9	1400	1289	47.47%	25.53%	27.00%	+0.31	-24.5	27
2018-01-26	Lushnja	D 2-2	60.1	1286	1169	56.26%	24.44%	19.30%	+0.61	-1.9	16
2018-01-26	@ Teuta	D 2-2	60.1	1169	1286	19.30%	24.44%	56.26%	-0.61	+2.0	9
2018-01-26	Partizani	W 1-0	41.8	1430	1382	48.23%	25.47%	26.30%	+0.33	+9.5	31
2018-01-26	@ Flamurtari	L 0-1	41.8	1382	1430	26.30%	25.47%	48.23%	-0.33	-9.5	24
2018-01-26	Skenderbeu	W 2-0	49.3	1371	1547	20.32%	24.64%	55.04%	-0.57	+32.2	22
2018-01-26	@ Luftetari	L 0-2	49.3	1547	1371	55.04%	24.64%	20.32%	+0.57	-32.2	37
2018-02-04	Flamurtari	D 1-1	60.3	1473	1439	46.46%	25.61%	27.93%	+0.28	-1.2	29
2018-02-04	@ Kukesi	D 1-1	60.3	1439	1473	27.93%	25.61%	46.46%	-0.28	+1.2	32
2018-02-04	Kamza	W 2-1	45.0	1373	1314	49.64%	25.34%	25.02%	+0.38	+8.6	27
2018-02-04	@ Partizani	L 1-2	45.0	1314	1373	25.02%	25.34%	49.64%	-0.38	-8.6	26
2018-02-04	Luftetari	D 0-0	50.1	1171	1403	15.64%	23.47%	60.89%	-0.80	+3.7	10
2018-02-04	@ Lushnja	D 0-0	50.1	1403	1171	60.89%	23.47%	15.64%	+0.80	-3.7	23
2018-02-04	Teuta	D 0-0	50.3	1376	1284	53.53%	24.87%	21.60%	+0.51	-2.5	28
2018-02-04	@ Laci	D 0-0	50.3	1284	1376	21.60%	24.87%	53.53%	-0.51	+2.5	17
2018-02-04	Vllaznia	W 4-1	33.0	1514	1240	70.19%	20.43%	9.38%	+1.25	+8.2	40
2018-02-04	@ Skenderbeu	L 1-4	33.0	1240	1514	9.38%	20.43%	70.19%	-1.25	-8.2	15
2018-02-09	Flamurtari	W 1-0	45.2	1523	1440	52.41%	25.02%	22.56%	+0.47	+8.3	43
2018-02-09	@ Skenderbeu	L 0-1	45.2	1440	1523	22.56%	25.02%	52.41%	-0.47	-8.3	32
2018-02-10	Kamza	L 0-1	50.9	1472	1305	61.25%	23.38%	15.37%	+0.81	-18.8	29
2018-02-10	@ Kukesi	W 1-0	50.9	1305	1472	15.37%	23.38%	61.25%	-0.81	+18.8	29
2018-02-10	Laci	D 0-0	51.3	1381	1373	43.00%	25.80%	31.20%	+0.17	-0.9	28
2018-02-10	@ Partizani	D 0-0	51.3	1373	1381	31.20%	25.80%	43.00%	-0.17	+0.9	29
2018-02-10	Luftetari	L 2-3	50.6	1286	1400	26.75%	25.51%	47.73%	-0.32	-8.6	17
2018-02-10	@ Teuta	W 3-2	50.6	1400	1286	47.73%	25.51%	26.75%	+0.32	+8.6	26
2018-02-10	Vllaznia	L 0-2	36.5	1175	1232	33.92%	25.89%	40.20%	-0.09	-21.8	10
2018-02-10	@ Lushnja	W 2-0	36.5	1232	1175	40.20%	25.89%	33.92%	+0.09	+21.8	18
2018-02-18	Luftetari	D 2-2	62.6	1374	1408	37.14%	25.92%	36.94%	+0.00	-0.0	30
2018-02-18	@ Laci	D 2-2	62.6	1408	1374	36.94%	25.92%	37.14%	+0.00	+0.0	27
2018-02-18	Lushnja	W 2-0	28.0	1432	1153	70.53%	20.29%	9.18%	+1.27	+6.5	35
2018-02-18	@ Flamurtari	L 0-2	28.0	1153	1432	9.18%	20.29%	70.53%	-1.27	-6.6	10
2018-02-18	Skenderbeu	L 1-2	45.7	1324	1531	17.57%	24.03%	58.40%	-0.69	-6.3	29
2018-02-18	@ Kamza	W 2-1	45.7	1531	1324	58.40%	24.03%	17.57%	+0.69	+6.3	46
2018-02-19	Kukesi	L 1-3	46.0	1380	1453	31.82%	25.83%	42.35%	-0.15	-18.0	28
2018-02-19	@ Partizani	W 3-1	46.0	1453	1380	42.35%	25.83%	31.82%	+0.15	+18.0	32
2018-02-19	Teuta	W 2-0	37.4	1253	1278	38.55%	25.91%	35.54%	+0.04	+22.5	21
2018-02-19	@ Vllaznia	L 0-2	37.4	1278	1253	35.54%	25.91%	38.55%	-0.04	-22.5	17
2018-02-24	Flamurtari	D 0-0	50.8	1255	1439	19.59%	24.50%	55.91%	-0.60	+2.9	18
2018-02-24	@ Teuta	D 0-0	50.8	1439	1255	55.91%	24.50%	19.59%	+0.60	-2.9	36
2018-02-24	Kamza	L 2-3	47.1	1146	1317	20.70%	24.72%	54.58%	-0.55	-6.9	10
2018-02-24	@ Lushnja	W 3-2	47.1	1317	1146	54.58%	24.72%	20.70%	+0.55	+6.9	32
2018-02-24	Laci	W 1-0	40.9	1471	1374	54.04%	24.80%	21.16%	+0.53	+7.9	35
2018-02-24	@ Kukesi	L 0-1	40.9	1374	1471	21.16%	24.80%	54.04%	-0.53	-7.9	30
2018-02-24	Partizani	W 1-0	40.1	1537	1362	62.02%	23.18%	14.80%	+0.85	+5.7	49
2018-02-24	@ Skenderbeu	L 0-1	40.1	1362	1537	14.80%	23.18%	62.02%	-0.85	-5.7	28
2018-02-25	Vllaznia	D 0-0	50.8	1408	1276	57.89%	24.13%	17.98%	+0.67	-3.2	28
2018-02-25	@ Luftetari	D 0-0	50.8	1276	1408	17.98%	24.13%	57.89%	-0.67	+3.2	22
2018-02-28	Lushnja	W 6-0	29.0	1357	1139	65.72%	22.09%	12.19%	+1.02	+24.5	31
2018-02-28	@ Partizani	L 0-6	29.0	1139	1357	12.19%	22.09%	65.72%	-1.02	-24.5	10
2018-02-28	Skenderbeu	D 2-2	70.1	1479	1543	32.95%	25.86%	41.19%	-0.12	+0.4	36
2018-02-28	@ Kukesi	D 2-2	70.1	1543	1479	41.19%	25.86%	32.95%	+0.12	-0.4	50
2018-02-28	Teuta	L 1-2	51.7	1324	1258	50.52%	25.25%	24.24%	+0.41	-14.9	32
2018-02-28	@ Kamza	W 2-1	51.7	1258	1324	24.24%	25.25%	50.52%	-0.41	+14.9	21
2018-02-28	Vllaznia	W 1-0	37.8	1366	1279	52.98%	24.95%	22.07%	+0.49	+8.2	33
2018-02-28	@ Laci	L 0-1	37.8	1279	1366	22.07%	24.95%	52.98%	-0.49	-8.2	22
2018-03-01	Luftetari	L 0-1	48.5	1436	1405	46.03%	25.64%	28.33%	+0.26	-14.6	36
2018-03-01	@ Flamurtari	W 1-0	48.5	1405	1436	28.33%	25.64%	46.03%	-0.26	+14.6	31
2018-03-04	Kukesi	L 1-2	37.6	1115	1479	8.56%	19.82%	71.63%	-1.33	-3.0	10
2018-03-04	@ Lushnja	W 2-1	37.6	1479	1115	71.63%	19.82%	8.56%	+1.33	+3.0	39
2018-03-04	Laci	W 4-0	34.9	1542	1375	61.37%	23.35%	15.28%	+0.82	+20.9	53
2018-03-04	@ Skenderbeu	L 0-4	34.9	1375	1542	15.28%	23.35%	61.37%	-0.82	-20.9	33
2018-03-04	Partizani	D 1-1	54.9	1273	1381	27.39%	25.57%	47.05%	-0.30	+1.3	22
2018-03-04	@ Teuta	D 1-1	54.9	1381	1273	47.05%	25.57%	27.39%	+0.30	-1.3	32
2018-03-05	Flamurtari	W 3-0	41.3	1271	1421	22.76%	25.05%	52.18%	-0.46	+44.6	25
2018-03-05	@ Vllaznia	L 0-3	41.3	1421	1271	52.18%	25.05%	22.76%	+0.46	-44.6	36
2018-03-05	Kamza	W 1-0	38.0	1420	1309	55.57%	24.56%	19.87%	+0.59	+7.5	34
2018-03-05	@ Luftetari	L 0-1	38.0	1309	1420	19.87%	24.56%	55.57%	-0.59	-7.5	32
2018-03-10	Flamurtari	W 4-2	48.6	1354	1376	38.75%	25.91%	35.34%	+0.05	+17.4	36
2018-03-10	@ Laci	L 2-4	48.6	1376	1354	35.34%	25.91%	38.75%	-0.05	-17.4	36
2018-03-10	Luftetari	W 3-0	39.6	1380	1427	35.24%	25.91%	38.85%	-0.05	+35.0	35
2018-03-10	@ Partizani	L 0-3	39.6	1427	1380	38.85%	25.91%	35.24%	+0.05	-35.0	34
2018-03-10	Lushnja	W 3-1	31.5	1563	1112	81.04%	14.83%	4.13%	+1.96	+2.3	56
2018-03-10	@ Skenderbeu	L 1-3	31.5	1112	1563	4.13%	14.83%	81.04%	-1.96	-2.3	10
2018-03-10	Teuta	W 3-2	46.5	1482	1274	64.93%	22.34%	12.73%	+0.98	+4.4	42
2018-03-10	@ Kukesi	L 2-3	46.5	1274	1482	12.73%	22.34%	64.93%	-0.98	-4.4	22
2018-03-10	Vllaznia	D 0-0	49.6	1302	1316	40.06%	25.89%	34.05%	+0.09	-0.4	33
2018-03-10	@ Kamza	D 0-0	49.6	1316	1302	34.05%	25.89%	40.06%	-0.09	+0.4	26
2018-03-14	Kamza	D 2-2	60.9	1359	1302	49.46%	25.36%	25.18%	+0.37	-1.2	37
2018-03-14	@ Flamurtari	D 2-2	60.9	1302	1359	25.18%	25.36%	49.46%	-0.37	+1.2	34
2018-03-14	Kukesi	W 2-1	55.2	1392	1486	29.07%	25.69%	45.25%	-0.24	+13.6	37
2018-03-14	@ Luftetari	L 1-2	55.2	1486	1392	45.25%	25.69%	29.07%	+0.24	-13.6	42
2018-03-14	Laci	L 1-3	35.5	1110	1371	13.70%	22.76%	63.54%	-0.91	-8.6	10
2018-03-14	@ Lushnja	W 3-1	35.5	1371	1110	63.54%	22.76%	13.70%	+0.91	+8.6	39
2018-03-14	Partizani	D 0-0	51.0	1316	1415	28.51%	25.65%	45.84%	-0.26	+1.3	27
2018-03-14	@ Vllaznia	D 0-0	51.0	1415	1316	45.84%	25.65%	28.51%	+0.26	-1.3	36
2018-03-14	Skenderbeu	D 1-1	59.2	1270	1566	11.71%	21.84%	66.45%	-1.05	+4.0	23
2018-03-14	@ Teuta	D 1-1	59.2	1566	1270	66.45%	21.84%	11.71%	+1.05	-4.0	57
2018-03-18	Kamza	W 2-0	34.5	1380	1303	51.78%	25.10%	23.12%	+0.45	+16.0	42
2018-03-18	@ Laci	L 0-2	34.5	1303	1380	23.12%	25.10%	51.78%	-0.45	-16.0	34
2018-03-18	Luftetari	W 2-1	48.9	1562	1406	60.22%	23.63%	16.16%	+0.77	+5.8	60
2018-03-18	@ Skenderbeu	L 1-2	48.9	1406	1562	16.16%	23.63%	60.22%	-0.77	-5.8	37
2018-03-18	Teuta	L 2-3	46.9	1101	1274	20.52%	24.68%	54.80%	-0.56	-6.9	10
2018-03-18	@ Lushnja	W 3-2	46.9	1274	1101	54.80%	24.68%	20.52%	+0.56	+6.9	26
2018-03-19	Flamurtari	W 1-0	40.6	1413	1358	49.22%	25.38%	25.40%	+0.36	+9.2	39
2018-03-19	@ Partizani	L 0-1	40.6	1358	1413	25.40%	25.38%	49.22%	-0.36	-9.2	37
2018-03-19	Vllaznia	W 2-0	33.7	1473	1317	60.19%	23.63%	16.17%	+0.77	+11.6	45
2018-03-19	@ Kukesi	L 0-2	33.7	1317	1473	16.17%	23.63%	60.19%	-0.77	-11.6	27
2018-03-31	Kukesi	L 1-2	47.5	1349	1485	24.24%	25.25%	50.51%	-0.41	-8.3	37
2018-03-31	@ Flamurtari	W 2-1	47.5	1485	1349	50.51%	25.25%	24.24%	+0.41	+8.3	48
2018-03-31	Laci	W 1-0	46.0	1281	1396	26.61%	25.50%	47.90%	-0.32	+15.1	29
2018-03-31	@ Teuta	L 0-1	46.0	1396	1281	47.90%	25.50%	26.61%	+0.32	-15.1	42
2018-03-31	Skenderbeu	W 2-1	59.6	1306	1568	13.68%	22.75%	63.57%	-0.91	+18.3	30
2018-03-31	@ Vllaznia	L 1-2	59.6	1568	1306	63.57%	22.75%	13.68%	+0.91	-18.3	60
2018-04-01	Lushnja	W 2-0	27.1	1400	1094	72.42%	19.46%	8.12%	+1.37	+5.7	40
2018-04-01	@ Luftetari	L 0-2	27.1	1094	1400	8.12%	19.46%	72.42%	-1.37	-5.7	10
2018-04-01	Partizani	L 0-1	39.2	1287	1423	24.24%	25.25%	50.51%	-0.41	-8.8	34
2018-04-01	@ Kamza	W 1-0	39.2	1423	1287	50.51%	25.25%	24.24%	+0.41	+8.8	42
2018-04-07	Lushnja	W 4-0	26.4	1324	1088	67.23%	21.57%	11.20%	+1.09	+15.4	33
2018-04-07	@ Vllaznia	L 0-4	26.4	1088	1324	11.20%	21.57%	67.23%	-1.09	-15.4	10
2018-04-07	Teuta	D 0-0	50.9	1406	1296	55.50%	24.57%	19.93%	+0.58	-2.8	41
2018-04-07	@ Luftetari	D 0-0	50.9	1296	1406	19.93%	24.57%	55.50%	-0.58	+2.8	30
2018-04-08	Kukesi	L 0-1	37.6	1278	1493	16.95%	23.86%	59.19%	-0.73	-6.5	34
2018-04-08	@ Kamza	W 1-0	37.6	1493	1278	59.19%	23.86%	16.95%	+0.73	+6.5	51
2018-04-08	Partizani	L 0-3	38.5	1380	1432	34.75%	25.90%	39.35%	-0.07	-32.2	42
2018-04-08	@ Laci	W 3-0	38.5	1432	1380	39.35%	25.90%	34.75%	+0.07	+32.2	45
2018-04-09	Skenderbeu	L 0-3	34.8	1340	1549	17.43%	23.99%	58.58%	-0.70	-18.1	37
2018-04-09	@ Flamurtari	W 3-0	34.8	1549	1340	58.58%	23.99%	17.43%	+0.70	+18.1	63
2018-04-14	Flamurtari	L 0-2	29.8	1073	1322	14.49%	23.07%	62.44%	-0.86	-10.5	10
2018-04-14	@ Lushnja	W 2-0	29.8	1322	1073	62.44%	23.07%	14.49%	+0.86	+10.5	40
2018-04-14	Kamza	W 3-2	46.2	1567	1271	71.72%	19.77%	8.50%	+1.33	+2.9	66
2018-04-14	@ Skenderbeu	L 2-3	46.2	1271	1567	8.50%	19.77%	71.72%	-1.33	-2.9	34
2018-04-14	Laci	W 2-1	46.1	1403	1348	49.11%	25.39%	25.50%	+0.36	+8.7	44
2018-04-14	@ Luftetari	L 1-2	46.1	1348	1403	25.50%	25.39%	49.11%	-0.36	-8.7	42
2018-04-14	Partizani	W 4-0	41.0	1499	1464	46.70%	25.59%	27.71%	+0.28	+35.3	54
2018-04-14	@ Kukesi	L 0-4	41.0	1464	1499	27.71%	25.59%	46.70%	-0.28	-35.3	45
2018-04-15	Vllaznia	W 2-0	38.7	1299	1339	36.23%	25.92%	37.85%	-0.02	+23.6	33
2018-04-15	@ Teuta	L 0-2	38.7	1339	1299	37.85%	25.92%	36.23%	+0.02	-23.6	33
2018-04-21	Luftetari	L 0-2	37.0	1316	1412	28.85%	25.67%	45.48%	-0.25	-19.2	33
2018-04-21	@ Vllaznia	W 2-0	37.0	1412	1316	45.48%	25.67%	28.85%	+0.25	+19.2	47
2018-04-21	Lushnja	W 2-1	38.9	1269	1062	64.79%	22.39%	12.83%	+0.97	+4.7	37
2018-04-21	@ Kamza	L 1-2	38.9	1062	1269	12.83%	22.39%	64.79%	-0.97	-4.6	10
2018-04-22	Kukesi	D 0-0	54.7	1340	1535	18.57%	24.27%	57.16%	-0.65	+3.1	43
2018-04-22	@ Laci	D 0-0	54.7	1535	1340	57.16%	24.27%	18.57%	+0.65	-3.1	55
2018-04-22	Teuta	W 3-1	42.6	1333	1322	43.34%	25.79%	30.87%	+0.18	+17.5	43
2018-04-22	@ Flamurtari	L 1-3	42.6	1322	1333	30.87%	25.79%	43.34%	-0.18	-17.5	33
2018-04-23	Skenderbeu	L 0-1	46.9	1428	1570	23.62%	25.17%	51.21%	-0.43	-8.7	45
2018-04-23	@ Partizani	W 1-0	46.9	1570	1428	51.21%	25.17%	23.62%	+0.43	+8.7	69
2018-04-28	Flamurtari	W 2-1	45.7	1431	1350	52.23%	25.05%	22.72%	+0.47	+7.9	50
2018-04-28	@ Luftetari	L 1-2	45.7	1350	1431	22.72%	25.05%	52.23%	-0.47	-7.9	43
2018-04-28	Partizani	D 1-1	55.6	1058	1420	8.65%	19.89%	71.47%	-1.32	+4.7	11
2018-04-28	@ Lushnja	D 1-1	55.6	1420	1058	71.47%	19.89%	8.65%	+1.32	-4.7	46
2018-04-29	Kamza	D 3-3	63.9	1305	1273	46.19%	25.63%	28.19%	+0.27	-0.8	34
2018-04-29	@ Teuta	D 3-3	63.9	1273	1305	28.19%	25.63%	46.19%	-0.27	+0.7	38
2018-04-29	Kukesi	L 0-1	58.4	1579	1532	48.18%	25.47%	26.34%	+0.33	-15.2	69
2018-04-29	@ Skenderbeu	W 1-0	58.4	1532	1579	26.34%	25.47%	48.18%	-0.33	+15.2	58
2018-04-29	Laci	W 1-0	43.0	1297	1343	35.43%	25.91%	38.65%	-0.05	+12.7	36
2018-04-29	@ Vllaznia	L 0-1	43.0	1343	1297	38.65%	25.91%	35.43%	+0.05	-12.7	43
2018-05-05	Luftetari	D 0-0	51.0	1274	1439	21.30%	24.82%	53.88%	-0.52	+2.5	39
2018-05-05	@ Kamza	D 0-0	51.0	1439	1274	53.88%	24.82%	21.30%	+0.52	-2.5	51
2018-05-05	Lushnja	W 2-1	34.4	1547	1063	82.64%	13.82%	3.53%	+2.09	+1.1	61
2018-05-05	@ Kukesi	L 1-2	34.4	1063	1547	3.53%	13.82%	82.64%	-2.09	-1.1	11
2018-05-05	Skenderbeu	W 3-2	64.7	1330	1564	15.56%	23.44%	61.00%	-0.80	+16.7	46
2018-05-05	@ Laci	L 2-3	64.7	1564	1330	61.00%	23.44%	15.56%	+0.80	-16.7	69
2018-05-05	Teuta	L 1-3	50.4	1415	1304	55.63%	24.55%	19.83%	+0.59	-28.1	46
2018-05-05	@ Partizani	W 3-1	50.4	1304	1415	19.83%	24.55%	55.63%	-0.59	+28.1	37
2018-05-05	Vllaznia	D 1-1	54.9	1342	1309	46.37%	25.62%	28.02%	+0.27	-1.2	44
2018-05-05	@ Flamurtari	D 1-1	54.9	1309	1342	28.02%	25.62%	46.37%	-0.27	+1.2	37
2018-05-09	Kamza	D 0-0	49.5	1310	1277	46.48%	25.61%	27.91%	+0.28	-1.4	38
2018-05-09	@ Vllaznia	D 0-0	49.5	1277	1310	27.91%	25.61%	46.48%	-0.28	+1.4	40
2018-05-09	Kukesi	W 3-2	63.9	1332	1548	16.91%	23.85%	59.25%	-0.73	+16.3	40
2018-05-09	@ Teuta	L 2-3	63.9	1548	1332	59.25%	23.85%	16.91%	+0.73	-16.3	61
2018-05-09	Laci	D 0-0	50.3	1341	1347	41.18%	25.86%	32.96%	+0.12	-0.6	45
2018-05-09	@ Flamurtari	D 0-0	50.3	1347	1341	32.96%	25.86%	41.18%	-0.12	+0.6	47
2018-05-09	Partizani	D 2-2	63.6	1436	1387	48.43%	25.45%	26.11%	+0.34	-1.1	52
2018-05-09	@ Luftetari	D 2-2	63.6	1387	1436	26.11%	25.45%	48.43%	-0.34	+1.1	47
2018-05-09	Skenderbeu	L 2-4	35.1	1061	1547	4.89%	15.96%	79.16%	-1.82	-2.5	11
2018-05-09	@ Lushnja	W 4-2	35.1	1547	1061	79.16%	15.96%	4.89%	+1.82	+2.5	72
2018-05-13	Flamurtari	W 1-0	43.5	1278	1340	33.17%	25.87%	40.96%	-0.11	+13.3	43
2018-05-13	@ Kamza	L 0-1	43.5	1340	1278	40.96%	25.87%	33.17%	+0.11	-13.3	45
2018-05-13	Luftetari	D 2-2	68.4	1532	1435	54.03%	24.80%	21.17%	+0.53	-1.7	62
2018-05-13	@ Kukesi	D 2-2	68.4	1435	1532	21.17%	24.80%	54.03%	-0.53	+1.7	53
2018-05-13	Lushnja	W 3-1	33.1	1347	1059	71.19%	20.01%	8.80%	+1.30	+5.4	50
2018-05-13	@ Laci	L 1-3	33.1	1059	1347	8.80%	20.01%	71.19%	-1.30	-5.4	11
2018-05-13	Teuta	L 1-3	56.6	1549	1349	64.34%	22.53%	13.14%	+0.95	-32.0	72
2018-05-13	@ Skenderbeu	W 3-1	56.6	1349	1549	13.14%	22.53%	64.34%	-0.95	+32.0	43
2018-05-13	Vllaznia	W 2-0	34.6	1388	1309	52.03%	25.07%	22.90%	+0.46	+15.9	50
2018-05-13	@ Partizani	L 0-2	34.6	1309	1388	22.90%	25.07%	52.03%	-0.46	-15.9	38
2018-05-19	Kukesi	W 2-1	57.8	1293	1530	15.35%	23.37%	61.28%	-0.81	+17.7	41
2018-05-19	@ Vllaznia	L 1-2	57.8	1530	1293	61.28%	23.37%	15.35%	+0.81	-17.7	62
2018-05-19	Laci	L 1-2	47.2	1291	1353	33.32%	25.87%	40.81%	-0.11	-10.7	43
2018-05-19	@ Kamza	W 2-1	47.2	1353	1291	40.81%	25.87%	33.32%	+0.11	+10.7	53
2018-05-19	Lushnja	W 6-2	29.6	1381	1053	73.84%	18.79%	7.37%	+1.46	+6.9	46
2018-05-19	@ Teuta	L 2-6	29.6	1053	1381	7.37%	18.79%	73.84%	-1.46	-6.9	11
2018-05-19	Partizani	L 1-2	47.6	1327	1404	31.27%	25.80%	42.92%	-0.17	-10.2	45
2018-05-19	@ Flamurtari	W 2-1	47.6	1404	1327	42.92%	25.80%	31.27%	+0.17	+10.2	53
2018-05-19	Skenderbeu	W 3-1	53.3	1437	1517	30.79%	25.78%	43.43%	-0.18	+22.8	56
2018-05-19	@ Luftetari	L 1-3	53.3	1517	1437	43.43%	25.78%	30.79%	+0.18	-22.8	72
2018-05-23	Flamurtari	D 2-2	64.6	1512	1317	63.84%	22.67%	13.48%	+0.93	-2.8	63
2018-05-23	@ Kukesi	D 2-2	64.6	1317	1512	13.48%	22.67%	63.84%	-0.93	+2.8	46
2018-05-23	Kamza	L 0-1	48.8	1414	1280	58.02%	24.11%	17.87%	+0.68	-17.9	53
2018-05-23	@ Partizani	W 1-0	48.8	1280	1414	17.87%	24.11%	58.02%	-0.68	+17.9	46
2018-05-23	Luftetari	L 1-2	36.2	1047	1460	6.84%	18.28%	74.88%	-1.52	-2.4	11
2018-05-23	@ Lushnja	W 2-1	36.2	1460	1047	74.88%	18.28%	6.84%	+1.52	+2.4	59
2018-05-23	Teuta	W 4-2	49.0	1363	1388	38.58%	25.91%	35.51%	+0.04	+17.5	56
2018-05-23	@ Laci	L 2-4	49.0	1388	1363	35.51%	25.91%	38.58%	-0.04	-17.5	46
2018-05-23	Vllaznia	L 1-5	49.6	1495	1311	62.82%	22.96%	14.21%	+0.88	-57.3	72
2018-05-23	@ Skenderbeu	W 5-1	49.6	1311	1495	14.21%	22.96%	62.82%	-0.88	+57.3	44

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	2017-12-09	6.27%	Lushnja	1146	3	@ Kukesi	1508	1
2	2018-05-13	13.14%	Teuta	1349	3	@ Skenderbeu	1549	1
3	2018-03-31	13.68%	@ Vllaznia	1306	2	Skenderbeu	1568	1
4	2018-05-23	14.21%	Vllaznia	1311	5	@ Skenderbeu	1495	1
5	2018-05-19	15.35%	@ Vllaznia	1293	2	Kukesi	1530	1
6	2018-02-10	15.37%	Kamza	1305	1	@ Kukesi	1472	0
7	2018-05-05	15.56%	@ Laci	1330	3	Skenderbeu	1564	2
8	2017-09-10	16.30%	Laci	1321	2	@ Partizani	1474	0
9	2018-05-09	16.91%	@ Teuta	1332	3	Kukesi	1548	2
10	2018-05-23	17.87%	Kamza	1280	1	@ Partizani	1414	0
11	2017-12-22	18.68%	Luftetari	1355	2	@ Kukesi	1479	1
12	2017-11-20	18.84%	Partizani	1404	2	@ Kukesi	1526	1
13	2017-12-10	18.86%	@ Laci	1360	1	Skenderbeu	1552	0
14	2018-05-05	19.83%	Teuta	1304	3	@ Partizani	1415	1
15	2018-01-26	20.32%	@ Luftetari	1371	2	Skenderbeu	1547	0
16	2017-12-17	21.60%	@ Luftetari	1281	5	Partizani	1443	0
17	2017-12-10	22.59%	Luftetari	1265	1	@ Kamza	1347	0
18	2018-03-05	22.76%	@ Vllaznia	1271	3	Flamurtari	1421	0
19	2017-10-30	23.69%	Kamza	1291	1	@ Laci	1362	0
20	2017-10-29	24.09%	Flamurtari	1381	1	@ Partizani	1449	0
21	2018-02-28	24.24%	Teuta	1258	2	@ Kamza	1324	1
22	2017-10-28	25.08%	@ Lushnja	1182	2	Teuta	1310	1
23	2017-11-04	25.28%	@ Kamza	1307	1	Partizani	1433	0
24	2017-09-17	25.93%	Luftetari	1304	1	@ Laci	1355	0
25	2018-04-29	26.34%	Kukesi	1532	1	@ Skenderbeu	1579	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	2017-12-17	73.41	@ Luftetari	5	1281	21.60%	Partizani	0	1443	53.53%	24.87%
2	2018-05-23	57.27	Vllaznia	5	1311	14.21%	@ Skenderbeu	1	1495	62.82%	22.96%
3	2018-03-05	44.58	@ Vllaznia	3	1271	22.76%	Flamurtari	0	1421	52.18%	25.05%
4	2017-12-09	36.56	Lushnja	3	1146	6.27%	@ Kukesi	1	1508	76.06%	17.67%
5	2018-04-14	35.29	@ Kukesi	4	1499	46.70%	Partizani	0	1464	27.71%	25.59%
6	2018-03-10	35.01	@ Partizani	3	1380	35.24%	Luftetari	0	1427	38.85%	25.91%
7	2017-09-10	34.78	Laci	2	1321	16.30%	@ Partizani	0	1474	60.03%	23.67%
8	2018-04-08	32.21	Partizani	3	1432	39.35%	@ Laci	0	1380	34.75%	25.90%
9	2018-01-26	32.17	@ Luftetari	2	1371	20.32%	Skenderbeu	0	1547	55.04%	24.64%
10	2018-05-13	32.03	Teuta	3	1349	13.14%	@ Skenderbeu	1	1549	64.34%	22.53%
11	2017-12-22	29.20	Flamurtari	3	1400	43.65%	@ Kamza	0	1318	30.58%	25.77%
12	2018-05-05	28.13	Teuta	3	1304	19.83%	@ Partizani	1	1415	55.63%	24.55%
13	2017-10-21	24.65	Laci	3	1337	49.93%	@ Lushnja	0	1206	24.76%	25.31%
14	2018-02-28	24.53	@ Partizani	6	1357	65.72%	Lushnja	0	1139	12.19%	22.09%
15	2018-01-26	24.51	@ Kamza	3	1289	27.00%	Laci	1	1400	47.47%	25.53%
16	2018-04-15	23.64	@ Teuta	2	1299	36.23%	Vllaznia	0	1339	37.85%	25.92%
17	2018-05-19	22.78	@ Luftetari	3	1437	30.79%	Skenderbeu	1	1517	43.43%	25.78%
18	2017-09-10	22.55	Vllaznia	2	1298	38.54%	@ Lushnja	0	1253	35.54%	25.91%
19	2018-02-19	22.55	@ Vllaznia	2	1253	38.55%	Teuta	0	1278	35.54%	25.91%
20	2018-02-10	21.78	Vllaznia	2	1232	40.20%	@ Lushnja	0	1175	33.92%	25.89%
21	2018-03-04	20.94	@ Skenderbeu	4	1542	61.37%	Laci	0	1375	15.28%	23.35%
22	2017-09-30	19.99	@ Laci	2	1323	43.90%	Vllaznia	0	1309	30.34%	25.76%
23	2018-04-21	19.21	Luftetari	2	1412	45.48%	@ Vllaznia	0	1316	28.85%	25.67%
24	2017-09-23	18.91	@ Skenderbeu	2	1471	46.09%	Partizani	0	1440	28.27%	25.63%
25	2018-02-10	18.78	Kamza	1	1305	15.37%	@ Kukesi	0	1472	61.25%	23.38%

Most & Least Exciting Games

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

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2018-02-28	70.1	@ Kukesi	2	1479	32.95%	Skenderbeu	2	1543	41.19%	25.86%
2	2018-05-13	68.4	@ Kukesi	2	1532	54.03%	Luftetari	2	1435	21.17%	24.80%
3	2017-11-16	64.8	@ Kamza	2	1322	17.67%	Kukesi	2	1528	58.28%	24.05%
4	2018-05-05	64.7	@ Laci	3	1330	15.56%	Skenderbeu	2	1564	61.00%	23.44%
5	2017-10-29	64.6	@ Kukesi	2	1533	69.31%	Vllaznia	2	1270	9.90%	20.79%
6	2018-05-23	64.6	@ Kukesi	2	1512	63.84%	Flamurtari	2	1317	13.48%	22.67%
7	2018-04-29	63.9	@ Teuta	3	1305	46.19%	Kamza	3	1273	28.19%	25.63%
8	2018-05-09	63.9	@ Teuta	3	1332	16.91%	Kukesi	2	1548	59.25%	23.85%
9	2018-05-09	63.6	@ Luftetari	2	1436	48.43%	Partizani	2	1387	26.11%	25.45%
10	2018-02-18	62.6	@ Laci	2	1374	37.14%	Luftetari	2	1408	36.94%	25.92%
11	2017-11-16	61.8	@ Flamurtari	1	1399	22.64%	Skenderbeu	1	1550	52.33%	25.03%
12	2017-11-05	61.0	@ Flamurtari	1	1397	24.58%	Kukesi	1	1530	50.13%	25.29%
13	2018-03-14	60.9	@ Flamurtari	2	1359	49.46%	Kamza	2	1302	25.18%	25.36%
14	2018-02-04	60.3	@ Kukesi	1	1473	46.46%	Flamurtari	1	1439	27.93%	25.61%
15	2017-11-19	60.2	@ Skenderbeu	1	1548	66.26%	Kamza	1	1324	11.83%	21.91%
16	2018-01-26	60.1	@ Teuta	2	1286	56.26%	Lushnja	2	1169	19.30%	24.44%
17	2017-11-20	59.9	Partizani	2	1404	18.84%	@ Kukesi	1	1526	56.82%	24.34%
18	2018-03-31	59.6	@ Vllaznia	2	1306	13.68%	Skenderbeu	1	1568	63.57%	22.75%
19	2017-10-02	59.4	Skenderbeu	2	1490	29.38%	@ Kukesi	1	1512	44.91%	25.71%
20	2018-03-14	59.2	@ Teuta	1	1270	11.71%	Skenderbeu	1	1566	66.45%	21.84%
21	2018-04-29	58.4	Kukesi	1	1532	26.34%	@ Skenderbeu	0	1579	48.18%	25.47%
22	2018-05-19	57.8	@ Vllaznia	2	1293	15.35%	Kukesi	1	1530	61.28%	23.37%
23	2017-11-27	57.4	@ Partizani	0	1420	25.59%	Skenderbeu	0	1544	49.01%	25.40%
24	2017-12-22	57.0	Luftetari	2	1355	18.68%	@ Kukesi	1	1479	57.02%	24.30%
25	2017-12-02	56.8	@ Skenderbeu	2	1542	45.25%	Kukesi	1	1518	29.06%	25.69%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2018-04-07	26.4	@ Vllaznia	4	1324	67.23%	Lushnja	0	1088	11.20%	21.57%
2	2018-04-01	27.1	@ Luftetari	2	1400	72.42%	Lushnja	0	1094	8.12%	19.46%
3	2018-02-18	28.0	@ Flamurtari	2	1432	70.53%	Lushnja	0	1153	9.18%	20.29%
4	2017-12-03	28.1	Partizani	3	1422	63.59%	@ Lushnja	0	1160	13.66%	22.75%
5	2018-02-28	29.0	@ Partizani	6	1357	65.72%	Lushnja	0	1139	12.19%	22.09%
6	2018-05-19	29.6	@ Teuta	6	1381	73.84%	Lushnja	2	1053	7.37%	18.79%
7	2018-04-14	29.8	Flamurtari	2	1322	62.44%	@ Lushnja	0	1073	14.49%	23.07%
8	2017-10-12	31.1	Kukesi	2	1498	64.76%	@ Lushnja	0	1223	12.85%	22.40%
9	2017-10-28	31.5	@ Skenderbeu	2	1533	68.91%	Luftetari	0	1276	10.15%	20.94%
10	2018-03-10	31.5	@ Skenderbeu	3	1563	81.04%	Lushnja	1	1112	4.13%	14.83%
11	2017-10-15	32.0	@ Skenderbeu	4	1509	71.70%	Lushnja	1	1214	8.52%	19.79%
12	2017-10-21	32.0	Laci	3	1337	49.93%	@ Lushnja	0	1206	24.76%	25.31%
13	2017-10-21	32.2	Kukesi	3	1516	59.99%	@ Luftetari	0	1293	16.33%	23.68%
14	2017-12-09	32.3	@ Flamurtari	2	1403	58.64%	Vllaznia	0	1263	17.38%	23.98%
15	2017-09-24	32.8	@ Kukesi	3	1495	60.13%	Laci	0	1340	16.22%	23.65%
16	2018-02-04	33.0	@ Skenderbeu	4	1514	70.19%	Vllaznia	1	1240	9.38%	20.43%
17	2017-11-05	33.1	Skenderbeu	2	1540	63.99%	@ Vllaznia	0	1274	13.38%	22.63%
18	2018-05-13	33.1	@ Laci	3	1347	71.19%	Lushnja	1	1059	8.80%	20.01%
19	2017-11-04	33.3	@ Luftetari	2	1268	51.23%	Lushnja	0	1196	23.60%	25.17%
20	2017-10-16	33.7	@ Partizani	2	1427	56.71%	Luftetari	0	1306	18.94%	24.36%
21	2018-03-19	33.7	@ Kukesi	2	1473	60.19%	Vllaznia	0	1317	16.17%	23.63%
22	2018-05-05	34.4	@ Kukesi	2	1547	82.64%	Lushnja	1	1063	3.53%	13.82%
23	2018-03-18	34.5	@ Laci	2	1380	51.78%	Kamza	0	1303	23.12%	25.10%
24	2018-05-13	34.6	@ Partizani	2	1388	52.03%	Vllaznia	0	1309	22.90%	25.07%
25	2018-04-09	34.8	Skenderbeu	3	1549	58.58%	@ Flamurtari	0	1340	17.43%	23.99%