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2017-18 Armenian Premier League Season

90 games

Final

Champion

Alashkert

50 points · 3rd Title

Relegated

No relegation

Biggest Overachiever

Banants

12.25 points above expected

44 points · 31.75 expected points

Biggest Disappointment

Gandzasar Kapan

9.54 points below expected

43 points · 52.54 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 Alashkert Champion 30 14 8 8 50 44 31 +13 57.47 -7.47
2 Banants 30 11 11 8 44 42 34 +8 31.75 +12.25
3 Gandzasar Kapan 30 11 10 9 43 43 34 +9 52.54 -9.54
4 Shirak* 30 14 8 8 38 37 31 +6 33.37 +4.63
5 Pyunik 30 9 9 12 36 37 41 -4 37.94 -1.94
6 Ararat 30 5 6 19 21 33 65 -32 20.94 +0.06

* Point deductions: Shirak (-12 pts)

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 Banants 44 31.75 +12.25
2 Shirak 38 33.37 +4.63
3 Ararat 21 20.94 +0.06
4 Pyunik 36 37.94 -1.94
5 Alashkert 50 57.47 -7.47

Biggest Disappointments

# Team Actual Sim vsSim
1 Gandzasar Kapan 43 52.54 -9.54
2 Alashkert 50 57.47 -7.47
3 Pyunik 36 37.94 -1.94
4 Ararat 21 20.94 +0.06
5 Shirak 38 33.37 +4.63

Top Streaks

Ranked by model unlikelihood — the product of pregame W/D/L probabilities over the games in each team's streak. A short streak by a poor team can outrank a longer one by a strong team since the poor team's per-game probabilities were lower going in. Unbeaten counts consecutive wins or ties; Winless counts consecutive losses or ties.

Most Unlikely Winning Streaks

# Team Games Dates Probability
1 Banants 3 Sep 9 – Sep 27 1 in 120
2 Shirak 5 Aug 4 – Sep 10 1 in 117
3 Gandzasar Kapan 3 Oct 14 – Oct 29 1 in 12
4 Ararat 1 Aug 6 – Aug 6 1 in 11
5 Pyunik 3 Nov 29 – Feb 28 1 in 9

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Gandzasar Kapan 3 Aug 6 – Aug 19 1 in 143
2 Pyunik 5 Aug 25 – Oct 15 1 in 86
3 Alashkert 3 Mar 17 – Apr 4 1 in 60
4 Banants 3 Apr 28 – May 5 1 in 39
5 Ararat 4 Aug 26 – Sep 27 1 in 17

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Shirak 12 Mar 10 – May 12 1 in 137
2 Gandzasar Kapan 12 Aug 27 – Dec 1 1 in 37
3 Banants 6 Oct 20 – Dec 3 1 in 36
4 Pyunik 4 Oct 21 – Nov 19 1 in 9
5 Ararat 2 Oct 13 – Oct 20 1 in 4

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Shirak 10 Sep 16 – Dec 2 1 in 275
2 Gandzasar Kapan 5 Aug 6 – Sep 8 1 in 32
3 Pyunik 9 Aug 20 – Nov 4 1 in 26
4 Alashkert 4 Mar 11 – Apr 4 1 in 17
5 Ararat 11 Aug 12 – Nov 19 1 in 10

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 Form Elo Δ (5) Points (5) Expected (5) Actual − Exp
Alashkert 1322 50 +11 9 9.5 -0.5
Shirak 1227 50 -20 6 7.8 -1.8
Banants 1179 44 -13 5 6.0 -1.0
Gandzasar Kapan 1265 43 +7 8 8.1 -0.1
Pyunik 1194 36 +16 7 6.3 +0.7
Ararat 1005 21 -2 4 3.2 +0.8

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 ALA ARA BAN GK PYU SHI
Alashkert —
6-0-0
13.91
1-4-1
12.55
2-1-3
9.13
3-2-1
11.59
2-1-3
10.67
Ararat
0-0-6
2.90
—
1-1-4
5.94
2-0-4
3.39
1-3-2
4.97
1-2-3
4.25
Banants
1-4-1
4.01
4-1-1
10.39
—
1-4-1
4.74
2-2-2
6.60
3-0-3
5.64
Gandzasar Kapan
3-1-2
7.10
4-0-2
13.30
1-4-1
11.66
—
3-1-2
10.82
0-4-2
9.75
Pyunik
1-2-3
4.80
2-3-1
11.41
2-2-2
9.63
2-1-3
5.49
—
2-1-3
6.99
Shirak
3-1-2
5.63
3-2-1
12.25
3-0-3
10.68
2-4-0
6.50
3-1-2
9.24
—

Points vs. Goals Scored, Allowed, and Differential

Points plotted against goals scored, allowed, and differential. Use the buttons to switch views; hover a team for exact values. The table gives each fit's R² and slope (the change in points per 10 goals).

Fit Metrics

R² Slope
Scored 0.89 +21.7
Allowed 0.84 -7.0
Differential 0.93 +5.8

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.

↓ Scored | Allowed →012345+Total
08.89%9.44%7.22%3.89%1.11%—30.56%
19.44%8.89%6.11%3.33%0.56%1.11%29.44%
27.22%6.11%8.89%2.22%——24.44%
33.89%3.33%2.22%1.11%0.56%—11.11%
41.11%0.56%—0.56%1.11%—3.33%
5+—1.11%————1.11%
Total30.56%29.44%24.44%11.11%3.33%1.11%100%

Summary Statistics

Scored Allowed Difference
Mean 1.31 1.31 +0.00
SD 1.20 1.20 1.68
CV 0.91 0.91 —
Max 6 6 +5
Min 0 0 -5

Games Played: 90

↓ Scored | Allowed →012345+Total
010.00%13.33%—6.67%——30.00%
113.33%3.33%3.33%3.33%——23.33%
210.00%3.33%13.33%———26.67%
33.33%3.33%6.67%———13.33%
43.33%—————3.33%
5+—3.33%————3.33%
Total40.00%26.67%23.33%10.00%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.47 1.03 +0.43
SD 1.33 1.03 1.72
CV 0.91 1.00 —
Max 5 3 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%3.33%16.67%6.67%3.33%—36.67%
16.67%3.33%10.00%6.67%3.33%3.33%33.33%
2—3.33%3.33%10.00%——16.67%
3—6.67%—3.33%——10.00%
4————3.33%—3.33%
5+———————
Total13.33%16.67%30.00%26.67%10.00%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.10 2.17 -1.07
SD 1.12 1.39 1.66
CV 1.02 0.64 —
Max 4 6 +2
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%6.67%13.33%———23.33%
16.67%13.33%6.67%———26.67%
210.00%6.67%20.00%———36.67%
310.00%—3.33%———13.33%
4———————
5+———————
Total30.00%26.67%43.33%———100%

Summary Statistics

Scored Allowed Difference
Mean 1.40 1.13 +0.27
SD 1.00 0.86 1.46
CV 0.72 0.76 —
Max 3 2 +3
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%10.00%3.33%—3.33%—23.33%
110.00%20.00%10.00%3.33%——43.33%
26.67%—6.67%———13.33%
36.67%6.67%————13.33%
4———3.33%——3.33%
5+—3.33%————3.33%
Total30.00%40.00%20.00%6.67%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.43 1.13 +0.30
SD 1.38 1.04 1.76
CV 0.96 0.92 —
Max 6 4 +5
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
016.67%10.00%10.00%———36.67%
13.33%6.67%6.67%6.67%—3.33%26.67%
23.33%10.00%3.33%———16.67%
33.33%3.33%3.33%3.33%3.33%—16.67%
43.33%—————3.33%
5+———————
Total30.00%30.00%23.33%10.00%3.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.23 1.37 -0.13
SD 1.22 1.30 1.66
CV 0.99 0.95 —
Max 4 5 +4
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%13.33%—10.00%——33.33%
116.67%6.67%————23.33%
213.33%13.33%6.67%3.33%——36.67%
3———————
4—3.33%——3.33%—6.67%
5+———————
Total40.00%36.67%6.67%13.33%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.23 1.03 +0.20
SD 1.14 1.16 1.49
CV 0.92 1.12 —
Max 4 4 +3
Min 0 0 -3

Games Played: 30

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
Alashkert 1322 50 57.47 -7.47 10.0% 42 48 54 58 61 67 74
Gandzasar Kapan 1265 43 52.54 -9.54 8.0% 34 42 48 52 57 65 70
Shirak 1227 38 33.37 +4.63 76.0% 18 21 29 34 38 43 49
Pyunik 1194 36 37.94 -1.94 43.0% 23 28 33 39 42 48 54
Banants 1179 44 31.75 +12.25 97.0% 19 22 27 31 35 43 54
Ararat 1005 21 20.94 +0.06 52.0% 9 11 16 21 25 30 36

Point Totals in Context

How did each team's actual results compare to their simulated points, Elo rating, average opponent Elo, and percentile within simulated outcomes? Use the buttons to switch between views. In each chart, dashed crosshairs at the league means split the plot into four quadrants: pastel green (team did well, model agreed), pastel red (team did poorly, model agreed), and pastel yellow (model and reality disagreed).

Home-Field Advantage Edge

The simulation applies the same home-field boost to every game across the league, so the per-game home win probabilities bake in the model's idea of HFA. For each team, we sum expected points at home and compare to actual home points, and the same on the road. The bar shows (home points above expected) minus (away points above expected). A tall positive bar means the team's home/road split exceeded what the model predicted — a real fortress effect. A tall negative bar means the reverse: they played worse at home or better on the road than expected.

Season Trends

How each metric evolved across the season - Elo rating, actual and projected points, title/promotion probability, and relegation probability - day by day.

Edges & Scoring

How these are measured

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

Home Edge
Share of matches won by the home team minus the share won by the away team.
No Edge: under 5% * Slight Edge: 5% to 10% * Clear Edge: 10% to 14% * Strong Edge: 14% 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
+15.56%
Strong Edge
43.33%28.89%27.78%
Elo Value
Home Edge: 54.49 Elo pts.
363 Elo
0.003 goals per Elo point
01000
Scoring Tilt
Expected
+0.27 goals
Neutral
-2+0.15+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 * Longshot: 4th 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 0.07 * Tight Race: 0.07 to 0.19 * Comfortable: 0.19 to 0.27 * Runaway: 0.27 and up.
Title-Race Openness
1.7
One-Team Race
12346
Champion Preseason Odds
69%
Alashkert, 1st of 6
LongshotFavorite
Title Margin
Expected
0.20/gm
Comfortable
00.270.5/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread
Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 4.97 * Some Luck: 4.97 to 7.46 * Lucky: 7.46 to 9.95 * Wild Swing: 9.95 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 0.39 * Close: 0.39 to 0.59 * Off: 0.59 to 0.79 * Way Off: 0.79 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 6 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 6 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 6 * As Expected: 6 to 9.6 * Several Outliers: 9.6 to 13.2 * Many Outliers: 13.2 and up.
Luck Spread
Expected
7.32 points
Some Luck
06.2216
Average Finish Error
Expected
1.00
Way Off
00.491.5
Biggest Overachiever
Expected
97.00%
Banants
5091.67%100
Biggest Underachiever
Expected
8.00%
Gandzasar Kapan
08.33%50
Season Outliers
Expected
1 of 6
Minimal Outliers
00.66

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 0.2 * Even: 0.2 to 0.25 * Top-Heavy: 0.25 to 0.28 * Lopsided: 0.28 and up.
Noll-Scully
Take a league where every match is a coin flip and nobody is better than anybody. You would still get a table, with a leader and a bottom club, purely by luck, and you can work out how far apart that table would be. This is the real table measured against it. At 1.00 the season was no more spread out than pure chance; at 2.00 it was twice as spread out, which takes genuine differences in quality. Dividing by the luck figure is what makes seasons of different lengths comparable, because a short season spreads a table by luck alone far more than a long one does. Elo SD in the corner is the same question in rating points: how far apart the teams finished on the ratings.
Coin-Flip Parity: under 2.25 * Moderate Separation: 2.25 to 2.55 * Strong Separation: 2.55 to 2.8 * Wide Separation: 2.8 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 72.5% * Slight Edge: 72.5% to 85% * Clear Edge: 85% to 89% * Wide Edge: 89% 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 93.5% * Clear Edge: 93.5% to 97.5% * Strong Edge: 97.5% to 99% * Dominant: 99% 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 47% * Some Drama: 47% to 56% * Frequent: 56% to 64.5% * Very Frequent: 64.5% 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 15% * Occasional: 15% to 20.5% * Frequent: 20.5% to 32% * Very Frequent: 32% and up.
Gini Index
0.12
Balanced
00.20.280.5
Noll-Scully
Elo SD: 108.12
1.41
Coin-Flip Parity
12.252.553.5
Interquartile Edge
60%
Even
50%72.5%85%100%
Best vs. Worst
Baseline
86%
Even
50%85%100%
Close Games
Expected
66%
Very Frequent
0%63%100%
Blowouts
Expected
13%
Rare
0%14%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 0.45 * Slight Separation: 0.45 to 0.51 * Notable Separation: 0.51 to 0.57 * Lopsided: 0.57 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 0.37 * Some Carryover: 0.37 to 0.63 * Strong Carryover: 0.63 to 0.77 * Near-Lock: 0.77 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% * As Expected: 16% to 19% * Upset-Prone: 19% to 23% * Very Upset-Prone: 23% 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 12.5% * As Expected: 12.5% to 15% * Shaky Favorites: 15% to 19% * Very Shaky: 19% and up.
Brier Score
Expected
0.65
Hard to Predict
00.582
Matchup Imbalance
0.46
Slight Separation
00.5
Strangeness
Expected
1.30
Wilder Than Modeled
01.002
Repeatability
0.66
Strong Carryover
00.370.630.771
Upset Rate
Expected
28%
Very Upset-Prone
0%20%50%
Clear Favorite Upset Rate
Expected
28%
Very Shaky
0%17%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 0.18 * Near Noise Ceiling: 0.18 to 0.27 * Above Noise: 0.27 to 0.36 * Well Above Noise: 0.36 and up.
Probability calibration
0.26
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
0.43
Overconfident
0.2538121.001.74619
Calibration error (ECE)
Noise ceiling
0.182
Near Noise Ceiling
00.1780.4

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).

Team123456
Alashkert69.00%28.00%3.00%———
Banants—1.00%16.00%28.00%44.00%11.00%
Gandzasar Kapan31.00%59.00%7.00%3.00%——
Shirak—2.00%25.00%37.00%31.00%5.00%
Pyunik—10.00%49.00%27.00%12.00%2.00%
Ararat———5.00%13.00%82.00%

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
Alashkert 100% —
Gandzasar Kapan 100% —
Pyunik 98.00% 2.00%
Shirak 95.00% 5.00%
Banants 89.00% 11.00%
Ararat 18.00% 82.00%

Overall Game Log

Summary of every completed game this season. Sort any column by clicking its header.

Date Opponent ScoreExcitement Pre Elo Opp Elo Win % Tie % Loss %Proj. Margin Elo Δ Points
2017-08-04 Alashkert W 2-151.3 1226 1363 24.31% 29.66% 46.04%-0.23 +10.8 3
2017-08-04 @ Shirak L 1-251.3 1363 1226 46.04% 29.66% 24.31%+0.23 -10.8 0
2017-08-06 Ararat L 1-351.4 1306 1048 70.80% 19.82% 9.38%+0.86 -26.0 0
2017-08-06 @ Gandzasar Kapan W 3-151.4 1048 1306 9.38% 19.82% 70.80%-0.86 +26.0 3
2017-08-06 Pyunik D 2-257.6 1050 1199 23.12% 29.38% 47.50%-0.26 +1.0 1
2017-08-06 @ Banants D 2-257.6 1199 1050 47.50% 29.38% 23.12%+0.26 -1.0 1
2017-08-11 Gandzasar Kapan W 2-148.9 1198 1280 30.85% 30.53% 38.63%-0.08 +9.5 4
2017-08-11 @ Pyunik L 1-248.9 1280 1198 38.63% 30.53% 30.85%+0.08 -9.5 0
2017-08-12 Ararat W 3-024.8 1352 1074 72.60% 18.77% 8.64%+0.92 +6.5 3
2017-08-12 @ Alashkert L 0-324.8 1074 1352 8.64% 18.77% 72.60%-0.92 -6.5 3
2017-08-13 Banants W 1-033.1 1237 1051 63.99% 23.50% 12.51%+0.66 +3.7 6
2017-08-13 @ Shirak L 0-133.1 1051 1237 12.51% 23.50% 63.99%-0.66 -3.7 1
2017-08-18 Alashkert D 2-259.8 1047 1359 11.69% 22.65% 65.65%-0.71 +2.2 2
2017-08-18 @ Banants D 2-259.8 1359 1047 65.65% 22.65% 11.69%+0.71 -2.2 4
2017-08-19 Shirak L 0-145.4 1270 1241 46.25% 29.62% 24.13%+0.23 -11.5 0
2017-08-19 @ Gandzasar Kapan W 1-045.4 1241 1270 24.13% 29.62% 46.25%-0.23 +11.5 9
2017-08-20 Pyunik D 0-047.2 1068 1207 24.06% 29.60% 46.34%-0.23 +1.3 4
2017-08-20 @ Ararat D 0-047.2 1207 1068 46.34% 29.60% 24.06%+0.23 -1.3 5
2017-08-25 Pyunik W 5-132.6 1357 1206 60.39% 25.19% 14.42%+0.57 +13.0 7
2017-08-25 @ Alashkert L 1-532.6 1206 1357 14.42% 25.19% 60.39%-0.57 -13.0 5
2017-08-26 Ararat W 2-138.7 1252 1069 63.73% 23.63% 12.65%+0.65 +3.6 12
2017-08-26 @ Shirak L 1-238.7 1069 1252 12.65% 23.63% 63.73%-0.65 -3.6 4
2017-08-27 Gandzasar Kapan D 1-152.6 1050 1259 17.79% 27.36% 54.85%-0.43 +2.0 3
2017-08-27 @ Banants D 1-152.6 1259 1050 54.85% 27.36% 17.79%+0.43 -2.0 1
2017-09-08 Alashkert D 1-152.8 1257 1370 27.03% 30.15% 42.82%-0.16 +0.8 2
2017-09-08 @ Gandzasar Kapan D 1-152.8 1370 1257 42.82% 30.15% 27.03%+0.16 -0.8 8
2017-09-09 Banants L 1-250.0 1065 1052 44.16% 29.96% 25.88%+0.19 -10.5 4
2017-09-09 @ Ararat W 2-150.0 1052 1065 25.88% 29.96% 44.16%-0.19 +10.5 6
2017-09-10 Shirak L 0-237.9 1193 1256 33.49% 30.63% 35.88%-0.02 -17.1 5
2017-09-10 @ Pyunik W 2-037.9 1256 1193 35.88% 30.63% 33.49%+0.02 +17.1 15
2017-09-15 Banants L 1-252.7 1176 1062 56.35% 26.83% 16.82%+0.46 -12.7 5
2017-09-15 @ Pyunik W 2-152.7 1062 1176 16.82% 26.83% 56.35%-0.46 +12.7 9
2017-09-16 Shirak W 1-037.1 1369 1273 54.35% 27.53% 18.12%+0.42 +5.5 11
2017-09-16 @ Alashkert L 0-137.1 1273 1369 18.12% 27.53% 54.35%-0.42 -5.5 15
2017-09-17 Gandzasar Kapan L 0-330.2 1055 1258 18.29% 27.62% 54.09%-0.41 -15.2 4
2017-09-17 @ Ararat W 3-030.2 1258 1055 54.09% 27.62% 18.29%+0.41 +15.2 5
2017-09-23 Pyunik W 3-137.5 1273 1163 55.92% 26.99% 17.09%+0.45 +8.5 8
2017-09-23 @ Gandzasar Kapan L 1-337.5 1163 1273 17.09% 26.99% 55.92%-0.45 -8.5 5
2017-09-27 Alashkert L 1-333.9 1040 1374 10.67% 21.48% 67.86%-0.77 -5.0 4
2017-09-27 @ Ararat W 3-133.9 1374 1040 67.86% 21.48% 10.67%+0.77 +5.0 14
2017-09-27 Shirak W 3-040.7 1075 1267 19.11% 28.00% 52.89%-0.38 +35.1 12
2017-09-27 @ Banants L 0-340.7 1267 1075 52.89% 28.00% 19.11%+0.38 -35.0 15
2017-09-30 Banants W 2-027.2 1379 1110 71.85% 19.21% 8.94%+0.89 +4.7 17
2017-09-30 @ Alashkert L 0-227.2 1110 1379 8.94% 19.21% 71.85%-0.89 -4.7 12
2017-10-01 Gandzasar Kapan D 1-152.0 1232 1281 35.44% 30.64% 33.92%+0.01 -0.1 16
2017-10-01 @ Shirak D 1-152.0 1281 1232 33.92% 30.64% 35.44%-0.01 +0.1 9
2017-10-13 Shirak D 2-258.1 1035 1232 18.71% 27.82% 53.47%-0.39 +1.4 5
2017-10-13 @ Ararat D 2-258.1 1232 1035 53.47% 27.82% 18.71%+0.39 -1.4 17
2017-10-14 Banants W 2-029.6 1282 1105 63.04% 23.96% 13.00%+0.64 +7.3 12
2017-10-14 @ Gandzasar Kapan L 0-229.6 1105 1282 13.00% 23.96% 63.04%-0.64 -7.3 12
2017-10-15 Alashkert L 0-135.6 1155 1384 16.34% 26.54% 57.12%-0.48 -5.0 5
2017-10-15 @ Pyunik W 1-035.6 1384 1155 57.12% 26.54% 16.34%+0.48 +5.0 20
2017-10-20 Ararat D 0-047.4 1098 1036 50.26% 28.74% 21.00%+0.32 -1.7 13
2017-10-20 @ Banants D 0-047.4 1036 1098 21.00% 28.74% 50.26%-0.32 +1.7 6
2017-10-21 Pyunik D 0-047.8 1231 1150 52.60% 28.09% 19.31%+0.37 -2.0 18
2017-10-21 @ Shirak D 0-047.8 1150 1231 19.31% 28.09% 52.60%-0.37 +2.0 6
2017-10-22 Gandzasar Kapan L 0-342.6 1389 1289 54.83% 27.37% 17.80%+0.43 -36.1 20
2017-10-22 @ Alashkert W 3-042.6 1289 1389 17.80% 27.37% 54.83%-0.43 +36.1 15
2017-10-28 Pyunik D 1-151.6 1096 1152 34.52% 30.64% 34.84%+0.00 +0.0 14
2017-10-28 @ Banants D 1-151.6 1152 1096 34.84% 30.64% 34.52%+0.00 -0.0 7
2017-10-29 Alashkert L 0-139.7 1229 1353 25.71% 29.94% 44.35%-0.19 -7.5 18
2017-10-29 @ Shirak W 1-039.7 1353 1229 44.35% 29.94% 25.71%+0.19 +7.5 23
2017-10-29 Ararat W 2-026.5 1325 1038 73.35% 18.31% 8.33%+0.94 +4.3 18
2017-10-29 @ Gandzasar Kapan L 0-226.5 1038 1325 8.33% 18.31% 73.35%-0.94 -4.3 6
2017-11-03 Ararat W 2-025.6 1361 1034 76.61% 16.32% 7.07%+1.05 +3.5 26
2017-11-03 @ Alashkert L 0-225.6 1034 1361 7.07% 16.32% 76.61%-1.05 -3.5 6
2017-11-04 Gandzasar Kapan D 0-047.9 1152 1329 20.38% 28.51% 51.11%-0.34 +1.8 8
2017-11-04 @ Pyunik D 0-047.9 1329 1152 51.11% 28.51% 20.38%+0.34 -1.8 19
2017-11-05 Banants L 0-147.5 1221 1096 57.64% 26.34% 16.02%+0.50 -13.7 18
2017-11-05 @ Shirak W 1-047.5 1096 1221 16.02% 26.34% 57.64%-0.50 +13.7 17
2017-11-17 Alashkert D 2-259.1 1110 1364 14.75% 25.45% 59.80%-0.55 +1.8 18
2017-11-17 @ Banants D 2-259.1 1364 1110 59.80% 25.45% 14.75%+0.55 -1.9 27
2017-11-18 Shirak D 2-259.0 1327 1208 57.03% 26.57% 16.40%+0.48 -1.7 20
2017-11-18 @ Gandzasar Kapan D 2-259.0 1208 1327 16.40% 26.57% 57.03%-0.48 +1.7 19
2017-11-19 Pyunik L 0-138.9 1030 1153 25.81% 29.95% 44.24%-0.19 -7.5 6
2017-11-19 @ Ararat W 1-038.9 1153 1030 44.24% 29.95% 25.81%+0.19 +7.5 11
2017-11-24 Pyunik W 1-033.1 1362 1161 65.51% 22.73% 11.76%+0.70 +3.5 30
2017-11-24 @ Alashkert L 0-133.1 1161 1362 11.76% 22.73% 65.51%-0.70 -3.5 11
2017-11-25 Ararat L 0-148.5 1209 1023 64.08% 23.45% 12.47%+0.66 -14.9 19
2017-11-25 @ Shirak W 1-048.5 1023 1209 12.47% 23.45% 64.08%-0.66 +14.9 9
2017-11-26 Gandzasar Kapan D 1-152.8 1112 1326 17.44% 27.18% 55.39%-0.44 +2.1 19
2017-11-26 @ Banants D 1-152.8 1326 1112 55.39% 27.18% 17.44%+0.44 -2.1 21
2017-11-29 Ararat W 4-029.2 1157 1037 57.06% 26.56% 16.38%+0.48 +17.8 14
2017-11-29 @ Pyunik L 0-429.2 1037 1157 16.38% 26.56% 57.06%-0.48 -17.8 9
2017-12-01 Alashkert W 1-043.0 1324 1366 36.48% 30.62% 32.91%+0.03 +9.0 24
2017-12-01 @ Gandzasar Kapan L 0-143.0 1366 1324 32.91% 30.62% 36.48%-0.03 -9.0 30
2017-12-02 Shirak W 3-250.9 1175 1194 39.68% 30.46% 29.86%+0.10 +7.5 17
2017-12-02 @ Pyunik L 2-350.9 1194 1175 29.86% 30.46% 39.68%-0.10 -7.5 19
2017-12-03 Banants L 2-350.6 1020 1114 29.32% 30.41% 40.27%-0.11 -7.4 9
2017-12-03 @ Ararat W 3-250.6 1114 1020 40.27% 30.41% 29.32%+0.11 +7.4 22
2018-02-28 Shirak L 0-148.8 1357 1187 62.35% 24.29% 13.35%+0.62 -14.6 30
2018-02-28 @ Alashkert W 1-048.8 1187 1357 13.35% 24.29% 62.35%-0.62 +14.6 22
2018-02-28 Banants W 2-033.4 1183 1121 50.26% 28.74% 21.00%+0.32 +11.9 20
2018-02-28 @ Pyunik L 0-233.4 1121 1183 21.00% 28.74% 50.26%-0.32 -11.9 22
2018-03-01 Gandzasar Kapan W 1-048.9 1012 1333 11.29% 22.21% 66.50%-0.73 +15.3 12
2018-03-01 @ Ararat L 0-148.9 1333 1012 66.50% 22.21% 11.29%+0.73 -15.3 24
2018-03-04 Alashkert L 2-343.1 1028 1342 11.56% 22.50% 65.94%-0.72 -3.0 12
2018-03-04 @ Ararat W 3-243.1 1342 1028 65.94% 22.50% 11.56%+0.72 +3.0 33
2018-03-04 Pyunik W 1-035.5 1317 1195 57.36% 26.45% 16.19%+0.49 +4.9 27
2018-03-04 @ Gandzasar Kapan L 0-135.5 1195 1317 16.19% 26.45% 57.36%-0.49 -4.9 20
2018-03-04 Shirak W 3-037.6 1109 1202 29.54% 30.43% 40.03%-0.10 +28.2 25
2018-03-04 @ Banants L 0-337.6 1202 1109 40.03% 30.43% 29.54%+0.10 -28.2 22
2018-03-10 Gandzasar Kapan W 2-151.2 1173 1322 23.08% 29.36% 47.55%-0.26 +11.1 25
2018-03-10 @ Shirak L 1-251.2 1322 1173 47.55% 29.36% 23.08%+0.26 -11.1 27
2018-03-11 Ararat D 3-362.8 1190 1024 61.89% 24.51% 13.60%+0.61 -1.7 21
2018-03-11 @ Pyunik D 3-362.8 1024 1190 13.60% 24.51% 61.89%-0.61 +1.7 13
2018-03-11 Banants D 2-260.1 1345 1137 66.15% 22.40% 11.46%+0.72 -2.3 34
2018-03-11 @ Alashkert D 2-260.1 1137 1345 11.46% 22.40% 66.15%-0.72 +2.3 26
2018-03-17 Alashkert W 3-147.8 1188 1343 22.50% 29.21% 48.30%-0.28 +19.4 24
2018-03-17 @ Pyunik L 1-347.8 1343 1188 48.30% 29.21% 22.50%+0.28 -19.4 34
2018-03-18 Shirak L 0-233.8 1026 1184 22.16% 29.11% 48.73%-0.29 -12.4 13
2018-03-18 @ Ararat W 2-033.8 1184 1026 48.73% 29.11% 22.16%+0.29 +12.4 28
2018-03-18 Banants D 2-259.4 1311 1140 62.54% 24.20% 13.26%+0.62 -2.0 28
2018-03-18 @ Gandzasar Kapan D 2-259.4 1140 1311 13.26% 24.20% 62.54%-0.62 +2.0 27
2018-03-31 Pyunik W 2-036.3 1197 1207 40.87% 30.36% 28.78%+0.12 +15.3 31
2018-03-31 @ Shirak L 0-236.3 1207 1197 28.78% 30.36% 40.87%-0.12 -15.3 24
2018-04-01 Ararat W 2-031.0 1142 1014 57.94% 26.22% 15.84%+0.50 +9.1 30
2018-04-01 @ Banants L 0-231.0 1014 1142 15.84% 26.22% 57.94%-0.50 -9.1 13
2018-04-01 Gandzasar Kapan L 0-145.6 1323 1309 44.22% 29.96% 25.83%+0.19 -11.1 34
2018-04-01 @ Alashkert W 1-045.6 1309 1323 25.83% 29.96% 44.22%-0.19 +11.1 31
2018-04-04 Alashkert W 1-044.2 1212 1312 28.56% 30.34% 41.11%-0.13 +10.5 34
2018-04-04 @ Shirak L 0-144.2 1312 1212 41.11% 30.34% 28.56%+0.13 -10.5 34
2018-04-04 Ararat W 3-131.4 1320 1005 75.71% 16.88% 7.41%+1.02 +3.2 34
2018-04-04 @ Gandzasar Kapan L 1-331.4 1005 1320 7.41% 16.88% 75.71%-1.02 -3.2 13
2018-04-04 Pyunik W 2-037.5 1151 1192 36.56% 30.62% 32.82%+0.04 +16.9 33
2018-04-04 @ Banants L 0-237.5 1192 1151 32.82% 30.62% 36.56%-0.04 -16.9 24
2018-04-07 Ararat W 2-135.5 1302 1001 74.47% 17.64% 7.89%+0.98 +2.0 37
2018-04-07 @ Alashkert L 1-235.5 1001 1302 7.89% 17.64% 74.47%-0.98 -2.0 13
2018-04-07 Gandzasar Kapan W 2-151.2 1175 1324 23.16% 29.38% 47.46%-0.26 +11.1 27
2018-04-07 @ Pyunik L 1-251.2 1324 1175 47.46% 29.38% 23.16%+0.26 -11.1 34
2018-04-08 Banants W 1-037.5 1223 1168 49.44% 28.94% 21.62%+0.30 +6.5 37
2018-04-08 @ Shirak L 0-137.5 1168 1223 21.62% 28.94% 49.44%-0.30 -6.5 33
2018-04-14 Alashkert W 3-039.6 1161 1304 23.73% 29.53% 46.75%-0.24 +31.8 36
2018-04-14 @ Banants L 0-339.6 1304 1161 46.75% 29.53% 23.73%+0.24 -31.8 37
2018-04-14 Shirak D 1-152.9 1312 1229 52.86% 28.01% 19.13%+0.38 -1.8 35
2018-04-14 @ Gandzasar Kapan D 1-152.9 1229 1312 19.13% 28.01% 52.86%-0.38 +1.8 38
2018-04-15 Pyunik D 1-152.3 999 1186 19.58% 28.20% 52.22%-0.36 +1.8 14
2018-04-15 @ Ararat D 1-152.3 1186 999 52.22% 28.20% 19.58%+0.36 -1.8 28
2018-04-21 Ararat W 4-130.9 1231 1001 68.24% 21.27% 10.49%+0.78 +7.0 41
2018-04-21 @ Shirak L 1-430.9 1001 1231 10.49% 21.27% 68.24%-0.78 -7.0 14
2018-04-22 Gandzasar Kapan W 1-044.7 1193 1311 26.46% 30.06% 43.48%-0.17 +11.0 39
2018-04-22 @ Banants L 0-144.7 1311 1193 43.48% 30.06% 26.46%+0.17 -11.0 35
2018-04-22 Pyunik D 0-048.0 1272 1185 53.35% 27.86% 18.80%+0.39 -2.1 38
2018-04-22 @ Alashkert D 0-048.0 1185 1272 18.80% 27.86% 53.35%-0.39 +2.1 29
2018-04-28 Alashkert L 0-439.8 1300 1270 46.23% 29.62% 24.15%+0.23 -41.1 35
2018-04-28 @ Gandzasar Kapan W 4-039.8 1270 1300 24.15% 29.62% 46.23%-0.23 +41.1 41
2018-04-28 Banants W 2-152.4 994 1204 17.76% 27.35% 54.89%-0.43 +12.4 17
2018-04-28 @ Ararat L 1-252.4 1204 994 54.89% 27.35% 17.76%+0.43 -12.4 39
2018-04-29 Shirak L 1-247.7 1187 1238 35.14% 30.64% 34.22%+0.01 -8.8 29
2018-04-29 @ Pyunik W 2-147.7 1238 1187 34.22% 30.64% 35.14%-0.01 +8.8 44
2018-05-01 Gandzasar Kapan L 1-631.8 1007 1259 14.89% 25.55% 59.55%-0.54 -16.5 17
2018-05-01 @ Ararat W 6-131.8 1259 1007 59.55% 25.55% 14.89%+0.54 +16.5 38
2018-05-02 Shirak D 0-048.1 1311 1247 50.59% 28.65% 20.76%+0.33 -1.8 42
2018-05-02 @ Alashkert D 0-048.1 1247 1311 20.76% 28.65% 50.59%-0.33 +1.8 45
2018-05-02 Banants W 2-145.8 1178 1191 40.44% 30.40% 29.16%+0.11 +7.7 32
2018-05-02 @ Pyunik L 1-245.8 1191 1178 29.16% 30.40% 40.44%-0.11 -7.7 39
2018-05-05 Alashkert L 2-342.9 990 1309 11.34% 22.27% 66.39%-0.73 -3.0 17
2018-05-05 @ Ararat W 3-242.9 1309 990 66.39% 22.27% 11.34%+0.73 +3.0 45
2018-05-05 Pyunik W 4-349.5 1275 1186 53.58% 27.78% 18.64%+0.40 +4.9 41
2018-05-05 @ Gandzasar Kapan L 3-449.5 1186 1275 18.64% 27.78% 53.58%-0.40 -4.9 32
2018-05-05 Shirak L 0-237.8 1184 1249 33.22% 30.63% 36.16%-0.03 -17.0 39
2018-05-05 @ Banants W 2-037.8 1249 1184 36.16% 30.63% 33.22%+0.03 +17.0 48
2018-05-08 Ararat L 1-350.4 1181 987 64.75% 23.12% 12.13%+0.68 -24.5 32
2018-05-08 @ Pyunik W 3-150.4 987 1181 12.13% 23.12% 64.75%-0.68 +24.5 20
2018-05-08 Banants D 2-259.1 1312 1167 59.83% 25.43% 14.73%+0.55 -1.9 46
2018-05-08 @ Alashkert D 2-259.1 1167 1312 14.73% 25.43% 59.83%-0.55 +1.9 40
2018-05-09 Gandzasar Kapan D 0-047.6 1266 1280 40.34% 30.41% 29.26%+0.11 -0.6 49
2018-05-09 @ Shirak D 0-047.6 1280 1266 29.26% 30.41% 40.34%-0.11 +0.6 42
2018-05-12 Alashkert D 0-047.6 1156 1310 22.55% 29.22% 48.23%-0.28 +1.5 33
2018-05-12 @ Pyunik D 0-047.6 1310 1156 48.23% 29.22% 22.55%+0.28 -1.5 47
2018-05-12 Shirak D 4-464.2 1012 1265 14.81% 25.49% 59.70%-0.55 +1.4 21
2018-05-12 @ Ararat D 4-464.2 1265 1012 59.70% 25.49% 14.81%+0.55 -1.4 50
2018-05-12 Banants D 1-153.0 1281 1169 56.15% 26.90% 16.94%+0.46 -2.1 43
2018-05-12 @ Gandzasar Kapan D 1-153.0 1169 1281 16.94% 26.90% 56.15%-0.46 +2.1 41
2018-05-20 Ararat W 2-030.1 1171 1013 61.12% 24.86% 14.02%+0.58 +8.0 44
2018-05-20 @ Banants L 0-230.1 1013 1171 14.02% 24.86% 61.12%-0.58 -8.0 21
2018-05-20 Gandzasar Kapan W 2-035.3 1309 1278 46.35% 29.60% 24.05%+0.23 +13.3 50
2018-05-20 @ Alashkert L 0-235.3 1278 1309 24.05% 29.60% 46.35%-0.23 -13.3 43
2018-05-20 Pyunik L 0-341.4 1264 1158 55.47% 27.15% 17.38%+0.44 -36.4 50
2018-05-20 @ Shirak W 3-041.4 1158 1264 17.38% 27.15% 55.47%-0.44 +36.4 36

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
Team Elo Score Team Elo Score
1 2017-08-06 9.38% Ararat 1048 3 @ Gandzasar Kapan 1306 1
2 2018-03-01 11.29% @ Ararat 1012 1 Gandzasar Kapan 1333 0
3 2018-05-08 12.13% Ararat 987 3 @ Pyunik 1181 1
4 2017-11-25 12.47% Ararat 1023 1 @ Shirak 1209 0
5 2018-02-28 13.35% Shirak 1187 1 @ Alashkert 1357 0
6 2017-11-05 16.02% Banants 1096 1 @ Shirak 1221 0
7 2017-09-15 16.82% Banants 1062 2 @ Pyunik 1176 1
8 2018-05-20 17.38% Pyunik 1158 3 @ Shirak 1264 0
9 2018-04-28 17.76% @ Ararat 994 2 Banants 1204 1
10 2017-10-22 17.80% Gandzasar Kapan 1289 3 @ Alashkert 1389 0
11 2017-09-27 19.11% @ Banants 1075 3 Shirak 1267 0
12 2018-03-17 22.50% @ Pyunik 1188 3 Alashkert 1343 1
13 2018-03-10 23.08% @ Shirak 1173 2 Gandzasar Kapan 1322 1
14 2018-04-07 23.16% @ Pyunik 1175 2 Gandzasar Kapan 1324 1
15 2018-04-14 23.73% @ Banants 1161 3 Alashkert 1304 0
16 2017-08-19 24.13% Shirak 1241 1 @ Gandzasar Kapan 1270 0
17 2018-04-28 24.15% Alashkert 1270 4 @ Gandzasar Kapan 1300 0
18 2017-08-04 24.31% @ Shirak 1226 2 Alashkert 1363 1
19 2018-04-01 25.83% Gandzasar Kapan 1309 1 @ Alashkert 1323 0
20 2017-09-09 25.88% Banants 1052 2 @ Ararat 1065 1
21 2018-04-22 26.46% @ Banants 1193 1 Gandzasar Kapan 1311 0
22 2018-04-04 28.56% @ Shirak 1212 1 Alashkert 1312 0
23 2018-03-04 29.54% @ Banants 1109 3 Shirak 1202 0
24 2017-08-11 30.85% @ Pyunik 1198 2 Gandzasar Kapan 1280 1
25 2018-04-29 34.22% Shirak 1238 2 @ Pyunik 1187 1

Biggest Elo Changes

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

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2018-04-28 41.14 Alashkert 4 1270 24.15% @ Gandzasar Kapan 0 1300 46.23% 29.62%
2 2018-05-20 36.42 Pyunik 3 1158 17.38% @ Shirak 0 1264 55.47% 27.15%
3 2017-10-22 36.08 Gandzasar Kapan 3 1289 17.80% @ Alashkert 0 1389 54.83% 27.37%
4 2017-09-27 35.06 @ Banants 3 1075 19.11% Shirak 0 1267 52.89% 28.00%
5 2018-04-14 31.76 @ Banants 3 1161 23.73% Alashkert 0 1304 46.75% 29.53%
6 2018-03-04 28.20 @ Banants 3 1109 29.54% Shirak 0 1202 40.03% 30.43%
7 2017-08-06 26.03 Ararat 3 1048 9.38% @ Gandzasar Kapan 1 1306 70.80% 19.82%
8 2018-05-08 24.47 Ararat 3 987 12.13% @ Pyunik 1 1181 64.75% 23.12%
9 2018-03-17 19.43 @ Pyunik 3 1188 22.50% Alashkert 1 1343 48.30% 29.21%
10 2017-11-29 17.82 @ Pyunik 4 1157 57.06% Ararat 0 1037 16.38% 26.56%
11 2017-09-10 17.10 Shirak 2 1256 35.88% @ Pyunik 0 1193 33.49% 30.63%
12 2018-05-05 16.99 Shirak 2 1249 36.16% @ Banants 0 1184 33.22% 30.63%
13 2018-04-04 16.86 @ Banants 2 1151 36.56% Pyunik 0 1192 32.82% 30.62%
14 2018-05-01 16.48 Gandzasar Kapan 6 1259 59.55% @ Ararat 1 1007 14.89% 25.55%
15 2018-03-31 15.31 @ Shirak 2 1197 40.87% Pyunik 0 1207 28.78% 30.36%
16 2018-03-01 15.28 @ Ararat 1 1012 11.29% Gandzasar Kapan 0 1333 66.50% 22.21%
17 2017-09-17 15.20 Gandzasar Kapan 3 1258 54.09% @ Ararat 0 1055 18.29% 27.62%
18 2017-11-25 14.88 Ararat 1 1023 12.47% @ Shirak 0 1209 64.08% 23.45%
19 2018-02-28 14.57 Shirak 1 1187 13.35% @ Alashkert 0 1357 62.35% 24.29%
20 2017-11-05 13.71 Banants 1 1096 16.02% @ Shirak 0 1221 57.64% 26.34%
21 2018-05-20 13.31 @ Alashkert 2 1309 46.35% Gandzasar Kapan 0 1278 24.05% 29.60%
22 2017-08-25 13.00 @ Alashkert 5 1357 60.39% Pyunik 1 1206 14.42% 25.19%
23 2017-09-15 12.70 Banants 2 1062 16.82% @ Pyunik 1 1176 56.35% 26.83%
24 2018-03-18 12.44 Shirak 2 1184 48.73% @ Ararat 0 1026 22.16% 29.11%
25 2018-04-28 12.43 @ Ararat 2 994 17.76% Banants 1 1204 54.89% 27.35%

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 %
Team Score Elo Win % Team Score Elo Win %
1 2018-05-12 64.2 @ Ararat 4 1012 14.81% Shirak 4 1265 59.70% 25.49%
2 2018-03-11 62.8 @ Pyunik 3 1190 61.89% Ararat 3 1024 13.60% 24.51%
3 2018-03-11 60.1 @ Alashkert 2 1345 66.15% Banants 2 1137 11.46% 22.40%
4 2017-08-18 59.8 @ Banants 2 1047 11.69% Alashkert 2 1359 65.65% 22.65%
5 2018-03-18 59.4 @ Gandzasar Kapan 2 1311 62.54% Banants 2 1140 13.26% 24.20%
6 2017-11-17 59.1 @ Banants 2 1110 14.75% Alashkert 2 1364 59.80% 25.45%
7 2018-05-08 59.1 @ Alashkert 2 1312 59.83% Banants 2 1167 14.73% 25.43%
8 2017-11-18 59.0 @ Gandzasar Kapan 2 1327 57.03% Shirak 2 1208 16.40% 26.57%
9 2017-10-13 58.1 @ Ararat 2 1035 18.71% Shirak 2 1232 53.47% 27.82%
10 2017-08-06 57.6 @ Banants 2 1050 23.12% Pyunik 2 1199 47.50% 29.38%
11 2018-05-12 53.0 @ Gandzasar Kapan 1 1281 56.15% Banants 1 1169 16.94% 26.90%
12 2018-04-14 52.9 @ Gandzasar Kapan 1 1312 52.86% Shirak 1 1229 19.13% 28.01%
13 2017-09-08 52.8 @ Gandzasar Kapan 1 1257 27.03% Alashkert 1 1370 42.82% 30.15%
14 2017-11-26 52.8 @ Banants 1 1112 17.44% Gandzasar Kapan 1 1326 55.39% 27.18%
15 2017-09-15 52.7 Banants 2 1062 16.82% @ Pyunik 1 1176 56.35% 26.83%
16 2017-08-27 52.6 @ Banants 1 1050 17.79% Gandzasar Kapan 1 1259 54.85% 27.36%
17 2018-04-28 52.4 @ Ararat 2 994 17.76% Banants 1 1204 54.89% 27.35%
18 2018-04-15 52.3 @ Ararat 1 999 19.58% Pyunik 1 1186 52.22% 28.20%
19 2017-10-01 52.0 @ Shirak 1 1232 35.44% Gandzasar Kapan 1 1281 33.92% 30.64%
20 2017-10-28 51.6 @ Banants 1 1096 34.52% Pyunik 1 1152 34.84% 30.64%
21 2017-08-06 51.4 Ararat 3 1048 9.38% @ Gandzasar Kapan 1 1306 70.80% 19.82%
22 2017-08-04 51.3 @ Shirak 2 1226 24.31% Alashkert 1 1363 46.04% 29.66%
23 2018-03-10 51.2 @ Shirak 2 1173 23.08% Gandzasar Kapan 1 1322 47.55% 29.36%
24 2018-04-07 51.2 @ Pyunik 2 1175 23.16% Gandzasar Kapan 1 1324 47.46% 29.38%
25 2017-12-02 50.9 @ Pyunik 3 1175 39.68% Shirak 2 1194 29.86% 30.46%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2017-08-12 24.8 @ Alashkert 3 1352 72.60% Ararat 0 1074 8.64% 18.77%
2 2017-11-03 25.6 @ Alashkert 2 1361 76.61% Ararat 0 1034 7.07% 16.32%
3 2017-10-29 26.5 @ Gandzasar Kapan 2 1325 73.35% Ararat 0 1038 8.33% 18.31%
4 2017-09-30 27.2 @ Alashkert 2 1379 71.85% Banants 0 1110 8.94% 19.21%
5 2017-11-29 29.2 @ Pyunik 4 1157 57.06% Ararat 0 1037 16.38% 26.56%
6 2017-10-14 29.6 @ Gandzasar Kapan 2 1282 63.04% Banants 0 1105 13.00% 23.96%
7 2018-05-20 30.1 @ Banants 2 1171 61.12% Ararat 0 1013 14.02% 24.86%
8 2017-09-17 30.2 Gandzasar Kapan 3 1258 54.09% @ Ararat 0 1055 18.29% 27.62%
9 2018-04-21 30.9 @ Shirak 4 1231 68.24% Ararat 1 1001 10.49% 21.27%
10 2018-04-01 31.0 @ Banants 2 1142 57.94% Ararat 0 1014 15.84% 26.22%
11 2018-04-04 31.4 @ Gandzasar Kapan 3 1320 75.71% Ararat 1 1005 7.41% 16.88%
12 2018-05-01 31.8 Gandzasar Kapan 6 1259 59.55% @ Ararat 1 1007 14.89% 25.55%
13 2017-08-25 32.6 @ Alashkert 5 1357 60.39% Pyunik 1 1206 14.42% 25.19%
14 2017-08-13 33.1 @ Shirak 1 1237 63.99% Banants 0 1051 12.51% 23.50%
15 2017-11-24 33.1 @ Alashkert 1 1362 65.51% Pyunik 0 1161 11.76% 22.73%
16 2018-02-28 33.4 @ Pyunik 2 1183 50.26% Banants 0 1121 21.00% 28.74%
17 2018-03-18 33.8 Shirak 2 1184 48.73% @ Ararat 0 1026 22.16% 29.11%
18 2017-09-27 33.9 Alashkert 3 1374 67.86% @ Ararat 1 1040 10.67% 21.48%
19 2018-05-20 35.3 @ Alashkert 2 1309 46.35% Gandzasar Kapan 0 1278 24.05% 29.60%
20 2018-03-04 35.5 @ Gandzasar Kapan 1 1317 57.36% Pyunik 0 1195 16.19% 26.45%
21 2018-04-07 35.5 @ Alashkert 2 1302 74.47% Ararat 1 1001 7.89% 17.64%
22 2017-10-15 35.6 Alashkert 1 1384 57.12% @ Pyunik 0 1155 16.34% 26.54%
23 2018-03-31 36.3 @ Shirak 2 1197 40.87% Pyunik 0 1207 28.78% 30.36%
24 2017-09-16 37.1 @ Alashkert 1 1369 54.35% Shirak 0 1273 18.12% 27.53%
25 2017-09-23 37.5 @ Gandzasar Kapan 3 1273 55.92% Pyunik 1 1163 17.09% 26.99%