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2014-15 Armenian Premier League Season

112 games

Final

Champion

Pyunik

61 points · 14th Title

Relegated

No relegation

Biggest Overachiever

Pyunik

9.75 points above expected

61 points · 51.25 expected points

Biggest Disappointment

Ararat

8.78 points below expected

13 points · 21.78 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 Pyunik Champion 28 19 4 5 61 58 26 +32 51.25 +9.75
2 Ulisses 28 15 5 8 50 43 32 +11 46.16 +3.84
3 Shirak 28 14 7 7 49 51 32 +19 47.11 +1.89
4 Alashkert 28 10 8 10 38 32 35 -3 34.43 +3.57
5 Mika 28 9 10 9 37 33 34 -1 36.46 +0.54
6 Banants 28 8 8 12 32 42 46 -4 35.07 -3.07
7 Gandzasar Kapan 28 7 8 13 29 31 44 -13 36.52 -7.52
8 Ararat 28 3 4 21 13 28 69 -41 21.78 -8.78

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 Pyunik 61 51.25 +9.75
2 Ulisses 50 46.16 +3.84
3 Alashkert 38 34.43 +3.57
4 Shirak 49 47.11 +1.89
5 Mika 37 36.46 +0.54

Biggest Disappointments

# Team Actual Sim vsSim
1 Ararat 13 21.78 -8.78
2 Gandzasar Kapan 29 36.52 -7.52
3 Banants 32 35.07 -3.07
4 Mika 37 36.46 +0.54
5 Shirak 49 47.11 +1.89

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 Ulisses 10 Aug 23 – Nov 1 1 in 1,539
2 Pyunik 9 Nov 2 – Apr 4 1 in 138
3 Mika 4 Oct 19 – Nov 8 1 in 115
4 Banants 2 May 17 – May 24 1 in 21
5 Alashkert 2 Mar 15 – Mar 22 1 in 11

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Gandzasar Kapan 4 Oct 5 – Nov 1 1 in 51
2 Ulisses 3 Nov 8 – Nov 29 1 in 51
3 Ararat 6 Oct 4 – Nov 23 1 in 26
4 Pyunik 2 Apr 12 – Apr 19 1 in 22
5 Alashkert 3 Aug 16 – Aug 31 1 in 15

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Ulisses 12 Aug 10 – Nov 1 1 in 62
2 Mika 9 Mar 14 – May 17 1 in 44
3 Pyunik 12 Oct 5 – Apr 4 1 in 22
4 Shirak 8 Oct 26 – Mar 8 1 in 17
5 Banants 5 Apr 25 – May 24 1 in 16

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Mika 9 Aug 2 – Oct 5 1 in 34
2 Gandzasar Kapan 9 Apr 18 – May 30 1 in 25
3 Ararat 19 Oct 4 – May 23 1 in 20
4 Ulisses 4 Mar 14 – Apr 11 1 in 19
5 Shirak 4 May 3 – May 24 1 in 17

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
Pyunik 1337 61 +14 10 10.5 -0.5
Ulisses 1088 50 -31 8 7.9 +0.1
Shirak 1258 49 -23 5 8.3 -3.3
Alashkert 1155 38 +80 10 5.2 +4.8
Mika 1161 37 -18 5 7.6 -2.6
Banants 1121 32 +21 8 6.8 +1.2
Gandzasar Kapan 966 29 -113 1 5.7 -4.7
Ararat 918 13 +60 5 2.7 +2.3

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 MIK PYU SHI ULI
Alashkert —
2-1-1
7.07
1-1-2
5.81
3-0-1
5.24
1-2-1
4.91
0-1-3
3.55
2-2-0
3.57
1-1-2
3.83
Ararat
1-1-2
3.94
—
0-1-3
3.62
1-0-3
3.42
1-0-3
3.18
0-1-3
2.16
0-0-4
3.09
0-1-3
2.55
Banants
2-1-1
5.17
3-1-0
7.39
—
1-1-2
5.88
0-3-1
5.29
1-0-3
2.91
0-2-2
4.11
1-0-3
4.19
Gandzasar Kapan
1-0-3
5.75
3-0-1
7.61
2-1-1
5.10
—
1-3-0
5.33
0-0-4
4.13
0-1-3
3.86
0-3-1
4.85
Mika
1-2-1
6.07
3-0-1
7.88
1-3-0
5.70
0-3-1
5.66
—
1-1-2
3.58
1-1-2
4.12
2-0-2
4.30
Pyunik
3-1-0
7.49
3-1-0
9.01
3-0-1
8.15
4-0-0
6.91
2-1-1
7.44
—
3-1-0
6.19
1-0-3
6.38
Shirak
0-2-2
7.45
4-0-0
8.01
2-2-0
6.90
3-1-0
7.17
2-1-1
6.87
0-1-3
4.80
—
3-0-1
5.42
Ulisses
2-1-1
7.19
3-1-0
8.54
3-0-1
6.81
1-3-0
6.15
2-0-2
6.72
3-0-1
4.62
1-0-3
5.57
—

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 0.74 +11.9
Allowed 0.86 -10.1
Differential 0.97 +6.6

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
08.04%7.59%9.38%3.57%1.79%0.45%30.80%
17.59%8.04%5.36%4.02%—1.34%26.34%
29.38%5.36%5.36%2.68%0.45%—23.21%
33.57%4.02%2.68%2.68%0.45%0.45%13.84%
41.79%—0.45%0.45%—0.45%3.12%
5+0.45%1.34%—0.45%0.45%—2.68%
Total30.80%26.34%23.21%13.84%3.12%2.68%100%

Summary Statistics

Scored Allowed Difference
Mean 1.42 1.42 +0.00
SD 1.34 1.34 1.90
CV 0.95 0.95 —
Max 7 7 +6
Min 0 0 -6

Games Played: 112

↓ Scored | Allowed →012345+Total
07.14%10.71%10.71%———28.57%
114.29%14.29%7.14%3.57%—3.57%42.86%
210.71%—3.57%———14.29%
3—3.57%7.14%3.57%——14.29%
4———————
5+———————
Total32.14%28.57%28.57%7.14%—3.57%100%

Summary Statistics

Scored Allowed Difference
Mean 1.14 1.25 -0.11
SD 1.01 1.21 1.47
CV 0.88 0.96 —
Max 3 5 +2
Min 0 0 -4

Games Played: 28

↓ Scored | Allowed →012345+Total
03.57%10.71%10.71%10.71%10.71%—46.43%
1—3.57%—10.71%—3.57%17.86%
23.57%3.57%7.14%10.71%3.57%—28.57%
33.57%—————3.57%
4—————3.57%3.57%
5+———————
Total10.71%17.86%17.86%32.14%14.29%7.14%100%

Summary Statistics

Scored Allowed Difference
Mean 1.00 2.46 -1.46
SD 1.12 1.50 1.75
CV 1.12 0.61 —
Max 4 6 +3
Min 0 0 -4

Games Played: 28

↓ Scored | Allowed →012345+Total
07.14%7.14%14.29%———28.57%
13.57%7.14%7.14%7.14%——25.00%
27.14%3.57%10.71%3.57%——25.00%
37.14%3.57%—3.57%—3.57%17.86%
4———————
5+————3.57%—3.57%
Total25.00%21.43%32.14%14.29%3.57%3.57%100%

Summary Statistics

Scored Allowed Difference
Mean 1.50 1.64 -0.14
SD 1.40 1.42 1.65
CV 0.93 0.86 —
Max 6 6 +3
Min 0 0 -3

Games Played: 28

↓ Scored | Allowed →012345+Total
014.29%14.29%10.71%7.14%——46.43%
17.14%7.14%—3.57%—3.57%21.43%
27.14%3.57%—3.57%——14.29%
3—3.57%—7.14%3.57%—14.29%
4———————
5+—3.57%————3.57%
Total28.57%32.14%10.71%21.43%3.57%3.57%100%

Summary Statistics

Scored Allowed Difference
Mean 1.11 1.57 -0.46
SD 1.34 1.62 1.93
CV 1.21 1.03 —
Max 5 7 +4
Min 0 0 -6

Games Played: 28

↓ Scored | Allowed →012345+Total
010.71%3.57%10.71%——3.57%28.57%
110.71%17.86%7.14%3.57%——39.29%
23.57%3.57%7.14%3.57%——17.86%
37.14%7.14%————14.29%
4———————
5+———————
Total32.14%32.14%25.00%7.14%—3.57%100%

Summary Statistics

Scored Allowed Difference
Mean 1.18 1.21 -0.04
SD 1.02 1.20 1.71
CV 0.87 0.99 —
Max 3 5 +3
Min 0 0 -5

Games Played: 28

↓ Scored | Allowed →012345+Total
03.57%3.57%3.57%———10.71%
114.29%3.57%10.71%———28.57%
210.71%7.14%3.57%———21.43%
37.14%7.14%7.14%3.57%——25.00%
47.14%——3.57%——10.71%
5+3.57%—————3.57%
Total46.43%21.43%25.00%7.14%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.07 0.93 +1.14
SD 1.33 1.02 1.67
CV 0.64 1.09 —
Max 5 3 +5
Min 0 0 -2

Games Played: 28

↓ Scored | Allowed →012345+Total
03.57%3.57%10.71%———17.86%
17.14%10.71%7.14%3.57%——28.57%
217.86%3.57%7.14%———28.57%
33.57%—3.57%3.57%——10.71%
47.14%—3.57%———10.71%
5+———3.57%——3.57%
Total39.29%17.86%32.14%10.71%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.82 1.14 +0.68
SD 1.47 1.08 1.76
CV 0.81 0.94 —
Max 6 3 +4
Min 0 0 -2

Games Played: 28

↓ Scored | Allowed →012345+Total
014.29%7.14%3.57%10.71%3.57%—39.29%
13.57%—3.57%———7.14%
214.29%17.86%3.57%———35.71%
3—7.14%3.57%———10.71%
4———————
5+—7.14%————7.14%
Total32.14%39.29%14.29%10.71%3.57%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.54 1.14 +0.39
SD 1.69 1.11 2.18
CV 1.10 0.97 —
Max 7 4 +6
Min 0 0 -4

Games Played: 28

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
Pyunik 1337 61 51.25 +9.75 95.0% 36 42 47 50 56 61 65
Shirak 1258 49 47.11 +1.89 58.0% 28 34 43 48 51 56 64
Mika 1161 37 36.46 +0.54 53.0% 19 24 32 37 41 46 50
Alashkert 1155 38 34.43 +3.57 77.0% 18 25 31 34 38 45 52
Banants 1121 32 35.07 -3.07 36.0% 19 25 31 35 39 44 52
Ulisses 1088 50 46.16 +3.84 73.0% 31 33 42 45 51 59 63
Gandzasar Kapan 966 29 36.52 -7.52 16.0% 25 26 31 37 41 47 58
Ararat 918 13 21.78 -8.78 5.0% 9 13 18 21 25 32 35

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
+16.96%
Strong Edge
46.43%24.11%29.46%
Elo Value
Home Edge
197 Elo
0.005 goals per Elo point
059.52500
Scoring Tilt
Expected
+0.39 goals
Neutral
-2+0.30+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 4th * Longshot: 5th 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
2.7
Top-Heavy
12348
Champion Preseason Odds
54%
Pyunik, 1st of 8
LongshotFavorite
Title Margin
Expected
0.39/gm
Runaway
00.200.6/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 5.06 * Some Luck: 5.06 to 7.59 * Lucky: 7.59 to 10.12 * Wild Swing: 10.12 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 0.87 * Close: 0.87 to 1.31 * Off: 1.31 to 1.75 * Way Off: 1.75 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 8 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 8 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 8 * As Expected: 8 to 12.8 * Several Outliers: 12.8 to 17.6 * Many Outliers: 17.6 and up.
Luck Spread
Expected
5.80 points
Some Luck
06.3316
Average Finish Error
Expected
1.00
Close
01.092.5
Biggest Overachiever
Expected 93.75%
95.00%
Pyunik
50100
Biggest Underachiever
Expected
5.00%
Ararat
06.25%50
Season Outliers
Expected
0 of 8
Minimal Outliers
00.88

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
0.20
Balanced
00.20.280.5
Noll-Scully
Elo SD: 138.62
2.11
Coin-Flip Parity
12.252.553.5
Interquartile Edge
68%
Even
50%72.5%85%100%
Best vs. Worst
Baseline
92%
Even
50%92%100%
Close Games
Expected
56%
Frequent
0%57%100%
Blowouts
Expected
15%
Occasional
0%19%100%

Predictability

How these are measured

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

Brier Score
How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance
How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.45 * 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
0.59
Predictable
00.602
Matchup Imbalance
0.38
Very Even
00.5
Strangeness
Expected
0.96
As Expected
01.002
Repeatability
-0.31
Weak Carryover
00.370.630.771
Upset Rate
Expected
23%
Very Upset-Prone
0%23%50%
Clear Favorite Upset Rate
Expected
20%
Very Shaky
0%20%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 0.16 * Near Noise Ceiling: 0.16 to 0.24 * Above Noise: 0.24 to 0.32 * Well Above Noise: 0.32 and up.
Probability calibration
0.98
Excellent
0.010.050.10.51
Calibration slope
Ideal
0.98
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.078
Well Within Noise
00.1580.4

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).

Team12345678
Pyunik54.00%25.00%14.00%6.00%1.00%———
Ulisses17.00%25.00%36.00%9.00%6.00%6.00%1.00%—
Shirak23.00%37.00%19.00%11.00%5.00%2.00%3.00%—
Alashkert3.00%1.00%5.00%14.00%24.00%25.00%24.00%4.00%
Mika—5.00%9.00%24.00%22.00%18.00%16.00%6.00%
Banants1.00%4.00%4.00%18.00%19.00%35.00%16.00%3.00%
Gandzasar Kapan2.00%3.00%13.00%18.00%21.00%12.00%30.00%1.00%
Ararat————2.00%2.00%10.00%86.00%

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
Pyunik 100% —
Shirak 100% —
Ulisses 100% —
Gandzasar Kapan 99.00% 1.00%
Banants 97.00% 3.00%
Alashkert 96.00% 4.00%
Mika 94.00% 6.00%
Ararat 14.00% 86.00%

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
2014-08-02 Mika W 2-145.1 1127 1140 43.65% 25.47% 30.88%+0.23 +13.4 3
2014-08-02 @ Gandzasar Kapan L 1-245.1 1140 1127 30.88% 25.47% 43.65%-0.23 -13.4 0
2014-08-03 Ararat W 3-250.0 1106 1123 43.21% 25.48% 31.31%+0.22 +12.9 3
2014-08-03 @ Alashkert L 2-350.0 1123 1106 31.31% 25.48% 43.21%-0.22 -12.9 0
2014-08-09 Alashkert D 0-049.1 1127 1119 46.38% 25.36% 28.26%+0.34 -1.8 1
2014-08-09 @ Mika D 0-049.1 1119 1127 28.26% 25.36% 46.38%-0.34 +1.8 4
2014-08-09 Shirak L 0-239.1 1110 1153 39.55% 25.56% 34.89%+0.08 -32.4 0
2014-08-09 @ Ararat W 2-039.1 1153 1110 34.89% 25.56% 39.55%-0.08 +32.4 3
2014-08-10 Gandzasar Kapan W 2-036.7 1121 1140 42.81% 25.50% 31.70%+0.20 +27.4 3
2014-08-10 @ Pyunik L 0-236.7 1140 1121 31.70% 25.50% 42.81%-0.20 -27.4 3
2014-08-10 Banants W 1-041.4 1097 1139 39.66% 25.56% 34.78%+0.09 +15.6 3
2014-08-10 @ Ulisses L 0-141.4 1139 1097 34.78% 25.56% 39.66%-0.09 -15.6 0
2014-08-16 Pyunik L 0-239.8 1121 1148 41.79% 25.52% 32.68%+0.17 -33.9 4
2014-08-16 @ Alashkert W 2-039.8 1148 1121 32.68% 25.52% 41.79%-0.17 +33.9 6
2014-08-16 Ulisses D 0-049.1 1113 1112 45.47% 25.40% 29.13%+0.30 -1.6 4
2014-08-16 @ Gandzasar Kapan D 0-049.1 1112 1113 29.13% 25.40% 45.47%-0.30 +1.6 4
2014-08-17 Ararat W 3-031.7 1123 1078 51.10% 25.04% 23.85%+0.54 +31.7 3
2014-08-17 @ Banants L 0-331.7 1078 1123 23.85% 25.04% 51.10%-0.54 -31.8 0
2014-08-17 Mika W 1-037.5 1186 1125 52.83% 24.89% 22.29%+0.61 +11.0 6
2014-08-17 @ Shirak L 0-137.5 1125 1186 22.29% 24.89% 52.83%-0.61 -11.0 1
2014-08-23 Ararat W 2-033.4 1114 1046 53.65% 24.80% 21.55%+0.65 +20.1 7
2014-08-23 @ Ulisses L 0-233.4 1046 1114 21.55% 24.80% 53.65%-0.65 -20.1 0
2014-08-23 Banants D 1-153.2 1114 1155 39.81% 25.56% 34.64%+0.09 -0.5 2
2014-08-23 @ Mika D 1-153.2 1155 1114 34.64% 25.56% 39.81%-0.09 +0.5 4
2014-08-24 Alashkert W 1-038.7 1111 1087 48.47% 25.24% 26.29%+0.42 +12.5 7
2014-08-24 @ Gandzasar Kapan L 0-138.7 1087 1111 26.29% 25.24% 48.47%-0.42 -12.5 4
2014-08-24 Shirak W 1-040.4 1182 1196 43.47% 25.48% 31.05%+0.23 +14.3 9
2014-08-24 @ Pyunik L 0-140.4 1196 1182 31.05% 25.48% 43.47%-0.23 -14.3 6
2014-08-27 Ulisses L 0-243.0 1196 1134 52.98% 24.87% 22.15%+0.62 -41.4 9
2014-08-27 @ Pyunik W 2-043.0 1134 1196 22.15% 24.87% 52.98%-0.62 +41.4 10
2014-08-27 Banants W 2-035.0 1182 1156 48.79% 25.22% 25.99%+0.44 +23.4 9
2014-08-27 @ Shirak L 0-235.0 1156 1182 25.99% 25.22% 48.79%-0.44 -23.5 4
2014-08-30 Mika W 2-039.5 1026 1113 33.28% 25.54% 41.19%-0.14 +33.5 3
2014-08-30 @ Ararat L 0-239.5 1113 1026 41.19% 25.54% 33.28%+0.14 -33.5 2
2014-08-31 Ulisses L 0-236.7 1075 1175 31.52% 25.49% 42.99%-0.21 -27.3 4
2014-08-31 @ Alashkert W 2-036.7 1175 1075 42.99% 25.49% 31.52%+0.21 +27.3 13
2014-09-13 Ararat W 4-029.4 1155 1059 56.57% 24.44% 18.98%+0.79 +34.1 12
2014-09-13 @ Pyunik L 0-429.4 1059 1155 18.98% 24.44% 56.57%-0.79 -34.2 3
2014-09-13 Mika W 3-136.9 1203 1080 59.27% 24.03% 16.70%+0.93 +13.9 16
2014-09-13 @ Ulisses L 1-336.9 1080 1203 16.70% 24.03% 59.27%-0.93 -13.9 2
2014-09-13 Shirak W 2-042.2 1047 1206 24.56% 25.11% 50.34%-0.50 +39.6 7
2014-09-13 @ Alashkert L 0-242.2 1206 1047 50.34% 25.11% 24.56%+0.50 -39.5 9
2014-09-14 Banants W 3-141.4 1124 1132 44.29% 25.45% 30.26%+0.26 +22.9 10
2014-09-14 @ Gandzasar Kapan L 1-341.4 1132 1124 30.26% 25.45% 44.29%-0.26 -22.9 4
2014-09-20 Alashkert W 1-038.8 1109 1087 48.28% 25.25% 26.47%+0.42 +12.6 7
2014-09-20 @ Banants L 0-138.8 1087 1109 26.47% 25.25% 48.28%-0.42 -12.6 7
2014-09-20 Ulisses L 1-247.5 1166 1217 38.50% 25.57% 35.93%+0.05 -15.9 9
2014-09-20 @ Shirak W 2-147.5 1217 1166 35.93% 25.57% 38.50%-0.05 +15.9 19
2014-09-21 Gandzasar Kapan L 1-536.5 1025 1147 28.88% 25.39% 45.73%-0.31 -40.3 3
2014-09-21 @ Ararat W 5-136.5 1147 1025 45.73% 25.39% 28.88%+0.31 +40.3 13
2014-09-21 Pyunik D 1-153.2 1066 1189 28.70% 25.38% 45.92%-0.32 +1.5 3
2014-09-21 @ Mika D 1-153.2 1189 1066 45.92% 25.38% 28.70%+0.32 -1.5 13
2014-09-27 Gandzasar Kapan D 1-153.2 1068 1187 29.15% 25.40% 45.45%-0.30 +1.5 4
2014-09-27 @ Mika D 1-153.2 1187 1068 45.45% 25.40% 29.15%+0.30 -1.4 14
2014-09-27 Pyunik W 2-143.1 1232 1187 51.02% 25.05% 23.93%+0.53 +11.0 22
2014-09-27 @ Ulisses L 1-243.1 1187 1232 23.93% 25.05% 51.02%-0.53 -10.9 13
2014-09-28 Alashkert W 2-148.2 985 1074 33.04% 25.53% 41.43%-0.15 +16.8 6
2014-09-28 @ Ararat L 1-248.2 1074 985 41.43% 25.53% 33.04%+0.15 -16.8 7
2014-09-28 Shirak D 1-153.2 1122 1150 41.61% 25.53% 32.87%+0.16 -0.8 8
2014-09-28 @ Banants D 1-153.2 1150 1122 32.87% 25.53% 41.61%-0.16 +0.8 10
2014-10-04 Ararat W 3-244.4 1151 1002 61.70% 23.57% 14.73%+1.06 +6.8 13
2014-10-04 @ Shirak L 2-344.4 1002 1151 14.73% 23.57% 61.70%-1.06 -6.8 6
2014-10-04 Ulisses L 0-235.9 1121 1243 28.77% 25.38% 45.85%-0.32 -25.4 8
2014-10-04 @ Banants W 2-035.9 1243 1121 45.85% 25.38% 28.77%+0.32 +25.4 25
2014-10-05 Mika W 2-036.4 1057 1069 43.88% 25.46% 30.66%+0.24 +26.7 10
2014-10-05 @ Alashkert L 0-236.4 1069 1057 30.66% 25.46% 43.88%-0.24 -26.7 4
2014-10-05 Pyunik L 3-457.4 1185 1176 46.58% 25.35% 28.07%+0.35 -17.1 14
2014-10-05 @ Gandzasar Kapan W 4-357.4 1176 1185 28.07% 25.35% 46.58%-0.35 +17.1 16
2014-10-18 Alashkert D 3-362.6 1194 1084 57.98% 24.24% 17.78%+0.86 -2.4 17
2014-10-18 @ Pyunik D 3-362.6 1084 1194 17.78% 24.24% 57.98%-0.86 +2.4 11
2014-10-18 Gandzasar Kapan W 7-132.6 1269 1168 57.09% 24.37% 18.54%+0.81 +40.4 28
2014-10-18 @ Ulisses L 1-732.6 1168 1269 18.54% 24.37% 57.09%-0.81 -40.4 14
2014-10-19 Shirak W 3-145.8 1042 1158 29.63% 25.42% 44.95%-0.28 +31.1 7
2014-10-19 @ Mika L 1-345.8 1158 1042 44.95% 25.42% 29.63%+0.28 -31.1 13
2014-10-19 Banants L 4-648.3 995 1096 31.51% 25.49% 43.00%-0.21 -19.3 6
2014-10-19 @ Ararat W 6-448.3 1096 995 43.00% 25.49% 31.51%+0.21 +19.3 11
2014-10-25 Mika L 0-242.2 1115 1073 50.61% 25.08% 24.31%+0.51 -39.7 11
2014-10-25 @ Banants W 2-042.2 1073 1115 24.31% 25.08% 50.61%-0.51 +39.7 10
2014-10-25 Ulisses L 2-342.9 975 1309 10.79% 22.25% 66.96%-1.39 -5.0 6
2014-10-25 @ Ararat W 3-242.9 1309 975 66.96% 22.25% 10.79%+1.39 +5.0 31
2014-10-26 Gandzasar Kapan W 1-041.3 1086 1128 39.79% 25.56% 34.66%+0.09 +15.6 14
2014-10-26 @ Alashkert L 0-141.3 1128 1086 34.66% 25.56% 39.79%-0.09 -15.6 14
2014-10-26 Pyunik D 0-049.1 1127 1191 36.50% 25.57% 37.93%-0.03 +0.1 14
2014-10-26 @ Shirak D 0-049.1 1191 1127 37.93% 25.57% 36.50%+0.03 -0.1 18
2014-11-01 Alashkert W 5-130.3 1314 1102 66.77% 22.31% 10.92%+1.38 +16.9 34
2014-11-01 @ Ulisses L 1-530.3 1102 1314 10.92% 22.31% 66.77%-1.38 -16.9 14
2014-11-01 Shirak L 0-337.8 1112 1127 43.50% 25.48% 31.02%+0.23 -50.8 14
2014-11-01 @ Gandzasar Kapan W 3-037.8 1127 1112 31.02% 25.48% 43.50%-0.23 +50.8 17
2014-11-02 Ararat W 3-136.3 1113 970 61.10% 23.69% 15.20%+1.03 +12.8 13
2014-11-02 @ Mika L 1-336.3 970 1113 15.20% 23.69% 61.10%-1.03 -12.8 6
2014-11-02 Banants W 1-035.7 1191 1075 58.60% 24.14% 17.26%+0.89 +8.8 21
2014-11-02 @ Pyunik L 0-135.7 1075 1191 17.26% 24.14% 58.60%-0.89 -8.8 11
2014-11-08 Pyunik L 0-329.2 958 1200 16.68% 24.03% 59.30%-0.93 -23.3 6
2014-11-08 @ Ararat W 3-029.2 1200 958 59.30% 24.03% 16.68%+0.93 +23.3 24
2014-11-08 Ulisses W 3-041.4 1126 1331 19.81% 24.57% 55.62%-0.74 +62.8 16
2014-11-08 @ Mika L 0-341.4 1331 1126 55.62% 24.57% 19.81%+0.74 -62.8 34
2014-11-09 Alashkert D 1-153.5 1178 1085 56.26% 24.49% 19.25%+0.77 -3.5 18
2014-11-09 @ Shirak D 1-153.5 1085 1178 19.25% 24.49% 56.26%-0.77 +3.5 15
2014-11-09 Gandzasar Kapan D 3-362.2 1066 1062 46.05% 25.37% 28.57%+0.33 -1.0 12
2014-11-09 @ Banants D 3-362.2 1062 1066 28.57% 25.37% 46.05%-0.33 +1.0 15
2014-11-18 Gandzasar Kapan W 1-035.8 1174 1062 58.18% 24.21% 17.61%+0.87 +8.9 21
2014-11-18 @ Shirak L 0-135.8 1062 1174 17.61% 24.21% 58.18%-0.87 -8.9 15
2014-11-18 Pyunik L 2-347.9 1065 1223 24.64% 25.11% 50.25%-0.50 -10.7 12
2014-11-18 @ Banants W 3-247.9 1223 1065 50.25% 25.11% 24.64%+0.50 +10.7 27
2014-11-22 Shirak L 1-252.5 1268 1183 55.52% 24.58% 19.90%+0.74 -21.6 34
2014-11-22 @ Ulisses W 2-152.5 1183 1268 19.90% 24.58% 55.52%-0.74 +21.6 24
2014-11-22 Banants D 0-049.1 1089 1055 49.67% 25.16% 25.18%+0.47 -2.5 16
2014-11-22 @ Alashkert D 0-049.1 1055 1089 25.18% 25.16% 49.67%-0.47 +2.5 13
2014-11-23 Ararat W 1-035.5 1054 934 58.92% 24.09% 16.99%+0.91 +8.7 18
2014-11-23 @ Gandzasar Kapan L 0-135.5 934 1054 16.99% 24.09% 58.92%-0.91 -8.6 6
2014-11-23 Mika W 5-031.7 1234 1189 51.02% 25.05% 23.93%+0.53 +51.3 30
2014-11-23 @ Pyunik L 0-531.7 1189 1234 23.93% 25.05% 51.02%-0.53 -51.3 16
2014-11-29 Mika D 0-049.0 1062 1137 34.99% 25.56% 39.45%-0.08 +0.4 19
2014-11-29 @ Gandzasar Kapan D 0-049.0 1137 1062 39.45% 25.56% 34.99%+0.08 -0.4 17
2014-11-29 Ulisses W 3-032.5 1285 1247 50.20% 25.12% 24.68%+0.50 +32.7 33
2014-11-29 @ Pyunik L 0-332.5 1247 1285 24.68% 25.12% 50.20%-0.50 -32.6 34
2014-11-30 Ararat D 1-153.8 1086 926 62.65% 23.37% 13.98%+1.12 -4.8 17
2014-11-30 @ Alashkert D 1-153.8 926 1086 13.98% 23.37% 62.65%-1.12 +4.8 7
2014-11-30 Banants D 2-258.9 1205 1057 61.51% 23.61% 14.88%+1.05 -3.4 25
2014-11-30 @ Shirak D 2-258.9 1057 1205 14.88% 23.61% 61.51%-1.05 +3.4 14
2015-03-01 Alashkert D 1-153.4 1137 1081 52.25% 24.94% 22.81%+0.59 -2.7 18
2015-03-01 @ Mika D 1-153.4 1081 1137 22.81% 24.94% 52.25%-0.59 +2.7 18
2015-03-01 Shirak L 2-439.9 930 1201 14.57% 23.53% 61.90%-1.07 -11.0 7
2015-03-01 @ Ararat W 4-239.9 1201 930 61.90% 23.53% 14.57%+1.07 +11.0 28
2015-03-01 Banants W 2-139.6 1214 1061 62.06% 23.50% 14.44%+1.08 +7.0 37
2015-03-01 @ Ulisses L 1-239.6 1061 1214 14.44% 23.50% 62.06%-1.08 -7.0 14
2015-03-07 Pyunik L 0-135.9 1084 1318 17.36% 24.16% 58.48%-0.88 -8.8 18
2015-03-07 @ Alashkert W 1-035.9 1318 1084 58.48% 24.16% 17.36%+0.88 +8.8 36
2015-03-08 Ararat W 3-136.5 1054 919 60.33% 23.84% 15.83%+0.98 +13.2 17
2015-03-08 @ Banants L 1-336.5 919 1054 15.83% 23.84% 60.33%-0.98 -13.2 7
2015-03-08 Mika W 2-033.2 1212 1134 54.72% 24.68% 20.60%+0.70 +19.3 31
2015-03-08 @ Shirak L 0-233.2 1134 1212 20.60% 24.68% 54.72%-0.70 -19.3 18
2015-03-14 Ararat D 0-050.7 1221 906 73.48% 19.83% 6.69%+1.90 -7.5 38
2015-03-14 @ Ulisses D 0-050.7 906 1221 6.69% 19.83% 73.48%-1.90 +7.5 8
2015-03-14 Banants D 2-258.5 1115 1067 51.37% 25.02% 23.61%+0.55 -1.9 19
2015-03-14 @ Mika D 2-258.5 1067 1115 23.61% 25.02% 51.37%-0.55 +1.9 18
2015-03-15 Alashkert L 2-353.7 1063 1075 43.75% 25.47% 30.78%+0.24 -16.7 19
2015-03-15 @ Gandzasar Kapan W 3-253.7 1075 1063 30.78% 25.47% 43.75%-0.24 +16.7 21
2015-03-15 Shirak W 2-141.9 1326 1231 56.52% 24.45% 19.03%+0.79 +9.0 39
2015-03-15 @ Pyunik L 1-241.9 1231 1326 19.03% 24.45% 56.52%-0.79 -9.0 31
2015-03-21 Gandzasar Kapan W 2-030.4 1222 1046 64.00% 23.06% 12.95%+1.20 +12.7 34
2015-03-21 @ Shirak L 0-230.4 1046 1222 12.95% 23.06% 64.00%-1.20 -12.7 19
2015-03-22 Mika L 0-136.7 914 1113 20.38% 24.65% 54.97%-0.71 -10.2 8
2015-03-22 @ Ararat W 1-036.7 1113 914 54.97% 24.65% 20.38%+0.71 +10.2 22
2015-03-22 Pyunik L 1-239.9 1069 1335 14.85% 23.60% 61.55%-1.05 -7.2 18
2015-03-22 @ Banants W 2-139.9 1335 1069 61.55% 23.60% 14.85%+1.05 +7.2 42
2015-03-22 Ulisses W 1-044.7 1092 1214 28.84% 25.39% 45.77%-0.32 +19.3 24
2015-03-22 @ Alashkert L 0-144.7 1214 1092 45.77% 25.39% 28.84%+0.32 -19.3 38
2015-04-04 Ararat W 4-022.4 1343 904 79.80% 16.51% 3.69%+2.53 +6.3 45
2015-04-04 @ Pyunik L 0-422.4 904 1343 3.69% 16.51% 79.80%-2.53 -6.3 8
2015-04-04 Mika L 0-147.0 1194 1123 53.98% 24.77% 21.25%+0.66 -22.3 38
2015-04-04 @ Ulisses W 1-047.0 1123 1194 21.25% 24.77% 53.98%-0.66 +22.3 25
2015-04-05 Shirak D 1-153.3 1111 1235 28.58% 25.37% 46.05%-0.33 +1.6 25
2015-04-05 @ Alashkert D 1-153.3 1235 1111 46.05% 25.37% 28.58%+0.33 -1.6 35
2015-04-05 Banants W 2-037.0 1033 1062 41.62% 25.53% 32.86%+0.16 +28.2 22
2015-04-05 @ Gandzasar Kapan L 0-237.0 1062 1033 32.86% 25.53% 41.62%-0.16 -28.2 18
2015-04-11 Alashkert W 2-039.2 1033 1113 34.41% 25.55% 40.04%-0.10 +32.7 21
2015-04-11 @ Banants L 0-239.2 1113 1033 40.04% 25.55% 34.41%+0.10 -32.7 25
2015-04-11 Ulisses W 2-033.8 1234 1172 52.92% 24.88% 22.20%+0.62 +20.6 38
2015-04-11 @ Shirak L 0-233.8 1172 1234 22.20% 24.88% 52.92%-0.62 -20.6 38
2015-04-12 Gandzasar Kapan L 0-234.2 897 1062 23.92% 25.05% 51.03%-0.53 -21.9 8
2015-04-12 @ Ararat W 2-034.2 1062 897 51.03% 25.05% 23.92%+0.53 +21.9 25
2015-04-12 Pyunik W 1-047.7 1146 1349 19.99% 24.60% 55.42%-0.73 +22.9 28
2015-04-12 @ Mika L 0-147.7 1349 1146 55.42% 24.60% 19.99%+0.73 -22.9 45
2015-04-18 Gandzasar Kapan D 1-153.5 1168 1083 55.48% 24.59% 19.94%+0.73 -3.3 29
2015-04-18 @ Mika D 1-153.5 1083 1168 19.94% 24.59% 55.48%-0.73 +3.3 26
2015-04-19 Alashkert L 0-136.6 875 1080 19.88% 24.58% 55.54%-0.74 -9.9 8
2015-04-19 @ Ararat W 1-036.6 1080 875 55.54% 24.58% 19.88%+0.74 +9.9 28
2015-04-19 Pyunik W 2-151.7 1151 1326 22.81% 24.94% 52.25%-0.59 +20.4 41
2015-04-19 @ Ulisses L 1-251.7 1326 1151 52.25% 24.94% 22.81%+0.59 -20.4 45
2015-04-19 Shirak L 3-639.8 1066 1254 21.46% 24.79% 53.75%-0.65 -19.7 21
2015-04-19 @ Banants W 6-339.8 1254 1066 53.75% 24.79% 21.46%+0.65 +19.6 41
2015-04-25 Ararat W 4-022.8 1274 865 78.38% 17.34% 4.28%+2.38 +7.4 44
2015-04-25 @ Shirak L 0-422.8 865 1274 4.28% 17.34% 78.38%-2.38 -7.4 8
2015-04-25 Ulisses W 3-038.5 1046 1172 28.40% 25.36% 46.24%-0.33 +53.4 24
2015-04-25 @ Banants L 0-338.5 1172 1046 46.24% 25.36% 28.40%+0.33 -53.4 41
2015-04-26 Mika L 1-246.4 1090 1165 35.01% 25.56% 39.43%-0.08 -14.8 28
2015-04-26 @ Alashkert W 2-146.4 1165 1090 39.43% 25.56% 35.01%+0.08 +14.8 32
2015-04-26 Pyunik L 0-136.3 1087 1306 18.60% 24.38% 57.02%-0.81 -9.4 26
2015-04-26 @ Gandzasar Kapan W 1-036.3 1306 1087 57.02% 24.38% 18.60%+0.81 +9.4 48
2015-04-29 Ulisses D 0-049.0 1077 1118 39.84% 25.56% 34.60%+0.09 -0.5 27
2015-04-29 @ Gandzasar Kapan D 0-049.0 1118 1077 34.60% 25.56% 39.84%-0.09 +0.5 42
2015-05-02 Alashkert W 3-134.2 1315 1075 68.75% 21.68% 9.57%+1.52 +8.1 51
2015-05-02 @ Pyunik L 1-334.2 1075 1315 9.57% 21.68% 68.75%-1.52 -8.1 28
2015-05-02 Gandzasar Kapan D 0-049.1 1119 1077 50.66% 25.08% 24.26%+0.52 -2.7 43
2015-05-02 @ Ulisses D 0-049.1 1077 1119 24.26% 25.08% 50.66%-0.52 +2.7 28
2015-05-03 Shirak D 2-258.6 1180 1281 31.44% 25.49% 43.07%-0.21 +0.8 33
2015-05-03 @ Mika D 2-258.6 1281 1180 43.07% 25.49% 31.44%+0.21 -0.8 45
2015-05-03 Banants D 2-258.7 858 1100 16.70% 24.03% 59.27%-0.93 +3.0 9
2015-05-03 @ Ararat D 2-258.7 1100 858 59.27% 24.03% 16.70%+0.93 -3.0 25
2015-05-09 Mika D 0-049.0 1097 1181 33.81% 25.54% 40.65%-0.12 +0.7 26
2015-05-09 @ Banants D 0-049.0 1181 1097 40.65% 25.54% 33.81%+0.12 -0.7 34
2015-05-09 Ulisses L 1-336.5 861 1116 15.68% 23.81% 60.51%-0.99 -13.1 9
2015-05-09 @ Ararat W 3-136.5 1116 861 60.51% 23.81% 15.68%+0.99 +13.1 46
2015-05-10 Gandzasar Kapan W 1-040.1 1067 1080 43.76% 25.47% 30.77%+0.24 +14.2 31
2015-05-10 @ Alashkert L 0-140.1 1080 1067 30.77% 25.47% 43.76%-0.24 -14.2 28
2015-05-10 Pyunik L 0-240.0 1280 1323 39.61% 25.56% 34.83%+0.09 -32.5 45
2015-05-10 @ Shirak W 2-040.0 1323 1280 34.83% 25.56% 39.61%-0.09 +32.5 54
2015-05-16 Alashkert D 2-258.5 1129 1081 51.37% 25.02% 23.61%+0.55 -1.9 47
2015-05-16 @ Ulisses D 2-258.5 1081 1129 23.61% 25.02% 51.37%-0.55 +1.9 32
2015-05-16 Shirak D 3-362.4 1065 1248 21.99% 24.85% 53.15%-0.63 +1.8 29
2015-05-16 @ Gandzasar Kapan D 3-362.4 1248 1065 53.15% 24.85% 21.99%+0.63 -1.8 46
2015-05-17 Ararat W 3-024.7 1180 848 74.45% 19.39% 6.17%+1.99 +8.5 37
2015-05-17 @ Mika L 0-324.7 848 1180 6.17% 19.39% 74.45%-1.99 -8.5 9
2015-05-17 Banants L 1-255.8 1356 1098 69.98% 21.25% 8.77%+1.61 -26.7 54
2015-05-17 @ Pyunik W 2-155.8 1098 1356 8.77% 21.25% 69.98%-1.61 +26.7 29
2015-05-20 Gandzasar Kapan W 3-133.8 1329 1067 70.22% 21.16% 8.62%+1.63 +7.3 57
2015-05-20 @ Pyunik L 1-333.8 1067 1329 8.62% 21.16% 70.22%-1.63 -7.3 29
2015-05-23 Pyunik D 2-260.5 839 1336 4.95% 18.17% 76.88%-2.22 +5.4 10
2015-05-23 @ Ararat D 2-260.5 1336 839 76.88% 18.17% 4.95%+2.22 -5.4 58
2015-05-23 Ulisses L 1-251.6 1188 1127 52.85% 24.88% 22.26%+0.61 -20.7 37
2015-05-23 @ Mika W 2-151.6 1127 1188 22.26% 24.88% 52.85%-0.61 +20.7 50
2015-05-24 Alashkert L 0-245.5 1246 1083 62.88% 23.32% 13.80%+1.13 -48.5 46
2015-05-24 @ Shirak W 2-045.5 1083 1246 13.80% 23.32% 62.88%-1.13 +48.5 35
2015-05-24 Gandzasar Kapan W 2-033.6 1124 1060 53.23% 24.85% 21.93%+0.63 +20.4 32
2015-05-24 @ Banants L 0-233.6 1060 1124 21.93% 24.85% 53.23%-0.63 -20.4 29
2015-05-30 Ararat L 0-343.4 1039 845 65.45% 22.68% 11.87%+1.29 -73.1 29
2015-05-30 @ Gandzasar Kapan W 3-043.4 845 1039 11.87% 22.68% 65.45%-1.29 +73.0 13
2015-05-30 Mika W 3-244.4 1331 1168 62.88% 23.32% 13.80%+1.13 +6.4 61
2015-05-30 @ Pyunik L 2-344.4 1168 1331 13.80% 23.32% 62.88%-1.13 -6.4 37
2015-05-30 Shirak L 0-435.7 1148 1198 38.63% 25.57% 35.80%+0.05 -60.4 50
2015-05-30 @ Ulisses W 4-035.7 1198 1148 35.80% 25.57% 38.63%-0.05 +60.4 49
2015-05-30 Banants W 3-141.6 1132 1145 43.71% 25.47% 30.82%+0.24 +23.2 38
2015-05-30 @ Alashkert L 1-341.6 1145 1132 30.82% 25.47% 43.71%-0.24 -23.2 32

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 2015-05-17 8.77% Banants 1098 2 @ Pyunik 1356 1
2 2015-05-30 11.87% Ararat 845 3 @ Gandzasar Kapan 1039 0
3 2015-05-24 13.80% Alashkert 1083 2 @ Shirak 1246 0
4 2014-11-08 19.81% @ Mika 1126 3 Ulisses 1331 0
5 2014-11-22 19.90% Shirak 1183 2 @ Ulisses 1268 1
6 2015-04-12 19.99% @ Mika 1146 1 Pyunik 1349 0
7 2015-04-04 21.25% Mika 1123 1 @ Ulisses 1194 0
8 2014-08-27 22.15% Ulisses 1134 2 @ Pyunik 1196 0
9 2015-05-23 22.26% Ulisses 1127 2 @ Mika 1188 1
10 2015-04-19 22.81% @ Ulisses 1151 2 Pyunik 1326 1
11 2014-10-25 24.31% Mika 1073 2 @ Banants 1115 0
12 2014-09-13 24.56% @ Alashkert 1047 2 Shirak 1206 0
13 2014-10-05 28.07% Pyunik 1176 4 @ Gandzasar Kapan 1185 3
14 2015-04-25 28.40% @ Banants 1046 3 Ulisses 1172 0
15 2015-03-22 28.84% @ Alashkert 1092 1 Ulisses 1214 0
16 2014-10-19 29.63% @ Mika 1042 3 Shirak 1158 1
17 2015-03-15 30.78% Alashkert 1075 3 @ Gandzasar Kapan 1063 2
18 2014-11-01 31.02% Shirak 1127 3 @ Gandzasar Kapan 1112 0
19 2014-08-16 32.68% Pyunik 1148 2 @ Alashkert 1121 0
20 2014-09-28 33.04% @ Ararat 985 2 Alashkert 1074 1
21 2014-08-30 33.28% @ Ararat 1026 2 Mika 1113 0
22 2015-04-11 34.41% @ Banants 1033 2 Alashkert 1113 0
23 2015-05-10 34.83% Pyunik 1323 2 @ Shirak 1280 0
24 2014-08-09 34.89% Shirak 1153 2 @ Ararat 1110 0
25 2015-05-30 35.80% Shirak 1198 4 @ Ulisses 1148 0

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 2015-05-30 73.05 Ararat 3 845 11.87% @ Gandzasar Kapan 0 1039 65.45% 22.68%
2 2014-11-08 62.83 @ Mika 3 1126 19.81% Ulisses 0 1331 55.62% 24.57%
3 2015-05-30 60.43 Shirak 4 1198 35.80% @ Ulisses 0 1148 38.63% 25.57%
4 2015-04-25 53.40 @ Banants 3 1046 28.40% Ulisses 0 1172 46.24% 25.36%
5 2014-11-23 51.26 @ Pyunik 5 1234 51.02% Mika 0 1189 23.93% 25.05%
6 2014-11-01 50.78 Shirak 3 1127 31.02% @ Gandzasar Kapan 0 1112 43.50% 25.48%
7 2015-05-24 48.48 Alashkert 2 1083 13.80% @ Shirak 0 1246 62.88% 23.32%
8 2014-08-27 41.39 Ulisses 2 1134 22.15% @ Pyunik 0 1196 52.98% 24.87%
9 2014-10-18 40.40 @ Ulisses 7 1269 57.09% Gandzasar Kapan 1 1168 18.54% 24.37%
10 2014-09-21 40.33 Gandzasar Kapan 5 1147 45.73% @ Ararat 1 1025 28.88% 25.39%
11 2014-10-25 39.74 Mika 2 1073 24.31% @ Banants 0 1115 50.61% 25.08%
12 2014-09-13 39.56 @ Alashkert 2 1047 24.56% Shirak 0 1206 50.34% 25.11%
13 2014-09-13 34.15 @ Pyunik 4 1155 56.57% Ararat 0 1059 18.98% 24.44%
14 2014-08-16 33.86 Pyunik 2 1148 32.68% @ Alashkert 0 1121 41.79% 25.52%
15 2014-08-30 33.47 @ Ararat 2 1026 33.28% Mika 0 1113 41.19% 25.54%
16 2015-04-11 32.74 @ Banants 2 1033 34.41% Alashkert 0 1113 40.04% 25.55%
17 2014-11-29 32.65 @ Pyunik 3 1285 50.20% Ulisses 0 1247 24.68% 25.12%
18 2015-05-10 32.47 Pyunik 2 1323 34.83% @ Shirak 0 1280 39.61% 25.56%
19 2014-08-09 32.43 Shirak 2 1153 34.89% @ Ararat 0 1110 39.55% 25.56%
20 2014-08-17 31.75 @ Banants 3 1123 51.10% Ararat 0 1078 23.85% 25.04%
21 2014-10-19 31.11 @ Mika 3 1042 29.63% Shirak 1 1158 44.95% 25.42%
22 2015-04-05 28.19 @ Gandzasar Kapan 2 1033 41.62% Banants 0 1062 32.86% 25.53%
23 2014-08-10 27.43 @ Pyunik 2 1121 42.81% Gandzasar Kapan 0 1140 31.70% 25.50%
24 2014-08-31 27.31 Ulisses 2 1175 42.99% @ Alashkert 0 1075 31.52% 25.49%
25 2014-10-05 26.73 @ Alashkert 2 1057 43.88% Mika 0 1069 30.66% 25.46%

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 2014-10-18 62.6 @ Pyunik 3 1194 57.98% Alashkert 3 1084 17.78% 24.24%
2 2015-05-16 62.4 @ Gandzasar Kapan 3 1065 21.99% Shirak 3 1248 53.15% 24.85%
3 2014-11-09 62.2 @ Banants 3 1066 46.05% Gandzasar Kapan 3 1062 28.57% 25.37%
4 2015-05-23 60.5 @ Ararat 2 839 4.95% Pyunik 2 1336 76.88% 18.17%
5 2014-11-30 58.9 @ Shirak 2 1205 61.51% Banants 2 1057 14.88% 23.61%
6 2015-05-03 58.7 @ Ararat 2 858 16.70% Banants 2 1100 59.27% 24.03%
7 2015-05-03 58.6 @ Mika 2 1180 31.44% Shirak 2 1281 43.07% 25.49%
8 2015-03-14 58.5 @ Mika 2 1115 51.37% Banants 2 1067 23.61% 25.02%
9 2015-05-16 58.5 @ Ulisses 2 1129 51.37% Alashkert 2 1081 23.61% 25.02%
10 2014-10-05 57.4 Pyunik 4 1176 28.07% @ Gandzasar Kapan 3 1185 46.58% 25.35%
11 2015-05-17 55.8 Banants 2 1098 8.77% @ Pyunik 1 1356 69.98% 21.25%
12 2014-11-30 53.8 @ Alashkert 1 1086 62.65% Ararat 1 926 13.98% 23.37%
13 2015-03-15 53.7 Alashkert 3 1075 30.78% @ Gandzasar Kapan 2 1063 43.75% 25.47%
14 2014-11-09 53.5 @ Shirak 1 1178 56.26% Alashkert 1 1085 19.25% 24.49%
15 2015-04-18 53.5 @ Mika 1 1168 55.48% Gandzasar Kapan 1 1083 19.94% 24.59%
16 2015-03-01 53.4 @ Mika 1 1137 52.25% Alashkert 1 1081 22.81% 24.94%
17 2015-04-05 53.3 @ Alashkert 1 1111 28.58% Shirak 1 1235 46.05% 25.37%
18 2014-08-23 53.2 @ Mika 1 1114 39.81% Banants 1 1155 34.64% 25.56%
19 2014-09-21 53.2 @ Mika 1 1066 28.70% Pyunik 1 1189 45.92% 25.38%
20 2014-09-27 53.2 @ Mika 1 1068 29.15% Gandzasar Kapan 1 1187 45.45% 25.40%
21 2014-09-28 53.2 @ Banants 1 1122 41.61% Shirak 1 1150 32.87% 25.53%
22 2014-11-22 52.5 Shirak 2 1183 19.90% @ Ulisses 1 1268 55.52% 24.58%
23 2015-04-19 51.7 @ Ulisses 2 1151 22.81% Pyunik 1 1326 52.25% 24.94%
24 2015-05-23 51.6 Ulisses 2 1127 22.26% @ Mika 1 1188 52.85% 24.88%
25 2015-03-14 50.7 @ Ulisses 0 1221 73.48% Ararat 0 906 6.69% 19.83%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2015-04-04 22.4 @ Pyunik 4 1343 79.80% Ararat 0 904 3.69% 16.51%
2 2015-04-25 22.8 @ Shirak 4 1274 78.38% Ararat 0 865 4.28% 17.34%
3 2015-05-17 24.7 @ Mika 3 1180 74.45% Ararat 0 848 6.17% 19.39%
4 2014-11-08 29.2 Pyunik 3 1200 59.30% @ Ararat 0 958 16.68% 24.03%
5 2014-09-13 29.4 @ Pyunik 4 1155 56.57% Ararat 0 1059 18.98% 24.44%
6 2014-11-01 30.3 @ Ulisses 5 1314 66.77% Alashkert 1 1102 10.92% 22.31%
7 2015-03-21 30.4 @ Shirak 2 1222 64.00% Gandzasar Kapan 0 1046 12.95% 23.06%
8 2014-08-17 31.7 @ Banants 3 1123 51.10% Ararat 0 1078 23.85% 25.04%
9 2014-11-23 31.7 @ Pyunik 5 1234 51.02% Mika 0 1189 23.93% 25.05%
10 2014-11-29 32.5 @ Pyunik 3 1285 50.20% Ulisses 0 1247 24.68% 25.12%
11 2014-10-18 32.6 @ Ulisses 7 1269 57.09% Gandzasar Kapan 1 1168 18.54% 24.37%
12 2015-03-08 33.2 @ Shirak 2 1212 54.72% Mika 0 1134 20.60% 24.68%
13 2014-08-23 33.4 @ Ulisses 2 1114 53.65% Ararat 0 1046 21.55% 24.80%
14 2015-05-24 33.6 @ Banants 2 1124 53.23% Gandzasar Kapan 0 1060 21.93% 24.85%
15 2015-04-11 33.8 @ Shirak 2 1234 52.92% Ulisses 0 1172 22.20% 24.88%
16 2015-05-20 33.8 @ Pyunik 3 1329 70.22% Gandzasar Kapan 1 1067 8.62% 21.16%
17 2015-04-12 34.2 Gandzasar Kapan 2 1062 51.03% @ Ararat 0 897 23.92% 25.05%
18 2015-05-02 34.2 @ Pyunik 3 1315 68.75% Alashkert 1 1075 9.57% 21.68%
19 2014-08-27 35.0 @ Shirak 2 1182 48.79% Banants 0 1156 25.99% 25.22%
20 2014-11-23 35.5 @ Gandzasar Kapan 1 1054 58.92% Ararat 0 934 16.99% 24.09%
21 2014-11-02 35.7 @ Pyunik 1 1191 58.60% Banants 0 1075 17.26% 24.14%
22 2015-05-30 35.7 Shirak 4 1198 35.80% @ Ulisses 0 1148 38.63% 25.57%
23 2014-11-18 35.8 @ Shirak 1 1174 58.18% Gandzasar Kapan 0 1062 17.61% 24.21%
24 2014-10-04 35.9 Ulisses 2 1243 45.85% @ Banants 0 1121 28.77% 25.38%
25 2015-03-07 35.9 Pyunik 1 1318 58.48% @ Alashkert 0 1084 17.36% 24.16%