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2013-14 Armenian Premier League Season

112 games

Final

Champion

Banants

50 points · 1st Title

Relegated

No relegation

Biggest Overachiever

Banants

12.92 points above expected

50 points · 37.08 expected points

Biggest Disappointment

Pyunik

8.65 points below expected

32 points · 40.65 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 Banants Champion 28 14 8 6 50 38 23 +15 37.08 +12.92
2 Shirak 28 13 8 7 47 48 31 +17 46.86 +0.14
3 Mika 28 12 11 5 47 36 27 +9 39.34 +7.66
4 Ararat 28 12 8 8 44 30 23 +7 38.85 +5.15
5 Gandzasar Kapan 28 8 11 9 35 36 31 +5 41.27 -6.27
6 Pyunik 28 8 8 12 32 41 39 +2 40.65 -8.65
7 Ulisses 28 7 4 17 25 21 45 -24 31.42 -6.42
8 Alashkert 28 6 6 16 24 38 69 -31 27.84 -3.84

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 50 37.08 +12.92
2 Mika 47 39.34 +7.66
3 Ararat 44 38.85 +5.15
4 Shirak 47 46.86 +0.14
5 Alashkert 24 27.84 -3.84

Biggest Disappointments

# Team Actual Sim vsSim
1 Pyunik 32 40.65 -8.65
2 Ulisses 25 31.42 -6.42
3 Gandzasar Kapan 35 41.27 -6.27
4 Alashkert 24 27.84 -3.84
5 Shirak 47 46.86 +0.14

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 6 Dec 1 – Apr 5 1 in 313
2 Ararat 4 Sep 21 – Oct 27 1 in 87
3 Ulisses 2 Apr 30 – May 3 1 in 31
4 Alashkert 2 Nov 3 – Nov 10 1 in 31
5 Shirak 3 Nov 2 – Nov 24 1 in 19

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Ulisses 6 Mar 2 – Apr 5 1 in 159
2 Gandzasar Kapan 3 Apr 5 – Apr 13 1 in 112
3 Ararat 3 May 3 – May 18 1 in 44
4 Alashkert 4 Aug 24 – Sep 21 1 in 41
5 Pyunik 3 Nov 9 – Nov 30 1 in 26

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Ararat 9 Aug 24 – Nov 2 1 in 113
2 Mika 9 Mar 8 – Apr 26 1 in 35
3 Alashkert 4 Apr 9 – Apr 23 1 in 14
4 Pyunik 6 Aug 4 – Sep 21 1 in 12
5 Banants 6 Dec 1 – Apr 5 1 in 10

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Gandzasar Kapan 9 Dec 1 – Apr 19 1 in 116
2 Ararat 7 Apr 19 – May 18 1 in 42
3 Alashkert 10 Aug 3 – Oct 30 1 in 35
4 Ulisses 8 Nov 24 – Apr 5 1 in 13
5 Pyunik 5 Oct 30 – Nov 30 1 in 12

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
Banants 1213 50 +29 12 8.0 +4.0
Shirak 1269 47 +30 12 8.9 +3.1
Mika 1217 47 +17 10 7.0 +3.0
Ararat 1148 44 -53 1 7.2 -6.2
Gandzasar Kapan 1163 35 -4 7 7.1 -0.1
Pyunik 1139 32 -52 2 7.5 -5.5
Ulisses 1043 25 +23 9 4.2 +4.8
Alashkert 1082 24 +9 4 4.5 -0.5

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 —
0-1-3
3.99
0-2-2
4.03
2-0-2
3.90
1-1-2
3.98
1-0-3
3.85
0-1-3
3.65
2-1-1
4.81
Ararat
3-1-0
6.87
—
0-2-2
5.83
2-1-1
4.98
1-1-2
5.23
3-1-0
5.19
0-2-2
4.47
3-0-1
6.44
Banants
2-2-0
6.83
2-2-0
4.98
—
1-1-2
4.97
1-1-2
5.21
2-2-0
4.96
3-0-1
4.18
3-0-1
6.21
Gandzasar Kapan
2-0-2
6.98
1-1-2
5.83
2-1-1
5.84
—
0-3-1
5.65
0-3-1
5.48
2-2-0
4.76
1-1-2
7.19
Mika
2-1-1
6.91
2-1-1
5.58
2-1-1
5.60
1-3-0
5.15
—
2-1-1
5.11
0-3-1
4.62
3-1-0
6.80
Pyunik
3-0-1
7.02
0-1-3
5.62
0-2-2
5.86
1-3-0
5.32
1-1-2
5.69
—
2-0-2
4.72
1-1-2
7.05
Shirak
3-1-0
7.27
2-2-0
6.37
1-0-3
6.65
0-2-2
6.05
1-3-0
6.19
2-0-2
6.08
—
4-0-0
7.32
Ulisses
1-1-2
6.01
1-0-3
4.44
1-0-3
4.62
2-1-1
3.69
0-1-3
4.05
2-1-1
3.82
0-0-4
3.59
—

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 0.16 +5.3
Allowed 0.72 -5.7
Differential 0.83 +5.3

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
010.71%8.93%6.70%2.23%0.89%1.34%30.80%
18.93%12.50%8.48%1.79%0.89%1.34%33.93%
26.70%8.48%4.46%2.23%—0.89%22.77%
32.23%1.79%2.23%0.89%——7.14%
40.89%0.89%————1.79%
5+1.34%1.34%0.89%———3.57%
Total30.80%33.93%22.77%7.14%1.79%3.57%100%

Summary Statistics

Scored Allowed Difference
Mean 1.29 1.29 +0.00
SD 1.34 1.34 1.94
CV 1.04 1.04 —
Max 9 9 +7
Min 0 0 -7

Games Played: 112

↓ Scored | Allowed →012345+Total
03.57%7.14%3.57%3.57%—10.71%28.57%
1—10.71%10.71%3.57%3.57%3.57%32.14%
27.14%3.57%7.14%3.57%—7.14%28.57%
33.57%—————3.57%
4———————
5+—7.14%————7.14%
Total14.29%28.57%21.43%10.71%3.57%21.43%100%

Summary Statistics

Scored Allowed Difference
Mean 1.36 2.46 -1.11
SD 1.34 2.24 2.86
CV 0.99 0.91 —
Max 5 9 +4
Min 0 0 -7

Games Played: 28

↓ Scored | Allowed →012345+Total
017.86%3.57%3.57%3.57%——28.57%
125.00%10.71%14.29%—3.57%—53.57%
27.14%—————7.14%
33.57%—3.57%———7.14%
4———————
5+3.57%—————3.57%
Total57.14%14.29%21.43%3.57%3.57%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.07 0.82 +0.25
SD 1.12 1.12 1.67
CV 1.05 1.37 —
Max 5 4 +5
Min 0 0 -3

Games Played: 28

↓ Scored | Allowed →012345+Total
017.86%3.57%7.14%———28.57%
121.43%—7.14%———28.57%
27.14%14.29%10.71%3.57%——35.71%
3—3.57%————3.57%
4———————
5+3.57%—————3.57%
Total50.00%21.43%25.00%3.57%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.36 0.82 +0.54
SD 1.42 0.94 1.67
CV 1.05 1.15 —
Max 7 3 +7
Min 0 0 -2

Games Played: 28

↓ Scored | Allowed →012345+Total
021.43%10.71%7.14%———39.29%
13.57%14.29%7.14%———25.00%
27.14%7.14%3.57%7.14%——25.00%
3——7.14%———7.14%
4———————
5+——3.57%———3.57%
Total32.14%32.14%28.57%7.14%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.29 1.11 +0.18
SD 1.80 0.96 1.68
CV 1.40 0.86 —
Max 9 3 +7
Min 0 0 -2

Games Played: 28

↓ Scored | Allowed →012345+Total
07.14%3.57%7.14%—3.57%—21.43%
110.71%28.57%3.57%———42.86%
27.14%14.29%3.57%———25.00%
33.57%—3.57%———7.14%
43.57%—————3.57%
5+———————
Total32.14%46.43%17.86%—3.57%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.29 0.96 +0.32
SD 1.01 0.92 1.54
CV 0.79 0.96 —
Max 4 4 +4
Min 0 0 -4

Games Played: 28

↓ Scored | Allowed →012345+Total
07.14%17.86%3.57%3.57%——32.14%
1—10.71%10.71%3.57%—3.57%28.57%
27.14%3.57%7.14%———17.86%
3—3.57%3.57%3.57%——10.71%
43.57%—————3.57%
5+3.57%3.57%————7.14%
Total21.43%39.29%25.00%10.71%—3.57%100%

Summary Statistics

Scored Allowed Difference
Mean 1.46 1.39 +0.07
SD 1.50 1.17 2.04
CV 1.03 0.84 —
Max 5 5 +5
Min 0 0 -4

Games Played: 28

↓ Scored | Allowed →012345+Total
07.14%7.14%7.14%———21.43%
1—17.86%3.57%3.57%——25.00%
27.14%14.29%3.57%3.57%——28.57%
37.14%7.14%————14.29%
4—7.14%————7.14%
5+——3.57%———3.57%
Total21.43%53.57%17.86%7.14%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.71 1.11 +0.61
SD 1.36 0.83 1.62
CV 0.79 0.75 —
Max 5 3 +3
Min 0 0 -2

Games Played: 28

↓ Scored | Allowed →012345+Total
03.57%17.86%14.29%7.14%3.57%—46.43%
110.71%7.14%10.71%3.57%—3.57%35.71%
23.57%10.71%————14.29%
3———3.57%——3.57%
4———————
5+———————
Total17.86%35.71%25.00%14.29%3.57%3.57%100%

Summary Statistics

Scored Allowed Difference
Mean 0.75 1.61 -0.86
SD 0.84 1.26 1.58
CV 1.13 0.78 —
Max 3 5 +2
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
Shirak 1269 47 46.86 +0.14 56.0% 31 36 43 47 51 59 66
Mika 1217 47 39.34 +7.66 91.0% 20 26 36 40 43 50 55
Banants 1213 50 37.08 +12.92 97.0% 16 25 32 37 42 49 58
Gandzasar Kapan 1163 35 41.27 -6.27 21.0% 25 30 37 41 46 51 59
Ararat 1148 44 38.85 +5.15 79.0% 22 28 34 38 43 49 53
Pyunik 1139 32 40.65 -8.65 13.0% 27 31 36 40 46 52 55
Alashkert 1082 24 27.84 -3.84 26.0% 14 17 24 28 32 37 41
Ulisses 1043 25 31.42 -6.42 17.0% 19 21 28 31 36 41 45

Point Totals in Context

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

Home-Field Advantage Edge

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

Season Trends

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

Edges & Scoring

How these are measured

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

Home Edge
Share of matches won by the home team minus the share won by the away team.
No Edge: under 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
+10.71%
Clear Edge
41.07%28.57%30.36%
Elo Value
Home Edge: 37.37 Elo pts.
188 Elo
0.005 goals per Elo point
0500
Scoring Tilt
Expected
+0.39 goals
Neutral
-2+0.20+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
3.5
Open
12348
Champion Preseason Odds
12%
Banants, 4th of 8
LongshotFavorite
Title Margin
Expected
0.11/gm
Tight Race
00.180.5/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 5.21 * Some Luck: 5.21 to 7.81 * Lucky: 7.81 to 10.41 * Wild Swing: 10.41 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 1.17 * Close: 1.17 to 1.76 * Off: 1.76 to 2.35 * Way Off: 2.35 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
7.26 points
Some Luck
06.5116
Average Finish Error
Expected
1.75
Close
01.473
Biggest Overachiever
Expected 93.75%
97.00%
Banants
50100
Biggest Underachiever
Expected
13.00%
Pyunik
06.25%50
Season Outliers
Expected
1 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
0.14
Balanced
00.20.280.5
Noll-Scully
Elo SD: 73.89
1.52
Coin-Flip Parity
12.252.553.5
Interquartile Edge
63%
Even
50%72.5%85%100%
Best vs. Worst
Baseline
79%
Even
50%79%100%
Close Games
Expected
68%
Very Frequent
0%56%100%
Blowouts
Expected
15%
Occasional
0%20%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
00.642
Matchup Imbalance
0.27
Very Even
00.5
Strangeness
Expected
1.14
Wilder Than Modeled
01.002
Repeatability
-0.14
Weak Carryover
00.370.630.771
Upset Rate
Expected
29%
Very Upset-Prone
0%26%50%
Clear Favorite Upset Rate
Expected
31%
Very Shaky
0%22%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 0.31 * Well Above Noise: 0.31 and up.
Probability calibration
0.69
Excellent
0.010.050.10.51
Calibration slope
Ideal
0.46
Overconfident
0.2918831.001.70812
Calibration error (ECE)
Noise ceiling
0.175
Near Noise Ceiling
00.1570.4

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
Banants12.00%6.00%12.00%15.00%12.00%20.00%13.00%10.00%
Shirak48.00%20.00%12.00%9.00%7.00%3.00%1.00%—
Mika7.00%19.00%15.00%18.00%19.00%8.00%8.00%6.00%
Ararat6.00%17.00%13.00%18.00%16.00%19.00%6.00%5.00%
Gandzasar Kapan14.00%18.00%19.00%25.00%7.00%12.00%2.00%3.00%
Pyunik13.00%19.00%19.00%9.00%18.00%14.00%8.00%—
Ulisses—1.00%8.00%4.00%15.00%16.00%27.00%29.00%
Alashkert——2.00%2.00%6.00%8.00%35.00%47.00%

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% —
Gandzasar Kapan 97.00% 3.00%
Ararat 95.00% 5.00%
Mika 94.00% 6.00%
Banants 90.00% 10.00%
Ulisses 71.00% 29.00%
Alashkert 53.00% 47.00%

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
2013-08-03 Alashkert D 1-151.2 1155 1167 38.97% 30.19% 30.84%+0.14 -0.4 1
2013-08-03 @ Ulisses D 1-151.2 1167 1155 30.84% 30.19% 38.97%-0.14 +0.4 1
2013-08-03 Ararat D 0-046.7 1113 1100 42.37% 29.88% 27.75%+0.27 -0.8 1
2013-08-03 @ Banants D 0-046.7 1100 1113 27.75% 29.88% 42.37%-0.27 +0.8 1
2013-08-04 Gandzasar Kapan L 2-355.2 1216 1184 44.98% 29.52% 25.50%+0.37 -9.5 0
2013-08-04 @ Shirak W 3-255.2 1184 1216 25.50% 29.52% 44.98%-0.37 +9.5 3
2013-08-04 Mika D 1-151.3 1171 1167 41.16% 30.01% 28.83%+0.22 -0.6 1
2013-08-04 @ Pyunik D 1-151.3 1167 1171 28.83% 30.01% 41.16%-0.22 +0.6 1
2013-08-17 Mika L 0-141.3 1101 1168 31.26% 30.21% 38.53%-0.16 -8.1 1
2013-08-17 @ Ararat W 1-041.3 1168 1101 38.53% 30.21% 31.26%+0.16 +8.1 4
2013-08-17 Ulisses W 2-147.7 1112 1155 34.53% 30.31% 35.15%-0.03 +8.3 4
2013-08-17 @ Banants L 1-247.7 1155 1112 35.15% 30.31% 34.53%+0.03 -8.3 1
2013-08-18 Pyunik L 2-354.8 1193 1170 43.77% 29.70% 26.53%+0.32 -9.2 3
2013-08-18 @ Gandzasar Kapan W 3-254.8 1170 1193 26.53% 29.70% 43.77%-0.32 +9.3 4
2013-08-18 Shirak D 1-151.2 1168 1207 35.08% 30.31% 34.60%-0.01 -0.0 2
2013-08-18 @ Alashkert D 1-151.2 1207 1168 34.60% 30.31% 35.08%+0.01 +0.0 1
2013-08-24 Alashkert W 3-142.7 1180 1168 42.25% 29.90% 27.85%+0.26 +12.1 7
2013-08-24 @ Pyunik L 1-342.7 1168 1180 27.85% 29.90% 42.25%-0.26 -12.1 2
2013-08-24 Ararat L 0-145.9 1147 1093 47.81% 28.99% 23.20%+0.49 -11.1 1
2013-08-24 @ Ulisses W 1-045.9 1093 1147 23.20% 28.99% 47.81%-0.49 +11.1 4
2013-08-25 Gandzasar Kapan D 1-151.2 1176 1184 39.43% 30.16% 30.41%+0.15 -0.4 5
2013-08-25 @ Mika D 1-151.2 1184 1176 30.41% 30.16% 39.43%-0.15 +0.4 4
2013-08-25 Banants W 2-142.6 1207 1120 51.84% 27.99% 20.18%+0.66 +5.4 4
2013-08-25 @ Shirak L 1-242.6 1120 1207 20.18% 27.99% 51.84%-0.66 -5.4 4
2013-08-31 Gandzasar Kapan W 3-253.9 1104 1185 29.43% 30.07% 40.49%-0.23 +8.7 7
2013-08-31 @ Ararat L 2-353.9 1185 1104 40.49% 30.07% 29.43%+0.23 -8.7 4
2013-08-31 Pyunik D 2-256.5 1115 1192 29.96% 30.12% 39.92%-0.21 +0.3 5
2013-08-31 @ Banants D 2-256.5 1192 1115 39.92% 30.12% 29.96%+0.21 -0.3 8
2013-08-31 Shirak L 0-336.4 1136 1212 29.98% 30.12% 39.89%-0.21 -21.5 1
2013-08-31 @ Ulisses W 3-036.4 1212 1136 39.89% 30.12% 29.98%+0.21 +21.5 7
2013-09-01 Mika L 1-248.5 1155 1175 37.86% 30.25% 31.89%+0.09 -8.8 2
2013-09-01 @ Alashkert W 2-148.5 1175 1155 31.89% 30.25% 37.86%-0.09 +8.8 8
2013-09-14 Alashkert W 9-237.1 1176 1147 44.57% 29.58% 25.85%+0.35 +28.7 7
2013-09-14 @ Gandzasar Kapan L 2-937.1 1147 1176 25.85% 29.58% 44.57%-0.35 -28.7 2
2013-09-14 Ararat D 1-152.3 1234 1112 55.91% 26.66% 17.42%+0.84 -2.0 8
2013-09-14 @ Shirak D 1-152.3 1112 1234 17.42% 26.66% 55.91%-0.84 +2.0 8
2013-09-14 Ulisses D 3-360.6 1191 1114 50.70% 28.30% 21.00%+0.61 -0.9 9
2013-09-14 @ Pyunik D 3-360.6 1114 1191 21.00% 28.30% 50.70%-0.61 +0.9 2
2013-09-14 Banants D 0-047.2 1184 1115 49.64% 28.57% 21.79%+0.56 -1.5 9
2013-09-14 @ Mika D 0-047.2 1115 1184 21.79% 28.57% 49.64%-0.56 +1.5 6
2013-09-21 Alashkert W 5-035.9 1114 1118 40.13% 30.10% 29.77%+0.18 +34.5 11
2013-09-21 @ Ararat L 0-535.9 1118 1114 29.77% 30.10% 40.13%-0.18 -34.5 2
2013-09-21 Pyunik L 0-242.9 1232 1190 46.17% 29.31% 24.52%+0.42 -20.3 8
2013-09-21 @ Shirak W 2-042.9 1190 1232 24.52% 29.31% 46.17%-0.42 +20.3 12
2013-09-22 Gandzasar Kapan D 0-046.7 1117 1205 28.57% 29.98% 41.44%-0.27 +0.7 7
2013-09-22 @ Banants D 0-046.7 1205 1117 41.44% 29.98% 28.57%+0.27 -0.7 8
2013-09-22 Mika D 1-151.2 1115 1182 31.18% 30.21% 38.61%-0.16 +0.3 3
2013-09-22 @ Ulisses D 1-151.2 1182 1115 38.61% 30.21% 31.18%+0.16 -0.3 10
2013-09-27 Ulisses W 1-037.3 1204 1115 52.08% 27.92% 20.01%+0.67 +5.6 11
2013-09-27 @ Gandzasar Kapan L 0-137.3 1115 1204 20.01% 27.92% 52.08%-0.67 -5.6 3
2013-09-28 Ararat L 0-146.2 1211 1149 48.79% 28.77% 22.44%+0.53 -11.3 12
2013-09-28 @ Pyunik W 1-046.2 1149 1211 22.44% 28.77% 48.79%-0.53 +11.3 14
2013-09-28 Shirak D 2-256.5 1182 1211 36.50% 30.29% 33.21%+0.04 -0.1 11
2013-09-28 @ Mika D 2-256.5 1211 1182 33.21% 30.29% 36.50%-0.04 +0.1 9
2013-09-29 Banants D 2-256.4 1084 1118 35.83% 30.31% 33.86%+0.02 -0.1 3
2013-09-29 @ Alashkert D 2-256.4 1118 1084 33.86% 30.31% 35.83%-0.02 +0.1 8
2013-10-19 Alashkert W 5-238.5 1212 1083 56.69% 26.38% 16.93%+0.88 +9.6 12
2013-10-19 @ Shirak L 2-538.5 1083 1212 16.93% 26.38% 56.69%-0.88 -9.6 3
2013-10-19 Ararat L 0-144.9 1182 1160 43.58% 29.73% 26.69%+0.31 -10.3 11
2013-10-19 @ Mika W 1-044.9 1160 1182 26.69% 29.73% 43.58%-0.31 +10.3 17
2013-10-20 Gandzasar Kapan D 2-256.6 1199 1210 39.21% 30.17% 30.61%+0.15 -0.3 13
2013-10-20 @ Pyunik D 2-256.6 1210 1199 30.61% 30.17% 39.21%-0.15 +0.3 12
2013-10-20 Banants W 1-041.0 1110 1118 39.53% 30.15% 30.32%+0.16 +7.9 6
2013-10-20 @ Ulisses L 0-141.0 1118 1110 30.32% 30.15% 39.53%-0.16 -7.9 8
2013-10-27 Mika D 1-151.5 1210 1172 45.76% 29.39% 24.85%+0.40 -1.0 13
2013-10-27 @ Gandzasar Kapan D 1-151.5 1172 1210 24.85% 29.39% 45.76%-0.40 +1.0 12
2013-10-27 Pyunik L 0-534.0 1074 1199 24.28% 29.26% 46.46%-0.47 -29.4 3
2013-10-27 @ Alashkert W 5-034.0 1199 1074 46.46% 29.26% 24.28%+0.47 +29.4 16
2013-10-27 Shirak W 1-045.2 1110 1221 25.79% 29.57% 44.64%-0.39 +10.5 11
2013-10-27 @ Banants L 0-145.2 1221 1110 44.64% 29.57% 25.79%+0.39 -10.5 12
2013-10-27 Ulisses W 2-035.8 1170 1118 47.64% 29.03% 23.33%+0.48 +12.2 20
2013-10-27 @ Ararat L 0-235.8 1118 1170 23.33% 29.03% 47.64%-0.48 -12.2 6
2013-10-30 Pyunik W 3-038.6 1173 1229 32.73% 30.28% 36.99%-0.10 +25.0 15
2013-10-30 @ Mika L 0-338.6 1229 1173 36.99% 30.28% 32.73%+0.10 -25.0 16
2013-10-30 Shirak W 2-038.1 1209 1211 40.37% 30.08% 29.54%+0.19 +14.7 16
2013-10-30 @ Gandzasar Kapan L 0-238.1 1211 1209 29.54% 30.08% 40.37%-0.19 -14.6 12
2013-10-30 Ulisses L 1-246.7 1044 1106 32.02% 30.25% 37.73%-0.13 -7.8 3
2013-10-30 @ Alashkert W 2-146.7 1106 1044 37.73% 30.25% 32.02%+0.13 +7.8 9
2013-10-30 Banants D 0-047.1 1183 1120 48.87% 28.76% 22.37%+0.53 -1.5 21
2013-10-30 @ Ararat D 0-047.1 1120 1183 22.37% 28.76% 48.87%-0.53 +1.5 12
2013-11-02 Ararat L 0-145.7 1223 1181 46.30% 29.29% 24.41%+0.42 -10.8 16
2013-11-02 @ Gandzasar Kapan W 1-045.7 1181 1223 24.41% 29.29% 46.30%-0.42 +10.8 24
2013-11-02 Ulisses W 2-142.7 1196 1113 51.37% 28.12% 20.51%+0.64 +5.4 15
2013-11-02 @ Shirak L 1-242.7 1113 1196 20.51% 28.12% 51.37%-0.64 -5.4 9
2013-11-03 Alashkert L 0-245.6 1198 1037 60.31% 24.90% 14.79%+1.06 -25.1 15
2013-11-03 @ Mika W 2-045.6 1037 1198 14.79% 24.90% 60.31%-1.06 +25.1 6
2013-11-03 Banants D 0-047.3 1204 1122 51.28% 28.14% 20.58%+0.64 -1.7 17
2013-11-03 @ Pyunik D 0-047.3 1122 1204 20.58% 28.14% 51.28%-0.64 +1.7 13
2013-11-09 Pyunik W 1-044.5 1108 1202 27.82% 29.89% 42.29%-0.30 +10.1 12
2013-11-09 @ Ulisses L 0-144.5 1202 1108 42.29% 29.89% 27.82%+0.30 -10.1 17
2013-11-09 Shirak L 0-339.2 1192 1201 39.31% 30.17% 30.52%+0.15 -26.1 24
2013-11-09 @ Ararat W 3-039.2 1201 1192 30.52% 30.17% 39.31%-0.15 +26.1 18
2013-11-10 Gandzasar Kapan W 2-151.5 1062 1213 21.74% 28.56% 49.70%-0.60 +10.8 9
2013-11-10 @ Alashkert L 1-251.5 1213 1062 49.70% 28.56% 21.74%+0.60 -10.8 16
2013-11-10 Mika W 2-148.0 1123 1173 33.66% 30.30% 36.03%-0.06 +8.5 16
2013-11-10 @ Banants L 1-248.0 1173 1123 36.03% 30.30% 33.66%+0.06 -8.5 15
2013-11-23 Ararat L 0-335.6 1073 1166 27.90% 29.90% 42.19%-0.30 -20.4 9
2013-11-23 @ Alashkert W 3-035.6 1166 1073 42.19% 29.90% 27.90%+0.30 +20.4 27
2013-11-23 Banants W 2-143.2 1202 1132 49.83% 28.53% 21.65%+0.57 +5.7 19
2013-11-23 @ Gandzasar Kapan L 1-243.2 1132 1202 21.65% 28.53% 49.83%-0.57 -5.7 16
2013-11-24 Shirak L 1-248.0 1192 1228 35.58% 30.31% 34.11%+0.01 -8.4 17
2013-11-24 @ Pyunik W 2-148.0 1228 1192 34.11% 30.31% 35.58%-0.01 +8.4 21
2013-11-24 Ulisses W 2-144.0 1164 1118 46.79% 29.20% 24.02%+0.44 +6.2 18
2013-11-24 @ Mika L 1-244.0 1118 1164 24.02% 29.20% 46.79%-0.44 -6.2 12
2013-11-30 Mika D 1-151.8 1236 1170 49.26% 28.66% 22.07%+0.55 -1.3 22
2013-11-30 @ Shirak D 1-151.8 1170 1236 22.07% 28.66% 49.26%-0.55 +1.3 19
2013-11-30 Pyunik W 2-037.8 1186 1183 41.01% 30.03% 28.96%+0.21 +14.4 30
2013-11-30 @ Ararat L 0-237.8 1183 1186 28.96% 30.03% 41.01%-0.21 -14.4 17
2013-12-01 Alashkert W 7-033.8 1126 1052 50.29% 28.41% 21.30%+0.59 +36.1 19
2013-12-01 @ Banants L 0-733.8 1052 1126 21.30% 28.41% 50.29%-0.59 -36.1 9
2013-12-01 Gandzasar Kapan D 0-046.8 1112 1208 27.59% 29.86% 42.55%-0.31 +0.8 13
2013-12-01 @ Ulisses D 0-046.8 1208 1112 42.55% 29.86% 27.59%+0.31 -0.8 20
2014-03-01 Ararat W 2-147.6 1162 1201 35.19% 30.31% 34.49%-0.01 +8.2 22
2014-03-01 @ Banants L 1-247.6 1201 1162 34.49% 30.31% 35.19%+0.01 -8.2 30
2014-03-01 Mika W 4-035.7 1169 1172 40.25% 30.10% 29.66%+0.18 +27.9 20
2014-03-01 @ Pyunik L 0-435.7 1172 1169 29.66% 30.10% 40.25%-0.18 -27.9 19
2014-03-02 Alashkert L 0-342.4 1113 1016 53.02% 27.63% 19.34%+0.71 -33.0 13
2014-03-02 @ Ulisses W 3-042.4 1016 1113 19.34% 27.63% 53.02%-0.71 +33.0 12
2014-03-02 Gandzasar Kapan D 1-151.5 1235 1207 44.38% 29.61% 26.01%+0.35 -0.9 23
2014-03-02 @ Shirak D 1-151.5 1207 1235 26.01% 29.61% 44.38%-0.35 +0.9 21
2014-03-08 Mika D 1-151.5 1192 1144 47.12% 29.13% 23.75%+0.46 -1.1 31
2014-03-08 @ Ararat D 1-151.5 1144 1192 23.75% 29.13% 47.12%-0.46 +1.1 20
2014-03-08 Ulisses W 2-034.3 1170 1080 52.36% 27.83% 19.81%+0.68 +10.5 25
2014-03-08 @ Banants L 0-234.3 1080 1170 19.81% 27.83% 52.36%-0.68 -10.5 13
2014-03-09 Pyunik D 0-046.9 1208 1197 42.11% 29.91% 27.98%+0.26 -0.7 22
2014-03-09 @ Gandzasar Kapan D 0-046.9 1197 1208 27.98% 29.91% 42.11%-0.26 +0.8 21
2014-03-09 Shirak L 1-241.9 1049 1234 18.82% 27.39% 53.78%-0.78 -5.0 12
2014-03-09 @ Alashkert W 2-141.9 1234 1049 53.78% 27.39% 18.82%+0.78 +5.0 26
2014-03-15 Alashkert W 5-133.4 1198 1044 59.51% 25.25% 15.25%+1.02 +12.8 24
2014-03-15 @ Pyunik L 1-533.4 1044 1198 15.25% 25.25% 59.51%-1.02 -12.8 12
2014-03-15 Ararat L 0-139.0 1069 1191 24.60% 29.33% 46.07%-0.45 -6.7 13
2014-03-15 @ Ulisses W 1-039.0 1191 1069 46.07% 29.33% 24.60%+0.45 +6.7 34
2014-03-15 Gandzasar Kapan D 0-046.7 1145 1207 31.89% 30.25% 37.86%-0.13 +0.3 21
2014-03-15 @ Mika D 0-046.7 1207 1145 37.86% 30.25% 31.89%+0.13 -0.3 23
2014-03-15 Banants L 0-146.2 1239 1181 48.27% 28.89% 22.84%+0.51 -11.2 26
2014-03-15 @ Shirak W 1-046.2 1181 1239 22.84% 28.89% 48.27%-0.51 +11.2 28
2014-03-22 Gandzasar Kapan D 0-046.8 1198 1207 39.43% 30.16% 30.42%+0.15 -0.5 35
2014-03-22 @ Ararat D 0-046.8 1207 1198 30.42% 30.16% 39.43%-0.15 +0.5 24
2014-03-23 Mika L 0-139.3 1031 1145 25.50% 29.52% 44.98%-0.41 -6.9 12
2014-03-23 @ Alashkert W 1-039.3 1145 1031 44.98% 29.52% 25.50%+0.41 +6.9 24
2014-03-23 Pyunik W 1-041.6 1192 1210 38.06% 30.24% 31.70%+0.10 +8.2 31
2014-03-23 @ Banants L 0-141.6 1210 1192 31.70% 30.24% 38.06%-0.10 -8.2 24
2014-03-23 Shirak L 0-234.6 1062 1228 20.44% 28.09% 51.47%-0.68 -10.8 13
2014-03-23 @ Ulisses W 2-034.6 1228 1062 51.47% 28.09% 20.44%+0.68 +10.8 29
2014-03-29 Ararat D 0-047.1 1238 1198 46.09% 29.33% 24.58%+0.42 -1.2 30
2014-03-29 @ Shirak D 0-047.1 1198 1238 24.58% 29.33% 46.09%-0.42 +1.2 36
2014-03-29 Ulisses W 2-032.3 1202 1051 59.21% 25.37% 15.42%+1.00 +8.2 27
2014-03-29 @ Pyunik L 0-232.3 1051 1202 15.42% 25.37% 59.21%-1.00 -8.2 13
2014-04-05 Alashkert W 1-034.3 1199 1024 61.74% 24.25% 14.00%+1.13 +3.9 39
2014-04-05 @ Ararat L 0-134.3 1024 1199 14.00% 24.25% 61.74%-1.13 -3.9 12
2014-04-05 Gandzasar Kapan W 1-041.1 1200 1207 39.67% 30.14% 30.19%+0.16 +7.9 34
2014-04-05 @ Banants L 0-141.1 1207 1200 30.19% 30.14% 39.67%-0.16 -7.9 24
2014-04-05 Mika L 0-139.5 1043 1152 26.07% 29.63% 44.30%-0.38 -7.1 13
2014-04-05 @ Ulisses W 1-039.5 1152 1043 44.30% 29.63% 26.07%+0.38 +7.1 27
2014-04-06 Pyunik W 3-142.3 1237 1210 44.24% 29.63% 26.12%+0.34 +11.5 33
2014-04-06 @ Shirak L 1-342.3 1210 1237 26.12% 29.63% 44.24%-0.34 -11.5 27
2014-04-09 Alashkert L 0-245.9 1199 1020 62.20% 24.04% 13.76%+1.15 -25.7 24
2014-04-09 @ Gandzasar Kapan W 2-045.9 1020 1199 13.76% 24.04% 62.20%-1.15 +25.7 15
2014-04-09 Banants W 2-040.0 1159 1208 33.69% 30.30% 36.01%-0.06 +16.9 30
2014-04-09 @ Mika L 0-240.0 1208 1159 36.01% 30.30% 33.69%+0.06 -16.9 34
2014-04-12 Ararat L 0-144.0 1199 1203 40.10% 30.11% 29.80%+0.18 -9.7 27
2014-04-12 @ Pyunik W 1-044.0 1203 1199 29.80% 30.11% 40.10%-0.18 +9.7 42
2014-04-12 Shirak D 1-151.3 1176 1249 30.48% 30.16% 39.35%-0.19 +0.4 31
2014-04-12 @ Mika D 1-151.3 1249 1176 39.35% 30.16% 30.48%+0.19 -0.4 34
2014-04-13 Ulisses L 0-245.1 1173 1036 57.72% 25.98% 16.30%+0.93 -24.3 24
2014-04-13 @ Gandzasar Kapan W 2-045.1 1036 1173 16.30% 25.98% 57.72%-0.93 +24.3 16
2014-04-13 Banants D 2-256.8 1046 1191 22.28% 28.73% 49.00%-0.57 +1.0 16
2014-04-13 @ Alashkert D 2-256.8 1191 1046 49.00% 28.73% 22.28%+0.57 -1.0 35
2014-04-19 Shirak D 0-046.9 1149 1248 27.20% 29.81% 42.99%-0.33 +0.8 25
2014-04-19 @ Gandzasar Kapan D 0-046.9 1248 1149 42.99% 29.81% 27.20%+0.33 -0.8 35
2014-04-19 Banants L 1-250.2 1212 1190 43.62% 29.72% 26.66%+0.32 -9.7 42
2014-04-19 @ Ararat W 2-150.2 1190 1212 26.66% 29.72% 43.62%-0.32 +9.7 38
2014-04-20 Pyunik W 2-146.5 1176 1189 38.84% 30.20% 30.96%+0.13 +7.6 34
2014-04-20 @ Mika L 1-246.5 1189 1176 30.96% 30.20% 38.84%-0.13 -7.6 27
2014-04-20 Ulisses W 5-139.6 1047 1060 38.75% 30.20% 31.05%+0.13 +24.0 19
2014-04-20 @ Alashkert L 1-539.6 1060 1047 31.05% 30.20% 38.75%-0.13 -24.0 16
2014-04-23 Ararat D 0-047.0 1071 1203 23.63% 29.10% 47.26%-0.50 +1.3 20
2014-04-23 @ Alashkert D 0-047.0 1203 1071 47.26% 29.10% 23.63%+0.50 -1.3 43
2014-04-23 Shirak W 2-148.8 1182 1247 31.38% 30.22% 38.40%-0.15 +8.8 30
2014-04-23 @ Pyunik L 1-248.8 1247 1182 38.40% 30.22% 31.38%+0.15 -8.8 35
2014-04-23 Ulisses W 4-030.0 1184 1036 58.86% 25.52% 15.62%+0.99 +15.8 37
2014-04-23 @ Mika L 0-430.0 1036 1184 15.62% 25.52% 58.86%-0.99 -15.8 16
2014-04-23 Banants W 2-040.1 1150 1200 33.54% 30.30% 36.16%-0.07 +16.9 28
2014-04-23 @ Gandzasar Kapan L 0-240.1 1200 1150 36.16% 30.30% 33.54%+0.07 -16.9 38
2014-04-26 Alashkert W 4-134.7 1239 1072 60.87% 24.65% 14.48%+1.08 +9.4 38
2014-04-26 @ Shirak L 1-434.7 1072 1239 14.48% 24.65% 60.87%-1.08 -9.4 20
2014-04-26 Ararat W 2-038.1 1200 1201 40.42% 30.08% 29.50%+0.19 +14.6 40
2014-04-26 @ Mika L 0-238.1 1201 1200 29.50% 30.08% 40.42%-0.19 -14.6 43
2014-04-27 Gandzasar Kapan D 1-151.4 1190 1167 43.82% 29.70% 26.49%+0.32 -0.8 31
2014-04-27 @ Pyunik D 1-151.4 1167 1190 26.49% 29.70% 43.82%-0.32 +0.8 29
2014-04-27 Banants L 0-137.5 1021 1183 20.68% 28.18% 51.13%-0.67 -5.8 16
2014-04-27 @ Ulisses W 1-037.5 1183 1021 51.13% 28.18% 20.68%+0.67 +5.8 41
2014-04-30 Alashkert W 2-033.1 1189 1063 56.45% 26.47% 17.08%+0.87 +9.1 44
2014-04-30 @ Banants L 0-233.1 1063 1189 17.08% 26.47% 56.45%-0.87 -9.1 20
2014-04-30 Gandzasar Kapan W 1-046.3 1015 1168 21.55% 28.49% 49.96%-0.62 +11.5 19
2014-04-30 @ Ulisses L 0-146.3 1168 1015 49.96% 28.49% 21.55%+0.62 -11.5 29
2014-04-30 Mika W 2-036.8 1248 1215 45.14% 29.49% 25.36%+0.38 +13.0 41
2014-04-30 @ Shirak L 0-236.8 1215 1248 25.36% 29.49% 45.14%-0.38 -13.0 40
2014-04-30 Pyunik D 1-151.3 1187 1190 40.21% 30.10% 29.69%+0.18 -0.5 44
2014-04-30 @ Ararat D 1-151.3 1190 1187 29.69% 30.10% 40.21%-0.18 +0.5 32
2014-05-03 Mika L 1-247.5 1156 1202 34.22% 30.31% 35.46%-0.04 -8.1 29
2014-05-03 @ Gandzasar Kapan W 2-147.5 1202 1156 35.46% 30.31% 34.22%+0.04 +8.1 43
2014-05-03 Pyunik W 5-144.4 1054 1190 23.15% 28.98% 47.87%-0.53 +33.1 23
2014-05-03 @ Alashkert L 1-544.4 1190 1054 47.87% 28.98% 23.15%+0.53 -33.1 32
2014-05-03 Shirak W 3-146.0 1198 1261 31.76% 30.24% 38.00%-0.14 +15.2 47
2014-05-03 @ Banants L 1-346.0 1261 1198 38.00% 30.24% 31.76%+0.14 -15.2 41
2014-05-03 Ulisses L 1-253.6 1186 1026 60.20% 24.95% 14.85%+1.05 -12.5 44
2014-05-03 @ Ararat W 2-153.6 1026 1186 14.85% 24.95% 60.20%-1.05 +12.5 22
2014-05-10 Alashkert D 1-152.3 1210 1087 56.09% 26.60% 17.31%+0.85 -2.0 44
2014-05-10 @ Mika D 1-152.3 1087 1210 17.31% 26.60% 56.09%-0.85 +2.0 24
2014-05-11 Ararat W 2-147.0 1148 1174 37.04% 30.28% 32.68%+0.06 +7.9 32
2014-05-11 @ Gandzasar Kapan L 1-247.0 1174 1148 32.68% 30.28% 37.04%-0.06 -7.9 44
2014-05-11 Ulisses W 3-135.8 1246 1039 65.08% 22.64% 12.29%+1.30 +5.5 44
2014-05-11 @ Shirak L 1-335.8 1039 1246 12.29% 22.64% 65.08%-1.30 -5.5 22
2014-05-11 Banants L 0-141.8 1157 1213 32.69% 30.28% 37.03%-0.10 -8.4 32
2014-05-11 @ Pyunik W 1-041.8 1213 1157 37.03% 30.28% 32.69%+0.10 +8.4 50
2014-05-18 Gandzasar Kapan L 2-351.1 1089 1156 31.21% 30.21% 38.58%-0.16 -7.2 24
2014-05-18 @ Alashkert W 3-251.1 1156 1089 38.58% 30.21% 31.21%+0.16 +7.2 35
2014-05-18 Mika L 2-354.6 1222 1208 42.53% 29.86% 27.61%+0.27 -9.1 50
2014-05-18 @ Banants W 3-254.6 1208 1222 27.61% 29.86% 42.53%-0.27 +9.0 47
2014-05-18 Pyunik W 2-150.4 1033 1149 25.35% 29.49% 45.16%-0.42 +10.0 25
2014-05-18 @ Ulisses L 1-250.4 1149 1033 45.16% 29.49% 25.35%+0.42 -10.0 32
2014-05-18 Shirak L 1-440.7 1166 1251 28.84% 30.01% 41.15%-0.26 -17.6 44
2014-05-18 @ Ararat W 4-140.7 1251 1166 41.15% 30.01% 28.84%+0.26 +17.6 47

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 2014-04-09 13.76% Alashkert 1020 2 @ Gandzasar Kapan 1199 0
2 2013-11-03 14.79% Alashkert 1037 2 @ Mika 1198 0
3 2014-05-03 14.85% Ulisses 1026 2 @ Ararat 1186 1
4 2014-04-13 16.30% Ulisses 1036 2 @ Gandzasar Kapan 1173 0
5 2014-03-02 19.34% Alashkert 1016 3 @ Ulisses 1113 0
6 2014-04-30 21.55% @ Ulisses 1015 1 Gandzasar Kapan 1168 0
7 2013-11-10 21.74% @ Alashkert 1062 2 Gandzasar Kapan 1213 1
8 2013-09-28 22.44% Ararat 1149 1 @ Pyunik 1211 0
9 2014-03-15 22.84% Banants 1181 1 @ Shirak 1239 0
10 2014-05-03 23.15% @ Alashkert 1054 5 Pyunik 1190 1
11 2013-08-24 23.20% Ararat 1093 1 @ Ulisses 1147 0
12 2013-11-02 24.41% Ararat 1181 1 @ Gandzasar Kapan 1223 0
13 2013-09-21 24.52% Pyunik 1190 2 @ Shirak 1232 0
14 2014-05-18 25.35% @ Ulisses 1033 2 Pyunik 1149 1
15 2013-08-04 25.50% Gandzasar Kapan 1184 3 @ Shirak 1216 2
16 2013-10-27 25.79% @ Banants 1110 1 Shirak 1221 0
17 2013-08-18 26.53% Pyunik 1170 3 @ Gandzasar Kapan 1193 2
18 2014-04-19 26.66% Banants 1190 2 @ Ararat 1212 1
19 2013-10-19 26.69% Ararat 1160 1 @ Mika 1182 0
20 2014-05-18 27.61% Mika 1208 3 @ Banants 1222 2
21 2013-11-09 27.82% @ Ulisses 1108 1 Pyunik 1202 0
22 2013-08-31 29.43% @ Ararat 1104 3 Gandzasar Kapan 1185 2
23 2014-04-12 29.80% Ararat 1203 1 @ Pyunik 1199 0
24 2013-11-09 30.52% Shirak 1201 3 @ Ararat 1192 0
25 2014-04-23 31.38% @ Pyunik 1182 2 Shirak 1247 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 2013-12-01 36.14 @ Banants 7 1126 50.29% Alashkert 0 1052 21.30% 28.41%
2 2013-09-21 34.45 @ Ararat 5 1114 40.13% Alashkert 0 1118 29.77% 30.10%
3 2014-05-03 33.09 @ Alashkert 5 1054 23.15% Pyunik 1 1190 47.87% 28.98%
4 2014-03-02 32.98 Alashkert 3 1016 19.34% @ Ulisses 0 1113 53.02% 27.63%
5 2013-10-27 29.39 Pyunik 5 1199 46.46% @ Alashkert 0 1074 24.28% 29.26%
6 2013-09-14 28.74 @ Gandzasar Kapan 9 1176 44.57% Alashkert 2 1147 25.85% 29.58%
7 2014-03-01 27.88 @ Pyunik 4 1169 40.25% Mika 0 1172 29.66% 30.10%
8 2013-11-09 26.13 Shirak 3 1201 30.52% @ Ararat 0 1192 39.31% 30.17%
9 2014-04-09 25.73 Alashkert 2 1020 13.76% @ Gandzasar Kapan 0 1199 62.20% 24.04%
10 2013-11-03 25.14 Alashkert 2 1037 14.79% @ Mika 0 1198 60.31% 24.90%
11 2013-10-30 25.00 @ Mika 3 1173 32.73% Pyunik 0 1229 36.99% 30.28%
12 2014-04-13 24.30 Ulisses 2 1036 16.30% @ Gandzasar Kapan 0 1173 57.72% 25.98%
13 2014-04-20 24.03 @ Alashkert 5 1047 38.75% Ulisses 1 1060 31.05% 30.20%
14 2013-08-31 21.51 Shirak 3 1212 39.89% @ Ulisses 0 1136 29.98% 30.12%
15 2013-11-23 20.38 Ararat 3 1166 42.19% @ Alashkert 0 1073 27.90% 29.90%
16 2013-09-21 20.33 Pyunik 2 1190 24.52% @ Shirak 0 1232 46.17% 29.31%
17 2014-05-18 17.62 Shirak 4 1251 41.15% @ Ararat 1 1166 28.84% 30.01%
18 2014-04-23 16.94 @ Gandzasar Kapan 2 1150 33.54% Banants 0 1200 36.16% 30.30%
19 2014-04-09 16.89 @ Mika 2 1159 33.69% Banants 0 1208 36.01% 30.30%
20 2014-04-23 15.81 @ Mika 4 1184 58.86% Ulisses 0 1036 15.62% 25.52%
21 2014-05-03 15.20 @ Banants 3 1198 31.76% Shirak 1 1261 38.00% 30.24%
22 2013-10-30 14.65 @ Gandzasar Kapan 2 1209 40.37% Shirak 0 1211 29.54% 30.08%
23 2014-04-26 14.64 @ Mika 2 1200 40.42% Ararat 0 1201 29.50% 30.08%
24 2013-11-30 14.44 @ Ararat 2 1186 41.01% Pyunik 0 1183 28.96% 30.03%
25 2014-04-30 13.02 @ Shirak 2 1248 45.14% Mika 0 1215 25.36% 29.49%

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 2013-09-14 60.6 @ Pyunik 3 1191 50.70% Ulisses 3 1114 21.00% 28.30%
2 2014-04-13 56.8 @ Alashkert 2 1046 22.28% Banants 2 1191 49.00% 28.73%
3 2013-10-20 56.6 @ Pyunik 2 1199 39.21% Gandzasar Kapan 2 1210 30.61% 30.17%
4 2013-08-31 56.5 @ Banants 2 1115 29.96% Pyunik 2 1192 39.92% 30.12%
5 2013-09-28 56.5 @ Mika 2 1182 36.50% Shirak 2 1211 33.21% 30.29%
6 2013-09-29 56.4 @ Alashkert 2 1084 35.83% Banants 2 1118 33.86% 30.31%
7 2013-08-04 55.2 Gandzasar Kapan 3 1184 25.50% @ Shirak 2 1216 44.98% 29.52%
8 2013-08-18 54.8 Pyunik 3 1170 26.53% @ Gandzasar Kapan 2 1193 43.77% 29.70%
9 2014-05-18 54.6 Mika 3 1208 27.61% @ Banants 2 1222 42.53% 29.86%
10 2013-08-31 53.9 @ Ararat 3 1104 29.43% Gandzasar Kapan 2 1185 40.49% 30.07%
11 2014-05-03 53.6 Ulisses 2 1026 14.85% @ Ararat 1 1186 60.20% 24.95%
12 2013-09-14 52.3 @ Shirak 1 1234 55.91% Ararat 1 1112 17.42% 26.66%
13 2014-05-10 52.3 @ Mika 1 1210 56.09% Alashkert 1 1087 17.31% 26.60%
14 2013-11-30 51.8 @ Shirak 1 1236 49.26% Mika 1 1170 22.07% 28.66%
15 2013-10-27 51.5 @ Gandzasar Kapan 1 1210 45.76% Mika 1 1172 24.85% 29.39%
16 2013-11-10 51.5 @ Alashkert 2 1062 21.74% Gandzasar Kapan 1 1213 49.70% 28.56%
17 2014-03-02 51.5 @ Shirak 1 1235 44.38% Gandzasar Kapan 1 1207 26.01% 29.61%
18 2014-03-08 51.5 @ Ararat 1 1192 47.12% Mika 1 1144 23.75% 29.13%
19 2014-04-27 51.4 @ Pyunik 1 1190 43.82% Gandzasar Kapan 1 1167 26.49% 29.70%
20 2013-08-04 51.3 @ Pyunik 1 1171 41.16% Mika 1 1167 28.83% 30.01%
21 2014-04-12 51.3 @ Mika 1 1176 30.48% Shirak 1 1249 39.35% 30.16%
22 2014-04-30 51.3 @ Ararat 1 1187 40.21% Pyunik 1 1190 29.69% 30.10%
23 2013-08-03 51.2 @ Ulisses 1 1155 38.97% Alashkert 1 1167 30.84% 30.19%
24 2013-08-18 51.2 @ Alashkert 1 1168 35.08% Shirak 1 1207 34.60% 30.31%
25 2013-08-25 51.2 @ Mika 1 1176 39.43% Gandzasar Kapan 1 1184 30.41% 30.16%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2014-04-23 30.0 @ Mika 4 1184 58.86% Ulisses 0 1036 15.62% 25.52%
2 2014-03-29 32.3 @ Pyunik 2 1202 59.21% Ulisses 0 1051 15.42% 25.37%
3 2014-04-30 33.1 @ Banants 2 1189 56.45% Alashkert 0 1063 17.08% 26.47%
4 2014-03-15 33.4 @ Pyunik 5 1198 59.51% Alashkert 1 1044 15.25% 25.25%
5 2013-12-01 33.8 @ Banants 7 1126 50.29% Alashkert 0 1052 21.30% 28.41%
6 2013-10-27 34.0 Pyunik 5 1199 46.46% @ Alashkert 0 1074 24.28% 29.26%
7 2014-03-08 34.3 @ Banants 2 1170 52.36% Ulisses 0 1080 19.81% 27.83%
8 2014-04-05 34.3 @ Ararat 1 1199 61.74% Alashkert 0 1024 14.00% 24.25%
9 2014-03-23 34.6 Shirak 2 1228 51.47% @ Ulisses 0 1062 20.44% 28.09%
10 2014-04-26 34.7 @ Shirak 4 1239 60.87% Alashkert 1 1072 14.48% 24.65%
11 2013-11-23 35.6 Ararat 3 1166 42.19% @ Alashkert 0 1073 27.90% 29.90%
12 2014-03-01 35.7 @ Pyunik 4 1169 40.25% Mika 0 1172 29.66% 30.10%
13 2013-10-27 35.8 @ Ararat 2 1170 47.64% Ulisses 0 1118 23.33% 29.03%
14 2014-05-11 35.8 @ Shirak 3 1246 65.08% Ulisses 1 1039 12.29% 22.64%
15 2013-09-21 35.9 @ Ararat 5 1114 40.13% Alashkert 0 1118 29.77% 30.10%
16 2013-08-31 36.4 Shirak 3 1212 39.89% @ Ulisses 0 1136 29.98% 30.12%
17 2014-04-30 36.8 @ Shirak 2 1248 45.14% Mika 0 1215 25.36% 29.49%
18 2013-09-14 37.1 @ Gandzasar Kapan 9 1176 44.57% Alashkert 2 1147 25.85% 29.58%
19 2013-09-27 37.3 @ Gandzasar Kapan 1 1204 52.08% Ulisses 0 1115 20.01% 27.92%
20 2014-04-27 37.5 Banants 1 1183 51.13% @ Ulisses 0 1021 20.68% 28.18%
21 2013-11-30 37.8 @ Ararat 2 1186 41.01% Pyunik 0 1183 28.96% 30.03%
22 2013-10-30 38.1 @ Gandzasar Kapan 2 1209 40.37% Shirak 0 1211 29.54% 30.08%
23 2014-04-26 38.1 @ Mika 2 1200 40.42% Ararat 0 1201 29.50% 30.08%
24 2013-10-19 38.5 @ Shirak 5 1212 56.69% Alashkert 2 1083 16.93% 26.38%
25 2013-10-30 38.6 @ Mika 3 1173 32.73% Pyunik 0 1229 36.99% 30.28%