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2015-16 Gibraltar Premier Division Season

135 games

Final

Champion

Lincoln Red Imps

76 points · 22nd Title

Last Title: 2014-15

Relegated

No relegation

Biggest Overachiever

Lions Gibraltar

13.11 points above expected

45 points · 31.89 expected points

Biggest Disappointment

Lynx

9.89 points below expected

35 points · 44.89 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 Lincoln Red Imps Champion 27 25 1 1 76 130 9 +121 70.69 +5.31
2 Europa 27 21 2 4 65 82 18 +64 60.92 +4.08
3 St. Joseph's 27 14 3 10 45 50 37 +13 49.54 -4.54
4 Lions Gibraltar 27 14 3 10 45 49 44 +5 31.89 +13.11
5 Lynx 27 11 2 14 35 37 40 -3 44.89 -9.89
6 Manchester 62 27 9 5 13 32 41 49 -8 35.15 -3.15
7 Glacis United 27 10 2 15 32 40 67 -27 25.29 +6.71
8 Gibraltar United 27 9 2 16 29 28 57 -29 29.08 -0.08
9 Britannia 27 8 2 17 26 35 84 -49 28.25 -2.25
10 Angels 27 3 0 24 9 20 107 -87 18.02 -9.02

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 Lions Gibraltar 45 31.89 +13.11
2 Glacis United 32 25.29 +6.71
3 Lincoln Red Imps 76 70.69 +5.31
4 Europa 65 60.92 +4.08
5 Gibraltar United 29 29.08 -0.08

Biggest Disappointments

# Team Actual Sim vsSim
1 Lynx 35 44.89 -9.89
2 Angels 9 18.02 -9.02
3 St. Joseph's 45 49.54 -4.54
4 Manchester 62 32 35.15 -3.15
5 Britannia 26 28.25 -2.25

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 Glacis United 4 Feb 20 – Mar 12 1 in 93
2 Lions Gibraltar 4 Oct 17 – Nov 16 1 in 47
3 Britannia 3 Dec 19 – Jan 9 1 in 34
4 Manchester 62 3 Jan 3 – Jan 16 1 in 23
5 Lincoln Red Imps 17 Oct 3 – Feb 22 1 in 21

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Lions Gibraltar 3 Jan 2 – Jan 18 1 in 368
2 Britannia 8 Jan 16 – Apr 2 1 in 157
3 Angels 8 Sep 26 – Nov 23 1 in 110
4 Lynx 6 Apr 2 – May 14 1 in 72
5 Manchester 62 5 Oct 31 – Nov 28 1 in 35

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Manchester 62 4 Jan 3 – Jan 23 1 in 47
2 Lions Gibraltar 5 Oct 17 – Nov 21 1 in 44
3 Glacis United 4 Feb 20 – Mar 12 1 in 28
4 Europa 9 Sep 28 – Nov 29 1 in 20
5 Britannia 3 Oct 24 – Nov 7 1 in 18

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Manchester 62 8 Oct 31 – Dec 19 1 in 87
2 Lions Gibraltar 3 Jan 2 – Jan 18 1 in 83
3 Britannia 8 Jan 16 – Apr 2 1 in 43
4 Angels 8 Sep 26 – Nov 23 1 in 32
5 Lynx 6 Apr 2 – May 14 1 in 25

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
Lincoln Red Imps 1486 76 +42 15 13.6 +1.4
Europa 1317 65 +13 12 12.9 -0.9
Lions Gibraltar 1010 45 +206 13 5.1 +7.9
St. Joseph's 1065 45 +23 7 6.7 +0.3
Lynx 877 35 -158 0 6.7 -6.7
Glacis United 986 32 +9 10 9.1 +0.9
Manchester 62 992 32 -3 5 7.1 -2.1
Gibraltar United 898 29 +25 7 6.0 +1.0
Britannia 662 26 -79 3 3.5 -0.5
Angels 563 9 -79 0 2.2 -2.2

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 ANG BRI EUR GU GU LRI LG LYN M6 SJ
Angels —
0-0-3
2.74
0-0-3
0.57
1-0-2
2.34
1-0-2
3.07
0-0-3
0.35
0-0-3
3.36
0-0-3
2.15
0-0-3
2.48
1-0-2
2.01
Britannia
3-0-0
6.01
 —
0-0-3
0.95
1-1-1
3.69
1-0-2
4.89
0-0-3
0.44
0-0-3
4.31
1-0-2
1.71
1-0-2
3.59
1-1-1
2.08
Europa
3-0-0
8.19
3-0-0
7.80
 —
3-0-0
7.12
2-0-1
7.99
1-1-1
2.43
2-0-1
7.47
3-0-0
6.33
2-1-0
7.19
2-0-1
6.29
Gibraltar United
2-0-1
6.40
1-1-1
5.05
0-0-3
1.63
 —
2-0-1
4.43
0-0-3
0.83
2-0-1
3.00
1-0-2
2.65
1-1-1
3.40
0-0-3
2.24
Glacis United
2-0-1
5.67
2-0-1
3.85
1-0-2
0.76
1-0-2
4.32
 —
0-0-3
0.51
1-0-2
3.24
2-0-1
2.24
1-1-1
2.47
0-1-2
1.91
Lincoln Red Imps
3-0-0
8.41
3-0-0
8.32
1-1-1
6.31
3-0-0
7.92
3-0-0
8.25
 —
3-0-0
7.93
3-0-0
7.57
3-0-0
8.08
3-0-0
7.53
Lions Gibraltar
3-0-0
5.38
3-0-0
4.43
1-0-2
1.28
1-0-2
5.74
2-0-1
5.50
0-0-3
0.82
 —
2-1-0
3.12
1-1-1
3.80
1-1-1
2.31
Lynx
3-0-0
6.59
2-0-1
7.03
0-0-3
2.42
2-0-1
6.09
1-0-2
6.50
0-0-3
1.18
0-1-2
5.62
 —
2-1-0
6.05
1-0-2
3.13
Manchester 62
3-0-0
6.27
2-0-1
5.15
0-1-2
1.56
1-1-1
5.34
1-1-1
6.28
0-0-3
0.68
1-1-1
4.95
0-1-2
2.70
 —
1-0-2
2.12
St. Joseph's
2-0-1
6.74
1-1-1
6.67
1-0-2
2.46
3-0-0
6.51
2-1-0
6.84
0-0-3
1.21
1-1-1
6.44
2-0-1
5.61
2-0-1
6.62
 —

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 0.88 +5.6
Allowed 0.86 -6.2
Differential 0.97 +3.3

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
0—7.41%7.41%5.56%4.81%4.44%29.63%
17.41%5.19%4.44%3.33%1.85%3.33%25.56%
27.41%4.44%2.96%1.48%0.37%—16.67%
35.56%3.33%1.48%—0.74%0.74%11.85%
44.81%1.85%0.37%0.74%——7.78%
5+4.44%3.33%—0.74%——8.52%
Total29.63%25.56%16.67%11.85%7.78%8.52%100%

Summary Statistics

Scored Allowed Difference
Mean 1.90 1.90 +0.00
SD 2.29 2.29 3.72
CV 1.21 1.21 —
Max 16 16 +15
Min 0 0 -15

Games Played: 135

↓ Scored | Allowed →012345+Total
0—3.70%3.70%22.22%3.70%11.11%44.44%
13.70%—11.11%3.70%3.70%18.52%40.74%
23.70%3.70%—3.70%——11.11%
3————3.70%—3.70%
4———————
5+———————
Total7.41%7.41%14.81%29.63%11.11%29.63%100%

Summary Statistics

Scored Allowed Difference
Mean 0.74 3.96 -3.22
SD 0.81 3.16 3.37
CV 1.10 0.80 —
Max 3 13 +2
Min 0 0 -13

Games Played: 27

↓ Scored | Allowed →012345+Total
0—14.81%11.11%—7.41%7.41%40.74%
1—7.41%——7.41%7.41%22.22%
23.70%——7.41%——11.11%
311.11%7.41%————18.52%
4———7.41%——7.41%
5+———————
Total14.81%29.63%11.11%14.81%14.81%14.81%100%

Summary Statistics

Scored Allowed Difference
Mean 1.30 3.11 -1.81
SD 1.38 3.67 4.22
CV 1.07 1.18 —
Max 4 16 +3
Min 0 0 -15

Games Played: 27

↓ Scored | Allowed →012345+Total
0—7.41%3.70%———11.11%
13.70%7.41%—3.70%——14.81%
222.22%11.11%————33.33%
311.11%3.70%3.70%———18.52%
43.70%3.70%————7.41%
5+7.41%7.41%————14.81%
Total48.15%40.74%7.41%3.70%——100%

Summary Statistics

Scored Allowed Difference
Mean 3.04 0.67 +2.37
SD 3.31 0.78 3.45
CV 1.09 1.18 —
Max 16 3 +15
Min 0 0 -2

Games Played: 27

↓ Scored | Allowed →012345+Total
0—3.70%14.81%7.41%7.41%7.41%40.74%
114.81%3.70%3.70%14.81%——37.04%
23.70%7.41%3.70%———14.81%
3—3.70%————3.70%
4———————
5+—3.70%————3.70%
Total18.52%22.22%22.22%22.22%7.41%7.41%100%

Summary Statistics

Scored Allowed Difference
Mean 1.04 2.11 -1.07
SD 1.45 1.76 2.69
CV 1.40 0.83 —
Max 7 7 +6
Min 0 0 -7

Games Played: 27

↓ Scored | Allowed →012345+Total
0—7.41%11.11%7.41%—11.11%37.04%
111.11%3.70%3.70%—3.70%3.70%25.93%
23.70%3.70%3.70%———11.11%
33.70%3.70%3.70%——7.41%18.52%
4———————
5+3.70%3.70%————7.41%
Total22.22%22.22%22.22%7.41%3.70%22.22%100%

Summary Statistics

Scored Allowed Difference
Mean 1.48 2.48 -1.00
SD 1.72 2.61 3.50
CV 1.16 1.05 —
Max 6 11 +6
Min 0 0 -11

Games Played: 27

↓ Scored | Allowed →012345+Total
0——3.70%———3.70%
13.70%3.70%————7.41%
214.81%—————14.81%
33.70%—3.70%———7.41%
429.63%3.70%————33.33%
5+22.22%11.11%————33.33%
Total74.07%18.52%7.41%———100%

Summary Statistics

Scored Allowed Difference
Mean 4.81 0.33 +4.48
SD 3.44 0.62 3.57
CV 0.71 1.86 —
Max 13 2 +13
Min 0 0 -2

Games Played: 27

↓ Scored | Allowed →012345+Total
0—7.41%7.41%3.70%3.70%3.70%25.93%
111.11%7.41%3.70%3.70%—3.70%29.63%
23.70%3.70%3.70%———11.11%
37.41%3.70%3.70%———14.81%
43.70%7.41%————11.11%
5+3.70%——3.70%——7.41%
Total29.63%29.63%18.52%11.11%3.70%7.41%100%

Summary Statistics

Scored Allowed Difference
Mean 1.81 1.63 +0.19
SD 1.71 1.80 2.84
CV 0.94 1.10 —
Max 6 7 +5
Min 0 0 -6

Games Played: 27

↓ Scored | Allowed →012345+Total
0—14.81%3.70%3.70%7.41%—29.63%
17.41%3.70%14.81%—3.70%—29.63%
27.41%11.11%3.70%—3.70%—25.93%
37.41%3.70%————11.11%
4———————
5+3.70%—————3.70%
Total25.93%33.33%22.22%3.70%14.81%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.37 1.48 -0.11
SD 1.36 1.34 2.29
CV 0.99 0.91 —
Max 6 4 +6
Min 0 0 -4

Games Played: 27

↓ Scored | Allowed →012345+Total
0—7.41%7.41%3.70%14.81%3.70%37.04%
111.11%7.41%3.70%3.70%——25.93%
23.70%—11.11%3.70%——18.52%
33.70%—————3.70%
4—3.70%————3.70%
5+3.70%7.41%————11.11%
Total22.22%25.93%22.22%11.11%14.81%3.70%100%

Summary Statistics

Scored Allowed Difference
Mean 1.52 1.81 -0.30
SD 1.83 1.49 2.87
CV 1.20 0.82 —
Max 6 5 +6
Min 0 0 -5

Games Played: 27

↓ Scored | Allowed →012345+Total
0—7.41%7.41%7.41%3.70%—25.93%
17.41%7.41%3.70%3.70%——22.22%
27.41%3.70%3.70%———14.81%
37.41%7.41%——3.70%—18.52%
411.11%—3.70%———14.81%
5+———3.70%——3.70%
Total33.33%25.93%18.52%14.81%7.41%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.85 1.37 +0.48
SD 1.56 1.31 2.29
CV 0.84 0.95 —
Max 5 4 +4
Min 0 0 -4

Games Played: 27

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
Lincoln Red Imps 1486 76 70.69 +5.31 91.0% 57 62 66 71 74 78 81
Europa 1317 65 60.92 +4.08 83.0% 45 52 58 61 64 68 71
St. Joseph's 1065 45 49.54 -4.54 28.0% 31 39 45 50 54 59 61
Lions Gibraltar 1010 45 31.89 +13.11 96.0% 21 22 28 31 35 43 51
Manchester 62 992 32 35.15 -3.15 37.0% 20 23 29 36 40 46 54
Glacis United 986 32 25.29 +6.71 85.0% 13 15 21 25 29 34 42
Gibraltar United 898 29 29.08 -0.08 53.0% 16 18 23 28 35 39 45
Lynx 877 35 44.89 -9.89 7.0% 28 33 41 45 49 55 63
Britannia 662 26 28.25 -2.25 40.0% 17 20 23 27 33 39 45
Angels 563 9 18.02 -9.02 6.0% 5 9 14 18 22 27 28

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 -4.5% * Slight Edge: -4.5% to 3% * Clear Edge: 3% to 8% * Strong Edge: 8% 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
-5.93%
No Edge
42.96%8.15%48.89%
Elo Value
Home Edge: -20.61 Elo pts.
129 Elo
0.008 goals per Elo point
0400
Scoring Tilt
Expected
+0.18 goals
Neutral
-2-0.16+2

Title Race

How these are measured

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

Title-Race Openness
Effective number of teams with a live shot at finishing 1st, from the simulation. 1 means the favorite is a near-lock; larger means a wide-open race. Equal to 1 divided by the sum of squared title odds.
One-Team Race: under 2 * Top-Heavy: 2 to 3 * Open: 3 to 4 * Wide Open: 4 and up.
Champion Preseason Odds
Preseason probability that the eventual champion would finish 1st, from the simulation. The dot marks their rank across all teams, from longshot to favorite.
Preseason Favorite: 1st * Among the Favorites: 2nd * Middle of the Pack: 3rd to 5th * Longshot: 6th or lower.
Title Margin
Points-per-game gap between the champion and the runner-up. Shown per game so it reads the same across long and short seasons. The gold line is the winning margin the model expected, so a dot to the right means a more one-sided race than projected. A title won on goal difference shows 0.00.
Photo Finish: under 0.15 * Tight Race: 0.15 to 0.33 * Comfortable: 0.33 to 0.75 * Runaway: 0.75 and up.
Title-Race Openness
1.2
One-Team Race
123410
Champion Preseason Odds
92%
Lincoln Red Imps, 1st of 10
LongshotFavorite
Title Margin
Expected
0.41/gm
Comfortable
00.370.6/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 4.85 * Some Luck: 4.85 to 7.27 * Lucky: 7.27 to 9.69 * Wild Swing: 9.69 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 0.64 * Close: 0.64 to 0.95 * Off: 0.95 to 1.27 * Way Off: 1.27 and up.
Biggest Overachiever
The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 10 typically lands.
Biggest Underachiever
The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 10 typically lands.
Season Outliers
Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 10 * As Expected: 10 to 16 * Several Outliers: 16 to 22 * Many Outliers: 22 and up.
Luck Spread
Expected
6.90 points
Some Luck
06.0615
Average Finish Error
Expected
0.80
Close
00.792
Biggest Overachiever
Expected 95.00%
96.00%
Lions Gibraltar
50100
Biggest Underachiever
Expected 5.00%
6.00%
Angels
050
Season Outliers
Expected
1 of 10
Minimal Outliers
01.010

Parity

How these are measured

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

Gini Index
How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.26 * Even: 0.26 to 0.28 * Top-Heavy: 0.28 to 0.3 * Lopsided: 0.3 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 2.4 * Strong Separation: 2.4 to 2.65 * Wide Separation: 2.65 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 75% * Slight Edge: 75% to 88% * Clear Edge: 88% to 93.5% * Wide Edge: 93.5% and up.
Best vs. Worst
Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 97% * Clear Edge: 97% to 99% * Strong Edge: 99% to 99.5% * Dominant: 99.5% and up.
Close Games
Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 38.5% * Some Drama: 38.5% to 44% * Frequent: 44% to 48.5% * Very Frequent: 48.5% 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 30.5% * Occasional: 30.5% to 36% * Frequent: 36% to 42% * Very Frequent: 42% and up.
Gini Index
0.25
Balanced
00.260.5
Noll-Scully
Elo SD: 272.98
2.59
Strong Separation
12.252.653.25
Interquartile Edge
73%
Even
50%75%88%100%
Best vs. Worst
Baseline 99%
100%
Dominant
50%100%
Close Games
Expected
36%
Few
0%31%100%
Blowouts
Expected
41%
Frequent
0%50%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 0.52 * Slight Separation: 0.52 to 0.58 * Notable Separation: 0.58 to 0.61 * Lopsided: 0.61 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 0.3 * Some Carryover: 0.3 to 0.46 * Strong Carryover: 0.46 to 0.68 * Near-Lock: 0.68 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 14.5% * As Expected: 14.5% to 20% * Upset-Prone: 20% to 21.5% * Very Upset-Prone: 21.5% and up.
Clear Favorite Upset Rate
Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 12% * As Expected: 12% to 15% * Shaky Favorites: 15% to 18% * Very Shaky: 18% and up.
Brier Score
Expected
0.44
Highly Predictable
00.402
Matchup Imbalance
0.58
Slight Separation
00.5
Strangeness
Expected
1.34
Wilder Than Modeled
01.002
Repeatability
0.54
Strong Carryover
00.30.460.681
Upset Rate
Expected
23%
Very Upset-Prone
0%19%50%
Clear Favorite Upset Rate
Expected
21%
Very Shaky
0%17%50%

Calibration

How these are measured

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

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.12 * Near Noise Ceiling: 0.12 to 0.18 * Above Noise: 0.18 to 0.24 * Well Above Noise: 0.24 and up.
Probability calibration
0.95
Excellent
0.010.050.10.51
Calibration slope
Ideal
0.78
Overconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.086
Well Within Noise
00.1200.3

Final Table Odds

Each cell is the probability — across 100,000 simulations — that the team (row) finished at that position (column). Rows are sorted by actual finish (champion at top, bottom of the table at the bottom).

Team12345678910
Lincoln Red Imps92.00%7.00%1.00%———————
Europa8.00%86.00%4.00%2.00%——————
St. Joseph's—6.00%63.00%20.00%9.00%2.00%————
Lions Gibraltar——1.00%6.00%21.00%19.00%32.00%15.00%5.00%1.00%
Lynx—1.00%28.00%48.00%13.00%6.00%3.00%1.00%——
Manchester 62——2.00%17.00%28.00%24.00%16.00%8.00%5.00%—
Glacis United————8.00%9.00%13.00%25.00%31.00%14.00%
Gibraltar United———7.00%13.00%22.00%13.00%16.00%23.00%6.00%
Britannia——1.00%—8.00%17.00%18.00%26.00%21.00%9.00%
Angels—————1.00%5.00%9.00%15.00%70.00%

Points Required Per Position

The empirical CDF of simulated point totals per finishing position. Each curve shows, for one position (1st, 2nd, ..., last), the spread of point totals teams accumulated across simulations. Reading the curve at the 50% mark gives the median points typically needed to finish at that position. Steep curves mean the position is tightly clustered around a particular point range; shallow curves mean the position came with a wide variety of point totals.

Next-Season Status

Across 100,000 regular-season simulations, the probability of each team's next-season status. Columns appear in best-to-worst outcome order: promotion-positive on the left, relegation-positive on the right. Cells with darker shading indicate higher likelihood.

Team Same level Qualified for relegation playoff Direct relegation
Europa 100% — —
Lincoln Red Imps 100% — —
Lynx 100% — —
Manchester 62 95.00% 5.00% —
St. Joseph's 100% — —
Lions Gibraltar 94.00% 5.00% 1.00%
Gibraltar United 71.00% 23.00% 6.00%
Britannia 70.00% 21.00% 9.00%
Glacis United 55.00% 31.00% 14.00%
Angels 15.00% 15.00% 70.00%

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
2015-09-25 Lions Gibraltar D 1-156.6 1053 766 77.68% 8.54% 13.78%+2.06 -8.2 1
2015-09-25 @ St. Joseph's D 1-156.6 766 1053 13.78% 8.54% 77.68%-2.06 +8.2 1
2015-09-26 Glacis United W 1-035.2 951 791 66.44% 8.61% 24.95%+1.08 +13.4 3
2015-09-26 @ Manchester 62 L 0-135.2 791 951 24.95% 8.61% 66.44%-1.08 -13.4 0
2015-09-26 Lynx L 1-243.5 1036 1065 41.53% 8.64% 49.83%-0.39 -20.3 0
2015-09-26 @ Angels W 2-143.5 1065 1036 49.83% 8.64% 41.53%+0.39 +20.3 3
2015-09-27 Gibraltar United D 1-156.6 780 1036 16.04% 8.56% 75.40%-2.14 +7.6 1
2015-09-27 @ Britannia D 1-156.6 1036 780 75.40% 8.56% 16.04%+2.14 -7.6 1
2015-09-28 Lincoln Red Imps D 1-156.8 1106 1274 24.10% 8.61% 67.30%-1.46 +5.5 1
2015-09-28 @ Europa D 1-156.8 1274 1106 67.30% 8.61% 24.10%+1.46 -5.5 1
2015-10-01 Angels W 4-036.8 1045 1015 49.83% 8.64% 41.52%+0.07 +77.2 4
2015-10-01 @ St. Joseph's L 0-436.8 1015 1045 41.52% 8.64% 49.83%-0.07 -77.2 0
2015-10-02 Manchester 62 D 2-260.2 1085 964 61.92% 8.62% 29.46%+0.78 -3.0 4
2015-10-02 @ Lynx D 2-260.2 964 1085 29.46% 8.62% 61.92%-0.78 +3.0 4
2015-10-03 Europa L 0-236.8 1028 1111 34.21% 8.63% 57.16%-0.80 -34.0 1
2015-10-03 @ Gibraltar United W 2-036.8 1111 1028 57.16% 8.63% 34.21%+0.80 +34.0 4
2015-10-03 Lincoln Red Imps L 0-227.8 774 1268 4.63% 8.33% 87.04%-3.99 -4.9 1
2015-10-03 @ Lions Gibraltar W 2-027.8 1268 774 87.04% 8.33% 4.63%+3.99 +4.9 4
2015-10-14 Britannia L 0-338.6 777 787 44.26% 8.64% 47.10%-0.24 -62.6 0
2015-10-14 @ Glacis United W 3-038.6 787 777 47.10% 8.64% 44.26%+0.24 +62.6 4
2015-10-16 Gibraltar United W 7-027.0 1273 994 77.12% 8.54% 14.34%+2.00 +47.7 7
2015-10-16 @ Lincoln Red Imps L 0-727.0 994 1273 14.34% 8.54% 77.12%-2.00 -47.7 1
2015-10-17 Lions Gibraltar L 0-345.5 938 769 67.39% 8.61% 24.00%+1.15 -93.6 0
2015-10-17 @ Angels W 3-045.5 769 938 24.00% 8.61% 67.39%-1.15 +93.6 4
2015-10-17 St. Joseph's L 0-135.4 967 1122 25.59% 8.61% 65.80%-1.36 -13.7 4
2015-10-17 @ Manchester 62 W 1-035.4 1122 967 65.80% 8.61% 25.59%+1.36 +13.7 7
2015-10-18 Lynx L 0-133.1 850 1082 17.98% 8.57% 73.45%-1.96 -9.8 4
2015-10-18 @ Britannia W 1-033.1 1082 850 73.45% 8.57% 17.98%+1.96 +9.8 7
2015-10-19 Glacis United W 6-024.9 1145 715 85.04% 8.41% 6.55%+3.18 +19.1 7
2015-10-19 @ Europa L 0-624.9 715 1145 6.55% 8.41% 85.04%-3.18 -19.1 0
2015-10-23 Europa L 1-241.8 1092 1164 35.62% 8.64% 55.74%-0.72 -17.7 7
2015-10-23 @ Lynx W 2-141.8 1164 1092 55.74% 8.64% 35.62%+0.72 +17.6 10
2015-10-24 Britannia D 1-156.6 1135 840 78.25% 8.53% 13.22%+2.13 -8.4 8
2015-10-24 @ St. Joseph's D 1-156.6 840 1135 13.22% 8.53% 78.25%-2.13 +8.4 5
2015-10-24 Lincoln Red Imps L 1-627.2 696 1321 2.24% 8.15% 89.61%-5.01 -4.6 0
2015-10-24 @ Glacis United W 6-127.2 1321 696 89.61% 8.15% 2.24%+5.01 +4.6 10
2015-10-25 Manchester 62 L 1-537.1 845 954 30.89% 8.63% 60.49%-1.01 -48.8 0
2015-10-25 @ Angels W 5-137.1 954 845 60.49% 8.63% 30.89%+1.01 +48.9 7
2015-10-29 St. Joseph's W 2-038.0 1182 1127 53.39% 8.64% 37.97%+0.26 +37.5 13
2015-10-29 @ Europa L 0-238.0 1127 1182 37.97% 8.64% 53.39%-0.26 -37.5 8
2015-10-31 Angels W 3-141.6 849 796 53.11% 8.64% 38.25%+0.25 +32.7 8
2015-10-31 @ Britannia L 1-341.6 796 849 38.25% 8.64% 53.11%-0.25 -32.7 0
2015-10-31 Lions Gibraltar L 2-354.0 1003 863 64.16% 8.62% 27.22%+0.92 -29.1 7
2015-10-31 @ Manchester 62 W 3-254.0 863 1003 27.22% 8.62% 64.16%-0.92 +29.1 7
2015-11-02 Lynx W 4-029.4 1325 1074 75.01% 8.56% 16.43%+1.79 +32.1 13
2015-11-02 @ Lincoln Red Imps L 0-429.4 1074 1325 16.43% 8.56% 75.01%-1.79 -32.1 7
2015-11-06 Glacis United W 5-029.7 892 691 70.59% 8.59% 20.82%+1.40 +49.7 10
2015-11-06 @ Lions Gibraltar L 0-529.7 691 892 20.82% 8.59% 70.59%-1.40 -49.7 0
2015-11-07 Britannia L 0-244.0 973 881 58.37% 8.63% 33.00%+0.56 -55.9 7
2015-11-07 @ Manchester 62 W 2-044.0 881 973 33.00% 8.63% 58.37%-0.56 +55.9 11
2015-11-07 Gibraltar United W 3-035.1 1042 946 58.81% 8.63% 32.56%+0.58 +47.1 10
2015-11-07 @ Lynx L 0-335.1 946 1042 32.56% 8.63% 58.81%-0.58 -47.1 1
2015-11-08 Lincoln Red Imps L 0-231.3 1090 1358 15.14% 8.55% 76.31%-2.24 -15.6 8
2015-11-08 @ St. Joseph's W 2-031.3 1358 1090 76.31% 8.55% 15.14%+2.24 +15.7 16
2015-11-09 Europa L 2-336.4 763 1219 5.70% 8.38% 85.92%-3.70 -2.8 0
2015-11-09 @ Angels W 3-236.4 1219 763 85.92% 8.38% 5.70%+3.70 +2.8 16
2015-11-13 St. Joseph's L 0-233.5 899 1074 23.41% 8.60% 67.98%-1.51 -23.8 1
2015-11-13 @ Gibraltar United W 2-033.5 1074 899 67.98% 8.60% 23.41%+1.51 +23.8 11
2015-11-14 Angels W 5-024.1 1373 760 89.43% 8.17% 2.40%+4.59 +5.9 19
2015-11-14 @ Lincoln Red Imps L 0-524.1 760 1373 2.40% 8.17% 89.43%-4.59 -5.9 0
2015-11-14 Manchester 62 W 4-028.1 1222 918 78.85% 8.52% 12.62%+2.20 +24.9 19
2015-11-14 @ Europa L 0-428.1 918 1222 12.62% 8.52% 78.85%-2.20 -24.9 7
2015-11-15 Lynx L 0-228.2 641 1089 5.95% 8.39% 85.66%-3.63 -6.3 0
2015-11-15 @ Glacis United W 2-028.2 1089 641 85.66% 8.39% 5.95%+3.63 +6.3 13
2015-11-16 Lions Gibraltar L 0-437.8 937 942 45.04% 8.64% 46.32%-0.19 -83.1 11
2015-11-16 @ Britannia W 4-037.8 942 937 46.32% 8.64% 45.04%+0.19 +83.1 13
2015-11-20 Glacis United W 3-026.9 1098 635 86.13% 8.37% 5.50%+3.43 +8.4 14
2015-11-20 @ St. Joseph's L 0-326.9 635 1098 5.50% 8.37% 86.13%-3.43 -8.4 0
2015-11-21 Europa L 1-431.4 854 1247 7.99% 8.44% 83.57%-3.21 -10.3 11
2015-11-21 @ Britannia W 4-131.4 1247 854 83.57% 8.44% 7.99%+3.21 +10.3 22
2015-11-21 Lynx D 1-156.6 1025 1096 35.80% 8.64% 55.57%-0.71 +2.4 14
2015-11-21 @ Lions Gibraltar D 1-156.6 1096 1025 55.57% 8.64% 35.80%+0.71 -2.4 14
2015-11-22 Lincoln Red Imps L 0-425.7 893 1379 4.83% 8.34% 86.83%-3.93 -9.7 7
2015-11-22 @ Manchester 62 W 4-025.7 1379 893 86.83% 8.34% 4.83%+3.93 +9.7 22
2015-11-23 Gibraltar United L 1-239.9 754 876 29.42% 8.62% 61.96%-1.10 -14.8 0
2015-11-23 @ Angels W 2-139.9 876 754 61.96% 8.62% 29.42%+1.10 +14.8 4
2015-11-27 Britannia W 3-235.7 1389 844 88.23% 8.27% 3.50%+4.07 +1.8 25
2015-11-27 @ Lincoln Red Imps L 2-335.7 844 1389 3.50% 8.27% 88.23%-4.07 -1.8 11
2015-11-28 Angels L 0-235.6 627 740 30.41% 8.63% 60.96%-1.04 -30.4 0
2015-11-28 @ Glacis United W 2-035.6 740 627 60.96% 8.63% 30.41%+1.04 +30.5 3
2015-11-28 Manchester 62 W 1-041.1 890 883 46.72% 8.64% 44.64%-0.10 +23.1 7
2015-11-28 @ Gibraltar United L 0-141.1 883 890 44.64% 8.64% 46.72%+0.10 -23.0 7
2015-11-29 Lions Gibraltar W 2-032.0 1257 1027 73.26% 8.57% 18.17%+1.62 +18.6 25
2015-11-29 @ Europa L 0-232.0 1027 1257 18.17% 8.57% 73.26%-1.62 -18.7 14
2015-11-30 St. Joseph's W 1-042.0 1093 1106 43.81% 8.64% 47.54%-0.26 +24.4 17
2015-11-30 @ Lynx L 0-142.0 1106 1093 47.54% 8.64% 43.81%+0.26 -24.4 14
2015-12-02 Gibraltar United W 3-035.1 1009 913 58.74% 8.63% 32.63%+0.58 +47.2 17
2015-12-02 @ Lions Gibraltar L 0-335.1 913 1009 32.63% 8.63% 58.74%-0.58 -47.2 7
2015-12-04 Manchester 62 D 1-156.6 596 860 15.45% 8.55% 75.99%-2.20 +7.8 1
2015-12-04 @ Glacis United D 1-156.6 860 596 75.99% 8.55% 15.45%+2.20 -7.8 8
2015-12-05 Britannia L 1-344.9 866 842 49.12% 8.64% 42.24%+0.03 -41.1 7
2015-12-05 @ Gibraltar United W 3-144.9 842 866 42.24% 8.64% 49.12%-0.03 +41.1 14
2015-12-05 Europa W 2-037.1 1390 1276 61.17% 8.63% 30.20%+0.73 +30.2 28
2015-12-05 @ Lincoln Red Imps L 0-237.1 1276 1390 30.20% 8.63% 61.17%-0.73 -30.2 25
2015-12-06 Angels W 6-026.0 1118 770 81.38% 8.49% 10.14%+2.53 +29.4 20
2015-12-06 @ Lynx L 0-626.0 770 1118 10.14% 8.49% 81.38%-2.53 -29.4 3
2015-12-07 St. Joseph's W 3-145.0 1056 1082 41.97% 8.64% 49.39%-0.36 +41.3 20
2015-12-07 @ Lions Gibraltar L 1-345.0 1082 1056 49.39% 8.64% 41.97%+0.36 -41.3 14
2015-12-11 Gibraltar United W 2-028.5 1246 825 84.69% 8.42% 6.90%+3.10 +7.2 28
2015-12-11 @ Europa L 0-228.5 825 1246 6.90% 8.42% 84.69%-3.10 -7.2 7
2015-12-12 Glacis United L 2-357.9 883 604 77.12% 8.54% 14.34%+2.00 -35.1 14
2015-12-12 @ Britannia W 3-257.9 604 883 14.34% 8.54% 77.12%-2.00 +35.1 4
2015-12-12 St. Joseph's L 0-329.2 741 1040 12.93% 8.53% 78.54%-2.48 -19.5 3
2015-12-12 @ Angels W 3-029.2 1040 741 78.54% 8.53% 12.93%+2.48 +19.5 17
2015-12-13 Lions Gibraltar W 4-028.2 1421 1097 80.04% 8.51% 11.45%+2.35 +22.6 31
2015-12-13 @ Lincoln Red Imps L 0-428.2 1097 1421 11.45% 8.51% 80.04%-2.35 -22.6 20
2015-12-14 Lynx L 1-235.0 852 1147 13.26% 8.53% 78.21%-2.44 -6.9 8
2015-12-14 @ Manchester 62 W 2-135.0 1147 852 78.21% 8.53% 13.26%+2.44 +6.9 23
2015-12-18 Angels W 2-029.4 1074 721 81.68% 8.48% 9.84%+2.58 +10.3 23
2015-12-18 @ Lions Gibraltar L 0-229.4 721 1074 9.84% 8.48% 81.68%-2.58 -10.3 3
2015-12-19 Britannia L 0-349.0 1154 848 78.94% 8.52% 12.54%+2.21 -110.0 23
2015-12-19 @ Lynx W 3-049.0 848 1154 12.54% 8.52% 78.94%-2.21 +110.0 17
2015-12-19 Manchester 62 W 2-032.3 1060 845 71.89% 8.58% 19.53%+1.50 +20.0 20
2015-12-19 @ St. Joseph's L 0-232.3 845 1060 19.53% 8.58% 71.89%-1.50 -20.0 8
2015-12-20 Europa L 0-227.1 639 1253 2.39% 8.17% 89.44%-4.92 -2.5 4
2015-12-20 @ Glacis United W 2-027.1 1253 639 89.44% 8.17% 2.39%+4.92 +2.5 31
2015-12-21 Lincoln Red Imps L 0-623.6 818 1443 2.23% 8.15% 89.61%-5.01 -6.5 7
2015-12-21 @ Gibraltar United W 6-023.6 1443 818 89.61% 8.15% 2.23%+5.01 +6.6 34
2016-01-02 Glacis United W 11-022.4 1450 637 91.39% 7.84% 0.78%+6.15 +4.0 37
2016-01-02 @ Lincoln Red Imps L 0-1122.4 637 1450 0.78% 7.84% 91.39%-6.15 -4.0 4
2016-01-02 Lions Gibraltar W 1-050.7 811 1085 14.73% 8.55% 76.73%-2.28 +39.0 10
2016-01-02 @ Gibraltar United L 0-150.7 1085 811 76.73% 8.55% 14.73%+2.28 -39.0 23
2016-01-03 Angels W 4-138.1 825 711 61.14% 8.63% 30.23%+0.73 +37.1 11
2016-01-03 @ Manchester 62 L 1-438.1 711 825 30.23% 8.63% 61.14%-0.73 -37.1 3
2016-01-03 St. Joseph's W 4-356.5 958 1080 29.32% 8.62% 62.05%-1.10 +27.5 20
2016-01-03 @ Britannia L 3-456.5 1080 958 62.05% 8.62% 29.32%+1.10 -27.5 20
2016-01-04 Lynx W 2-137.1 1255 1044 71.61% 8.58% 19.81%+1.48 +10.1 34
2016-01-04 @ Europa L 1-237.1 1044 1255 19.81% 8.58% 71.61%-1.48 -10.1 23
2016-01-08 Manchester 62 L 0-148.4 1046 862 68.87% 8.60% 22.53%+1.26 -34.9 23
2016-01-08 @ Lions Gibraltar W 1-048.4 862 1046 22.53% 8.60% 68.87%-1.26 +34.9 14
2016-01-09 Britannia L 0-328.9 674 985 12.18% 8.52% 79.31%-2.58 -18.4 3
2016-01-09 @ Angels W 3-028.9 985 674 79.31% 8.52% 12.18%+2.58 +18.4 23
2016-01-09 Lincoln Red Imps L 0-228.9 1034 1454 6.91% 8.42% 84.68%-3.42 -7.2 23
2016-01-09 @ Lynx W 2-028.9 1454 1034 84.68% 8.42% 6.91%+3.42 +7.3 40
2016-01-10 Europa W 3-151.7 1052 1266 19.67% 8.58% 71.75%-1.81 +59.5 23
2016-01-10 @ St. Joseph's L 1-351.7 1266 1052 71.75% 8.58% 19.67%+1.81 -59.4 34
2016-01-11 Gibraltar United L 1-236.8 633 850 19.26% 8.58% 72.16%-1.85 -9.9 4
2016-01-11 @ Glacis United W 2-136.8 850 633 72.16% 8.58% 19.26%+1.85 +9.9 13
2016-01-15 Angels W 3-026.2 1206 655 88.35% 8.26% 3.39%+4.11 +5.2 37
2016-01-15 @ Europa L 0-326.2 655 1206 3.39% 8.26% 88.35%-4.11 -5.2 3
2016-01-16 Manchester 62 L 0-244.5 1004 897 60.17% 8.63% 31.20%+0.67 -57.6 23
2016-01-16 @ Britannia W 2-044.5 897 1004 31.20% 8.63% 60.17%-0.67 +57.6 17
2016-01-16 St. Joseph's W 4-028.0 1461 1112 81.48% 8.49% 10.04%+2.55 +19.9 43
2016-01-16 @ Lincoln Red Imps L 0-428.0 1112 1461 10.04% 8.49% 81.48%-2.55 -19.9 23
2016-01-17 Lynx L 1-337.4 860 1026 24.29% 8.61% 67.11%-1.45 -21.3 13
2016-01-17 @ Gibraltar United W 3-137.4 1026 860 67.11% 8.61% 24.29%+1.45 +21.3 26
2016-01-18 Lions Gibraltar W 6-047.9 623 1011 8.20% 8.45% 83.35%-3.17 +222.7 7
2016-01-18 @ Glacis United L 0-647.9 1011 623 83.35% 8.45% 8.20%+3.17 -222.7 23
2016-01-22 Lincoln Red Imps L 0-1322.5 650 1481 0.70% 7.80% 91.50%-6.60 -4.3 3
2016-01-22 @ Angels W 13-022.5 1481 650 91.50% 7.80% 0.70%+6.60 +4.3 46
2016-01-23 Europa D 1-156.6 955 1211 16.02% 8.56% 75.43%-2.15 +7.6 18
2016-01-23 @ Manchester 62 D 1-156.6 1211 955 75.43% 8.56% 16.02%+2.15 -7.6 38
2016-01-23 Gibraltar United W 4-029.1 1092 839 75.18% 8.56% 16.26%+1.80 +31.8 26
2016-01-23 @ St. Joseph's L 0-429.1 839 1092 16.26% 8.56% 75.18%-1.80 -31.8 13
2016-01-24 Glacis United L 0-148.9 1048 845 70.74% 8.59% 20.67%+1.41 -35.9 26
2016-01-24 @ Lynx W 1-048.9 845 1048 20.67% 8.59% 70.74%-1.41 +35.9 10
2016-01-25 Britannia W 1-047.6 788 946 25.16% 8.61% 66.23%-1.39 +33.6 26
2016-01-25 @ Lions Gibraltar L 0-147.6 946 788 66.23% 8.61% 25.16%+1.39 -33.6 23
2016-01-29 Manchester 62 W 4-025.7 1485 963 87.75% 8.30% 3.96%+3.89 +7.9 49
2016-01-29 @ Lincoln Red Imps L 0-425.7 963 1485 3.96% 8.30% 87.75%-3.89 -7.9 18
2016-01-30 Britannia W 10-127.7 1204 913 77.95% 8.53% 13.51%+2.10 +47.0 41
2016-01-30 @ Europa L 1-1027.7 913 1204 13.51% 8.53% 77.95%-2.10 -47.0 23
2016-01-30 Lions Gibraltar L 1-251.9 1012 822 69.56% 8.60% 21.84%+1.31 -33.3 26
2016-01-30 @ Lynx W 2-151.9 822 1012 21.84% 8.60% 69.56%-1.31 +33.3 29
2016-01-31 Glacis United W 1-044.5 807 881 35.33% 8.64% 56.03%-0.74 +28.5 16
2016-01-31 @ Gibraltar United L 0-144.5 881 807 56.03% 8.64% 35.33%+0.74 -28.5 10
2016-02-05 St. Joseph's L 3-540.8 853 1124 14.91% 8.55% 76.54%-2.26 -11.3 10
2016-02-05 @ Glacis United W 5-340.8 1124 853 76.54% 8.55% 14.91%+2.26 +11.3 29
2016-02-06 Angels L 1-251.9 835 646 69.49% 8.60% 21.91%+1.31 -33.2 16
2016-02-06 @ Gibraltar United W 2-151.9 646 835 21.91% 8.60% 69.49%-1.31 +33.2 6
2016-02-19 Europa L 0-327.6 855 1251 7.87% 8.44% 83.68%-3.23 -12.0 29
2016-02-19 @ Lions Gibraltar W 3-027.6 1251 855 83.68% 8.44% 7.87%+3.23 +12.0 44
2016-02-20 Glacis United L 0-332.7 679 842 24.72% 8.61% 66.67%-1.42 -36.4 6
2016-02-20 @ Angels W 3-032.7 842 679 66.67% 8.61% 24.72%+1.42 +36.4 13
2016-02-20 Lynx W 1-035.3 1135 979 66.04% 8.61% 25.35%+1.05 +13.6 32
2016-02-20 @ St. Joseph's L 0-135.3 979 1135 25.35% 8.61% 66.04%-1.05 -13.6 26
2016-02-21 Gibraltar United W 1-035.5 955 802 65.59% 8.61% 25.80%+1.02 +13.8 21
2016-02-21 @ Manchester 62 L 0-135.5 802 955 25.80% 8.61% 65.59%-1.02 -13.8 16
2016-02-22 Lincoln Red Imps L 0-128.4 866 1493 2.21% 8.15% 89.64%-5.02 -1.2 23
2016-02-22 @ Britannia W 1-028.4 1493 866 89.64% 8.15% 2.21%+5.02 +1.2 52
2016-02-26 Lions Gibraltar W 2-134.8 1149 843 78.93% 8.52% 12.54%+2.21 +6.5 35
2016-02-26 @ St. Joseph's L 1-234.8 843 1149 12.54% 8.52% 78.93%-2.21 -6.5 29
2016-02-27 Glacis United L 1-347.6 968 878 58.15% 8.63% 33.22%+0.54 -48.2 21
2016-02-27 @ Manchester 62 W 3-147.6 878 968 33.22% 8.63% 58.15%-0.54 +48.2 16
2016-02-27 Lynx L 1-234.5 643 965 11.54% 8.51% 79.95%-2.66 -6.0 6
2016-02-27 @ Angels W 2-134.5 965 643 79.95% 8.51% 11.54%+2.66 +6.0 29
2016-02-28 Gibraltar United L 0-243.4 864 788 56.26% 8.64% 35.10%+0.43 -54.0 23
2016-02-28 @ Britannia W 2-043.4 788 864 35.10% 8.64% 56.26%-0.43 +54.0 19
2016-02-29 Lincoln Red Imps W 2-051.3 1263 1495 18.00% 8.57% 73.42%-1.96 +70.3 47
2016-02-29 @ Europa L 0-251.3 1495 1263 73.42% 8.57% 18.00%+1.96 -70.3 52
2016-03-04 Britannia W 1-036.7 926 811 61.29% 8.63% 30.08%+0.74 +16.0 19
2016-03-04 @ Glacis United L 0-136.7 811 926 30.08% 8.63% 61.29%-0.74 -16.0 23
2016-03-05 Europa L 1-331.5 842 1333 4.72% 8.34% 86.94%-3.96 -4.3 19
2016-03-05 @ Gibraltar United W 3-131.5 1333 842 86.94% 8.34% 4.72%+3.96 +4.3 50
2016-03-05 Manchester 62 W 3-036.9 971 920 52.85% 8.64% 38.52%+0.23 +55.1 32
2016-03-05 @ Lynx L 0-336.9 920 971 38.52% 8.64% 52.85%-0.23 -55.1 21
2016-03-06 Angels L 0-153.9 1155 637 87.64% 8.30% 4.05%+3.86 -44.8 35
2016-03-06 @ St. Joseph's W 1-053.9 637 1155 4.05% 8.30% 87.64%-3.86 +44.8 9
2016-03-07 Lincoln Red Imps L 1-726.4 836 1424 2.76% 8.21% 89.03%-4.72 -6.7 29
2016-03-07 @ Lions Gibraltar W 7-126.4 1424 836 89.03% 8.21% 2.76%+4.72 +6.7 55
2016-03-11 St. Joseph's W 3-047.7 865 1110 16.90% 8.56% 74.54%-2.06 +103.7 24
2016-03-11 @ Manchester 62 L 0-347.7 1110 865 74.54% 8.56% 16.90%+2.06 -103.7 35
2016-03-12 Gibraltar United W 4-025.0 1431 838 89.12% 8.20% 2.68%+4.44 +5.4 58
2016-03-12 @ Lincoln Red Imps L 0-425.0 838 1431 2.68% 8.20% 89.12%-4.44 -5.4 19
2016-03-12 Glacis United L 0-152.8 1337 942 83.66% 8.44% 7.90%+2.90 -42.7 50
2016-03-12 @ Europa W 1-052.8 942 1337 7.90% 8.44% 83.66%-2.90 +42.7 22
2016-03-13 Lions Gibraltar L 0-135.6 682 830 26.28% 8.61% 65.11%-1.31 -14.1 9
2016-03-13 @ Angels W 1-035.6 830 682 65.11% 8.61% 26.28%+1.31 +14.1 32
2016-03-15 Lynx L 0-231.9 795 1026 18.04% 8.57% 73.39%-1.95 -18.5 23
2016-03-15 @ Britannia W 2-031.9 1026 795 73.39% 8.57% 18.04%+1.95 +18.5 35
2016-04-01 Lincoln Red Imps L 1-430.9 985 1436 5.84% 8.38% 85.78%-3.66 -7.5 22
2016-04-01 @ Glacis United W 4-130.9 1436 985 85.78% 8.38% 5.84%+3.66 +7.5 61
2016-04-02 Britannia W 4-029.7 1007 776 73.32% 8.57% 18.11%+1.63 +35.3 38
2016-04-02 @ St. Joseph's L 0-429.7 776 1007 18.11% 8.57% 73.32%-1.63 -35.3 23
2016-04-02 Europa L 0-132.8 1045 1294 16.53% 8.56% 74.91%-2.10 -9.0 35
2016-04-02 @ Lynx W 1-032.8 1294 1045 74.91% 8.56% 16.53%+2.10 +9.0 53
2016-04-03 Manchester 62 L 1-630.5 668 969 12.83% 8.53% 78.64%-2.49 -25.8 9
2016-04-03 @ Angels W 6-130.5 969 668 78.64% 8.53% 12.83%+2.49 +25.8 27
2016-04-04 Gibraltar United L 1-344.3 844 833 47.28% 8.64% 44.08%-0.07 -39.7 32
2016-04-04 @ Lions Gibraltar W 3-144.3 833 844 44.08% 8.64% 47.28%+0.07 +39.7 22
2016-04-08 Angels W 4-347.5 741 642 59.22% 8.63% 32.15%+0.61 +14.8 26
2016-04-08 @ Britannia L 3-447.5 642 741 32.15% 8.63% 59.22%-0.61 -14.9 9
2016-04-09 Lions Gibraltar D 2-260.2 995 804 69.59% 8.60% 21.82%+1.32 -4.5 28
2016-04-09 @ Manchester 62 D 2-260.2 804 995 21.82% 8.60% 69.59%-1.32 +4.5 33
2016-04-09 St. Joseph's W 2-135.9 1304 1042 75.83% 8.55% 15.62%+1.87 +8.1 56
2016-04-09 @ Europa L 1-235.9 1042 1304 15.62% 8.55% 75.83%-1.87 -8.1 38
2016-04-10 Glacis United L 0-235.9 872 977 31.40% 8.63% 59.97%-0.97 -31.4 22
2016-04-10 @ Gibraltar United W 2-035.9 977 872 59.97% 8.63% 31.40%+0.97 +31.4 25
2016-04-11 Lynx W 4-026.8 1444 1036 84.20% 8.43% 7.37%+3.00 +14.7 64
2016-04-11 @ Lincoln Red Imps L 0-426.8 1036 1444 7.37% 8.43% 84.20%-3.00 -14.7 35
2016-04-15 Glacis United W 6-355.4 809 1009 20.89% 8.59% 70.52%-1.71 +66.2 36
2016-04-15 @ Lions Gibraltar L 3-655.4 1009 809 70.52% 8.59% 20.89%+1.71 -66.2 25
2016-04-16 Britannia W 6-028.3 990 756 73.64% 8.57% 17.79%+1.66 +50.8 31
2016-04-16 @ Manchester 62 L 0-628.3 756 990 17.79% 8.57% 73.64%-1.66 -50.8 26
2016-04-16 Gibraltar United L 0-148.3 1021 841 68.53% 8.60% 22.87%+1.24 -34.8 35
2016-04-16 @ Lynx W 1-048.3 841 1021 22.87% 8.60% 68.53%-1.24 +34.8 25
2016-04-17 Lincoln Red Imps L 0-327.7 1034 1458 6.75% 8.41% 84.84%-3.45 -10.3 38
2016-04-17 @ St. Joseph's W 3-027.7 1458 1034 84.84% 8.41% 6.75%+3.45 +10.3 67
2016-04-18 Europa L 0-325.6 627 1312 1.60% 8.06% 90.34%-5.47 -2.5 9
2016-04-18 @ Angels W 3-025.6 1312 627 90.34% 8.06% 1.60%+5.47 +2.5 59
2016-04-27 Lions Gibraltar L 1-436.2 705 875 23.89% 8.61% 67.50%-1.48 -29.7 26
2016-04-27 @ Britannia W 4-136.2 875 705 67.50% 8.61% 23.89%+1.48 +29.7 39
2016-04-29 St. Joseph's L 1-338.0 876 1024 26.30% 8.61% 65.09%-1.31 -23.0 25
2016-04-29 @ Gibraltar United W 3-138.0 1024 876 65.09% 8.61% 26.30%+1.31 +23.0 41
2016-04-30 Angels W 13-122.9 1469 624 91.57% 7.78% 0.65%+6.39 +3.0 70
2016-04-30 @ Lincoln Red Imps L 1-1322.9 624 1469 0.65% 7.78% 91.57%-6.39 -3.0 9
2016-04-30 Manchester 62 W 5-028.0 1314 1041 76.70% 8.55% 14.75%+1.96 +35.7 62
2016-04-30 @ Europa L 0-528.0 1041 1314 14.75% 8.55% 76.70%-1.96 -35.7 31
2016-05-01 Lynx W 2-146.6 942 986 39.48% 8.64% 51.88%-0.50 +25.0 28
2016-05-01 @ Glacis United L 1-246.6 986 942 51.88% 8.64% 39.48%+0.50 -25.0 35
2016-05-06 Lincoln Red Imps L 0-426.2 1005 1472 5.38% 8.37% 86.25%-3.78 -10.7 31
2016-05-06 @ Manchester 62 W 4-026.2 1472 1005 86.25% 8.37% 5.38%+3.78 +10.7 73
2016-05-07 Europa L 1-1623.0 675 1350 1.70% 8.08% 90.23%-5.39 -9.8 26
2016-05-07 @ Britannia W 16-123.0 1350 675 90.23% 8.08% 1.70%+5.39 +9.8 65
2016-05-07 Glacis United D 2-260.2 1047 967 56.68% 8.63% 34.69%+0.45 -2.0 42
2016-05-07 @ St. Joseph's D 2-260.2 967 1047 34.69% 8.63% 56.68%-0.45 +2.0 29
2016-05-08 Lynx W 4-145.1 905 961 37.71% 8.64% 53.65%-0.60 +63.1 42
2016-05-08 @ Lions Gibraltar L 1-445.1 961 905 53.65% 8.64% 37.71%+0.60 -63.1 35
2016-05-09 Gibraltar United L 1-731.0 621 853 18.06% 8.57% 73.37%-1.95 -42.5 9
2016-05-09 @ Angels W 7-131.0 853 621 73.37% 8.57% 18.06%+1.95 +42.5 28
2016-05-13 Britannia W 10-022.4 1483 665 91.41% 7.83% 0.76%+6.18 +3.6 76
2016-05-13 @ Lincoln Red Imps L 0-1022.4 665 1483 0.76% 7.83% 91.41%-6.18 -3.6 26
2016-05-14 Manchester 62 D 2-260.2 895 994 32.12% 8.63% 59.25%-0.93 +2.5 29
2016-05-14 @ Gibraltar United D 2-260.2 994 895 59.25% 8.63% 32.12%+0.93 -2.5 32
2016-05-14 St. Joseph's L 2-441.6 898 1045 26.46% 8.61% 64.93%-1.30 -20.7 35
2016-05-14 @ Lynx W 4-241.6 1045 898 64.93% 8.61% 26.46%+1.30 +20.7 45
2016-05-15 Lions Gibraltar L 0-152.8 1360 968 83.52% 8.45% 8.04%+2.88 -42.6 65
2016-05-15 @ Europa W 1-052.8 968 1360 8.04% 8.45% 83.52%-2.88 +42.6 45
2016-05-16 Angels W 6-129.0 969 579 83.46% 8.45% 8.09%+2.87 +16.4 32
2016-05-16 @ Glacis United L 1-629.0 579 969 8.09% 8.45% 83.46%-2.87 -16.4 9

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 2016-03-06 4.05% Angels 637 1 @ St. Joseph's 1155 0
2 2016-03-12 7.90% Glacis United 942 1 @ Europa 1337 0
3 2016-05-15 8.04% Lions Gibraltar 968 1 @ Europa 1360 0
4 2016-01-18 8.20% @ Glacis United 623 6 Lions Gibraltar 1011 0
5 2015-12-19 12.54% Britannia 848 3 @ Lynx 1154 0
6 2015-12-12 14.34% Glacis United 604 3 @ Britannia 883 2
7 2016-01-02 14.73% @ Gibraltar United 811 1 Lions Gibraltar 1085 0
8 2016-03-11 16.90% @ Manchester 62 865 3 St. Joseph's 1110 0
9 2016-02-29 18.00% @ Europa 1263 2 Lincoln Red Imps 1495 0
10 2016-01-10 19.67% @ St. Joseph's 1052 3 Europa 1266 1
11 2016-01-24 20.67% Glacis United 845 1 @ Lynx 1048 0
12 2016-04-15 20.89% @ Lions Gibraltar 809 6 Glacis United 1009 3
13 2016-01-30 21.84% Lions Gibraltar 822 2 @ Lynx 1012 1
14 2016-02-06 21.91% Angels 646 2 @ Gibraltar United 835 1
15 2016-01-08 22.53% Manchester 62 862 1 @ Lions Gibraltar 1046 0
16 2016-04-16 22.87% Gibraltar United 841 1 @ Lynx 1021 0
17 2015-10-17 24.00% Lions Gibraltar 769 3 @ Angels 938 0
18 2016-01-25 25.16% @ Lions Gibraltar 788 1 Britannia 946 0
19 2015-10-31 27.22% Lions Gibraltar 863 3 @ Manchester 62 1003 2
20 2016-01-03 29.32% @ Britannia 958 4 St. Joseph's 1080 3
21 2016-01-16 31.20% Manchester 62 897 2 @ Britannia 1004 0
22 2015-11-07 33.00% Britannia 881 2 @ Manchester 62 973 0
23 2016-02-27 33.22% Glacis United 878 3 @ Manchester 62 968 1
24 2016-02-28 35.10% Gibraltar United 788 2 @ Britannia 864 0
25 2016-01-31 35.33% @ Gibraltar United 807 1 Glacis United 881 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 2016-01-18 222.71 @ Glacis United 6 623 8.20% Lions Gibraltar 0 1011 83.35% 8.45%
2 2015-12-19 110.02 Britannia 3 848 12.54% @ Lynx 0 1154 78.94% 8.52%
3 2016-03-11 103.67 @ Manchester 62 3 865 16.90% St. Joseph's 0 1110 74.54% 8.56%
4 2015-10-17 93.57 Lions Gibraltar 3 769 24.00% @ Angels 0 938 67.39% 8.61%
5 2015-11-16 83.14 Lions Gibraltar 4 942 46.32% @ Britannia 0 937 45.04% 8.64%
6 2015-10-01 77.16 @ St. Joseph's 4 1045 49.83% Angels 0 1015 41.52% 8.64%
7 2016-02-29 70.28 @ Europa 2 1263 18.00% Lincoln Red Imps 0 1495 73.42% 8.57%
8 2016-04-15 66.23 @ Lions Gibraltar 6 809 20.89% Glacis United 3 1009 70.52% 8.59%
9 2016-05-08 63.15 @ Lions Gibraltar 4 905 37.71% Lynx 1 961 53.65% 8.64%
10 2015-10-14 62.63 Britannia 3 787 47.10% @ Glacis United 0 777 44.26% 8.64%
11 2016-01-10 59.45 @ St. Joseph's 3 1052 19.67% Europa 1 1266 71.75% 8.58%
12 2016-01-16 57.59 Manchester 62 2 897 31.20% @ Britannia 0 1004 60.17% 8.63%
13 2015-11-07 55.91 Britannia 2 881 33.00% @ Manchester 62 0 973 58.37% 8.63%
14 2016-03-05 55.11 @ Lynx 3 971 52.85% Manchester 62 0 920 38.52% 8.64%
15 2016-02-28 53.96 Gibraltar United 2 788 35.10% @ Britannia 0 864 56.26% 8.64%
16 2016-04-16 50.77 @ Manchester 62 6 990 73.64% Britannia 0 756 17.79% 8.57%
17 2015-11-06 49.71 @ Lions Gibraltar 5 892 70.59% Glacis United 0 691 20.82% 8.59%
18 2015-10-25 48.85 Manchester 62 5 954 60.49% @ Angels 1 845 30.89% 8.63%
19 2016-02-27 48.24 Glacis United 3 878 33.22% @ Manchester 62 1 968 58.15% 8.63%
20 2015-10-16 47.71 @ Lincoln Red Imps 7 1273 77.12% Gibraltar United 0 994 14.34% 8.54%
21 2015-12-02 47.23 @ Lions Gibraltar 3 1009 58.74% Gibraltar United 0 913 32.63% 8.63%
22 2015-11-07 47.14 @ Lynx 3 1042 58.81% Gibraltar United 0 946 32.56% 8.63%
23 2016-01-30 46.99 @ Europa 10 1204 77.95% Britannia 1 913 13.51% 8.53%
24 2016-03-06 44.81 Angels 1 637 4.05% @ St. Joseph's 0 1155 87.64% 8.30%
25 2016-03-12 42.69 Glacis United 1 942 7.90% @ Europa 0 1337 83.66% 8.44%

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 2015-10-02 60.2 @ Lynx 2 1085 61.92% Manchester 62 2 964 29.46% 8.62%
2 2016-04-09 60.2 @ Manchester 62 2 995 69.59% Lions Gibraltar 2 804 21.82% 8.60%
3 2016-05-07 60.2 @ St. Joseph's 2 1047 56.68% Glacis United 2 967 34.69% 8.63%
4 2016-05-14 60.2 @ Gibraltar United 2 895 32.12% Manchester 62 2 994 59.25% 8.63%
5 2015-12-12 57.9 Glacis United 3 604 14.34% @ Britannia 2 883 77.12% 8.54%
6 2015-09-28 56.8 @ Europa 1 1106 24.10% Lincoln Red Imps 1 1274 67.30% 8.61%
7 2015-09-25 56.6 @ St. Joseph's 1 1053 77.68% Lions Gibraltar 1 766 13.78% 8.54%
8 2015-09-27 56.6 @ Britannia 1 780 16.04% Gibraltar United 1 1036 75.40% 8.56%
9 2015-10-24 56.6 @ St. Joseph's 1 1135 78.25% Britannia 1 840 13.22% 8.53%
10 2015-11-21 56.6 @ Lions Gibraltar 1 1025 35.80% Lynx 1 1096 55.57% 8.64%
11 2015-12-04 56.6 @ Glacis United 1 596 15.45% Manchester 62 1 860 75.99% 8.55%
12 2016-01-23 56.6 @ Manchester 62 1 955 16.02% Europa 1 1211 75.43% 8.56%
13 2016-01-03 56.5 @ Britannia 4 958 29.32% St. Joseph's 3 1080 62.05% 8.62%
14 2016-04-15 55.4 @ Lions Gibraltar 6 809 20.89% Glacis United 3 1009 70.52% 8.59%
15 2015-10-31 54.0 Lions Gibraltar 3 863 27.22% @ Manchester 62 2 1003 64.16% 8.62%
16 2016-03-06 53.9 Angels 1 637 4.05% @ St. Joseph's 0 1155 87.64% 8.30%
17 2016-03-12 52.8 Glacis United 1 942 7.90% @ Europa 0 1337 83.66% 8.44%
18 2016-05-15 52.8 Lions Gibraltar 1 968 8.04% @ Europa 0 1360 83.52% 8.45%
19 2016-01-30 51.9 Lions Gibraltar 2 822 21.84% @ Lynx 1 1012 69.56% 8.60%
20 2016-02-06 51.9 Angels 2 646 21.91% @ Gibraltar United 1 835 69.49% 8.60%
21 2016-01-10 51.7 @ St. Joseph's 3 1052 19.67% Europa 1 1266 71.75% 8.58%
22 2016-02-29 51.3 @ Europa 2 1263 18.00% Lincoln Red Imps 0 1495 73.42% 8.57%
23 2016-01-02 50.7 @ Gibraltar United 1 811 14.73% Lions Gibraltar 0 1085 76.73% 8.55%
24 2015-12-19 49.0 Britannia 3 848 12.54% @ Lynx 0 1154 78.94% 8.52%
25 2016-01-24 48.9 Glacis United 1 845 20.67% @ Lynx 0 1048 70.74% 8.59%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2016-01-02 22.4 @ Lincoln Red Imps 11 1450 91.39% Glacis United 0 637 0.78% 7.84%
2 2016-05-13 22.4 @ Lincoln Red Imps 10 1483 91.41% Britannia 0 665 0.76% 7.83%
3 2016-01-22 22.5 Lincoln Red Imps 13 1481 91.50% @ Angels 0 650 0.70% 7.80%
4 2016-04-30 22.9 @ Lincoln Red Imps 13 1469 91.57% Angels 1 624 0.65% 7.78%
5 2016-05-07 23.0 Europa 16 1350 90.23% @ Britannia 1 675 1.70% 8.08%
6 2015-12-21 23.6 Lincoln Red Imps 6 1443 89.61% @ Gibraltar United 0 818 2.23% 8.15%
7 2015-11-14 24.1 @ Lincoln Red Imps 5 1373 89.43% Angels 0 760 2.40% 8.17%
8 2015-10-19 24.9 @ Europa 6 1145 85.04% Glacis United 0 715 6.55% 8.41%
9 2016-03-12 25.0 @ Lincoln Red Imps 4 1431 89.12% Gibraltar United 0 838 2.68% 8.20%
10 2016-04-18 25.6 Europa 3 1312 90.34% @ Angels 0 627 1.60% 8.06%
11 2015-11-22 25.7 Lincoln Red Imps 4 1379 86.83% @ Manchester 62 0 893 4.83% 8.34%
12 2016-01-29 25.7 @ Lincoln Red Imps 4 1485 87.75% Manchester 62 0 963 3.96% 8.30%
13 2015-12-06 26.0 @ Lynx 6 1118 81.38% Angels 0 770 10.14% 8.49%
14 2016-01-15 26.2 @ Europa 3 1206 88.35% Angels 0 655 3.39% 8.26%
15 2016-05-06 26.2 Lincoln Red Imps 4 1472 86.25% @ Manchester 62 0 1005 5.38% 8.37%
16 2016-03-07 26.4 Lincoln Red Imps 7 1424 89.03% @ Lions Gibraltar 1 836 2.76% 8.21%
17 2016-04-11 26.8 @ Lincoln Red Imps 4 1444 84.20% Lynx 0 1036 7.37% 8.43%
18 2015-11-20 26.9 @ St. Joseph's 3 1098 86.13% Glacis United 0 635 5.50% 8.37%
19 2015-10-16 27.0 @ Lincoln Red Imps 7 1273 77.12% Gibraltar United 0 994 14.34% 8.54%
20 2015-12-20 27.1 Europa 2 1253 89.44% @ Glacis United 0 639 2.39% 8.17%
21 2015-10-24 27.2 Lincoln Red Imps 6 1321 89.61% @ Glacis United 1 696 2.24% 8.15%
22 2016-02-19 27.6 Europa 3 1251 83.68% @ Lions Gibraltar 0 855 7.87% 8.44%
23 2016-01-30 27.7 @ Europa 10 1204 77.95% Britannia 1 913 13.51% 8.53%
24 2016-04-17 27.7 Lincoln Red Imps 3 1458 84.84% @ St. Joseph's 0 1034 6.75% 8.41%
25 2015-10-03 27.8 Lincoln Red Imps 2 1268 87.04% @ Lions Gibraltar 0 774 4.63% 8.33%