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2013-14 Gibraltar Premier Division Season

56 games

Final

Champion

Lincoln Red Imps

36 points · 20th Title

Last Title: 2012-13

Relegated

No relegation

Biggest Overachiever

Manchester 62

4.75 points above expected

30 points · 25.25 expected points

Biggest Disappointment

Gibraltar Phoenix

7.50 points below expected

0 points · 7.50 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 14 11 3 0 36 64 4 +60 32.06 +3.94
2 Manchester 62 14 9 3 2 30 37 10 +27 25.25 +4.75
3 Lynx 14 9 2 3 29 36 18 +18 24.57 +4.43
4 College Europa 14 5 4 5 19 29 18 +11 23.94 -4.94
5 Glacis United 14 6 1 7 19 18 32 -14 14.31 +4.69
6 Lions Gibraltar 14 4 2 8 14 23 33 -10 15.77 -1.77
7 St. Joseph's 14 4 1 9 13 23 30 -7 16.28 -3.28
8 Gibraltar Phoenix 14 0 0 14 0 9 94 -85 7.50 -7.50

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 Manchester 62 30 25.25 +4.75
2 Glacis United 19 14.31 +4.69
3 Lynx 29 24.57 +4.43
4 Lincoln Red Imps 36 32.06 +3.94
5 Lions Gibraltar 14 15.77 -1.77

Biggest Disappointments

# Team Actual Sim vsSim
1 Gibraltar Phoenix 0 7.50 -7.50
2 College Europa 19 23.94 -4.94
3 St. Joseph's 13 16.28 -3.28
4 Lions Gibraltar 14 15.77 -1.77
5 Lincoln Red Imps 36 32.06 +3.94

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 Lynx 6 Nov 23 – Mar 17 1 in 21
2 Lincoln Red Imps 11 Nov 23 – Apr 14 1 in 20
3 Lions Gibraltar 3 Nov 1 – Nov 25 1 in 6
4 Glacis United 3 Oct 7 – Nov 9 1 in 6
5 Manchester 62 4 Jan 18 – Mar 22 1 in 5

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Gibraltar Phoenix 14 Oct 26 – May 3 1 in 90
2 St. Joseph's 5 Oct 11 – Nov 30 1 in 26
3 College Europa 2 Mar 22 – Mar 28 1 in 10
4 Glacis United 4 Nov 23 – Jan 18 1 in 7
5 Lions Gibraltar 3 Feb 10 – Mar 22 1 in 6

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Manchester 62 8 Jan 18 – May 3 1 in 10
2 Lincoln Red Imps 14 Nov 4 – May 3 1 in 9
3 Lynx 6 Nov 23 – Mar 17 1 in 5
4 St. Joseph's 2 Mar 22 – Apr 1 1 in 5
5 College Europa 3 Oct 26 – Nov 9 1 in 4

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 College Europa 3 Dec 6 – Feb 14 1 in 11
2 Gibraltar Phoenix 14 Oct 26 – May 3 1 in 7
3 St. Joseph's 5 Oct 11 – Nov 30 1 in 7
4 Lions Gibraltar 6 Dec 2 – Mar 22 1 in 6
5 Lynx 3 Mar 21 – Apr 5 1 in 5

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 1277 36 +53 13 12.5 +0.5
Manchester 62 1129 30 +45 11 10.4 +0.6
Lynx 843 29 -160 7 8.0 -1.0
Glacis United 592 19 +25 7 4.9 +2.1
College Europa 834 19 -17 4 7.8 -3.8
Lions Gibraltar 584 14 -54 4 4.7 -0.7
St. Joseph's 763 13 +153 10 7.5 +2.5
Gibraltar Phoenix 156 0 -44 0 1.3 -1.3

Head-to-Head

Each cell shows a team's record in that matchup (row vs column, formatted W-D-L) with the model's expected points on the line below. Navy-tinted cells mean the team beat the model's expectations by more than one point in that matchup; gold-tinted cells mean they fell short by the same margin.

Beat expectations Fell short Within expectations
Team CE GP GU LRI LG LYN M6 SJ
College Europa —
2-0-0
4.19
1-0-1
4.14
0-1-1
1.70
0-2-0
4.40
1-0-1
2.58
0-1-1
2.94
1-0-1
4.11
Gibraltar Phoenix
0-0-2
1.51
 —
0-0-2
1.53
0-0-2
0.27
0-0-2
1.26
0-0-2
0.62
0-0-2
0.81
0-0-2
1.01
Glacis United
1-0-1
1.56
2-0-0
4.17
 —
0-0-2
1.32
2-0-0
2.52
0-0-2
1.64
0-0-2
1.08
1-1-0
2.89
Lincoln Red Imps
1-1-0
4.00
2-0-0
5.48
2-0-0
4.39
 —
2-0-0
4.71
1-1-0
4.07
1-1-0
4.39
2-0-0
5.26
Lions Gibraltar
0-2-0
1.30
2-0-0
4.45
0-0-2
3.17
0-0-2
1.00
 —
0-0-2
1.48
1-0-1
1.64
1-0-1
3.13
Lynx
1-0-1
3.12
2-0-0
5.09
2-0-0
4.07
0-1-1
1.62
2-0-0
4.22
 —
0-1-1
2.88
2-0-0
3.36
Manchester 62
1-1-0
2.76
2-0-0
4.91
2-0-0
4.62
0-1-1
1.31
1-0-1
4.06
1-1-0
2.81
 —
2-0-0
4.40
St. Joseph's
1-0-1
1.59
2-0-0
4.70
0-1-1
2.81
0-0-2
0.45
1-0-1
2.57
0-0-2
2.34
0-0-2
1.31
 —

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 0.80 +6.2
Allowed 0.80 -3.7
Differential 0.90 +2.6

Scoreline Distribution

Percentage of games ending with each combination of team-goals (rows) and opponent-goals (columns). The diagonal shows draws; cells below the diagonal are wins from the row team's perspective, cells above are losses. Marginal totals on the right and bottom show how often each goal count occurred regardless of opponent. Use the picker to switch between the league-wide view and any individual team.

↓ Scored | Allowed →012345+Total
03.57%4.46%5.36%4.46%4.46%6.25%28.57%
14.46%10.71%1.79%2.68%1.79%1.79%23.21%
25.36%1.79%—5.36%1.79%1.79%16.07%
34.46%2.68%5.36%—0.89%—13.39%
44.46%1.79%1.79%0.89%——8.93%
5+6.25%1.79%1.79%———9.82%
Total28.57%23.21%16.07%13.39%8.93%9.82%100%

Summary Statistics

Scored Allowed Difference
Mean 2.13 2.13 +0.00
SD 2.73 2.73 4.36
CV 1.28 1.28 —
Max 16 16 +16
Min 0 0 -16

Games Played: 56

↓ Scored | Allowed →012345+Total
0——14.29%———14.29%
17.14%28.57%7.14%———42.86%
27.14%——7.14%7.14%—21.43%
37.14%7.14%————14.29%
4———————
5+7.14%—————7.14%
Total28.57%35.71%21.43%7.14%7.14%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.07 1.29 +0.79
SD 2.73 1.20 3.33
CV 1.32 0.94 —
Max 11 4 +11
Min 0 0 -2

Games Played: 14

↓ Scored | Allowed →012345+Total
0—7.14%—7.14%7.14%35.71%57.14%
1———7.14%—14.29%21.43%
2———7.14%—14.29%21.43%
3———————
4———————
5+———————
Total—7.14%—21.43%7.14%64.29%100%

Summary Statistics

Scored Allowed Difference
Mean 0.64 6.71 -6.07
SD 0.84 4.65 4.75
CV 1.31 0.69 —
Max 2 16 -1
Min 0 1 -16

Games Played: 14

↓ Scored | Allowed →012345+Total
07.14%—14.29%7.14%7.14%7.14%42.86%
17.14%—7.14%—7.14%—21.43%
2—7.14%————7.14%
37.14%—14.29%———21.43%
4———7.14%——7.14%
5+———————
Total21.43%7.14%35.71%14.29%14.29%7.14%100%

Summary Statistics

Scored Allowed Difference
Mean 1.29 2.29 -1.00
SD 1.44 1.90 2.66
CV 1.12 0.83 —
Max 4 7 +3
Min 0 0 -7

Games Played: 14

↓ Scored | Allowed →012345+Total
07.14%—————7.14%
17.14%14.29%————21.43%
27.14%—————7.14%
314.29%—————14.29%
421.43%7.14%————28.57%
5+14.29%7.14%————21.43%
Total71.43%28.57%————100%

Summary Statistics

Scored Allowed Difference
Mean 4.57 0.29 +4.29
SD 5.06 0.47 5.03
CV 1.11 1.64 —
Max 16 1 +16
Min 0 0 +0

Games Played: 14

↓ Scored | Allowed →012345+Total
0—7.14%7.14%—14.29%—28.57%
17.14%14.29%——7.14%—28.57%
2———7.14%7.14%—14.29%
3—7.14%7.14%—7.14%—21.43%
4———————
5+——7.14%———7.14%
Total7.14%28.57%21.43%7.14%35.71%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.64 2.36 -0.71
SD 1.69 1.45 2.27
CV 1.03 0.61 —
Max 6 4 +4
Min 0 0 -4

Games Played: 14

↓ Scored | Allowed →012345+Total
07.14%——14.29%——21.43%
17.14%7.14%————14.29%
214.29%——7.14%——21.43%
3—7.14%14.29%———21.43%
4—7.14%————7.14%
5+7.14%—7.14%———14.29%
Total35.71%21.43%21.43%21.43%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.57 1.29 +1.29
SD 2.44 1.20 2.84
CV 0.95 0.94 —
Max 8 3 +7
Min 0 0 -3

Games Played: 14

↓ Scored | Allowed →012345+Total
0—7.14%————7.14%
1—21.43%—7.14%——28.57%
214.29%7.14%————21.43%
37.14%—7.14%———14.29%
47.14%—————7.14%
5+21.43%—————21.43%
Total50.00%35.71%7.14%7.14%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.64 0.71 +1.93
SD 1.98 0.91 2.59
CV 0.75 1.28 —
Max 7 3 +7
Min 0 0 -2

Games Played: 14

↓ Scored | Allowed →012345+Total
07.14%14.29%7.14%7.14%7.14%7.14%50.00%
1———7.14%——7.14%
2———14.29%——14.29%
3———————
47.14%—14.29%———21.43%
5+—7.14%————7.14%
Total14.29%21.43%21.43%28.57%7.14%7.14%100%

Summary Statistics

Scored Allowed Difference
Mean 1.64 2.14 -0.50
SD 2.06 1.46 2.88
CV 1.25 0.68 —
Max 6 5 +5
Min 0 0 -5

Games Played: 14

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 1277 36 32.06 +3.94 86.0% 20 25 29 32 35 38 42
Manchester 62 1129 30 25.25 +4.75 89.0% 13 19 22 25 28 32 37
Lynx 843 29 24.57 +4.43 83.0% 12 17 21 25 27 32 36
College Europa 834 19 23.94 -4.94 15.0% 16 18 21 24 26 31 34
St. Joseph's 763 13 16.28 -3.28 28.0% 10 10 13 16 19 23 31
Glacis United 592 19 14.31 +4.69 84.0% 5 7 12 14 17 21 25
Lions Gibraltar 584 14 15.77 -1.77 35.0% 5 8 13 16 18 22 28
Gibraltar Phoenix 156 0 7.50 -7.50 2.0% 0 1 5 7 10 14 16

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
+10.71%
Strong Edge
48.21%14.29%37.50%
Elo Value
Home Edge
110 Elo
0.009 goals per Elo point
037.37300
Scoring Tilt
Expected
-0.02 goals
Neutral
-2+0.34+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 0.15 * Tight Race: 0.15 to 0.33 * Comfortable: 0.33 to 0.75 * Runaway: 0.75 and up.
Title-Race Openness
1.7
One-Team Race
12348
Champion Preseason Odds
75%
Lincoln Red Imps, 1st of 8
LongshotFavorite
Title Margin
Expected
0.43/gm
Comfortable
00.360.6/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 3.37 * Some Luck: 3.37 to 5.06 * Lucky: 5.06 to 6.75 * Wild Swing: 6.75 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 0.68 * Close: 0.68 to 1.02 * Off: 1.02 to 1.36 * Way Off: 1.36 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
4.67 points
Some Luck
04.2211
Average Finish Error
Expected
0.50
Pinpoint
00.852
Biggest Overachiever
Expected 93.75%
89.00%
Manchester 62
50100
Biggest Underachiever
Expected
2.00%
Gibraltar Phoenix
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 0.26 * 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
0.30
Top-Heavy
00.260.5
Noll-Scully
Elo SD: 346.25
2.19
Coin-Flip Parity
12.252.653.25
Interquartile Edge
87%
Slight Edge
50%75%88%100%
Best vs. Worst
Baseline 100%
100%
Dominant
50%100%
Close Games
Expected
39%
Some Drama
0%28%100%
Blowouts
Expected
41%
Frequent
0%55%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
0.43
Highly Predictable
00.462
Matchup Imbalance
0.57
Slight Separation
00.5
Strangeness
Expected
1.33
Wilder Than Modeled
01.002
Repeatability
-0.05
Weak Carryover
00.30.460.681
Upset Rate
Expected
14%
Chalky
0%18%50%
Clear Favorite Upset Rate
Expected
15%
As Expected
0%15%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 0.19 * Near Noise Ceiling: 0.19 to 0.28 * Above Noise: 0.28 to 0.38 * Well Above Noise: 0.38 and up.
Probability calibration
0.33
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
1.02
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.110
Well Within Noise
00.1900.5

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
Lincoln Red Imps75.00%16.00%4.00%5.00%————
Manchester 6210.00%33.00%30.00%21.00%5.00%1.00%——
Lynx11.00%25.00%32.00%19.00%7.00%6.00%——
College Europa4.00%22.00%24.00%37.00%9.00%3.00%1.00%—
Glacis United——1.00%6.00%17.00%28.00%38.00%10.00%
Lions Gibraltar—1.00%5.00%4.00%31.00%27.00%27.00%5.00%
St. Joseph's—3.00%4.00%8.00%30.00%27.00%27.00%1.00%
Gibraltar Phoenix————1.00%8.00%7.00%84.00%

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
College Europa 99.00% 1.00% —
Lincoln Red Imps 100% — —
Lynx 100% — —
Manchester 62 100% — —
St. Joseph's 72.00% 27.00% 1.00%
Lions Gibraltar 68.00% 27.00% 5.00%
Glacis United 52.00% 38.00% 10.00%
Gibraltar Phoenix 9.00% 7.00% 84.00%

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
2013-10-07 Lions Gibraltar W 3-246.0 718 715 48.04% 15.15% 36.81%+0.36 +39.4 3
2013-10-07 @ Glacis United L 2-346.0 715 718 36.81% 15.15% 48.04%-0.36 -39.4 0
2013-10-11 St. Joseph's W 3-148.4 690 838 27.75% 15.11% 57.14%-1.01 +106.2 3
2013-10-11 @ Lynx L 1-348.4 838 690 57.14% 15.11% 27.75%+1.01 -106.2 0
2013-10-26 Gibraltar Phoenix W 3-142.5 784 786 47.46% 15.15% 37.39%+0.32 +72.8 3
2013-10-26 @ College Europa L 1-342.5 786 784 37.39% 15.15% 47.46%-0.32 -72.9 0
2013-11-01 Manchester 62 W 3-144.5 676 725 40.69% 15.15% 44.16%-0.11 +84.0 3
2013-11-01 @ Lions Gibraltar L 1-344.5 725 676 44.16% 15.15% 40.69%+0.11 -84.0 0
2013-11-02 College Europa L 0-138.4 732 857 30.54% 15.13% 54.34%-0.80 -37.4 0
2013-11-02 @ St. Joseph's W 1-038.4 857 732 54.34% 15.13% 30.54%+0.80 +37.4 6
2013-11-02 Gibraltar Phoenix W 3-036.8 757 713 53.56% 15.13% 31.31%+0.74 +104.7 6
2013-11-02 @ Glacis United L 0-336.8 713 757 31.31% 15.13% 53.56%-0.74 -104.7 0
2013-11-04 Lincoln Red Imps D 0-051.1 796 924 30.20% 15.12% 54.68%-0.82 +7.3 4
2013-11-04 @ Lynx D 0-051.1 924 796 54.68% 15.12% 30.20%+0.82 -7.3 1
2013-11-08 Lions Gibraltar L 2-640.4 608 760 27.33% 15.11% 57.56%-1.04 -85.8 0
2013-11-08 @ Gibraltar Phoenix W 6-240.4 760 608 57.56% 15.11% 27.33%+1.04 +85.8 6
2013-11-09 Lincoln Red Imps D 1-153.5 894 916 44.58% 15.15% 40.27%+0.14 -1.1 7
2013-11-09 @ College Europa D 1-153.5 916 894 40.27% 15.15% 44.58%-0.14 +1.1 2
2013-11-09 Lynx W 3-252.6 641 803 26.14% 15.10% 58.76%-1.13 +59.7 3
2013-11-09 @ Manchester 62 L 2-352.6 803 641 58.76% 15.10% 26.14%+1.13 -59.7 4
2013-11-09 St. Joseph's W 1-034.6 862 694 66.86% 15.01% 18.13%+1.86 +23.4 9
2013-11-09 @ Glacis United L 0-134.6 694 862 18.13% 15.01% 66.86%-1.86 -23.4 0
2013-11-22 Gibraltar Phoenix W 5-031.1 701 522 67.84% 15.00% 17.16%+1.97 +98.1 6
2013-11-22 @ Manchester 62 L 0-531.1 522 701 17.16% 15.00% 67.84%-1.97 -98.1 0
2013-11-23 College Europa W 3-252.2 744 893 27.57% 15.11% 57.32%-1.02 +58.3 7
2013-11-23 @ Lynx L 2-352.2 893 744 57.32% 15.11% 27.57%+1.02 -58.3 7
2013-11-23 Glacis United W 4-036.5 918 885 52.06% 15.14% 32.80%+0.64 +142.5 5
2013-11-23 @ Lincoln Red Imps L 0-436.5 885 918 32.80% 15.14% 52.06%-0.64 -142.5 9
2013-11-25 St. Joseph's W 3-240.2 846 671 67.49% 15.00% 17.51%+1.93 +20.3 9
2013-11-25 @ Lions Gibraltar L 2-340.2 671 846 17.51% 15.00% 67.49%-1.93 -20.3 0
2013-11-29 College Europa L 0-238.8 743 835 34.79% 15.14% 50.07%-0.50 -79.0 9
2013-11-29 @ Glacis United W 2-038.8 835 743 50.07% 15.14% 34.79%+0.50 +79.0 10
2013-11-30 Lynx L 0-727.7 424 802 9.16% 14.77% 76.07%-3.10 -74.5 0
2013-11-30 @ Gibraltar Phoenix W 7-027.7 802 424 76.07% 14.77% 9.16%+3.10 +74.5 10
2013-11-30 Manchester 62 L 0-335.7 651 799 27.71% 15.11% 57.18%-1.01 -94.0 0
2013-11-30 @ St. Joseph's W 3-035.7 799 651 57.18% 15.11% 27.71%+1.01 +94.0 9
2013-12-02 Lincoln Red Imps L 0-433.4 866 1060 22.65% 15.07% 62.28%-1.43 -102.5 9
2013-12-02 @ Lions Gibraltar W 4-033.4 1060 866 62.28% 15.07% 22.65%+1.43 +102.5 8
2013-12-04 St. Joseph's L 0-433.0 350 557 21.38% 15.06% 63.56%-1.54 -97.3 0
2013-12-04 @ Gibraltar Phoenix W 4-033.0 557 350 63.56% 15.06% 21.38%+1.54 +97.3 3
2013-12-06 Manchester 62 D 1-153.5 914 893 50.51% 15.14% 34.35%+0.53 -4.2 11
2013-12-06 @ College Europa D 1-153.5 893 914 34.35% 15.14% 50.51%-0.53 +4.2 10
2013-12-08 Lynx L 0-237.9 763 876 32.06% 15.13% 52.81%-0.69 -73.6 9
2013-12-08 @ Lions Gibraltar W 2-037.9 876 763 52.81% 15.13% 32.06%+0.69 +73.6 13
2013-12-13 Lions Gibraltar D 1-153.5 910 690 71.05% 14.93% 14.02%+2.34 -16.1 12
2013-12-13 @ College Europa D 1-153.5 690 910 14.02% 14.93% 71.05%-2.34 +16.1 10
2013-12-14 Glacis United W 4-133.3 950 664 75.21% 14.81% 9.98%+2.95 +30.8 16
2013-12-14 @ Lynx L 1-433.3 664 950 9.98% 14.81% 75.21%-2.95 -30.8 9
2013-12-14 Lincoln Red Imps L 0-134.1 897 1163 16.21% 14.98% 68.81%-2.07 -21.1 10
2013-12-14 @ Manchester 62 W 1-034.1 1163 897 68.81% 14.98% 16.21%+2.07 +21.1 11
2014-01-18 Glacis United W 2-135.6 876 633 72.66% 14.89% 12.45%+2.56 +15.5 13
2014-01-18 @ Manchester 62 L 1-235.6 633 876 12.45% 14.89% 72.66%-2.56 -15.5 9
2014-01-18 St. Joseph's W 5-026.5 1184 654 83.19% 14.13% 2.68%+5.16 +16.1 14
2014-01-18 @ Lincoln Red Imps L 0-526.5 654 1184 2.68% 14.13% 83.19%-5.16 -16.1 3
2014-02-08 Lincoln Red Imps L 0-1623.9 252 1200 0.39% 12.70% 86.91%-8.28 -7.1 0
2014-02-08 @ Gibraltar Phoenix W 16-023.9 1200 252 86.91% 12.70% 0.39%+8.28 +7.1 17
2014-02-10 Glacis United L 3-455.5 706 617 58.91% 15.10% 25.99%+1.15 -58.4 10
2014-02-10 @ Lions Gibraltar W 4-355.5 617 706 25.99% 15.10% 58.91%-1.15 +58.5 12
2014-02-14 College Europa W 2-039.5 892 893 47.47% 15.15% 37.38%+0.33 +84.1 16
2014-02-14 @ Manchester 62 L 0-239.5 893 892 37.38% 15.15% 47.47%-0.33 -84.1 12
2014-02-15 Gibraltar Phoenix W 16-124.0 1207 245 87.50% 12.26% 0.24%+9.09 +3.2 20
2014-02-15 @ Lincoln Red Imps L 1-1624.0 245 1207 0.24% 12.26% 87.50%-9.09 -3.3 0
2014-02-15 Lynx L 2-338.2 638 981 10.97% 14.85% 74.18%-2.78 -13.1 3
2014-02-15 @ St. Joseph's W 3-238.2 981 638 74.18% 14.85% 10.97%+2.78 +13.1 19
2014-03-14 College Europa L 0-1125.2 242 809 3.29% 14.26% 82.45%-4.82 -42.0 0
2014-03-14 @ Gibraltar Phoenix W 11-025.2 809 242 82.45% 14.26% 3.29%+4.82 +42.0 15
2014-03-15 Lincoln Red Imps L 0-427.2 625 1210 2.98% 14.20% 82.83%-4.99 -14.5 3
2014-03-15 @ St. Joseph's W 4-027.2 1210 625 82.83% 14.20% 2.98%+4.99 +14.5 23
2014-03-15 Manchester 62 L 0-729.1 676 976 13.63% 14.92% 71.44%-2.39 -108.7 12
2014-03-15 @ Glacis United W 7-029.1 976 676 71.44% 14.92% 13.63%+2.39 +108.7 19
2014-03-17 Lions Gibraltar W 1-031.3 994 647 78.05% 14.67% 7.28%+3.49 +9.8 22
2014-03-17 @ Lynx L 0-131.3 647 994 7.28% 14.67% 78.05%-3.49 -9.8 10
2014-03-21 Lynx W 3-031.6 1225 1004 71.13% 14.93% 13.94%+2.35 +50.2 26
2014-03-21 @ Lincoln Red Imps L 0-331.6 1004 1225 13.94% 14.93% 71.13%-2.35 -50.2 22
2014-03-22 Lions Gibraltar W 4-027.7 1085 638 81.38% 14.40% 4.22%+4.41 +20.6 22
2014-03-22 @ Manchester 62 L 0-427.7 638 1085 4.22% 14.40% 81.38%-4.41 -20.6 10
2014-03-22 St. Joseph's L 2-455.9 851 610 72.50% 14.90% 12.60%+2.53 -120.8 15
2014-03-22 @ College Europa W 4-255.9 610 851 12.60% 14.90% 72.50%-2.53 +120.8 6
2014-03-24 Glacis United L 2-337.8 200 567 9.69% 14.80% 75.51%-3.00 -11.6 0
2014-03-24 @ Gibraltar Phoenix W 3-237.8 567 200 75.51% 14.80% 9.69%+3.00 +11.6 15
2014-03-28 College Europa W 2-028.7 1275 730 83.45% 14.08% 2.47%+5.29 +6.4 29
2014-03-28 @ Lincoln Red Imps L 0-228.7 730 1275 2.47% 14.08% 83.45%-5.29 -6.4 15
2014-03-29 Gibraltar Phoenix W 1-030.4 617 188 80.87% 14.45% 4.67%+4.24 +6.4 13
2014-03-29 @ Lions Gibraltar L 0-130.4 188 617 4.67% 14.45% 80.87%-4.24 -6.4 0
2014-04-01 Glacis United D 0-051.1 731 578 65.52% 15.03% 19.45%+1.73 -14.3 7
2014-04-01 @ St. Joseph's D 0-051.1 578 731 19.45% 15.03% 65.52%-1.73 +14.3 16
2014-04-02 Manchester 62 D 1-153.5 953 1105 27.32% 15.11% 57.57%-1.04 +8.2 23
2014-04-02 @ Lynx D 1-153.5 1105 953 57.57% 15.11% 27.32%+1.04 -8.2 23
2014-04-05 Lincoln Red Imps L 0-327.5 593 1281 1.68% 13.83% 84.49%-5.92 -6.3 16
2014-04-05 @ Glacis United W 3-027.5 1281 593 84.49% 13.83% 1.68%+5.92 +6.3 32
2014-04-05 Lynx W 3-047.3 724 962 18.53% 15.02% 66.45%-1.82 +206.8 18
2014-04-05 @ College Europa L 0-347.3 962 724 66.45% 15.02% 18.53%+1.82 -206.8 23
2014-04-07 Manchester 62 L 0-525.4 182 1097 0.47% 12.85% 86.67%-7.98 -2.8 0
2014-04-07 @ Gibraltar Phoenix W 5-025.4 1097 182 86.67% 12.85% 0.47%+7.98 +2.8 26
2014-04-11 Glacis United L 1-255.2 931 587 77.97% 14.68% 7.35%+3.47 -84.3 18
2014-04-11 @ College Europa W 2-155.2 587 931 7.35% 14.68% 77.97%-3.47 +84.3 19
2014-04-12 Gibraltar Phoenix W 8-230.2 755 179 83.95% 13.97% 2.08%+5.57 +10.1 26
2014-04-12 @ Lynx L 2-830.2 179 755 2.08% 13.97% 83.95%-5.57 -10.2 0
2014-04-12 St. Joseph's W 2-029.9 1100 717 79.44% 14.58% 5.98%+3.82 +15.3 29
2014-04-12 @ Manchester 62 L 0-229.9 717 1100 5.98% 14.58% 79.44%-3.82 -15.3 7
2014-04-14 Lions Gibraltar W 4-130.4 1287 623 85.11% 13.63% 1.27%+6.38 +4.0 35
2014-04-14 @ Lincoln Red Imps L 1-430.4 623 1287 1.27% 13.63% 85.11%-6.38 -4.0 13
2014-05-02 Lynx L 0-238.7 671 765 34.54% 15.14% 50.32%-0.52 -78.5 19
2014-05-02 @ Glacis United W 2-038.7 765 671 50.32% 15.14% 34.54%+0.52 +78.5 29
2014-05-03 College Europa D 1-153.5 619 847 19.45% 15.03% 65.52%-1.73 +12.8 14
2014-05-03 @ Lions Gibraltar D 1-153.5 847 619 65.52% 15.03% 19.45%+1.73 -12.8 19
2014-05-03 Gibraltar Phoenix W 6-129.3 701 169 83.24% 14.12% 2.64%+5.18 +13.2 10
2014-05-03 @ St. Joseph's L 1-629.3 169 701 2.64% 14.12% 83.24%-5.18 -13.2 0
2014-05-03 Manchester 62 D 1-153.8 1291 1115 67.63% 15.00% 17.37%+1.94 -14.0 36
2014-05-03 @ Lincoln Red Imps D 1-153.8 1115 1291 17.37% 15.00% 67.63%-1.94 +14.0 30
2014-05-07 Lions Gibraltar W 4-242.2 715 632 58.22% 15.10% 26.68%+1.09 +48.5 13
2014-05-07 @ St. Joseph's L 2-442.2 632 715 26.68% 15.10% 58.22%-1.09 -48.5 14

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 2014-04-11 7.35% Glacis United 587 2 @ College Europa 931 1
2 2014-03-22 12.60% St. Joseph's 610 4 @ College Europa 851 2
3 2014-04-05 18.53% @ College Europa 724 3 Lynx 962 0
4 2014-02-10 25.99% Glacis United 617 4 @ Lions Gibraltar 706 3
5 2013-11-09 26.14% @ Manchester 62 641 3 Lynx 803 2
6 2013-11-23 27.57% @ Lynx 744 3 College Europa 893 2
7 2013-10-11 27.75% @ Lynx 690 3 St. Joseph's 838 1
8 2013-11-01 40.69% @ Lions Gibraltar 676 3 Manchester 62 725 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 2014-04-05 206.84 @ College Europa 3 724 18.53% Lynx 0 962 66.45% 15.02%
2 2013-11-23 142.50 @ Lincoln Red Imps 4 918 52.06% Glacis United 0 885 32.80% 15.14%
3 2014-03-22 120.84 St. Joseph's 4 610 12.60% @ College Europa 2 851 72.50% 14.90%
4 2014-03-15 108.75 Manchester 62 7 976 71.44% @ Glacis United 0 676 13.63% 14.92%
5 2013-10-11 106.17 @ Lynx 3 690 27.75% St. Joseph's 1 838 57.14% 15.11%
6 2013-11-02 104.72 @ Glacis United 3 757 53.56% Gibraltar Phoenix 0 713 31.31% 15.13%
7 2013-12-02 102.53 Lincoln Red Imps 4 1060 62.28% @ Lions Gibraltar 0 866 22.65% 15.07%
8 2013-11-22 98.06 @ Manchester 62 5 701 67.84% Gibraltar Phoenix 0 522 17.16% 15.00%
9 2013-12-04 97.33 St. Joseph's 4 557 63.56% @ Gibraltar Phoenix 0 350 21.38% 15.06%
10 2013-11-30 94.03 Manchester 62 3 799 57.18% @ St. Joseph's 0 651 27.71% 15.11%
11 2013-11-08 85.80 Lions Gibraltar 6 760 57.56% @ Gibraltar Phoenix 2 608 27.33% 15.11%
12 2014-04-11 84.34 Glacis United 2 587 7.35% @ College Europa 1 931 77.97% 14.68%
13 2014-02-14 84.10 @ Manchester 62 2 892 47.47% College Europa 0 893 37.38% 15.15%
14 2013-11-01 83.99 @ Lions Gibraltar 3 676 40.69% Manchester 62 1 725 44.16% 15.15%
15 2013-11-29 79.04 College Europa 2 835 50.07% @ Glacis United 0 743 34.79% 15.14%
16 2014-05-02 78.54 Lynx 2 765 50.32% @ Glacis United 0 671 34.54% 15.14%
17 2013-11-30 74.48 Lynx 7 802 76.07% @ Gibraltar Phoenix 0 424 9.16% 14.77%
18 2013-12-08 73.60 Lynx 2 876 52.81% @ Lions Gibraltar 0 763 32.06% 15.13%
19 2013-10-26 72.85 @ College Europa 3 784 47.46% Gibraltar Phoenix 1 786 37.39% 15.15%
20 2013-11-09 59.74 @ Manchester 62 3 641 26.14% Lynx 2 803 58.76% 15.10%
21 2014-02-10 58.45 Glacis United 4 617 25.99% @ Lions Gibraltar 3 706 58.91% 15.10%
22 2013-11-23 58.32 @ Lynx 3 744 27.57% College Europa 2 893 57.32% 15.11%
23 2014-03-21 50.16 @ Lincoln Red Imps 3 1225 71.13% Lynx 0 1004 13.94% 14.93%
24 2014-05-07 48.48 @ St. Joseph's 4 715 58.22% Lions Gibraltar 2 632 26.68% 15.10%
25 2014-03-14 42.01 College Europa 11 809 82.45% @ Gibraltar Phoenix 0 242 3.29% 14.26%

Most & Least Exciting Games

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

# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2014-03-22 55.9 St. Joseph's 4 610 12.60% @ College Europa 2 851 72.50% 14.90%
2 2014-02-10 55.5 Glacis United 4 617 25.99% @ Lions Gibraltar 3 706 58.91% 15.10%
3 2014-04-11 55.2 Glacis United 2 587 7.35% @ College Europa 1 931 77.97% 14.68%
4 2014-05-03 53.8 @ Lincoln Red Imps 1 1291 67.63% Manchester 62 1 1115 17.37% 15.00%
5 2013-11-09 53.5 @ College Europa 1 894 44.58% Lincoln Red Imps 1 916 40.27% 15.15%
6 2013-12-06 53.5 @ College Europa 1 914 50.51% Manchester 62 1 893 34.35% 15.14%
7 2013-12-13 53.5 @ College Europa 1 910 71.05% Lions Gibraltar 1 690 14.02% 14.93%
8 2014-04-02 53.5 @ Lynx 1 953 27.32% Manchester 62 1 1105 57.57% 15.11%
9 2014-05-03 53.5 @ Lions Gibraltar 1 619 19.45% College Europa 1 847 65.52% 15.03%
10 2013-11-09 52.6 @ Manchester 62 3 641 26.14% Lynx 2 803 58.76% 15.10%
11 2013-11-23 52.2 @ Lynx 3 744 27.57% College Europa 2 893 57.32% 15.11%
12 2013-11-04 51.1 @ Lynx 0 796 30.20% Lincoln Red Imps 0 924 54.68% 15.12%
13 2014-04-01 51.1 @ St. Joseph's 0 731 65.52% Glacis United 0 578 19.45% 15.03%
14 2013-10-11 48.4 @ Lynx 3 690 27.75% St. Joseph's 1 838 57.14% 15.11%
15 2014-04-05 47.3 @ College Europa 3 724 18.53% Lynx 0 962 66.45% 15.02%
16 2013-10-07 46.0 @ Glacis United 3 718 48.04% Lions Gibraltar 2 715 36.81% 15.15%
17 2013-11-01 44.5 @ Lions Gibraltar 3 676 40.69% Manchester 62 1 725 44.16% 15.15%
18 2013-10-26 42.5 @ College Europa 3 784 47.46% Gibraltar Phoenix 1 786 37.39% 15.15%
19 2014-05-07 42.2 @ St. Joseph's 4 715 58.22% Lions Gibraltar 2 632 26.68% 15.10%
20 2013-11-08 40.4 Lions Gibraltar 6 760 57.56% @ Gibraltar Phoenix 2 608 27.33% 15.11%
21 2013-11-25 40.2 @ Lions Gibraltar 3 846 67.49% St. Joseph's 2 671 17.51% 15.00%
22 2014-02-14 39.5 @ Manchester 62 2 892 47.47% College Europa 0 893 37.38% 15.15%
23 2013-11-29 38.8 College Europa 2 835 50.07% @ Glacis United 0 743 34.79% 15.14%
24 2014-05-02 38.7 Lynx 2 765 50.32% @ Glacis United 0 671 34.54% 15.14%
25 2013-11-02 38.4 College Europa 1 857 54.34% @ St. Joseph's 0 732 30.54% 15.13%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2014-02-08 23.9 Lincoln Red Imps 16 1200 86.91% @ Gibraltar Phoenix 0 252 0.39% 12.70%
2 2014-02-15 24.0 @ Lincoln Red Imps 16 1207 87.50% Gibraltar Phoenix 1 245 0.24% 12.26%
3 2014-03-14 25.2 College Europa 11 809 82.45% @ Gibraltar Phoenix 0 242 3.29% 14.26%
4 2014-04-07 25.4 Manchester 62 5 1097 86.67% @ Gibraltar Phoenix 0 182 0.47% 12.85%
5 2014-01-18 26.5 @ Lincoln Red Imps 5 1184 83.19% St. Joseph's 0 654 2.68% 14.13%
6 2014-03-15 27.2 Lincoln Red Imps 4 1210 82.83% @ St. Joseph's 0 625 2.98% 14.20%
7 2014-04-05 27.5 Lincoln Red Imps 3 1281 84.49% @ Glacis United 0 593 1.68% 13.83%
8 2013-11-30 27.7 Lynx 7 802 76.07% @ Gibraltar Phoenix 0 424 9.16% 14.77%
9 2014-03-22 27.7 @ Manchester 62 4 1085 81.38% Lions Gibraltar 0 638 4.22% 14.40%
10 2014-03-28 28.7 @ Lincoln Red Imps 2 1275 83.45% College Europa 0 730 2.47% 14.08%
11 2014-03-15 29.1 Manchester 62 7 976 71.44% @ Glacis United 0 676 13.63% 14.92%
12 2014-05-03 29.3 @ St. Joseph's 6 701 83.24% Gibraltar Phoenix 1 169 2.64% 14.12%
13 2014-04-12 29.9 @ Manchester 62 2 1100 79.44% St. Joseph's 0 717 5.98% 14.58%
14 2014-04-12 30.2 @ Lynx 8 755 83.95% Gibraltar Phoenix 2 179 2.08% 13.97%
15 2014-03-29 30.4 @ Lions Gibraltar 1 617 80.87% Gibraltar Phoenix 0 188 4.67% 14.45%
16 2014-04-14 30.4 @ Lincoln Red Imps 4 1287 85.11% Lions Gibraltar 1 623 1.27% 13.63%
17 2013-11-22 31.1 @ Manchester 62 5 701 67.84% Gibraltar Phoenix 0 522 17.16% 15.00%
18 2014-03-17 31.3 @ Lynx 1 994 78.05% Lions Gibraltar 0 647 7.28% 14.67%
19 2014-03-21 31.6 @ Lincoln Red Imps 3 1225 71.13% Lynx 0 1004 13.94% 14.93%
20 2013-12-04 33.0 St. Joseph's 4 557 63.56% @ Gibraltar Phoenix 0 350 21.38% 15.06%
21 2013-12-14 33.3 @ Lynx 4 950 75.21% Glacis United 1 664 9.98% 14.81%
22 2013-12-02 33.4 Lincoln Red Imps 4 1060 62.28% @ Lions Gibraltar 0 866 22.65% 15.07%
23 2013-12-14 34.1 Lincoln Red Imps 1 1163 68.81% @ Manchester 62 0 897 16.21% 14.98%
24 2013-11-09 34.6 @ Glacis United 1 862 66.86% St. Joseph's 0 694 18.13% 15.01%
25 2014-01-18 35.6 @ Manchester 62 2 876 72.66% Glacis United 1 633 12.45% 14.89%