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1984-85 Maltese Premier League Season

52 games

Final

Champion

Rabat Ajax

17 points

Relegated

No relegation

Biggest Overachiever

Hibernians

3.30 points above expected

14 points · 10.70 expected points

Biggest Disappointment

Marsa

6.83 points below expected

1 points · 7.83 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 Rabat Ajax 13 5 7 1 17 19 12 +7 15.54 +1.46
2 Hamrun Spartans 13 4 8 1 16 18 8 +10 15.82 +0.18
3 Sliema Wanderers 13 5 5 3 15 13 10 +3 13.46 +1.54
4 Zurrieq 13 5 4 4 14 18 14 +4 14.45 -0.45
5 Valletta 13 6 2 5 14 18 15 +3 13.42 +0.58
6 Hibernians 13 5 4 4 14 14 12 +2 10.70 +3.30
7 Floriana 13 4 5 4 13 11 11 0 12.78 +0.22
8 Marsa 13 0 1 12 1 6 35 -29 7.83 -6.83

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 Hibernians 14 10.70 +3.30
2 Sliema Wanderers 15 13.46 +1.54
3 Rabat Ajax 17 15.54 +1.46
4 Valletta 14 13.42 +0.58
5 Floriana 13 12.78 +0.22

Biggest Disappointments

# Team Actual Sim vsSim
1 Marsa 1 7.83 -6.83
2 Zurrieq 14 14.45 -0.45
3 Hamrun Spartans 16 15.82 +0.18
4 Floriana 13 12.78 +0.22
5 Valletta 14 13.42 +0.58

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
Rabat Ajax 1104 17 +13 7 6.5 +0.5
Hamrun Spartans 1111 16 +41 7 6.2 +0.8
Sliema Wanderers 1014 15 +15 7 5.3 +1.7
Valletta 1024 14 +15 6 5.2 +0.8
Zurrieq 1026 14 -12 5 5.9 -0.9
Hibernians 978 14 +21 5 4.0 +1.0
Floriana 955 13 -38 3 4.3 -1.3
Marsa 717 1 -54 0 2.5 -2.5

Head-to-Head

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

Beat expectations Fell short Within expectations
Team FLO HS HIB MAR RA SW VAL ZUR
Floriana —
0-2-0
1.88
1-0-0
1.79
2-0-0
3.55
0-0-2
2.29
0-1-1
2.53
1-0-1
2.34
0-2-0
2.26
Hamrun Spartans
0-2-0
3.40
—
1-1-0
3.68
2-0-0
3.59
0-1-0
1.10
0-2-0
3.14
1-1-0
3.14
0-1-1
3.21
Hibernians
0-0-1
0.85
0-1-1
1.61
—
2-0-0
3.48
0-2-0
1.74
0-0-2
2.11
1-1-0
2.10
2-0-0
1.92
Marsa
0-0-2
1.75
0-0-2
1.74
0-0-2
1.80
—
0-1-1
0.97
0-0-2
1.29
0-0-1
0.61
0-0-2
1.36
Rabat Ajax
2-0-0
2.98
0-1-0
1.53
0-2-0
3.55
1-1-0
4.43
—
0-2-0
3.13
1-0-1
2.81
1-1-0
2.92
Sliema Wanderers
1-1-0
2.74
0-2-0
2.14
2-0-0
3.17
2-0-0
4.04
0-2-0
2.15
—
0-0-2
2.65
0-0-1
1.14
Valletta
1-0-1
2.92
0-1-1
2.14
0-1-1
3.17
1-0-0
2.05
1-0-1
2.46
2-0-0
2.62
—
1-0-1
2.24
Zurrieq
0-2-0
3.01
1-1-0
2.07
0-0-2
3.37
2-0-0
3.98
0-1-1
2.36
1-0-0
1.49
1-0-1
3.04
—

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 0.71 +9.3
Allowed 0.92 -5.7
Differential 0.98 +4.1

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
019.23%4.81%8.65%1.92%0.96%0.96%36.54%
14.81%13.46%7.69%4.81%0.96%—31.73%
28.65%7.69%1.92%0.96%—0.96%20.19%
31.92%4.81%0.96%———7.69%
40.96%0.96%————1.92%
5+0.96%—0.96%———1.92%
Total36.54%31.73%20.19%7.69%1.92%1.92%100%

Summary Statistics

Scored Allowed Difference
Mean 1.12 1.12 +0.00
SD 1.16 1.16 1.69
CV 1.03 1.03 —
Max 5 5 +5
Min 0 0 -5

Games Played: 52

↓ Scored | Allowed →012345+Total
023.08%7.69%7.69%———38.46%
17.69%15.38%7.69%7.69%——38.46%
215.38%7.69%————23.08%
3———————
4———————
5+———————
Total46.15%30.77%15.38%7.69%——100%

Summary Statistics

Scored Allowed Difference
Mean 0.85 0.85 +0.00
SD 0.80 0.99 1.29
CV 0.95 1.17 —
Max 2 3 +2
Min 0 0 -2

Games Played: 13

↓ Scored | Allowed →012345+Total
038.46%—————38.46%
1—15.38%7.69%———23.08%
2—7.69%7.69%———15.38%
37.69%—————7.69%
47.69%7.69%————15.38%
5+———————
Total53.85%30.77%15.38%———100%

Summary Statistics

Scored Allowed Difference
Mean 1.38 0.62 +0.77
SD 1.50 0.77 1.54
CV 1.08 1.25 —
Max 4 2 +4
Min 0 0 -1

Games Played: 13

↓ Scored | Allowed →012345+Total
015.38%7.69%7.69%———30.77%
17.69%15.38%15.38%———38.46%
27.69%15.38%————23.08%
3—7.69%————7.69%
4———————
5+———————
Total30.77%46.15%23.08%———100%

Summary Statistics

Scored Allowed Difference
Mean 1.08 0.92 +0.15
SD 0.95 0.76 1.21
CV 0.89 0.82 —
Max 3 2 +2
Min 0 0 -2

Games Played: 13

↓ Scored | Allowed →012345+Total
0—15.38%15.38%15.38%7.69%7.69%61.54%
1—7.69%7.69%15.38%——30.77%
2—————7.69%7.69%
3———————
4———————
5+———————
Total—23.08%23.08%30.77%7.69%15.38%100%

Summary Statistics

Scored Allowed Difference
Mean 0.46 2.69 -2.23
SD 0.66 1.38 1.36
CV 1.43 0.51 —
Max 2 5 +0
Min 0 1 -5

Games Played: 13

↓ Scored | Allowed →012345+Total
015.38%—————15.38%
17.69%30.77%—7.69%——46.15%
27.69%—7.69%———15.38%
37.69%7.69%7.69%———23.08%
4———————
5+———————
Total38.46%38.46%15.38%7.69%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.46 0.92 +0.54
SD 1.05 0.95 1.27
CV 0.72 1.03 —
Max 3 3 +3
Min 0 0 -2

Games Played: 13

↓ Scored | Allowed →012345+Total
023.08%7.69%7.69%———38.46%
17.69%15.38%7.69%———30.77%
27.69%15.38%————23.08%
3—7.69%————7.69%
4———————
5+———————
Total38.46%46.15%15.38%———100%

Summary Statistics

Scored Allowed Difference
Mean 1.00 0.77 +0.23
SD 1.00 0.73 1.17
CV 1.00 0.94 —
Max 3 2 +2
Min 0 0 -2

Games Played: 13

↓ Scored | Allowed →012345+Total
015.38%—30.77%———46.15%
1————7.69%—7.69%
215.38%7.69%————23.08%
3—15.38%————15.38%
4———————
5+7.69%—————7.69%
Total38.46%23.08%30.77%—7.69%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.38 1.15 +0.23
SD 1.61 1.21 2.35
CV 1.16 1.05 —
Max 5 4 +5
Min 0 0 -3

Games Played: 13

↓ Scored | Allowed →012345+Total
023.08%—————23.08%
17.69%7.69%15.38%7.69%——38.46%
215.38%7.69%—7.69%——30.77%
3———————
4———————
5+——7.69%———7.69%
Total46.15%15.38%23.08%15.38%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.38 1.08 +0.31
SD 1.33 1.19 1.44
CV 0.96 1.10 —
Max 5 3 +3
Min 0 0 -2

Games Played: 13

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
Hamrun Spartans 1111 16 15.82 +0.18 57.0% 9 11 14 16 18 20 24
Rabat Ajax 1104 17 15.54 +1.46 76.0% 8 11 14 15 17 20 22
Zurrieq 1026 14 14.45 -0.45 50.0% 10 10 13 14 16 19 22
Valletta 1024 14 13.42 +0.58 66.0% 6 8 12 13 15 18 20
Sliema Wanderers 1014 15 13.46 +1.54 79.0% 6 9 12 13 15 19 23
Hibernians 978 14 10.70 +3.30 95.0% 5 7 9 11 12 14 16
Floriana 955 13 12.78 +0.22 56.0% 6 7 10 13 15 18 22
Marsa 717 1 7.83 -6.83 0.0% 2 4 6 8 9 12 14

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 -3% * Slight Edge: -3% to 3.5% * Clear Edge: 3.5% to 8.5% * Strong Edge: 8.5% and up.
Elo Value
Number of Elo rating points one goal is worth. A team this many Elo points better than another is expected to win by one goal on a neutral field.
Scoring Tilt
Average home goals minus average away goals per match. The gold line is the home goals edge implied by the scoring value of an Elo point and the home-field Elo bonus.
Road-Tilted: under -0.2 * Neutral: -0.2 to 0.5 * Home-Tilted: 0.5 to 1.2 * Strong Home: 1.2 and up.
Home Edge
HomeDrawAway
+15.38%
Strong Edge
40.38%34.62%25.00%
Elo Value
Home Edge
171 Elo
0.006 goals per Elo point
053.88500
Scoring Tilt
Expected
+0.29 goals
Neutral
-2+0.32+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 0.08 * Tight Race: 0.08 to 0.21 * Comfortable: 0.21 to 0.29 * Runaway: 0.29 and up.
Title-Race Openness
4.8
Wide Open
12348
Champion Preseason Odds
24%
Rabat Ajax, 2nd of 8
LongshotFavorite
Title Margin
Expected
0.08/gm
Photo Finish
00.150.5/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread
Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 2.23 * Some Luck: 2.23 to 3.35 * Lucky: 3.35 to 4.46 * Wild Swing: 4.46 and up.
Average Finish Error
Average gap between where each team was projected to finish and where they actually finished in the table.
Pinpoint: under 1.16 * Close: 1.16 to 1.74 * Off: 1.74 to 2.33 * Way Off: 2.33 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
2.80 points
Some Luck
02.797
Average Finish Error
Expected
0.75
Pinpoint
01.453
Biggest Overachiever
Expected 93.75%
95.00%
Hibernians
50100
Biggest Underachiever
Expected
0.00%
Marsa
06.25%50
Season Outliers
Expected
1 of 8
Minimal Outliers
00.88

Parity

How these are measured

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

Gini Index
How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.2 * Even: 0.2 to 0.23 * Top-Heavy: 0.23 to 0.27 * Lopsided: 0.27 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 1.65 * Moderate Separation: 1.65 to 2 * Strong Separation: 2 to 2.25 * Wide Separation: 2.25 and up.
Interquartile Edge
Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 72.5% * Slight Edge: 72.5% to 79% * Clear Edge: 79% to 84% * Wide Edge: 84% 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 92.5% * Clear Edge: 92.5% to 95.5% * Strong Edge: 95.5% to 98% * Dominant: 98% 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 50.5% * Some Drama: 50.5% to 56.5% * Frequent: 56.5% to 62% * Very Frequent: 62% 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 16.5% * Occasional: 16.5% to 22% * Frequent: 22% to 26% * Very Frequent: 26% and up.
Gini Index
0.16
Balanced
00.20.270.5
Noll-Scully
Elo SD: 123.26
1.72
Moderate Separation
0.951.6522.253
Interquartile Edge
60%
Even
50%72.5%79%84%100%
Best vs. Worst
Baseline
91%
Even
50%90%100%
Close Games
Expected
62%
Frequent
0%63%100%
Blowouts
Expected
12%
Rare
0%14%100%

Predictability

How these are measured

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

Brier Score
How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance
How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.42 * Slight Separation: 0.42 to 0.46 * Notable Separation: 0.46 to 0.51 * Lopsided: 0.51 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 0.57 * Some Carryover: 0.57 to 0.74 * Strong Carryover: 0.74 to 0.83 * Near-Lock: 0.83 and up.
Upset Rate
Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 16% * As Expected: 16% to 18.5% * Upset-Prone: 18.5% to 23% * Very Upset-Prone: 23% and up.
Clear Favorite Upset Rate
Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 12% * As Expected: 12% to 15.5% * Shaky Favorites: 15.5% to 19.5% * Very Shaky: 19.5% and up.
Brier Score
Expected
0.60
Predictable
00.622
Matchup Imbalance
0.39
Very Even
00.420.5
Strangeness
Expected
1.33
Wilder Than Modeled
01.002
Repeatability
0.76
Strong Carryover
00.570.741
Upset Rate
Expected
17%
As Expected
0%20%50%
Clear Favorite Upset Rate
Expected
12%
Solid Favorites
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 0.24 * Near Noise Ceiling: 0.24 to 0.36 * Above Noise: 0.36 to 0.47 * Well Above Noise: 0.47 and up.
Probability calibration
1.00
Excellent
0.010.050.10.51
Calibration slope
Ideal
1.32
Very Underconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.105
Well Within Noise
00.2370.6

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
Rabat Ajax24.00%27.00%15.00%17.00%9.00%5.00%2.00%1.00%
Hamrun Spartans31.00%24.00%15.00%14.00%10.00%4.00%2.00%—
Sliema Wanderers9.00%10.00%16.00%18.00%14.00%15.00%16.00%2.00%
Zurrieq17.00%17.00%15.00%14.00%16.00%13.00%8.00%—
Valletta11.00%12.00%18.00%14.00%17.00%16.00%8.00%4.00%
Hibernians—2.00%4.00%8.00%19.00%28.00%27.00%12.00%
Floriana8.00%8.00%16.00%15.00%11.00%14.00%18.00%10.00%
Marsa——1.00%—4.00%5.00%19.00%71.00%

Points Required Per Position

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

Next-Season Status

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

Team Same level Direct relegation
Hamrun Spartans 98.00% 2.00%
Rabat Ajax 97.00% 3.00%
Zurrieq 92.00% 8.00%
Valletta 88.00% 12.00%
Sliema Wanderers 82.00% 18.00%
Floriana 72.00% 28.00%
Hibernians 61.00% 39.00%
Marsa 10.00% 90.00%

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
1984-09-11 Valletta W 2-039.7 947 1025 32.13% 36.67% 31.20%-0.14 +32.8 2
1984-09-11 @ Floriana L 0-239.7 1025 947 31.20% 36.67% 32.13%+0.14 -32.8 0
1984-09-11 Hamrun Spartans L 0-437.8 941 1028 30.78% 36.64% 32.58%-0.19 -61.7 0
1984-09-11 @ Marsa W 4-037.8 1028 941 32.58% 36.64% 30.78%+0.19 +61.7 2
1984-09-11 Zurrieq D 0-045.3 1063 1020 46.88% 36.15% 16.97%+0.57 -3.5 1
1984-09-11 @ Rabat Ajax D 0-045.3 1020 1063 16.97% 36.15% 46.88%-0.57 +3.5 1
1984-09-11 Hibernians W 1-037.7 989 915 49.85% 35.76% 14.40%+0.75 +10.2 2
1984-09-11 @ Sliema Wanderers L 0-137.7 915 989 14.40% 35.76% 49.85%-0.75 -10.2 0
1984-09-25 Hamrun Spartans D 0-045.1 980 1089 27.78% 36.52% 35.71%-0.32 +0.8 3
1984-09-25 @ Floriana D 0-045.1 1089 980 35.71% 36.52% 27.78%+0.32 -0.8 3
1984-09-25 Marsa W 1-039.1 905 879 45.16% 36.32% 18.51%+0.47 +12.3 2
1984-09-25 @ Hibernians L 0-139.1 879 905 18.51% 36.32% 45.16%-0.47 -12.3 0
1984-09-25 Rabat Ajax D 0-045.1 999 1059 34.52% 36.70% 28.78%-0.04 -0.6 3
1984-09-25 @ Sliema Wanderers D 0-045.1 1059 999 28.78% 36.70% 34.52%+0.04 +0.6 2
1984-09-25 Valletta W 2-035.6 1024 992 45.73% 36.27% 18.00%+0.50 +22.8 3
1984-09-25 @ Zurrieq L 0-235.6 992 1024 18.00% 36.27% 45.73%-0.50 -22.8 0
1984-10-09 Sliema Wanderers L 0-239.8 917 998 31.66% 36.66% 31.68%-0.16 -33.1 2
1984-10-09 @ Hibernians W 2-039.8 998 917 31.68% 36.66% 31.66%+0.16 +33.1 5
1984-10-09 Floriana L 0-238.4 867 981 27.11% 36.48% 36.40%-0.35 -29.9 0
1984-10-09 @ Marsa W 2-038.4 981 867 36.40% 36.48% 27.11%+0.35 +29.9 5
1984-10-09 Hamrun Spartans D 2-256.2 1060 1089 38.72% 36.66% 24.61%+0.15 -1.0 3
1984-10-09 @ Rabat Ajax D 2-256.2 1089 1060 24.61% 36.66% 38.72%-0.15 +1.0 4
1984-10-09 Zurrieq W 3-145.5 969 1046 32.20% 36.67% 31.13%-0.14 +28.4 2
1984-10-09 @ Valletta L 1-345.5 1046 969 31.13% 36.67% 32.20%+0.14 -28.4 3
1984-10-16 Rabat Ajax L 0-144.5 1011 1059 36.18% 36.70% 27.12%+0.03 -19.2 5
1984-10-16 @ Floriana W 1-044.5 1059 1011 27.12% 36.70% 36.18%-0.03 +19.2 5
1984-10-16 Hamrun Spartans D 0-045.1 1031 1090 34.84% 36.70% 28.46%-0.02 -0.7 6
1984-10-16 @ Sliema Wanderers D 0-045.1 1090 1031 28.46% 36.70% 34.84%+0.02 +0.7 5
1984-10-16 Marsa W 5-031.0 998 837 56.88% 34.09% 9.04%+1.26 +30.8 4
1984-10-16 @ Valletta L 0-531.0 837 998 9.04% 34.09% 56.88%-1.26 -30.8 0
1984-10-16 Hibernians L 1-255.5 1018 884 54.89% 34.69% 10.43%+1.10 -25.6 3
1984-10-16 @ Zurrieq W 2-155.5 884 1018 10.43% 34.69% 54.89%-1.10 +25.6 4
1984-10-23 Marsa W 1-035.1 992 806 58.55% 33.49% 7.96%+1.41 +6.2 7
1984-10-23 @ Floriana L 0-135.1 806 992 7.96% 33.49% 58.55%-1.41 -6.2 0
1984-10-23 Hamrun Spartans D 0-045.4 910 1090 19.58% 35.77% 44.65%-0.74 +2.8 5
1984-10-23 @ Hibernians D 0-045.4 1090 910 44.65% 35.77% 19.58%+0.74 -2.8 6
1984-10-23 Rabat Ajax W 3-144.3 1028 1078 35.97% 36.70% 27.33%+0.02 +26.1 6
1984-10-23 @ Valletta L 1-344.3 1078 1028 27.33% 36.70% 35.97%-0.02 -26.1 5
1984-10-23 Sliema Wanderers W 1-041.4 992 1031 37.46% 36.69% 25.86%+0.09 +15.4 5
1984-10-23 @ Zurrieq L 0-141.4 1031 992 25.86% 36.69% 37.46%-0.09 -15.4 6
1984-11-07 Marsa W 3-028.3 1087 800 64.59% 30.55% 4.86%+2.00 +10.3 8
1984-11-07 @ Hamrun Spartans L 0-328.3 800 1087 4.86% 30.55% 64.59%-2.00 -10.3 0
1984-11-07 Zurrieq W 2-149.8 913 1008 29.70% 36.60% 33.70%-0.24 +17.2 7
1984-11-07 @ Hibernians L 1-249.8 1008 913 33.70% 36.60% 29.70%+0.24 -17.2 5
1984-11-07 Floriana W 3-140.7 1052 998 48.03% 36.02% 15.95%+0.63 +18.1 7
1984-11-07 @ Rabat Ajax L 1-340.7 998 1052 15.95% 36.02% 48.03%-0.63 -18.1 7
1984-11-07 Valletta L 1-250.9 1015 1055 37.35% 36.69% 25.96%+0.09 -18.5 6
1984-11-07 @ Sliema Wanderers W 2-150.9 1055 1015 25.96% 36.69% 37.35%-0.09 +18.5 8
1984-11-21 Hibernians W 2-144.4 980 930 47.59% 36.07% 16.34%+0.61 +10.6 9
1984-11-21 @ Floriana L 1-244.4 930 980 16.34% 36.07% 47.59%-0.61 -10.6 7
1984-11-21 Sliema Wanderers D 1-150.8 1098 997 52.27% 35.31% 12.41%+0.91 -4.4 9
1984-11-21 @ Hamrun Spartans D 1-150.8 997 1098 12.41% 35.31% 52.27%-0.91 +4.3 7
1984-11-21 Zurrieq L 2-540.3 789 991 17.58% 35.44% 46.98%-0.86 -23.4 0
1984-11-21 @ Marsa W 5-240.3 991 789 46.98% 35.44% 17.58%+0.86 +23.4 7
1984-11-21 Valletta W 2-036.8 1070 1073 41.85% 36.55% 21.60%+0.30 +25.8 9
1984-11-21 @ Rabat Ajax L 0-236.8 1073 1070 21.60% 36.55% 41.85%-0.30 -25.8 8
1984-12-05 Zurrieq L 1-254.5 1093 1014 50.40% 35.67% 13.93%+0.78 -23.7 9
1984-12-05 @ Hamrun Spartans W 2-154.5 1014 1093 13.93% 35.67% 50.40%-0.78 +23.7 9
1984-12-05 Valletta W 2-041.7 919 1047 25.41% 36.38% 38.21%-0.43 +37.6 9
1984-12-05 @ Hibernians L 0-241.7 1047 919 38.21% 36.38% 25.41%+0.43 -37.6 8
1984-12-05 Rabat Ajax D 1-151.6 766 1096 9.13% 32.52% 58.35%-1.62 +5.6 1
1984-12-05 @ Marsa D 1-151.6 1096 766 58.35% 32.52% 9.13%+1.62 -5.6 10
1984-12-05 Floriana D 0-045.1 1001 990 43.45% 36.45% 20.10%+0.38 -2.6 8
1984-12-05 @ Sliema Wanderers D 0-045.1 990 1001 20.10% 36.45% 43.45%-0.38 +2.6 10
1984-12-19 Sliema Wanderers D 1-150.8 1090 999 51.50% 35.47% 13.03%+0.85 -4.2 11
1984-12-19 @ Rabat Ajax D 1-150.8 999 1090 13.03% 35.47% 51.50%-0.85 +4.2 9
1984-12-19 Hamrun Spartans L 1-443.7 1010 1070 34.59% 36.70% 28.71%-0.04 -43.0 8
1984-12-19 @ Valletta W 4-143.7 1070 1010 28.71% 36.70% 34.59%+0.04 +43.0 11
1984-12-19 Marsa W 2-030.3 1038 771 63.40% 31.23% 5.38%+1.88 +7.9 11
1984-12-19 @ Zurrieq L 0-230.3 771 1038 5.38% 31.23% 63.40%-1.88 -7.9 1
1985-01-09 Zurrieq D 0-045.1 993 1046 35.59% 36.70% 27.71%+0.01 -0.8 11
1985-01-09 @ Floriana D 0-045.1 1046 993 27.71% 36.70% 35.59%-0.01 +0.8 12
1985-01-09 Marsa W 2-140.1 1003 764 61.85% 32.03% 6.11%+1.72 +4.5 11
1985-01-09 @ Sliema Wanderers L 1-240.1 764 1003 6.11% 32.03% 61.85%-1.72 -4.5 1
1985-01-09 Hibernians D 0-045.1 967 957 43.33% 36.46% 20.21%+0.37 -2.6 9
1985-01-09 @ Valletta D 0-045.1 957 967 20.21% 36.46% 43.33%-0.37 +2.6 10
1985-01-23 Floriana D 1-150.9 1113 992 53.87% 34.95% 11.18%+1.02 -4.7 12
1985-01-23 @ Hamrun Spartans D 1-150.9 992 1113 11.18% 34.95% 53.87%-1.02 +4.7 12
1985-01-23 Hibernians L 1-341.0 759 960 17.64% 35.45% 46.91%-0.86 -19.2 1
1985-01-23 @ Marsa W 3-141.0 960 759 46.91% 35.45% 17.64%+0.86 +19.2 12
1985-01-23 Sliema Wanderers W 2-038.3 964 1007 36.84% 36.69% 26.46%+0.06 +29.5 11
1985-01-23 @ Valletta L 0-238.3 1007 964 26.46% 36.69% 36.84%-0.06 -29.5 11
1985-01-23 Rabat Ajax L 2-355.6 1046 1086 37.28% 36.69% 26.03%+0.08 -17.6 12
1985-01-23 @ Zurrieq W 3-255.6 1086 1046 26.03% 36.69% 37.28%-0.08 +17.5 13
1985-01-30 Hibernians W 2-142.3 1108 979 54.54% 34.78% 10.68%+1.07 +7.6 14
1985-01-30 @ Hamrun Spartans L 1-242.3 979 1108 10.68% 34.78% 54.54%-1.07 -7.6 12
1985-01-30 Sliema Wanderers L 1-339.9 740 978 14.56% 34.76% 50.68%-1.08 -16.5 1
1985-01-30 @ Marsa W 3-139.9 978 740 50.68% 34.76% 14.56%+1.08 +16.5 13
1985-01-30 Floriana W 2-036.8 994 997 41.83% 36.55% 21.62%+0.30 +25.8 13
1985-01-30 @ Valletta L 0-236.8 997 994 21.62% 36.55% 41.83%-0.30 -25.8 12
1985-02-06 Valletta D 0-045.5 1115 1020 51.86% 35.40% 12.74%+0.88 -4.8 15
1985-02-06 @ Hamrun Spartans D 0-045.5 1020 1115 12.74% 35.40% 51.86%-0.88 +4.8 14
1985-02-06 Marsa W 3-026.8 1104 723 69.37% 27.43% 3.20%+2.55 +6.3 15
1985-02-06 @ Rabat Ajax L 0-326.8 723 1104 3.20% 27.43% 69.37%-2.55 -6.3 1
1985-02-06 Floriana D 1-150.6 1029 971 48.38% 35.97% 15.65%+0.65 -3.4 13
1985-02-06 @ Zurrieq D 1-150.6 971 1029 15.65% 35.97% 48.38%-0.65 +3.4 13
1985-02-20 Sliema Wanderers L 1-251.6 974 994 39.83% 36.63% 23.54%+0.20 -19.4 13
1985-02-20 @ Floriana W 2-151.6 994 974 23.54% 36.63% 39.83%-0.20 +19.4 15
1985-02-20 Rabat Ajax D 1-150.5 971 1110 24.08% 36.28% 39.65%-0.50 +1.5 13
1985-02-20 @ Hibernians D 1-150.5 1110 971 39.65% 36.28% 24.08%+0.50 -1.5 16
1985-02-20 Hamrun Spartans D 0-045.1 1025 1111 31.03% 36.64% 32.33%-0.18 +0.1 14
1985-02-20 @ Zurrieq D 0-045.1 1111 1025 32.33% 36.64% 31.03%+0.18 -0.1 16
1985-03-06 Hibernians D 1-151.0 1109 973 55.05% 34.64% 10.30%+1.11 -5.0 17
1985-03-06 @ Rabat Ajax D 1-151.0 973 1109 10.30% 34.64% 55.05%-1.11 +5.0 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 1984-10-16 10.43% Hibernians 884 2 @ Zurrieq 1018 1
2 1984-12-05 13.93% Zurrieq 1014 2 @ Hamrun Spartans 1093 1
3 1985-02-20 23.54% Sliema Wanderers 994 2 @ Floriana 974 1
4 1984-12-05 25.41% @ Hibernians 919 2 Valletta 1047 0
5 1984-11-07 25.96% Valletta 1055 2 @ Sliema Wanderers 1015 1
6 1985-01-23 26.03% Rabat Ajax 1086 3 @ Zurrieq 1046 2
7 1984-10-16 27.12% Rabat Ajax 1059 1 @ Floriana 1011 0
8 1984-12-19 28.71% Hamrun Spartans 1070 4 @ Valletta 1010 1
9 1984-11-07 29.70% @ Hibernians 913 2 Zurrieq 1008 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 1984-09-11 61.69 Hamrun Spartans 4 1028 32.58% @ Marsa 0 941 30.78% 36.64%
2 1984-12-19 43.00 Hamrun Spartans 4 1070 28.71% @ Valletta 1 1010 34.59% 36.70%
3 1984-12-05 37.57 @ Hibernians 2 919 25.41% Valletta 0 1047 38.21% 36.38%
4 1984-10-09 33.11 Sliema Wanderers 2 998 31.68% @ Hibernians 0 917 31.66% 36.66%
5 1984-09-11 32.81 @ Floriana 2 947 32.13% Valletta 0 1025 31.20% 36.67%
6 1984-10-16 30.83 @ Valletta 5 998 56.88% Marsa 0 837 9.04% 34.09%
7 1984-10-09 29.93 Floriana 2 981 36.40% @ Marsa 0 867 27.11% 36.48%
8 1985-01-23 29.54 @ Valletta 2 964 36.84% Sliema Wanderers 0 1007 26.46% 36.69%
9 1984-10-09 28.38 @ Valletta 3 969 32.20% Zurrieq 1 1046 31.13% 36.67%
10 1984-10-23 26.12 @ Valletta 3 1028 35.97% Rabat Ajax 1 1078 27.33% 36.70%
11 1985-01-30 25.84 @ Valletta 2 994 41.83% Floriana 0 997 21.62% 36.55%
12 1984-11-21 25.83 @ Rabat Ajax 2 1070 41.85% Valletta 0 1073 21.60% 36.55%
13 1984-10-16 25.65 Hibernians 2 884 10.43% @ Zurrieq 1 1018 54.89% 34.69%
14 1984-12-05 23.70 Zurrieq 2 1014 13.93% @ Hamrun Spartans 1 1093 50.40% 35.67%
15 1984-11-21 23.41 Zurrieq 5 991 46.98% @ Marsa 2 789 17.58% 35.44%
16 1984-09-25 22.77 @ Zurrieq 2 1024 45.73% Valletta 0 992 18.00% 36.27%
17 1985-02-20 19.44 Sliema Wanderers 2 994 23.54% @ Floriana 1 974 39.83% 36.63%
18 1984-10-16 19.21 Rabat Ajax 1 1059 27.12% @ Floriana 0 1011 36.18% 36.70%
19 1985-01-23 19.16 Hibernians 3 960 46.91% @ Marsa 1 759 17.64% 35.45%
20 1984-11-07 18.53 Valletta 2 1055 25.96% @ Sliema Wanderers 1 1015 37.35% 36.69%
21 1984-11-07 18.06 @ Rabat Ajax 3 1052 48.03% Floriana 1 998 15.95% 36.02%
22 1985-01-23 17.56 Rabat Ajax 3 1086 26.03% @ Zurrieq 2 1046 37.28% 36.69%
23 1984-11-07 17.24 @ Hibernians 2 913 29.70% Zurrieq 1 1008 33.70% 36.60%
24 1985-01-30 16.53 Sliema Wanderers 3 978 50.68% @ Marsa 1 740 14.56% 34.76%
25 1984-10-23 15.43 @ Zurrieq 1 992 37.46% Sliema Wanderers 0 1031 25.86% 36.69%

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 1984-10-09 56.2 @ Rabat Ajax 2 1060 38.72% Hamrun Spartans 2 1089 24.61% 36.66%
2 1985-01-23 55.6 Rabat Ajax 3 1086 26.03% @ Zurrieq 2 1046 37.28% 36.69%
3 1984-10-16 55.5 Hibernians 2 884 10.43% @ Zurrieq 1 1018 54.89% 34.69%
4 1984-12-05 54.5 Zurrieq 2 1014 13.93% @ Hamrun Spartans 1 1093 50.40% 35.67%
5 1984-12-05 51.6 @ Marsa 1 766 9.13% Rabat Ajax 1 1096 58.35% 32.52%
6 1985-02-20 51.6 Sliema Wanderers 2 994 23.54% @ Floriana 1 974 39.83% 36.63%
7 1985-03-06 51.0 @ Rabat Ajax 1 1109 55.05% Hibernians 1 973 10.30% 34.64%
8 1984-11-07 50.9 Valletta 2 1055 25.96% @ Sliema Wanderers 1 1015 37.35% 36.69%
9 1985-01-23 50.9 @ Hamrun Spartans 1 1113 53.87% Floriana 1 992 11.18% 34.95%
10 1984-11-21 50.8 @ Hamrun Spartans 1 1098 52.27% Sliema Wanderers 1 997 12.41% 35.31%
11 1984-12-19 50.8 @ Rabat Ajax 1 1090 51.50% Sliema Wanderers 1 999 13.03% 35.47%
12 1985-02-06 50.6 @ Zurrieq 1 1029 48.38% Floriana 1 971 15.65% 35.97%
13 1985-02-20 50.5 @ Hibernians 1 971 24.08% Rabat Ajax 1 1110 39.65% 36.28%
14 1984-11-07 49.8 @ Hibernians 2 913 29.70% Zurrieq 1 1008 33.70% 36.60%
15 1984-10-09 45.5 @ Valletta 3 969 32.20% Zurrieq 1 1046 31.13% 36.67%
16 1985-02-06 45.5 @ Hamrun Spartans 0 1115 51.86% Valletta 0 1020 12.74% 35.40%
17 1984-10-23 45.4 @ Hibernians 0 910 19.58% Hamrun Spartans 0 1090 44.65% 35.77%
18 1984-09-11 45.3 @ Rabat Ajax 0 1063 46.88% Zurrieq 0 1020 16.97% 36.15%
19 1984-09-25 45.1 @ Floriana 0 980 27.78% Hamrun Spartans 0 1089 35.71% 36.52%
20 1984-09-25 45.1 @ Sliema Wanderers 0 999 34.52% Rabat Ajax 0 1059 28.78% 36.70%
21 1984-10-16 45.1 @ Sliema Wanderers 0 1031 34.84% Hamrun Spartans 0 1090 28.46% 36.70%
22 1984-12-05 45.1 @ Sliema Wanderers 0 1001 43.45% Floriana 0 990 20.10% 36.45%
23 1985-01-09 45.1 @ Floriana 0 993 35.59% Zurrieq 0 1046 27.71% 36.70%
24 1985-01-09 45.1 @ Valletta 0 967 43.33% Hibernians 0 957 20.21% 36.46%
25 1985-02-20 45.1 @ Zurrieq 0 1025 31.03% Hamrun Spartans 0 1111 32.33% 36.64%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 1985-02-06 26.8 @ Rabat Ajax 3 1104 69.37% Marsa 0 723 3.20% 27.43%
2 1984-11-07 28.3 @ Hamrun Spartans 3 1087 64.59% Marsa 0 800 4.86% 30.55%
3 1984-12-19 30.3 @ Zurrieq 2 1038 63.40% Marsa 0 771 5.38% 31.23%
4 1984-10-16 31.0 @ Valletta 5 998 56.88% Marsa 0 837 9.04% 34.09%
5 1984-10-23 35.1 @ Floriana 1 992 58.55% Marsa 0 806 7.96% 33.49%
6 1984-09-25 35.6 @ Zurrieq 2 1024 45.73% Valletta 0 992 18.00% 36.27%
7 1984-11-21 36.8 @ Rabat Ajax 2 1070 41.85% Valletta 0 1073 21.60% 36.55%
8 1985-01-30 36.8 @ Valletta 2 994 41.83% Floriana 0 997 21.62% 36.55%
9 1984-09-11 37.7 @ Sliema Wanderers 1 989 49.85% Hibernians 0 915 14.40% 35.76%
10 1984-09-11 37.8 Hamrun Spartans 4 1028 32.58% @ Marsa 0 941 30.78% 36.64%
11 1985-01-23 38.3 @ Valletta 2 964 36.84% Sliema Wanderers 0 1007 26.46% 36.69%
12 1984-10-09 38.4 Floriana 2 981 36.40% @ Marsa 0 867 27.11% 36.48%
13 1984-09-25 39.1 @ Hibernians 1 905 45.16% Marsa 0 879 18.51% 36.32%
14 1984-09-11 39.7 @ Floriana 2 947 32.13% Valletta 0 1025 31.20% 36.67%
15 1984-10-09 39.8 Sliema Wanderers 2 998 31.68% @ Hibernians 0 917 31.66% 36.66%
16 1985-01-30 39.9 Sliema Wanderers 3 978 50.68% @ Marsa 1 740 14.56% 34.76%
17 1985-01-09 40.1 @ Sliema Wanderers 2 1003 61.85% Marsa 1 764 6.11% 32.03%
18 1984-11-21 40.3 Zurrieq 5 991 46.98% @ Marsa 2 789 17.58% 35.44%
19 1984-11-07 40.7 @ Rabat Ajax 3 1052 48.03% Floriana 1 998 15.95% 36.02%
20 1985-01-23 41.0 Hibernians 3 960 46.91% @ Marsa 1 759 17.64% 35.45%
21 1984-10-23 41.4 @ Zurrieq 1 992 37.46% Sliema Wanderers 0 1031 25.86% 36.69%
22 1984-12-05 41.7 @ Hibernians 2 919 25.41% Valletta 0 1047 38.21% 36.38%
23 1985-01-30 42.3 @ Hamrun Spartans 2 1108 54.54% Hibernians 1 979 10.68% 34.78%
24 1984-12-19 43.7 Hamrun Spartans 4 1070 28.71% @ Valletta 1 1010 34.59% 36.70%
25 1984-10-23 44.3 @ Valletta 3 1028 35.97% Rabat Ajax 1 1078 27.33% 36.70%