1935 Campeonato da Liga Season

56 games

Final

Champion

Porto

22 points

Relegated

No relegation

Biggest Overachiever

Porto

4.72 points above expected

22 points · 17.28 expected points

Biggest Disappointment

Academico do Porto

4.21 points below expected

6 points · 10.21 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 Porto 14 10 2 2 22 43 19 +24 17.28 +4.72
2 Sporting Clube de Portugal 14 8 4 2 20 39 20 +19 18.68 +1.32
3 Benfica 14 8 3 3 19 41 23 +18 16.43 +2.57
4 Os Belenenses (1st) 14 8 2 4 18 45 20 +25 18.41 -0.41
5 Vitoria Setubal 14 7 2 5 16 26 24 +2 14.04 +1.96
6 Uniao Lisboa 14 3 2 9 8 30 49 -19 10.79 -2.79
7 Academico do Porto 14 2 2 10 6 20 54 -34 10.21 -4.21
8 Academica de Coimbra 14 1 1 12 3 14 49 -35 6.17 -3.17

Form

Each team's 5-game rolling points-per-game across the season. Hot streaks push above the dashed 1.5 PPG reference line; cold spells drop below. Each team gets a distinct color; the legend below the plot lets you read off which line is which. (First 4 games of each team have no rolling window, so the lines start at game 5.)

League Race

Cumulative points across the season for each team. Highlighted teams are drawn in color (top finishers for the Title Race, bottom finishers for the Relegation Race); the rest of the league appears in light gray as context. Switch views with the buttons below.

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
Sporting Clube de Portugal 1979 20 18.68 +1.32 74.8% 8 14 17 19 21 23 27
Benfica 1960 19 16.43 +2.57 85.2% 7 12 15 16 18 21 27
Porto 1932 22 17.28 +4.72 96.8% 7 13 15 17 19 22 27
Os Belenenses (1st) 1832 18 18.41 -0.41 50.7% 8 14 17 18 20 23 27
Vitoria Setubal 1743 16 14.04 +1.96 80.0% 4 9 12 14 16 19 24
Uniao Lisboa 1482 8 10.79 -2.79 19.8% 1 7 9 11 13 15 23
Academico do Porto 1310 6 10.21 -4.21 9.1% 2 6 8 10 12 15 21
Academica de Coimbra 1240 3 6.17 -3.17 12.5% 0 2 5 6 8 10 15

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 ADC ADP BEN OB( POR SCDP UL VS
Academica de Coimbra
1-0-1
1.63
0-1-1
0.71
0-0-2
0.64
0-0-2
0.52
0-0-2
2.14
0-0-2
1.70
0-0-2
0.73
Academico do Porto
1-0-1
4.04
0-0-2
0.86
1-0-1
1.30
0-0-2
1.83
0-0-2
0.88
0-1-1
2.79
0-1-1
2.43
Benfica
1-1-0
4.96
2-0-0
4.81
1-0-1
2.49
1-0-1
2.47
0-1-1
2.36
1-1-0
3.48
2-0-0
2.85
Os Belenenses (1st)
2-0-0
5.04
1-0-1
4.38
1-0-1
3.17
0-1-1
3.11
1-1-0
2.36
2-0-0
4.65
1-0-1
3.70
Porto
2-0-0
5.15
2-0-0
3.84
1-0-1
3.19
1-1-0
2.55
1-1-0
2.75
2-0-0
4.03
1-0-1
3.29
Sporting Clube de Portugal
2-0-0
3.53
2-0-0
4.79
1-1-0
3.30
0-1-1
3.31
0-1-1
2.91
2-0-0
5.01
1-1-0
4.01
Uniao Lisboa
2-0-0
3.96
1-1-0
2.87
0-1-1
2.18
0-0-2
1.01
0-0-2
1.63
0-0-2
0.66
0-0-2
2.68
Vitoria Setubal
2-0-0
4.94
1-1-0
3.23
0-0-2
2.81
1-0-1
1.96
1-0-1
2.37
0-1-1
1.65
2-0-0
2.98

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

Slope
Scored 0.80 +5.6
Allowed 0.92 -4.5
Differential 0.95 +2.7

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
01.79%4.46%0.89%3.57%0.89%4.46%16.07%
14.46%7.14%4.46%4.46%2.68%1.79%25.00%
20.89%4.46%5.36%4.46%1.79%3.57%20.54%
33.57%4.46%4.46%1.79%2.68%16.96%
40.89%2.68%1.79%1.79%7.14%
5+4.46%1.79%3.57%2.68%1.79%14.29%
Total16.07%25.00%20.54%16.96%7.14%14.29%100%

Summary Statistics

Scored Allowed Difference
Mean 2.30 2.30 +0.00
SD 1.90 1.90 2.88
CV 0.83 0.83
Max 7 7 +7
Min 0 0 -7

Games Played: 56

↓ Scored | Allowed →012345+Total
014.29%7.14%14.29%35.71%
17.14%7.14%14.29%28.57%
27.14%7.14%14.29%7.14%35.71%
3
4
5+
Total21.43%7.14%21.43%21.43%28.57%100%

Summary Statistics

Scored Allowed Difference
Mean 1.00 3.50 -2.50
SD 0.88 1.87 2.21
CV 0.88 0.53
Max 2 7 +1
Min 0 1 -6

Games Played: 14

↓ Scored | Allowed →012345+Total
07.14%14.29%14.29%35.71%
17.14%7.14%14.29%
27.14%14.29%21.43%
314.29%7.14%7.14%28.57%
4
5+
Total7.14%21.43%28.57%7.14%35.71%100%

Summary Statistics

Scored Allowed Difference
Mean 1.43 3.86 -2.43
SD 1.28 2.21 2.62
CV 0.90 0.57
Max 3 7 +1
Min 0 0 -7

Games Played: 14

↓ Scored | Allowed →012345+Total
0
17.14%14.29%7.14%28.57%
27.14%14.29%21.43%
37.14%7.14%14.29%
414.29%14.29%
5+14.29%7.14%21.43%
Total7.14%35.71%42.86%14.29%100%

Summary Statistics

Scored Allowed Difference
Mean 2.93 1.64 +1.29
SD 1.86 0.84 2.02
CV 0.63 0.51
Max 7 3 +5
Min 1 0 -2

Games Played: 14

↓ Scored | Allowed →012345+Total
07.14%7.14%
114.29%7.14%21.43%
27.14%7.14%14.29%
37.14%7.14%7.14%21.43%
47.14%7.14%
5+14.29%7.14%7.14%28.57%
Total28.57%35.71%14.29%14.29%7.14%100%

Summary Statistics

Scored Allowed Difference
Mean 3.21 1.43 +1.79
SD 2.29 1.45 2.75
CV 0.71 1.02
Max 7 5 +7
Min 0 0 -2

Games Played: 14

↓ Scored | Allowed →012345+Total
07.14%7.14%14.29%
17.14%7.14%14.29%
27.14%7.14%7.14%21.43%
37.14%7.14%14.29%
414.29%14.29%
5+7.14%7.14%7.14%21.43%
Total28.57%28.57%28.57%7.14%7.14%100%

Summary Statistics

Scored Allowed Difference
Mean 3.07 1.36 +1.71
SD 2.46 1.22 2.58
CV 0.80 0.90
Max 7 4 +7
Min 0 0 -3

Games Played: 14

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

Summary Statistics

Scored Allowed Difference
Mean 2.79 1.43 +1.36
SD 1.81 1.40 2.41
CV 0.65 0.98
Max 6 4 +6
Min 1 0 -2

Games Played: 14

↓ Scored | Allowed →012345+Total
07.14%7.14%14.29%
17.14%7.14%7.14%7.14%28.57%
27.14%7.14%14.29%
37.14%7.14%7.14%21.43%
414.29%14.29%
5+7.14%7.14%
Total7.14%7.14%28.57%14.29%7.14%35.71%100%

Summary Statistics

Scored Allowed Difference
Mean 2.14 3.50 -1.36
SD 1.56 2.21 2.37
CV 0.73 0.63
Max 5 7 +3
Min 0 0 -5

Games Played: 14

↓ Scored | Allowed →012345+Total
07.14%7.14%7.14%21.43%
114.29%7.14%7.14%28.57%
27.14%7.14%7.14%21.43%
37.14%7.14%14.29%
47.14%7.14%
5+7.14%7.14%
Total21.43%35.71%7.14%28.57%7.14%100%

Summary Statistics

Scored Allowed Difference
Mean 1.86 1.71 +0.14
SD 1.70 1.49 1.96
CV 0.92 0.87
Max 6 5 +3
Min 0 0 -3

Games Played: 14

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.

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 Porto 22 17.28 +4.72
2 Benfica 19 16.43 +2.57
3 Vitoria Setubal 16 14.04 +1.96
4 Sporting Clube de Portugal 20 18.68 +1.32
5 Os Belenenses (1st) 18 18.41 -0.41

Biggest Disappointments

# Team Actual Sim vsSim
1 Academico do Porto 6 10.21 -4.21
2 Academica de Coimbra 3 6.17 -3.17
3 Uniao Lisboa 8 10.79 -2.79
4 Os Belenenses (1st) 18 18.41 -0.41
5 Sporting Clube de Portugal 20 18.68 +1.32

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 W or D consecutively; Winless counts L or D consecutively.

Most Unlikely Winning Streaks

# Team Games Dates Probability
1 Os Belenenses (1st) 3 Jan 27 – Feb 10 1 in 40
2 Benfica 4 Mar 3 – Mar 24 1 in 17
3 Porto 4 Feb 17 – Mar 17 1 in 13
4 Vitoria Setubal 2 Feb 3 – Feb 10 1 in 9
5 Sporting Clube de Portugal 4 Mar 24 – Apr 14 1 in 7

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Academico do Porto 9 Feb 24 – May 12 1 in 104
2 Sporting Clube de Portugal 1 Jan 27 – Jan 27 1 in 23
3 Os Belenenses (1st) 3 Apr 10 – May 12 1 in 9
4 Vitoria Setubal 2 Mar 3 – Mar 10 1 in 6
5 Academica de Coimbra 5 Feb 24 – Mar 24 1 in 5

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Vitoria Setubal 5 Jan 27 – Feb 24 1 in 18
2 Sporting Clube de Portugal 7 Mar 10 – May 12 1 in 8
3 Porto 5 Apr 7 – May 12 1 in 5
4 Benfica 4 Mar 3 – Mar 24 1 in 5
5 Academica de Coimbra 1 Feb 17 – Feb 17 1 in 3

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Uniao Lisboa 6 Jan 20 – Feb 24 1 in 15
2 Benfica 5 Jan 27 – Feb 24 1 in 11
3 Academico do Porto 9 Feb 24 – May 12 1 in 10
4 Sporting Clube de Portugal 2 Feb 10 – Feb 17 1 in 7
5 Academica de Coimbra 10 Jan 20 – Mar 24 1 in 6

Finish Position Heatmap

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
Porto20.24%22.41%23.75%19.50%10.41%3.04%0.61%0.04%
Sporting Clube de Portugal31.74%28.29%20.52%12.81%5.27%1.18%0.17%0.02%
Benfica12.00%16.56%22.33%26.32%15.83%5.43%1.44%0.09%
Os Belenenses (1st)33.46%26.81%19.58%12.85%5.55%1.48%0.26%0.01%
Vitoria Setubal2.40%5.28%11.03%20.38%35.70%17.49%6.80%0.92%
Uniao Lisboa0.08%0.30%1.54%4.88%15.35%39.76%30.82%7.27%
Academico do Porto0.08%0.35%1.25%3.20%11.36%27.44%42.27%14.05%
Academica de Coimbra0.06%0.53%4.18%17.63%77.60%

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.

Points 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).

Season Trends

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

Edges & Scoring

How these are measured

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

Home Edge
Share of matches won by the home team minus the share won by the away team.
No Edge: under 5% * Slight Edge: 5% to 15% * Clear Edge: 15% to 25% * Strong Edge: 25% 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
+26.79%
Strong Edge
55.36%16.07%28.57%
Elo Value
Home Edge
171 Elo
0.006 goals per Elo point
095.39500
Scoring Tilt
Expected
+0.75 goals
Home-Tilted
-2+0.56+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 4 * Open: 4 to 6 * Wide Open: 6 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 0.4 * Comfortable: 0.4 to 0.75 * Runaway: 0.75 and up.
Title-Race Openness
3.7
Top-Heavy
12468
Champion Preseason Odds
20%
Porto, 3rd of 8
LongshotFavorite
Title Margin
Expected
0.14/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 2.2 * Some Luck: 2.2 to 3.29 * Lucky: 3.29 to 4.39 * Wild Swing: 4.39 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 0.77 * Close: 0.77 to 1.15 * Off: 1.15 to 1.54 * Way Off: 1.54 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
2.96 points
Some Luck
02.747
Average Finish Error
Expected
0.75
Pinpoint
00.962
Biggest Overachiever
Expected 93.75%
96.78%
Porto
50100
Biggest Underachiever
Expected
9.07%
Academico do Porto
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 0.12 * Even: 0.12 to 0.18 * Top-Heavy: 0.18 to 0.26 * Lopsided: 0.26 and up.
Noll-Scully
How much more spread out the table was than a league where every match is a coin flip. The gold line at 1 is that coin-flip baseline. Above it, real talent gaps stretched the table; below it, the league was tighter than luck alone would produce.
Coin-Flip Parity: under 1 * Moderate Separation: 1 to 1.6 * Strong Separation: 1.6 to 2.2 * Wide Separation: 2.2 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 60% * Slight Edge: 60% to 70% * Clear Edge: 70% to 80% * Wide Edge: 80% 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 70% * Clear Edge: 70% to 82% * Strong Edge: 82% to 92% * Dominant: 92% 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 30% * Some Drama: 30% to 40% * Frequent: 40% to 50% * Very Frequent: 50% 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 8% * Occasional: 8% to 14% * Frequent: 14% to 22% * Very Frequent: 22% and up.
Gini Index
0.27
Lopsided
00.120.180.260.5
Noll-Scully
Coin-flip
1.93
Strong Separation
01.003
Interquartile Edge
95%
Wide Edge
50%60%70%80%100%
Best vs. Worst
Baseline 99%
99%
Dominant
50%100%
Close Games
Expected
45%
Frequent
0%40%100%
Blowouts
Expected
39%
Very Frequent
0%38%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 0.1 * Slight Separation: 0.1 to 0.18 * Notable Separation: 0.18 to 0.28 * Lopsided: 0.28 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 0.6 * Strong Carryover: 0.6 to 0.85 * Near-Lock: 0.85 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 25% * As Expected: 25% to 33% * Upset-Prone: 33% to 42% * Very Upset-Prone: 42% 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 15% * As Expected: 15% to 25% * Shaky Favorites: 25% to 35% * Very Shaky: 35% and up.
Brier Score
Expected
0.43
Highly Predictable
00.482
Matchup Imbalance
0.58
Lopsided
00.10.180.280.5
Strangeness
Expected
1.18
Wilder Than Modeled
01.002
Repeatability
N/A
No prior ratings
00.30.60.851
Upset Rate
Expected
16%
Chalky
0%17%50%
Clear Favorite Upset Rate
Expected
10%
Solid Favorites
0%14%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 0.29 * Above Noise: 0.29 to 0.38 * Well Above Noise: 0.38 and up.
Probability calibration
0.68
Excellent
0.010.050.10.51
Calibration slope
Ideal
1.12
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.095
Well Within Noise
00.1910.5

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
Academica de Coimbra 100%
Academico do Porto 100%
Benfica 100%
Os Belenenses (1st) 100%
Porto 100%
Sporting Clube de Portugal 100%
Uniao Lisboa 100%
Vitoria Setubal 100%

Overall Game Log

Summary of every completed game this season. Sort any column by clicking its header.

Date Opponent Score Pre Elo Opp Elo Win % Tie % Loss % Elo Δ Points
1935-01-20 Sporting Clube de Portugal L 0-6 1685 1685 59.7% 17.0% 23.3% -315.0 0
1935-01-20 @ Academica de Coimbra W 6-0 1685 1685 23.3% 17.0% 59.7% +315.0 2
1935-01-20 Uniao Lisboa D 3-3 1685 1685 59.7% 17.0% 23.3% -5.4 1
1935-01-20 @ Academico do Porto D 3-3 1685 1685 23.3% 17.0% 59.7% +5.4 1
1935-01-20 Porto D 1-1 1685 1685 59.7% 17.0% 23.3% -8.7 1
1935-01-20 @ Os Belenenses (1st) D 1-1 1685 1685 23.3% 17.0% 59.7% +8.7 1
1935-01-20 Vitoria Setubal W 3-1 1685 1685 59.7% 17.0% 23.3% +43.1 2
1935-01-20 @ Benfica L 1-3 1685 1685 23.3% 17.0% 59.7% -43.1 0
1935-01-27 Benfica D 2-2 1690 1728 55.5% 17.0% 27.5% -4.9 2
1935-01-27 @ Uniao Lisboa D 2-2 1728 1690 27.5% 17.0% 55.5% +4.9 3
1935-01-27 Academica de Coimbra W 7-1 1693 1370 79.0% 16.6% 4.4% +23.8 3
1935-01-27 @ Porto L 1-7 1370 1693 4.4% 16.6% 79.0% -23.8 0
1935-01-27 Os Belenenses (1st) L 1-3 2000 1676 79.0% 16.6% 4.4% -132.3 2
1935-01-27 @ Sporting Clube de Portugal W 3-1 1676 2000 4.4% 16.6% 79.0% +132.3 3
1935-01-27 Academico do Porto D 0-0 1642 1679 55.5% 17.0% 27.5% -7.3 1
1935-01-27 @ Vitoria Setubal D 0-0 1679 1642 27.5% 17.0% 55.5% +7.4 2
1935-02-03 Os Belenenses (1st) L 0-5 1346 1808 9.8% 16.7% 73.5% -52.4 0
1935-02-03 @ Academica de Coimbra W 5-0 1808 1346 73.5% 16.7% 9.8% +52.4 5
1935-02-03 Vitoria Setubal L 1-3 1685 1634 64.7% 17.0% 18.3% -106.5 2
1935-02-03 @ Uniao Lisboa W 3-1 1634 1685 18.3% 17.0% 64.7% +106.5 3
1935-02-03 Benfica W 2-1 1717 1733 58.0% 17.0% 24.9% +26.5 5
1935-02-03 @ Porto L 1-2 1733 1717 24.9% 17.0% 58.0% -26.5 3
1935-02-03 Academico do Porto W 3-0 1867 1687 73.6% 16.9% 9.5% +31.8 4
1935-02-03 @ Sporting Clube de Portugal L 0-3 1687 1867 9.5% 16.9% 73.6% -31.8 2
1935-02-10 Academica de Coimbra W 3-2 1655 1293 79.9% 16.6% 3.6% +4.0 4
1935-02-10 @ Academico do Porto L 2-3 1293 1655 3.6% 16.6% 79.9% -4.0 0
1935-02-10 Uniao Lisboa W 7-3 1861 1579 77.8% 16.7% 5.5% +15.9 7
1935-02-10 @ Os Belenenses (1st) L 3-7 1579 1861 5.5% 16.7% 77.8% -15.9 2
1935-02-10 Sporting Clube de Portugal D 1-1 1706 1899 34.5% 17.0% 48.4% +3.2 4
1935-02-10 @ Benfica D 1-1 1899 1706 48.4% 17.0% 34.5% -3.2 5
1935-02-10 Porto W 1-0 1741 1744 59.4% 17.0% 23.6% +26.7 5
1935-02-10 @ Vitoria Setubal L 0-1 1744 1741 23.6% 17.0% 59.4% -26.7 5
1935-02-17 Benfica D 2-2 1289 1709 12.2% 16.8% 71.0% +11.0 1
1935-02-17 @ Academica de Coimbra D 2-2 1709 1289 71.0% 16.8% 12.2% -11.0 5
1935-02-17 Os Belenenses (1st) W 3-2 1659 1877 31.3% 17.0% 51.7% +46.9 6
1935-02-17 @ Academico do Porto L 2-3 1877 1659 51.7% 17.0% 31.3% -46.9 7
1935-02-17 Porto L 0-2 1563 1717 39.9% 17.0% 43.1% -79.0 2
1935-02-17 @ Uniao Lisboa W 2-0 1717 1563 43.1% 17.0% 39.9% +79.0 7
1935-02-17 Vitoria Setubal D 1-1 1896 1767 70.6% 16.9% 12.5% -14.6 6
1935-02-17 @ Sporting Clube de Portugal D 1-1 1767 1896 12.5% 16.9% 70.6% +14.6 6
1935-02-24 Porto L 0-3 1706 1796 48.8% 17.1% 34.1% -136.4 6
1935-02-24 @ Academico do Porto W 3-0 1796 1706 34.1% 17.1% 48.8% +136.4 9
1935-02-24 Benfica W 2-1 1830 1698 70.8% 16.9% 12.3% +13.9 9
1935-02-24 @ Os Belenenses (1st) L 1-2 1698 1830 12.3% 16.9% 70.8% -13.9 5
1935-02-24 Uniao Lisboa W 5-0 1881 1484 80.6% 16.5% 2.9% +16.2 8
1935-02-24 @ Sporting Clube de Portugal L 0-5 1484 1881 2.9% 16.5% 80.6% -16.2 2
1935-02-24 Academica de Coimbra W 3-2 1782 1300 81.9% 16.3% 1.8% +2.1 8
1935-02-24 @ Vitoria Setubal L 2-3 1300 1782 1.8% 16.3% 81.9% -2.1 1
1935-03-03 Uniao Lisboa L 1-3 1298 1468 37.8% 17.0% 45.2% -65.4 1
1935-03-03 @ Academica de Coimbra W 3-1 1468 1298 45.2% 17.0% 37.8% +65.4 4
1935-03-03 Vitoria Setubal W 3-0 1844 1784 65.4% 17.0% 17.6% +56.3 11
1935-03-03 @ Os Belenenses (1st) L 0-3 1784 1844 17.6% 17.0% 65.4% -56.3 8
1935-03-03 Academico do Porto W 7-2 1684 1569 69.7% 16.9% 13.4% +48.8 7
1935-03-03 @ Benfica L 2-7 1569 1684 13.4% 16.9% 69.7% -48.8 6
1935-03-03 Sporting Clube de Portugal W 4-2 1932 1898 63.2% 17.0% 19.8% +33.4 11
1935-03-03 @ Porto L 2-4 1898 1932 19.8% 17.0% 63.2% -33.4 8
1935-03-10 Academico do Porto W 5-2 1533 1521 61.0% 17.0% 22.0% +50.2 6
1935-03-10 @ Uniao Lisboa L 2-5 1521 1533 22.0% 17.0% 61.0% -50.2 6
1935-03-10 Academica de Coimbra W 5-1 1864 1233 83.4% 15.8% 0.8% +3.0 10
1935-03-10 @ Sporting Clube de Portugal L 1-5 1233 1864 0.8% 15.8% 83.4% -3.0 1
1935-03-10 Benfica L 2-5 1728 1733 59.1% 17.0% 23.9% -119.2 8
1935-03-10 @ Vitoria Setubal W 5-2 1733 1728 23.9% 17.0% 59.1% +119.2 9
1935-03-17 Porto L 2-4 1230 1966 2.2% 16.1% 81.7% -4.0 1
1935-03-17 @ Academica de Coimbra W 4-2 1966 1230 81.7% 16.1% 2.2% +4.0 13
1935-03-17 Vitoria Setubal L 3-6 1470 1609 42.2% 17.0% 40.8% -81.2 6
1935-03-17 @ Academico do Porto W 6-3 1609 1470 40.8% 17.0% 42.2% +81.2 10
1935-03-17 Sporting Clube de Portugal D 1-1 1900 1867 63.0% 17.0% 20.0% -10.4 12
1935-03-17 @ Os Belenenses (1st) D 1-1 1867 1900 20.0% 17.0% 63.0% +10.4 11
1935-03-17 Uniao Lisboa W 2-1 1852 1583 77.4% 16.7% 5.9% +7.0 11
1935-03-17 @ Benfica L 1-2 1583 1852 5.9% 16.7% 77.4% -7.0 6
1935-03-24 Sporting Clube de Portugal L 2-3 1389 1878 8.5% 16.7% 74.8% -9.3 6
1935-03-24 @ Academico do Porto W 3-2 1878 1389 74.8% 16.7% 8.5% +9.3 13
1935-03-24 Academica de Coimbra W 4-0 1890 1226 83.6% 15.7% 0.7% +3.0 14
1935-03-24 @ Os Belenenses (1st) L 0-4 1226 1890 0.7% 15.7% 83.6% -3.0 1
1935-03-24 Porto W 3-0 1859 1970 46.1% 17.1% 36.9% +107.4 13
1935-03-24 @ Benfica L 0-3 1970 1859 36.9% 17.1% 46.1% -107.4 13
1935-03-24 Uniao Lisboa W 4-1 1690 1576 69.6% 16.9% 13.5% +37.1 12
1935-03-24 @ Vitoria Setubal L 1-4 1576 1690 13.5% 16.9% 69.6% -37.1 6
1935-03-31 Academico do Porto W 2-1 1223 1380 39.5% 17.0% 43.4% +42.4 3
1935-03-31 @ Academica de Coimbra L 1-2 1380 1223 43.4% 17.0% 39.5% -42.4 6
1935-03-31 Os Belenenses (1st) L 2-6 1539 1892 17.0% 16.9% 66.1% -50.3 6
1935-03-31 @ Uniao Lisboa W 6-2 1892 1539 66.1% 16.9% 17.0% +50.3 16
1935-03-31 Benfica W 3-1 1887 1967 50.2% 17.1% 32.8% +58.0 15
1935-03-31 @ Sporting Clube de Portugal L 1-3 1967 1887 32.8% 17.1% 50.2% -57.9 13
1935-04-07 Academico do Porto W 7-0 1943 1337 83.2% 15.9% 0.9% +7.0 18
1935-04-07 @ Os Belenenses (1st) L 0-7 1337 1943 0.9% 15.9% 83.2% -7.0 6
1935-04-07 Academica de Coimbra W 4-1 1909 1265 83.5% 15.8% 0.7% +2.1 15
1935-04-07 @ Benfica L 1-4 1265 1909 0.7% 15.8% 83.5% -2.1 3
1935-04-07 Uniao Lisboa W 7-4 1862 1489 80.1% 16.5% 3.3% +7.4 15
1935-04-07 @ Porto L 4-7 1489 1862 3.3% 16.5% 80.1% -7.4 6
1935-04-07 Sporting Clube de Portugal L 0-1 1727 1945 31.3% 17.0% 51.7% -34.1 12
1935-04-07 @ Vitoria Setubal W 1-0 1945 1727 51.7% 17.0% 31.3% +34.1 17
1935-04-10 Os Belenenses (1st) W 1-0 1870 1950 50.2% 17.1% 32.8% +35.5 17
1935-04-10 @ Porto L 0-1 1950 1870 32.8% 17.1% 50.2% -35.5 18
1935-04-14 Vitoria Setubal L 0-1 1263 1693 11.6% 16.8% 71.6% -14.0 3
1935-04-14 @ Academica de Coimbra W 1-0 1693 1263 71.6% 16.8% 11.6% +14.0 14
1935-04-14 Sporting Clube de Portugal L 4-5 1481 1979 8.1% 16.7% 75.2% -8.6 6
1935-04-14 @ Uniao Lisboa W 5-4 1979 1481 75.2% 16.7% 8.1% +8.6 19
1935-04-14 Os Belenenses (1st) W 5-3 1911 1914 59.4% 17.0% 23.6% +36.9 17
1935-04-14 @ Benfica L 3-5 1914 1911 23.6% 17.0% 59.4% -36.9 18
1935-04-14 Academico do Porto W 7-0 1905 1330 82.9% 16.0% 1.1% +8.3 19
1935-04-14 @ Porto L 0-7 1330 1905 1.1% 16.0% 82.9% -8.3 6
1935-04-21 Vitoria Setubal W 3-2 1914 1707 74.9% 16.8% 8.3% +9.1 21
1935-04-21 @ Porto L 2-3 1707 1914 8.3% 16.8% 74.9% -9.1 14
1935-05-12 Benfica L 1-4 1322 1948 4.0% 16.4% 79.6% -11.7 6
1935-05-12 @ Academico do Porto W 4-1 1948 1322 79.6% 16.4% 4.0% +11.7 19
1935-05-12 Academica de Coimbra W 1-0 1473 1249 75.6% 16.8% 7.6% +9.4 8
1935-05-12 @ Uniao Lisboa L 0-1 1249 1473 7.6% 16.8% 75.6% -9.4 3
1935-05-12 Porto D 2-2 1988 1923 65.9% 17.0% 17.2% -8.9 20
1935-05-12 @ Sporting Clube de Portugal D 2-2 1923 1988 17.2% 17.0% 65.9% +8.9 22
1935-05-12 Os Belenenses (1st) W 2-1 1698 1877 36.4% 17.0% 46.6% +45.1 16
1935-05-12 @ Vitoria Setubal L 1-2 1877 1698 46.6% 17.0% 36.4% -45.1 18

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 1935-01-27 4.39% Os Belenenses (1st) 1676 3 @ Sporting Clube de Portugal 2000 1
2 1935-02-03 18.34% Vitoria Setubal 1634 3 @ Uniao Lisboa 1685 1
3 1935-01-20 23.28% Sporting Clube de Portugal 1685 6 @ Academica de Coimbra 1685 0
4 1935-03-10 23.86% Benfica 1733 5 @ Vitoria Setubal 1728 2
5 1935-02-17 31.29% @ Academico do Porto 1659 3 Os Belenenses (1st) 1877 2
6 1935-02-24 34.12% Porto 1796 3 @ Academico do Porto 1706 0
7 1935-05-12 36.35% @ Vitoria Setubal 1698 2 Os Belenenses (1st) 1877 1
8 1935-03-31 39.53% @ Academica de Coimbra 1223 2 Academico do Porto 1380 1
9 1935-03-17 40.79% Vitoria Setubal 1609 6 @ Academico do Porto 1470 3

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 1935-01-20 315.05 Sporting Clube de Portugal 6 1685 23.28% @ Academica de Coimbra 0 1685 59.69% 17.03%
2 1935-02-24 136.41 Porto 3 1796 34.12% @ Academico do Porto 0 1706 48.83% 17.05%
3 1935-01-27 132.34 Os Belenenses (1st) 3 1676 4.39% @ Sporting Clube de Portugal 1 2000 78.98% 16.63%
4 1935-03-10 119.16 Benfica 5 1733 23.86% @ Vitoria Setubal 2 1728 59.11% 17.03%
5 1935-03-24 107.43 @ Benfica 3 1859 46.08% Porto 0 1970 36.87% 17.05%
6 1935-02-03 106.49 Vitoria Setubal 3 1634 18.34% @ Uniao Lisboa 1 1685 64.66% 17.00%
7 1935-03-17 81.24 Vitoria Setubal 6 1609 40.79% @ Academico do Porto 3 1470 42.16% 17.04%
8 1935-02-17 79.00 Porto 2 1717 43.07% @ Uniao Lisboa 0 1563 39.89% 17.04%
9 1935-03-03 65.38 Uniao Lisboa 3 1468 45.18% @ Academica de Coimbra 1 1298 37.79% 17.04%
10 1935-03-31 57.95 @ Sporting Clube de Portugal 3 1887 50.21% Benfica 1 1967 32.75% 17.05%
11 1935-03-03 56.30 @ Os Belenenses (1st) 3 1844 65.41% Vitoria Setubal 0 1784 17.60% 16.99%
12 1935-02-03 52.37 Os Belenenses (1st) 5 1808 73.51% @ Academica de Coimbra 0 1346 9.76% 16.73%
13 1935-03-31 50.27 Os Belenenses (1st) 6 1892 66.13% @ Uniao Lisboa 2 1539 16.98% 16.89%
14 1935-03-10 50.22 @ Uniao Lisboa 5 1533 60.98% Academico do Porto 2 1521 22.00% 17.02%
15 1935-03-03 48.78 @ Benfica 7 1684 69.71% Academico do Porto 2 1569 13.35% 16.94%
16 1935-02-17 46.90 @ Academico do Porto 3 1659 31.29% Os Belenenses (1st) 2 1877 51.70% 17.01%
17 1935-05-12 45.07 @ Vitoria Setubal 2 1698 36.35% Os Belenenses (1st) 1 1877 46.62% 17.03%
18 1935-01-20 43.11 @ Benfica 3 1685 59.69% Vitoria Setubal 1 1685 23.28% 17.03%
19 1935-03-31 42.40 @ Academica de Coimbra 2 1223 39.53% Academico do Porto 1 1380 43.43% 17.04%
20 1935-03-24 37.12 @ Vitoria Setubal 4 1690 69.61% Uniao Lisboa 1 1576 13.45% 16.94%
21 1935-04-14 36.91 @ Benfica 5 1911 59.35% Os Belenenses (1st) 3 1914 23.62% 17.03%
22 1935-04-10 35.49 @ Porto 1 1870 50.20% Os Belenenses (1st) 0 1950 32.75% 17.05%
23 1935-04-07 34.10 Sporting Clube de Portugal 1 1945 51.71% @ Vitoria Setubal 0 1727 31.27% 17.01%
24 1935-03-03 33.42 @ Porto 4 1932 63.17% Sporting Clube de Portugal 2 1898 19.82% 17.01%
25 1935-02-03 31.82 @ Sporting Clube de Portugal 3 1867 73.63% Academico do Porto 0 1687 9.50% 16.87%