1929 Segunda División Season

90 games

Final

Promoted

No promotions.

Relegated

Celta Vigo

13 pts

Racing Club Madrid · 13 pts

Biggest Overachiever

Iberia

3.96 points above expected

22 points · 18.04 expected points

Biggest Disappointment

Celta Vigo

4.30 points below expected

13 points · 17.30 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 Sevilla 18 8 6 4 22 35 24 +11 18.69 +3.31
2 Iberia 18 9 4 5 22 33 27 +6 18.04 +3.96
3 Alaves 18 8 5 5 21 28 20 +8 18.92 +2.08
4 Sporting Gijon 18 7 5 6 19 41 35 +6 18.05 +0.95
5 Valencia 18 8 3 7 19 33 31 +2 18.20 +0.80
6 Real Betis 18 7 4 7 18 35 36 -1 17.98 +0.02
7 Real Oviedo 18 7 3 8 17 43 39 +4 18.31 -1.31
8 Deportivo La Coruna 18 6 4 8 16 27 37 -10 18.17 -2.17
9 Celta Vigo Relegated 18 4 5 9 13 29 38 -9 17.30 -4.30
10 Racing Club Madrid Relegated 18 6 1 11 13 31 48 -17 16.34 -3.34

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
Iberia 1492 22 18.04 +3.96 91.4% 6 13 16 18 20 23 31
Alaves 1475 21 18.92 +2.08 78.7% 7 14 17 19 21 24 31
Sevilla 1474 22 18.69 +3.31 87.6% 7 13 16 19 21 24 31
Sporting Gijon 1461 19 18.05 +0.95 66.9% 7 13 16 18 20 24 31
Valencia 1453 19 18.20 +0.80 66.0% 6 13 16 18 20 24 32
Real Oviedo 1443 17 18.31 -1.31 39.9% 6 13 16 18 21 24 30
Real Betis 1430 18 17.98 +0.02 56.8% 7 13 16 18 20 23 30
Deportivo La Coruna 1409 16 18.17 -2.17 30.6% 5 13 16 18 20 24 32
Celta Vigo 1397 13 17.30 -4.30 12.9% 4 12 15 17 20 23 30
Racing Club Madrid 1379 13 16.34 -3.34 18.9% 3 11 14 16 19 22 28

Head-to-Head

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

Beat expectations Fell short Within expectations
Team ALA CV DLC IBE RCM RB RO SEV SG VAL
Alaves
1-1-0
3.08
2-0-0
2.85
1-1-0
2.94
1-0-1
3.33
0-1-1
2.97
1-0-1
2.89
0-1-1
2.88
1-1-0
2.94
1-0-1
2.99
Celta Vigo
0-1-1
2.58
0-1-1
2.69
0-0-2
2.78
1-0-1
2.93
1-0-1
2.74
0-1-1
2.64
1-1-0
2.56
0-1-1
2.73
1-0-1
2.73
Deportivo La Coruna
0-0-2
2.80
1-1-0
2.96
1-0-1
2.70
2-0-0
2.98
0-1-1
2.91
0-1-1
2.83
0-1-1
2.84
1-0-1
2.92
1-0-1
2.73
Iberia
0-1-1
2.72
2-0-0
2.87
1-0-1
2.95
2-0-0
3.11
1-1-0
2.79
1-0-1
2.75
1-0-1
2.68
0-2-0
2.85
1-0-1
2.80
Racing Club Madrid
1-0-1
2.32
1-0-1
2.72
0-0-2
2.68
0-0-2
2.54
1-0-1
2.51
1-0-1
2.61
0-1-1
2.45
1-0-1
2.57
1-0-1
2.57
Real Betis
1-1-0
2.69
1-0-1
2.91
1-1-0
2.75
0-1-1
2.86
1-0-1
3.14
1-0-1
2.76
1-0-1
2.72
1-0-1
2.76
0-1-1
2.81
Real Oviedo
1-0-1
2.76
1-1-0
3.01
1-1-0
2.82
1-0-1
2.90
1-0-1
3.04
1-0-1
2.89
0-1-1
2.73
1-0-1
2.82
0-0-2
2.85
Sevilla
1-1-0
2.77
0-1-1
3.09
1-1-0
2.82
1-0-1
2.97
1-1-0
3.20
1-0-1
2.93
1-1-0
2.92
1-0-1
2.90
1-1-0
2.87
Sporting Gijon
0-1-1
2.71
1-1-0
2.92
1-0-1
2.73
0-2-0
2.81
1-0-1
3.08
1-0-1
2.89
1-0-1
2.83
1-0-1
2.75
1-1-0
2.76
Valencia
1-0-1
2.66
1-0-1
2.92
1-0-1
2.92
1-0-1
2.85
1-0-1
3.08
1-1-0
2.84
2-0-0
2.80
0-1-1
2.78
0-1-1
2.89

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 0.04 +1.3
Allowed 0.77 -3.5
Differential 0.83 +3.3

Scoreline Distribution

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

↓ Scored | Allowed →012345+Total
02.22%5.00%2.22%1.67%1.11%3.33%15.56%
15.00%12.22%7.22%6.11%1.11%0.56%32.22%
22.22%7.22%5.56%5.56%2.22%2.22%25.00%
31.67%6.11%5.56%2.22%0.56%16.11%
41.11%1.11%2.22%0.56%5.00%
5+3.33%0.56%2.22%6.11%
Total15.56%32.22%25.00%16.11%5.00%6.11%100%

Summary Statistics

Scored Allowed Difference
Mean 1.86 1.86 +0.00
SD 1.50 1.50 2.33
CV 0.80 0.80
Max 8 8 +8
Min 0 0 -8

Games Played: 90

↓ Scored | Allowed →012345+Total
05.56%5.56%11.11%
122.22%27.78%5.56%55.56%
25.56%11.11%16.67%
311.11%11.11%
4
5+5.56%5.56%
Total27.78%50.00%5.56%16.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.56 1.11 +0.44
SD 1.38 1.02 1.85
CV 0.89 0.92
Max 6 3 +6
Min 0 0 -3

Games Played: 18

↓ Scored | Allowed →012345+Total
011.11%11.11%22.22%
116.67%11.11%5.56%33.33%
25.56%5.56%5.56%5.56%22.22%
35.56%5.56%5.56%16.67%
4
5+5.56%5.56%
Total5.56%38.89%22.22%16.67%5.56%11.11%100%

Summary Statistics

Scored Allowed Difference
Mean 1.61 2.11 -0.50
SD 1.50 1.45 2.43
CV 0.93 0.69
Max 6 5 +6
Min 0 0 -5

Games Played: 18

↓ Scored | Allowed →012345+Total
05.56%5.56%5.56%11.11%27.78%
15.56%11.11%11.11%11.11%38.89%
25.56%5.56%11.11%
35.56%5.56%
45.56%5.56%11.11%
5+5.56%5.56%
Total22.22%22.22%33.33%11.11%11.11%100%

Summary Statistics

Scored Allowed Difference
Mean 1.50 2.06 -0.56
SD 1.54 2.21 3.05
CV 1.03 1.07
Max 5 8 +3
Min 0 0 -8

Games Played: 18

↓ Scored | Allowed →012345+Total
05.56%5.56%
111.11%11.11%11.11%5.56%38.89%
25.56%11.11%5.56%5.56%27.78%
35.56%11.11%5.56%22.22%
45.56%5.56%
5+
Total22.22%27.78%27.78%22.22%100%

Summary Statistics

Scored Allowed Difference
Mean 1.83 1.50 +0.33
SD 1.04 1.10 1.61
CV 0.57 0.73
Max 4 3 +4
Min 0 0 -3

Games Played: 18

↓ Scored | Allowed →012345+Total
05.56%5.56%5.56%5.56%22.22%
15.56%11.11%5.56%5.56%27.78%
25.56%5.56%5.56%5.56%22.22%
311.11%11.11%
45.56%5.56%5.56%16.67%
5+
Total5.56%22.22%27.78%11.11%16.67%16.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.72 2.67 -0.94
SD 1.41 1.68 2.55
CV 0.82 0.63
Max 4 6 +4
Min 0 0 -6

Games Played: 18

↓ Scored | Allowed →012345+Total
05.56%5.56%11.11%
116.67%16.67%5.56%38.89%
211.11%5.56%5.56%22.22%
311.11%11.11%22.22%
4
5+5.56%5.56%
Total11.11%38.89%11.11%27.78%5.56%5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 1.94 2.00 -0.06
SD 1.80 1.53 2.69
CV 0.92 0.77
Max 8 6 +8
Min 0 0 -4

Games Played: 18

↓ Scored | Allowed →012345+Total
05.56%5.56%
15.56%5.56%5.56%16.67%
211.11%5.56%16.67%5.56%5.56%44.44%
311.11%5.56%16.67%
45.56%5.56%
5+5.56%5.56%11.11%
Total5.56%27.78%27.78%27.78%5.56%5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 2.39 2.17 +0.22
SD 1.46 1.25 2.16
CV 0.61 0.58
Max 6 5 +5
Min 0 0 -3

Games Played: 18

↓ Scored | Allowed →012345+Total
05.56%5.56%
111.11%11.11%11.11%33.33%
25.56%5.56%22.22%5.56%38.89%
35.56%5.56%11.11%
45.56%5.56%
5+5.56%5.56%
Total22.22%27.78%44.44%5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 1.94 1.33 +0.61
SD 1.21 0.91 1.33
CV 0.62 0.68
Max 5 3 +3
Min 0 0 -1

Games Played: 18

↓ Scored | Allowed →012345+Total
05.56%11.11%5.56%5.56%27.78%
111.11%5.56%16.67%
25.56%5.56%5.56%16.67%
35.56%5.56%5.56%16.67%
4
5+11.11%5.56%5.56%22.22%
Total16.67%38.89%16.67%11.11%5.56%11.11%100%

Summary Statistics

Scored Allowed Difference
Mean 2.28 1.94 +0.33
SD 2.22 1.83 3.29
CV 0.97 0.94
Max 7 6 +7
Min 0 0 -6

Games Played: 18

↓ Scored | Allowed →012345+Total
05.56%5.56%5.56%16.67%
15.56%5.56%11.11%22.22%
25.56%11.11%5.56%5.56%27.78%
35.56%5.56%11.11%5.56%27.78%
45.56%5.56%
5+
Total16.67%27.78%33.33%11.11%11.11%100%

Summary Statistics

Scored Allowed Difference
Mean 1.83 1.72 +0.11
SD 1.20 1.23 1.60
CV 0.65 0.71
Max 4 4 +3
Min 0 0 -2

Games Played: 18

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 Iberia 22 18.04 +3.96
2 Sevilla 22 18.69 +3.31
3 Alaves 21 18.92 +2.08
4 Sporting Gijon 19 18.05 +0.95
5 Valencia 19 18.20 +0.80

Biggest Disappointments

# Team Actual Sim vsSim
1 Celta Vigo 13 17.30 -4.30
2 Racing Club Madrid 13 16.34 -3.34
3 Deportivo La Coruna 16 18.17 -2.17
4 Real Oviedo 17 18.31 -1.31
5 Real Betis 18 17.98 +0.02

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 Iberia 3 May 5 – May 26 1 in 12
2 Alaves 3 Mar 24 – Apr 7 1 in 11
3 Deportivo La Coruna 2 Feb 10 – Feb 17 1 in 8
4 Sevilla 3 Apr 7 – Apr 28 1 in 4
5 Racing Club Madrid 2 May 12 – May 26 1 in 3

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Racing Club Madrid 4 Feb 10 – Mar 3 1 in 18
2 Celta Vigo 3 Mar 31 – Apr 21 1 in 12
3 Iberia 2 Feb 10 – Feb 17 1 in 9
4 Deportivo La Coruna 2 May 12 – May 26 1 in 8
5 Valencia 2 May 12 – May 26 1 in 3

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Sevilla 10 Feb 10 – Apr 28 1 in 174
2 Alaves 5 Mar 3 – Apr 7 1 in 12
3 Iberia 4 Mar 10 – Apr 7 1 in 12
4 Sporting Gijon 4 Jun 2 – Jun 23 1 in 10
5 Celta Vigo 5 May 30 – Jun 23 1 in 10

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Alaves 4 Apr 21 – May 12 1 in 15
2 Sporting Gijon 5 Feb 24 – Mar 31 1 in 14
3 Real Betis 5 Mar 3 – Apr 7 1 in 13
4 Racing Club Madrid 6 Feb 10 – Mar 24 1 in 13
5 Celta Vigo 5 Mar 10 – Apr 21 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).

Team12345678910
Sevilla15.38%14.06%12.23%11.08%9.73%9.08%8.51%7.42%7.03%5.48%
Iberia10.52%10.39%10.66%10.14%10.92%10.47%10.14%9.72%9.02%8.02%
Alaves16.05%13.46%12.22%11.40%10.60%9.03%8.72%7.67%6.21%4.64%
Sporting Gijon10.84%10.54%10.39%10.13%10.16%10.54%9.84%9.73%9.52%8.31%
Valencia9.81%10.70%10.06%10.83%10.53%10.88%10.38%10.10%9.04%7.67%
Real Betis8.73%9.12%9.72%10.33%10.45%10.43%10.58%10.65%10.30%9.69%
Real Oviedo11.53%11.18%11.12%10.85%10.20%10.02%9.40%8.89%8.84%7.97%
Deportivo La Coruna8.63%8.95%10.13%10.29%10.38%10.33%10.51%10.63%10.46%9.69%
Celta Vigo5.75%7.41%7.96%8.28%9.24%10.44%10.75%11.95%13.27%14.95%
Racing Club Madrid2.76%4.19%5.51%6.67%7.79%8.78%11.17%13.24%16.31%23.58%

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
+57.78%
Strong Edge
67.78%22.22%10.00%
Elo Value
Home Edge
178 Elo
0.006 goals per Elo point
0229.00500
Scoring Tilt
Expected
+1.30 goals
Strong Home
-2+1.29+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 5th * Longshot: 6th or lower.
Title Margin
Points-per-game gap between the champion and the runner-up. Shown per game so it reads the same across long and short seasons. The gold line is the winning margin the model expected, so a dot to the right means a more one-sided race than projected. A title won on goal difference shows 0.00.
Photo Finish: under 0.15 * Tight Race: 0.15 to 0.4 * Comfortable: 0.4 to 0.75 * Runaway: 0.75 and up.
Title-Race Openness
8.7
Wide Open
124610
Champion Preseason Odds
15%
Sevilla, 2nd of 10
LongshotFavorite
Title Margin
Expected
0.00/gm
Photo Finish
00.100.5/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 2.64 * Some Luck: 2.64 to 3.96 * Lucky: 3.96 to 5.28 * Wild Swing: 5.28 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 2.36 * Close: 2.36 to 3.54 * Off: 3.54 to 4.71 * Way Off: 4.71 and up.
Biggest Overachiever
The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 10 typically lands.
Biggest Underachiever
The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 10 typically lands.
Season Outliers
Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 10 * As Expected: 10 to 16 * Several Outliers: 16 to 22 * Many Outliers: 22 and up.
Unexpected Relegations
Number of teams that were actually relegated but were not in the model's projected bottom field of the same size. The gold line is how many the model expected to miss on average.
As Expected: under 1.32 * A Surprise: 1.32 to 2.11 * Several Surprises: 2.11 to 2.9 * Many Surprises: 2.9 and up.
Luck Spread
Expected
2.62 points
As Expected
03.308
Average Finish Error
Expected
2.00
Pinpoint
02.956
Biggest Overachiever
Expected 95.00%
91.38%
Iberia
50100
Biggest Underachiever
Expected 5.00%
12.89%
Celta Vigo
050
Season Outliers
Expected
0 of 10
Minimal Outliers
01.010
Unexpected Relegations
Expected
0 of 2
As Expected
01.32

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
0.10
Balanced
00.120.180.260.5
Noll-Scully
Coin-flip
0.78
Coin-Flip Parity
01.003
Interquartile Edge
58%
Even
50%60%70%80%100%
Best vs. Worst
Baseline
66%
Even
50%67%100%
Close Games
Expected
59%
Very Frequent
0%47%100%
Blowouts
Expected
20%
Frequent
0%29%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
0.49
Highly Predictable
00.522
Matchup Imbalance
0.56
Lopsided
00.10.180.280.5
Strangeness
Expected
0.63
Very Predictable
01.002
Repeatability
N/A
No prior ratings
00.30.60.851
Upset Rate
Expected
10%
Chalky
0%18%50%
Clear Favorite Upset Rate
Expected
10%
Solid Favorites
0%18%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 0.11 * Near Noise Ceiling: 0.11 to 0.17 * Above Noise: 0.17 to 0.23 * Well Above Noise: 0.23 and up.
Probability calibration
0.48
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
0.47
Overconfident
0.3138041.001.6862
Calibration error (ECE)
Noise ceiling
0.090
Well Within Noise
00.1140.3

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 Lost promotion playoff Same level Direct relegation
Sevilla 100%
Alaves 16.05% 73.10% 10.85%
Valencia 9.81% 73.48% 16.71%
Real Oviedo 11.53% 71.66% 16.81%
Iberia 10.52% 72.44% 17.04%
Sporting Gijon 10.84% 71.33% 17.83%
Real Betis 8.73% 71.28% 19.99%
Deportivo La Coruna 8.63% 71.22% 20.15%
Celta Vigo 5.75% 66.03% 28.22%
Racing Club Madrid 2.76% 57.35% 39.89%

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
1929-02-10 Sporting Gijon W 1-0 1441 1441 65.0% 17.4% 17.6% +3.7 2
1929-02-10 @ Deportivo La Coruna L 0-1 1441 1441 17.6% 17.4% 65.0% -3.7 0
1929-02-10 Alaves L 1-2 1441 1441 65.0% 17.4% 17.6% -11.0 0
1929-02-10 @ Iberia W 2-1 1441 1441 17.6% 17.4% 65.0% +11.0 2
1929-02-10 Celta Vigo W 3-1 1441 1441 65.0% 17.4% 17.6% +6.0 2
1929-02-10 @ Real Betis L 1-3 1441 1441 17.6% 17.4% 65.0% -6.0 0
1929-02-10 Racing Club Madrid W 4-2 1441 1441 65.0% 17.4% 17.6% +5.3 2
1929-02-10 @ Real Oviedo L 2-4 1441 1441 17.6% 17.4% 65.0% -5.3 0
1929-02-10 Sevilla D 2-2 1441 1441 65.0% 17.4% 17.6% -1.5 1
1929-02-10 @ Valencia D 2-2 1441 1441 17.6% 17.4% 65.0% +1.5 1
1929-02-17 Real Oviedo W 3-1 1452 1447 65.5% 17.4% 17.2% +5.8 4
1929-02-17 @ Alaves L 1-3 1447 1452 17.2% 17.4% 65.5% -5.8 2
1929-02-17 Valencia W 2-1 1435 1440 64.6% 17.4% 18.0% +3.5 2
1929-02-17 @ Celta Vigo L 1-2 1440 1435 18.0% 17.4% 64.6% -3.5 1
1929-02-17 Deportivo La Coruna L 1-4 1436 1445 64.1% 17.4% 18.4% -26.5 0
1929-02-17 @ Racing Club Madrid W 4-1 1445 1436 18.4% 17.4% 64.1% +26.5 4
1929-02-17 Iberia W 3-1 1443 1430 66.0% 17.3% 16.6% +5.7 3
1929-02-17 @ Sevilla L 1-3 1430 1443 16.6% 17.3% 66.0% -5.7 0
1929-02-17 Real Betis W 6-2 1438 1447 64.1% 17.4% 18.5% +9.7 2
1929-02-17 @ Sporting Gijon L 2-6 1447 1438 18.5% 17.4% 64.1% -9.7 2
1929-02-24 Sevilla D 2-2 1471 1448 66.9% 17.3% 15.8% -1.7 5
1929-02-24 @ Deportivo La Coruna D 2-2 1448 1471 15.8% 17.3% 66.9% +1.7 4
1929-02-24 Celta Vigo W 1-0 1425 1439 63.7% 17.5% 18.9% +3.9 2
1929-02-24 @ Iberia L 0-1 1439 1425 18.9% 17.5% 63.7% -3.9 2
1929-02-24 Alaves W 3-2 1438 1458 63.1% 17.5% 19.4% +3.6 4
1929-02-24 @ Real Betis L 2-3 1458 1438 19.4% 17.5% 63.1% -3.6 4
1929-02-24 Sporting Gijon W 6-2 1441 1447 64.4% 17.4% 18.2% +9.5 4
1929-02-24 @ Real Oviedo L 2-6 1447 1441 18.2% 17.4% 64.4% -9.5 2
1929-02-24 Racing Club Madrid W 2-0 1436 1409 67.2% 17.3% 15.5% +6.1 3
1929-02-24 @ Valencia L 0-2 1409 1436 15.5% 17.3% 67.2% -6.1 0
1929-03-03 Deportivo La Coruna W 3-1 1454 1470 63.6% 17.5% 19.0% +6.4 6
1929-03-03 @ Alaves L 1-3 1470 1454 19.0% 17.5% 63.6% -6.4 5
1929-03-03 Racing Club Madrid W 6-0 1435 1403 67.6% 17.3% 15.1% +16.7 4
1929-03-03 @ Celta Vigo L 0-6 1403 1435 15.1% 17.3% 67.6% -16.7 0
1929-03-03 Real Betis W 3-1 1450 1441 65.8% 17.4% 16.9% +5.8 6
1929-03-03 @ Real Oviedo L 1-3 1441 1450 16.9% 17.4% 65.8% -5.8 4
1929-03-03 Sporting Gijon W 1-0 1450 1438 66.0% 17.3% 16.6% +3.5 6
1929-03-03 @ Sevilla L 0-1 1438 1450 16.6% 17.3% 66.0% -3.5 2
1929-03-03 Iberia W 3-2 1442 1429 66.1% 17.3% 16.5% +3.1 5
1929-03-03 @ Valencia L 2-3 1429 1442 16.5% 17.3% 66.1% -3.1 2
1929-03-10 Celta Vigo W 4-2 1463 1452 66.0% 17.4% 16.7% +5.1 7
1929-03-10 @ Deportivo La Coruna L 2-4 1452 1463 16.7% 17.4% 66.0% -5.1 4
1929-03-10 Real Oviedo W 2-0 1425 1456 62.1% 17.5% 20.4% +7.9 4
1929-03-10 @ Iberia L 0-2 1456 1425 20.4% 17.5% 62.1% -7.9 6
1929-03-10 Sevilla D 1-1 1387 1454 58.3% 17.6% 24.1% -1.4 1
1929-03-10 @ Racing Club Madrid D 1-1 1454 1387 24.1% 17.6% 58.3% +1.5 7
1929-03-10 Valencia D 1-1 1435 1445 64.1% 17.4% 18.5% -2.0 5
1929-03-10 @ Real Betis D 1-1 1445 1435 18.5% 17.4% 64.1% +2.0 6
1929-03-10 Alaves D 1-1 1434 1461 62.5% 17.5% 20.0% -1.8 3
1929-03-10 @ Sporting Gijon D 1-1 1461 1434 20.0% 17.5% 62.5% +1.8 7
1929-03-24 Racing Club Madrid W 1-0 1463 1385 70.9% 17.0% 12.0% +2.6 9
1929-03-24 @ Alaves L 0-1 1385 1463 12.0% 17.0% 70.9% -2.6 1
1929-03-24 Real Betis D 0-0 1468 1433 67.9% 17.2% 14.9% -2.6 8
1929-03-24 @ Deportivo La Coruna D 0-0 1433 1468 14.9% 17.2% 67.9% +2.6 6
1929-03-24 Celta Vigo D 2-2 1455 1446 65.7% 17.4% 16.9% -1.6 8
1929-03-24 @ Sevilla D 2-2 1446 1455 16.9% 17.4% 65.7% +1.6 5
1929-03-24 Iberia D 2-2 1432 1433 64.9% 17.4% 17.7% -1.5 4
1929-03-24 @ Sporting Gijon D 2-2 1433 1432 17.7% 17.4% 64.9% +1.5 5
1929-03-24 Real Oviedo W 4-2 1447 1448 64.9% 17.4% 17.7% +5.4 8
1929-03-24 @ Valencia L 2-4 1448 1447 17.7% 17.4% 64.9% -5.4 6
1929-03-31 Alaves L 0-1 1448 1465 63.4% 17.5% 19.1% -11.3 5
1929-03-31 @ Celta Vigo W 1-0 1465 1448 19.1% 17.5% 63.4% +11.3 11
1929-03-31 Sporting Gijon W 4-0 1383 1431 60.3% 17.6% 22.1% +16.1 3
1929-03-31 @ Racing Club Madrid L 0-4 1431 1383 22.1% 17.6% 60.3% -16.1 4
1929-03-31 Iberia D 1-1 1436 1435 65.1% 17.4% 17.5% -2.1 7
1929-03-31 @ Real Betis D 1-1 1435 1436 17.5% 17.4% 65.1% +2.1 6
1929-03-31 Sevilla D 2-2 1443 1453 64.0% 17.4% 18.6% -1.5 7
1929-03-31 @ Real Oviedo D 2-2 1453 1443 18.6% 17.4% 64.0% +1.5 9
1929-03-31 Deportivo La Coruna W 2-1 1453 1466 63.8% 17.5% 18.8% +3.7 10
1929-03-31 @ Valencia L 1-2 1466 1453 18.8% 17.5% 63.8% -3.7 8
1929-04-07 Valencia W 1-0 1477 1456 66.7% 17.3% 16.0% +3.4 13
1929-04-07 @ Alaves L 0-1 1456 1477 16.0% 17.3% 66.7% -3.4 10
1929-04-07 Real Oviedo D 1-1 1462 1441 66.7% 17.3% 16.0% -2.2 9
1929-04-07 @ Deportivo La Coruna D 1-1 1441 1462 16.0% 17.3% 66.7% +2.2 8
1929-04-07 Racing Club Madrid W 3-2 1437 1399 68.1% 17.2% 14.6% +2.8 8
1929-04-07 @ Iberia L 2-3 1399 1437 14.6% 17.2% 68.1% -2.8 3
1929-04-07 Real Betis W 3-0 1455 1434 66.7% 17.3% 15.9% +9.1 11
1929-04-07 @ Sevilla L 0-3 1434 1455 15.9% 17.3% 66.7% -9.2 7
1929-04-07 Celta Vigo W 5-0 1415 1437 62.9% 17.5% 19.6% +17.8 6
1929-04-07 @ Sporting Gijon L 0-5 1437 1415 19.6% 17.5% 62.9% -17.8 5
1929-04-21 Iberia W 3-0 1460 1440 66.7% 17.3% 16.0% +9.2 11
1929-04-21 @ Deportivo La Coruna L 0-3 1440 1460 16.0% 17.3% 66.7% -9.2 8
1929-04-21 Real Betis L 1-2 1396 1425 62.3% 17.5% 20.2% -10.5 3
1929-04-21 @ Racing Club Madrid W 2-1 1425 1396 20.2% 17.5% 62.3% +10.5 9
1929-04-21 Celta Vigo W 5-0 1444 1419 67.0% 17.3% 15.7% +14.5 10
1929-04-21 @ Real Oviedo L 0-5 1419 1444 15.7% 17.3% 67.0% -14.5 5
1929-04-21 Alaves W 1-0 1464 1480 63.5% 17.5% 19.0% +3.9 13
1929-04-21 @ Sevilla L 0-1 1480 1464 19.0% 17.5% 63.5% -3.9 13
1929-04-21 Sporting Gijon D 0-0 1453 1433 66.7% 17.3% 16.0% -2.5 11
1929-04-21 @ Valencia D 0-0 1433 1453 16.0% 17.3% 66.7% +2.5 7
1929-04-28 Iberia D 1-1 1476 1430 68.7% 17.2% 14.1% -2.4 14
1929-04-28 @ Alaves D 1-1 1430 1476 14.1% 17.2% 68.7% +2.4 9
1929-04-28 Real Betis W 3-1 1404 1435 62.1% 17.5% 20.4% +6.8 7
1929-04-28 @ Celta Vigo L 1-3 1435 1404 20.4% 17.5% 62.1% -6.8 9
1929-04-28 Real Oviedo W 3-2 1385 1458 57.7% 17.6% 24.7% +4.4 5
1929-04-28 @ Racing Club Madrid L 2-3 1458 1385 24.7% 17.6% 57.7% -4.4 10
1929-04-28 Valencia W 4-2 1468 1451 66.5% 17.3% 16.2% +5.0 15
1929-04-28 @ Sevilla L 2-4 1451 1468 16.2% 17.3% 66.5% -5.0 11
1929-04-28 Deportivo La Coruna W 7-0 1435 1469 61.8% 17.5% 20.7% +25.7 9
1929-04-28 @ Sporting Gijon L 0-7 1469 1435 20.7% 17.5% 61.8% -25.7 11
1929-05-05 Racing Club Madrid W 5-2 1443 1390 69.3% 17.2% 13.6% +5.8 13
1929-05-05 @ Deportivo La Coruna L 2-5 1390 1443 13.6% 17.2% 69.3% -5.8 5
1929-05-05 Sevilla W 1-0 1433 1473 61.2% 17.5% 21.3% +4.3 11
1929-05-05 @ Iberia L 0-1 1473 1433 21.3% 17.5% 61.2% -4.3 15
1929-05-05 Sporting Gijon W 3-1 1428 1461 61.9% 17.5% 20.5% +6.9 11
1929-05-05 @ Real Betis L 1-3 1461 1428 20.5% 17.5% 61.9% -6.9 9
1929-05-05 Alaves W 2-1 1454 1474 63.1% 17.5% 19.4% +3.8 12
1929-05-05 @ Real Oviedo L 1-2 1474 1454 19.4% 17.5% 63.1% -3.8 14
1929-05-05 Celta Vigo W 3-2 1446 1411 67.8% 17.2% 14.9% +2.8 13
1929-05-05 @ Valencia L 2-3 1411 1446 14.9% 17.2% 67.8% -2.8 7
1929-05-12 Real Betis D 1-1 1470 1435 67.8% 17.2% 14.9% -2.3 15
1929-05-12 @ Alaves D 1-1 1435 1470 14.9% 17.2% 67.8% +2.3 12
1929-05-12 Iberia L 1-2 1408 1437 62.3% 17.5% 20.2% -10.5 7
1929-05-12 @ Celta Vigo W 2-1 1437 1408 20.2% 17.5% 62.3% +10.5 13
1929-05-12 Valencia W 4-3 1384 1448 58.6% 17.6% 23.8% +4.2 7
1929-05-12 @ Racing Club Madrid L 3-4 1448 1384 23.8% 17.6% 58.6% -4.2 13
1929-05-12 Deportivo La Coruna W 2-0 1469 1449 66.6% 17.3% 16.1% +6.3 17
1929-05-12 @ Sevilla L 0-2 1449 1469 16.1% 17.3% 66.6% -6.4 13
1929-05-12 Real Oviedo W 3-2 1454 1457 64.6% 17.4% 17.9% +3.3 11
1929-05-12 @ Sporting Gijon L 2-3 1457 1454 17.9% 17.4% 64.6% -3.3 12
1929-05-26 Alaves L 0-1 1443 1468 62.7% 17.5% 19.8% -11.2 13
1929-05-26 @ Deportivo La Coruna W 1-0 1468 1443 19.8% 17.5% 62.7% +11.2 17
1929-05-26 Valencia W 3-1 1448 1444 65.3% 17.4% 17.3% +5.9 15
1929-05-26 @ Iberia L 1-3 1444 1448 17.3% 17.4% 65.3% -5.9 13
1929-05-26 Celta Vigo W 2-1 1388 1398 64.1% 17.4% 18.5% +3.6 9
1929-05-26 @ Racing Club Madrid L 1-2 1398 1388 18.5% 17.4% 64.1% -3.6 7
1929-05-26 Real Oviedo W 3-2 1438 1454 63.5% 17.5% 19.1% +3.5 14
1929-05-26 @ Real Betis L 2-3 1454 1438 19.1% 17.5% 63.5% -3.5 12
1929-05-26 Sevilla W 2-1 1457 1475 63.3% 17.5% 19.2% +3.7 13
1929-05-26 @ Sporting Gijon L 1-2 1475 1457 19.2% 17.5% 63.3% -3.7 17
1929-05-30 Sporting Gijon W 6-0 1479 1461 66.5% 17.3% 16.2% +17.7 19
1929-05-30 @ Alaves L 0-6 1461 1479 16.2% 17.3% 66.5% -17.8 13
1929-05-30 Deportivo La Coruna D 1-1 1394 1432 61.5% 17.5% 21.0% -1.7 8
1929-05-30 @ Celta Vigo D 1-1 1432 1394 21.0% 17.5% 61.5% +1.7 14
1929-05-30 Iberia W 2-1 1451 1454 64.7% 17.4% 17.9% +3.5 14
1929-05-30 @ Real Oviedo L 1-2 1454 1451 17.9% 17.4% 64.7% -3.5 15
1929-05-30 Racing Club Madrid W 2-1 1471 1392 71.1% 17.0% 11.9% +2.4 19
1929-05-30 @ Sevilla L 1-2 1392 1471 11.9% 17.0% 71.1% -2.4 9
1929-05-30 Real Betis W 3-1 1438 1441 64.7% 17.4% 17.9% +6.1 15
1929-05-30 @ Valencia L 1-3 1441 1438 17.9% 17.4% 64.7% -6.1 14
1929-06-02 Sevilla W 3-2 1393 1474 56.8% 17.6% 25.6% +4.6 10
1929-06-02 @ Celta Vigo L 2-3 1474 1393 25.6% 17.6% 56.8% -4.6 19
1929-06-02 Sporting Gijon D 3-3 1450 1443 65.6% 17.4% 17.1% -1.3 16
1929-06-02 @ Iberia D 3-3 1443 1450 17.1% 17.4% 65.6% +1.3 14
1929-06-02 Alaves W 3-2 1389 1496 53.7% 17.7% 28.6% +5.0 11
1929-06-02 @ Racing Club Madrid L 2-3 1496 1389 28.6% 17.7% 53.7% -5.0 19
1929-06-02 Deportivo La Coruna W 8-0 1435 1433 65.1% 17.4% 17.5% +25.0 16
1929-06-02 @ Real Betis L 0-8 1433 1435 17.5% 17.4% 65.1% -25.0 14
1929-06-02 Valencia L 1-2 1454 1444 65.8% 17.4% 16.8% -11.1 14
1929-06-02 @ Real Oviedo W 2-1 1444 1454 16.8% 17.4% 65.8% +11.1 17
1929-06-09 Celta Vigo D 1-1 1491 1397 72.0% 16.9% 11.1% -2.7 20
1929-06-09 @ Alaves D 1-1 1397 1491 11.1% 16.9% 72.0% +2.7 11
1929-06-09 Valencia W 2-0 1408 1456 60.4% 17.6% 22.0% +8.4 16
1929-06-09 @ Deportivo La Coruna L 0-2 1456 1408 22.0% 17.6% 60.4% -8.4 17
1929-06-09 Real Betis W 3-2 1449 1460 63.9% 17.4% 18.6% +3.5 18
1929-06-09 @ Iberia L 2-3 1460 1449 18.6% 17.4% 63.9% -3.4 16
1929-06-09 Real Oviedo W 5-2 1469 1443 67.2% 17.3% 15.5% +6.5 21
1929-06-09 @ Sevilla L 2-5 1443 1469 15.5% 17.3% 67.2% -6.5 14
1929-06-09 Racing Club Madrid W 5-1 1444 1394 69.0% 17.2% 13.8% +8.7 16
1929-06-09 @ Sporting Gijon L 1-5 1394 1444 13.8% 17.2% 69.0% -8.7 11
1929-06-16 Sporting Gijon D 1-1 1400 1453 59.8% 17.6% 22.6% -1.6 12
1929-06-16 @ Celta Vigo D 1-1 1453 1400 22.6% 17.6% 59.8% +1.6 17
1929-06-16 Iberia L 0-4 1386 1452 58.4% 17.6% 24.0% -37.4 11
1929-06-16 @ Racing Club Madrid W 4-0 1452 1386 24.0% 17.6% 58.4% +37.4 20
1929-06-16 Sevilla W 2-1 1457 1476 63.2% 17.5% 19.3% +3.8 18
1929-06-16 @ Real Betis L 1-2 1476 1457 19.3% 17.5% 63.2% -3.8 21
1929-06-16 Deportivo La Coruna W 3-1 1436 1417 66.6% 17.3% 16.0% +5.5 16
1929-06-16 @ Real Oviedo L 1-3 1417 1436 16.0% 17.3% 66.6% -5.5 16
1929-06-16 Alaves W 3-0 1447 1489 61.0% 17.5% 21.4% +12.0 19
1929-06-16 @ Valencia L 0-3 1489 1447 21.4% 17.5% 61.0% -12.0 20
1929-06-23 Sevilla D 1-1 1477 1472 65.4% 17.4% 17.2% -2.1 21
1929-06-23 @ Alaves D 1-1 1472 1477 17.2% 17.4% 65.4% +2.1 22
1929-06-23 Real Oviedo D 3-3 1398 1442 60.8% 17.5% 21.6% -1.0 13
1929-06-23 @ Celta Vigo D 3-3 1442 1398 21.6% 17.5% 60.8% +1.0 17
1929-06-23 Deportivo La Coruna W 2-1 1490 1411 71.0% 17.0% 12.0% +2.4 22
1929-06-23 @ Iberia L 1-2 1411 1490 12.0% 17.0% 71.0% -2.4 16
1929-06-23 Racing Club Madrid L 1-4 1460 1348 73.1% 16.8% 10.1% -30.3 18
1929-06-23 @ Real Betis W 4-1 1348 1460 10.1% 16.8% 73.1% +30.3 13
1929-06-23 Valencia W 3-1 1455 1459 64.6% 17.4% 18.0% +6.1 19
1929-06-23 @ Sporting Gijon L 1-3 1459 1455 18.0% 17.4% 64.6% -6.1 19

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 1929-06-23 10.11% Racing Club Madrid 1348 4 @ Real Betis 1460 1
2 1929-06-02 16.84% Valencia 1444 2 @ Real Oviedo 1454 1
3 1929-02-10 17.64% Alaves 1441 2 @ Iberia 1441 1
4 1929-02-17 18.41% Deportivo La Coruna 1445 4 @ Racing Club Madrid 1436 1
5 1929-03-31 19.14% Alaves 1465 1 @ Celta Vigo 1448 0
6 1929-05-26 19.82% Alaves 1468 1 @ Deportivo La Coruna 1443 0
7 1929-05-12 20.21% Iberia 1437 2 @ Celta Vigo 1408 1
8 1929-04-21 20.22% Real Betis 1425 2 @ Racing Club Madrid 1396 1
9 1929-06-16 24.01% Iberia 1452 4 @ Racing Club Madrid 1386 0

Biggest Elo Changes

The 25 games that resulted in the largest shift in Elo rating.

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 1929-06-16 37.39 Iberia 4 1452 24.01% @ Racing Club Madrid 0 1386 58.38% 17.61%
2 1929-06-23 30.29 Racing Club Madrid 4 1348 10.11% @ Real Betis 1 1460 73.11% 16.79%
3 1929-02-17 26.50 Deportivo La Coruna 4 1445 18.41% @ Racing Club Madrid 1 1436 64.15% 17.44%
4 1929-04-28 25.70 @ Sporting Gijon 7 1435 61.76% Deportivo La Coruna 0 1469 20.71% 17.53%
5 1929-06-02 25.04 @ Real Betis 8 1435 65.12% Deportivo La Coruna 0 1433 17.48% 17.40%
6 1929-04-07 17.77 @ Sporting Gijon 5 1415 62.95% Celta Vigo 0 1437 19.57% 17.49%
7 1929-05-30 17.75 @ Alaves 6 1479 66.48% Sporting Gijon 0 1461 16.19% 17.33%
8 1929-03-03 16.67 @ Celta Vigo 6 1435 67.61% Racing Club Madrid 0 1403 15.13% 17.27%
9 1929-03-31 16.09 @ Racing Club Madrid 4 1383 60.32% Sporting Gijon 0 1431 22.12% 17.57%
10 1929-04-21 14.49 @ Real Oviedo 5 1444 67.04% Celta Vigo 0 1419 15.66% 17.30%
11 1929-06-16 11.98 @ Valencia 3 1447 61.00% Alaves 0 1489 21.45% 17.55%
12 1929-03-31 11.34 Alaves 1 1465 19.14% @ Celta Vigo 0 1448 63.39% 17.47%
13 1929-05-26 11.21 Alaves 1 1468 19.82% @ Deportivo La Coruna 0 1443 62.68% 17.50%
14 1929-06-02 11.10 Valencia 2 1444 16.84% @ Real Oviedo 1 1454 65.80% 17.37%
15 1929-02-10 10.95 Alaves 2 1441 17.64% @ Iberia 1 1441 64.96% 17.41%
16 1929-04-21 10.50 Real Betis 2 1425 20.22% @ Racing Club Madrid 1 1396 62.27% 17.51%
17 1929-05-12 10.50 Iberia 2 1437 20.21% @ Celta Vigo 1 1408 62.29% 17.51%
18 1929-02-17 9.67 @ Sporting Gijon 6 1438 64.09% Real Betis 2 1447 18.47% 17.44%
19 1929-02-24 9.54 @ Real Oviedo 6 1441 64.38% Sporting Gijon 2 1447 18.19% 17.43%
20 1929-04-21 9.17 @ Deportivo La Coruna 3 1460 66.69% Iberia 0 1440 15.99% 17.32%
21 1929-04-07 9.15 @ Sevilla 3 1455 66.74% Real Betis 0 1434 15.94% 17.32%
22 1929-06-09 8.72 @ Sporting Gijon 5 1444 69.01% Racing Club Madrid 1 1394 13.82% 17.17%
23 1929-06-09 8.44 @ Deportivo La Coruna 2 1408 60.43% Valencia 0 1456 22.00% 17.56%
24 1929-03-10 7.88 @ Iberia 2 1425 62.10% Real Oviedo 0 1456 20.38% 17.51%
25 1929-05-05 6.87 @ Real Betis 3 1428 61.94% Sporting Gijon 1 1461 20.54% 17.52%