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2026-27 Bundesliga Season

0 games played · 18 teams

Live

Season Status

In Progress

Awaiting final results

Title Favorite

Bayern Munich

84.55% chance to win the title

Biggest Overachiever

1. FC Koln

0.00 points above expected

0 points · 0.00 expected points

Biggest Disappointment

1. FC Koln

0.00 points below expected

0 points · 0.00 expected points

League Table

Each team's record through games played. SimPts is the model's expected points through the same games — the sum over completed games of pregame win-probability × 3 plus tie-probability × 1. vsSim shows actual points minus that expectation — positive means the team has overachieved against the model so far.

# Team GP W D L Pts GF GA GD SimPts vsSim
1 1. FC Koln 0 0 0 0 0 0 0 0 0.00 +0.00
2 Bayer Leverkusen 0 0 0 0 0 0 0 0 0.00 +0.00
3 Bayern Munich 0 0 0 0 0 0 0 0 0.00 +0.00
4 Borussia Dortmund 0 0 0 0 0 0 0 0 0.00 +0.00
5 Borussia Monchengladbach 0 0 0 0 0 0 0 0 0.00 +0.00
6 Eintracht Frankfurt 0 0 0 0 0 0 0 0 0.00 +0.00
7 Elversberg 0 0 0 0 0 0 0 0 0.00 +0.00
8 FC Augsburg 0 0 0 0 0 0 0 0 0.00 +0.00
9 Freiburg 0 0 0 0 0 0 0 0 0.00 +0.00
10 Hamburger SV 0 0 0 0 0 0 0 0 0.00 +0.00
11 Hoffenheim 0 0 0 0 0 0 0 0 0.00 +0.00
12 Mainz 05 0 0 0 0 0 0 0 0 0.00 +0.00
13 Paderborn 07 0 0 0 0 0 0 0 0 0.00 +0.00
14 RB Leipzig 0 0 0 0 0 0 0 0 0.00 +0.00
15 Schalke 04 0 0 0 0 0 0 0 0 0.00 +0.00
16 Union Berlin 0 0 0 0 0 0 0 0 0.00 +0.00
17 VfB Stuttgart 0 0 0 0 0 0 0 0 0.00 +0.00
18 Werder Bremen 0 0 0 0 0 0 0 0 0.00 +0.00

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.)

No game-level data.

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.

No game-level data.
No game-level data.

Season Summary

Every team's season-to-date record alongside the projected end-of-season points totals from 100,000 simulations. Click any column header to sort. Exp. Pts. Rem. is the expected additional points the model thinks the team will accumulate over the rest of the season.

Team Elo Points Avg Exp. Pts. Rem. Min 5th Q1 Median Q3 95th Max
Bayern Munich 2257 0 79.06 79.06 48 69 75 79 83 89 100
Borussia Dortmund 2107 0 66.59 66.59 40 55 62 67 71 78 90
VfB Stuttgart 2065 0 62.23 62.23 35 50 57 62 67 74 90
Bayer Leverkusen 2059 0 61.83 61.83 38 50 57 62 67 74 87
RB Leipzig 2036 0 59.36 59.36 34 47 54 59 64 71 85
Hoffenheim 1955 0 49.65 49.65 18 38 45 50 55 62 76
Eintracht Frankfurt 1936 0 47.34 47.34 22 35 42 47 52 59 73
Freiburg 1924 0 46.01 46.01 15 34 41 46 51 58 74
Mainz 05 1912 0 44.38 44.38 18 33 39 44 49 56 71
Borussia Monchengladbach 1904 0 43.43 43.43 19 32 39 43 48 55 69
Hamburger SV 1869 0 39.17 39.17 15 28 34 39 44 51 70
Union Berlin 1860 0 38.11 38.11 14 26 33 38 43 50 67
FC Augsburg 1858 0 37.83 37.83 15 26 33 38 42 49 68
Werder Bremen 1838 0 35.43 35.43 9 24 31 35 40 47 67
Elversberg 1825 0 33.83 33.83 9 23 29 34 38 45 63
1. FC Koln 1825 0 33.97 33.97 12 23 29 34 39 45 59
Paderborn 07 1822 0 33.55 33.55 10 23 29 33 38 45 61
Schalke 04 1804 0 31.55 31.55 9 21 27 31 36 43 57

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

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
Allowed
Differential

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.

No data available.

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 1. FC Koln 0 0.00 +0.00
2 Bayer Leverkusen 0 0.00 +0.00
3 VfB Stuttgart 0 0.00 +0.00
4 Union Berlin 0 0.00 +0.00
5 Schalke 04 0 0.00 +0.00

Biggest Disappointments

# Team Actual Sim vsSim
1 1. FC Koln 0 0.00 +0.00
2 Union Berlin 0 0.00 +0.00
3 Schalke 04 0 0.00 +0.00
4 RB Leipzig 0 0.00 +0.00
5 Paderborn 07 0 0.00 +0.00

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).

Team123456789101112131415161718
1. FC Koln0.01%0.23%0.58%1.22%2.25%3.39%5.22%6.30%7.64%9.03%9.95%12.00%13.43%14.04%14.71%
Bayer Leverkusen2.70%17.58%23.19%23.33%17.43%8.09%3.72%2.04%1.02%0.56%0.16%0.10%0.07%0.01%
Bayern Munich84.55%12.07%2.45%0.67%0.21%0.03%0.01%0.01%
Borussia Dortmund8.36%38.73%24.13%15.45%8.19%3.20%1.29%0.36%0.18%0.08%0.02%0.01%
Borussia Monchengladbach0.05%0.66%1.20%3.45%6.90%10.25%11.71%12.33%10.63%10.23%8.57%7.20%5.97%4.54%3.22%2.11%0.98%
Eintracht Frankfurt0.01%0.46%1.61%3.64%7.92%14.05%14.89%13.37%11.85%8.59%6.93%5.07%4.37%2.71%2.07%1.34%0.72%0.40%
Elversberg0.03%0.07%0.10%0.56%1.15%2.00%3.43%4.98%6.00%7.41%8.80%10.59%12.36%13.12%13.95%15.45%
FC Augsburg0.02%0.02%0.12%0.70%1.82%3.30%5.48%6.75%8.71%9.48%10.71%10.86%10.12%9.63%8.87%7.43%5.98%
Freiburg0.01%0.33%1.00%2.85%5.66%11.28%13.80%13.95%11.99%9.99%7.74%7.02%4.66%3.48%2.50%1.80%1.44%0.50%
Hamburger SV0.02%0.10%0.33%1.04%2.70%5.02%6.58%8.51%9.44%10.46%9.88%10.51%9.58%8.36%7.53%5.87%4.07%
Hoffenheim0.02%0.94%2.97%6.26%10.71%18.61%15.75%12.97%9.12%7.39%5.37%3.82%2.24%1.84%0.93%0.64%0.32%0.10%
Mainz 050.06%0.66%1.74%4.41%9.10%11.26%11.94%11.94%11.00%9.82%8.04%6.44%4.85%3.74%2.31%1.86%0.83%
Paderborn 070.01%0.04%0.13%0.55%1.22%2.20%2.77%4.26%5.85%7.11%8.57%10.54%12.33%13.40%14.64%16.38%
RB Leipzig1.25%11.02%17.83%22.51%21.86%11.66%6.53%3.58%1.54%1.03%0.53%0.40%0.15%0.04%0.04%0.03%
Schalke 040.06%0.29%0.73%1.19%2.07%2.66%4.09%5.39%7.12%9.09%10.74%13.51%18.28%24.78%
Union Berlin0.02%0.07%0.21%0.68%2.04%4.32%5.50%7.46%8.87%9.49%10.13%10.02%10.18%9.27%8.68%7.56%5.50%
VfB Stuttgart3.10%18.69%25.23%21.53%16.86%7.50%3.57%1.88%0.84%0.42%0.20%0.10%0.03%0.02%0.02%0.01%
Werder Bremen0.01%0.03%0.05%0.36%1.04%1.97%2.99%4.81%6.17%7.33%8.60%9.93%11.03%11.47%12.11%11.78%10.32%

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).

No data available.

Season Trends

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

Season metrics are available for completed seasons.

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 Lost relegation playoff Direct relegation
Bayer Leverkusen 100%
Bayern Munich 100%
Borussia Dortmund 100%
VfB Stuttgart 99.99% 0.01%
RB Leipzig 99.97% 0.03%
Hoffenheim 98.94% 0.64% 0.42%
Eintracht Frankfurt 97.54% 1.34% 1.12%
Freiburg 96.26% 1.80% 1.94%
Mainz 05 95.00% 2.31% 2.69%
Borussia Monchengladbach 93.69% 3.22% 3.09%
Hamburger SV 82.53% 7.53% 9.94%
Union Berlin 78.26% 8.68% 13.06%
FC Augsburg 77.72% 8.87% 13.41%
Werder Bremen 65.79% 12.11% 22.10%
1. FC Koln 57.82% 13.43% 28.75%
Elversberg 57.48% 13.12% 29.40%
Paderborn 07 55.58% 13.40% 31.02%
Schalke 04 43.43% 13.51% 43.06%

No Game Data

Game logs will appear here once regular-season games are loaded.