Leagues

League · Germany

Bundesliga 2023-24 statistics

2023-24 season

Matches played
306
Goals per match
3.22
Home win
44%
Draw
26%
Away win
30%
3+ goals
62%
Both teams scored
62%

Table

#TeamPWDLGFGAGDPts
1Bayer Leverkusen3428608924+6590
2VfB Stuttgart3423477839+3973
3Bayern München3423389445+4972
4RB Leipzig3419877739+3865
5Borussia Dortmund3418976843+2563
6Eintracht Frankfurt34111495150+147
71899 Hoffenheim34137146666046
81. FC Heidenheim341012125055-542
9Werder Bremen34119144854-642
10SC Freiburg34119144558-1342
11FC Augsburg34109155060-1039
12VfL Wolfsburg34107174156-1537
13FSV Mainz 0534714133951-1235
14Borussia Mönchengladbach34713145667-1134
15Union Berlin3496193358-2533
16VfL Bochum34712154274-3233
171. FC Köln34512172860-3227
18SV Darmstadt 983438233086-5617

The table is computed from match results; matches decided by forfeit count with the score declared by the federation. Points deducted or awarded separately are not reflected. Only regular-season matches count — play-offs and relegation matches are excluded.

Teams in this league

Every team in this season's fixture list. Unlike the standings table, teams that have not played yet also appear here.

Season simulation

The remaining fixtures were played out 10,000 times using the model's current probabilities. Percentages below are how often each team finished in that position.

TeamTitleTop 4Bottom 3Pts (avg)
Bayern München93.6%100.0%0.0%81.4
Borussia Dortmund4.3%90.1%0.0%65.7
Bayer Leverkusen0.9%67.2%0.0%59.7
VfB Stuttgart0.8%62.9%0.0%58.9
RB Leipzig0.3%39.0%0.3%54.8
1899 Hoffenheim0.1%10.0%3.5%47.6
Eintracht Frankfurt0.0%7.4%6.0%45.9
SV Elversberg0.0%5.7%6.1%45.5
SC Paderborn 070.0%5.6%5.7%45.4
FSV Mainz 050.0%4.9%7.6%44.7
SC Freiburg0.0%3.0%11.5%42.8
Borussia Mönchengladbach0.0%1.9%14.8%41.5
Hamburger SV0.0%0.9%23.1%39.1
FC Augsburg0.0%0.5%30.9%37.6
Union Berlin0.0%0.5%31.2%37.5
1. FC Köln0.0%0.3%37.9%36.4
Werder Bremen0.0%0.3%44.3%35.2
FC Schalke 040.0%0.0%77.0%29.4

Method: ratings are frozen as of the run date; ties break by points-GD-goals, country-specific rules not applied. Pairings below the publishing threshold use the model's prior rating. The table refreshes whenever the script is re-run.

Generated: 2026-08-23 · 3 · 10,000

The model's record in this league

The model's claim is not “I know every match” — it is “I know where I'm confident”. Measured in this league:

Match result
Model at leastPredictionsRealised
50%57664%
60%32571%
70%16379%
Double chance
Model at leastPredictionsRealised
75%119882%
80%62387%
85%33991%
Goals markets
Model at leastPredictionsRealised
50%207862%
55%174665%
60%117370%

And if it had to answer every match?

Model
55%
Always pick home
43%
Picking at random
33%
Reachable ceiling
75%

Why that ceiling is not 100%: 25% of matches in this league end in a draw, and a draw is almost never the single most likely outcome on its own. So one “accuracy” figure cannot be read on its own — it is read next to these anchors.

Matches measured: 1131. The thresholds were not cherry-picked — all of them are shown. Incorrect predictions are included and none are hidden.

Full track record

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