Leagues

League · Germany

Bundesliga 2022-23 statistics

2022-23 season

Matches played
306
Goals per match
3.17
Home win
47%
Draw
25%
Away win
28%
3+ goals
60%
Both teams scored
59%

Table

#TeamPWDLGFGAGDPts
1Bayern München3421859238+5471
2Borussia Dortmund3422578344+3971
3RB Leipzig3420686441+2366
4Union Berlin3418885138+1362
5SC Freiburg3417895144+759
6Bayer Leverkusen34148125749+850
7Eintracht Frankfurt341311105852+650
8VfL Wolfsburg341310115748+949
9FSV Mainz 05341210125455-146
10Borussia Mönchengladbach341110135255-343
111. FC Köln341012124954-542
121899 Hoffenheim34106184857-936
13Werder Bremen34106185164-1336
14VfL Bochum34105194072-3235
15FC Augsburg3497184263-2134
16VfB Stuttgart34712154557-1233
17FC Schalke 0434710173571-3631
18Hertha BSC3478194269-2729

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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