Leagues

League · Germany

2. Bundesliga 2024-25 statistics

2024-25 season

Matches played
306
Goals per match
3.02
Home win
41%
Draw
28%
Away win
31%
3+ goals
59%
Both teams scored
60%

Table

#TeamPWDLGFGAGDPts
11. FC Köln3418795338+1561
2Hamburger SV34161177844+3459
3SV Elversberg34161086437+2758
4SC Paderborn 0734151095646+1055
51. FC Magdeburg34141196452+1253
6Fortuna Düsseldorf34141195752+553
71. FC Kaiserslautern34158115655+153
8Karlsruher SC341410105755+252
9Hannover 9634131294136+551
101. FC Nürnberg34146146057+348
11Hertha BSC34128144951-244
12SV Darmstadt 9834119145655+142
13SpVgg Greuther Fürth34109154559-1439
14FC Schalke 0434108165262-1038
15Preußen Münster34812144043-336
16Eintracht Braunschweig34811153864-2635
17SSV Ulm 184634612163648-1230
18SSV Jahn Regensburg3467212371-4825

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)
1. FC Nürnberg33.3%70.4%0.2%59.5
Hertha BSC10.2%39.1%1.2%53.9
VfL Wolfsburg9.6%38.3%1.3%53.8
Arminia Bielefeld8.1%35.9%1.6%53.0
Dynamo Dresden5.6%29.1%2.8%51.8
Hannover 965.9%29.3%2.4%51.8
VfL Bochum4.9%26.2%2.7%51.3
FC St. Pauli4.2%21.7%3.8%50.2
SV Darmstadt 984.3%22.2%3.8%50.1
1. FC Kaiserslautern3.3%18.8%4.8%49.4
Karlsruher SC3.3%18.4%5.4%49.3
Holstein Kiel2.9%16.7%5.8%48.8
Energie Cottbus2.5%15.3%6.1%48.6
1. FC Magdeburg1.3%10.4%10.4%46.7
Eintracht Braunschweig0.6%6.2%15.3%44.4
SpVgg Greuther Fürth0.1%2.1%34.1%40.7
1. FC Heidenheim0.0%0.0%98.2%24.3
VfL Osnabrück0.0%0.0%99.9%17.9

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%37457%
60%10768%
70%2273%
Double chance
Model at leastPredictionsRealised
75%81879%
80%21486%
85%6088%
Goals markets
Model at leastPredictionsRealised
50%219960%
55%192061%
60%125463%

And if it had to answer every match?

Model
49%
Always pick home
44%
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: 1149. 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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