Leagues

League · France

Ligue 2 2023-24 statistics

2023-24 season

Matches played
380
Goals per match
2.46
Home win
40%
Draw
29%
Away win
31%
3+ goals
47%
Both teams scored
49%

Table

#TeamPWDLGFGAGDPts
1Auxerre38211167236+3674
2Angers38208105642+1468
3Saint Etienne38198114831+1765
4Rodez381612106251+1160
5Paris FC381611114942+759
6Caen38177145145+658
7Laval381510134045-555
8Amiens38121793636053
9Guingamp381312134440+451
10PAU381312136057+351
11Grenoble381312134344-151
12Bordeaux38149155052-251
13Bastia38149154448-451
14Annecy381210164950-146
15Ajaccio381210163546-1146
16Dunkerque381210163652-1646
17Estac Troyes38915144350-742
18Quevilly38717145155-438
19Concarneau38108203957-1838
20Valenciennes38512212655-2927

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)
Saint Etienne69.5%97.1%0.0%69.6
Annecy8.0%60.4%0.0%58.4
Montpellier6.3%54.0%0.1%57.4
Metz6.0%54.6%0.0%57.4
Rodez5.0%50.2%0.1%56.5
Reims3.5%41.5%0.1%55.0
Dunkerque1.1%21.1%0.8%51.0
RED Star FC 930.5%14.2%1.3%49.2
Guingamp0.0%2.5%9.3%42.4
Clermont Foot0.0%1.3%15.4%40.4
Laval0.0%1.0%16.5%40.2
Nancy0.0%0.9%20.0%39.0
Grenoble0.0%0.5%23.0%38.5
PAU0.0%0.3%33.5%36.4
Boulogne0.0%0.2%35.0%35.9
Dijon0.0%0.2%37.4%35.5
Sochaux0.0%0.1%45.4%34.2
Nantes0.0%0.0%62.3%31.7

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%39659%
60%12371%
70%1979%
Double chance
Model at leastPredictionsRealised
75%72181%
80%29184%
85%9387%
Goals markets
Model at leastPredictionsRealised
50%117954%
55%46159%
60%10163%

And if it had to answer every match?

Model
47%
Always pick home
42%
Picking at random
33%
Reachable ceiling
72%

Why that ceiling is not 100%: 28% 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: 1304. 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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