Leagues

League · France

Ligue 2 2024-25 statistics

2024-25 season

Matches played
306
Goals per match
2.58
Home win
49%
Draw
24%
Away win
28%
3+ goals
48%
Both teams scored
48%

Table

#TeamPWDLGFGAGDPts
1Lorient3422576831+3771
2Paris FC3421675533+2269
3Metz34181156434+3065
4Dunkerque34175124740+756
5Guingamp34174135745+1255
6Annecy34149114243-151
7Laval34148124438+650
8Bastia34111584337+648
9Grenoble34137144344-146
10Estac Troyes34135163634+244
11Amiens34134173850-1243
12Ajaccio34126163042-1242
13PAU341012123953-1442
14Rodez34912135654+239
15RED Star FC 9334911143751-1438
16Clermont Foot34712153046-1633
17Martigues3495202956-2732
18Caen3457223158-2722

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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