League · France

Ligue 2 2025-26 statistics

2025-26 season

Matches played: 305
Goals per match: 2.54
Home win: 38%
Draw: 30%
Away win: 32%
3+ goals: 48%
Both teams scored: 52%

Table

#	Team	P	W	D	L	GF	GA	GD	Pts
1	Estac Troyes	34	20	7	7	60	33	+27	67
2	Le Mans	34	16	14	4	50	31	+19	62
3	Saint Etienne	34	18	6	10	59	38	+21	60
4	Rodez	34	15	13	6	45	39	+6	58
5	Reims	34	14	14	6	53	35	+18	56
6	RED Star FC 93	34	15	11	8	45	37	+8	56
7	Annecy	34	15	7	12	49	39	+10	52
8	Montpellier	34	14	9	11	41	31	+10	51
9	PAU	34	12	9	13	48	62	-14	45
10	Dunkerque	34	11	10	13	53	45	+8	43
11	Guingamp	34	10	10	14	42	49	-7	40
12	Grenoble	34	8	15	11	33	39	-6	39
13	Clermont Foot	34	9	10	15	38	44	-6	37
14	Nancy	34	9	10	15	35	52	-17	37
15	Boulogne	34	9	9	16	34	49	-15	36
16	Laval	34	6	14	14	30	48	-18	32
17	Bastia	34	5	14	15	23	39	-16	29
18	Amiens	34	6	6	22	37	65	-28	24

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.

Team	Title	Top 4	Bottom 3	Pts (avg)
Saint Etienne	69.5%	97.1%	0.0%	69.6
Annecy	8.0%	60.4%	0.0%	58.4
Montpellier	6.3%	54.0%	0.1%	57.4
Metz	6.0%	54.6%	0.0%	57.4
Rodez	5.0%	50.2%	0.1%	56.5
Reims	3.5%	41.5%	0.1%	55.0
Dunkerque	1.1%	21.1%	0.8%	51.0
RED Star FC 93	0.5%	14.2%	1.3%	49.2
Guingamp	0.0%	2.5%	9.3%	42.4
Clermont Foot	0.0%	1.3%	15.4%	40.4
Laval	0.0%	1.0%	16.5%	40.2
Nancy	0.0%	0.9%	20.0%	39.0
Grenoble	0.0%	0.5%	23.0%	38.5
PAU	0.0%	0.3%	33.5%	36.4
Boulogne	0.0%	0.2%	35.0%	35.9
Dijon	0.0%	0.2%	37.4%	35.5
Sochaux	0.0%	0.1%	45.4%	34.2
Nantes	0.0%	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 least	Predictions	Realised
≥ 50%	396	59%
≥ 60%	123	71%
≥ 70%	19	79%

Double chance
Model at least	Predictions	Realised
≥ 75%	721	81%
≥ 80%	291	84%
≥ 85%	93	87%

Goals markets
Model at least	Predictions	Realised
≥ 50%	1179	54%
≥ 55%	461	59%
≥ 60%	101	63%

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 →