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Ligue 2

Referee: A Perreau Niel

Clermont

S U S T U

0–0

Full-time

Troyes

S S T S S

Retrospective analysis — the model is trained only on matches played before this one.

🔒 Who wins? Pro

The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Clermont Troyes

Last 6 — all competitions · 6/6 matches

Win Ø 50%

33%

67%

Points per game

1,5

2,2

Over 2.5 Ø 50%

67%

33%

Both score Ø 67%

100%

33%

Average goals

3,3

1,8

Scored

1,8

1,2

Conceded

1,5

0,7

Goal diff per game

+0,3

+0,5

This season — Ligue 2 · 1/1 matches

Win Ø 50%

100%

Points per game

1,0

3,0

Over 2.5 Ø 100%

100%

Both score Ø 100%

100%

Average goals

4,0

3,0

Scored

2,0

Conceded

2,0

1,0

Goal diff per game

+0,0

+1,0

🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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Match stats

Half-time score: 0–0

53% Possession 47%

4 Shots 11

1 Shots on target 2

1 Blocked shots 1

2 Goalkeeper saves 1

3 Corners 3

4 Offside 2

12 Free kicks against 12

2 Yellow cards 3

0 Red cards 0

The table before the match Clermont 10. · Troyes 2. ▾

#	Team	K	V	U	T	+/−	P
1	Pau FC	1	1	0	0	+2	3
2	Troyes	1	1	0	0	+1	3
3	Guingamp	1	0	1	0	+0	1
4	Le Mans	1	0	1	0	+0	1
5	Laval	1	0	1	0	+0	1
6	St Etienne	1	0	1	0	+0	1
7	Amiens	1	0	1	0	+0	1
8	Reims	1	0	1	0	+0	1
9	Dunkerque	1	0	1	0	+0	1
10	Clermont	1	0	1	0	+0	1
11	Montpellier	1	0	1	0	+0	1
12	Red Star	1	0	1	0	+0	1
13	Rodez	1	0	1	0	+0	1
14	Nancy	1	0	1	0	+0	1
15	Grenoble	1	0	0	1	-1	0
16	Annecy	1	0	0	1	-2	0

#	Team	K	V	U	+/−	P
1	Pau FC	1	1	0	+2	3
2	Troyes	1	1	0	+1	3
3	Guingamp	1	0	1	+0	1
4	Laval	1	0	1	+0	1
5	Amiens	1	0	1	+0	1
6	Dunkerque	1	0	1	+0	1
7	Montpellier	1	0	1	+0	1
8	Rodez	1	0	1	+0	1

#	Team	K	U	T	+/−	P
1	Le Mans	1	1	0	+0	1
2	St Etienne	1	1	0	+0	1
3	Reims	1	1	0	+0	1
4	Clermont	1	1	0	+0	1
5	Red Star	1	1	0	+0	1
6	Nancy	1	1	0	+0	1
7	Grenoble	1	0	1	-1	0
8	Annecy	1	0	1	-2	0

Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.