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Ligue 2
Clermont
S T S U U
2–0
Full-time
Nancy
U S S T T

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 Nancy
Last 6 — all competitions · 6/6 matches
Win Ø 42%
50%
33%
Points per game
1,8
1,2
Over 2.5 Ø 50%
50%
50%
Both score Ø 50%
33%
67%
Average goals
2,3
2,2
Scored
1,7
1,0
Conceded
0,7
1,2
Goal diff per game
+1,0
-0,2
This season — Ligue 2 · 11/10 matches
Win Ø 33%
36%
30%
Points per game
1,5
1,1
Over 2.5 Ø 34%
27%
40%
Both score Ø 43%
36%
50%
Average goals
1,8
2,1
Scored
1,2
1,0
Conceded
0,6
1,1
Goal diff per game
+0,5
-0,1
🔒 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: 1–0

13 Shots 2
4 Shots on target 1
3 Corners 2
10 Free kicks against 15
0 Yellow cards 0
0 Red cards 0
The table before the match Clermont 7. · Nancy 15.
# Team K V U T +/− P
1 Paris FC 12 8 2 2 +8 26
2 Grenoble 11 7 1 3 +8 22
3 Caen 11 6 2 3 +2 20
4 Auxerre 11 6 1 4 +7 19
5 Toulouse 12 5 4 3 +4 19
6 Troyes 10 5 3 2 +8 18
7 Clermont 11 4 5 2 +6 17
8 Niort 11 5 2 4 +0 17
9 Dunkerque 11 5 1 5 +0 16
10 Le Havre 11 5 1 5 -2 16
11 Valenciennes 11 4 3 4 +0 15
12 Sochaux 11 3 5 3 +0 14
13 Guingamp 11 3 4 4 -1 13
14 Amiens 11 3 3 5 -1 12
15 Nancy 10 3 2 5 -1 11
16 Chateauroux 11 3 2 6 -4 11
17 Ajaccio 11 3 2 6 -9 11
18 Rodez 11 2 4 5 -9 10
19 Pau FC 11 2 3 6 -4 9
20 Chambly 11 1 4 6 -12 7

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.

Odds comparison

Green columns are the outcomes that came in.

1X2
H ✓
1,73
U
3,43
B
4,93
Over/under goals
O1,5 ✓
O2,5
2,20
U2,5 ✓
1,64
U3,5 ✓
Both teams to score
BLS ja
BLS nei ✓

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.