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Ligue 2
Grenoble
S U U U T
1–1
Full-time
Clermont
S T S U S

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

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

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Team trends

Grenoble Clermont
Last 6 — all competitions · 6/6 matches
Win Ø 34%
17%
50%
Points per game
1,2
1,7
Over 2.5 Ø 17%
17%
17%
Both score Ø 33%
33%
33%
Average goals
1,0
1,5
Scored
0,5
0,8
Conceded
0,5
0,7
Goal diff per game
+0,0
+0,2
This season — Ligue 2 · 16/16 matches
Win Ø 35%
25%
44%
Points per game
1,3
1,6
Over 2.5 Ø 28%
25%
31%
Both score Ø 41%
44%
38%
Average goals
1,8
2,1
Scored
0,9
1,1
Conceded
0,9
1,0
Goal diff per game
+0,1
+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

12 Shots 12
3 Shots on target 3
4 Corners 9
12 Free kicks against 11
1 Yellow cards 3
0 Red cards 0
The table before the match Grenoble 11. · Clermont 7.
# Team K V U T +/− P
1 Lorient 16 10 3 3 +13 33
2 Lens 16 9 4 3 +10 31
3 Ajaccio 16 8 6 2 +9 30
4 Troyes 16 9 2 5 +3 29
5 Le Havre 16 6 7 3 +8 25
6 Sochaux 16 7 4 5 +6 25
7 Clermont 16 7 4 5 +1 25
8 Nancy 17 4 11 2 +3 23
9 Valenciennes 16 6 5 5 +0 23
10 Guingamp 16 5 6 5 +2 21
11 Grenoble 16 4 9 3 +1 21
12 Caen 17 4 8 5 -3 20
13 Auxerre 16 4 6 6 +1 18
14 Rodez 16 5 3 8 -2 18
15 Niort 16 4 5 7 -5 17
16 Chateauroux 16 4 5 7 -8 17
17 Chambly 16 4 4 8 -8 16
18 Paris FC 16 4 3 9 -11 15
19 Le Mans 16 4 2 10 -11 14
20 Orleans 16 1 7 8 -9 10

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
2,96
U ✓
2,82
B
2,66
Over/under goals
O1,5 ✓
O2,5
2,59
U2,5 ✓
1,48
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.