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

Caen Grenoble
Last 6 — all competitions · 6/6 matches
Win Ø 59%
50%
67%
Points per game
1,7
2,2
Over 2.5 Ø 34%
50%
17%
Both score Ø 42%
67%
17%
Average goals
2,3
1,3
Scored
1,2
1,0
Conceded
1,2
0,3
Goal diff per game
+0,0
+0,7
This season — Ligue 2 · 13/12 matches
Win Ø 57%
46%
67%
Points per game
1,6
2,1
Over 2.5 Ø 32%
38%
25%
Both score Ø 28%
31%
25%
Average goals
1,8
2,1
Scored
0,9
1,4
Conceded
0,8
0,7
Goal diff per game
+0,1
+0,8
🔒 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: 0–1

6 Shots 8
2 Shots on target 2
4 Corners 1
22 Free kicks against 16
3 Yellow cards 5
0 Red cards 0
The table before the match Caen 6. · Grenoble 3.
# Team K V U T +/− P
1 Troyes 13 8 3 2 +11 27
2 Paris FC 14 8 3 3 +7 27
3 Grenoble 12 8 1 3 +9 25
4 Toulouse 13 6 4 3 +6 22
5 Auxerre 13 6 3 4 +7 21
6 Caen 13 6 3 4 +1 21
7 Clermont 13 5 5 3 +7 20
8 Niort 12 6 2 4 +1 20
9 Sochaux 13 4 6 3 +4 18
10 Valenciennes 13 4 5 4 +0 17
11 Dunkerque 13 5 2 6 -1 17
12 Le Havre 13 5 2 6 -6 17
13 Amiens 13 4 3 6 -1 15
14 Guingamp 13 3 5 5 -2 14
15 Pau FC 13 3 4 6 -3 13
16 Ajaccio 13 3 4 6 -9 13
17 Chateauroux 13 3 3 7 -5 12
18 Nancy 12 3 2 7 -5 11
19 Rodez 13 2 5 6 -10 11
20 Chambly 13 2 5 6 -11 11

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
2,64
U ✓
2,89
B
2,87
Over/under goals
O1,5 ✓
O2,5
2,50
U2,5 ✓
1,50
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.