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Ligue 2
Caen
S S U T U
0–0
Full-time
Troyes
S U S 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

Caen Troyes
Last 6 — all competitions · 6/6 matches
Win Ø 50%
33%
67%
Points per game
1,3
2,3
Over 2.5 Ø 67%
50%
83%
Both score Ø 83%
83%
83%
Average goals
2,5
3,2
Scored
1,2
2,2
Conceded
1,3
1,0
Goal diff per game
-0,2
+1,2
This season — Ligue 2 · 14/13 matches
Win Ø 53%
43%
62%
Points per game
1,6
2,1
Over 2.5 Ø 45%
36%
54%
Both score Ø 45%
36%
54%
Average goals
1,8
2,4
Scored
0,9
1,6
Conceded
0,9
0,8
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: 0–0

7 Shots 16
3 Shots on target 3
3 Corners 10
13 Free kicks against 15
1 Yellow cards 2
0 Red cards 0
The table before the match Caen 7. · Troyes 1.
# 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 13 8 2 3 +9 26
4 Auxerre 14 7 3 4 +13 24
5 Clermont 14 6 5 3 +10 23
6 Toulouse 14 6 5 3 +6 23
7 Caen 14 6 4 4 +1 22
8 Valenciennes 14 5 5 4 +1 20
9 Dunkerque 14 6 2 6 +1 20
10 Niort 13 6 2 5 -5 20
11 Sochaux 14 4 7 3 +4 19
12 Amiens 14 5 3 6 +0 18
13 Le Havre 14 5 3 6 -6 18
14 Guingamp 14 3 6 5 -2 15
15 Ajaccio 14 3 5 6 -9 14
16 Pau FC 14 3 4 7 -6 13
17 Nancy 13 3 3 7 -5 12
18 Chateauroux 14 3 3 8 -7 12
19 Rodez 14 2 5 7 -11 11
20 Chambly 14 2 5 7 -12 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
3,12
U ✓
2,97
B
2,41
Over/under goals
U1,5 ✓
O2,5
2,45
U2,5 ✓
1,53
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.