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Ligue 2
Caen
T U U T U
0–1
Full-time
Paris FC
U T U 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 Paris FC
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
1,0
1,3
Over 2.5 Ø 42%
50%
33%
Both score Ø 59%
67%
50%
Average goals
2,5
2,3
Scored
1,2
1,0
Conceded
1,3
1,3
Goal diff per game
-0,2
-0,3
This season — Ligue 2 · 15/15 matches
Win Ø 37%
27%
47%
Points per game
1,1
1,6
Over 2.5 Ø 37%
40%
33%
Both score Ø 44%
47%
40%
Average goals
2,1
2,2
Scored
1,1
1,2
Conceded
1,1
1,0
Goal diff per game
+0,0
+0,2
🔒 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

9 Shots 11
2 Shots on target 4
6 Corners 2
15 Free kicks against 14
2 Yellow cards 2
0 Red cards 0
The table before the match Caen 12. · Paris FC 6.
# Team K V U T +/− P
1 Toulouse 16 9 6 1 +22 33
2 Auxerre 15 8 5 2 +10 29
3 Ajaccio 15 8 4 3 +9 28
4 Sochaux 16 8 4 4 +3 28
5 Le Havre 15 6 7 2 +6 25
6 Paris FC 15 7 3 5 +3 24
7 Niort 15 6 3 6 +0 21
8 Pau FC 15 6 3 6 -1 21
9 Grenoble 15 6 3 6 -3 21
10 Rodez 15 5 4 6 +0 19
11 Guingamp 15 4 6 5 -2 18
12 Caen 15 4 5 6 +0 17
13 Nimes 15 4 5 6 -2 17
14 Quevilly Rouen 15 4 5 6 -6 17
15 Dunkerque 15 4 4 7 -4 16
16 Dijon 15 5 1 9 -7 16
17 Valenciennes 15 4 4 7 -10 16
18 Bastia 15 3 6 6 -4 15
19 Amiens 15 2 8 5 -2 14
20 Nancy 15 2 6 7 -12 12

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
2,69
U
3,02
B ✓
2,76
Over/under goals
U1,5 ✓
O2,5
2,29
U2,5 ✓
1,60
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.