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Ligue 2
Paris FC
T U T U S
1–0
Full-time
Rodez
U T T 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

Paris FC Rodez
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,3
1,2
Over 2.5 Ø 33%
33%
33%
Both score Ø 42%
50%
33%
Average goals
2,5
2,0
Scored
1,2
1,2
Conceded
1,3
0,8
Goal diff per game
-0,2
+0,3
This season — Ligue 2 · 14/14 matches
Win Ø 40%
43%
36%
Points per game
1,5
1,4
Over 2.5 Ø 36%
36%
36%
Both score Ø 40%
43%
36%
Average goals
2,3
2,2
Scored
1,2
1,1
Conceded
1,1
1,1
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

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

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 ✓
1,96
U
3,16
B
4,13
Over/under goals
U1,5 ✓
O2,5
2,31
U2,5 ✓
1,59
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.