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Ligue 2
Pau FC
T U S S S
1–1
Full-time
Valenciennes
T S T T T

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

Pau FC Valenciennes
Last 6 — all competitions · 6/6 matches
Win Ø 34%
50%
17%
Points per game
1,7
0,7
Over 2.5 Ø 34%
17%
50%
Both score Ø 34%
17%
50%
Average goals
1,5
2,5
Scored
1,0
0,7
Conceded
0,5
1,8
Goal diff per game
+0,5
-1,2
This season — Ligue 2 · 7/7 matches
Win Ø 36%
57%
14%
Points per game
1,9
0,7
Over 2.5 Ø 36%
29%
43%
Both score Ø 36%
29%
43%
Average goals
1,7
2,1
Scored
1,1
0,6
Conceded
0,6
1,6
Goal diff per game
+0,6
-1,0
🔒 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: 1–1

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

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
2,05
U ✓
3,21
B
3,77
Over/under goals
O1,5 ✓
O2,5
2,10
U2,5 ✓
1,72
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.