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Ligue 2
Pau FC
U T S T S
0–2
Full-time
Grenoble
S T S T 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

Pau FC Grenoble
Last 6 — all competitions · 6/6 matches
Win Ø 50%
33%
67%
Points per game
1,3
2,0
Over 2.5 Ø 33%
33%
33%
Both score Ø 33%
33%
33%
Average goals
2,0
2,0
Scored
1,3
1,3
Conceded
0,7
0,7
Goal diff per game
+0,7
+0,7
This season — Ligue 2 · 10/8 matches
Win Ø 42%
20%
63%
Points per game
0,9
1,9
Over 2.5 Ø 34%
30%
38%
Both score Ø 34%
30%
38%
Average goals
2,0
2,6
Scored
0,9
1,6
Conceded
1,1
1,0
Goal diff per game
-0,2
+0,6
🔒 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: 0–2

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

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
2,95
U
2,75
B ✓
2,70
Over/under goals
O1,5 ✓
O2,5
2,48
U2,5 ✓
1,51
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.