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Ligue 2
Auxerre
U U T S S
4–1
Full-time
Pau FC
T 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

Auxerre Pau FC
Last 6 — all competitions · 6/6 matches
Win Ø 42%
50%
33%
Points per game
1,8
1,2
Over 2.5 Ø 42%
50%
33%
Both score Ø 33%
33%
33%
Average goals
2,5
2,0
Scored
1,0
0,8
Conceded
1,5
1,2
Goal diff per game
-0,5
-0,3
This season — Ligue 2 · 14/14 matches
Win Ø 47%
50%
43%
Points per game
1,9
1,5
Over 2.5 Ø 43%
57%
29%
Both score Ø 40%
43%
36%
Average goals
2,5
1,9
Scored
1,5
1,0
Conceded
1,0
0,9
Goal diff per game
+0,5
+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

16 Shots 6
7 Shots on target 5
5 Corners 1
17 Free kicks against 8
2 Yellow cards 1
0 Red cards 1
The table before the match Auxerre 3. · Pau FC 8.
# Team K V U T +/− P
1 Toulouse 14 8 5 1 +19 29
2 Sochaux 14 8 4 2 +7 28
3 Auxerre 14 7 5 2 +7 26
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 14 6 3 5 +2 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 Caen 14 4 4 6 +0 16
13 Dunkerque 14 4 4 6 -3 16
14 Dijon 14 5 1 8 -6 16
15 Quevilly Rouen 14 4 4 6 -6 16
16 Valenciennes 14 4 3 7 -10 15
17 Nimes 14 3 5 6 -3 14
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 ✓
1,86
U
3,41
B
4,29
Over/under goals
O1,5 ✓
O2,5 ✓
2,09
U2,5
1,72
O3,5 ✓
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.