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Ligue 2
Auxerre
S S U S U
2–2
Full-time
Nimes
U T U 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

Auxerre Nimes
Last 6 — all competitions · 6/6 matches
Win Ø 34%
50%
17%
Points per game
1,8
0,8
Over 2.5 Ø 42%
50%
33%
Both score Ø 33%
33%
33%
Average goals
2,2
2,3
Scored
1,7
1,0
Conceded
0,5
1,3
Goal diff per game
+1,2
-0,3
This season — Ligue 2 · 10/10 matches
Win Ø 40%
50%
30%
Points per game
1,9
1,3
Over 2.5 Ø 45%
50%
40%
Both score Ø 40%
40%
40%
Average goals
2,1
2,2
Scored
1,6
1,2
Conceded
0,5
1,0
Goal diff per game
+1,1
+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: 1–0

10 Shots 11
3 Shots on target 5
1 Corners 3
19 Free kicks against 10
2 Yellow cards 3
0 Red cards 0
The table before the match Auxerre 3. · Nimes 10.
# Team K V U T +/− P
1 Toulouse 10 7 2 1 +13 23
2 Sochaux 10 6 2 2 +5 20
3 Auxerre 10 5 4 1 +11 19
4 Ajaccio 10 5 4 1 +6 19
5 Le Havre 10 4 5 1 +4 17
6 Paris FC 10 5 1 4 +2 16
7 Pau FC 10 4 3 3 +3 15
8 Niort 10 4 3 3 +1 15
9 Caen 10 4 2 4 +2 14
10 Nimes 10 3 4 3 +2 13
11 Rodez 10 3 4 3 -2 13
12 Quevilly Rouen 10 3 3 4 -1 12
13 Valenciennes 10 3 3 4 -5 12
14 Guingamp 10 2 5 3 -3 11
15 Grenoble 10 3 2 5 -6 11
16 Bastia 10 2 4 4 -2 10
17 Dijon 10 3 1 6 -5 10
18 Amiens 10 1 5 4 -4 8
19 Dunkerque 10 1 3 6 -8 6
20 Nancy 10 0 4 6 -13 4

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 ✓
3,42
B
4,25
Over/under goals
O1,5 ✓
O2,5 ✓
2,14
U2,5
1,69
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.