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Ligue 2
Auxerre
U T T U T
2–2
Full-time
Orleans
U U 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

Auxerre Orleans
Last 6 — all competitions · 6/6 matches
Win Ø 9%
17%
0%
Points per game
0,8
0,3
Over 2.5 Ø 17%
0%
33%
Both score Ø 34%
17%
50%
Average goals
1,3
2,0
Scored
0,5
0,5
Conceded
0,8
1,5
Goal diff per game
-0,3
-1,0
This season — Ligue 2 · 15/15 matches
Win Ø 17%
27%
7%
Points per game
1,1
0,6
Over 2.5 Ø 33%
33%
33%
Both score Ø 44%
47%
40%
Average goals
2,3
1,9
Scored
1,2
0,7
Conceded
1,1
1,3
Goal diff per game
+0,1
-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: 1–1

13 Shots 9
3 Shots on target 3
4 Corners 1
9 Free kicks against 20
1 Yellow cards 3
0 Red cards 0
The table before the match Auxerre 13. · Orleans 20.
# Team K V U T +/− P
1 Lens 15 9 4 2 +12 31
2 Lorient 15 9 3 3 +12 30
3 Ajaccio 15 7 6 2 +7 27
4 Troyes 15 8 2 5 +2 26
5 Sochaux 15 7 4 4 +7 25
6 Le Havre 15 5 7 3 +7 22
7 Clermont 15 6 4 5 +0 22
8 Grenoble 15 4 9 2 +2 21
9 Guingamp 15 5 5 5 +2 20
10 Nancy 15 3 11 1 +2 20
11 Valenciennes 15 5 5 5 -2 20
12 Rodez 15 5 3 7 -1 18
13 Auxerre 15 4 5 6 +1 17
14 Niort 15 4 5 6 -4 17
15 Caen 15 3 7 5 -4 16
16 Chambly 15 4 4 7 -6 16
17 Paris FC 15 4 3 8 -9 15
18 Chateauroux 15 3 5 7 -9 14
19 Le Mans 15 4 2 9 -10 14
20 Orleans 15 1 6 8 -9 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
1,97
U ✓
3,16
B
4,10
Over/under goals
O1,5 ✓
O2,5 ✓
2,17
U2,5
1,67
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.