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Coupe de France
1–1
Full-time

Retrospective analysis — the model is trained only on matches played before this one.

⚠️ One of the teams has played few league matches recently (e.g. newly promoted). The analysis is therefore more uncertain than usual, and we give no recommendations for this match.
🔒 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

Andrézieux Hauts Lyonnais
Last 6 — all competitions · 1/5 matches
Win Ø 30%
0%
60%
Points per game
0,0
2,0
Over 2.5 Ø 20%
0%
40%
Both score Ø 10%
0%
20%
Average goals
2,0
2,0
Scored
0,0
1,2
Conceded
2,0
0,8
Goal diff per game
-2,0
+0,4
🔒 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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The table before the match ▾
# Team K V U T +/− P
1 Bastia 1 1 0 0 +6 3
2 Troyes 1 1 0 0 +3 3
3 Grenoble 1 1 0 0 +3 3
4 Mulhouse 1 1 0 0 +3 3
5 Amiens 1 1 0 0 +3 3
6 Rodez 1 1 0 0 +2 3
7 Annecy 1 1 0 0 +1 3
8 Le Puy Foot 1 1 0 0 +1 3
9 Reims 1 1 0 0 +1 3
10 Pontarlier 1 0 1 0 +0 1
11 Sochaux 1 0 1 0 +0 1
12 Avranches 1 0 1 0 +0 1
13 Gobelins 1 0 1 0 +0 1
14 Cannes 1 0 0 1 -1 0
15 ASPTT Dijon 1 0 0 1 -1 0
16 OCPAM 1 0 0 1 -1 0
17 Lavaur 1 0 0 1 -2 0
18 France Aizenay 1 0 0 1 -3 0
19 Olympique de Villefontaine 1 0 0 1 -3 0
20 Magenta 1 0 0 1 -3 0
21 Auby 1 0 0 1 -3 0
22 US Chateau-Malo 1 0 0 1 -6 0

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.

Match report

Andrézieux Hauts Lyonnais
Half-time 1–0
1–0 F. Ley ⚽
72′
76′
⚽ A. Moke Njedi 1–1
Full-time 1–1

Line-ups

Andrézieux

Coach: X. Collin

Hauts Lyonnais

Coach: J. Berthod

Odds comparison

Green columns are the outcomes that came in.

Over/under goals
O1,5 ✓
–
U2,5 ✓
–
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.