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Player stats 26/27

Auxerre v Olympique de Marseille

Your slip follows you between games.

How often each Auxerre and Olympique de Marseille player has hit the lines bookmakers price — 1+ shots on target, 2+ shots, 1+ fouls, a card — across their recent matches. How hit rates work ↓

Going into Auxerre v Olympique de Marseille on Sun 29 Nov: Danny Namaso (Auxerre) leads the home side for 1+ shots on target — 6 of 10 (60%); Igor Paixão (Olympique de Marseille) tops the visitors on 7 of 10 (70%). Raw hit rates from recent matches, not odds.

Predicted line-up — not the team sheet Our best guess at the shape, from recent selections. Team sheets usually land about an hour before kick-off.
What sits behind these numbers

Line-ups aren't confirmed, so the players shown are a likely XI from each club's recent selections — injuries and suspensions are filtered out where we know them. Hit rates are their recent form, not a forecast for this match. These players joined recently, and the games behind these rates were played elsewhere: Bamo Meïté (Lorient), Paul Nardi (Queens Park Rangers) — read as prior form, not this club's.

Window
Last
What a window counts

Hit rates count the most recent completed games, newest first — reaching back into earlier seasons when the current one is short, and into games for a previous club, including in another league we cover.

Market
Line
Team
How hit rates and windows work

Each row's hit rate is the share of a player's games in the window where the bet would have landed. These are 26/27 figures from completed matches: Last N is their last N games; Season is their whole 26/27; H2H is only games against this opponent.

Auxerre
Danny NamasoF 90%9 of 10 Pro 🔒
Remy Labeau LascaryF 70%7 of 10 Pro 🔒
Cameron ArcherF 70%7 of 10 Pro 🔒
Lamfia DioubatéM 67%2 of 3 Pro 🔒
Kévin DanoisM 60%6 of 10 Pro 🔒
Romain FaivreM 60%6 of 10 Pro 🔒
Sinaly DiomandéD 60%6 of 10 Pro 🔒
Olympique de Marseille
Timothy WeahD 80%8 of 10 Pro 🔒
Amine GouiriF 80%8 of 10 Pro 🔒
Igor PaixãoM 80%8 of 10 Pro 🔒
Neal MaupayF 70%7 of 10 Pro 🔒
Angel GomesM 70%7 of 10 Pro 🔒
EmersonD 60%6 of 10 Pro 🔒

Auxerre
Danny NamasoF 60%6 of 10 Pro 🔒
Olympique de Marseille
Igor PaixãoM 60%6 of 10 Pro 🔒

Auxerre
Danny NamasoF 60%6 of 10 Pro 🔒
Cameron ArcherF 60%6 of 10 Pro 🔒
Olympique de Marseille
Igor PaixãoM 70%7 of 10 Pro 🔒

Auxerre
Sinaly DiomandéD 100%10 of 10 Pro 🔒
Rayan MandengueD 100%4 of 4 Pro 🔒
Kévin DanoisM 80%8 of 10 Pro 🔒
Lamine SyD 80%8 of 10 Pro 🔒
Danny NamasoF 80%8 of 10 Pro 🔒
Telli SiweD 75%3 of 4 Pro 🔒
Marvin SenayaD 70%7 of 10 Pro 🔒
Remy Labeau LascaryF 70%7 of 10 Pro 🔒
Aristide ZossouM 67%4 of 6 Pro 🔒
Bryan OkohD 60%6 of 10 Pro 🔒
Arthur PiedfortM 60%3 of 5 Pro 🔒
Olympique de Marseille
Timothy WeahD 70%7 of 10 Pro 🔒
Angel GomesM 70%7 of 10 Pro 🔒
Geoffrey KondogbiaD 70%7 of 10 Pro 🔒
Igor PaixãoM 70%7 of 10 Pro 🔒
Bamo MeïtéDform earned at Lorient 60%6 of 10 Pro 🔒
Ulisses GarciaD 60%6 of 10 Pro 🔒
Nayef AguerdD 60%6 of 10 Pro 🔒

Auxerre
Kévin DanoisM 60%6 of 10 Pro 🔒
Lamine SyD 60%6 of 10 Pro 🔒
Olympique de Marseille
No Olympique de Marseille player in this window.

Auxerre
Sinaly DiomandéD 80%8 of 10 Pro 🔒
Kévin DanoisM 70%7 of 10 Pro 🔒
Remy Labeau LascaryF 60%6 of 10 Pro 🔒
Olympique de Marseille
Amine HaritM 70%7 of 10 Pro 🔒
Igor PaixãoM 70%7 of 10 Pro 🔒
EmersonD 60%6 of 10 Pro 🔒

Auxerre
Kévin DanoisM 90%9 of 10 Pro 🔒
Danny NamasoF 90%9 of 10 Pro 🔒
Sinaly DiomandéD 90%9 of 10 Pro 🔒
Arthur PiedfortM 80%4 of 5 Pro 🔒
Telli SiweD 75%3 of 4 Pro 🔒
Marvin SenayaD 70%7 of 10 Pro 🔒
Lamine SyD 70%7 of 10 Pro 🔒
Axel TuanzebeD 70%7 of 10 Pro 🔒
Elikya LegrosD 67%2 of 3 Pro 🔒
Christ MakossoD 60%6 of 10 Pro 🔒
Bryan OkohD 60%6 of 10 Pro 🔒
Olympique de Marseille
EmersonD 80%8 of 10 Pro 🔒
Timothy WeahD 80%8 of 10 Pro 🔒
Geoffrey KondogbiaD 70%7 of 10 Pro 🔒
Bamo MeïtéDform earned at Lorient 60%6 of 10 Pro 🔒
Ulisses GarciaD 60%6 of 10 Pro 🔒
Amine HaritM 60%6 of 10 Pro 🔒

Auxerre
Kévin DanoisM 80%8 of 10 Pro 🔒
Telli SiweD 75%3 of 4 Pro 🔒
Olympique de Marseille
EmersonD 60%6 of 10 Pro 🔒
Timothy WeahD 60%6 of 10 Pro 🔒
Geoffrey KondogbiaD 60%6 of 10 Pro 🔒

Auxerre
Kévin DanoisM 70%7 of 10 Pro 🔒
Olympique de Marseille
No Olympique de Marseille player in this window.

Auxerre
Cameron ArcherF 50%5 of 10 Stats only
Olympique de Marseille
Amine GouiriF 30%3 of 10 Stats only

Auxerre
Cameron ArcherF 30%3 of 10 Stats only
Olympique de Marseille
No Olympique de Marseille player in this window.

Auxerre
Mamadou DiopG 80%4 of 5 Stats only
Paul NardiGform earned at Queens Park Rangers 60%6 of 10 Stats only
Olympique de Marseille
Jeffrey De LangeG 60%6 of 10 Stats only

Auxerre
Mamadou DiopG 60%3 of 5 Stats only
Olympique de Marseille
No Olympique de Marseille player in this window.

🔒 Model is the paid layer — the model's +EV verdict on each line, per fixture in the tool. The hit rates here are free.

Tick players above to build your own slip — it follows you across games, and you can share it from the tray below.

New to these markets? The player stats guide explains what each line means and how to read a hit rate, and the glossary defines the terms.

Match officials

Not appointed yet — referees are usually confirmed two to three days before kick-off. See the referee panel

Form is only half the picture. A player hitting a line 5 of 5 can still be poor value if the true chance is lower than the streak suggests. The SharpXI tool pairs every one of these with the model's real probability — and flags the runs it doesn't back, so you're not chasing a streak about to regress. That honest verdict is the layer we're building into the tool.

Hit rates are raw recent form from public match data, for context — not a prediction or a guarantee. 18+ — please gamble responsibly.