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Player stats · 26/27

FC Bayern München v Borussia Dortmund

Your slip follows you between games.

How often each FC Bayern München and Borussia Dortmund 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 FC Bayern München v Borussia Dortmund on Sat 31 Oct: Nicolas Jackson (FC Bayern München) leads the home side for 1+ shots on target — 9 of 10 (90%); Serhou Guirassy (Borussia Dortmund) tops the visitors on 7 of 10 (70%). Raw hit rates from recent matches, not odds.

Not kicked off — players are a likely XI

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.

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 25/26 figures from completed matches: Last N is their last N games; Season is their whole 25/26; H2H is only games against this opponent.

1+ shots

FC Bayern München
Jamal MusialaM 100%10 of 10 Pro 🔒
Michael OliseM 100%10 of 10 Pro 🔒
Lennart KarlM 100%10 of 10 Pro 🔒
Luis DíazM 90%9 of 10 Pro 🔒
Harry KaneF 90%9 of 10 Pro 🔒
Serge GnabryF 90%9 of 10 Pro 🔒
Tom BischofD 70%7 of 10 Pro 🔒
Leon GoretzkaM 70%7 of 10 Pro 🔒
Joshua KimmichM 60%6 of 10 Pro 🔒
Borussia Dortmund

2+ shots

FC Bayern München
Jamal MusialaM 80%8 of 10 Pro 🔒
Michael OliseM 80%8 of 10 Pro 🔒
Serge GnabryF 80%8 of 10 Pro 🔒
Luis DíazM 70%7 of 10 Pro 🔒
Harry KaneF 70%7 of 10 Pro 🔒
Leon GoretzkaM 60%6 of 10 Pro 🔒
Borussia Dortmund

3+ shots

FC Bayern München
Jamal MusialaM 60%6 of 10 Pro 🔒
Harry KaneF 60%6 of 10 Pro 🔒
Michael OliseM 60%6 of 10 Pro 🔒
Borussia Dortmund
No Borussia Dortmund player in this window.

1+ shots on target

FC Bayern München
Harry KaneF 90%9 of 10 Pro 🔒
Michael OliseM 90%9 of 10 Pro 🔒
Lennart KarlM 60%6 of 10 Pro 🔒
Borussia Dortmund

1+ fouls committed

FC Bayern München
Hiroki ItōD 70%7 of 10 Pro 🔒
Konrad LaimerD 60%6 of 10 Pro 🔒
Luis DíazM 60%6 of 10 Pro 🔒
Harry KaneF 60%6 of 10 Pro 🔒
Borussia Dortmund

2+ fouls committed

FC Bayern München
No FC Bayern München player in this window.
Borussia Dortmund

1+ fouls won

FC Bayern München
Jamal MusialaM 80%8 of 10 Pro 🔒
Michael OliseM 70%7 of 10 Pro 🔒
Borussia Dortmund

2+ fouls won

FC Bayern München
Michael OliseM 70%7 of 10 Pro 🔒
Borussia Dortmund
No Borussia Dortmund player in this window.

1+ goals

FC Bayern München
Harry KaneF 70%7 of 10 Stats only
Nicolas JacksonF 50%5 of 10 Stats only
Michael OliseM 50%5 of 10 Stats only
Jamal MusialaM 30%3 of 10 Stats only
Serge GnabryF 30%3 of 10 Stats only
Raphaël GuerreiroD 30%3 of 10 Stats only
Borussia Dortmund
Serhou GuirassyF 60%6 of 10 Stats only
Ramy BensebainiD 30%3 of 10 Stats only

1+ assists

FC Bayern München
Konrad LaimerD 40%4 of 10 Stats only
Alphonso DaviesD 30%3 of 10 Stats only
Luis DíazM 30%3 of 10 Stats only
Leon GoretzkaM 30%3 of 10 Stats only
Michael OliseM 30%3 of 10 Stats only
Lennart KarlM 30%3 of 10 Stats only
Borussia Dortmund
Julian RyersonM 40%4 of 10 Stats only

🔒 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.