Updated daily through the season. Spot something off? Tell usUpdated daily. Tell us
SharpXI©
Player stats 26/27

FC Bayern München v 1. FC Union Berlin

Your slip follows you between games.

How often each FC Bayern München and 1. FC Union Berlin 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 1. FC Union Berlin: Michael Olise (FC Bayern München) leads the home side for 1+ shots on target — 9 of 10 (90%). Raw hit rates from recent matches, not odds.

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.

FC Bayern München
Jamal MusialaM 100%10 of 10 Pro 🔒
Michael OliseF 100%10 of 10 Pro 🔒
Ismael SaibariM 100%3 of 3 Pro 🔒
Harry KaneF 90%9 of 10 Pro 🔒
Serge GnabryF 90%9 of 10 Pro 🔒
Luis DíazF 90%9 of 10 Pro 🔒
Tom BischofM 70%7 of 10 Pro 🔒
Joshua KimmichM 60%6 of 10 Pro 🔒
1. FC Union Berlin
Emmanuel Latte LathF 80%8 of 10 Pro 🔒
Derrick KöhnD 80%8 of 10 Pro 🔒
Woo-Yeong JeongM 80%8 of 10 Pro 🔒
Tom Alexander RotheD 70%7 of 10 Pro 🔒
Michel AebischerM 70%7 of 10 Pro 🔒
Leopold QuerfeldD 60%6 of 10 Pro 🔒
András SchäferF 60%6 of 10 Pro 🔒

FC Bayern München
Jamal MusialaM 80%8 of 10 Pro 🔒
Serge GnabryF 80%8 of 10 Pro 🔒
Harry KaneF 70%7 of 10 Pro 🔒
Luis DíazF 70%7 of 10 Pro 🔒
Michael OliseF 70%7 of 10 Pro 🔒
1. FC Union Berlin
No 1. FC Union Berlin player in this window.

FC Bayern München
Michael OliseF 60%6 of 10 Pro 🔒
1. FC Union Berlin
No 1. FC Union Berlin player in this window.

FC Bayern München
Michael OliseF 90%9 of 10 Pro 🔒
Harry KaneF 80%8 of 10 Pro 🔒
Luis DíazF 60%6 of 10 Pro 🔒
1. FC Union Berlin
No 1. FC Union Berlin player in this window.

FC Bayern München
Luis DíazF 70%7 of 10 Pro 🔒
Ismael SaibariM 67%2 of 3 Pro 🔒
1. FC Union Berlin
Rani KhediraM 90%9 of 10 Pro 🔒
Michel AebischerM 80%8 of 10 Pro 🔒
Leopold QuerfeldD 70%7 of 10 Pro 🔒
Felix UduokhaiD 70%7 of 10 Pro 🔒
Derrick KöhnD 70%7 of 10 Pro 🔒
Emmanuel Latte LathF 60%6 of 10 Pro 🔒
Woo-Yeong JeongM 60%6 of 10 Pro 🔒

FC Bayern München
Nathaniel BrownD 70%7 of 10 Pro 🔒
Michael OliseF 70%7 of 10 Pro 🔒
Ismael SaibariM 67%2 of 3 Pro 🔒
Jamal MusialaM 60%6 of 10 Pro 🔒
Joshua KimmichM 60%6 of 10 Pro 🔒
Luis DíazF 60%6 of 10 Pro 🔒
1. FC Union Berlin
Livan BurcuF 70%7 of 10 Pro 🔒

FC Bayern München
Dayot UpamecanoD 90%9 of 10 Pro 🔒
Nathaniel BrownD 80%8 of 10 Pro 🔒
Joshua KimmichM 70%7 of 10 Pro 🔒
Tom BischofM 60%6 of 10 Pro 🔒
Kim Min-jaeD 60%6 of 10 Pro 🔒
1. FC Union Berlin
Michel AebischerM 90%9 of 10 Pro 🔒
Leopold QuerfeldD 80%8 of 10 Pro 🔒
Rani KhediraM 80%8 of 10 Pro 🔒
Aljoscha KemleinM 70%7 of 10 Pro 🔒
Tom Alexander RotheD 70%7 of 10 Pro 🔒
Janik HabererF 70%7 of 10 Pro 🔒
Christopher TrimmelD 60%6 of 10 Pro 🔒
András SchäferF 60%6 of 10 Pro 🔒
Derrick KöhnD 60%6 of 10 Pro 🔒

FC Bayern München
Nathaniel BrownD 80%8 of 10 Pro 🔒
Dayot UpamecanoD 80%8 of 10 Pro 🔒
1. FC Union Berlin
No 1. FC Union Berlin player in this window.

FC Bayern München
Harry KaneF 50%5 of 10 Stats only
Michael OliseF 50%5 of 10 Stats only
Jamal MusialaM 30%3 of 10 Stats only
Serge GnabryF 30%3 of 10 Stats only
1. FC Union Berlin
Emmanuel Latte LathF 30%3 of 10 Stats only

FC Bayern München
Ismael SaibariM 33%1 of 3 Stats only
Alphonso DaviesD 30%3 of 10 Stats only
1. FC Union Berlin
No 1. FC Union Berlin 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
Benjamin Brand refereed this match 4.36cards a gameleague 4.07 55games
Benjamin Brand's card record

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.