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Player stats 22/23

FC Bayern München v Hertha BSC

Your slip follows you between games.

How often each FC Bayern München and Hertha BSC 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 Hertha BSC: Kingsley Coman (FC Bayern München) leads the home side for 1+ shots on target — 7 of 10 (70%); Dodi Lukebakio (Hertha BSC) tops the visitors on 7 of 10 (70%). 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
Kingsley ComanM 90%9 of 10 Pro 🔒
Jamal MusialaM 80%8 of 10 Pro 🔒
Serge GnabryM 80%8 of 10 Pro 🔒
Matthijs de LigtD 80%8 of 10 Pro 🔒
Mathys TelF 70%7 of 10 Pro 🔒
Leon GoretzkaM 70%7 of 10 Pro 🔒
Sadio ManéF 70%7 of 10 Pro 🔒
Leroy SanéF 70%7 of 10 Pro 🔒
Thomas MüllerF 70%7 of 10 Pro 🔒
Hertha BSC
Dodi LukebakioF 90%9 of 10 Pro 🔒
Lucas TousartM 80%8 of 10 Pro 🔒
Chidera EjukeF 80%8 of 10 Pro 🔒
Jessic NgankamM 70%7 of 10 Pro 🔒
Filip UremovićD 60%6 of 10 Pro 🔒

FC Bayern München
Kingsley ComanM 70%7 of 10 Pro 🔒
Sadio ManéF 60%6 of 10 Pro 🔒
Hertha BSC
Dodi LukebakioF 60%6 of 10 Pro 🔒

FC Bayern München
Kingsley ComanM 70%7 of 10 Pro 🔒
Leroy SanéF 60%6 of 10 Pro 🔒
Hertha BSC
Dodi LukebakioF 70%7 of 10 Pro 🔒
Lucas TousartM 60%6 of 10 Pro 🔒

FC Bayern München
Serge GnabryM 80%8 of 10 Pro 🔒
Benjamin PavardD 70%7 of 10 Pro 🔒
Leon GoretzkaM 60%6 of 10 Pro 🔒
Noussair MazraouiD 60%6 of 10 Pro 🔒
Hertha BSC
Filip UremovićD 90%9 of 10 Pro 🔒
Jean-Paul BoëtiusM 80%8 of 10 Pro 🔒
Lucas TousartM 70%7 of 10 Pro 🔒
Wilfried KangaF 70%7 of 10 Pro 🔒
Agustín RogelD 70%7 of 10 Pro 🔒
Jonjoe KennyD 60%6 of 10 Pro 🔒
Jessic NgankamM 60%6 of 10 Pro 🔒

FC Bayern München
Joshua KimmichM 80%8 of 10 Pro 🔒
Jamal MusialaM 70%7 of 10 Pro 🔒
Matthijs de LigtD 70%7 of 10 Pro 🔒
João CanceloD 60%6 of 10 Pro 🔒
Kingsley ComanM 60%6 of 10 Pro 🔒
Hertha BSC
Dodi LukebakioF 90%9 of 10 Pro 🔒
Lucas TousartM 80%8 of 10 Pro 🔒
Jean-Paul BoëtiusM 70%7 of 10 Pro 🔒
Jessic NgankamM 60%6 of 10 Pro 🔒

FC Bayern München
No FC Bayern München player in this window.
Hertha BSC
Dodi LukebakioF 60%6 of 10 Pro 🔒

FC Bayern München
Leon GoretzkaM 100%10 of 10 Pro 🔒
Joshua KimmichM 100%10 of 10 Pro 🔒
Benjamin PavardD 90%9 of 10 Pro 🔒
João CanceloD 80%8 of 10 Pro 🔒
Serge GnabryM 80%8 of 10 Pro 🔒
Matthijs de LigtD 80%8 of 10 Pro 🔒
Josip StanišićD 70%7 of 10 Pro 🔒
Leroy SanéF 60%6 of 10 Pro 🔒
Thomas MüllerF 60%6 of 10 Pro 🔒
Noussair MazraouiD 60%6 of 10 Pro 🔒
Hertha BSC
Lucas TousartM 90%9 of 10 Pro 🔒
Jean-Paul BoëtiusM 80%8 of 10 Pro 🔒
Filip UremovićD 80%8 of 10 Pro 🔒
Marvin PlattenhardtD 70%7 of 10 Pro 🔒
Jonjoe KennyD 60%6 of 10 Pro 🔒

FC Bayern München
Serge GnabryM 60%6 of 10 Pro 🔒
Joshua KimmichM 60%6 of 10 Pro 🔒
Hertha BSC
Lucas TousartM 60%6 of 10 Pro 🔒

FC Bayern München
Kingsley ComanM 40%4 of 10 Stats only
Hertha BSC
Dodi LukebakioF 40%4 of 10 Stats only
Jessic NgankamM 40%4 of 10 Stats only

FC Bayern München
Jamal MusialaM 30%3 of 10 Stats only
João CanceloD 30%3 of 10 Stats only
Sadio ManéF 30%3 of 10 Stats only
Hertha BSC
No Hertha BSC 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-18% cards vs the league average
Patrick Ittrich refereed this match 3.34cards a gameleague 4.07 32games
Patrick Ittrich'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.