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Player stats · 26/27

SV Werder Bremen v FC Bayern München

Your slip follows you between games.

How often each SV Werder Bremen and FC Bayern München 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 SV Werder Bremen v FC Bayern München on Sat 24 Apr: Nicolas Jackson (FC Bayern München) tops the visitors for 1+ shots on target — 9 of 10 (90%). 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

SV Werder Bremen
FC Bayern München
Jamal MusialaM 100%10 of 10 Pro 🔒
Lennart KarlM 100%10 of 10 Pro 🔒
Michael OliseM 100%10 of 10 Pro 🔒
Serge GnabryF 90%9 of 10 Pro 🔒
Luis DíazM 90%9 of 10 Pro 🔒
Harry KaneF 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 🔒

2+ shots

SV Werder Bremen
Jens StageM 90%9 of 10 Pro 🔒
Justin NjinmahM 60%6 of 10 Pro 🔒
Romano SchmidM 60%6 of 10 Pro 🔒
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 🔒

3+ shots

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

1+ shots on target

SV Werder Bremen
No SV Werder Bremen player in this window.
FC Bayern München
Michael OliseM 90%9 of 10 Pro 🔒
Harry KaneF 90%9 of 10 Pro 🔒
Lennart KarlM 60%6 of 10 Pro 🔒

1+ fouls committed

SV Werder Bremen
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 🔒

1+ fouls won

SV Werder Bremen
Felix AguM 80%8 of 10 Pro 🔒
Justin NjinmahM 60%6 of 10 Pro 🔒
FC Bayern München
Jamal MusialaM 80%8 of 10 Pro 🔒
Michael OliseM 70%7 of 10 Pro 🔒

2+ fouls won

SV Werder Bremen
No SV Werder Bremen player in this window.
FC Bayern München
Michael OliseM 70%7 of 10 Pro 🔒

1+ goals

SV Werder Bremen
Jens StageM 30%3 of 10 Stats only
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
Raphaël GuerreiroD 30%3 of 10 Stats only
Serge GnabryF 30%3 of 10 Stats only

1+ assists

SV Werder Bremen
No SV Werder Bremen player in this window.
FC Bayern München
Konrad LaimerD 40%4 of 10 Stats only
Lennart KarlM 30%3 of 10 Stats only
Michael OliseM 30%3 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

🔒 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.