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SharpXI©
Player stats 25/26

1. FC Heidenheim v SV Werder Bremen

Your slip follows you between games.

How often each 1. FC Heidenheim and SV Werder Bremen 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 1. FC Heidenheim v SV Werder Bremen: Mathias Honsak (1. FC Heidenheim) leads the home side for 1+ shots — 9 of 10 (90%); Romano Schmid (SV Werder Bremen) tops the visitors on 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.

1. FC Heidenheim
Mathias HonsakF 90%9 of 10 Pro 🔒
Marvin PieringerF 80%8 of 10 Pro 🔒
Budu ZivzivadzeF 60%6 of 10 Pro 🔒
Mikkel KaufmannF 60%6 of 10 Pro 🔒
SV Werder Bremen
Romano SchmidF 90%9 of 10 Pro 🔒
Justin NjinmahF 80%8 of 10 Pro 🔒
Jens StageM 80%8 of 10 Pro 🔒
Cameron PuertasM 75%3 of 4 Pro 🔒
Yukinari SugawaraD 70%7 of 10 Pro 🔒

1. FC Heidenheim
No 1. FC Heidenheim player in this window.
SV Werder Bremen
Cameron PuertasM 75%3 of 4 Pro 🔒

1. FC Heidenheim
No 1. FC Heidenheim player in this window.
SV Werder Bremen
Cameron PuertasM 75%3 of 4 Pro 🔒

1. FC Heidenheim
Omar Haktab TraoreD 80%8 of 10 Pro 🔒
Budu ZivzivadzeF 70%7 of 10 Pro 🔒
Mikkel KaufmannF 60%6 of 10 Pro 🔒
Jan SchöppnerM 60%6 of 10 Pro 🔒
Tim SierslebenD 60%6 of 10 Pro 🔒
SV Werder Bremen
Romano SchmidF 70%7 of 10 Pro 🔒
Jens StageM 60%6 of 10 Pro 🔒
Amos PieperD 60%6 of 10 Pro 🔒

1. FC Heidenheim
Adrian BeckM 70%7 of 10 Pro 🔒
Mikkel KaufmannF 70%7 of 10 Pro 🔒
Niklas DorschM 60%6 of 10 Pro 🔒
Marvin PieringerF 60%6 of 10 Pro 🔒
Omar Haktab TraoreD 60%6 of 10 Pro 🔒
SV Werder Bremen
Jens StageM 80%8 of 10 Pro 🔒
Mio BackhausG 75%3 of 4 Pro 🔒
Cameron PuertasM 75%3 of 4 Pro 🔒
Samuel MbangulaF 60%6 of 10 Pro 🔒
Romano SchmidF 60%6 of 10 Pro 🔒

1. FC Heidenheim
Jan SchöppnerM 80%8 of 10 Pro 🔒
Patrick MainkaD 70%7 of 10 Pro 🔒
Jonas FöhrenbachD 70%7 of 10 Pro 🔒
Budu ZivzivadzeF 60%6 of 10 Pro 🔒
Marnon BuschD 60%6 of 10 Pro 🔒
Niklas DorschM 60%6 of 10 Pro 🔒
Tim SierslebenD 60%6 of 10 Pro 🔒
SV Werder Bremen
Marco FriedlD 100%10 of 10 Pro 🔒
Jens StageM 90%9 of 10 Pro 🔒
Amos PieperD 90%9 of 10 Pro 🔒
Cameron PuertasM 75%3 of 4 Pro 🔒
Romano SchmidF 70%7 of 10 Pro 🔒
Karim CoulibalyD 67%4 of 6 Pro 🔒
Marco GrüllF 60%6 of 10 Pro 🔒

1. FC Heidenheim
Jan SchöppnerM 60%6 of 10 Pro 🔒
SV Werder Bremen
Marco FriedlD 70%7 of 10 Pro 🔒

1. FC Heidenheim
Mathias HonsakF 30%3 of 10 Stats only
SV Werder Bremen
Romano SchmidF 30%3 of 10 Stats only
Jens StageM 30%3 of 10 Stats only

1. FC Heidenheim
Diant RamajG 71%5 of 7 Stats only
SV Werder Bremen
No SV Werder Bremen player in this window.

1. FC Heidenheim
Diant RamajG 71%5 of 7 Stats only
SV Werder Bremen
No SV Werder Bremen 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.