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Player stats 25/26

Borussia Dortmund v 1. FC Heidenheim

Your slip follows you between games.

How often each Borussia Dortmund and 1. FC Heidenheim 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 Borussia Dortmund v 1. FC Heidenheim: Julian Brandt (Borussia Dortmund) leads the home side for 1+ shots on target — 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.

Borussia Dortmund
Julian BrandtF 100%10 of 10 Pro 🔒
Serhou GuirassyF 100%10 of 10 Pro 🔒
Nico SchlotterbeckD 70%7 of 10 Pro 🔒
Maximilian BeierF 70%7 of 10 Pro 🔒
1. FC Heidenheim
Marvin PieringerF 80%8 of 10 Pro 🔒
Arijon IbrahimovićM 70%7 of 10 Pro 🔒
Patrick MainkaD 70%7 of 10 Pro 🔒
Stefan SchimmerF 70%7 of 10 Pro 🔒
Mikkel KaufmannF 70%7 of 10 Pro 🔒
Jan SchöppnerM 70%7 of 10 Pro 🔒
Julian NiehuesM 60%6 of 10 Pro 🔒

Borussia Dortmund
Serhou GuirassyF 80%8 of 10 Pro 🔒
Julian BrandtF 60%6 of 10 Pro 🔒
1. FC Heidenheim
Stefan SchimmerF 60%6 of 10 Pro 🔒
Marvin PieringerF 60%6 of 10 Pro 🔒

Borussia Dortmund
Julian BrandtF 70%7 of 10 Pro 🔒
1. FC Heidenheim
No 1. FC Heidenheim player in this window.

Borussia Dortmund
Serhou GuirassyF 80%8 of 10 Pro 🔒
Daniel SvenssonM 60%6 of 10 Pro 🔒
Waldemar AntonD 60%6 of 10 Pro 🔒
Nico SchlotterbeckD 60%6 of 10 Pro 🔒
1. FC Heidenheim
Marvin PieringerF 70%7 of 10 Pro 🔒
Mikkel KaufmannF 70%7 of 10 Pro 🔒
Tim SierslebenD 60%6 of 10 Pro 🔒

Borussia Dortmund
No Borussia Dortmund player in this window.
1. FC Heidenheim
Marvin PieringerF 70%7 of 10 Pro 🔒

Borussia Dortmund
Nico SchlotterbeckD 80%8 of 10 Pro 🔒
Serhou GuirassyF 70%7 of 10 Pro 🔒
Yan CoutoM 60%6 of 10 Pro 🔒
1. FC Heidenheim
Marvin PieringerF 100%10 of 10 Pro 🔒
Mikkel KaufmannF 70%7 of 10 Pro 🔒
Arijon IbrahimovićM 60%6 of 10 Pro 🔒
Omar Haktab TraoreM 60%6 of 10 Pro 🔒

Borussia Dortmund
Yan CoutoM 90%9 of 10 Pro 🔒
Nico SchlotterbeckD 90%9 of 10 Pro 🔒
Waldemar AntonD 80%8 of 10 Pro 🔒
Felix NmechaM 80%8 of 10 Pro 🔒
Maximilian BeierF 70%7 of 10 Pro 🔒
Daniel SvenssonM 60%6 of 10 Pro 🔒
1. FC Heidenheim
Niklas DorschM 90%9 of 10 Pro 🔒
Arijon IbrahimovićM 80%8 of 10 Pro 🔒
Tim SierslebenD 80%8 of 10 Pro 🔒
Mathias HonsakF 70%7 of 10 Pro 🔒
Eren DinkçiFform earned at SC Freiburg 60%6 of 10 Pro 🔒
Marnon BuschD 60%6 of 10 Pro 🔒
Patrick MainkaD 60%6 of 10 Pro 🔒
Marvin PieringerF 60%6 of 10 Pro 🔒

Borussia Dortmund
Nico SchlotterbeckD 90%9 of 10 Pro 🔒
Waldemar AntonD 60%6 of 10 Pro 🔒
Felix NmechaM 60%6 of 10 Pro 🔒
1. FC Heidenheim
Niklas DorschM 70%7 of 10 Pro 🔒

Borussia Dortmund
Julian BrandtF 40%4 of 10 Stats only
Maximilian BeierF 40%4 of 10 Stats only
Karim AdeyemiF 30%3 of 10 Stats only
Nico SchlotterbeckD 30%3 of 10 Stats only
1. FC Heidenheim
Stefan SchimmerF 30%3 of 10 Stats only

Borussia Dortmund
Fábio SilvaF 40%4 of 10 Stats only
1. FC Heidenheim
No 1. FC Heidenheim player in this window.

Borussia Dortmund
Gregor KobelG 80%8 of 10 Stats only
1. FC Heidenheim
Diant RamajG 60%6 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
Matthias Jollenbeck refereed this match 4.04cards a gameleague 4.07 54games
Matthias Jollenbeck'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.