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Player stats 25/26

1. FC Heidenheim v FC Augsburg

Your slip follows you between games.

How often each 1. FC Heidenheim and FC Augsburg 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 FC Augsburg: Alexis Claude-Maurice (FC Augsburg) tops the visitors 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.

1. FC Heidenheim
No 1. FC Heidenheim player in this window.
FC Augsburg
Kristijan JakićM 90%9 of 10 Pro 🔒
Mert KömürM 80%8 of 10 Pro 🔒
Phillip TietzF 80%8 of 10 Pro 🔒
Samuel EssendeF 80%8 of 10 Pro 🔒
Robin FellhauerM 67%4 of 6 Pro 🔒
Fabian RiederM 60%6 of 10 Pro 🔒

1. FC Heidenheim
No 1. FC Heidenheim player in this window.
FC Augsburg
Samuel EssendeF 60%6 of 10 Pro 🔒

1. FC Heidenheim
No 1. FC Heidenheim player in this window.
FC Augsburg

1. FC Heidenheim
No 1. FC Heidenheim player in this window.
FC Augsburg

1. FC Heidenheim
Benedikt GimberD 70%7 of 10 Pro 🔒
Omar Haktab TraoreD 70%7 of 10 Pro 🔒
Luca KerberM 60%6 of 10 Pro 🔒
Niklas DorschM 60%6 of 10 Pro 🔒
Jan SchöppnerM 60%6 of 10 Pro 🔒
Tim SierslebenD 60%6 of 10 Pro 🔒
FC Augsburg
Robin FellhauerM 83%5 of 6 Pro 🔒
Mert KömürM 70%7 of 10 Pro 🔒
Han-Noah MassengoM 70%7 of 10 Pro 🔒
Fabian RiederM 70%7 of 10 Pro 🔒
Kristijan JakićM 60%6 of 10 Pro 🔒
Cedric ZesigerD 60%6 of 10 Pro 🔒
Keven SchlotterbeckD 60%6 of 10 Pro 🔒

1. FC Heidenheim
Mikkel KaufmannF 70%7 of 10 Pro 🔒
Benedikt GimberD 60%6 of 10 Pro 🔒
Adrian BeckM 60%6 of 10 Pro 🔒
Jan SchöppnerM 60%6 of 10 Pro 🔒
FC Augsburg
Robin FellhauerM 83%5 of 6 Pro 🔒
Han-Noah MassengoM 80%8 of 10 Pro 🔒
Mert KömürM 70%7 of 10 Pro 🔒
Elvis RexhbeçajM 70%7 of 10 Pro 🔒
Kristijan JakićM 60%6 of 10 Pro 🔒

1. FC Heidenheim
Benedikt GimberD 60%6 of 10 Pro 🔒
FC Augsburg
No FC Augsburg player in this window.

1. FC Heidenheim
Jan SchöppnerM 80%8 of 10 Pro 🔒
Patrick MainkaD 70%7 of 10 Pro 🔒
Benedikt GimberD 70%7 of 10 Pro 🔒
Marnon BuschD 60%6 of 10 Pro 🔒
Jonas FöhrenbachD 60%6 of 10 Pro 🔒
Niklas DorschM 60%6 of 10 Pro 🔒
Omar Haktab TraoreD 60%6 of 10 Pro 🔒
Tim SierslebenD 60%6 of 10 Pro 🔒
FC Augsburg
Robin FellhauerM 83%5 of 6 Pro 🔒
Han-Noah MassengoM 80%8 of 10 Pro 🔒
Kristijan JakićM 70%7 of 10 Pro 🔒
Cedric ZesigerD 70%7 of 10 Pro 🔒
Keven SchlotterbeckD 70%7 of 10 Pro 🔒
Chrislain MatsimaD 70%7 of 10 Pro 🔒
Noahkai BanksD 67%6 of 9 Pro 🔒
Fabian RiederM 60%6 of 10 Pro 🔒

1. FC Heidenheim
Jan SchöppnerM 60%6 of 10 Pro 🔒
FC Augsburg
Robin FellhauerM 83%5 of 6 Pro 🔒
Chrislain MatsimaD 60%6 of 10 Pro 🔒

1. FC Heidenheim
No 1. FC Heidenheim player in this window.
FC Augsburg
Samuel EssendeF 30%3 of 10 Stats only

1. FC Heidenheim
Diant RamajG 80%4 of 5 Stats only
FC Augsburg
Finn DahmenG 70%7 of 10 Stats only

1. FC Heidenheim
Diant RamajG 80%4 of 5 Stats only
FC Augsburg
No FC Augsburg player in this window.

1. FC Heidenheim
Diant RamajG 60%3 of 5 Stats only
FC Augsburg
No FC Augsburg 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+17% cards vs the league average
Tobias Welz refereed this match 4.75cards a gameleague 4.07 44games
Tobias Welz'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.