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Holstein Kiel v 1. FC Heidenheim

Your slip follows you between games.

How often each Holstein Kiel 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 Holstein Kiel v 1. FC Heidenheim: Benedikt Pichler (Holstein Kiel) leads the home side for 1+ shots on target — 5 of 8 (62%); Leo Scienza (1. FC Heidenheim) tops the visitors on 6 of 7 (86%). 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.

Holstein Kiel
Benedikt PichlerF 100%8 of 8 Pro 🔒
Armin GigovićM 86%6 of 7 Pro 🔒
Timo BeckerM 62%5 of 8 Pro 🔒
1. FC Heidenheim
Leo ScienzaF 100%7 of 7 Pro 🔒
Marvin PieringerF 90%9 of 10 Pro 🔒
Jan SchöppnerM 70%7 of 10 Pro 🔒
Paul WannerF 60%6 of 10 Pro 🔒
Mathias HonsakM 60%6 of 10 Pro 🔒
Mikkel KaufmannF 60%6 of 10 Pro 🔒

Holstein Kiel
Benedikt PichlerF 62%5 of 8 Pro 🔒
1. FC Heidenheim
Leo ScienzaF 71%5 of 7 Pro 🔒
Marvin PieringerF 60%6 of 10 Pro 🔒

Holstein Kiel
Benedikt PichlerF 62%5 of 8 Pro 🔒
1. FC Heidenheim
Leo ScienzaF 86%6 of 7 Pro 🔒

Holstein Kiel
Magnus KnudsenM 88%7 of 8 Pro 🔒
Finn PorathM 75%6 of 8 Pro 🔒
Max GeschwillD 67%4 of 6 Pro 🔒
Nicolai RembergM 62%5 of 8 Pro 🔒
Benedikt PichlerF 62%5 of 8 Pro 🔒
Steven SkrzybskiF 60%3 of 5 Pro 🔒
1. FC Heidenheim
Benedikt GimberD 80%8 of 10 Pro 🔒
Paul WannerF 70%7 of 10 Pro 🔒
Marvin PieringerF 70%7 of 10 Pro 🔒
Omar Haktab TraoreM 70%7 of 10 Pro 🔒
Jonas FöhrenbachM 60%6 of 10 Pro 🔒

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

Holstein Kiel
Steven SkrzybskiF 80%4 of 5 Pro 🔒
Finn PorathM 75%6 of 8 Pro 🔒
Marco KomendaD 75%3 of 4 Pro 🔒
Armin GigovićM 71%5 of 7 Pro 🔒
1. FC Heidenheim
Leo ScienzaF 100%7 of 7 Pro 🔒
Mikkel KaufmannF 80%8 of 10 Pro 🔒
Omar Haktab TraoreM 80%8 of 10 Pro 🔒
Marvin PieringerF 70%7 of 10 Pro 🔒
Benedikt GimberD 60%6 of 10 Pro 🔒

Holstein Kiel
Steven SkrzybskiF 60%3 of 5 Pro 🔒
1. FC Heidenheim
Leo ScienzaF 86%6 of 7 Pro 🔒

Holstein Kiel
Timo BeckerM 100%8 of 8 Pro 🔒
Magnus KnudsenM 100%8 of 8 Pro 🔒
Marko IvezićD 100%4 of 4 Pro 🔒
Marco KomendaD 100%4 of 4 Pro 🔒
Tymoteusz PuchaczM 71%5 of 7 Pro 🔒
Nicolai RembergM 62%5 of 8 Pro 🔒
Finn PorathM 62%5 of 8 Pro 🔒
1. FC Heidenheim
Benedikt GimberD 90%9 of 10 Pro 🔒
Paul WannerF 80%8 of 10 Pro 🔒
Jonas FöhrenbachM 70%7 of 10 Pro 🔒
Omar Haktab TraoreM 70%7 of 10 Pro 🔒
Jan SchöppnerM 70%7 of 10 Pro 🔒
Patrick MainkaD 60%6 of 10 Pro 🔒
Mikkel KaufmannF 60%6 of 10 Pro 🔒
Tim SierslebenD 60%6 of 10 Pro 🔒

Holstein Kiel
Magnus KnudsenM 100%8 of 8 Pro 🔒
Marko IvezićD 75%3 of 4 Pro 🔒
Timo BeckerM 62%5 of 8 Pro 🔒
1. FC Heidenheim
Benedikt GimberD 80%8 of 10 Pro 🔒

Holstein Kiel
No Holstein Kiel player in this window.
1. FC Heidenheim
Marvin PieringerF 30%3 of 10 Stats only

Holstein Kiel
Timon WeinerG 62%5 of 8 Stats only
1. FC Heidenheim
No 1. FC Heidenheim player in this window.

Holstein Kiel
Timon WeinerG 62%5 of 8 Stats only
1. FC Heidenheim
No 1. FC Heidenheim 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+16% cards vs the league average
Frank Willenborg refereed this match 4.73cards a gameleague 4.07 45games
Frank Willenborg'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.