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Holstein Kiel v 1. FC Union Berlin

Your slip follows you between games.

How often each Holstein Kiel and 1. FC Union Berlin 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 Union Berlin: Benedikt Pichler (Holstein Kiel) leads the home side for 1+ shots on target — 5 of 6 (83%); Benedict Hollerbach (1. FC Union Berlin) tops the visitors on 6 of 10 (60%). 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%6 of 6 Pro 🔒
Shuto MachinoF 83%5 of 6 Pro 🔒
Armin GigovićM 80%4 of 5 Pro 🔒
Timo BeckerD 67%4 of 6 Pro 🔒
Fiete ArpF 67%4 of 6 Pro 🔒
Marco KomendaD 67%2 of 3 Pro 🔒
1. FC Union Berlin
Yorbe VertessenF 90%9 of 10 Pro 🔒
Benedict HollerbachF 80%8 of 10 Pro 🔒
László BénesM 80%4 of 5 Pro 🔒
Aljoscha KemleinM 75%3 of 4 Pro 🔒
Tim SkarkeF 70%7 of 10 Pro 🔒
Diogo LeiteD 70%7 of 10 Pro 🔒
Woo-Yeong JeongM 70%7 of 10 Pro 🔒

Holstein Kiel
Benedikt PichlerF 83%5 of 6 Pro 🔒
1. FC Union Berlin
Benedict HollerbachF 60%6 of 10 Pro 🔒

Holstein Kiel
Benedikt PichlerF 83%5 of 6 Pro 🔒
Shuto MachinoF 83%5 of 6 Pro 🔒
1. FC Union Berlin
Benedict HollerbachF 60%6 of 10 Pro 🔒

Holstein Kiel
Magnus KnudsenM 100%6 of 6 Pro 🔒
Finn PorathD 83%5 of 6 Pro 🔒
Nicolai RembergM 67%4 of 6 Pro 🔒
1. FC Union Berlin
Rani KhediraM 100%10 of 10 Pro 🔒
Danilho DoekhiD 70%7 of 10 Pro 🔒
Yorbe VertessenF 70%7 of 10 Pro 🔒
Benedict HollerbachF 70%7 of 10 Pro 🔒
Janik HabererM 60%6 of 10 Pro 🔒
Jordan SiebatcheuF 60%6 of 10 Pro 🔒
László BénesM 60%3 of 5 Pro 🔒

Holstein Kiel
Finn PorathD 67%4 of 6 Pro 🔒
Magnus KnudsenM 67%4 of 6 Pro 🔒
1. FC Union Berlin

Holstein Kiel
Finn PorathD 83%5 of 6 Pro 🔒
Tymoteusz PuchaczD 80%4 of 5 Pro 🔒
Benedikt PichlerF 67%4 of 6 Pro 🔒
Shuto MachinoF 67%4 of 6 Pro 🔒
Steven SkrzybskiF 67%2 of 3 Pro 🔒
Marco KomendaD 67%2 of 3 Pro 🔒
Armin GigovićM 60%3 of 5 Pro 🔒
1. FC Union Berlin
Benedict HollerbachF 90%9 of 10 Pro 🔒
Tim SkarkeF 70%7 of 10 Pro 🔒
Danilho DoekhiD 70%7 of 10 Pro 🔒
Diogo LeiteD 70%7 of 10 Pro 🔒
Yorbe VertessenF 70%7 of 10 Pro 🔒

Holstein Kiel
Timo BeckerD 100%6 of 6 Pro 🔒
Magnus KnudsenM 100%6 of 6 Pro 🔒
Marco KomendaD 100%3 of 3 Pro 🔒
Fiete ArpF 67%4 of 6 Pro 🔒
Tymoteusz PuchaczD 60%3 of 5 Pro 🔒
Armin GigovićM 60%3 of 5 Pro 🔒
1. FC Union Berlin
Rani KhediraM 100%10 of 10 Pro 🔒
Diogo LeiteD 80%8 of 10 Pro 🔒
Janik HabererM 60%6 of 10 Pro 🔒
Christopher TrimmelM 60%6 of 10 Pro 🔒
Danilho DoekhiD 60%6 of 10 Pro 🔒

Holstein Kiel
Magnus KnudsenM 100%6 of 6 Pro 🔒
Timo BeckerD 67%4 of 6 Pro 🔒
1. FC Union Berlin
Diogo LeiteD 70%7 of 10 Pro 🔒

Holstein Kiel
Shuto MachinoF 50%3 of 6 Stats only
1. FC Union Berlin
Yorbe VertessenF 30%3 of 10 Stats only
Woo-Yeong JeongM 30%3 of 10 Stats only
Benedict HollerbachF 30%3 of 10 Stats only

Holstein Kiel
Steven SkrzybskiF 33%1 of 3 Stats only
1. FC Union Berlin
No 1. FC Union Berlin player in this window.

Holstein Kiel
Timon WeinerG 67%4 of 6 Stats only
1. FC Union Berlin
No 1. FC Union Berlin player in this window.

Holstein Kiel
Timon WeinerG 67%4 of 6 Stats only
1. FC Union Berlin
No 1. FC Union Berlin player in this window.

Holstein Kiel
Timon WeinerG 67%4 of 6 Stats only
1. FC Union Berlin
No 1. FC Union Berlin 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
Timo Gerach refereed this match 4.10cards a gameleague 4.07 30games
Timo Gerach'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.