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1. FC Union Berlin v VfL Bochum 1848

Your slip follows you between games.

How often each 1. FC Union Berlin and VfL Bochum 1848 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 Union Berlin v VfL Bochum 1848: Emmanuel Latte Lath (1. FC Union Berlin) leads the home side for 1+ shots on target — 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.

1. FC Union Berlin
Aljoscha KemleinM 70%7 of 10 Pro 🔒
Emmanuel Latte LathFform earned at Middlesbrough 70%7 of 10 Pro 🔒
Tom Alexander RotheM 60%6 of 10 Pro 🔒
Woo-Yeong JeongF 60%6 of 10 Pro 🔒
VfL Bochum 1848
Moritz BroschinskiF 100%10 of 10 Pro 🔒
Maximilian WittekM 70%7 of 10 Pro 🔒
Felix PasslackM 70%7 of 10 Pro 🔒
BernardoD 70%7 of 10 Pro 🔒
Moritz KwartengM 70%7 of 10 Pro 🔒
Philipp HofmannF 60%6 of 10 Pro 🔒
Koji MiyoshiF 60%6 of 10 Pro 🔒
Ibrahima SissokoM 60%6 of 10 Pro 🔒
Dani De WitM 60%6 of 10 Pro 🔒
Myron BoaduF 60%6 of 10 Pro 🔒
Lukas DaschnerM 60%6 of 10 Pro 🔒

1. FC Union Berlin
No 1. FC Union Berlin player in this window.
VfL Bochum 1848
Moritz BroschinskiF 60%6 of 10 Pro 🔒

1. FC Union Berlin
Emmanuel Latte LathFform earned at Middlesbrough 60%6 of 10 Pro 🔒
VfL Bochum 1848
No VfL Bochum 1848 player in this window.

1. FC Union Berlin
Rani KhediraM 90%9 of 10 Pro 🔒
Aljoscha KemleinM 80%8 of 10 Pro 🔒
Tom Alexander RotheM 70%7 of 10 Pro 🔒
Woo-Yeong JeongF 70%7 of 10 Pro 🔒
Leopold QuerfeldD 60%6 of 10 Pro 🔒
Felix UduokhaiDform earned at FC Augsburg 60%6 of 10 Pro 🔒
VfL Bochum 1848
Ibrahima SissokoM 90%9 of 10 Pro 🔒
Anthony LosillaM 80%8 of 10 Pro 🔒
Moritz BroschinskiF 80%8 of 10 Pro 🔒
Maximilian WittekM 70%7 of 10 Pro 🔒
Felix PasslackM 70%7 of 10 Pro 🔒
BernardoD 70%7 of 10 Pro 🔒
Philipp HofmannF 60%6 of 10 Pro 🔒
Koji MiyoshiF 60%6 of 10 Pro 🔒
Erhan MašovićD 60%6 of 10 Pro 🔒
Dani De WitM 60%6 of 10 Pro 🔒

1. FC Union Berlin
Aljoscha KemleinM 60%6 of 10 Pro 🔒
VfL Bochum 1848
BernardoD 60%6 of 10 Pro 🔒
Ibrahima SissokoM 60%6 of 10 Pro 🔒

1. FC Union Berlin
No 1. FC Union Berlin player in this window.
VfL Bochum 1848
Matúš BeroM 70%7 of 10 Pro 🔒
Maximilian WittekM 70%7 of 10 Pro 🔒
Philipp HofmannF 60%6 of 10 Pro 🔒
BernardoD 60%6 of 10 Pro 🔒
Ibrahima SissokoM 60%6 of 10 Pro 🔒

1. FC Union Berlin
Rani KhediraM 90%9 of 10 Pro 🔒
Christopher TrimmelM 80%8 of 10 Pro 🔒
Stanley NsokiDform earned at TSG Hoffenheim 70%7 of 10 Pro 🔒
Tom Alexander RotheM 60%6 of 10 Pro 🔒
Janik HabererF 60%6 of 10 Pro 🔒
Robert SkovM 60%6 of 10 Pro 🔒
Felix UduokhaiDform earned at FC Augsburg 60%6 of 10 Pro 🔒
VfL Bochum 1848
BernardoD 100%10 of 10 Pro 🔒
Matúš BeroM 90%9 of 10 Pro 🔒
Felix PasslackM 80%8 of 10 Pro 🔒
Ibrahima SissokoM 80%8 of 10 Pro 🔒
Anthony LosillaM 70%7 of 10 Pro 🔒
Maximilian WittekM 70%7 of 10 Pro 🔒
Dani De WitM 70%7 of 10 Pro 🔒
Tim OermannD 60%6 of 10 Pro 🔒
Ivan OrdetsD 60%6 of 10 Pro 🔒

1. FC Union Berlin
No 1. FC Union Berlin player in this window.
VfL Bochum 1848
Anthony LosillaM 70%7 of 10 Pro 🔒
Felix PasslackM 70%7 of 10 Pro 🔒
Maximilian WittekM 60%6 of 10 Pro 🔒
BernardoD 60%6 of 10 Pro 🔒

1. FC Union Berlin
Emmanuel Latte LathFform earned at Middlesbrough 40%4 of 10 Stats only
VfL Bochum 1848
No VfL Bochum 1848 player in this window.

1. FC Union Berlin
Frederik RønnowG 60%6 of 10 Stats only
VfL Bochum 1848
No VfL Bochum 1848 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+13% cards vs the league average
Martin Petersen refereed this match 4.60cards a gameleague 4.07 43games
Martin Petersen'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.