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VfL Bochum 1848 v 1. FSV Mainz 05

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How often each VfL Bochum 1848 and 1. FSV Mainz 05 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 VfL Bochum 1848 v 1. FSV Mainz 05: Matúš Bero (VfL Bochum 1848) leads the home side for 1+ shots on target — 6 of 10 (60%); Jonathan Burkardt (1. FSV Mainz 05) tops the visitors on 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.

VfL Bochum 1848
Matúš BeroM 80%8 of 10 Pro 🔒
Giorgos MasourasF 70%7 of 10 Pro 🔒
Gerrit HoltmannF 60%6 of 10 Pro 🔒
Maximilian WittekM 60%6 of 10 Pro 🔒
Felix PasslackM 60%6 of 10 Pro 🔒
Myron BoaduF 60%6 of 10 Pro 🔒
Tom KraußM 60%6 of 10 Pro 🔒
1. FSV Mainz 05
Nadiem AmiriM 100%10 of 10 Pro 🔒
Jonathan BurkardtF 100%10 of 10 Pro 🔒
Anthony CaciM 80%8 of 10 Pro 🔒
Nelson WeiperF 70%7 of 10 Pro 🔒
Jae-sung LeeF 70%7 of 10 Pro 🔒
Paul NebelF 70%7 of 10 Pro 🔒
Nikolas VeratschnigD 60%6 of 10 Pro 🔒

VfL Bochum 1848
Matúš BeroM 60%6 of 10 Pro 🔒
1. FSV Mainz 05
Nadiem AmiriM 70%7 of 10 Pro 🔒
Jonathan BurkardtF 60%6 of 10 Pro 🔒

VfL Bochum 1848
Matúš BeroM 60%6 of 10 Pro 🔒
Giorgos MasourasF 60%6 of 10 Pro 🔒
1. FSV Mainz 05
Jonathan BurkardtF 70%7 of 10 Pro 🔒
Nadiem AmiriM 60%6 of 10 Pro 🔒

VfL Bochum 1848
Matúš BeroM 100%10 of 10 Pro 🔒
BernardoD 80%8 of 10 Pro 🔒
Ibrahima SissokoM 80%8 of 10 Pro 🔒
Ivan OrdetsD 70%7 of 10 Pro 🔒
Gerrit HoltmannF 70%7 of 10 Pro 🔒
Giorgos MasourasF 70%7 of 10 Pro 🔒
Anthony LosillaM 60%6 of 10 Pro 🔒
Maximilian WittekM 60%6 of 10 Pro 🔒
Tom KraußM 60%6 of 10 Pro 🔒
1. FSV Mainz 05
Phillipp MweneM 90%9 of 10 Pro 🔒
Stefan BellD 80%8 of 10 Pro 🔒
Nadiem AmiriM 80%8 of 10 Pro 🔒
Lennard MaloneyM 70%7 of 10 Pro 🔒
Paul NebelF 70%7 of 10 Pro 🔒
Anthony CaciM 60%6 of 10 Pro 🔒

VfL Bochum 1848
Matúš BeroM 70%7 of 10 Pro 🔒
Ibrahima SissokoM 70%7 of 10 Pro 🔒
Gerrit HoltmannF 60%6 of 10 Pro 🔒
1. FSV Mainz 05
Nadiem AmiriM 60%6 of 10 Pro 🔒

VfL Bochum 1848
Matúš BeroM 80%8 of 10 Pro 🔒
Maximilian WittekM 80%8 of 10 Pro 🔒
Ivan OrdetsD 60%6 of 10 Pro 🔒
Tom KraußM 60%6 of 10 Pro 🔒
1. FSV Mainz 05
Nadiem AmiriM 100%10 of 10 Pro 🔒
Jonathan BurkardtF 70%7 of 10 Pro 🔒
Kaishu SanoM 60%6 of 10 Pro 🔒
Phillipp MweneM 60%6 of 10 Pro 🔒
Jae-sung LeeF 60%6 of 10 Pro 🔒

VfL Bochum 1848
Matúš BeroM 100%10 of 10 Pro 🔒
Maximilian WittekM 100%10 of 10 Pro 🔒
BernardoD 100%10 of 10 Pro 🔒
Ibrahima SissokoM 90%9 of 10 Pro 🔒
Tom KraußM 90%9 of 10 Pro 🔒
Tim OermannD 80%8 of 10 Pro 🔒
Felix PasslackM 70%7 of 10 Pro 🔒
Anthony LosillaM 60%6 of 10 Pro 🔒
Ivan OrdetsD 60%6 of 10 Pro 🔒
Giorgos MasourasF 60%6 of 10 Pro 🔒
1. FSV Mainz 05
Jae-sung LeeF 80%8 of 10 Pro 🔒
Anthony CaciM 80%8 of 10 Pro 🔒
Paul NebelF 80%8 of 10 Pro 🔒
Kaishu SanoM 70%7 of 10 Pro 🔒
Stefan BellD 70%7 of 10 Pro 🔒
Phillipp MweneM 70%7 of 10 Pro 🔒
Nadiem AmiriM 70%7 of 10 Pro 🔒
Lennard MaloneyM 70%7 of 10 Pro 🔒
Danny da CostaD 70%7 of 10 Pro 🔒
Nikolas VeratschnigD 60%6 of 10 Pro 🔒

VfL Bochum 1848
BernardoD 70%7 of 10 Pro 🔒
Matúš BeroM 60%6 of 10 Pro 🔒
Maximilian WittekM 60%6 of 10 Pro 🔒
Giorgos MasourasF 60%6 of 10 Pro 🔒
Tom KraußM 60%6 of 10 Pro 🔒
1. FSV Mainz 05
No 1. FSV Mainz 05 player in this window.

VfL Bochum 1848
No VfL Bochum 1848 player in this window.
1. FSV Mainz 05
Jonathan BurkardtF 40%4 of 10 Stats only
Paul NebelF 30%3 of 10 Stats only

VfL Bochum 1848
Felix PasslackM 30%3 of 10 Stats only
1. FSV Mainz 05
No 1. FSV Mainz 05 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
Tobias Stieler refereed this match 3.42cards a gameleague 4.07 62games
Tobias Stieler'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.