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Player stats 23/24

VfL Bochum 1848 v Darmstadt 98

Your slip follows you between games.

How often each VfL Bochum 1848 and Darmstadt 98 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 Darmstadt 98: Takuma Asano (VfL Bochum 1848) 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.

VfL Bochum 1848
Patrick OsterhageM 90%9 of 10 Pro 🔒
Kevin StögerM 90%9 of 10 Pro 🔒
Matúš BeroM 80%8 of 10 Pro 🔒
Takuma AsanoF 80%8 of 10 Pro 🔒
Anthony LosillaM 60%6 of 10 Pro 🔒
Philipp HofmannF 60%6 of 10 Pro 🔒
Keven SchlotterbeckD 60%6 of 10 Pro 🔒
Moritz BroschinskiF 60%6 of 10 Pro 🔒
Darmstadt 98
Tim SkarkeF 80%8 of 10 Pro 🔒
Sebastian PolterF 70%7 of 10 Pro 🔒
Julian JustvanM 70%7 of 10 Pro 🔒
Gerrit HoltmannF 60%6 of 10 Pro 🔒

VfL Bochum 1848
Matúš BeroM 70%7 of 10 Pro 🔒
Takuma AsanoF 60%6 of 10 Pro 🔒
Darmstadt 98
No Darmstadt 98 player in this window.

VfL Bochum 1848
Takuma AsanoF 60%6 of 10 Pro 🔒
Darmstadt 98
No Darmstadt 98 player in this window.

VfL Bochum 1848
BernardoD 100%10 of 10 Pro 🔒
Patrick OsterhageM 90%9 of 10 Pro 🔒
Cristian GamboaD 80%8 of 10 Pro 🔒
Matúš BeroM 80%8 of 10 Pro 🔒
Takuma AsanoF 80%8 of 10 Pro 🔒
Erhan MašovićD 80%8 of 10 Pro 🔒
Anthony LosillaM 70%7 of 10 Pro 🔒
Ivan OrdetsD 70%7 of 10 Pro 🔒
Moritz BroschinskiF 70%7 of 10 Pro 🔒
Felix PasslackD 60%6 of 10 Pro 🔒
Darmstadt 98
Jannik MüllerD 90%9 of 10 Pro 🔒
Matthias BaderD 80%8 of 10 Pro 🔒
Tim SkarkeF 70%7 of 10 Pro 🔒
Thomas IsherwoodD 67%6 of 9 Pro 🔒
Clemens RiedelD 60%6 of 10 Pro 🔒
Klaus GjasulaM 60%6 of 10 Pro 🔒
Mathias HonsakM 60%6 of 10 Pro 🔒
Christoph KlarerD 60%6 of 10 Pro 🔒
Oscar VilhelmssonF 60%6 of 10 Pro 🔒

VfL Bochum 1848
Kevin StögerM 80%8 of 10 Pro 🔒
Matúš BeroM 70%7 of 10 Pro 🔒
Keven SchlotterbeckD 70%7 of 10 Pro 🔒
Moritz BroschinskiF 70%7 of 10 Pro 🔒
Takuma AsanoF 60%6 of 10 Pro 🔒
Darmstadt 98
Sebastian PolterF 80%8 of 10 Pro 🔒
Matthias BaderD 80%8 of 10 Pro 🔒
Tim SkarkeF 70%7 of 10 Pro 🔒

VfL Bochum 1848
Kevin StögerM 60%6 of 10 Pro 🔒
Darmstadt 98
No Darmstadt 98 player in this window.

VfL Bochum 1848
Anthony LosillaM 100%10 of 10 Pro 🔒
Patrick OsterhageM 100%10 of 10 Pro 🔒
Felix PasslackD 90%9 of 10 Pro 🔒
BernardoD 90%9 of 10 Pro 🔒
Keven SchlotterbeckD 90%9 of 10 Pro 🔒
Cristian GamboaD 80%8 of 10 Pro 🔒
Matúš BeroM 80%8 of 10 Pro 🔒
Erhan MašovićD 80%8 of 10 Pro 🔒
Kevin StögerM 80%8 of 10 Pro 🔒
Darmstadt 98
Emir KarićD 90%9 of 10 Pro 🔒
Matthias BaderD 90%9 of 10 Pro 🔒
Clemens RiedelD 80%8 of 10 Pro 🔒
Klaus GjasulaM 70%7 of 10 Pro 🔒
Jannik MüllerD 70%7 of 10 Pro 🔒
Thomas IsherwoodD 67%6 of 9 Pro 🔒
Gerrit HoltmannF 60%6 of 10 Pro 🔒
Mathias HonsakM 60%6 of 10 Pro 🔒
Tim SkarkeF 60%6 of 10 Pro 🔒

VfL Bochum 1848
BernardoD 80%8 of 10 Pro 🔒
Erhan MašovićD 70%7 of 10 Pro 🔒
Patrick OsterhageM 70%7 of 10 Pro 🔒
Anthony LosillaM 60%6 of 10 Pro 🔒
Darmstadt 98
Klaus GjasulaM 60%6 of 10 Pro 🔒
Matthias BaderD 60%6 of 10 Pro 🔒

VfL Bochum 1848
BernardoD 60%6 of 10 Pro 🔒
Darmstadt 98
No Darmstadt 98 player in this window.

VfL Bochum 1848
Kevin StögerM 40%4 of 10 Stats only
Darmstadt 98
No Darmstadt 98 player in this window.

VfL Bochum 1848
No VfL Bochum 1848 player in this window.
Darmstadt 98
Marcel SchuhenG 60%6 of 10 Stats only

VfL Bochum 1848
No VfL Bochum 1848 player in this window.
Darmstadt 98
Marcel SchuhenG 60%6 of 10 Stats only

🔒 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-11% cards vs the league average
Sven Jablonski refereed this match 3.62cards a gameleague 4.07 66games
Sven Jablonski'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.