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Player stats 25/26

VfL Wolfsburg v Bayer 04 Leverkusen

Your slip follows you between games.

How often each VfL Wolfsburg and Bayer 04 Leverkusen 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 Wolfsburg v Bayer 04 Leverkusen: Mohamed Amoura (VfL Wolfsburg) 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 Wolfsburg
Christian EriksenM 90%9 of 10 Pro 🔒
Mohamed AmouraM 70%7 of 10 Pro 🔒
Mattias SvanbergM 70%7 of 10 Pro 🔒
Lovro MajerM 70%7 of 10 Pro 🔒
Patrick WimmerM 70%7 of 10 Pro 🔒
Yannick GerhardtM 60%6 of 10 Pro 🔒
Jonas WindF 60%6 of 10 Pro 🔒
Bayer 04 Leverkusen
Alejandro GrimaldoM 90%9 of 10 Pro 🔒
Malik TillmanF 83%5 of 6 Pro 🔒
Jonas HofmannM 70%7 of 10 Pro 🔒
Aleix GarcíaM 70%7 of 10 Pro 🔒
Edmond TapsobaD 70%7 of 10 Pro 🔒
Ibrahim MazaM 60%6 of 10 Pro 🔒
Patrik SchickF 60%6 of 10 Pro 🔒

VfL Wolfsburg
Mohamed AmouraM 60%6 of 10 Pro 🔒
Bayer 04 Leverkusen
No Bayer 04 Leverkusen player in this window.

VfL Wolfsburg
Jenson SeeltD 70%7 of 10 Pro 🔒
Saël KumbediD 70%7 of 10 Pro 🔒
Mattias SvanbergM 70%7 of 10 Pro 🔒
Mohamed AmouraM 60%6 of 10 Pro 🔒
Yannick GerhardtM 60%6 of 10 Pro 🔒
Patrick WimmerM 60%6 of 10 Pro 🔒
Bayer 04 Leverkusen
Nathan TellaF 80%8 of 10 Pro 🔒
Patrik SchickF 70%7 of 10 Pro 🔒
Robert AndrichD 60%6 of 10 Pro 🔒

VfL Wolfsburg
Patrick WimmerM 90%9 of 10 Pro 🔒
Mattias SvanbergM 70%7 of 10 Pro 🔒
Jonas WindF 70%7 of 10 Pro 🔒
Lovro MajerM 60%6 of 10 Pro 🔒
Bayer 04 Leverkusen
Ibrahim MazaM 80%8 of 10 Pro 🔒
Alejandro GrimaldoM 80%8 of 10 Pro 🔒
Ernest PokuF 67%6 of 9 Pro 🔒
Malik TillmanF 67%4 of 6 Pro 🔒
Jarell QuansahD 60%6 of 10 Pro 🔒

VfL Wolfsburg
Patrick WimmerM 70%7 of 10 Pro 🔒
Bayer 04 Leverkusen
No Bayer 04 Leverkusen player in this window.

VfL Wolfsburg
Jenson SeeltD 90%9 of 10 Pro 🔒
Mohamed AmouraM 80%8 of 10 Pro 🔒
Saël KumbediD 80%8 of 10 Pro 🔒
Patrick WimmerM 80%8 of 10 Pro 🔒
Maximilian ArnoldM 70%7 of 10 Pro 🔒
Denis VavroD 70%7 of 10 Pro 🔒
Bayer 04 Leverkusen
Malik TillmanF 100%6 of 6 Pro 🔒
Robert AndrichD 80%8 of 10 Pro 🔒
Jarell QuansahD 70%7 of 10 Pro 🔒
Loïc BadéD 70%7 of 10 Pro 🔒
Edmond TapsobaD 70%7 of 10 Pro 🔒
Alejandro GrimaldoM 60%6 of 10 Pro 🔒
Nathan TellaF 60%6 of 10 Pro 🔒

VfL Wolfsburg
Jenson SeeltD 70%7 of 10 Pro 🔒
Patrick WimmerM 60%6 of 10 Pro 🔒
Bayer 04 Leverkusen
No Bayer 04 Leverkusen player in this window.

VfL Wolfsburg
Mohamed AmouraM 30%3 of 10 Stats only
Bayer 04 Leverkusen
Ernest PokuF 44%4 of 9 Stats only
Patrik SchickF 40%4 of 10 Stats only
Malik TillmanF 33%2 of 6 Stats only

VfL Wolfsburg
No VfL Wolfsburg player in this window.
Bayer 04 Leverkusen
Alejandro GrimaldoM 30%3 of 10 Stats only
Nathan TellaF 30%3 of 10 Stats only

VfL Wolfsburg
Kamil GrabaraG 60%6 of 10 Stats only
Bayer 04 Leverkusen
No Bayer 04 Leverkusen 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
Robert Hartmann refereed this match 3.86cards a gameleague 4.07 51games
Robert Hartmann'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.