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Willem II Tilburg v Heracles Almelo

Your slip follows you between games.

How often each Willem II Tilburg and Heracles Almelo 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 Willem II Tilburg v Heracles Almelo: Jeremy Bokila (Willem II Tilburg) leads the home side for 1+ shots — 9 of 10 (90%); Mats Rots (Heracles Almelo) tops the visitors on 9 of 10 (90%). 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 26/27 figures from completed matches: Last N is their last N games; Season is their whole 26/27; H2H is only games against this opponent.

Willem II Tilburg
Jeremy BokilaF 90%9 of 10 Pro 🔒
Jesse BoschM 70%7 of 10 Pro 🔒
Patrick JoostenF 70%7 of 10 Pro 🔒
Emilio KehrerF 60%6 of 10 Pro 🔒
Ringo MeerveldF 60%6 of 10 Pro 🔒
Heracles Almelo
Mats RotsD 90%9 of 10 Pro 🔒
Jizz HornkampF 90%9 of 10 Pro 🔒
Juho TalvitieM 70%7 of 10 Pro 🔒
Mario EngelsM 60%6 of 10 Pro 🔒
Thomas BrunsM 60%6 of 10 Pro 🔒
Suf PodgoreanuM 60%6 of 10 Pro 🔒

Willem II Tilburg
Kyan VaesenM 70%7 of 10 Pro 🔒
Jeremy BokilaF 70%7 of 10 Pro 🔒
Jesse BoschM 70%7 of 10 Pro 🔒
Mickael TirpanD 60%6 of 10 Pro 🔒
Tommy St JagoD 60%6 of 10 Pro 🔒
Heracles Almelo
Jizz HornkampF 90%9 of 10 Pro 🔒
Damon MiraniD 90%9 of 10 Pro 🔒
Suf PodgoreanuM 90%9 of 10 Pro 🔒
Ivan MesíkD 70%7 of 10 Pro 🔒
Thomas BrunsM 70%7 of 10 Pro 🔒
Mario EngelsM 60%6 of 10 Pro 🔒
Jan ŽambůrekM 60%6 of 10 Pro 🔒

Willem II Tilburg
Jeremy BokilaF 60%6 of 10 Pro 🔒
Heracles Almelo
Jizz HornkampF 60%6 of 10 Pro 🔒

Willem II Tilburg
Jeremy BokilaF 90%9 of 10 Pro 🔒
Patrick JoostenF 80%8 of 10 Pro 🔒
Ringo MeerveldF 80%8 of 10 Pro 🔒
Mickael TirpanD 70%7 of 10 Pro 🔒
Amine LachkarM 60%6 of 10 Pro 🔒
Tommy St JagoD 60%6 of 10 Pro 🔒
Heracles Almelo
Ivan MesíkD 70%7 of 10 Pro 🔒
Suf PodgoreanuM 70%7 of 10 Pro 🔒
Thomas BrunsM 60%6 of 10 Pro 🔒
Juho TalvitieM 60%6 of 10 Pro 🔒
Luka KulenovićF 60%6 of 10 Pro 🔒

Willem II Tilburg
Tommy St JagoD 100%10 of 10 Pro 🔒
Boris LambertD 90%9 of 10 Pro 🔒
Amine LachkarM 80%8 of 10 Pro 🔒
Mickael TirpanD 70%7 of 10 Pro 🔒
Erik SchoutenD 70%7 of 10 Pro 🔒
Jesse BoschM 60%6 of 10 Pro 🔒
Heracles Almelo
Jannes WieckhoffD 90%9 of 10 Pro 🔒
Thomas BrunsM 90%9 of 10 Pro 🔒
Mats RotsD 80%8 of 10 Pro 🔒
Mimeirhel BenitaD 70%7 of 10 Pro 🔒
Jan ŽambůrekM 70%7 of 10 Pro 🔒
Damon MiraniD 60%6 of 10 Pro 🔒

Willem II Tilburg
Tommy St JagoD 80%8 of 10 Pro 🔒
Amine LachkarM 70%7 of 10 Pro 🔒
Jesse BoschM 60%6 of 10 Pro 🔒
Heracles Almelo
Mats RotsD 60%6 of 10 Pro 🔒
Thomas BrunsM 60%6 of 10 Pro 🔒

Willem II Tilburg
Tommy St JagoD 80%8 of 10 Pro 🔒
Heracles Almelo
No Heracles Almelo player in this window.

Willem II Tilburg
No Willem II Tilburg player in this window.
Heracles Almelo
Jizz HornkampF 40%4 of 10 Stats only
Luka KulenovićF 30%3 of 10 Stats only

Willem II Tilburg
No Willem II Tilburg player in this window.
Heracles Almelo
Suf PodgoreanuM 30%3 of 10 Stats only

Willem II Tilburg
Thomas DidillonG 90%9 of 10 Stats only
Heracles Almelo
Fabian De KeijzerG 70%7 of 10 Stats only

Willem II Tilburg
Thomas DidillonG 60%6 of 10 Stats only
Heracles Almelo
No Heracles Almelo 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
Manschot, Jeroen refereed this match 3.44cards a gameleague 3.19 95games
Manschot, Jeroen'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.