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NEC Nijmegen v Willem II Tilburg

Your slip follows you between games.

How often each NEC Nijmegen and Willem II Tilburg 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 NEC Nijmegen v Willem II Tilburg: Vito van Crooij (NEC Nijmegen) leads the home side for 1+ shots on target — 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 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.

NEC Nijmegen
Koki OgawaF 90%9 of 10 Pro 🔒
Bryan LinssenF 80%8 of 10 Pro 🔒
Thomas OuwejanD 80%8 of 10 Pro 🔒
Sami OuaissaM 70%7 of 10 Pro 🔒
Kento ShiogaiF 70%7 of 10 Pro 🔒
Vito van CrooijM 70%7 of 10 Pro 🔒
Kodai SanoF 60%6 of 10 Pro 🔒
Sontje HansenF 60%6 of 10 Pro 🔒
Willem II Tilburg
Jesse BoschM 70%7 of 10 Pro 🔒
Ringo MeerveldF 60%6 of 10 Pro 🔒

NEC Nijmegen
Vito van CrooijM 70%7 of 10 Pro 🔒
Willem II Tilburg
No Willem II Tilburg player in this window.

NEC Nijmegen
Vito van CrooijM 90%9 of 10 Pro 🔒
Kodai SanoF 80%8 of 10 Pro 🔒
Dirk Wanner ProperM 80%8 of 10 Pro 🔒
Thomas OuwejanD 70%7 of 10 Pro 🔒
Bryan LinssenF 60%6 of 10 Pro 🔒
Koki OgawaF 60%6 of 10 Pro 🔒
Sami OuaissaM 60%6 of 10 Pro 🔒
Iván MárquezD 60%6 of 10 Pro 🔒
Willem II Tilburg
Jesse BoschM 70%7 of 10 Pro 🔒
Tommy St JagoD 70%7 of 10 Pro 🔒
Kyan VaesenF 60%6 of 10 Pro 🔒

NEC Nijmegen
Vito van CrooijM 60%6 of 10 Pro 🔒
Willem II Tilburg
No Willem II Tilburg player in this window.

NEC Nijmegen
Kodai SanoF 80%8 of 10 Pro 🔒
Dirk Wanner ProperM 80%8 of 10 Pro 🔒
Brayann PereiraD 80%8 of 10 Pro 🔒
Sontje HansenF 70%7 of 10 Pro 🔒
Koki OgawaF 60%6 of 10 Pro 🔒
Iván MárquezD 60%6 of 10 Pro 🔒
Vito van CrooijM 60%6 of 10 Pro 🔒
Willem II Tilburg
Ringo MeerveldF 80%8 of 10 Pro 🔒
Tommy St JagoD 60%6 of 10 Pro 🔒

NEC Nijmegen
Calvin VerdonkD 90%9 of 10 Pro 🔒
Dirk Wanner ProperM 90%9 of 10 Pro 🔒
Kodai SanoF 80%8 of 10 Pro 🔒
Vito van CrooijM 80%8 of 10 Pro 🔒
Thomas OuwejanD 70%7 of 10 Pro 🔒
Brayann PereiraD 70%7 of 10 Pro 🔒
Bryan LinssenF 60%6 of 10 Pro 🔒
Kento ShiogaiF 60%6 of 10 Pro 🔒
Willem II Tilburg
Tommy St JagoD 100%10 of 10 Pro 🔒
Boris LambertM 90%9 of 10 Pro 🔒
Erik SchoutenD 80%8 of 10 Pro 🔒
Raffael BehounekD 70%7 of 10 Pro 🔒
Jesse BoschM 70%7 of 10 Pro 🔒
Amine LachkarM 70%7 of 10 Pro 🔒

NEC Nijmegen
Calvin VerdonkD 90%9 of 10 Pro 🔒
Dirk Wanner ProperM 70%7 of 10 Pro 🔒
Kodai SanoF 60%6 of 10 Pro 🔒
Thomas OuwejanD 60%6 of 10 Pro 🔒
Vito van CrooijM 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 🔒

NEC Nijmegen
No NEC Nijmegen player in this window.
Willem II Tilburg
Tommy St JagoD 70%7 of 10 Pro 🔒

NEC Nijmegen
Vito van CrooijM 40%4 of 10 Stats only
Kento ShiogaiF 30%3 of 10 Stats only
Willem II Tilburg
No Willem II Tilburg player in this window.

NEC Nijmegen
Robin RoefsG 80%8 of 10 Stats only
Willem II Tilburg
Thomas DidillonG 90%9 of 10 Stats only

NEC Nijmegen
No NEC Nijmegen player in this window.
Willem II Tilburg
Thomas DidillonG 70%7 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
Danny Makkelie refereed this match 3.32cards a gameleague 3.19 110games
Danny Makkelie'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.