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RKC Waalwijk v Feyenoord

Your slip follows you between games.

How often each RKC Waalwijk and Feyenoord 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 RKC Waalwijk v Feyenoord: Oskar Zawada (RKC Waalwijk) leads the home side for 1+ shots on target — 6 of 10 (60%); Quinten Timber (Feyenoord) 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 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.

RKC Waalwijk
Richonell MargaretF 90%9 of 10 Pro 🔒
Oskar ZawadaF 60%6 of 10 Pro 🔒
Feyenoord
Igor PaixãoF 90%9 of 10 Pro 🔒
Calvin StengsM 80%8 of 10 Pro 🔒
Hwang In-beomM 80%8 of 10 Pro 🔒
Quinten TimberM 80%8 of 10 Pro 🔒
Ibrahim OsmanF 75%6 of 8 Pro 🔒
Antoni MilamboM 70%7 of 10 Pro 🔒
Santiago GiménezF 70%7 of 10 Pro 🔒
Dávid HanckoD 60%6 of 10 Pro 🔒
Gijs SmalD 60%6 of 10 Pro 🔒

RKC Waalwijk
No RKC Waalwijk player in this window.
Feyenoord
Calvin StengsM 60%6 of 10 Pro 🔒
Hwang In-beomM 60%6 of 10 Pro 🔒
Santiago GiménezF 60%6 of 10 Pro 🔒
Quinten TimberM 60%6 of 10 Pro 🔒

RKC Waalwijk
Oskar ZawadaF 60%6 of 10 Pro 🔒
Feyenoord
Quinten TimberM 70%7 of 10 Pro 🔒
Santiago GiménezF 60%6 of 10 Pro 🔒

RKC Waalwijk
Richonell MargaretF 70%7 of 10 Pro 🔒
Oskar ZawadaF 70%7 of 10 Pro 🔒
Liam Van GelderenD 60%6 of 10 Pro 🔒
Godfried RoemeratoeM 60%6 of 10 Pro 🔒
Feyenoord
Quinten TimberM 80%8 of 10 Pro 🔒
Thomas BeelenD 70%7 of 10 Pro 🔒
Calvin StengsM 70%7 of 10 Pro 🔒
Ramiz ZerroukiM 70%7 of 10 Pro 🔒
Bart NieuwkoopD 60%6 of 10 Pro 🔒
Hwang In-beomM 60%6 of 10 Pro 🔒
Santiago GiménezF 60%6 of 10 Pro 🔒

RKC Waalwijk
Richonell MargaretF 90%9 of 10 Pro 🔒
Roshon van EijmaD 70%7 of 10 Pro 🔒
Godfried RoemeratoeM 70%7 of 10 Pro 🔒
Feyenoord
Quinten TimberM 90%9 of 10 Pro 🔒
Igor PaixãoF 80%8 of 10 Pro 🔒
Dávid HanckoD 70%7 of 10 Pro 🔒
Santiago GiménezF 70%7 of 10 Pro 🔒
Ibrahim OsmanF 62%5 of 8 Pro 🔒
Thomas BeelenD 60%6 of 10 Pro 🔒
Hwang In-beomM 60%6 of 10 Pro 🔒

RKC Waalwijk
No RKC Waalwijk player in this window.
Feyenoord
Quinten TimberM 60%6 of 10 Pro 🔒

RKC Waalwijk
Dario Van Den BuijsD 100%10 of 10 Pro 🔒
Julian LelieveldD 90%9 of 10 Pro 🔒
Liam Van GelderenD 80%8 of 10 Pro 🔒
Richonell MargaretF 70%7 of 10 Pro 🔒
Godfried RoemeratoeM 70%7 of 10 Pro 🔒
Luuk WoutersD 70%7 of 10 Pro 🔒
Tim van de LooM 67%6 of 9 Pro 🔒
Roshon van EijmaD 60%6 of 10 Pro 🔒
Yassin OukiliM 60%6 of 10 Pro 🔒
Feyenoord
Ramiz ZerroukiM 90%9 of 10 Pro 🔒
Givairo ReadD 86%6 of 7 Pro 🔒
Dávid HanckoD 80%8 of 10 Pro 🔒
Quinten TimberM 80%8 of 10 Pro 🔒
Hwang In-beomM 70%7 of 10 Pro 🔒
Igor PaixãoF 70%7 of 10 Pro 🔒
Thomas BeelenD 60%6 of 10 Pro 🔒
Bart NieuwkoopD 60%6 of 10 Pro 🔒

RKC Waalwijk
Julian LelieveldD 70%7 of 10 Pro 🔒
Richonell MargaretF 60%6 of 10 Pro 🔒
Godfried RoemeratoeM 60%6 of 10 Pro 🔒
Feyenoord
Givairo ReadD 86%6 of 7 Pro 🔒
Dávid HanckoD 70%7 of 10 Pro 🔒
Quinten TimberM 70%7 of 10 Pro 🔒

RKC Waalwijk
Richonell MargaretF 30%3 of 10 Stats only
Feyenoord
Santiago GiménezF 30%3 of 10 Stats only
Quinten TimberM 30%3 of 10 Stats only

RKC Waalwijk
No RKC Waalwijk player in this window.
Feyenoord
Igor PaixãoF 50%5 of 10 Stats only
Calvin StengsM 40%4 of 10 Stats only
Santiago GiménezF 30%3 of 10 Stats only

RKC Waalwijk
Jeroen HouwenG 80%8 of 10 Stats only
Feyenoord
Timon WellenreutherG 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-22% cards vs the league average
Bas Nijhuis refereed this match 2.50cards a gameleague 3.19 78games
Bas Nijhuis'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.