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Player stats 23/24

FC Utrecht v Vitesse

Your slip follows you between games.

How often each FC Utrecht and Vitesse 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 FC Utrecht v Vitesse: Sam Lammers (FC Utrecht) leads the home side for 1+ shots on target — 8 of 10 (80%); Kacper Kozłowski (Vitesse) 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.

FC Utrecht
Sam LammersF 100%10 of 10 Pro 🔒
Taylor BoothF 70%7 of 10 Pro 🔒
Isac LidbergF 70%7 of 10 Pro 🔒
Othmane BoussaidF 70%7 of 10 Pro 🔒
Jens ToornstraM 60%6 of 10 Pro 🔒
Oscar FrauloM 60%6 of 10 Pro 🔒
Victor JensenM 60%6 of 10 Pro 🔒
Vitesse
Kacper KozłowskiF 100%10 of 10 Pro 🔒
Paxten AaronsonM 90%9 of 10 Pro 🔒
Anis Hadj MoussaF 80%8 of 10 Pro 🔒
Amine BoutrahF 80%8 of 10 Pro 🔒
Marco van GinkelF 70%7 of 10 Pro 🔒
Melle MeulensteenM 60%6 of 10 Pro 🔒
Mica PintoD 60%6 of 10 Pro 🔒

FC Utrecht
Sam LammersF 80%8 of 10 Pro 🔒
Vitesse
Paxten AaronsonM 80%8 of 10 Pro 🔒
Kacper KozłowskiF 70%7 of 10 Pro 🔒
Anis Hadj MoussaF 60%6 of 10 Pro 🔒

FC Utrecht
Sam LammersF 60%6 of 10 Pro 🔒
Vitesse
Paxten AaronsonM 70%7 of 10 Pro 🔒

FC Utrecht
Sam LammersF 80%8 of 10 Pro 🔒
Vitesse
Kacper KozłowskiF 70%7 of 10 Pro 🔒
Paxten AaronsonM 60%6 of 10 Pro 🔒

FC Utrecht
Ryan FlamingoM 60%6 of 10 Pro 🔒
Sam LammersF 60%6 of 10 Pro 🔒
Jens ToornstraM 60%6 of 10 Pro 🔒
Oscar FrauloM 60%6 of 10 Pro 🔒
Hidde ter AvestD 60%6 of 10 Pro 🔒
Vitesse
Ramon HendriksD 80%8 of 10 Pro 🔒
Carlens ArcusD 70%7 of 10 Pro 🔒
Toni DomgjoniM 70%7 of 10 Pro 🔒
Gyan de RegtM 70%7 of 10 Pro 🔒
Paxten AaronsonM 60%6 of 10 Pro 🔒
Mica PintoD 60%6 of 10 Pro 🔒

FC Utrecht
Sam LammersF 90%9 of 10 Pro 🔒
Can BozdoğanM 60%6 of 10 Pro 🔒
Oscar FrauloM 60%6 of 10 Pro 🔒
Vitesse
Marco van GinkelF 70%7 of 10 Pro 🔒
Anis Hadj MoussaF 70%7 of 10 Pro 🔒
Amine BoutrahF 70%7 of 10 Pro 🔒
Ramon HendriksD 70%7 of 10 Pro 🔒
Paxten AaronsonM 60%6 of 10 Pro 🔒
Carlens ArcusD 60%6 of 10 Pro 🔒
Kacper KozłowskiF 60%6 of 10 Pro 🔒

FC Utrecht
Can BozdoğanM 90%9 of 10 Pro 🔒
Sam LammersF 80%8 of 10 Pro 🔒
Jens ToornstraM 80%8 of 10 Pro 🔒
Oscar FrauloM 80%8 of 10 Pro 🔒
Victor JensenM 80%8 of 10 Pro 🔒
Ryan FlamingoM 70%7 of 10 Pro 🔒
Nick ViergeverD 70%7 of 10 Pro 🔒
Hidde ter AvestD 70%7 of 10 Pro 🔒
Vitesse
Paxten AaronsonM 100%10 of 10 Pro 🔒
Enzo CornelisseD 80%8 of 10 Pro 🔒
Mica PintoD 80%8 of 10 Pro 🔒
Carlens ArcusD 80%8 of 10 Pro 🔒
Ramon HendriksD 80%8 of 10 Pro 🔒
Kacper KozłowskiF 80%8 of 10 Pro 🔒
Gyan de RegtM 70%7 of 10 Pro 🔒
Toni DomgjoniM 60%6 of 10 Pro 🔒

FC Utrecht
Jens ToornstraM 60%6 of 10 Pro 🔒
Oscar FrauloM 60%6 of 10 Pro 🔒
Vitesse
Paxten AaronsonM 80%8 of 10 Pro 🔒
Carlens ArcusD 60%6 of 10 Pro 🔒

FC Utrecht
Sam LammersF 70%7 of 10 Stats only
Isac LidbergF 30%3 of 10 Stats only
Vitesse
Paxten AaronsonM 30%3 of 10 Stats only

FC Utrecht
Vasilis BarkasG 60%6 of 10 Stats only
Vitesse
Eloy RoomG 100%10 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
Rob Dieperink refereed this match 3.46cards a gameleague 3.19 54games
Rob Dieperink'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.