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Player stats 25/26

Feyenoord v AFC Ajax

Your slip follows you between games.

How often each Feyenoord and AFC Ajax 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 Feyenoord v AFC Ajax: Mika Godts (AFC Ajax) tops the visitors 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 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.

Feyenoord
Leo SauerF 90%9 of 10 Pro 🔒
Luciano ValenteM 80%8 of 10 Pro 🔒
Jordan BosD 80%8 of 10 Pro 🔒
Anis Hadj MoussaF 80%8 of 10 Pro 🔒
Jakub ModerM 70%7 of 10 Pro 🔒
Ayase UedaF 70%7 of 10 Pro 🔒
AFC Ajax
Mika GodtsF 100%10 of 10 Pro 🔒
Rayane BounidaF 90%9 of 10 Pro 🔒
Wout WeghorstF 80%8 of 10 Pro 🔒
Davy KlaassenM 80%8 of 10 Pro 🔒
Steven BerghuisF 60%6 of 10 Pro 🔒
Sean SteurM 60%6 of 10 Pro 🔒
Lucas RosaD 60%6 of 10 Pro 🔒

Feyenoord
Anis Hadj MoussaF 70%7 of 10 Pro 🔒
Ayase UedaF 70%7 of 10 Pro 🔒
Luciano ValenteM 60%6 of 10 Pro 🔒
Jakub ModerM 60%6 of 10 Pro 🔒
AFC Ajax
Mika GodtsF 80%8 of 10 Pro 🔒
Rayane BounidaF 60%6 of 10 Pro 🔒

Feyenoord
No Feyenoord player in this window.
AFC Ajax
Mika GodtsF 60%6 of 10 Pro 🔒

Feyenoord
No Feyenoord player in this window.
AFC Ajax
Mika GodtsF 60%6 of 10 Pro 🔒
Davy KlaassenM 60%6 of 10 Pro 🔒

Feyenoord
No Feyenoord player in this window.
AFC Ajax
Mika GodtsF 60%6 of 10 Pro 🔒

Feyenoord
Raheem SterlingF 75%3 of 4 Pro 🔒
Jordan BosD 70%7 of 10 Pro 🔒
Anel AhmedhodžićD 70%7 of 10 Pro 🔒
Jakub ModerM 60%6 of 10 Pro 🔒
Tsuyoshi WatanabeD 60%6 of 10 Pro 🔒
Ayase UedaF 60%6 of 10 Pro 🔒
AFC Ajax
Davy KlaassenM 80%8 of 10 Pro 🔒
Youri BaasD 70%7 of 10 Pro 🔒
Rayane BounidaF 60%6 of 10 Pro 🔒
Lucas RosaD 60%6 of 10 Pro 🔒

Feyenoord
Raheem SterlingF 100%4 of 4 Pro 🔒
Leo SauerF 80%8 of 10 Pro 🔒
Anis Hadj MoussaF 70%7 of 10 Pro 🔒
Ayase UedaF 70%7 of 10 Pro 🔒
Luciano ValenteM 60%6 of 10 Pro 🔒
Timon WellenreutherG 60%6 of 10 Pro 🔒
Jakub ModerM 60%6 of 10 Pro 🔒
AFC Ajax
Kasper DolbergF 90%9 of 10 Pro 🔒
Owen WijndalD 80%8 of 10 Pro 🔒
Lucas RosaD 80%8 of 10 Pro 🔒
Mika GodtsF 70%7 of 10 Pro 🔒
Rayane BounidaF 70%7 of 10 Pro 🔒

Feyenoord
Jordan BosD 100%10 of 10 Pro 🔒
Oussama TarghallineM 90%9 of 10 Pro 🔒
Thijs KraaijeveldM 83%5 of 6 Pro 🔒
Jakub ModerM 80%8 of 10 Pro 🔒
Raheem SterlingF 75%3 of 4 Pro 🔒
Luciano ValenteM 70%7 of 10 Pro 🔒
Leo SauerF 60%6 of 10 Pro 🔒
Tsuyoshi WatanabeD 60%6 of 10 Pro 🔒
AFC Ajax
Sean SteurM 80%8 of 10 Pro 🔒
Lucas RosaD 80%8 of 10 Pro 🔒
Davy KlaassenM 80%8 of 10 Pro 🔒
Kian Fitz-JimM 70%7 of 10 Pro 🔒
Jorthy MokioM 70%7 of 10 Pro 🔒
Youri BaasD 60%6 of 10 Pro 🔒
Mika GodtsF 60%6 of 10 Pro 🔒
Rayane BounidaF 60%6 of 10 Pro 🔒
Owen WijndalD 60%6 of 10 Pro 🔒

Feyenoord
Oussama TarghallineM 70%7 of 10 Pro 🔒
Jordan BosD 60%6 of 10 Pro 🔒
AFC Ajax
Youri BaasD 60%6 of 10 Pro 🔒
Lucas RosaD 60%6 of 10 Pro 🔒

Feyenoord
Leo SauerF 30%3 of 10 Stats only
Casper TengstedtF 30%3 of 10 Stats only
AFC Ajax
Mika GodtsF 50%5 of 10 Stats only
Davy KlaassenM 30%3 of 10 Stats only

Feyenoord
Jordan BosD 40%4 of 10 Stats only
AFC Ajax
Mika GodtsF 30%3 of 10 Stats only
Kasper DolbergF 30%3 of 10 Stats only

Feyenoord
Timon WellenreutherG 60%6 of 10 Stats only
AFC Ajax
No AFC Ajax player in this window.

Feyenoord
Timon WellenreutherG 60%6 of 10 Stats only
AFC Ajax
No AFC Ajax 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
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.