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SharpXI©
Player stats 26/27

PSV Eindhoven v Feyenoord

Your slip follows you between games.

How often each PSV Eindhoven 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 PSV Eindhoven v Feyenoord on Sun 25 Oct: Ricardo Pepi (PSV Eindhoven) leads the home side for 1+ shots on target — 8 of 10 (80%); Luciano Valente (Feyenoord) tops the visitors on 7 of 10 (70%). Raw hit rates from recent matches, not odds.

Predicted line-up — not the team sheet Our best guess at the shape, from recent selections. Team sheets usually land about an hour before kick-off.
What sits behind these numbers

Line-ups aren't confirmed, so the players shown are a likely XI from each club's recent selections — injuries and suspensions are filtered out where we know them. Hit rates are their recent form, not a forecast for this match. These players joined recently, and the games behind these rates were played elsewhere: Alassane Pléa (Borussia M'gladbach), Sam Lammers (FC Twente) — read as prior form, not this club's.

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.

PSV Eindhoven
Kodai SanoM 90%9 of 10 Pro 🔒
Sam LammersFform earned at FC Twente 90%9 of 10 Pro 🔒
Ricardo PepiF 90%9 of 10 Pro 🔒
Sven MijnansF 80%8 of 10 Pro 🔒
Alassane PléaFform earned at Borussia M'gladbach 70%7 of 10 Pro 🔒
Mauro JúniorD 70%7 of 10 Pro 🔒
Noah FernandezM 60%6 of 10 Pro 🔒
Amir BouhamdiF 60%3 of 5 Pro 🔒
Feyenoord
Luciano ValenteF 100%10 of 10 Pro 🔒
Anis Hadj MoussaF 100%10 of 10 Pro 🔒
Jordan BosD 90%9 of 10 Pro 🔒
Jakub ModerM 80%8 of 10 Pro 🔒
Givairo ReadD 70%7 of 10 Pro 🔒
Gaoussou DiarraF 70%7 of 10 Pro 🔒
Gonçalo BorgesF 70%7 of 10 Pro 🔒
Nacho FerriF 60%6 of 10 Pro 🔒
Gijs SmalD 60%6 of 10 Pro 🔒
Tsuyoshi WatanabeD 60%6 of 10 Pro 🔒
Sem SteijnM 60%6 of 10 Pro 🔒

PSV Eindhoven
Ricardo PepiF 80%8 of 10 Pro 🔒
Sven MijnansF 70%7 of 10 Pro 🔒
Sam LammersFform earned at FC Twente 60%6 of 10 Pro 🔒
Amir BouhamdiF 60%3 of 5 Pro 🔒
Feyenoord
Anis Hadj MoussaF 90%9 of 10 Pro 🔒
Jakub ModerM 70%7 of 10 Pro 🔒
Luciano ValenteF 60%6 of 10 Pro 🔒
Gaoussou DiarraF 60%6 of 10 Pro 🔒

PSV Eindhoven
No PSV Eindhoven player in this window.
Feyenoord
Anis Hadj MoussaF 70%7 of 10 Pro 🔒

PSV Eindhoven
Ricardo PepiF 80%8 of 10 Pro 🔒
Feyenoord
Luciano ValenteF 70%7 of 10 Pro 🔒
Anis Hadj MoussaF 70%7 of 10 Pro 🔒
Jakub ModerM 60%6 of 10 Pro 🔒
Sem SteijnM 60%6 of 10 Pro 🔒

PSV Eindhoven
Kiliann SildilliaD 70%7 of 10 Pro 🔒
Kodai SanoM 70%7 of 10 Pro 🔒
Ayoni SantosM 70%7 of 10 Pro 🔒
Armando ObispoD 70%7 of 10 Pro 🔒
Noah FernandezM 60%6 of 10 Pro 🔒
Feyenoord
Jordan BosD 80%8 of 10 Pro 🔒
Jakub ModerM 70%7 of 10 Pro 🔒
Charles VanhoutteM 70%7 of 10 Pro 🔒
Anis Hadj MoussaF 60%6 of 10 Pro 🔒
Givairo ReadD 60%6 of 10 Pro 🔒

PSV Eindhoven
Ayoni SantosM 70%7 of 10 Pro 🔒
Sergiño DestD 70%7 of 10 Pro 🔒
Alassane PléaFform earned at Borussia M'gladbach 60%6 of 10 Pro 🔒
Sam LammersFform earned at FC Twente 60%6 of 10 Pro 🔒
Feyenoord
Luciano ValenteF 80%8 of 10 Pro 🔒
Givairo ReadD 80%8 of 10 Pro 🔒
Jakub ModerM 70%7 of 10 Pro 🔒
Anis Hadj MoussaF 60%6 of 10 Pro 🔒
Mats DeijlD 60%6 of 10 Pro 🔒
Gijs SmalD 60%6 of 10 Pro 🔒

PSV Eindhoven
Mauro JúniorD 100%10 of 10 Pro 🔒
Ayoni SantosM 90%9 of 10 Pro 🔒
Jerdy SchoutenD 90%9 of 10 Pro 🔒
Kodai SanoM 80%8 of 10 Pro 🔒
Noah FernandezM 80%8 of 10 Pro 🔒
Amir BouhamdiF 80%4 of 5 Pro 🔒
Ryan FlamingoD 70%7 of 10 Pro 🔒
Armando ObispoD 70%7 of 10 Pro 🔒
Sergiño DestD 70%7 of 10 Pro 🔒
Kiliann SildilliaD 60%6 of 10 Pro 🔒
Sven MijnansF 60%6 of 10 Pro 🔒
Feyenoord
Jordan BosD 100%10 of 10 Pro 🔒
Mika MármolD 100%10 of 10 Pro 🔒
Givairo ReadD 90%9 of 10 Pro 🔒
Jakub ModerM 90%9 of 10 Pro 🔒
Charles VanhoutteM 90%9 of 10 Pro 🔒
Oussama TarghallineM 70%7 of 10 Pro 🔒
Jeremiah St JusteD 70%7 of 10 Pro 🔒
Mats DeijlD 70%7 of 10 Pro 🔒
Bart NieuwkoopD 70%7 of 10 Pro 🔒
Javi LópezD 70%7 of 10 Pro 🔒
Luciano ValenteF 60%6 of 10 Pro 🔒
Gijs SmalD 60%6 of 10 Pro 🔒
Gonçalo BorgesF 60%6 of 10 Pro 🔒

PSV Eindhoven
Noah FernandezM 70%7 of 10 Pro 🔒
Jerdy SchoutenD 70%7 of 10 Pro 🔒
Mauro JúniorD 70%7 of 10 Pro 🔒
Ayoni SantosM 60%6 of 10 Pro 🔒
Feyenoord
Oussama TarghallineM 60%6 of 10 Pro 🔒
Givairo ReadD 60%6 of 10 Pro 🔒
Mats DeijlD 60%6 of 10 Pro 🔒
Jakub ModerM 60%6 of 10 Pro 🔒
Charles VanhoutteM 60%6 of 10 Pro 🔒
Mika MármolD 60%6 of 10 Pro 🔒

PSV Eindhoven
Ricardo PepiF 60%6 of 10 Stats only
Alassane PléaFform earned at Borussia M'gladbach 30%3 of 10 Stats only
Sven MijnansF 30%3 of 10 Stats only
Feyenoord
Anis Hadj MoussaF 50%5 of 10 Stats only
Luciano ValenteF 40%4 of 10 Stats only
Nacho FerriF 30%3 of 10 Stats only

PSV Eindhoven
Sam LammersFform earned at FC Twente 30%3 of 10 Stats only
Sergiño DestD 30%3 of 10 Stats only
Feyenoord
Jordan BosD 30%3 of 10 Stats only

PSV Eindhoven
Nick OlijG 70%7 of 10 Stats only
Feyenoord
No Feyenoord 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

Not appointed yet — referees are usually confirmed two to three days before kick-off. See the referee panel

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.