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Player stats 26/27

Fulham v Chelsea

Your slip follows you between games.

How often each Fulham and Chelsea 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 Fulham v Chelsea: Shea Charles (Fulham) leads the home side for 1+ shots on target — 6 of 10 (60%); Enzo Fernández (Chelsea) tops the visitors on 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.

Fulham
Alex IwobiM 90%9 of 10 Pro 🔒
Rodrigo MunizF 80%8 of 10 Pro 🔒
KevinF 80%8 of 10 Pro 🔒
Shea CharlesMform earned at Southampton 80%8 of 10 Pro 🔒
Gonzalo GarcíaFform earned at Real Madrid 60%6 of 10 Pro 🔒
Timothy CastagneD 60%6 of 10 Pro 🔒
Chelsea
Morgan RogersFform earned at Aston Villa 100%10 of 10 Pro 🔒
João PedroF 100%10 of 10 Pro 🔒
Cole PalmerF 90%9 of 10 Pro 🔒
Enzo FernándezM 80%8 of 10 Pro 🔒
Pedro NetoF 70%7 of 10 Pro 🔒
Maxence LacroixDform earned at Crystal Palace 60%6 of 10 Pro 🔒

Fulham
Shea CharlesMform earned at Southampton 60%6 of 10 Pro 🔒
Alex IwobiM 60%6 of 10 Pro 🔒
Chelsea
João PedroF 100%10 of 10 Pro 🔒
Morgan RogersFform earned at Aston Villa 90%9 of 10 Pro 🔒
Cole PalmerF 70%7 of 10 Pro 🔒
Enzo FernándezM 60%6 of 10 Pro 🔒

Fulham
No Fulham player in this window.
Chelsea
João PedroF 70%7 of 10 Pro 🔒
Cole PalmerF 60%6 of 10 Pro 🔒

Fulham
Shea CharlesMform earned at Southampton 60%6 of 10 Pro 🔒
Alex IwobiM 60%6 of 10 Pro 🔒
Chelsea
Enzo FernándezM 60%6 of 10 Pro 🔒
João PedroF 60%6 of 10 Pro 🔒
Cole PalmerF 60%6 of 10 Pro 🔒

Fulham
Sander BergeM 80%8 of 10 Pro 🔒
Ryan SessegnonM 70%7 of 10 Pro 🔒
Jorge CuencaD 70%7 of 10 Pro 🔒
Antonee RobinsonD 60%6 of 10 Pro 🔒
César PalaciosMform earned at Real Madrid 60%3 of 5 Pro 🔒
Chelsea
Morgan RogersFform earned at Aston Villa 100%10 of 10 Pro 🔒
João PedroF 70%7 of 10 Pro 🔒
Roméo LaviaM 60%6 of 10 Pro 🔒
Maxence LacroixDform earned at Crystal Palace 60%6 of 10 Pro 🔒
Levi ColwillD 60%6 of 10 Pro 🔒

Fulham
Calvin BasseyD 80%8 of 10 Pro 🔒
Rodrigo MunizF 70%7 of 10 Pro 🔒
Joshua KingM 60%6 of 10 Pro 🔒
Timothy CastagneD 60%6 of 10 Pro 🔒
Antonee RobinsonD 60%6 of 10 Pro 🔒
Chelsea
João PedroF 90%9 of 10 Pro 🔒
Cole PalmerF 90%9 of 10 Pro 🔒
Morgan RogersFform earned at Aston Villa 80%8 of 10 Pro 🔒
Enzo FernándezM 80%8 of 10 Pro 🔒
Roméo LaviaM 60%6 of 10 Pro 🔒
Robert SánchezG 60%6 of 10 Pro 🔒
Levi ColwillD 60%6 of 10 Pro 🔒
Malo GustoM 60%6 of 10 Pro 🔒

Fulham
No Fulham player in this window.
Chelsea
João PedroF 70%7 of 10 Pro 🔒

Fulham
Calvin BasseyD 100%10 of 10 Pro 🔒
Sander BergeM 90%9 of 10 Pro 🔒
Timothy CastagneD 80%8 of 10 Pro 🔒
Ryan SessegnonM 80%8 of 10 Pro 🔒
Antonee RobinsonD 70%7 of 10 Pro 🔒
Jorge CuencaD 70%7 of 10 Pro 🔒
Oscar BobbM 60%6 of 10 Pro 🔒
Chelsea
Levi ColwillD 90%9 of 10 Pro 🔒
Pep ChavarríaDform earned at Rayo Vallecano 80%8 of 10 Pro 🔒
Jorrel HatoM 80%8 of 10 Pro 🔒
Enzo FernándezM 80%8 of 10 Pro 🔒
Maxence LacroixDform earned at Crystal Palace 70%7 of 10 Pro 🔒
Cole PalmerF 70%7 of 10 Pro 🔒
Reece JamesM 60%6 of 10 Pro 🔒
Morgan RogersFform earned at Aston Villa 60%6 of 10 Pro 🔒
João PedroF 60%6 of 10 Pro 🔒

Fulham
Calvin BasseyD 70%7 of 10 Pro 🔒
Antonee RobinsonD 60%6 of 10 Pro 🔒
Chelsea
Jorrel HatoM 70%7 of 10 Pro 🔒

Fulham
No Fulham player in this window.
Chelsea
Cole PalmerF 60%6 of 10 Pro 🔒

Fulham
Shea CharlesMform earned at Southampton 30%3 of 10 Stats only
Chelsea
João PedroF 40%4 of 10 Stats only

Fulham
No Fulham player in this window.
Chelsea
Pedro NetoF 30%3 of 10 Stats only

Fulham
Bernd LenoG 60%6 of 10 Stats only
Chelsea
Robert SánchezG 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+12% cards vs the league average
John Brooks refereed this match 4.59cards a gameleague 4.08 74games
John Brooks'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.