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Player stats 26/27

Arsenal v Chelsea

Your slip follows you between games.

How often each Arsenal 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 Arsenal v Chelsea: Bukayo Saka (Arsenal) leads the home side for 1+ shots on target — 6 of 10 (60%); Danny Welbeck (Chelsea) 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.

Arsenal
Bukayo SakaM 100%10 of 10 Pro 🔒
Gabriel MagalhãesD 80%8 of 10 Pro 🔒
Christos TzolisM 70%7 of 10 Pro 🔒
Mikel MerinoM 70%7 of 10 Pro 🔒
Viktor GyökeresF 70%7 of 10 Pro 🔒
Kai HavertzF 70%7 of 10 Pro 🔒
Martin ØdegaardM 60%6 of 10 Pro 🔒
Chelsea
Morgan RogersF 100%10 of 10 Pro 🔒
João PedroF 100%10 of 10 Pro 🔒
Cole PalmerF 90%9 of 10 Pro 🔒
Danny WelbeckFform earned at Brighton & Hove Albion 80%8 of 10 Pro 🔒
Pedro NetoM 80%8 of 10 Pro 🔒

Arsenal
Bukayo SakaM 80%8 of 10 Pro 🔒
Christos TzolisM 60%6 of 10 Pro 🔒
Chelsea
João PedroF 100%10 of 10 Pro 🔒
Morgan RogersF 90%9 of 10 Pro 🔒
Cole PalmerF 80%8 of 10 Pro 🔒
Danny WelbeckFform earned at Brighton & Hove Albion 70%7 of 10 Pro 🔒

Arsenal
No Arsenal player in this window.
Chelsea
Cole PalmerF 80%8 of 10 Pro 🔒
João PedroF 70%7 of 10 Pro 🔒

Arsenal
Bukayo SakaM 60%6 of 10 Pro 🔒
Chelsea
Danny WelbeckFform earned at Brighton & Hove Albion 70%7 of 10 Pro 🔒
Cole PalmerF 70%7 of 10 Pro 🔒
João PedroF 60%6 of 10 Pro 🔒

Arsenal
Mikel MerinoM 70%7 of 10 Pro 🔒
Kai HavertzF 70%7 of 10 Pro 🔒
Gabriel MagalhãesD 70%7 of 10 Pro 🔒
Bukayo SakaM 70%7 of 10 Pro 🔒
Christos TzolisM 60%6 of 10 Pro 🔒
Myles Lewis-SkellyM 60%6 of 10 Pro 🔒
Martín ZubimendiM 60%6 of 10 Pro 🔒
Chelsea
Morgan RogersF 100%10 of 10 Pro 🔒
João PedroF 80%8 of 10 Pro 🔒
Wesley FofanaD 70%7 of 10 Pro 🔒
Pedro NetoM 60%6 of 10 Pro 🔒

Arsenal
Gabriel MagalhãesD 80%8 of 10 Pro 🔒
Myles Lewis-SkellyM 70%7 of 10 Pro 🔒
Christos TzolisM 60%6 of 10 Pro 🔒
David RayaG 60%6 of 10 Pro 🔒
Viktor GyökeresF 60%6 of 10 Pro 🔒
Ezri KonsaD 60%6 of 10 Pro 🔒
Bukayo SakaM 60%6 of 10 Pro 🔒
Chelsea
Morgan RogersF 90%9 of 10 Pro 🔒
João PedroF 90%9 of 10 Pro 🔒
Cole PalmerF 90%9 of 10 Pro 🔒
Wesley FofanaD 70%7 of 10 Pro 🔒

Arsenal
No Arsenal player in this window.
Chelsea
João PedroF 80%8 of 10 Pro 🔒

Arsenal
Piero HincapiéD 80%8 of 10 Pro 🔒
Declan RiceM 80%8 of 10 Pro 🔒
Gabriel MagalhãesD 80%8 of 10 Pro 🔒
Martín ZubimendiM 80%8 of 10 Pro 🔒
Bukayo SakaM 70%7 of 10 Pro 🔒
Christos TzolisM 60%6 of 10 Pro 🔒
Chelsea
Maxence LacroixD 90%9 of 10 Pro 🔒
Jorrel HatoM 80%8 of 10 Pro 🔒
Morgan RogersF 80%8 of 10 Pro 🔒
Pep ChavarríaD 70%7 of 10 Pro 🔒
Cole PalmerF 70%7 of 10 Pro 🔒
Josh AcheampongD 60%6 of 10 Pro 🔒
João PedroF 60%6 of 10 Pro 🔒
Malo GustoD 60%6 of 10 Pro 🔒

Arsenal
No Arsenal player in this window.
Chelsea
Jorrel HatoM 70%7 of 10 Pro 🔒
Morgan RogersF 60%6 of 10 Pro 🔒

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

Arsenal
Bukayo SakaM 40%4 of 10 Stats only
Viktor GyökeresF 30%3 of 10 Stats only
Kai HavertzF 30%3 of 10 Stats only
Chelsea
João PedroF 40%4 of 10 Stats only
Morgan RogersF 30%3 of 10 Stats only
Cole PalmerF 30%3 of 10 Stats only

Arsenal
Martin ØdegaardM 30%3 of 10 Stats only
Chelsea
Pedro NetoM 30%3 of 10 Stats only
João PedroF 30%3 of 10 Stats only

Arsenal
No Arsenal player in this window.
Chelsea
Emiliano MartínezG 80%8 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
Chris Kavanagh refereed this match 4.23cards a gameleague 4.08 90games
Chris Kavanagh'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.