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Player stats · 22/23

Man City v Sevilla

How often each Man City and Sevilla 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 Man City v Sevilla: Erik Lamela (Sevilla) tops the visitors for 1+ shots on target — 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 25/26 figures from completed matches: Last N is their last N games; Season is their whole 25/26; H2H is only games against this opponent.

Man City
Aymeric LaporteD 100%3 of 3 Pro 🔒
Kevin De BruyneM 90%9 of 10 Pro 🔒
İlkay GündoğanM 80%8 of 10 Pro 🔒
RodriM 80%8 of 10 Pro 🔒
Bernardo SilvaM 70%7 of 10 Pro 🔒
João CanceloD 70%7 of 10 Pro 🔒
Phil FodenM 60%6 of 10 Pro 🔒
Sevilla
Papu GómezF 80%8 of 10 Pro 🔒
Erik LamelaM 80%8 of 10 Pro 🔒
SusoM 75%3 of 4 Pro 🔒
Rafa MirM 71%5 of 7 Pro 🔒
Nemanja GudeljM 70%7 of 10 Pro 🔒
Marcos AcuñaD 67%6 of 9 Pro 🔒
Joan JordánM 62%5 of 8 Pro 🔒

Man City
Kevin De BruyneM 70%7 of 10 Pro 🔒
İlkay GündoğanM 60%6 of 10 Pro 🔒
Sevilla
Rafa MirM 71%5 of 7 Pro 🔒

Man City
No Man City player in this window.
Sevilla
Rafa MirM 71%5 of 7 Pro 🔒

Man City
No Man City player in this window.
Sevilla
Erik LamelaM 70%7 of 10 Pro 🔒

Man City
RodriM 90%9 of 10 Pro 🔒
Rúben DiasD 60%6 of 10 Pro 🔒
İlkay GündoğanM 60%6 of 10 Pro 🔒
Kevin De BruyneM 60%6 of 10 Pro 🔒
Sevilla
Joan JordánM 100%8 of 8 Pro 🔒
Karim RekikD 100%5 of 5 Pro 🔒
Erik LamelaM 90%9 of 10 Pro 🔒
Alex TellesD 80%8 of 10 Pro 🔒
MarcãoD 75%3 of 4 Pro 🔒
Gonzalo MontielD 71%5 of 7 Pro 🔒
Marcos AcuñaD 67%6 of 9 Pro 🔒
IscoM 60%6 of 10 Pro 🔒

Man City
No Man City player in this window.
Sevilla
Erik LamelaM 60%6 of 10 Pro 🔒
Karim RekikD 60%3 of 5 Pro 🔒

Man City
Jack GrealishF 86%6 of 7 Pro 🔒
Phil FodenM 70%7 of 10 Pro 🔒
João CanceloD 70%7 of 10 Pro 🔒
Kevin De BruyneM 60%6 of 10 Pro 🔒
Sevilla
IscoM 100%10 of 10 Pro 🔒
MarcãoD 100%4 of 4 Pro 🔒
SusoM 100%4 of 4 Pro 🔒
Erik LamelaM 70%7 of 10 Pro 🔒
Papu GómezF 60%6 of 10 Pro 🔒
Alex TellesD 60%6 of 10 Pro 🔒
Nemanja GudeljM 60%6 of 10 Pro 🔒

Man City
Jack GrealishF 71%5 of 7 Pro 🔒
Sevilla
IscoM 80%8 of 10 Pro 🔒

Man City
No Man City player in this window.
Sevilla
IscoM 70%7 of 10 Pro 🔒

Man City
Phil FodenM 30%3 of 10 Stats only
Sevilla
Erik LamelaM 30%3 of 10 Stats only

Man City
Bernardo SilvaM 50%5 of 10 Stats only
Kevin De BruyneM 50%5 of 10 Stats only
RodriM 30%3 of 10 Stats only
Sevilla
No Sevilla player in this window.

Man City
No Man City player in this window.
Sevilla
Yassine BounouG 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
Orel Grinfeeld refereed this match

5 matches on record — too few to quote a card rate against. See the 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.