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Player stats 24/25

Leicester v Man City

Your slip follows you between games.

How often each Leicester and Man City 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 Leicester v Man City: Erling Haaland (Man City) tops the visitors for 1+ shots on target — 8 of 10 (80%). 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.

Leicester
Jamie VardyF 80%8 of 10 Pro 🔒
Stephy MavididiM 60%6 of 10 Pro 🔒
Man City
Erling HaalandF 100%10 of 10 Pro 🔒
Joško GvardiolD 100%10 of 10 Pro 🔒
Mateo KovačićM 90%9 of 10 Pro 🔒
Kevin De BruyneM 90%9 of 10 Pro 🔒
Phil FodenM 90%9 of 10 Pro 🔒
SavinhoM 60%6 of 10 Pro 🔒
Bernardo SilvaM 60%6 of 10 Pro 🔒

Leicester
Jamie VardyF 60%6 of 10 Pro 🔒
Man City
Erling HaalandF 80%8 of 10 Pro 🔒
Phil FodenM 80%8 of 10 Pro 🔒
SavinhoM 60%6 of 10 Pro 🔒
Mateo KovačićM 60%6 of 10 Pro 🔒

Leicester
No Leicester player in this window.
Man City
Erling HaalandF 80%8 of 10 Pro 🔒
SavinhoM 60%6 of 10 Pro 🔒

Leicester
Facundo BuonanotteM 100%10 of 10 Pro 🔒
Bilal El KhannoussM 70%7 of 10 Pro 🔒
Jannik VestergaardD 70%7 of 10 Pro 🔒
Jamie VardyF 70%7 of 10 Pro 🔒
Man City
Joško GvardiolD 70%7 of 10 Pro 🔒
Bernardo SilvaM 60%6 of 10 Pro 🔒
Kevin De BruyneM 60%6 of 10 Pro 🔒

Leicester
Facundo BuonanotteM 80%8 of 10 Pro 🔒
James JustinD 60%6 of 10 Pro 🔒
Man City
Phil FodenM 80%8 of 10 Pro 🔒
Bernardo SilvaM 70%7 of 10 Pro 🔒
Rico LewisD 60%6 of 10 Pro 🔒

Leicester
Facundo BuonanotteM 60%6 of 10 Pro 🔒
Man City
No Man City player in this window.

Leicester
Victor KristiansenD 80%8 of 10 Pro 🔒
Facundo BuonanotteM 80%8 of 10 Pro 🔒
Jannik VestergaardD 80%8 of 10 Pro 🔒
James JustinD 80%8 of 10 Pro 🔒
Conor CoadyD 80%8 of 10 Pro 🔒
Bilal El KhannoussM 70%7 of 10 Pro 🔒
Stephy MavididiM 70%7 of 10 Pro 🔒
Boubakary SoumaréM 70%7 of 10 Pro 🔒
Caleb OkoliD 70%7 of 10 Pro 🔒
Harry WinksM 60%6 of 10 Pro 🔒
Man City
Joško GvardiolD 90%9 of 10 Pro 🔒
Rico LewisD 70%7 of 10 Pro 🔒
Mateo KovačićM 70%7 of 10 Pro 🔒
Manuel AkanjiD 70%7 of 10 Pro 🔒
Kyle WalkerD 70%7 of 10 Pro 🔒
Bernardo SilvaM 60%6 of 10 Pro 🔒

Leicester
Victor KristiansenD 70%7 of 10 Pro 🔒
Bilal El KhannoussM 60%6 of 10 Pro 🔒
James JustinD 60%6 of 10 Pro 🔒
Man City
No Man City player in this window.

Leicester
Victor KristiansenD 60%6 of 10 Pro 🔒
James JustinD 60%6 of 10 Pro 🔒
Man City
No Man City player in this window.

Leicester
Boubakary SoumaréM 60%6 of 10 Pro 🔒
Man City
No Man City player in this window.

Leicester
Jamie VardyF 40%4 of 10 Stats only
Facundo BuonanotteM 30%3 of 10 Stats only
Man City
Erling HaalandF 30%3 of 10 Stats only
Joško GvardiolD 30%3 of 10 Stats only

Leicester
Jamie VardyF 30%3 of 10 Stats only
Man City
No Man City player in this window.

Leicester
Jakub StolarczykG 67%2 of 3 Stats only
Man City
No Man City 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-10% cards vs the league average
Michael Oliver refereed this match 3.67cards a gameleague 4.08 114games
Michael Oliver'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.