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Player stats 25/26

Norwich v Leicester

Your slip follows you between games.

How often each Norwich and Leicester 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 Norwich v Leicester: Josh Sargent (Norwich) leads the home side for 1+ shots — 9 of 10 (90%); Abdul Fatawu Issahaku (Leicester) tops the visitors on 9 of 10 (90%). 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.

Norwich
Josh SargentF 90%9 of 10 Pro 🔒
Jovon MakamaM 70%7 of 10 Pro 🔒
Pelle MattssonM 62%5 of 8 Pro 🔒
Oscar SchwartauM 60%6 of 10 Pro 🔒
Mirko TopićM 60%6 of 10 Pro 🔒
Leicester
Jordan JamesM 70%7 of 10 Pro 🔒
Harry WinksM 70%7 of 10 Pro 🔒
Jordan AyewM 60%6 of 10 Pro 🔒
Patson DakaF 60%6 of 10 Pro 🔒

Norwich
Josh SargentF 70%7 of 10 Pro 🔒
Leicester

Norwich
No Norwich player in this window.
Leicester

Norwich
Pelle MattssonM 75%6 of 8 Pro 🔒
Kellen FisherD 70%7 of 10 Pro 🔒
Leicester
Ricardo PereiraD 70%7 of 10 Pro 🔒
Harry WinksM 70%7 of 10 Pro 🔒
Luke ThomasD 70%7 of 10 Pro 🔒
Jordan AyewM 60%6 of 10 Pro 🔒
Oliver SkippM 60%6 of 10 Pro 🔒
Caleb OkoliD 60%6 of 10 Pro 🔒

Norwich
Kenny McLeanD 100%10 of 10 Pro 🔒
Harry DarlingD 100%10 of 10 Pro 🔒
Pelle MattssonM 88%7 of 8 Pro 🔒
Josh SargentF 80%8 of 10 Pro 🔒
Forson AmankwahM 60%6 of 10 Pro 🔒
Jakov MedićD 60%6 of 10 Pro 🔒
Leicester
Jordan AyewM 90%9 of 10 Pro 🔒

Norwich
Kenny McLeanD 60%6 of 10 Pro 🔒
Leicester
No Leicester player in this window.

Norwich
Kellen FisherD 80%8 of 10 Pro 🔒
Pelle MattssonM 75%6 of 8 Pro 🔒
Oscar SchwartauM 70%7 of 10 Pro 🔒
Kenny McLeanD 70%7 of 10 Pro 🔒
Harry DarlingD 70%7 of 10 Pro 🔒
Mirko TopićM 70%7 of 10 Pro 🔒
Leicester
Ricardo PereiraD 90%9 of 10 Pro 🔒
Jordan AyewM 80%8 of 10 Pro 🔒
Benjamin NelsonD 80%8 of 10 Pro 🔒
Harry WinksM 80%8 of 10 Pro 🔒
Jannik VestergaardD 70%7 of 10 Pro 🔒
Stephy MavididiF 70%7 of 10 Pro 🔒
Oliver SkippM 70%7 of 10 Pro 🔒
Caleb OkoliD 60%6 of 10 Pro 🔒
Luke ThomasD 60%6 of 10 Pro 🔒

Norwich
Pelle MattssonM 62%5 of 8 Pro 🔒
Leicester
Ricardo PereiraD 60%6 of 10 Pro 🔒

Norwich
Jovon MakamaM 30%3 of 10 Stats only
Leicester
No Leicester player in this window.

Norwich
Vladan KovačevićG 60%6 of 10 Stats only
Leicester
No Leicester 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-15% cards vs the league average
Dean Whitestone refereed this match 3.41cards a gameleague 4.01 87games
Dean Whitestone'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.