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Player stats 25/26

Leicester v Bristol City

Your slip follows you between games.

How often each Leicester and Bristol 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 Bristol City: Abdul Fatawu Issahaku (Leicester) leads the home side for 1+ shots on target — 6 of 10 (60%); Scott Twine (Bristol City) 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.

Leicester
Stephy MavididiM 90%9 of 10 Pro 🔒
Patson DakaF 70%7 of 10 Pro 🔒
Jordan AyewF 60%6 of 10 Pro 🔒
Jordan JamesM 60%6 of 10 Pro 🔒
Harry WinksM 60%6 of 10 Pro 🔒
Luke ThomasD 60%6 of 10 Pro 🔒
Bristol City
Tomi HorvatF 100%6 of 6 Pro 🔒
Scott TwineF 90%9 of 10 Pro 🔒
Ross McCrorieM 70%7 of 10 Pro 🔒
Emil Riis JacobsenF 70%7 of 10 Pro 🔒
Jason KnightM 70%7 of 10 Pro 🔒
Sinclair ArmstrongF 60%6 of 10 Pro 🔒

Leicester
Bristol City
Tomi HorvatF 67%4 of 6 Pro 🔒

Leicester
Bristol City
Scott TwineF 60%6 of 10 Pro 🔒

Leicester
Oliver SkippM 80%8 of 10 Pro 🔒
Jordan AyewF 70%7 of 10 Pro 🔒
Ricardo PereiraD 70%7 of 10 Pro 🔒
Caleb OkoliD 70%7 of 10 Pro 🔒
Divine MukasaM 62%5 of 8 Pro 🔒
Jordan JamesM 60%6 of 10 Pro 🔒
Luke ThomasD 60%6 of 10 Pro 🔒
Bristol City
Sam MorsyM 100%10 of 10 Pro 🔒
Tomi HorvatF 100%6 of 6 Pro 🔒
Ross McCrorieM 70%7 of 10 Pro 🔒
Sinclair ArmstrongF 70%7 of 10 Pro 🔒
Scott TwineF 60%6 of 10 Pro 🔒
Noah EileD 60%3 of 5 Pro 🔒

Leicester
Stephy MavididiM 70%7 of 10 Pro 🔒
Oliver SkippM 70%7 of 10 Pro 🔒
Patson DakaF 70%7 of 10 Pro 🔒
Jordan AyewF 60%6 of 10 Pro 🔒
Luke ThomasD 60%6 of 10 Pro 🔒
Bristol City
Scott TwineF 70%7 of 10 Pro 🔒
Cameron PringD 70%7 of 10 Pro 🔒
Emil Riis JacobsenF 70%7 of 10 Pro 🔒
George TannerD 70%7 of 10 Pro 🔒
Jason KnightM 60%6 of 10 Pro 🔒

Leicester
Jordan JamesM 80%8 of 10 Pro 🔒
Ricardo PereiraD 80%8 of 10 Pro 🔒
Stephy MavididiM 80%8 of 10 Pro 🔒
Hamza ChoudhuryD 80%8 of 10 Pro 🔒
Caleb OkoliD 80%8 of 10 Pro 🔒
Harry WinksM 70%7 of 10 Pro 🔒
Oliver SkippM 70%7 of 10 Pro 🔒
Luke ThomasD 70%7 of 10 Pro 🔒
Divine MukasaM 62%5 of 8 Pro 🔒
Bristol City
Ross McCrorieM 100%10 of 10 Pro 🔒
George TannerD 100%10 of 10 Pro 🔒
Tomi HorvatF 83%5 of 6 Pro 🔒
Scott TwineF 80%8 of 10 Pro 🔒
Neto BorgesD 80%8 of 10 Pro 🔒
Sam MorsyM 70%7 of 10 Pro 🔒
Jason KnightM 60%6 of 10 Pro 🔒
Noah EileD 60%3 of 5 Pro 🔒

Leicester
Ricardo PereiraD 70%7 of 10 Pro 🔒
Luke ThomasD 60%6 of 10 Pro 🔒
Bristol City
George TannerD 70%7 of 10 Pro 🔒

Leicester
Ricardo PereiraD 60%6 of 10 Pro 🔒
Bristol City
No Bristol City player in this window.

Leicester
Abdul Fatawu IssahakuM 40%4 of 10 Stats only
Jordan JamesM 40%4 of 10 Stats only
Bristol City
Scott TwineF 30%3 of 10 Stats only

Leicester
Divine MukasaM 38%3 of 8 Stats only
Bristol City
Tomi HorvatF 33%2 of 6 Stats only

Leicester
Jakub StolarczykG 60%6 of 10 Stats only
Bristol City
No Bristol 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
Tom Nield refereed this match 3.87cards a gameleague 4.01 63games
Tom Nield'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.