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SharpXI©
Player stats 25/26

Birmingham City v Leicester

Your slip follows you between games.

How often each Birmingham City 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 Birmingham City v Leicester: Ibrahim Osman (Birmingham City) leads the home side for 1+ shots — 9 of 10 (90%); Abdul Fatawu Issahaku (Leicester) tops the visitors on 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.

Birmingham City
Ibrahim OsmanM 90%9 of 10 Pro 🔒
Jay StansfieldM 80%8 of 10 Pro 🔒
Marvin DuckschF 80%8 of 10 Pro 🔒
Tomoki IwataD 80%8 of 10 Pro 🔒
Patrick RobertsM 70%7 of 10 Pro 🔒
Seung Ho PaikM 70%7 of 10 Pro 🔒
Christoph KlarerD 60%6 of 10 Pro 🔒
Leicester
Stephy MavididiM 80%8 of 10 Pro 🔒
Jordan AyewF 60%6 of 10 Pro 🔒
Harry WinksM 60%6 of 10 Pro 🔒

Birmingham City
Jay StansfieldM 60%6 of 10 Pro 🔒
Leicester

Birmingham City
Bright Osayi-SamuelD 70%7 of 10 Pro 🔒
Tomoki IwataD 70%7 of 10 Pro 🔒
Jay StansfieldM 60%6 of 10 Pro 🔒
Marvin DuckschF 60%6 of 10 Pro 🔒
Phil NeumannD 60%6 of 10 Pro 🔒
Christoph KlarerD 60%6 of 10 Pro 🔒
Seung Ho PaikM 60%6 of 10 Pro 🔒
Tommy DoyleM 60%6 of 10 Pro 🔒
Kai WagnerD 60%3 of 5 Pro 🔒
Leicester
Jordan AyewF 100%10 of 10 Pro 🔒
Oliver SkippM 80%8 of 10 Pro 🔒
Luke ThomasD 80%8 of 10 Pro 🔒
Harry WinksM 70%7 of 10 Pro 🔒
Ricardo PereiraD 60%6 of 10 Pro 🔒
Stephy MavididiM 60%6 of 10 Pro 🔒

Birmingham City
Tomoki IwataD 90%9 of 10 Pro 🔒
Carlos VicenteM 80%8 of 10 Pro 🔒
Kai WagnerD 80%4 of 5 Pro 🔒
Ibrahim OsmanM 70%7 of 10 Pro 🔒
Seung Ho PaikM 70%7 of 10 Pro 🔒
Patrick RobertsM 60%6 of 10 Pro 🔒
Phil NeumannD 60%6 of 10 Pro 🔒
Christoph KlarerD 60%6 of 10 Pro 🔒
Leicester
Jordan AyewF 80%8 of 10 Pro 🔒
Oliver SkippM 70%7 of 10 Pro 🔒
Patson DakaF 70%7 of 10 Pro 🔒
Ricardo PereiraD 60%6 of 10 Pro 🔒

Birmingham City
Ibrahim OsmanM 60%6 of 10 Pro 🔒
Leicester
No Leicester player in this window.

Birmingham City
Kai WagnerD 100%5 of 5 Pro 🔒
Tomoki IwataD 90%9 of 10 Pro 🔒
Seung Ho PaikM 80%8 of 10 Pro 🔒
Tommy DoyleM 70%7 of 10 Pro 🔒
Carlos VicenteM 60%6 of 10 Pro 🔒
Ibrahim OsmanM 60%6 of 10 Pro 🔒
Patrick RobertsM 60%6 of 10 Pro 🔒
Phil NeumannD 60%6 of 10 Pro 🔒
Christoph KlarerD 60%6 of 10 Pro 🔒
Leicester
Oliver SkippM 100%10 of 10 Pro 🔒
Ricardo PereiraD 90%9 of 10 Pro 🔒
Stephy MavididiM 90%9 of 10 Pro 🔒
Benjamin NelsonD 80%8 of 10 Pro 🔒
Harry WinksM 80%8 of 10 Pro 🔒
Luke ThomasD 70%7 of 10 Pro 🔒

Birmingham City
Kai WagnerD 80%4 of 5 Pro 🔒
Tomoki IwataD 60%6 of 10 Pro 🔒
Leicester
Ricardo PereiraD 80%8 of 10 Pro 🔒
Stephy MavididiM 70%7 of 10 Pro 🔒
Oliver SkippM 70%7 of 10 Pro 🔒

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

Birmingham City
Marvin DuckschF 30%3 of 10 Stats only
Leicester
Abdul Fatawu IssahakuM 30%3 of 10 Stats only

Birmingham City
No Birmingham City player in this window.
Leicester
Luke ThomasD 40%4 of 10 Stats only

Birmingham City
James BeadleG 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
John Busby refereed this match 3.80cards a gameleague 4.01 101games
John Busby'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.