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Player stats 23/24

Bristol City v Norwich

Your slip follows you between games.

How often each Bristol City and Norwich 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 Bristol City v Norwich: Sam Bell (Bristol City) leads the home side for 1+ shots — 9 of 10 (90%); Przemysław Płacheta (Norwich) tops the visitors on 6 of 6 (100%). 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.

Bristol City
Sam BellF 90%9 of 10 Pro 🔒
Harry CornickF 70%7 of 10 Pro 🔒
Nahki WellsF 60%6 of 10 Pro 🔒
Joe WilliamsM 60%6 of 10 Pro 🔒
Norwich
Gabriel SaraM 90%9 of 10 Pro 🔒
Ashley BarnesF 70%7 of 10 Pro 🔒

Bristol City
No Bristol City player in this window.
Norwich
Gabriel SaraM 70%7 of 10 Pro 🔒
Ashley BarnesF 60%6 of 10 Pro 🔒

Bristol City
No Bristol City player in this window.
Norwich
Gabriel SaraM 60%6 of 10 Pro 🔒

Bristol City
Matty JamesM 70%7 of 10 Pro 🔒
Joe WilliamsM 70%7 of 10 Pro 🔒
Rob DickieD 70%7 of 10 Pro 🔒
Nahki WellsF 60%6 of 10 Pro 🔒
Norwich
Ashley BarnesF 60%6 of 10 Pro 🔒
Jack StaceyD 60%6 of 10 Pro 🔒

Bristol City
Mark SykesM 80%8 of 10 Pro 🔒
George TannerD 80%8 of 10 Pro 🔒
Jason KnightM 75%3 of 4 Pro 🔒
Nahki WellsF 60%6 of 10 Pro 🔒
Matty JamesM 60%6 of 10 Pro 🔒
Norwich
Gabriel SaraM 60%6 of 10 Pro 🔒

Bristol City
Jason KnightM 100%4 of 4 Pro 🔒
Harry CornickF 90%9 of 10 Pro 🔒
Matty JamesM 90%9 of 10 Pro 🔒
George TannerD 80%8 of 10 Pro 🔒
Joe WilliamsM 70%7 of 10 Pro 🔒
Kal NaismithD 60%6 of 10 Pro 🔒
Norwich
Gabriel SaraM 100%10 of 10 Pro 🔒
Adam ForshawMform earned at Leeds United 60%6 of 10 Pro 🔒
Jack StaceyD 60%6 of 10 Pro 🔒
Sam McCallumD 60%6 of 10 Pro 🔒

Bristol City
Jason KnightM 75%3 of 4 Pro 🔒
Matty JamesM 60%6 of 10 Pro 🔒
Norwich
Gabriel SaraM 80%8 of 10 Pro 🔒

Bristol City
Sam BellF 30%3 of 10 Stats only
Norwich
Ashley BarnesF 30%3 of 10 Stats only
Adam IdahF 30%3 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
Sam Allison refereed this match

4 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.