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SharpXI©
Player stats 26/27

Tottenham v Coventry City

Your slip follows you between games.

How often each Tottenham and Coventry 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 Tottenham v Coventry City on Mon 19 Oct: Haji Wright (Coventry City) tops the visitors for 1+ shots on target — 6 of 10 (60%). Raw hit rates from recent matches, not odds.

Predicted line-up — not the team sheet Our best guess at the shape, from recent selections. Team sheets usually land about an hour before kick-off.
What sits behind these numbers

Line-ups aren't confirmed, so the players shown are a likely XI from each club's recent selections — injuries and suspensions are filtered out where we know them. Hit rates are their recent form, not a forecast for this match. Yann Gboho joined recently, and every game behind that rate was played for Toulouse — read as prior form, not this club's.

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.

Tottenham
Omar MarmoushF 100%10 of 10 Pro 🔒
Pedro PorroD 90%9 of 10 Pro 🔒
Mathys TelF 80%8 of 10 Pro 🔒
RicharlisonF 80%8 of 10 Pro 🔒
Mateus FernandesM 70%7 of 10 Pro 🔒
Dominic SolankeF 70%7 of 10 Pro 🔒
Sandro TonaliM 70%7 of 10 Pro 🔒
Conor GallagherM 70%7 of 10 Pro 🔒
Dejan KulusevskiF 70%7 of 10 Pro 🔒
Xavi SimonsM 70%7 of 10 Pro 🔒
SávioF 60%6 of 10 Pro 🔒
Wilson OdobertF 60%6 of 10 Pro 🔒
Andy RobertsonD 60%6 of 10 Pro 🔒
Mohammed KudusM 60%6 of 10 Pro 🔒
Coventry City
Jack RudoniF 100%10 of 10 Pro 🔒
Loum TchaounaF 90%9 of 10 Pro 🔒
Bobby ThomasD 80%8 of 10 Pro 🔒
Taiwo AwoniyiF 80%8 of 10 Pro 🔒
Haji WrightF 80%8 of 10 Pro 🔒
Yann GbohoMform earned at Toulouse 80%8 of 10 Pro 🔒
Gustavo HamerM 70%7 of 10 Pro 🔒
Ephron Mason-ClarkF 70%7 of 10 Pro 🔒
Ellis SimmsF 70%7 of 10 Pro 🔒
Josh EcclesM 60%6 of 10 Pro 🔒
Tatsuhiro SakamotoM 60%6 of 10 Pro 🔒

Tottenham
RicharlisonF 70%7 of 10 Pro 🔒
Pedro PorroD 70%7 of 10 Pro 🔒
Sandro TonaliM 60%6 of 10 Pro 🔒
Coventry City
Haji WrightF 60%6 of 10 Pro 🔒
Gustavo HamerM 60%6 of 10 Pro 🔒
Yann GbohoMform earned at Toulouse 60%6 of 10 Pro 🔒

Tottenham
No Tottenham player in this window.
Coventry City
Haji WrightF 60%6 of 10 Pro 🔒
Gustavo HamerM 60%6 of 10 Pro 🔒

Tottenham
Conor GallagherM 90%9 of 10 Pro 🔒
Mateus FernandesM 80%8 of 10 Pro 🔒
Rodrigo BentancurM 80%8 of 10 Pro 🔒
RicharlisonF 80%8 of 10 Pro 🔒
Mathys TelF 70%7 of 10 Pro 🔒
Dejan KulusevskiF 70%7 of 10 Pro 🔒
Omar MarmoushF 60%6 of 10 Pro 🔒
Pedro PorroD 60%6 of 10 Pro 🔒
Destiny UdogieD 60%6 of 10 Pro 🔒
Coventry City
Frank OnyekaM 90%9 of 10 Pro 🔒
Aurèle AmendaD 90%9 of 10 Pro 🔒
Ephron Mason-ClarkF 80%8 of 10 Pro 🔒
Caleb YirenkyiD 80%4 of 5 Pro 🔒
Taiwo AwoniyiF 60%6 of 10 Pro 🔒
Gustavo HamerM 60%6 of 10 Pro 🔒
Joel LatibeaudiereD 60%6 of 10 Pro 🔒

Tottenham
No Tottenham player in this window.
Coventry City
Ephron Mason-ClarkF 60%6 of 10 Pro 🔒

Tottenham
Marcos SenesiD 90%9 of 10 Pro 🔒
Conor GallagherM 80%8 of 10 Pro 🔒
Destiny UdogieD 80%8 of 10 Pro 🔒
RicharlisonF 70%7 of 10 Pro 🔒
Omar MarmoushF 70%7 of 10 Pro 🔒
Sandro TonaliM 70%7 of 10 Pro 🔒
Pedro PorroD 70%7 of 10 Pro 🔒
Xavi SimonsM 70%7 of 10 Pro 🔒
Wilson OdobertF 60%6 of 10 Pro 🔒
James MaddisonM 60%6 of 10 Pro 🔒
Dominic SolankeF 60%6 of 10 Pro 🔒
Mohammed KudusM 60%6 of 10 Pro 🔒
Coventry City
Frank OnyekaM 90%9 of 10 Pro 🔒
Bobby ThomasD 80%8 of 10 Pro 🔒
Ephron Mason-ClarkF 70%7 of 10 Pro 🔒
Yann GbohoMform earned at Toulouse 70%7 of 10 Pro 🔒
Tatsuhiro SakamotoM 70%7 of 10 Pro 🔒
Jack RudoniF 70%7 of 10 Pro 🔒
Sidiki CherifF 60%6 of 10 Pro 🔒
Matt GrimesM 60%6 of 10 Pro 🔒
Josh EcclesM 60%6 of 10 Pro 🔒
Caleb YirenkyiD 60%3 of 5 Pro 🔒

Tottenham
No Tottenham player in this window.
Coventry City
Frank OnyekaM 70%7 of 10 Pro 🔒

Tottenham
No Tottenham player in this window.
Coventry City
Frank OnyekaM 60%6 of 10 Pro 🔒

Tottenham
Rodrigo BentancurM 100%10 of 10 Pro 🔒
Pedro PorroD 100%10 of 10 Pro 🔒
Mateus FernandesM 90%9 of 10 Pro 🔒
Sandro TonaliM 80%8 of 10 Pro 🔒
Conor GallagherM 80%8 of 10 Pro 🔒
Dejan KulusevskiF 80%8 of 10 Pro 🔒
Destiny UdogieD 80%8 of 10 Pro 🔒
Marcos SenesiD 70%7 of 10 Pro 🔒
Xavi SimonsM 60%6 of 10 Pro 🔒
Coventry City
Stephen MfuniD 100%9 of 9 Pro 🔒
Frank OnyekaM 80%8 of 10 Pro 🔒
Jack RudoniF 80%8 of 10 Pro 🔒
Bobby ThomasD 70%7 of 10 Pro 🔒
Matt GrimesM 70%7 of 10 Pro 🔒
Ethan PinnockD 70%7 of 10 Pro 🔒
Yann GbohoMform earned at Toulouse 70%7 of 10 Pro 🔒
Milan van EwijkM 70%7 of 10 Pro 🔒
Josh EcclesM 60%6 of 10 Pro 🔒
Tatsuhiro SakamotoM 60%6 of 10 Pro 🔒
Aurèle AmendaD 60%6 of 10 Pro 🔒

Tottenham
Rodrigo BentancurM 90%9 of 10 Pro 🔒
Conor GallagherM 70%7 of 10 Pro 🔒
Mateus FernandesM 60%6 of 10 Pro 🔒
Coventry City
No Coventry City player in this window.

Tottenham
Rodrigo BentancurM 60%6 of 10 Pro 🔒
Coventry City
No Coventry City player in this window.

Tottenham
RicharlisonF 30%3 of 10 Stats only
Coventry City
Haji WrightF 30%3 of 10 Stats only
Gustavo HamerM 30%3 of 10 Stats only
Tatsuhiro SakamotoM 30%3 of 10 Stats only

Tottenham
No Tottenham player in this window.
Coventry City
Victor TorpM 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

Not appointed yet — referees are usually confirmed two to three days before kick-off. See the referee panel

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.