Updated daily through the season. Spot something off? Tell usUpdated daily. Tell us
SharpXI©
Player stats 24/25

Tottenham v AS Roma

Your slip follows you between games.

How often each Tottenham and AS Roma 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 AS Roma: Brennan Johnson (Tottenham) leads the home side for 1+ shots on target — 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 25/26 figures from completed matches: Last N is their last N games; Season is their whole 25/26; H2H is only games against this opponent.

Tottenham
Brennan JohnsonF 100%10 of 10 Pro 🔒
Son Heung-minF 90%9 of 10 Pro 🔒
Dominic SolankeF 90%9 of 10 Pro 🔒
Pedro PorroD 80%8 of 10 Pro 🔒
Dejan KulusevskiM 80%8 of 10 Pro 🔒
James MaddisonM 70%7 of 10 Pro 🔒
AS Roma
Artem DovbykF 100%10 of 10 Pro 🔒
Matías SouléF 90%9 of 10 Pro 🔒
Paulo DybalaF 90%9 of 10 Pro 🔒
Leandro ParedesM 60%6 of 10 Pro 🔒

Tottenham
Brennan JohnsonF 90%9 of 10 Pro 🔒
James MaddisonM 60%6 of 10 Pro 🔒
Dominic SolankeF 60%6 of 10 Pro 🔒
AS Roma
Matías SouléF 60%6 of 10 Pro 🔒
Artem DovbykF 60%6 of 10 Pro 🔒

Tottenham
Brennan JohnsonF 70%7 of 10 Pro 🔒
AS Roma
No AS Roma player in this window.

Tottenham
Brennan JohnsonF 80%8 of 10 Pro 🔒
James MaddisonM 70%7 of 10 Pro 🔒
Son Heung-minF 60%6 of 10 Pro 🔒
Dominic SolankeF 60%6 of 10 Pro 🔒
Dejan KulusevskiM 60%6 of 10 Pro 🔒
AS Roma
No AS Roma player in this window.

Tottenham
Dominic SolankeF 80%8 of 10 Pro 🔒
Dejan KulusevskiM 80%8 of 10 Pro 🔒
Rodrigo BentancurM 70%7 of 10 Pro 🔒
Pape Matar SarrM 60%6 of 10 Pro 🔒
Brennan JohnsonF 60%6 of 10 Pro 🔒
James MaddisonM 60%6 of 10 Pro 🔒
AS Roma
Gianluca ManciniD 80%8 of 10 Pro 🔒
Evan NdickaD 80%8 of 10 Pro 🔒
AngeliñoM 80%8 of 10 Pro 🔒
Manu KonéM 70%7 of 10 Pro 🔒

Tottenham
Dominic SolankeF 60%6 of 10 Pro 🔒
AS Roma
No AS Roma player in this window.

Tottenham
Dominic SolankeF 90%9 of 10 Pro 🔒
Dejan KulusevskiM 90%9 of 10 Pro 🔒
Son Heung-minF 80%8 of 10 Pro 🔒
James MaddisonM 80%8 of 10 Pro 🔒
Pedro PorroD 80%8 of 10 Pro 🔒
Pape Matar SarrM 70%7 of 10 Pro 🔒
Yves BissoumaM 70%7 of 10 Pro 🔒
Ben DaviesD 70%7 of 10 Pro 🔒
Radu DrăguşinD 60%6 of 10 Pro 🔒
AS Roma
Matías SouléF 90%9 of 10 Pro 🔒
Paulo DybalaF 90%9 of 10 Pro 🔒
Manu KonéM 90%9 of 10 Pro 🔒
Alexis SaelemaekersF 80%8 of 10 Pro 🔒
Nicola ZalewskiM 70%7 of 10 Pro 🔒
Gianluca ManciniD 60%6 of 10 Pro 🔒
Evan NdickaD 60%6 of 10 Pro 🔒

Tottenham
James MaddisonM 60%6 of 10 Pro 🔒
Dominic SolankeF 60%6 of 10 Pro 🔒
AS Roma
Manu KonéM 80%8 of 10 Pro 🔒
Matías SouléF 60%6 of 10 Pro 🔒

Tottenham
Yves BissoumaM 90%9 of 10 Pro 🔒
Pedro PorroD 90%9 of 10 Pro 🔒
Brennan JohnsonF 70%7 of 10 Pro 🔒
James MaddisonM 70%7 of 10 Pro 🔒
Rodrigo BentancurM 70%7 of 10 Pro 🔒
Dejan KulusevskiM 60%6 of 10 Pro 🔒
Ben DaviesD 60%6 of 10 Pro 🔒
AS Roma
Zeki ÇelikM 90%9 of 10 Pro 🔒
Gianluca ManciniD 80%8 of 10 Pro 🔒
Evan NdickaD 80%8 of 10 Pro 🔒
AngeliñoM 80%8 of 10 Pro 🔒
Mats HummelsD 70%7 of 10 Pro 🔒
Stephan El ShaarawyF 70%7 of 10 Pro 🔒
Alexis SaelemaekersF 70%7 of 10 Pro 🔒
Manu KonéM 70%7 of 10 Pro 🔒
Leandro ParedesM 60%6 of 10 Pro 🔒

Tottenham
Pedro PorroD 70%7 of 10 Pro 🔒
James MaddisonM 60%6 of 10 Pro 🔒
AS Roma
Zeki ÇelikM 70%7 of 10 Pro 🔒
Mats HummelsD 60%6 of 10 Pro 🔒

Tottenham
Brennan JohnsonF 50%5 of 10 Stats only
James MaddisonM 40%4 of 10 Stats only
Dominic SolankeF 30%3 of 10 Stats only
AS Roma
Artem DovbykF 40%4 of 10 Stats only

Tottenham
Son Heung-minF 40%4 of 10 Stats only
AS Roma
No AS Roma 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
Glenn Nyberg refereed this match

8 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.