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SharpXI©
Player stats 25/26

AS Roma v FC Midtjylland

Your slip follows you between games.

How often each AS Roma and FC Midtjylland 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 AS Roma v FC Midtjylland: Paulo Dybala (AS Roma) leads the home side for 1+ shots on target — 7 of 10 (70%). 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.

AS Roma
Bryan CristanteM 100%10 of 10 Pro 🔒
Paulo DybalaF 90%9 of 10 Pro 🔒
Matías SouléF 80%8 of 10 Pro 🔒
Lorenzo PellegriniF 80%8 of 10 Pro 🔒
Zeki ÇelikM 70%7 of 10 Pro 🔒
Leon BaileyF 60%6 of 10 Pro 🔒
FC Midtjylland
No FC Midtjylland player in this window.

AS Roma
Bryan CristanteM 60%6 of 10 Pro 🔒
Paulo DybalaF 60%6 of 10 Pro 🔒
Lorenzo PellegriniF 60%6 of 10 Pro 🔒
FC Midtjylland
No FC Midtjylland player in this window.

AS Roma
Paulo DybalaF 70%7 of 10 Pro 🔒
Matías SouléF 60%6 of 10 Pro 🔒
Lorenzo PellegriniF 60%6 of 10 Pro 🔒
FC Midtjylland
No FC Midtjylland player in this window.

AS Roma
Gianluca ManciniD 90%9 of 10 Pro 🔒
Manu KonéM 90%9 of 10 Pro 🔒
WesleyM 80%8 of 10 Pro 🔒
Daniele GhilardiD 80%8 of 10 Pro 🔒
Bryan CristanteM 80%8 of 10 Pro 🔒
Evan NdickaD 80%8 of 10 Pro 🔒
Lorenzo PellegriniF 60%6 of 10 Pro 🔒
Zeki ÇelikM 60%6 of 10 Pro 🔒
FC Midtjylland
Kevin MbabuMform earned at FC Augsburg 100%10 of 10 Pro 🔒
Martin ErlićDform earned at Bologna 60%6 of 10 Pro 🔒

AS Roma
Gianluca ManciniD 80%8 of 10 Pro 🔒
FC Midtjylland
Kevin MbabuMform earned at FC Augsburg 70%7 of 10 Pro 🔒

AS Roma
Lorenzo PellegriniF 90%9 of 10 Pro 🔒
WesleyM 80%8 of 10 Pro 🔒
Paulo DybalaF 80%8 of 10 Pro 🔒
Matías SouléF 70%7 of 10 Pro 🔒
Daniele GhilardiD 70%7 of 10 Pro 🔒
Gianluca ManciniD 70%7 of 10 Pro 🔒
Evan NdickaD 70%7 of 10 Pro 🔒
Manu KonéM 70%7 of 10 Pro 🔒
FC Midtjylland
Kevin MbabuMform earned at FC Augsburg 60%6 of 10 Pro 🔒

AS Roma
WesleyM 60%6 of 10 Pro 🔒
Evan NdickaD 60%6 of 10 Pro 🔒
Manu KonéM 60%6 of 10 Pro 🔒
FC Midtjylland
No FC Midtjylland player in this window.

AS Roma
Manu KonéM 60%6 of 10 Pro 🔒
FC Midtjylland
No FC Midtjylland player in this window.

AS Roma
WesleyM 90%9 of 10 Pro 🔒
Bryan CristanteM 90%9 of 10 Pro 🔒
Daniele GhilardiD 80%8 of 10 Pro 🔒
Gianluca ManciniD 80%8 of 10 Pro 🔒
Kostas TsimikasD 70%7 of 10 Pro 🔒
Zeki ÇelikM 70%7 of 10 Pro 🔒
Evan NdickaD 60%6 of 10 Pro 🔒
Manu KonéM 60%6 of 10 Pro 🔒
FC Midtjylland
Kevin MbabuMform earned at FC Augsburg 90%9 of 10 Pro 🔒

AS Roma
WesleyM 60%6 of 10 Pro 🔒
FC Midtjylland
No FC Midtjylland player in this window.

AS Roma
Matías SouléF 30%3 of 10 Stats only
FC Midtjylland
No FC Midtjylland player in this window.

AS Roma
Mile SvilarG 60%6 of 10 Stats only
FC Midtjylland
No FC Midtjylland 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
Nikola Dabanovic refereed this match

13 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.