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SharpXI©
Player stats 26/27

Real Madrid v Inter

Your slip follows you between games.

How often each Real Madrid and Inter 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 Real Madrid v Inter: Kylian Mbappé (Real Madrid) leads the home side for 1+ shots on target — 8 of 10 (80%); Marcus Thuram (Inter) tops the visitors on 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.

Real Madrid
Kylian MbappéF 100%10 of 10 Pro 🔒
Vinícius JúniorM 100%10 of 10 Pro 🔒
Federico ValverdeM 90%9 of 10 Pro 🔒
Carlos EspíF 80%8 of 10 Pro 🔒
Jude BellinghamM 80%8 of 10 Pro 🔒
Denzel DumfriesD 70%7 of 10 Pro 🔒
Dean HuijsenD 60%6 of 10 Pro 🔒
Brahim DíazM 60%6 of 10 Pro 🔒
Inter
Marcus ThuramF 100%10 of 10 Pro 🔒
Hakan ÇalhanoğluM 80%8 of 10 Pro 🔒
Lautaro MartínezF 80%8 of 10 Pro 🔒
Piotr ZielińskiM 70%7 of 10 Pro 🔒
Nicolò BarellaM 70%7 of 10 Pro 🔒

Real Madrid
Kylian MbappéF 100%10 of 10 Pro 🔒
Vinícius JúniorM 80%8 of 10 Pro 🔒
Carlos EspíF 60%6 of 10 Pro 🔒
Jude BellinghamM 60%6 of 10 Pro 🔒
Inter
Marcus ThuramF 90%9 of 10 Pro 🔒

Real Madrid
Kylian MbappéF 100%10 of 10 Pro 🔒
Inter
Marcus ThuramF 60%6 of 10 Pro 🔒

Real Madrid
Kylian MbappéF 80%8 of 10 Pro 🔒
Carlos EspíF 70%7 of 10 Pro 🔒
Vinícius JúniorM 70%7 of 10 Pro 🔒
Jude BellinghamM 70%7 of 10 Pro 🔒
Federico ValverdeM 60%6 of 10 Pro 🔒
Inter
Marcus ThuramF 70%7 of 10 Pro 🔒
Lautaro MartínezF 70%7 of 10 Pro 🔒
Hakan ÇalhanoğluM 60%6 of 10 Pro 🔒

Real Madrid
Kylian MbappéF 70%7 of 10 Pro 🔒
Inter
No Inter player in this window.

Real Madrid
Vinícius JúniorM 90%9 of 10 Pro 🔒
Carlos EspíF 70%7 of 10 Pro 🔒
Federico ValverdeM 60%6 of 10 Pro 🔒
Jude BellinghamM 60%6 of 10 Pro 🔒
Inter
Lautaro MartínezF 80%8 of 10 Pro 🔒
Alessandro BastoniD 80%8 of 10 Pro 🔒
Hakan ÇalhanoğluM 70%7 of 10 Pro 🔒
Marcus ThuramF 70%7 of 10 Pro 🔒
Benjamin PavardD 60%6 of 10 Pro 🔒
Curtis JonesM 60%6 of 10 Pro 🔒
Carlos AugustoM 60%6 of 10 Pro 🔒

Real Madrid
Ibrahima KonatéD 80%8 of 10 Pro 🔒
Vinícius JúniorM 80%8 of 10 Pro 🔒
Jude BellinghamM 80%8 of 10 Pro 🔒
Carlos EspíF 70%7 of 10 Pro 🔒
Brahim DíazM 70%7 of 10 Pro 🔒
Kylian MbappéF 60%6 of 10 Pro 🔒
Inter
Lautaro MartínezF 80%8 of 10 Pro 🔒
Curtis JonesM 70%7 of 10 Pro 🔒
Ange-Yoan BonnyF 60%6 of 10 Pro 🔒
Petar SučićM 60%6 of 10 Pro 🔒
Marcus ThuramF 60%6 of 10 Pro 🔒

Real Madrid
Jude BellinghamM 80%8 of 10 Pro 🔒
Vinícius JúniorM 70%7 of 10 Pro 🔒
Inter
No Inter player in this window.

Real Madrid
Jude BellinghamM 80%8 of 10 Pro 🔒
Inter
No Inter player in this window.

Real Madrid
Marc CucurellaD 80%8 of 10 Pro 🔒
Federico ValverdeM 70%7 of 10 Pro 🔒
Jude BellinghamM 70%7 of 10 Pro 🔒
Álvaro CarrerasD 60%6 of 10 Pro 🔒
Ibrahima KonatéD 60%6 of 10 Pro 🔒
Inter
Curtis JonesM 100%10 of 10 Pro 🔒
Hakan ÇalhanoğluM 90%9 of 10 Pro 🔒
Nicolò BarellaM 80%8 of 10 Pro 🔒
Alessandro BastoniD 80%8 of 10 Pro 🔒
Petar SučićM 70%7 of 10 Pro 🔒
Piotr ZielińskiM 70%7 of 10 Pro 🔒
Benjamin PavardD 70%7 of 10 Pro 🔒
Lautaro MartínezF 70%7 of 10 Pro 🔒
Henrikh MkhitaryanM 60%6 of 10 Pro 🔒
Marcus ThuramF 60%6 of 10 Pro 🔒
Yann BisseckD 60%6 of 10 Pro 🔒
Carlos AugustoM 60%6 of 10 Pro 🔒

Real Madrid
Vinícius JúniorM 50%5 of 10 Stats only
Carlos EspíF 40%4 of 10 Stats only
Kylian MbappéF 40%4 of 10 Stats only
Jude BellinghamM 40%4 of 10 Stats only
Inter
Marcus ThuramF 60%6 of 10 Stats only
Hakan ÇalhanoğluM 50%5 of 10 Stats only
Lautaro MartínezF 40%4 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+14% cards vs the league average
Michael Oliver refereed this match 4.50cards a gameleague 3.94 26games
Michael Oliver'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.