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SharpXI©
Player stats 22/23

Vizela v Santa Clara

Your slip follows you between games.

How often each Vizela and Santa Clara 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 Vizela v Santa Clara: Alexander Schmidt (Vizela) leads the home side for 1+ shots on target — 3 of 4 (75%); Rildo (Santa Clara) tops the visitors on 4 of 6 (67%). 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.

Vizela
Nuno MoreiraM 100%9 of 9 Pro 🔒
SamuM 78%7 of 9 Pro 🔒
Alexander SchmidtF 75%3 of 4 Pro 🔒
Milutin OsmajićF 71%5 of 7 Pro 🔒
Kévin ZohiF 67%6 of 9 Pro 🔒
Kiko BondosoF 67%6 of 9 Pro 🔒
Diego RosaM 67%4 of 6 Pro 🔒
Alex MéndezM 62%5 of 8 Pro 🔒
Santa Clara
Matheus BabiF 80%4 of 5 Pro 🔒
Rodrigo SilvaF 67%6 of 9 Pro 🔒
Kyosuke TagawaF 67%6 of 9 Pro 🔒
RildoF 67%4 of 6 Pro 🔒
Bruno AlmeidaM 67%2 of 3 Pro 🔒

Vizela
Nuno MoreiraM 67%6 of 9 Pro 🔒
Santa Clara
Matheus BabiF 60%3 of 5 Pro 🔒

Vizela
Alexander SchmidtF 75%3 of 4 Pro 🔒
Nuno MoreiraM 67%6 of 9 Pro 🔒
Alex MéndezM 62%5 of 8 Pro 🔒
Santa Clara
RildoF 67%4 of 6 Pro 🔒

Vizela
SamuM 89%8 of 9 Pro 🔒
Bruno WilsonD 80%4 of 5 Pro 🔒
Nuno MoreiraM 78%7 of 9 Pro 🔒
KikiD 78%7 of 9 Pro 🔒
Osama RashidM 67%2 of 3 Pro 🔒
Alex MéndezM 62%5 of 8 Pro 🔒
Santa Clara
Matheus AraújoD 100%3 of 3 Pro 🔒
Victor BobsinM 89%8 of 9 Pro 🔒
Kennedy BoatengD 75%6 of 8 Pro 🔒
RicardinhoF 75%6 of 8 Pro 🔒
Pedro BicalhoM 75%3 of 4 Pro 🔒
Cristian GonzalezD 67%4 of 6 Pro 🔒
Bruno AlmeidaM 67%2 of 3 Pro 🔒
Matheus BabiF 60%3 of 5 Pro 🔒

Vizela
Nuno MoreiraM 89%8 of 9 Pro 🔒
KikiD 78%7 of 9 Pro 🔒
Kiko BondosoF 67%6 of 9 Pro 🔒
SamuM 67%6 of 9 Pro 🔒
Bruno WilsonD 60%3 of 5 Pro 🔒
Santa Clara
Matheus AraújoD 100%3 of 3 Pro 🔒
Rodrigo SilvaF 89%8 of 9 Pro 🔒
Matheus BabiF 80%4 of 5 Pro 🔒
RicardinhoF 75%6 of 8 Pro 🔒
Victor BobsinM 67%6 of 9 Pro 🔒
Bruno AlmeidaM 67%2 of 3 Pro 🔒

Vizela
No Vizela player in this window.
Santa Clara
Matheus AraújoD 67%2 of 3 Pro 🔒
Matheus BabiF 60%3 of 5 Pro 🔒

Vizela
No Vizela player in this window.
Santa Clara
Matheus BabiF 60%3 of 5 Pro 🔒

Vizela
Alex MéndezM 100%8 of 8 Pro 🔒
KikiD 89%8 of 9 Pro 🔒
SamuM 89%8 of 9 Pro 🔒
Diego RosaM 83%5 of 6 Pro 🔒
Kiko BondosoF 78%7 of 9 Pro 🔒
Nuno MoreiraM 67%6 of 9 Pro 🔒
AndersonD 67%6 of 9 Pro 🔒
Santa Clara
Cristian GonzalezD 83%5 of 6 Pro 🔒
Pierre SagnaD 78%7 of 9 Pro 🔒
Victor BobsinM 78%7 of 9 Pro 🔒
Kennedy BoatengD 75%6 of 8 Pro 🔒
Pedro BicalhoM 75%3 of 4 Pro 🔒
AndrézinhoF 67%4 of 6 Pro 🔒
RildoF 67%4 of 6 Pro 🔒
Bruno AlmeidaM 67%2 of 3 Pro 🔒
Matheus BabiF 60%3 of 5 Pro 🔒

Vizela
Alex MéndezM 75%6 of 8 Pro 🔒
KikiD 67%6 of 9 Pro 🔒
Santa Clara
Pierre SagnaD 67%6 of 9 Pro 🔒
Cristian GonzalezD 67%4 of 6 Pro 🔒
Kennedy BoatengD 62%5 of 8 Pro 🔒

Vizela
No Vizela player in this window.
Santa Clara
RildoF 33%2 of 6 Stats only

Vizela
No Vizela player in this window.
Santa Clara
Bruno AlmeidaM 33%1 of 3 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+15% cards vs the league average
Gustavo Correia refereed this match 5.97cards a gameleague 5.17 63games
Gustavo Correia'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.