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Stade de Reims v Paris Saint-Germain

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How often each Stade de Reims and Paris Saint-Germain 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 Stade de Reims v Paris Saint-Germain: Vitinha (Paris Saint-Germain) tops the visitors for 1+ shots on target — 6 of 10 (60%). 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.

Stade de Reims
Marshall MunetsiM 90%9 of 10 Pro 🔒
Keito NakamuraF 80%8 of 10 Pro 🔒
Emmanuel AgbadouD 60%6 of 10 Pro 🔒
Oumar DiakitéF 60%6 of 10 Pro 🔒
Sergio AkiemeD 60%6 of 10 Pro 🔒
Paris Saint-Germain
Bradley BarcolaF 100%10 of 10 Pro 🔒
Ousmane DembéléF 80%8 of 10 Pro 🔒
Randal Kolo MuaniF 80%8 of 10 Pro 🔒
VitinhaM 80%8 of 10 Pro 🔒
Désiré DouéF 70%7 of 10 Pro 🔒
Kang-in LeeM 70%7 of 10 Pro 🔒
Fabián RuizM 60%6 of 10 Pro 🔒

Stade de Reims
Keito NakamuraF 80%8 of 10 Pro 🔒
Paris Saint-Germain
Ousmane DembéléF 70%7 of 10 Pro 🔒
Bradley BarcolaF 60%6 of 10 Pro 🔒

Stade de Reims
No Stade de Reims player in this window.
Paris Saint-Germain
VitinhaM 60%6 of 10 Pro 🔒
Bradley BarcolaF 60%6 of 10 Pro 🔒

Stade de Reims
Oumar DiakitéF 90%9 of 10 Pro 🔒
Emmanuel AgbadouD 80%8 of 10 Pro 🔒
Thibault De SmetD 80%8 of 10 Pro 🔒
Sergio AkiemeD 70%7 of 10 Pro 🔒
Marshall MunetsiM 70%7 of 10 Pro 🔒
Aurélio ButaD 60%6 of 10 Pro 🔒
Paris Saint-Germain
Désiré DouéF 80%8 of 10 Pro 🔒
Lucas BeraldoD 70%7 of 10 Pro 🔒
Senny MayuluM 70%7 of 10 Pro 🔒
Bradley BarcolaF 70%7 of 10 Pro 🔒

Stade de Reims
Oumar DiakitéF 70%7 of 10 Pro 🔒
Paris Saint-Germain
No Paris Saint-Germain player in this window.

Stade de Reims
Marshall MunetsiM 80%8 of 10 Pro 🔒
Aurélio ButaD 70%7 of 10 Pro 🔒
Oumar DiakitéF 60%6 of 10 Pro 🔒
Junya ItoF 60%6 of 10 Pro 🔒
Teddy TeumaM 60%6 of 10 Pro 🔒
Paris Saint-Germain
Warren Zaïre-EmeryD 70%7 of 10 Pro 🔒
Désiré DouéF 70%7 of 10 Pro 🔒
VitinhaM 70%7 of 10 Pro 🔒
Lucas BeraldoD 60%6 of 10 Pro 🔒

Stade de Reims
Emmanuel AgbadouD 100%10 of 10 Pro 🔒
Teddy TeumaM 90%9 of 10 Pro 🔒
Junya ItoF 80%8 of 10 Pro 🔒
Marshall MunetsiM 80%8 of 10 Pro 🔒
Aurélio ButaD 70%7 of 10 Pro 🔒
Sergio AkiemeD 70%7 of 10 Pro 🔒
Thibault De SmetD 70%7 of 10 Pro 🔒
Keito NakamuraF 70%7 of 10 Pro 🔒
Reda KhadraM 70%7 of 10 Pro 🔒
Cédric KipréD 60%6 of 10 Pro 🔒
Paris Saint-Germain
VitinhaM 100%10 of 10 Pro 🔒
João NevesM 100%4 of 4 Pro 🔒
Warren Zaïre-EmeryD 80%8 of 10 Pro 🔒
Fabián RuizM 80%8 of 10 Pro 🔒
Willian PachoD 80%8 of 10 Pro 🔒
Bradley BarcolaF 70%7 of 10 Pro 🔒
Lucas BeraldoD 60%6 of 10 Pro 🔒

Stade de Reims
Emmanuel AgbadouD 70%7 of 10 Pro 🔒
Marshall MunetsiM 60%6 of 10 Pro 🔒
Paris Saint-Germain
João NevesM 75%3 of 4 Pro 🔒
Warren Zaïre-EmeryD 60%6 of 10 Pro 🔒
Fabián RuizM 60%6 of 10 Pro 🔒
VitinhaM 60%6 of 10 Pro 🔒

Stade de Reims
Emmanuel AgbadouD 60%6 of 10 Pro 🔒
Paris Saint-Germain
No Paris Saint-Germain player in this window.

Stade de Reims
Keito NakamuraF 30%3 of 10 Stats only
Paris Saint-Germain
Bradley BarcolaF 50%5 of 10 Stats only
Ousmane DembéléF 30%3 of 10 Stats only
VitinhaM 30%3 of 10 Stats only
Kang-in LeeM 30%3 of 10 Stats only

Stade de Reims
Junya ItoF 30%3 of 10 Stats only
Paris Saint-Germain
João NevesM 50%2 of 4 Stats only
Nuno MendesD 30%3 of 10 Stats only
Bradley BarcolaF 30%3 of 10 Stats only

Stade de Reims
Yehvann DioufG 80%8 of 10 Stats only
Paris Saint-Germain
No Paris Saint-Germain player in this window.

Stade de Reims
Yehvann DioufG 70%7 of 10 Stats only
Paris Saint-Germain
No Paris Saint-Germain 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+14% cards vs the league average
Jeremie Pignard refereed this match 4.43cards a gameleague 3.87 74games
Jeremie Pignard'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.