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Ligue 1 · 24/25

Stade de Reims v Paris Saint-Germain

How the SharpXI model rated this Ligue 1 fixture — every call it made on shots, cards and fouls, set against what actually happened on the day.

Stade de Reims1 – 1 Paris Saint-Germain 21 Sep 2024
12/14
of the model's most-confident calls landed. Every one was published before kick-off and priced the same way as every other fixture. A single game is noise, not a verdict — the season-long record is on the track record.

Before Stade de Reims drew with Paris Saint-Germain 1–1, the SharpXI model made 14 confident calls on the player markets and 12 landed — the strongest being Ousmane Dembélé for 1+ shots total (84%, had 2). Its clearest miss: Randal Kolo Muani for 1+ fouls drawn (73%, had 0). Every probability here was published before kick-off, priced the same way as every other fixture — one game is noise, not a verdict.

Match officials
Jeremie Pignard refereed this match 4.43cards/game 1.14×vs league 72games
Jeremie Pignard's card record →
See the full player stats boardBoth likely XIs side by side — hit rates over your chosen window, add to your slip

Player markets — the model's calls

Each probability is the model's own number for the headline (1+) line, before any bookmaker margin. The result column is what the player actually recorded.

PlayerMarketLineModel ActualResult
Ousmane Dembélé shots total 1+ 84% 2
Désiré Doué fouls drawn 1+ 82% 3
Bradley Barcola shots total 1+ 79% 1
Oumar Diakité fouls committed 1+ 78% 1
Randal Kolo Muani shots total 1+ 77% 1
Keito Nakamura shots total 1+ 77% 2
Valentin Atangana Edoa fouls committed 1+ 76% 1
Désiré Doué fouls committed 1+ 75% 1
Randal Kolo Muani fouls committed 1+ 74% 1
Randal Kolo Muani fouls drawn 1+ 73% 0
Ousmane Dembélé fouls drawn 1+ 73% 0
Désiré Doué shots total 1+ 72% 3
Kang-in Lee fouls drawn 1+ 71% 1
Warren Zaïre-Emery fouls drawn 1+ 70% 2

How these are modelled: Shots total · Fouls drawn · Fouls committed

Team & match markets

MarketLineModel ActualResult
Match goals O2.5 64% 2 goals
BTTS Yes 63% Yes
Match cards O4.5 28% 3 cards

How these are modelled: Match goals · Match cards

Dig deeper

Past meetings

Frequently asked

How did the SharpXI model do on Stade de Reims v Paris Saint-Germain?

12 of its 14 most-confident calls landed. The board on this page lists every one with the model's pre-kickoff probability next to what actually happened, hits and misses in the same table.

What did the model get wrong on Stade de Reims v Paris Saint-Germain?

The most confident call it got wrong was Randal Kolo Muani at 73% for fouls drawn — shown in the same table as the hits, marked with a cross. A record that hides its misses isn't a record, so we don't.

Are these probabilities hindsight?

No. Each one is the number the model produced from data available before kick-off, using the same settings as every other fixture on the site — nothing was refitted after the result. That is the only way a per-match report means anything.

Does one match tell you if the model is any good in the Ligue 1?

No, and we'd rather say so. A single fixture is a handful of calls and mostly noise; the season-long, market-by-market record — including the markets that fail to beat a naive guess — is on the track record page.

SharpXI models probabilities from public match data; it does not take bets or guarantee outcomes. Prices are entered per leg in the tool. 18+ — please gamble responsibly.