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Ligue 1 · 24/25

Stade de Reims v AS Monaco

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 Reims0 – 0 AS Monaco 14 Dec 2024
11/14
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 AS Monaco 0–0, the SharpXI model made 14 confident calls on the player markets and 11 landed — the strongest being Eliesse Ben Seghir for 1+ fouls drawn (88%, had 5). Its clearest miss: Breel Embolo for 1+ fouls drawn (80%, 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
Romain Lissorgue refereed this match 4.16cards/game 1.07×vs league 37games
Romain Lissorgue'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
Eliesse Ben Seghir fouls drawn 1+ 88% 5
Amadou Koné fouls drawn 1+ 82% 7
Breel Embolo fouls drawn 1+ 80% 0
Breel Embolo shots total 1+ 80% 0
George Ilenikhena shots total 1+ 79% 0
Valentin Atangana Edoa fouls committed 1+ 78% 1
Yaya Fofana fouls committed 1+ 78% 1
Keito Nakamura shots total 1+ 77% 3
Oumar Diakité fouls committed 1+ 77% 2
Eliesse Ben Seghir shots total 1+ 77% 4
Marshall Munetsi fouls committed 1+ 76% 1
Valentin Atangana Edoa fouls drawn 1+ 75% 2
Soungoutou Magassa fouls drawn 1+ 74% 2
Oumar Diakité fouls drawn 1+ 73% 1

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

Team & match markets

MarketLineModel ActualResult
BTTS Yes 58% No
Match goals O2.5 56% 0 goals
Match cards O4.5 39% 4 cards

How these are modelled: BTTS · Match cards

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Past meetings

Frequently asked

How did the SharpXI model do on Stade de Reims v AS Monaco?

11 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 AS Monaco?

The most confident call it got wrong was Breel Embolo at 80% 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.