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Ligue 1 · 24/25

Stade de Reims v Nice

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 Reims2 – 4 Nice 11 Jan 2025
14/14
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 lost to Nice 2–4, the SharpXI model made 14 confident calls on the player markets and 14 landed — the strongest being Gaëtan Laborde for 1+ shots total (84%, had 4). 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
Willy Delajod refereed this match 3.71cards/game 0.95×vs league 76games
Willy Delajod'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
Gaëtan Laborde shots total 1+ 84% 4
Evann Guessand fouls drawn 1+ 81% 2
Badredine Bouanani shots total 1+ 80% 2
Evann Guessand shots total 1+ 78% 1
Keito Nakamura shots total 1+ 76% 1
Tanguy Ndombélé fouls drawn 1+ 76% 2
Marshall Munetsi fouls committed 1+ 75% 2
Oumar Diakité fouls committed 1+ 74% 2
Sofiane Diop fouls drawn 1+ 74% 2
Valentin Atangana Edoa fouls committed 1+ 72% 3
Badredine Bouanani fouls drawn 1+ 72% 2
Sofiane Diop shots total 1+ 72% 3
Teddy Teuma shots total 1+ 71% 1
Hicham Boudaoui fouls committed 1+ 71% 1

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

Team & match markets

MarketLineModel ActualResult
BTTS Yes 56% Yes
Match goals O2.5 53% 6 goals
Match cards O4.5 36% 6 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 Nice?

14 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 Nice?

Every one of its confident calls landed this time — a single strong game, not a verdict. When the model does miss, those rows sit in the same table as the hits, marked with a cross; we never hide them.

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.