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Ligue 1 · 23/24

Clermont Foot 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.

Clermont Foot0 – 1 Nice 27 Oct 2023
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 Clermont Foot lost to Nice 0–1, the SharpXI model made 14 confident calls on the player markets and 12 landed — the strongest being Evann Guessand for 1+ fouls committed (88%, had 3). Its clearest miss: Hicham Boudaoui for 1+ fouls committed (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
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
Evann Guessand fouls committed 1+ 88% 3
Evann Guessand shots total 1+ 80% 1
Hicham Boudaoui fouls committed 1+ 80% 0
Morgan Sanson fouls committed 1+ 80% 2
Gaëtan Laborde shots total 1+ 79% 4
Terem Moffi shots total 1+ 79% 1
Romain Perraud fouls committed 1+ 78% 1
Muhammed-Cham Saračević shots total 1+ 78% 1
Shamar Nicholson shots total 1+ 76% 2
Alidu Seidu fouls drawn 1+ 76% 2
Terem Moffi fouls committed 1+ 76% 1
Melvin Bard fouls committed 1+ 75% 1
Evann Guessand fouls drawn 1+ 72% 1
Gaëtan Laborde fouls committed 1+ 71% 0

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

Team & match markets

MarketLineModel ActualResult
BTTS Yes 50% No
Match goals O2.5 46% 1 goals
Match cards O4.5 37% 2 cards

How these are modelled: BTTS · Match cards

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Past meetings

Frequently asked

How did the SharpXI model do on Clermont Foot v Nice?

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 Clermont Foot v Nice?

The most confident call it got wrong was Hicham Boudaoui at 80% for fouls committed — 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.