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Ligue 1 · 23/24

RC Strasbourg v Clermont Foot

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.

RC Strasbourg0 – 0 Clermont Foot 5 Nov 2023
7/14
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 RC Strasbourg drew with Clermont Foot 0–0, the SharpXI model made 14 confident calls on the player markets and 7 landed — the strongest being Lebo Mothiba for 1+ fouls committed (84%, had 1). Its clearest miss: Frédéric Guilbert 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
Jeremy Stinat refereed this match 3.92cards/game 1.01×vs league 71games
Jeremy Stinat'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
Lebo Mothiba fouls committed 1+ 84% 1
Frédéric Guilbert fouls committed 1+ 80% 0
Moïse Sahi Dion fouls committed 1+ 80% 0
Emmanuel Emegha fouls committed 1+ 80% 2
Dilane Bakwa fouls committed 1+ 79% 0
Lucas Perrin fouls committed 1+ 79% 1
Moïse Sahi Dion shots total 1+ 79% 2
Junior Mwanga fouls committed 1+ 78% 0
Maxime Gonalons fouls committed 1+ 78% 0
Muhammed-Cham Saračević shots total 1+ 78% 1
Elbasan Rashani fouls committed 1+ 78% 0
Gerzino Nyamsi fouls committed 1+ 78% 2
Dilane Bakwa fouls drawn 1+ 77% 0
Lebo Mothiba shots total 1+ 77% 1

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

Team & match markets

MarketLineModel ActualResult
BTTS Yes 50% No
Match goals O2.5 46% 0 goals
Match cards O4.5 39% 2 cards

How these are modelled: BTTS · Match cards

Dig deeper

Past meetings

Frequently asked

How did the SharpXI model do on RC Strasbourg v Clermont Foot?

7 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 RC Strasbourg v Clermont Foot?

The most confident call it got wrong was Frédéric Guilbert 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.