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Ligue 1 · 25/26

Nantes v RC Strasbourg

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.

Nantes2 – 3 RC Strasbourg 22 Mar 2026
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 Nantes lost to RC Strasbourg 2–3, the SharpXI model made 14 confident calls on the player markets and 11 landed — the strongest being Ibrahima Sissoko for 1+ fouls committed (90%, had 2). Its clearest miss: Joaquin Panichelli for 1+ fouls committed (76%, 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
Mathieu Vernice refereed this match 4.40cards/game 1.13×vs league 60games
Mathieu Vernice'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
Ibrahima Sissoko fouls committed 1+ 90% 2
Mohamed Kaba fouls drawn 1+ 82% 4
Valentín Barco fouls drawn 1+ 82% 1
Johann Lepenant fouls drawn 1+ 77% 1
Gessime Yassine fouls drawn 1+ 77% 2
Matthis Abline shots total 1+ 77% 5
Guéla Doué fouls committed 1+ 77% 4
Johann Lepenant fouls committed 1+ 77% 2
Joaquin Panichelli fouls committed 1+ 76% 0
Martial Godo shots total 1+ 75% 1
Joaquin Panichelli shots total 1+ 75% 2
Matthis Abline fouls drawn 1+ 75% 2
Gessime Yassine shots total 1+ 75% 0
Dehmaine Tabibou fouls committed 1+ 74% 0

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

Team & match markets

MarketLineModel ActualResult
Match cards O4.5 51% 6 cards
BTTS Yes 49% Yes
Match goals O2.5 43% 5 goals

How these are modelled: Match cards · BTTS

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Past meetings

Frequently asked

How did the SharpXI model do on Nantes v RC Strasbourg?

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 Nantes v RC Strasbourg?

The most confident call it got wrong was Joaquin Panichelli at 76% 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.