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Ligue 1 · 25/26

Paris Saint-Germain v Nantes

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.

Paris Saint-Germain3 – 0 Nantes 22 Apr 2026
9/14
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 Paris Saint-Germain beat Nantes 3–0, the SharpXI model made 14 confident calls on the player markets and 9 landed — the strongest being Khvicha Kvaratskhelia for 1+ shots total (87%, had 3). Its clearest miss: Ibrahima Sissoko for 1+ fouls committed (83%, 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
Clement Turpin refereed this match 3.36cards/game 0.86×vs league 75games
Clement Turpin'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
Khvicha Kvaratskhelia shots total 1+ 87% 3
Ousmane Dembélé shots total 1+ 87% 4
Ibrahima Sissoko fouls committed 1+ 83% 0
Bradley Barcola shots total 1+ 83% 1
Désiré Doué shots total 1+ 82% 1
Désiré Doué fouls committed 1+ 78% 0
Mostafa Mohamed shots total 1+ 78% 0
Désiré Doué fouls drawn 1+ 77% 3
Mostafa Mohamed fouls drawn 1+ 76% 1
Ibrahim Mbaye shots total 1+ 76% 0
Khvicha Kvaratskhelia fouls drawn 1+ 74% 1
Matthis Abline shots total 1+ 74% 5
Senny Mayulu fouls committed 1+ 73% 2
Dro Fernández fouls drawn 1+ 73% 0

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

Team & match markets

MarketLineModel ActualResult
Match goals O2.5 63% 3 goals
BTTS Yes 42% No
Match cards O4.5 14% 3 cards

How these are modelled: Match goals · Match cards

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Past meetings

Frequently asked

How did the SharpXI model do on Paris Saint-Germain v Nantes?

9 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 Paris Saint-Germain v Nantes?

The most confident call it got wrong was Ibrahima Sissoko at 83% 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.