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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
8/14
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 8 landed — the strongest being Khvicha Kvaratskhelia for 1+ shots total (95%, had 3). Its clearest miss: Dehmaine Tabibou for 1+ tackles (93%, 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-14% cards vs the league average
Clement Turpin refereed this match 3.32cards a gameleague 3.87 77games
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
Désiré Doué shots total 1+ 95% 1 ✓
Ousmane Dembélé shots total 1+ 95% 4 ✓
Khvicha Kvaratskhelia shots total 1+ 95% 3 ✓
Bradley Barcola shots total 1+ 95% 1 ✓
Johann Lepenant tackles 1+ 95% 2 ✓
Dehmaine Tabibou tackles 1+ 93% 0 ✗
Mostafa Mohamed shots total 1+ 92% 0 ✗
Ibrahima Sissoko fouls committed 1+ 90% 0 ✗
Mathieu Acapandié tackles 1+ 88% 0 ✗
Deiver Machado tackles 1+ 88% 1 ✓
Louis Leroux tackles 1+ 88% 1 ✓
Frédéric Guilbert tackles 1+ 88% 0 ✗
Ibrahima Sissoko tackles 1+ 88% 2 ✓
Senny Mayulu tackles 1+ 88% 0 ✗

How these are modelled: Shots total Tackles Fouls committed

Team & match markets

MarketLineModel ActualResult
Match goals O2.5 63% 3 goals ✓
BTTS Yes 42% No ✗
Match cards O4.5 12% 3 cards ✗

How these are modelled: Match goals Match cards

Dig deeper

Past meetings

Frequently asked

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

8 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 Dehmaine Tabibou at 93% for tackles — 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.