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Ligue 1 25/26

Auxerre 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.

Auxerre0 – 0 Nantes 11 Apr 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 Auxerre drew with Nantes 0–0, the SharpXI model made 14 confident calls on the player markets and 11 landed — the strongest being Lassine Sinayoko for 1+ shots total (95%, had 3). Its clearest miss: Matthis Abline for 1+ shots total (92%, 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
Willy Delajod refereed this match 3.71cards a gameleague 3.87 79games
Willy Delajod'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
Lassine Sinayoko shots total 1+ 95% 3 ✓
Johann Lepenant tackles 1+ 95% 3 ✓
Mohamed Kaba tackles 1+ 93% 2 ✓
Matthis Abline shots total 1+ 92% 0 ✗
Mohamed Kaba fouls drawn 1+ 91% 5 ✓
Danny Namaso fouls committed 1+ 90% 6 ✓
Sékou Mara fouls committed 1+ 90% 0 ✗
Frédéric Guilbert tackles 1+ 88% 2 ✓
Elisha Owusu tackles 1+ 88% 1 ✓
Dehmaine Tabibou tackles 1+ 88% 2 ✓
Nicolas Cozza tackles 1+ 88% 0 ✗
Francis Coquelin tackles 1+ 88% 5 ✓
Marvin Senaya tackles 1+ 88% 2 ✓
Kévin Danois tackles 1+ 88% 1 ✓

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

Team & match markets

MarketLineModel ActualResult
BTTS Yes 44% No ✗
Match goals O2.5 39% 0 goals ✗
Match cards O4.5 38% 4 cards ✗

How these are modelled: BTTS Match cards

Dig deeper

Past meetings

Frequently asked

How did the SharpXI model do on Auxerre v Nantes?

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 Auxerre v Nantes?

The most confident call it got wrong was Matthis Abline at 92% for shots total — 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.