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Ligue 1 · 24/25

Stade de Reims v Stade Rennais

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.

Stade de Reims2 – 1 Stade Rennais 1 Sep 2024
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 Stade de Reims beat Stade Rennais 2–1, the SharpXI model made 14 confident calls on the player markets and 8 landed — the strongest being Amine Gouiri for 1+ shots total (84%, had 3). Its clearest miss: Valentin Atangana Edoa for 1+ fouls committed (81%, 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
Amine Gouiri shots total 1+ 84% 3
Valentin Atangana Edoa fouls committed 1+ 81% 0
Ludovic Blas fouls committed 1+ 81% 0
Alidu Seidu fouls drawn 1+ 80% 0
Oumar Diakité fouls committed 1+ 80% 2
Ludovic Blas shots total 1+ 80% 1
Arnaud Kalimuendo fouls drawn 1+ 79% 0
Arnaud Kalimuendo shots total 1+ 79% 2
Ludovic Blas fouls drawn 1+ 79% 1
Yaya Fofana fouls committed 1+ 73% 0
Keito Nakamura shots total 1+ 73% 2
Amine Gouiri fouls committed 1+ 71% 1
Marshall Munetsi fouls committed 1+ 71% 1
Oumar Diakité fouls drawn 1+ 68% 0

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

Team & match markets

MarketLineModel ActualResult
BTTS Yes 57% Yes
Match goals O2.5 54% 3 goals
Match cards O4.5 51% 4 cards

How these are modelled: BTTS · Match cards

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Past meetings

Frequently asked

How did the SharpXI model do on Stade de Reims v Stade Rennais?

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 Stade de Reims v Stade Rennais?

The most confident call it got wrong was Valentin Atangana Edoa at 81% 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.