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Ligue 1 · 24/25

Montpellier 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.

Montpellier0 – 4 Stade Rennais 2 Mar 2025
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 Montpellier lost to Stade Rennais 0–4, the SharpXI model made 14 confident calls on the player markets and 11 landed — the strongest being Teji Savanier for 1+ fouls drawn (83%, had 4). Its clearest miss: Khalil Fayad 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
Florent Batta refereed this match 3.57cards/game 0.92×vs league 44games
Florent Batta'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
Teji Savanier fouls drawn 1+ 83% 4
Jordan James fouls committed 1+ 83% 1
Arnaud Kalimuendo shots total 1+ 81% 5
Djaoui Cissé fouls committed 1+ 80% 2
Khalil Fayad fouls drawn 1+ 80% 1
Wahbi Khazri fouls drawn 1+ 79% 2
Seko Fofana shots total 1+ 79% 1
Lorenz Assignon fouls committed 1+ 79% 3
Wahbi Khazri fouls committed 1+ 77% 1
Ludovic Blas fouls drawn 1+ 77% 3
Khalil Fayad fouls committed 1+ 76% 0
Ludovic Blas shots total 1+ 76% 0
Mousa Tamari fouls drawn 1+ 76% 0
Mousa Tamari shots total 1+ 76% 2

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

Team & match markets

MarketLineModel ActualResult
Match cards O4.5 65% 3 cards
BTTS Yes 56% No
Match goals O2.5 53% 4 goals

How these are modelled: Match cards · BTTS

Dig deeper

Past meetings

Frequently asked

How did the SharpXI model do on Montpellier v Stade Rennais?

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 Montpellier v Stade Rennais?

The most confident call it got wrong was Khalil Fayad 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.