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Ligue 1 · 24/25

Montpellier v Olympique de Marseille

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 – 5 Olympique de Marseille 20 Oct 2024
12/14
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 Olympique de Marseille 0–5, the SharpXI model made 14 confident calls on the player markets and 12 landed — the strongest being Mason Greenwood for 1+ shots total (85%, had 2). Its clearest miss: Mason Greenwood for 1+ fouls drawn (74%, 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
Mason Greenwood shots total 1+ 85% 2
Jonathan Rowe fouls drawn 1+ 85% 1
Arnaud Nordin fouls drawn 1+ 84% 5
Elye Wahi shots total 1+ 82% 6
Adrien Rabiot fouls committed 1+ 81% 5
Teji Savanier fouls drawn 1+ 81% 2
Jordan Ferri fouls committed 1+ 80% 1
Jonathan Rowe shots total 1+ 78% 5
Tanguy Coulibaly fouls committed 1+ 77% 2
Amine Harit fouls drawn 1+ 77% 5
Akor Adams shots total 1+ 76% 3
Rabby Nzingoula fouls committed 1+ 75% 3
Mason Greenwood fouls drawn 1+ 74% 0
Jordan Ferri fouls drawn 1+ 74% 0

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

Team & match markets

MarketLineModel ActualResult
BTTS Yes 57% No
Match cards O4.5 57% 5 cards
Match goals O2.5 55% 5 goals

How these are modelled: BTTS · Match cards

Dig deeper

Past meetings

Frequently asked

How did the SharpXI model do on Montpellier v Olympique de Marseille?

12 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 Olympique de Marseille?

The most confident call it got wrong was Mason Greenwood at 74% for fouls drawn — 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.