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UEFA Champions League · 25/26

Paris Saint-Germain v AS Monaco

How the SharpXI model rated this UEFA Champions League fixture — every call it made on shots, cards and fouls, set against what actually happened on the day.

Paris Saint-Germain2 – 2 AS Monaco 25 Feb 2026
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 Paris Saint-Germain drew with AS Monaco 2–2, the SharpXI model made 14 confident calls on the player markets and 12 landed — the strongest being Bradley Barcola for 1+ shots total (83%, had 1). Its clearest miss: Folarin Balogun for 1+ fouls committed (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+20% cards vs the league average
Istvan Kovacs refereed this match 4.77cards a game· league 3.96 26games
Istvan Kovacs'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
Bradley Barcola shots total 1+ 83% 1
Khvicha Kvaratskhelia shots total 1+ 82% 4
Désiré Doué shots total 1+ 81% 3
Désiré Doué fouls drawn 1+ 80% 3
Désiré Doué fouls committed 1+ 80% 2
Vanderson fouls committed 1+ 80% 2
Mamadou Coulibaly fouls committed 1+ 78% 4
Aladji Bamba fouls committed 1+ 77% 3
Folarin Balogun shots total 1+ 75% 2
Kang-in Lee shots total 1+ 75% 1
Folarin Balogun fouls committed 1+ 74% 0
Lamine Camara fouls drawn 1+ 73% 3
Khvicha Kvaratskhelia fouls drawn 1+ 73% 4
Lamine Camara fouls committed 1+ 72% 0

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

Team & match markets

MarketLineModel ActualResult
Match goals O2.5 84% 4 goals
BTTS Yes 60% Yes
Match cards O4.5 46% 6 cards

How these are modelled: Match goals · Match cards

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Past meetings

Frequently asked

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

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 Paris Saint-Germain v AS Monaco?

The most confident call it got wrong was Folarin Balogun at 74% 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 UEFA Champions League?

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.