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Serie A 26/27

AS Roma v Atalanta

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

AS Roma2 – 1 Atalanta 5 Sep 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 AS Roma beat Atalanta 2–1, the SharpXI model made 14 confident calls on the player markets and 12 landed — the strongest being Nahuel Molina for 1+ tackles (97%, had 1). Its clearest miss: Nikola Krstović for 1+ shots on target (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+15% cards vs the league average
Andrea Colombo refereed this match 4.80cards a gameleague 4.19 60games
Andrea Colombo'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
Daniele Ghilardi tackles 1+ 97% 2 ✓
Nahuel Molina tackles 1+ 97% 1 ✓
Paulo Dybala shots total 1+ 95% 6 ✓
Gianluca Scamacca shots total 1+ 95% 1 ✓
Nikola Krstović shots total 1+ 95% 1 ✓
Donyell Malen shots total 1+ 95% 3 ✓
Paulo Dybala fouls drawn 1+ 94% 2 ✓
Nikola Krstović shots on target 1+ 92% 0 ✗
Donyell Malen shots on target 1+ 92% 1 ✓
Bryan Cristante tackles 1+ 90% 1 ✓
Nikola Krstović fouls committed 1+ 89% 0 ✗
Matías Soulé shots total 1+ 88% 7 ✓
Rodrigo Mora shots total 1+ 88% 6 ✓
Santiago Castro shots total 1+ 88% 4 ✓

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

Team & match markets

MarketLineModel ActualResult
BTTS Yes 54% Yes ✓
Match goals O2.5 51% 3 goals ✓
Match cards O4.5 25% 2 cards ✗

How these are modelled: BTTS Match cards

Dig deeper

Past meetings

Frequently asked

How did the SharpXI model do on AS Roma v Atalanta?

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 AS Roma v Atalanta?

The most confident call it got wrong was Nikola Krstović at 92% for shots on target — 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 Serie A?

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.