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Championship · 22/23

Reading v Millwall

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

Reading0 – 1 Millwall 11 Mar 2023
10/14
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 Reading lost to Millwall 0–1, the SharpXI model made 14 confident calls on the player markets and 10 landed — the strongest being Zian Flemming for 1+ shots total (80%, had 1). Its clearest miss: Lucas João for 1+ fouls drawn (77%, 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
Michael Salisbury refereed this match 3.20cards/game 0.80×vs league 20games
Michael Salisbury'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
Zian Flemming shots total 1+ 80% 1
Tom Bradshaw shots total 1+ 80% 2
Lucas João fouls drawn 1+ 77% 0
Tom Ince fouls drawn 1+ 77% 1
Andy Yiadom fouls drawn 1+ 75% 3
Andy Yiadom fouls committed 1+ 72% 2
Zian Flemming fouls committed 1+ 72% 1
Andy Carroll shots total 1+ 72% 0
George Honeyman fouls committed 1+ 71% 1
George Saville fouls drawn 1+ 70% 2
Tom Ince shots total 1+ 70% 1
Lucas João shots total 1+ 70% 0
Cesare Casadei fouls committed 1+ 69% 1
George Honeyman fouls drawn 1+ 69% 0

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

Team & match markets

MarketLineModel ActualResult
Match cards O4.5 15% 1 cards

How these are modelled: Match cards

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Past meetings

Frequently asked

How did the SharpXI model do on Reading v Millwall?

10 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 Reading v Millwall?

The most confident call it got wrong was Lucas João at 77% 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 Championship?

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.