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Prediction vindicated as Sheffield Utd edge out QPR 1-2.

📝 Match Report

How It Unfolded

Sheffield Utd beat QPR 1-2 at MATRADE Loftus Road, Regular Season - 35, in the Championship. With the result on the board, the sections below measure it against everything the model and the numbers projected in advance.

The Model vs The Result

The Poisson model went into this projecting QPR 1.22 xG and Sheffield Utd 1.27 xG, a combined 2.49. The scoreboard read 1-2 for 3 actual goals. Both sides finished within a goal of their individual projections, so the scoreline sat close to the model's expected shape. Those figures were built on strength ratings of QPR attack 1.14 / defence 1.07 against Sheffield Utd attack 1.14 / defence 0.79, drawn from 80/34 games (CurrentSeason).

On the result, the model split it QPR 35% | Draw 28% | Sheffield Utd 37%, with Sheffield Utd to win its most likely call at 37%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 45%. The game delivered 3, so it went over — the opposite of the projected direction. Over 1.5 had been 72% and landed. On both teams to score, the model sat at 51% and the match saw both sides score — another call in the model's favour. Historically the two sides average 50% Over 2.5 across their same-competition games (QPR 46%, Sheffield Utd 54%), a base rate that agreed with today's over. Their combined BTTS history runs at 49%, which did not match the both-scored outcome.

Trading Patterns vs Reality

QPR's trading profile (72 games, 36 home) set some clear expectations: BTTS lands in 51% of their matches — today it did.

Sheffield Utd's trading profile (72 games, 36 away) set some clear expectations: BTTS lands in 47% of their matches — today it did.

Form vs Result

The form lines were close — QPR 1.28 PPG, Sheffield Utd 1.22 PPG — offering no strong steer, and the Sheffield Utd win broke the near-deadlock. Sheffield Utd (home/away splits) scored 2 against a 1.08 average — above their attacking norm.

Verdict

Grading the result against the stored data, 2 of 3 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (hit). The model got the gist right while missing on the margins.

💡 Key Insights