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Prediction vindicated as Watford edge out QPR 2-1.

📝 Match Report

How It Unfolded

Watford beat QPR 2-1 at Vicarage Road, Regular Season - 2, 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 Watford 1.21 xG and QPR 1.11 xG, a combined 2.32. The scoreboard read 2-1 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 Watford attack 0.93 / defence 0.98 against QPR attack 1.01 / defence 0.98, drawn from 47/47 games (Blended).

On the result, the model split it Watford 38% | Draw 28% | QPR 33%, with Watford to win its most likely call at 38%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 41%. The game delivered 3, so it went over — the opposite of the projected direction. Over 1.5 had been 67% and landed. On both teams to score, the model sat at 47% and the match saw both sides score — a miss on BTTS. Historically the two sides average 53% Over 2.5 across their same-competition games (Watford 55%, QPR 51%), a base rate that agreed with today's over. Their combined BTTS history runs at 58%, which matched the both-scored outcome.

Trading Patterns vs Reality

Watford's trading profile (47 games, 23 home) set some clear expectations: BTTS lands in 55% of their matches — today it did.

QPR's trading profile (47 games, 23 away) set some clear expectations: BTTS lands in 62% of their matches — today it did.

Form vs Result

The form lines were close — Watford 1.21 PPG, QPR 1.21 PPG — offering no strong steer, and the Watford win broke the near-deadlock. Watford (home/away splits) scored 2 against a 1.17 average — above their attacking norm.

Verdict

Grading the result against the stored data, 1 of 3 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (miss). The data was on the wrong side of this result more often than not — a reminder that a single match sits well inside the model's variance.

💡 Key Insights