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Prediction vindicated as Bristol City edge out Norwich 2-1.

📝 Match Report

How It Unfolded

Bristol City beat Norwich 2-1 at Ashton Gate Stadium, Regular Season - 38, 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 Bristol City 1.29 xG and Norwich 0.73 xG, a combined 2.02. 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 Bristol City attack 0.97 / defence 0.82 against Norwich attack 0.86 / defence 0.99, drawn from 83/83 games (CurrentSeason).

On the result, the model split it Bristol City 50% | Draw 30% | Norwich 21%, with Bristol City to win its most likely call at 50%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 33%. The game delivered 3, so it went over — the opposite of the projected direction. Over 1.5 had been 60% and landed. On both teams to score, the model sat at 38% and the match saw both sides score — a miss on BTTS. Historically the two sides average 46% Over 2.5 across their same-competition games (Bristol City 37%, Norwich 54%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 55%, which matched the both-scored outcome.

Trading Patterns vs Reality

Bristol City's trading profile (83 games, 41 home) set some clear expectations: BTTS lands in 48% of their matches — today it did.

Norwich's trading profile (83 games, 41 away) set some clear expectations: BTTS lands in 61% of their matches — today it did.

Form vs Result

The form lines were close — Bristol City 1.40 PPG, Norwich 1.43 PPG — offering no strong steer, and the Bristol City win broke the near-deadlock.

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