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

📝 Match Report

How It Unfolded

Birmingham beat Bristol City 2-1 at St. Andrew's @ Knighthead Park, Regular Season - 45, 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 Birmingham 1.25 xG and Bristol City 1.01 xG, a combined 2.26. 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 Birmingham attack 1.01 / defence 0.93 against Bristol City attack 0.92 / defence 0.96, drawn from 44/90 games (CurrentSeason).

On the result, the model split it Birmingham 40% | Draw 32% | Bristol City 28%, with Birmingham to win its most likely call at 40%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 39%. The game delivered 3, so it went over — the opposite of the projected direction. Over 1.5 had been 68% 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 46% Over 2.5 across their same-competition games (Birmingham 44%, Bristol City 47%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 51%, which matched the both-scored outcome.

Trading Patterns vs Reality

Birmingham's trading profile (90 games, 45 home) set some clear expectations: BTTS lands in 52% of their matches — today it did; they keep a clean sheet 36% of the time, and conceded here.

Bristol City's trading profile (90 games, 45 away) set some clear expectations: BTTS lands in 49% of their matches — today it did.

Form vs Result

On form, Birmingham arrived the stronger side — 1.90 PPG against 1.37. That form edge translated into the three points.

Verdict

Grading the result against the stored data, 2 of 4 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (miss), form (hit). The model got the gist right while missing on the margins.

💡 Key Insights