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Prediction vindicated as Birmingham edge out Leicester 2-1.

📝 Match Report

How It Unfolded

Birmingham beat Leicester 2-1 at St. Andrew's @ Knighthead Park, Regular Season - 31, in the Championship. The remainder of the report sets that outcome against the pre-match model, the markets and the teams' data profiles.

The Model vs The Result

The Poisson model went into this projecting Birmingham 2.08 xG and Leicester 1.14 xG, a combined 3.22. 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 1.24 / defence 1.00 against Leicester attack 0.99 / defence 1.28, drawn from 30/30 games (CurrentSeason).

On the result, the model split it Birmingham 58% | Draw 23% | Leicester 19%, with Birmingham to win its most likely call at 58%. The result followed the model's preferred path, landing its top-rated outcome.

Goals & Markets

The model rated Over 2.5 goals at 62%. The game delivered 3, so it went over — in line with the projection. Over 1.5 had been 84% and landed. Over 3.5 was 40% and did not. On both teams to score, the model sat at 60% and the match saw both sides score — another call in the model's favour. Historically the two sides average 52% Over 2.5 across their same-competition games (Birmingham 43%, Leicester 62%), a base rate that agreed with today's over. Their combined BTTS history runs at 55%, which matched the both-scored outcome.

Trading Patterns vs Reality

Birmingham's trading profile (68 games, 32 home) set some clear expectations: BTTS lands in 50% of their matches — today it did; they keep a clean sheet 40% of the time, and conceded here.

Leicester's trading profile (68 games, 32 away) set some clear expectations: BTTS lands in 60% of their matches — today it did.

Form vs Result

On form, Birmingham arrived the stronger side — 1.93 PPG against 0.93. Form held, and they took the win.

Verdict

Grading the result against the stored data, 4 of 4 pre-match signals came in: result (hit), Over 2.5 (hit), BTTS (hit), form (hit). A strong night for the model: the result sat comfortably inside what the pre-match data projected.

💡 Key Insights