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Prediction vindicated as Luton edge out Derby 2-1.

📝 Match Report

How It Unfolded

Luton beat Derby 2-1 at Kenilworth Road, Regular Season - 22, 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 Luton 1.41 xG and Derby 0.90 xG, a combined 2.31. 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 Luton attack 0.99 / defence 1.09 against Derby attack 0.80 / defence 1.05, drawn from 21/21 games (CurrentSeason).

On the result, the model split it Luton 47% | Draw 31% | Derby 22%, with Luton to win its most likely call at 47%. 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 69% 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 58% Over 2.5 across their same-competition games (Luton 66%, Derby 49%), a base rate that agreed with today's over. Their combined BTTS history runs at 60%, which matched the both-scored outcome.

Trading Patterns vs Reality

Luton's trading profile (59 games, 30 home) set some clear expectations: BTTS lands in 73% of their matches — today it did.

Derby's trading profile (59 games, 30 away) set some clear expectations: BTTS lands in 48% of their matches — today it did; they keep a clean sheet 42% of the time, and conceded here.

Form vs Result

On form, Derby arrived the stronger side — 1.75 PPG against 0.81. Form was overturned, with Luton winning despite arriving in poorer recent shape. Derby (home/away splits) shipped 2 against a 1.07 concession average — a leakier day than usual.

Verdict

Grading the result against the stored data, 1 of 4 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (miss), form (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