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Prediction vindicated as Leeds edge out Fulham 1-0.

📝 Match Report

How It Unfolded

Leeds beat Fulham 1-0 at Elland Road, Regular Season - 22, in the Premier League. 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 Leeds 1.82 xG and Fulham 1.32 xG, a combined 3.14. The scoreboard read 1-0 for 1 actual goal. Leeds fell 0.8 short of their projected output. Fulham landed 1.3 under their projected return. Those figures were built on strength ratings of Leeds attack 1.15 / defence 1.10 against Fulham attack 0.96 / defence 1.05, drawn from 21/59 games (CurrentSeason).

On the result, the model split it Leeds 47% | Draw 28% | Fulham 25%, with Leeds 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 61%. The game delivered 1, so it stayed under — the opposite of the projected direction. Over 1.5 had been 84% and missed. On both teams to score, the model sat at 64% and the match did not — a miss on BTTS. Historically the two sides average 55% Over 2.5 across their same-competition games (Leeds 54%, Fulham 56%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 58%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Leeds's trading profile (59 games, 29 home) set some clear expectations: BTTS lands in 49% of their matches — today it did not; they keep a clean sheet 39% of the time, and duly kept one.

Fulham's trading profile (59 games, 29 away) set some clear expectations: BTTS lands in 68% of their matches — today it did not.

Form vs Result

The form lines were close — Leeds 1.81 PPG, Fulham 1.44 PPG — offering no strong steer, and the Leeds win broke the near-deadlock. Leeds (home/away splits) managed 1 against a 2.45 scoring average — below par going forward. Fulham (home/away splits) managed 0 against a 1.31 scoring average — below par going forward.

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