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Prediction vindicated as Leeds edge out Brighton 1-0.

📝 Match Report

How It Unfolded

Leeds beat Brighton 1-0 at Elland Road, Regular Season - 37, in the Premier League. That is the final score; the rest of this report grades it against what the data forecast beforehand.

The Model vs The Result

The Poisson model went into this projecting Leeds 1.36 xG and Brighton 1.21 xG, a combined 2.56. The scoreboard read 1-0 for 1 actual goal. Brighton landed 1.2 under their projected return. Those figures were built on strength ratings of Leeds attack 0.95 / defence 0.99 against Brighton attack 0.99 / defence 0.96, drawn from 36/74 games (CurrentSeason).

On the result, the model split it Leeds 39% | Draw 29% | Brighton 32%, with Leeds to win its most likely call at 39%. The scoreboard confirmed the model's leading pick.

Goals & Markets

The model rated Over 2.5 goals at 47%. The game delivered 1, so it stayed under — the model's lean was correct. Over 1.5 had been 74% and missed. On both teams to score, the model sat at 54% and the match did not — a miss on BTTS. Historically the two sides average 57% Over 2.5 across their same-competition games (Leeds 53%, Brighton 61%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 57%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Leeds's trading profile (74 games, 37 home) set some clear expectations: BTTS lands in 50% of their matches — today it did not; they keep a clean sheet 36% of the time, and duly kept one.

Brighton's trading profile (74 games, 37 away) set some clear expectations: BTTS lands in 65% of their matches — today it did not.

Form vs Result

The form lines were close — Leeds 1.74 PPG, Brighton 1.54 PPG — offering no strong steer, and the Leeds win broke the near-deadlock. Leeds (home/away splits) managed 1 against a 2.19 scoring average — below par going forward. Brighton (home/away splits) managed 0 against a 1.57 scoring average — below par going forward.

Verdict

Grading the result against the stored data, 2 of 3 pre-match signals came in: result (hit), Over 2.5 (hit), BTTS (miss). A mixed scorecard — the data caught the broad shape of the game but not every market.

💡 Key Insights