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Shock result as Everton defy the odds to beat Crystal Palace 1-2.

📝 Match Report

How It Unfolded

Everton beat Crystal Palace 1-2 at Selhurst Park, Regular Season - 25, 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 Crystal Palace 1.09 xG and Everton 1.03 xG, a combined 2.11. The scoreboard read 1-2 for 3 actual goals. Everton outscored their 1.03 projection by 1.0. Those figures were built on strength ratings of Crystal Palace attack 0.85 / defence 1.08 against Everton attack 0.63 / defence 0.84, drawn from 62/62 games (CurrentSeason).

On the result, the model split it Crystal Palace 35% | Draw 32% | Everton 32%, with Crystal Palace to win its most likely call at 35%. The actual Everton win had been the model's second-ranked read at 32%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 35%. The game delivered 3, so it went over — the opposite of the projected direction. Over 1.5 had been 64% and landed. On both teams to score, the model sat at 44% 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 (Crystal Palace 50%, Everton 42%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 48%, which did not match the both-scored outcome.

Trading Patterns vs Reality

Crystal Palace's trading profile (62 games, 30 home) set some clear expectations: BTTS lands in 58% of their matches — today it did.

Everton's trading profile (62 games, 30 away) set some clear expectations: BTTS lands in 37% of their matches — today it did; they keep a clean sheet 36% of the time, and conceded here.

Form vs Result

The form lines were close — Crystal Palace 1.27 PPG, Everton 1.21 PPG — offering no strong steer, and the Everton win broke the near-deadlock. Everton (home/away splits) scored 2 against a 0.83 average — above their attacking norm.

Verdict

Grading the result against the stored data, 0 of 3 pre-match signals came in: result (miss), 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