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Prediction vindicated as Crystal Palace edge out Southampton 2-1.

📝 Match Report

How It Unfolded

Crystal Palace beat Southampton 2-1 at Selhurst Park, Regular Season - 19, 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 1.22 xG and Southampton 0.82 xG, a combined 2.04. 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 Crystal Palace attack 0.82 / defence 1.12 against Southampton attack 0.51 / defence 0.99, drawn from 56/18 games (CurrentSeason).

On the result, the model split it Crystal Palace 43% | Draw 34% | Southampton 23%, with Crystal Palace to win its most likely call at 43%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 33%. The game delivered 3, so it went over — the opposite of the projected direction. Over 1.5 had been 63% and landed. On both teams to score, the model sat at 42% and the match saw both sides score — a miss on BTTS. Historically the two sides average 54% Over 2.5 across their same-competition games (Crystal Palace 52%, Southampton 55%), a base rate that agreed with today's over. Their combined BTTS history runs at 57%, which matched the both-scored outcome.

Trading Patterns vs Reality

Crystal Palace's trading profile (56 games, 28 home) set some clear expectations: BTTS lands in 59% of their matches — today it did.

Southampton's trading profile (56 games, 28 away) set some clear expectations: BTTS lands in 55% of their matches — today it did.

Form vs Result

The form lines were close — Crystal Palace 1.18 PPG, Southampton 1.48 PPG — offering no strong steer, and the Crystal Palace win broke the near-deadlock.

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