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Levante cruise to a comfortable 2-0 victory over Sevilla.

📝 Match Report

How It Unfolded

Levante beat Sevilla 2-0 at Estadio Ciudad de Valencia, Regular Season - 33, in the La Liga. 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 Levante 1.56 xG and Sevilla 1.30 xG, a combined 2.86. The scoreboard read 2-0 for 2 actual goals. Sevilla landed 1.3 under their projected return. Those figures were built on strength ratings of Levante attack 0.83 / defence 1.11 against Sevilla attack 1.04 / defence 1.22, drawn from 31/69 games (CurrentSeason).

On the result, the model split it Levante 44% | Draw 25% | Sevilla 32%, with Levante to win its most likely call at 44%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 54%. The game delivered 2, so it stayed under — the opposite of the projected direction. Over 1.5 had been 78% and landed. On both teams to score, the model sat at 57% and the match did not — a miss on BTTS. Historically the two sides average 50% Over 2.5 across their same-competition games (Levante 42%, Sevilla 58%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 55%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Levante's trading profile (31 games, 15 home) set some clear expectations: BTTS lands in 48% of their matches — today it did not.

Sevilla's trading profile (31 games, 15 away) set some clear expectations: BTTS lands in 61% of their matches — today it did not.

Form vs Result

The form lines were close — Levante 0.94 PPG, Sevilla 1.10 PPG — offering no strong steer, and the Levante win broke the near-deadlock. Levante (home/away splits) scored 2 against a 1.13 average — above their attacking norm and conceded 0 against a 1.53 average — tighter than their form line. Sevilla (home/away splits) managed 0 against a 1.20 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