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Prediction vindicated as Athletic Club edge out Sevilla 0-1.

📝 Match Report

How It Unfolded

Athletic Club beat Sevilla 0-1 at Estadio Ramón Sánchez Pizjuán, Regular Season - 28, in the La Liga. The remainder of the report sets that outcome against the pre-match model, the markets and the teams' data profiles.

The Model vs The Result

The Poisson model went into this projecting Sevilla 1.01 xG and Athletic Club 1.33 xG, a combined 2.33. The scoreboard read 0-1 for 1 actual goal. Sevilla fell 1.0 short of their projected output. Those figures were built on strength ratings of Sevilla attack 0.79 / defence 1.10 against Athletic Club attack 1.06 / defence 0.89, drawn from 65/65 games (CurrentSeason).

On the result, the model split it Sevilla 28% | Draw 28% | Athletic Club 44%, with Athletic Club to win its most likely call at 44%. The result followed the model's preferred path, landing its top-rated outcome.

Goals & Markets

The model rated Over 2.5 goals at 41%. The game delivered 1, so it stayed under — in line with the projection. Over 1.5 had been 68% and missed. On both teams to score, the model sat at 47% and the match did not — another call in the model's favour. Historically the two sides average 44% Over 2.5 across their same-competition games (Sevilla 45%, Athletic Club 43%), a base rate that agreed with today's under. Their combined BTTS history runs at 54%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Sevilla's trading profile (65 games, 32 home) set some clear expectations: BTTS lands in 57% of their matches — today it did not.

Athletic Club's trading profile (65 games, 32 away) set some clear expectations: BTTS lands in 51% of their matches — today it did not; they keep a clean sheet 38% of the time, and duly kept one.

Form vs Result

On form, Athletic Club arrived the stronger side — 1.80 PPG against 1.18. Form held, and they took the win. Sevilla (home/away splits) managed 0 against a 1.22 scoring average — below par going forward. Athletic Club (home/away splits) conceded 0 against a 1.06 average — tighter than their form line.

Verdict

Grading the result against the stored data, 4 of 4 pre-match signals came in: result (hit), Over 2.5 (hit), BTTS (hit), form (hit). A strong night for the model: the result sat comfortably inside what the pre-match data projected.

💡 Key Insights