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Espanyol cruise to a comfortable 0-2 victory over Oviedo.

📝 Match Report

How It Unfolded

Espanyol beat Oviedo 0-2 at Estadio Nuevo Carlos Tartiere, Regular Season - 9, 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 Oviedo 0.87 xG and Espanyol 1.25 xG, a combined 2.12. The scoreboard read 0-2 for 2 actual goals. Oviedo fell 0.9 short of their projected output. Those figures were built on strength ratings of Oviedo attack 0.60 / defence 1.31 against Espanyol attack 0.84 / defence 0.98, drawn from 8/46 games (CurrentSeason).

On the result, the model split it Oviedo 25% | Draw 30% | Espanyol 45%, with Espanyol to win its most likely call at 45%. The result followed the model's preferred path, landing its top-rated outcome.

Goals & Markets

The model rated Over 2.5 goals at 36%. The game delivered 2, so it stayed under — in line with the projection. Over 1.5 had been 63% and landed. On both teams to score, the model sat at 42% and the match did not — another call in the model's favour. Historically the two sides average 50% Over 2.5 across their same-competition games (Oviedo 38%, Espanyol 62%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 44%, which matched the one-sided outcome.

Trading Patterns vs Reality

Oviedo's trading profile (8 games, 3 home) set some clear expectations: BTTS lands in 25% of their matches — today it did not; they fail to score in 62% of games, a blank that repeated today.

Espanyol's trading profile (8 games, 3 away) set some clear expectations: BTTS lands in 62% of their matches — today it did not.

Form vs Result

On form, Espanyol arrived the stronger side — 1.50 PPG against 0.75. Form held, and they took the win. Espanyol (home/away splits) scored 2 against a 0.67 average — above their attacking norm and conceded 0 against a 1.33 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