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Sevilla and Rayo Vallecano share the spoils in a 1-1 draw.

📝 Match Report

How It Unfolded

The points were shared at Estadio Ramón Sánchez Pizjuán, Regular Season - 27, as Sevilla and Rayo Vallecano drew 1-1 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 Sevilla 1.41 xG and Rayo Vallecano 1.01 xG, a combined 2.41. The scoreboard read 1-1 for 2 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 Sevilla attack 0.86 / defence 1.13 against Rayo Vallecano attack 0.78 / defence 1.08, drawn from 64/64 games (CurrentSeason).

On the result, the model split it Sevilla 46% | Draw 27% | Rayo Vallecano 27%, with Sevilla to win its most likely call at 46%. The actual draw had been the model's second-ranked read at 27%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 43%. The game delivered 2, so it stayed under — a call the model got right. Over 1.5 had been 69% and landed. On both teams to score, the model sat at 48% 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 (Sevilla 48%, Rayo Vallecano 44%), a base rate that agreed with today's under. Their combined BTTS history runs at 55%, which matched the both-scored outcome.

Trading Patterns vs Reality

Sevilla's trading profile (64 games, 32 home) set some clear expectations: BTTS lands in 58% of their matches — today it did.

Rayo Vallecano's trading profile (64 games, 32 away) set some clear expectations: BTTS lands in 52% of their matches — today it did.

Form vs Result

The form lines were close — Sevilla 1.11 PPG, Rayo Vallecano 1.28 PPG — offering no strong steer, and the draw fit that even billing.

Verdict

Grading the result against the stored data, 1 of 3 pre-match signals came in: result (miss), Over 2.5 (hit), 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