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Prediction vindicated as Real Betis edge out Sevilla 2-1.

📝 Match Report

How It Unfolded

Real Betis beat Sevilla 2-1 at Estadio Benito Villamarín, Regular Season - 29, 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 Real Betis 1.47 xG and Sevilla 1.28 xG, a combined 2.74. 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 Real Betis attack 1.12 / defence 0.94 against Sevilla attack 1.16 / defence 0.92, drawn from 66/66 games (CurrentSeason).

On the result, the model split it Real Betis 42% | Draw 25% | Sevilla 33%, with Real Betis to win its most likely call at 42%. The result followed the model's preferred path, landing its top-rated outcome.

Goals & Markets

The model rated Over 2.5 goals at 52%. The game delivered 3, so it went over — in line with the projection. Over 1.5 had been 76% and landed. On both teams to score, the model sat at 55% and the match saw both sides score — another call in the model's favour. Historically the two sides average 44% Over 2.5 across their same-competition games (Real Betis 44%, Sevilla 44%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 58%, which matched the both-scored outcome.

Trading Patterns vs Reality

Real Betis's trading profile (66 games, 33 home) set some clear expectations: BTTS lands in 59% of their matches — today it did; they keep a clean sheet 30% of the time, and conceded here.

Sevilla's trading profile (66 games, 33 away) set some clear expectations: BTTS lands in 56% of their matches — today it did.

Form vs Result

The form lines were close — Real Betis 1.53 PPG, Sevilla 1.17 PPG — offering no strong steer, and the Real Betis win broke the near-deadlock.

Verdict

Grading the result against the stored data, 3 of 3 pre-match signals came in: result (hit), Over 2.5 (hit), BTTS (hit). A strong night for the model: the result sat comfortably inside what the pre-match data projected.

💡 Key Insights