Sevilla vs Espanyol Statistics & Analysis

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

• League: La Liga
• Fixture: Sevilla vs Espanyol
• Kickoff: 2026-05-10 16:00:00
• 1X2 (model): Home 39.7% · Draw 32.1% · Away 28.2%
• xG (showing): Sevilla 1.23 — Espanyol 1.0 (total xG ≈ 2.23)
• Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
• Model: 61.5% · Implied: 58.8% · Probability edge: +2.7 pts · Est. EV: +2.7%
• BTTS (model): Yes 46.5% · No 53.5%
• Correct score (top bin): 1-0 (13.2%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

1X2 can look balanced even when side markets show clearer structure.

Top tracked +EV leg right now (hero card, non-primary grading): Under 2.5 goals.

Model probability is compared to implied probability from odds to highlight a probability edge; EV uses the same model probability with the best decimal price tracked.

Only one modest +EV edge is highlighted here; size cautiously and re-check if odds move.

Safer market than correct score?

Markets with more liquidity and smoother prices (often 1X2 or O/U 2.5 from many books) are usually easier to reason about than long-tail correct-score prices; still read EV on each leg.

Why might 1X2 look unattractive while totals do not?

Tight 1X2 prices often embed a fair three-way split, so EV on match-winner can sit negative even when Over/Under or BTTS still diverges from the model — compare the 1X2 row on the market cards to O/U and BTTS.

Is the most likely correct score a good bet?

Usually no as a standalone bet: the “most likely” scoreline is still a low absolute probability tail event (often single digits, sometimes low teens). Use it as context; keep any correct-score stake in the “fun / small” bucket.

What changes first if odds move?

Implied probabilities and EV move immediately with price; model probabilities in this snapshot do not update until the pipeline is re-run. Refresh after material line moves.

• Price movement: implied probabilities and EV move with odds.
• Sample / data gaps: low-information leagues widen forecast bands.
• In-play state: goals and red cards are not modelled here.
• Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

• Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
• Compliance: Educational framing only; not personalised advice.

May 17, 2026 (UTC)