UPCOMING • 5/13/2026

Villarreal CF

VS

Sevilla FC

💡 Engine Insight

Combined goal expectancy exceeds 3.0, indicating an open, attack-heavy match profile. Over 2.5 market shows elevated probability.

HIGH SCORING POTENTIALBTTS LIKELYGOALS EXPECTED
⚡ SpinBonus EV Engine™
BEST: Over 2.5 +2.5%
Match Result (1X2)
Home Win
Model: 35.4% • Implied: 35.6%
-0.6%
⚖️ FAIR
Draw
Model: 20.1% • Implied: 22.1%
-9%
— NO EDGE
Away Win
Model: 44.5% • Implied: 44.3%
+0.5%
⚖️ FAIR
📊 Over/Under 2.5
Over 2.5
Model: 78.7% • Implied: 76.8%
+2.5%
✅ VALUE
Under 2.5
Model: 21.3% • Implied: 22.2%
-4.2%
— NO EDGE
🎯 Both Teams to Score
Yes
Model: 76.5% • Implied: 74.7%
+2.4%
✅ VALUE
No
Model: 23.5% • Implied: 24.3%
-3.4%
— NO EDGE
💡 +EV Detected: Optimize Your Market Edge

Our model identified a +2.5% edge on Over 2.5. To effectively capture this mathematical value without losing returns to bookmaker margins (vig), this transaction should strictly be executed on a low-commission exchange.

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🟢 HIGH CONFIDENCE75%
📈 12 matches analyzedStrong data foundation: 12 matches analyzed with basic metrics.

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📖 Match Preview & Analysis

The Primera Division clash between Villarreal CF and Sevilla FC arrives with a clear statistical narrative. Our Poisson regression model projects Sevilla FC as a slight edge, assigning them a 44.5% probability of winning, versus 35.4% for Villarreal CF. A draw sits at 20.1%.

Recent form favors neither side clearly. Villarreal CF has 2 wins and 1 losses in their last 5 fixtures, while Sevilla FC records 2 wins and 2 losses over a similar span.

Model Insight: Combined goal expectancy exceeds 3.0, indicating an open, attack-heavy match profile. Over 2.5 market shows elevated probability.

This match profiles as a tight contest. Double chance and BTTS markets often yield better Expected Value than 1X2 in matches with this probability spread.

Explore More
See where Villarreal CF & Sevilla FC stand in Primera Division
Primera Division Table →More Fixtures

💬 Match Discussion(0)

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🧮 How was this prediction calculated?

Win probabilities for Villarreal CF vs Sevilla FC are produced by a Poisson regression model using each side's attack and defence rates against league average. The expected goal counts (λ values) feed a 7×7 score matrix; we then sum the cells to get 1X2, Over/Under and BTTS probabilities. Expected Value is calculated by comparing model probability to the bookmaker implied probability after stripping the overround.

# Poisson per-team expected goals
λ_home = avg_home_goals × home_attack × away_defence
λ_away = avg_away_goals × away_attack × home_defence
# Probability of exact score (h, a)
P(h, a) = (e^-λ_home · λ_home^h / h!) · (e^-λ_away · λ_away^a / a!)
# Expected Value
EV % = (model_probability × decimal_odds − 1) × 100
Confidence
HIGH · 75%
Matches Analysed
12
xG Trend
2.00
H2H Avg Goals
3.3
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