UPCOMING • 4/26/2026

SBV Excelsior

VS

FC Utrecht

💡 Engine Insight

Model projects a balanced fixture with moderate goal expectancy. No extreme value detected across primary markets.

⚡ SpinBonus EV Engine™
BEST: Under 2.5 +1.5%
Match Result (1X2)
Home Win
Model: 24.0% • Implied: 24.8%
-3.2%
— NO EDGE
Draw
Model: 26.5% • Implied: 28.2%
-5.9%
— NO EDGE
Away Win
Model: 49.5% • Implied: 49.0%
+1%
✅ VALUE
📊 Over/Under 2.5
Over 2.5
Model: 42.9% • Implied: 42.8%
+0.3%
⚖️ FAIR
Under 2.5
Model: 57.1% • Implied: 56.2%
+1.5%
✅ VALUE
🎯 Both Teams to Score
Yes
Model: 46.6% • Implied: 46.3%
+0.7%
⚖️ FAIR
No
Model: 53.4% • Implied: 52.7%
+1.3%
✅ VALUE
💡 +EV Detected: Optimize Your Market Edge

Our model identified a +1.5% edge on Under 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 CONFIDENCE72%
📈 9 matches analyzedStrong data foundation: 9 matches analyzed with basic metrics.

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📖 Match Preview & Analysis

The Eredivisie clash between SBV Excelsior and FC Utrecht arrives with a clear statistical narrative. Our Poisson regression model projects FC Utrecht as a moderate favorite, assigning them a 49.5% probability of winning, versus 24.0% for SBV Excelsior. A draw sits at 26.5%.

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

Model Insight: Model projects a balanced fixture with moderate goal expectancy. No extreme value detected across primary markets.

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 SBV Excelsior & FC Utrecht stand in Eredivisie
Eredivisie Table →More Fixtures

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SpinBonus Data Team
Quantitative Sports Analysts

Predictions and EV calculations on this page are generated algorithmically. We are not tipsters. Our goal is to detect mathematical value (+EV) using objective data points.

Methodology & Data Sources