UPCOMING • 4/26/2026

VfB Stuttgart

VS

SV Werder Bremen

💡 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 +2.6%
Match Result (1X2)
Home Win
Model: 27.2% • Implied: 27.8%
-2.3%
— NO EDGE
Draw
Model: 18.4% • Implied: 20.5%
-10.2%
— NO EDGE
Away Win
Model: 54.4% • Implied: 53.7%
+1.3%
✅ VALUE
📊 Over/Under 2.5
Over 2.5
Model: 81.8% • Implied: 79.7%
+2.6%
✅ VALUE
Under 2.5
Model: 18.2% • Implied: 19.3%
-5.7%
— NO EDGE
🎯 Both Teams to Score
Yes
Model: 77.7% • Implied: 75.8%
+2.5%
✅ VALUE
No
Model: 22.3% • Implied: 23.2%
-3.8%
— NO EDGE
💡 +EV Detected: Optimize Your Market Edge

Our model identified a +2.6% 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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🟡 MODERATE CONFIDENCE49%
📈 8 matches analyzedModerate data depth: 8 matches.

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📖 Match Preview & Analysis

The Bundesliga clash between VfB Stuttgart and SV Werder Bremen arrives with a clear statistical narrative. Our Poisson regression model projects SV Werder Bremen as a moderate favorite, assigning them a 54.4% probability of winning, versus 27.2% for VfB Stuttgart. A draw sits at 18.4%.

Recent form favors VfB Stuttgart. VfB Stuttgart has 2 wins and 2 losses in their last 5 fixtures, while SV Werder Bremen records 1 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 VfB Stuttgart & SV Werder Bremen stand in Bundesliga
Bundesliga 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