UPCOMING • 5/17/2026

SE Palmeiras

VS

Cruzeiro EC

💡 Engine Insight

Defensive metrics dominate this fixture. Under 2.5 goals projects as the highest-probability outcome.

LOW SCORING POTENTIALDRAW RISK
⚡ SpinBonus EV Engine™
BEST: Under 2.5 +2.5%
Match Result (1X2)
Home Win
Model: 28.1% • Implied: 28.7%
-2.1%
— NO EDGE
Draw
Model: 34.9% • Implied: 36.2%
-3.5%
— NO EDGE
Away Win
Model: 37.0% • Implied: 37.1%
-0.4%
⚖️ FAIR
📊 Over/Under 2.5
Over 2.5
Model: 22.2% • Implied: 23.1%
-3.9%
— NO EDGE
Under 2.5
Model: 77.8% • Implied: 75.9%
+2.5%
✅ VALUE
🎯 Both Teams to Score
Yes
Model: 30.6% • Implied: 31.1%
-1.5%
⚖️ FAIR
No
Model: 69.4% • Implied: 67.9%
+2.2%
✅ VALUE
💡 +EV Detected: Optimize Your Market Edge

Our model identified a +2.5% 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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🟡 MODERATE CONFIDENCE63%
📈 6 matches analyzedModerate data depth: 6 matches. Missing xG data reduces confidence.

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📖 Match Preview & Analysis

The Campeonato Brasileiro Série A clash between SE Palmeiras and Cruzeiro EC arrives with a clear statistical narrative. Our Poisson regression model projects Cruzeiro EC as a slight edge, assigning them a 37.0% probability of winning, versus 28.1% for SE Palmeiras. A draw sits at 34.9%.

Recent form favors neither side clearly. SE Palmeiras has 2 wins and 1 losses in their last 5 fixtures, while Cruzeiro EC records 2 wins and 2 losses over a similar span.

Model Insight: Defensive metrics dominate this fixture. Under 2.5 goals projects as the highest-probability outcome.

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

Explore More
See where SE Palmeiras & Cruzeiro EC stand in Campeonato Brasileiro Série A
Campeonato Brasileiro Série A Table →More Fixtures

💬 Match Discussion(0)

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🧮 How was this prediction calculated?

Win probabilities for SE Palmeiras vs Cruzeiro EC 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
MEDIUM · 63%
Matches Analysed
6
xG Trend
0.70
H2H Avg Goals
1.9
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