UPCOMING • 5/16/2026

1. FC Heidenheim 1846

VS

1. FSV Mainz 05

💡 Engine Insight

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

⚡ SpinBonus EV Engine™
BEST: Home Win +1.3%
Match Result (1X2)
Home Win
Model: 53.7% • Implied: 53.0%
+1.3%
✅ VALUE
Draw
Model: 24.8% • Implied: 26.6%
-6.6%
— NO EDGE
Away Win
Model: 21.6% • Implied: 22.5%
-4.1%
— NO EDGE
📊 Over/Under 2.5
Over 2.5
Model: 47.1% • Implied: 46.7%
+0.8%
⚖️ FAIR
Under 2.5
Model: 52.9% • Implied: 52.3%
+1.2%
✅ VALUE
🎯 Both Teams to Score
Yes
Model: 48.7% • Implied: 48.3%
+0.9%
⚖️ FAIR
No
Model: 51.3% • Implied: 50.7%
+1.1%
✅ VALUE
💡 +EV Detected: Optimize Your Market Edge

Our model identified a +1.3% edge on Home Win. 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 CONFIDENCE85%
📈 17 matches analyzedStrong data foundation: 17 matches analyzed with xG metrics.

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📖 Match Preview & Analysis

The Bundesliga clash between 1. FC Heidenheim 1846 and 1. FSV Mainz 05 arrives with a clear statistical narrative. Our Poisson regression model projects 1. FC Heidenheim 1846 as a moderate favorite, assigning them a 53.7% probability of winning, versus 21.6% for 1. FSV Mainz 05. A draw sits at 24.8%.

Recent form favors 1. FC Heidenheim 1846. 1. FC Heidenheim 1846 has 2 wins and 2 losses in their last 5 fixtures, while 1. FSV Mainz 05 records 1 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 1. FC Heidenheim 1846 & 1. FSV Mainz 05 stand in Bundesliga
Bundesliga Table →More Fixtures

💬 Match Discussion(0)

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🧮 How was this prediction calculated?

Win probabilities for 1. FC Heidenheim 1846 vs 1. FSV Mainz 05 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 · 85%
Matches Analysed
17
xG Trend
1.60
H2H Avg Goals
1.9
📊
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