FC Metz 0-4 FC Lorient Result — Ligue 1 Final Score & Analysis

📊 Post-Match Model Analysis

❌ PROJECTION DEVIATION

Upset result. Model slightly overestimated FC Metz's win probability at 63.5%. Final: FC Metz 0-4 FC Lorient.

Historical Context: Pre-match model confidence was HIGH (75%). The Original projected win probability was FC Metz 63.5%, Draw 20.4%, FC Lorient 16.1%.

🧮 How was this prediction calculated?

Win probabilities for FC Metz vs FC Lorient 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

xG Trend

2.10

H2H Avg Goals

2.1

📊

SpinBonus Data Team

Quantitative Sports Analyst

View team profile →

Sources & References

Model: Poisson regression (Maher 1982; Dixon & Coles 1997)
Data: football-data.org · Sportmonks V3
xG concept: Expected Goals
Track record: Model Accuracy Log

FC Metz

FC Lorient

📊 Post-Match Model Analysis

🎯 Submit Your Pick

💬 Match Discussion(0)

🧮 How was this prediction calculated?