Morocco vs France prediction for July 9, 2026: Our Monte Carlo simulation ran 5,000 game iterations and projects France 1.93 - Morocco 0.97. France is favored with a 60.6% win probability. Expected total goals: 2.9..
France
1.93
Projected Goals
VS
2.9 total
Morocco
0.97
Projected Goals
Match Outcome Probabilities
FranceDrawMorocco
Calibrated accuracy at this confidence: 66.7% (1,137 games)
Projected Goals Range 10th – 90th percentile
Morocco
0.21.01.7
France
1.21.92.7
Projected
France 1.93 — Morocco 0.97
Actual
France 2 — Morocco 0
Expected Goals (xG)
France1.93
Morocco0.97
21.3Shots18.9
7.8On Target6.8
6.7Corners6.3
Goal Probabilities
Over 0.5
99.2%
Over 1.5
79.3%
Over 2.5
48.6%
Over 3.5
48.3%
Under 2.5
51.4%
BTTS
65.1%
Most Likely Scores
1-1
11.3%
2-0
10.4%
2-1
10.1%
1-0
9.9%
3-0
6.7%
Match Context
WCCritical
France
1.61
Draw
3.95
Morocco
6.90
AI Intelligence Analysis
NEUTRAL -1YELLOW ZONE45.4% WR (n=66)
Market is correctly priced on France home (-1.9% model edge is margin of error); home ML is in YELLOW zone; draw risk higher than model admits; no +EV opportunity on slate.
Key Factors
- Home ML in YELLOW profitability zone: 45.4% WR (n=66) — historically underperforms vs betting threshold
- Model-market misalignment negligible: France 60.17% model vs 62.11% market = -1.9% gap (NEUTRAL, noise level)
- xG quality mismatch exists but is dampened by WC semifinal context: France 1.92 xGF vs Morocco 0.97 XGF = 0.95 advantage, but defensive setup in knockout means low conversion
- Draw probability likely inflated by model: 21.72% draw vs 15-18% realistic for WC knockouts (low-scoring defensive play)
- Over 2.5 severe miscalibration: Model 48.33% Over vs realistic 15-20% (requires 3+ goals in defensive WC semifinal) — YELLOW zone 49.4% WR confirms totals unreliable
Risk Factors
- Home ML in RED/YELLOW zones globally — betting against 45.4% historical WR is high-risk despite current matchup quality
- Lineup NOT confirmed — model run without confirmed team sheets; late tactical/injury changes could shift edge
- WC tournament variance — draws historically 25% in knockouts vs 22% model predicts; model underestimating defensive setup
HOME ML TRAPDRAW RISKYELLOW ZONEMODEL MARKET CONFLICTDATA INTEGRITYBTTS BLOCKED
Edge Analysis
Moneyline
France 60.6%
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Total
2.9
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How this prediction was generated: This page shows output from the Olympus Bets Soccer Monte Carlo engine. Each game is simulated 5,000 times using real-time team data, injury reports, and current odds. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Full methodology →