ATP/WTA Tennis

Inaki Montes-De La Torre vs Maxime Chazal Prediction

July 1, 2026

10,000 Monte Carlo simulations

Inaki Montes-De La Torre vs Maxime Chazal prediction for July 1, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Maxime Chazal 0 - Inaki Montes-De La Torre 0. Inaki Montes-De La Torre is favored with a 69.5% win probability.

Maxime Chazal
1514
Hard Elo
VS Hard • ATP
Inaki Montes-De La Torre
1670
Hard Elo
Match Win Probability
30.5%
69.5%
Maxime ChazalInaki Montes-De La Torre
Hard
Surface
ATP Challenger Troyes - R16
Tournament
10,000
Simulations
Calibrated accuracy at this confidence: 65.4% (6,507 games)

Match Context

Tournament
ATP Challenger Troyes - R16
Surface
Hard
Format
Best of 3 · ATP

Surface Elo Ratings (Hard)

Inaki Montes-De La Torre
1670
Maxime Chazal
1514
Inaki Montes-De La Torre leads by 156 Elo points on Hard

Serve & Return Analysis

Serve Points Won % (SPW) is the single most predictive metric in tennis. ATP average on Hard: 63.5%

Inaki Montes-De La Torre SPW
63.4%
Below tour avg
Maxime Chazal SPW
56.9%
Below tour avg
● Inaki Montes-De La Torre has a significant serve advantage (+6.6%)

Market Odds & Model Edge

Inaki Montes-De La Torre ML
-495
Model: 70%
Edge: -13.7%
Maxime Chazal ML
+374
Model: 30%
Edge: +9.4%
Model Projection
Maxime Chazal ML +374 · +9.4% edge

Key Matchup Factors

Surface Elo v1.0 · Barnett-Clarke serve model · 10,000 simulations · ATP

Edge Analysis

Moneyline
Inaki Montes-De La Torre 69.5%
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How this prediction was generated: This page shows output from the Olympus Bets ATP/WTA Tennis Monte Carlo engine. Each game is simulated 10,000 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 →

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