Mackenzie McDonald vs Trevor Svajda prediction for July 26, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Trevor Svajda 0 - Mackenzie McDonald 0. Trevor Svajda is favored with a 56.2% win probability.
Trevor Svajda
1434
Hard Elo
VS
Hard • ATP
Mackenzie McDonald
1387
Hard Elo
Match Win Probability
Trevor SvajdaMackenzie McDonald
Hard
Surface
Mubadala Citi DC Open
Tournament
10,000
Simulations
Calibrated accuracy at this confidence: 51.4% (13,991 games)
Match Context
Tournament
Mubadala Citi DC Open
Surface
Hard
Format
Best of 3 · ATP
Surface Elo Ratings (Hard)
Mackenzie McDonald
Trevor Svajda
Trevor Svajda leads by 47 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%
Mackenzie McDonald SPW
61.7%
Below tour avg
Trevor Svajda SPW
64.0%
Above tour avg
● Trevor Svajda has a slight serve edge (+2.2%)
Odds & Edge
Key Matchup Factors
- Trevor Svajda has a moderate 47-point Elo edge on Hard
- Hard court provides a neutral surface — favors all-court players
- Trevor Svajda has the stronger serve profile on this surface
Surface Elo v1.0 · Barnett-Clarke serve model · 10,000 simulations · ATP
Model Edge & Sizing
Edge Analysis
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 →
Permanent record: this game page is retired 90 days after the event. The full graded Tennis 2026 record — every pick, win rate, units and ROI — lives on the Tennis 2026 season report card.