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J. Pegula vs M. Frech — Prediction & Analysis

Toronto · WTA Toronto - 1/32-finals · Aug. 6, 2026 · 14:00 UTC

TennisEdge's AI model finds no betting value in J. Pegula vs M. Frech (Toronto on 2026-08-06) — the market is efficient, with J. Pegula favoured at 1.15.

Surface hard Odds J. Pegula 1.15 · M. Frech 4.70

Verdict: no bet

The model found no value at current prices — the market has this one priced about right. That verdict is part of the public record too.
Profiles: J. Pegula · M. Frech · head-to-head record · Toronto

Model probabilities

Independent estimates of who wins, each from a different method. The blend is what the bot prices against the market.

Method J. Pegula M. Frech
Elo
ratings-based, surface-weighted
87.1% 12.9%
Machine learning
29-feature gradient-boosted model
87.0% 13.0%
Serve / return
point-by-point simulation
75.2% 24.8%
Blend
what the bot actually prices off
82.1% 17.9%
Market implied
de-vigged from the opening odds
80.3% 19.7%

We publish how well these score against the closing market, including where they lose: how accurate are tennis predictions?

Elo ratings

PlayerSurfaceEloRecordMatches
J. Pegula hard2077 192–73265
M. Frech hard1745 122–98220

Our own ratings, computed from match results since 2018. Players with fewer than 5 rated matches are omitted rather than shown at a provisional starting value. Last updated Aug. 3, 2026.

Head to head

J. Pegula leads 4–0 over 4 meetings. Full record.

DateEventSurfaceWinnerScore
July 30, 2026WashingtonhardJ. Pegula2 - 1
April 17, 2025StuttgartclayJ. Pegula2 - 0
April 28, 2023WTA MadridclayJ. Pegula2 - 0
Sept. 27, 2021Chicago 2hardJ. Pegula2 - 0

Recent form

J. Pegula

L A. Eala 1 - 2 Aug. 3, 2026
W D. Shnaider 2 - 0 Aug. 1, 2026
W A. Kalinskaya 2 - 0 July 31, 2026
W M. Frech 2 - 1 July 30, 2026
L C. Gauff 1 - 2 July 7, 2026

M. Frech

W L. Jeanjean 2 - 0 Aug. 3, 2026
L J. Pegula 2 - 1 July 30, 2026
W A. Li 2 - 0 July 28, 2026
L A. Kalinskaya 0 - 2 June 29, 2026
L N. Osaka 2 - 0 June 22, 2026

All Aug. 6, 2026 results & picks →

Full analysis

Math-only prediction: no LLM calls used