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F. Auger-Aliassime vs M. Navone — Prediction & Analysis

Rome · ATP Rome - 1/32-finals · May 8, 2026 · 11:00 UTC

TennisEdge's AI model finds no betting value in F. Auger-Aliassime vs M. Navone (Rome on 2026-05-08) — the market is efficient, with F. Auger-Aliassime favoured at 1.57.

Surface clay Odds F. Auger-Aliassime 1.57 · M. Navone 2.37

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: F. Auger-Aliassime · M. Navone · head-to-head record · Rome

Model probabilities

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

Method F. Auger-Aliassime M. Navone
Elo
ratings-based, surface-weighted
34.0% 66.0%
Machine learning
29-feature gradient-boosted model
35.4% 64.6%
Serve / return
point-by-point simulation
57.0% 43.0%
Blend
what the bot actually prices off
42.2% 57.8%
Market implied
de-vigged from the opening odds
60.2% 39.8%

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

Elo ratings

PlayerSurfaceEloRecordMatches
F. Auger-Aliassime hard1996 169–85254
M. Navone clay1815 195–108303

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 April 4, 2026.

Head to head

M. Navone leads 2–0 over 2 meetings. Full record.

DateEventSurfaceWinnerScore
May 9, 2026RomeclayM. Navone2 - 0
April 15, 2025MunichclayM. Navone2 - 1

Recent form

F. Auger-Aliassime

L N. Djokovic 2 - 3 July 7, 2026
W A. Davidovich Fokina 3 - 2 July 5, 2026
W M. Zheng 3 - 0 July 3, 2026
W D. Prizmic 3 - 0 July 1, 2026
W A. Shevchenko 3 - 0 June 29, 2026

M. Navone

W M. Berrettini 1 - 2 Aug. 3, 2026
L Q. Halys 0 - 2 July 23, 2026
W J-L. Struff 0 - 2 July 22, 2026
W A. Muller 0 - 2 July 20, 2026
L S. Travaglia 2 - 0 July 15, 2026

All May 8, 2026 results & picks →

Full analysis

Math-only prediction: no LLM calls used