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R. Bautista-Agut vs F. Maestrelli — Prediction & Analysis

Rome · ATP Rome - 1/64-finals · May 6, 2026 · 11:00 UTC

TennisEdge's AI model finds no betting value in R. Bautista-Agut vs F. Maestrelli (Rome on 2026-05-06) — the market is efficient, with R. Bautista-Agut favoured at 1.59.

Surface clay Odds R. Bautista-Agut 1.59 · F. Maestrelli 2.35

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: R. Bautista-Agut · F. Maestrelli · 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 R. Bautista-Agut F. Maestrelli
Elo
ratings-based, surface-weighted
52.4% 47.6%
Machine learning
29-feature gradient-boosted model
63.0% 37.0%
Serve / return
point-by-point simulation
42.8% 57.2%
Blend
what the bot actually prices off
52.8% 47.2%
Market implied
de-vigged from the opening odds
59.6% 40.4%

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

Elo ratings

PlayerSurfaceEloRecordMatches
R. Bautista-Agut hard1665 76–77153
F. Maestrelli clay1524 104–100204

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 March 20, 2026.

Head to head

R. Bautista-Agut leads 1–0 over 1 meeting. Full record.

DateEventSurfaceWinnerScore
May 7, 2026RomeclayR. Bautista-Agut2 - 0

Recent form

R. Bautista-Agut

L J. Fonseca 0 - 3 June 29, 2026
L G. Mpetshi Perricard 1 - 2 June 26, 2026
L R. Collignon 2 - 0 June 14, 2026
W B. Sanchez Martinez 0 - 2 June 13, 2026
L M. Giron 0 - 2 June 9, 2026

F. Maestrelli

L J. P. Varillas 1 - 2 July 30, 2026
W L. Neumayer 2 - 0 July 28, 2026
L O. Milic 1 - 2 June 30, 2026
L M. Basing 1 - 2 June 22, 2026
L A. Galarneau 2 - 0 June 15, 2026

All May 6, 2026 results & picks →

Full analysis

Math-only prediction: no LLM calls used