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A. Muller vs B. Van De Zandschulp — Prediction & Analysis

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

TennisEdge's AI model finds no betting value in A. Muller vs B. Van De Zandschulp (Rome on 2026-05-06) — the market is efficient, with B. Van De Zandschulp favoured at 1.66.

Surface clay Odds A. Muller 2.21 · B. Van De Zandschulp 1.66

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: A. Muller · B. Van De Zandschulp · 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 A. Muller B. Van De Zandschulp
Elo
ratings-based, surface-weighted
51.6% 48.4%
Machine learning
29-feature gradient-boosted model
54.2% 45.8%
Serve / return
point-by-point simulation
33.9% 66.1%
Blend
what the bot actually prices off
46.6% 53.4%
Market implied
de-vigged from the opening odds
42.9% 57.1%

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

Elo ratings

PlayerSurfaceEloRecordMatches
A. Muller clay1637 103–90193
B. Van De Zandschulp hard1749 108–84192

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

Level at 1–1 over 2 meetings. Full record.

DateEventSurfaceWinnerScore
May 6, 2026RomeclayB. Van De Zandschulp2 - 0
Feb. 22, 2023DohahardA. Muller2 - 0

Recent form

A. Muller

L G. Den Ouden 2 - 0 Aug. 3, 2026
L M. Poljicak 1 - 2 July 31, 2026
W M. Cecchinato 2 - 1 July 29, 2026
W S. Napolitano 2 - 0 July 27, 2026
L M. Navone 0 - 2 July 20, 2026

B. Van De Zandschulp

L J. Faria 0 - 2 July 21, 2026
L D. Vallejo 1 - 2 July 15, 2026
W T. Daniel 2 - 0 July 14, 2026
L R. Safiullin 3 - 2 July 1, 2026
W A. Kovacevic 1 - 3 June 29, 2026

All May 6, 2026 results & picks →

Full analysis

Math-only prediction: no LLM calls used