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J. Ruggeri vs M. Sherif — Prediction & Analysis

Brescia (Italy) - Qualification · Brescia - 1/8-finals · June 18, 2026 · 10:30 UTC

TennisEdge's AI model finds no betting value in J. Ruggeri vs M. Sherif (Brescia (Italy) - Qualification on 2026-06-18) — the market is efficient, with M. Sherif favoured at 1.22.

Surface clay Odds J. Ruggeri 3.38 · M. Sherif 1.22

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. Ruggeri · M. Sherif · head-to-head record · Brescia (Italy) - Qualification

Model probabilities

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

Method J. Ruggeri M. Sherif
Elo
ratings-based, surface-weighted
44.0% 56.0%
Machine learning
29-feature gradient-boosted model
22.9% 77.1%
Serve / return
point-by-point simulation
56.4% 43.6%
Blend
what the bot actually prices off
31.8% 68.2%
Market implied
de-vigged from the opening odds
26.5% 73.5%

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

Elo ratings

PlayerSurfaceEloRecordMatches
J. Ruggeri clay1610 84–71155
M. Sherif clay1837 179–72251

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 July 24, 2026.

Head to head

M. Sherif leads 1–0 over 1 meeting. Full record.

DateEventSurfaceWinnerScore
June 18, 2026Brescia (Italy) - QualificationclayM. Sherif2 - 1

Recent form

J. Ruggeri

L F. Jones 2 - 1 July 24, 2026
W L. Radivojevic 2 - 1 July 22, 2026
W A. K. Toth 1 - 2 July 20, 2026
L T. Kostovic 2 - 0 July 14, 2026
L A. Vrancken Peeters 2 - 1 July 7, 2026

M. Sherif

L T. Korpatsch 0 - 1 July 25, 2026
W P. Badosa 2 - 1 July 24, 2026
W E. Jacquemot 2 - 0 July 23, 2026
W S. Waltert 1 - 2 July 22, 2026
W P. Badosa 1 - 0 July 20, 2026

All June 18, 2026 results & picks →

Full analysis

Math-only prediction: no LLM calls used