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R. Noguchi vs L. Nardi — Prediction & Analysis

Wimbledon · ATP Wimbledon - Quarter-finals · June 22, 2026 · 15:00 UTC

TennisEdge's AI model finds no betting value in R. Noguchi vs L. Nardi (Wimbledon on 2026-06-22) — the market is efficient, with L. Nardi favoured at 1.44.

Surface grass Odds R. Noguchi 2.62 · L. Nardi 1.44

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. Noguchi · L. Nardi · head-to-head record · Wimbledon

Model probabilities

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

Method R. Noguchi L. Nardi
Elo
ratings-based, surface-weighted
74.5% 25.5%
Machine learning
29-feature gradient-boosted model
26.4% 73.6%
Serve / return
point-by-point simulation
53.7% 46.3%
Blend
what the bot actually prices off
74.5% 25.5%
Market implied
de-vigged from the opening odds
35.5% 64.5%

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

Elo ratings

PlayerSurfaceEloRecordMatches
R. Noguchi hard1637 176–123299
L. Nardi hard1661 105–91196

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

L. Nardi leads 2–1 over 3 meetings. Full record.

DateEventSurfaceWinnerScore
June 22, 2026WimbledongrassL. Nardi2 - 0
March 3, 2023Pune Challenger MenhardL. Nardi2 - 0
April 20, 2021M15 Antalya 16clayR. Noguchi2 - 1

Recent form

R. Noguchi

L C. Broom 0 - 2 July 24, 2026
W K. Rice 2 - 1 July 22, 2026
W B. Shick 2 - 1 July 21, 2026
L M. Lajal 2 - 0 July 18, 2026
W D. Suresh 2 - 0 July 15, 2026

L. Nardi

L A. Guerrieri 0 - 2 July 11, 2026
L O. Virtanen 0 - 2 June 24, 2026
W R. Noguchi 0 - 2 June 22, 2026
L R. Bertola 1 - 2 June 15, 2026
W G. Hussey 2 - 0 June 14, 2026

All June 22, 2026 results & picks →

Full analysis

Math-only prediction: no LLM calls used