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D. Salkova vs M. Trevisan — Prediction & Analysis

Modena (Italy) - Qualification · Modena - 1/8-finals · June 10, 2026 · 16:30 UTC

TennisEdge's AI model finds no betting value in D. Salkova vs M. Trevisan (Modena (Italy) - Qualification on 2026-06-10) — the market is efficient, with D. Salkova favoured at 1.44.

Surface clay Odds D. Salkova 1.44 · M. Trevisan 2.62

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: D. Salkova · M. Trevisan · head-to-head record · Modena (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 D. Salkova M. Trevisan
Elo
ratings-based, surface-weighted
53.6% 46.4%
Machine learning
29-feature gradient-boosted model
58.3% 41.7%
Serve / return
point-by-point simulation
42.6% 57.4%
Blend
what the bot actually prices off
51.5% 48.5%
Market implied
de-vigged from the opening odds
64.5% 35.5%

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

Elo ratings

PlayerSurfaceEloRecordMatches
D. Salkova clay1614 97–70167
M. Trevisan clay1608 75–57132

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. 1, 2026.

Head to head

D. Salkova leads 1–0 over 1 meeting. Full record.

DateEventSurfaceWinnerScore
June 10, 2026Modena (Italy) - QualificationclayD. Salkova2 - 0

Recent form

D. Salkova

L L. Pigossi 2 - 0 Aug. 1, 2026
W A. Rus 0 - 2 July 31, 2026
W A-L. Friedsam 0 - 2 July 30, 2026
W L. Boskovic 1 - 2 July 29, 2026
L B. Krejcikova 0 - 2 July 24, 2026

M. Trevisan

L E. R. Bertea 0 - 2 Aug. 4, 2026
L N. Brancaccio 2 - 1 July 24, 2026
W F. Curmi 0 - 2 July 23, 2026
W F. Pace 0 - 2 July 22, 2026
W E. R. Bertea 2 - 0 July 21, 2026

All June 10, 2026 results & picks →

Full analysis

Math-only prediction: no LLM calls used