TENNISEDGE.GG

E. Raducanu vs K. Rakhimova — Prediction & Analysis

London · WTA London - Quarter-finals · June 12, 2026 · 20:30 UTC

TennisEdge's AI model finds no betting value in E. Raducanu vs K. Rakhimova (London on 2026-06-12) — the market is efficient, with E. Raducanu favoured at 1.23.

Surface grass Odds E. Raducanu 1.23 · K. Rakhimova 4.28

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: E. Raducanu · K. Rakhimova · head-to-head record · London

Model probabilities

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

Method E. Raducanu K. Rakhimova
Elo
ratings-based, surface-weighted
61.5% 38.5%
Machine learning
29-feature gradient-boosted model
81.3% 18.7%
Serve / return
point-by-point simulation
40.3% 59.7%
Blend
what the bot actually prices off
61.0% 39.0%
Market implied
de-vigged from the opening odds
77.7% 22.3%

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

Elo ratings

PlayerSurfaceEloRecordMatches
E. Raducanu hard1737 66–51117
K. Rakhimova hard1705 109–97206

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 9, 2026.

Head to head

E. Raducanu leads 1–0 over 1 meeting. Full record.

DateEventSurfaceWinnerScore
June 13, 2026LondongrassE. Raducanu2 - 0

Recent form

E. Raducanu

L D. Vekic 2 - 0 June 14, 2026
W I. Jovic 2 - 0 June 13, 2026
W K. Rakhimova 2 - 0 June 13, 2026
W S. Cirstea 0 - 2 June 12, 2026
W A. Blinkova 2 - 0 June 9, 2026

K. Rakhimova

W V. Williams 2 - 0 Aug. 2, 2026
L H. Watson 0 - 2 July 25, 2026
L M. Sakkari 1 - 2 July 2, 2026
W A. Kalinina 1 - 2 June 30, 2026
L O. Selekhmeteva 1 - 2 June 20, 2026

All June 12, 2026 results & picks →

Full analysis

Qualitative override: The mathematical edge on Rakhimova is an artifact of model disagreement. The high-accuracy ML model (81.3%) aligns perfectly with the market price, suggesting the favorite is priced correctly. The ELO model likely undervalues Raducanu's specific grass-court aptitude and home-soil motivation.