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H. Tan vs M. Pohankova — Prediction & Analysis

Wimbledon · WTA Wimbledon - Quarter-finals · June 23, 2026 · 12:00 UTC

TennisEdge's AI model finds no betting value in H. Tan vs M. Pohankova (Wimbledon on 2026-06-23) — the market is efficient, with M. Pohankova favoured at 1.55.

Surface grass Odds H. Tan 2.23 · M. Pohankova 1.55

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: H. Tan · M. Pohankova · 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 H. Tan M. Pohankova
Elo
ratings-based, surface-weighted
37.3% 62.7%
Machine learning
29-feature gradient-boosted model
43.7% 56.3%
Serve / return
point-by-point simulation
54.8% 45.2%
Blend
what the bot actually prices off
37.3% 62.7%
Market implied
de-vigged from the opening odds
41.0% 59.0%

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

Elo ratings

PlayerSurfaceEloRecordMatches
H. Tan hard1606 144–100244
M. Pohankova hard1686 33–1144

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 15, 2026.

Head to head

H. Tan leads 2–0 over 2 meetings. Full record.

DateEventSurfaceWinnerScore
June 23, 2026WimbledongrassH. Tan2 - 1
March 25, 2026 W50 Croissy-Beaubourg (France), Hard (Indoor)H. Tan2 - 1

Recent form

H. Tan

L H. Vandewinkel 1 - 0 July 17, 2026
W A. Gasanova 2 - 0 July 15, 2026
W L. Havlickova 2 - 1 July 14, 2026
L T. C. Grant 0 - 2 June 25, 2026
W E. Adeshina 0 - 2 June 24, 2026

M. Pohankova

L C. W. Hennemann 2 - 1 July 27, 2026
L M. Ristic 2 - 0 July 13, 2026
L E. Gorgodze 2 - 1 July 7, 2026
L H. Tan 2 - 1 June 23, 2026
L R. Masarova 2 - 0 June 15, 2026

All June 23, 2026 results & picks →

Full analysis

Math-only prediction: no LLM calls used