TT Lossbeater/WTT Feeder Istanbul Women
WTT Feeder Istanbul WomenMatch #11881567
Played May 13Finished
Zauresh Akasheva
Home
7.00
At publish
Won last 1Form at publish
1–0Last 1Won last 1
Final
0 – 3
Set by set
711911711––––
Xiaoxin Yang
Away
1.08
At publish
Won last 1Form at publish
1–0Last 1Won last 1
How it is goingZauresh Akasheva above · Xiaoxin Yang below
Set 1 · 7-11
Set 2 · 9-11
Set 3 · 7-11
Point 56 set 3, 7-11
56 points played in total.
Signal confidence: 70% — Clear lean (leans Yang)
Decision Summary
Why this prediction
- Yang form (60%) is below what odds imply (92%)
Market vs Signals
Market oddsAkasheva 7.00 / Yang 1.08
Signal prob.31% / 70%
Edge (Yang)-17.1pp (anti-value)
WTT Feeder Istanbul Women · #11881567
Akasheva7.00
60%won 6 of 10 · last 10
oldest → newest
70%takes the first set · 7 of 10
Yang1.08
60%won 6 of 10 · last 10
oldest → newest
80%takes the first set · 8 of 10
Head to head
H2H window
First meeting
These two have never played each other. It is not a loading failure: there is no history. The career card below still stands — it is the only comparison available.
Career, not this matchup
MetricAkashevaYangBasisWin rate · lifetime6 / 10 vs 6 / 1060%60%6 / 10 vs 6 / 10Avg sets wonper match2.22.4per match
Deep Dive by Market
Each market builds on the overview aboveForecast
History
Forecastthe model predicts this marketHistorythis is what the H2H did — no prediction
Match Winner
YangAkasheva 7.00/Yang 1.08
Read onlywould have hit
What we said
69.5%
Yang · sealed before the serve
What happened
0–3
Yang won
Total sets · Score
These two have never met.
The three history tabs read the same head-to-head record, so they go down together — one message, not three empty cards. The three forecast tabs are unaffected and stay open.
Recent Results
Z. Akasheva10
LSep 3 · 13:20Z. Akasheva—146971E. Abraamian—121111113LSep 3 · 05:00Z. Akasheva5.00146971E. Abraamian1.14121111113LAug 8 · 08:45X. Ni1.2081111113Z. Akasheva4.33118681LJun 28 · 02:20Z. Akasheva3.25117971Z. Tan1.3391111113WJun 27 · 17:35D. Chitale1.18111110692Z. Akasheva3.95951211113WJun 26 · 19:55Z. Akasheva3.40113513113C. Kallberg1.30911111132WMay 12 · 15:10B. Rosu1.44681481Z. Akasheva2.63111112113LMay 4 · 10:50L. Bergstrom1.06101111113Z. Akasheva8.00126771WMay 4 · 09:35C. Kallberg1.13811811102Z. Akasheva5.50118116123WMay 1 · 18:30Z. Akasheva1.221111113J. Hauwaert4.007450
X. Yang10
LAug 11 · 11:45J. Zeng2.38671111113X. Yang1.5311114362WAug 9 · 19:05O. Paranang1.9011880X. Yang1.811311113WAug 9 · 18:30A. Tee4.7069110X. Yang1.131111133WAug 9 · 17:20O. Paranang2.1011880X. Yang1.671311113WAug 9 · 11:30A. Tee5.0069110X. Yang1.141111133WAug 8 · 15:40A. Nilsson7.1230X. Yang1.0573LJun 28 · 01:40E. Zaharia4.501111113X. Yang1.173460WJun 27 · 03:25D. Ortega4.65118561X. Yang1.1381111113LJun 20 · 08:55X. Yang3.855570Y. Zhu1.201111113WJun 18 · 16:45A. Tofant8.5011641162X. Yang1.02811114113
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