TT Lossbeater/ITTF World Team Champs Women
ITTF World Team Champs WomenMatch #11838092
Played May 3Finished
Elizabeta Samara
Home
1.36
At publish
Lost last 5Form at publish
3–7Last 10Lost last 5
Final
3 – 0
Set by set
1210119117––––
Ying Syuan Wu
Away
3.00
At publish
Lost last 1Form at publish
2–3Last 5Lost last 1
How it is goingElizabeta Samara above · Ying Syuan Wu below
Set 1 · 12-10
Set 2 · 11-9
Set 3 · 11-7
Point 60 set 3, 11-7
60 points played in total.
Signal confidence: 69% — Clear lean (leans Samara)
Decision Summary
Why this prediction
- Samara form (0%) is below what odds imply (73%)
Market vs Signals
Market oddsSamara 1.36 / Wu 3.00
Signal prob.69% / 31%
Edge (Samara)+0.0pp
ITTF World Team Champs Women · #11838092
Samara1.36
30%won 3 of 10 · last 10
50%takes the first set · 5 of 10
Wu3.00
40%won 2 of 5 · last 10
40%takes the first set · 2 of 5
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
MetricSamaraWuBasisWin rate · lifetime20 / 50 vs 2 / 540%40%20 / 50 vs 2 / 5Avg sets wonper match1.81.4per matchAvg pointsper match34.329.6per 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
SamaraSamara 1.36/Wu 3.00
Read onlywould have hit
What we said
68.8%
Samara · sealed before the serve
What happened
3–0
Samara 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
E. Samara10
LAug 13 · 17:45A. Kaufmann1.5011117113E. Samara2.50671171WAug 10 · 17:10A. Dragoman2.10111188122E. Samara1.67451111143LAug 5 · 08:30I. Cheng1.1611119113E. Samara4.02961131LAug 4 · 02:00I. Cheng1.2011119113E. Samara4.33961131LJun 29 · 02:10E. Samara6.00101171492X. Shi1.111281112113LJun 18 · 04:00E. Samara2.637111371S. Polcanova1.4411915113LJun 4 · 08:00E. Samara3.00582291A. Diaz1.36111120113LMay 23 · 09:00E. Samara5.006820C. Joo1.141111113WMay 22 · 10:45E. Samara1.20914314133F. Schreiner4.3311121112112WMay 21 · 16:10E. Samara1.171112113N. Mani4.5081050
Y. Wu10
LAug 20 · 09:15Y. Wu—4171191A. Brzyska—11197113LAug 19 · 16:30Y. Wu1.119760L. Morsch6.001111113LAug 6 · 04:45C. Huang3.001111113Y. Wu1.369670LJul 27 · 13:25Y. Wu2.2061240T. Chien1.601114113WJul 27 · 07:10S. Chen1.731311651Y. Wu2.0015511113WJul 26 · 12:40D. Otabayeva9.005230Y. Wu1.041111113LJul 21 · 09:40S. Law5.001211113Y. Wu1.1410990LMay 2 · 15:53M. Kuai1.011111113Y. Wu15.006440WMay 2 · 10:25Y. Wu6.501211118113Y. Shin1.10108131182LMay 2 · 08:49Y. Wu4.505611101N. Kim1.1711119123
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