TT Lossbeater/WTT United States Smash Women Quals
WTT United States Smash Women QualsMatch #12106549
Played Jun 26Finished
Tatiana Kukulkova
Home
4.50
At publish
Lost last 5Form at publish
2–8Last 10Lost last 5
Final
3 – 1
Set by set
11751113111210––
Adina Diaconu
Away
1.17
At publish
Lost last 1Form at publish
3–7Last 10Lost last 1
How it is goingTatiana Kukulkova above · Adina Diaconu below
Set 1 · 11-7
Set 2 · 5-11
Set 3 · 13-11
Set 4 · 12-10
Point 80 set 4, 12-10
80 points played in total.
Signal confidence: 79% — Strong (leans Diaconu)
Decision Summary
Why this prediction
- Diaconu form (40%) is below what odds imply (86%)
Market vs Signals
Market oddsKukulkova 4.50 / Diaconu 1.17
Signal prob.21% / 79%
Edge (Diaconu)-0.0pp
WTT United States Smash Women Quals · #12106549
Kukulkova4.50
20%won 2 of 10 · last 10
Lost last 5
oldest → newest10%takes the first set · 1 of 10
Diaconu1.17
30%won 3 of 10 · last 10
oldest → newest
60%takes the first set · 6 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
MetricKukulkovaDiaconuBasisWin rate · lifetime2 / 10 vs 3 / 1020%30%2 / 10 vs 3 / 10Avg sets wonper match1.21.7per 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
DiaconuKukulkova 4.50/Diaconu 1.17
Read onlywould have missed
What we said
79.4%
Diaconu · sealed before the serve
What happened
3–1
Kukulkova 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
T. Kukulkova10
WAug 30 · 12:00O. Wator—3780T. Kukulkova—1111113LAug 21 · 08:00T. Kukulkova4.506113111Y. Li1.1711611133LAug 8 · 15:55T. Kukulkova4.0077140Y. Yoo1.221111163LJul 23 · 07:00C. Picard1.83111011113T. Kukulkova1.83812771LJun 27 · 18:10T. Kukulkova4.209540Y. Huang1.201111113LJun 16 · 11:30Z. Tan1.5011511113T. Kukulkova2.50411571LJun 9 · 13:00T. Kukulkova2.758111351K. Wegrzyn1.4011815113LMay 5 · 22:25D. Meshref1.271111113T. Kukulkova3.405970LMay 5 · 21:06D. Meshref1.301111113T. Kukulkova3.405970LMay 5 · 18:30H. Goda1.06111011113T. Kukulkova8.00612871
A. Diaconu10
WAug 30 · 14:30L. Imre—47111A. Diaconu—111182LAug 29 · 18:15B. Zhang—181A. Diaconu—160LAug 29 · 17:00V. Voronina—711112A. Diaconu—11931WAug 28 · 18:00A. Diaconu—911122E. Abraamian—116101WAug 28 · 17:00A. Diaconu—1112113P. Chasselin—91060LAug 9 · 08:00Y. Huang1.301571111113A. Diaconu3.4017116772LJul 4 · 09:10A. Diaconu2.10115631S. Lee1.6591111113WJul 3 · 14:40A. Diaconu2.1011119113C. Moon1.67851191LJun 16 · 16:45A. Diaconu1.45511391D. Chitale2.3711411113WJun 16 · 10:55A. Diaconu1.081111113B. Burgos7.009250
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