TT Lossbeater/WTT United States Smash Women Quals
WTT United States Smash Women QualsMatch #12108830
Played Jun 27Finished
Izabela Lupulesku
Home
2.39
At publish
Won last 1Form at publish
5–5Last 10Won last 1
Final
0 – 3
Set by set
911811811––––
Wing Lam Ng
Away
1.47
At publish
Lost last 1Form at publish
5–5Last 10Lost last 1
How it is goingIzabela Lupulesku above · Wing Lam Ng below
Set 1 · 9-11
Set 2 · 8-11
Set 3 · 8-11
Point 58 set 3, 8-11
58 points played in total.
Signal confidence: 62% — Slight lean (leans Ng)
Decision Summary
Why this prediction
- Ng form (40%) is below what odds imply (68%)
Market vs Signals
Market oddsLupulesku 2.39 / Ng 1.47
Signal prob.38% / 62%
Edge (Ng)-0.0pp
WTT United States Smash Women Quals · #12108830
Lupulesku2.39
50%won 5 of 10 · last 10
oldest → newest
70%takes the first set · 7 of 10
Ng1.47
50%won 5 of 10 · last 10
oldest → newest
30%takes the first set · 3 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
MetricLupuleskuNgBasisWin rate · lifetime5 / 10 vs 5 / 1050%50%5 / 10 vs 5 / 10Avg sets wonper match2.02.1per match
Deep Dive by Market
Each market builds on the overview aboveForecast
Forecastthe model predicts this market
Match Winner
NgLupulesku 2.39/Ng 1.47
Read onlywould have hit
What we said
61.9%
Ng · sealed before the serve
What happened
0–3
Ng won
Handicap · 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
I. Lupulesku10
LAug 8 · 18:50I. Lupulesku3.40119941H. Yang1.3091111113WJun 26 · 18:10N. Arlia3.501010100I. Lupulesku1.281212123LJun 16 · 10:20I. Lupulesku2.00111211992E. Kim1.73814611113WMay 5 · 11:26J. Zeng1.137118121I. Lupulesku5.5011811143WApr 30 · 19:50I. Lupulesku1.5714118113K. Strazar2.251261141LApr 29 · 17:45O. Paranang1.831111123I. Lupulesku1.8395100LApr 29 · 16:35S. Sawettabut1.366121110113I. Lupulesku3.00111071232WApr 28 · 11:30I. Lupulesku—1111113M. Yessoufou—2420LMar 27 · 11:45C. Joo1.05121011113I. Lupulesku8.501012711WMar 26 · 11:10A. Zarif1.80101211882I. Lupulesku1.901210711113
W. Ng10
LAug 9 · 20:50W. Ng1.45712941Y. Yoo2.50111011113LAug 9 · 17:55W. Ng1.44712941Y. Yoo2.63111011113WAug 9 · 09:45W. Ng1.201111113J. Lai4.334580WAug 8 · 14:10W. Ng1.1473L. Massart5.0040LJul 24 · 20:00H. Hayata1.081111113W. Ng7.007460WJul 23 · 07:00F. Bergand2.638440W. Ng1.441111113LJun 28 · 01:05X. Shan1.7311118133W. Ng2.008611111LJun 10 · 09:45S. Tokic5.501211124143W. Ng1.131481011122WJun 9 · 14:45H. Wong2.759119101W. Ng1.4011811123LJun 2 · 15:35W. Ng1.83151211982S. Yoo1.831710811113
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