TT Lossbeater/WTT Feeder Olomouc Women
WTT Feeder Olomouc WomenMatch #13022431
Played Aug 27Finished
Natalia Bajor
Home
1.33
At publish
Won last 1Form at publish
3–7Last 10Won last 1
Final
3 – 1
Set by set
1176111412117––
Zuzanna Wielgos
Away
3.25
At publish
Won last 1Form at publish
3–7Last 10Won last 1
The read, and what happenedsealed at 17:41 and never touched — 61.3% is still 61.3%
Graded at full timeNatalia Bajor to win
61.3%
61.3%
Sealed before the first serve and never touched. The record is only checkable because of that.
Read
Rightno pick shipped
«Right» is not «we won». No pick was shipped, so this is a read that turned out correct — not a call that won.
How it is goingNatalia Bajor above · Zuzanna Wielgos below
Set 1 · 11-7
Set 2 · 6-11
Set 3 · 14-12
Set 4 · 11-7
Point 79 set 4, 11-7 — our read held Natalia Bajor at 61.3%
79 points played in total.
H2H Natalia Bajor 1–0 Zuzanna Wielgos Zuzanna Wielgos has won 0 of their 1 meetings.
The pickNo pick published
Sealed 17:41What took a side2 for · 0 against · 3 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.33 (71%)
Bajor
Correct
no bar to clear — a priced side always votes
H2H
1-0 in 1
—
Too close
1 played, under the floor of 3
Form (L5)
Bajor 60% vs Wielgos 20%
Bajor
Correct
40pp gap, over the 15pp bar
Form (L10)
Bajor 30% vs Wielgos 30%
—
Too close
0pp gap, under the 15pp bar
Streak
Bajor +1 · Wielgos +1
—
Too close
neither holds a run of 3 on their own
Not whether we were right, but which read failed. One match proves nothing — the calibration is the aggregate of rows like these, and that aggregate does not exist yet.
This table lists the interface catalogue — the one you already see in ALIGN / CONFLICT. The engine weighs its own subset, and they are not the same set. It says so here instead of hiding it.
2 for, 3 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 71% — Strong (leans Bajor) · live re-read · sealed at 61% before the first serve
Decision Summary
Why this prediction
- Wielgos form (20%) is below what odds imply (31%)
Market vs Signals
Market oddsBajor 1.33 / Wielgos 3.25
Signal prob.71% / 29%
Edge (Bajor)-0.0pp
WTT Feeder Olomouc Women · #13022431
Bajor1.33
30%won 3 of 10 · last 10
oldest → newest
40%takes the first set · 4 of 10
Wielgos3.25
30%won 3 of 10 · last 10
oldest → newest
60%takes the first set · 6 of 10
Head to head
H2H window
The recordacross 1 meeting
HomeBajor1wins
AwayWielgos0wins
Bajor leads 1–0.
First set to match win · in this matchup
Not enough first sets
Neither side has won the first set three times here, so there is no rate to publish.
Set by set, in this 1 meetingevery set carries its own n — a fifth set only exists when the match reaches one
S1
Only 1 match reached it — below the 3 needed to publish a rate
S2
Only 1 match reached it — below the 3 needed to publish a rate
S3
Only 1 match reached it — below the 3 needed to publish a rate
S4
Only 1 match reached it — below the 3 needed to publish a rate
How that 1 finishedn = 1, below the 3 needed
3–0Straight, home0
3–1Four sets, home1
3–2Decider, home0
2–3Decider, away0
1–3Four sets, away0
0–3Straight, away0
This 1 meeting
MetricBajorWielgosB − WBasisWins10+1in 1 meetingFirst set10+1of 1Avg pointsper match42.037.0+5.0per matchSweeps0003–0 or 0–3
Career, not this matchup
MetricBajorWielgosBasisWin rate · lifetime3 / 10 vs 3 / 1030%30%3 / 10 vs 3 / 10Avg sets wonper match1.51.2per 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
BajorBajor 1.33/Wielgos 3.25
Read onlywould have hit
What we said
70.9%
Bajor · sealed before the serve
What happened
3–1
Bajor won
Recent Results
H2H · no odds on record1
WAug 27 · 09:45N. Bajor—11614113Z. Wielgos—7111271
N. Bajor10
LAug 27 · 16:15N. Bajor1.53118121152M. Loy2.38411144113WAug 26 · 15:40N. Bajor1.041111113K. Mischek6.698280LAug 22 · 10:45S. Sawettabut2.2011711123N. Bajor1.618117101WAug 21 · 15:05C. Lai—4540N. Bajor—1111113WAug 21 · 08:00C. Lai4.334540N. Bajor1.201111113LAug 10 · 17:10Y. Han1.13101111113N. Bajor5.50123381LAug 6 · 04:55L. Zhang1.6711127113N. Bajor2.078101151LAug 4 · 02:00L. Zhang1.4411127113N. Bajor2.638101151LJun 29 · 01:00J. Zeng1.7311611113N. Bajor2.00711891LJun 18 · 04:00M. Kihara1.141111113N. Bajor5.007650
Z. Wielgos10
LAug 29 · 09:35Z. Wielgos—0M. Pesotska—3LAug 28 · 10:00O. Vorobeva—11112Z. Wielgos—730WAug 28 · 09:20A. Kolish—119111Z. Wielgos—131162WAug 26 · 16:15A. Klempererova5.00641171Z. Wielgos1.1411116113LAug 21 · 15:40S. Sawettabut1.6091111113Z. Wielgos2.20116841LAug 21 · 08:00S. Sawettabut1.4491111113Z. Wielgos2.63116841LAug 9 · 12:40T. Chien1.241111113Z. Wielgos3.498430LAug 9 · 09:10T. Chien1.201111113Z. Wielgos4.338430WAug 8 · 10:30K. Lyne2.20991161Z. Wielgos1.6111119113LJun 10 · 09:45Z. Wielgos2.634560J. Shao1.441111113
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