TT Lossbeater/Czech Liga Pro
Czech Liga ProMatch #13036458
Played Aug 29Finished
Tomas Vinter
Home
1.91
At publish
Lost last 8Form at publish
1–9Last 10Lost last 8
Final
3 – 0
Set by set
117117106––––
Jiri Pozarsky
Away
1.80
At publish
Lost last 1Form at publish
5–5Last 10Lost last 1
The read, and what happenedsealed at 14:30 and never touched — 54.0% is still 54.0%
Graded at full timeJiri Pozarsky to win
54.0%
54.0%
Sealed before the first serve and never touched. The record is only checkable because of that.
Read
Wrongno pick shipped
How it is goingTomas Vinter above · Jiri Pozarsky below
Set 1 · 11-7
Set 2 · 11-7
Set 3 · 11-6
Point 53 set 3, 11-6 — our read held Jiri Pozarsky at 54.0%
53 points played in total.
H2H Tomas Vinter 9–6 Jiri Pozarsky Jiri Pozarsky has won 6 of their 15 meetings.
Last 10 · 5–5Head to head
The pickNo pick published
Sealed 14:30What took a side4 for · 2 against · 0 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.80 (51%)
Pozarsky
Wrong
no bar to clear — a priced side always votes
H2H
9-6 in 15
Vinter
Correct
gap of 3 in 15, over the gap of 2
Rating (G2)
Vinter 1453 vs Pozarsky 1632
Pozarsky
Wrong
both rated, 179 points apart — no bar to clear
Form (L5)
Vinter 0% vs Pozarsky 60%
Pozarsky
Wrong
60pp gap, over the 15pp bar
Form (L10)
Vinter 10% vs Pozarsky 50%
Pozarsky
Wrong
40pp gap, over the 15pp bar
Streak
Vinter -5 · Pozarsky -1
Vinter
Correct
one crossed 3 in a row, the other did not
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.
4 for, 0 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 54% — Coin-flip (leans Pozarsky)
Decision Summary
Why this prediction
- Vinter form (0%) is below what odds imply (52%)
Market vs Signals
Market oddsVinter 1.91 / Pozarsky 1.80
Signal prob.46% / 54%
Edge (Pozarsky)+2.5pp
Czech Liga Pro · #13036458
Vinter1.91
10%won 1 of 10 · last 10
Lost last 8
oldest → newest10%takes the first set · 1 of 10
As underdog37% won 43 of 115
Down 0–1, comes back18% 12 of 68
Down 0–2, comes back3% 1 of 38
Pozarsky1.80
50%won 5 of 10 · last 10
oldest → newest
70%takes the first set · 7 of 10
As favourite54% won 31 of 57
Up 2–0, closes it82% 18 of 22
Up 1–0, closes it72% 26 of 36
Head to head
H2H window
The recordacross 10 meetings
HomeVinter5wins
AwayPozarsky5wins
5 of 10 to a deciderLevel at 5–5, and 5 of those 10 went to a fifth set.
First set to match win · in this matchup
HomeVinter57.1%4 of 7
AwayPozarsky66.7%2 of 3
Set by set, in these 10 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Vinter7Pozarsky3n = 10Vinter took 7 of 10
S2Vinter5Pozarsky5n = 10split evenly
S3Vinter5Pozarsky5n = 10split evenly
S4Vinter3Pozarsky5n = 8Pozarsky took 5 of 8
S5Vinter2Pozarsky3n = 5Pozarsky took 3 of 5
How those 10 finishedcounts, and the six add up to 10 — a scoreline is a name, not a code
3–0Straight, home110%
3–1Four sets, home220%
3–2Decider, home220%
2–3Decider, away330%
1–3Four sets, away110%
0–3Straight, away110%
These 10 meetings
MetricVinterPozarskyV − PBasisWins550in 10 meetingsFirst set73+4of 10Avg pointsper match38.239.3−1.1per matchSweeps1103–0 or 0–3
Career, not this matchup
MetricVinterPozarskyBasisWin rate · lifetime266 / 523 vs 160 / 33950.9%47.2%266 / 523 vs 160 / 339Avg sets wonper match2.01.9per matchAvg pointsper match37.636.8per 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
PozarskyVinter 1.91/Pozarsky 1.80
Miss
What we said
54%
Pozarsky · sealed before the serve
What happened
3–0
Vinter won
Recent Results
H2H · no odds on record10
LAug 12 · 19:30T. Vinter—721321J. Pozarsky—111111113
WJul 13 · 15:30T. Vinter—11611113J. Pozarsky—311271
LApr 27 · 09:30T. Vinter—11761172J. Pozarsky—611119113
WApr 27 · 08:00T. Vinter—118116113J. Pozarsky—81191192
WApr 22 · 18:00T. Vinter—11114113J. Pozarsky—881151
WApr 6 · 17:30T. Vinter—8111114113J. Pozarsky—11371642
LApr 6 · 15:30T. Vinter—11113872J. Pozarsky—981111113
LFeb 23 · 10:30T. Vinter—41550J. Pozarsky—1117113
LFeb 23 · 09:30T. Vinter—111154102J. Pozarsky—771111123
WFeb 4 · 10:30T. Vinter—1111113J. Pozarsky—5870
T. Vinter10
LSep 3 · 21:00M. Sedlak1.611211113T. Vinter2.2010990LSep 3 · 20:30T. Vinter1.738280V. Postelt2.001111113LSep 3 · 19:00T. Vinter1.9141181182D. Tuma1.80111119113LSep 3 · 18:00M. Sedlak1.80121111113T. Vinter1.911013251LSep 1 · 21:12J. Dedek2.1511118113T. Vinter1.63221121LSep 1 · 20:00T. Vinter1.5010340M. Vedmoch2.501211113WSep 1 · 19:30J. Dedek2.20119511112T. Vinter1.61911118133LSep 1 · 18:00T. Vinter1.36861181M. Kolar3.0011119113WAug 30 · 20:59T. Vinter2.251111123T. Janata1.5795100WAug 30 · 20:30T. Vinter3.001112123T. Janata1.36410100
J. Pozarsky10
WAug 31 · 21:30J. Pozarsky1.651112113J. Stolfa2.1051060WAug 31 · 20:30J. Stolfa2.00881451J. Pozarsky1.73111112113WAug 31 · 19:30J. Pozarsky2.5091211113J. Hradecky1.501110931LAug 31 · 18:30S. Kadavy1.73512119113J. Pozarsky2.00111061162WAug 29 · 16:58P. Budinsky1.40115391J. Pozarsky2.7571111113LAug 29 · 16:00J. Pozarsky1.7311891582D. Tuma2.005111113113LAug 29 · 14:00J. Pozarsky1.57119861P. Budinsky2.2581111113WAug 26 · 17:30J. Stolfa2.0099120J. Pozarsky1.731111143WAug 26 · 16:00J. Pozarsky1.731111113M. Vizek2.005980LAug 26 · 15:30J. Stolfa2.00912118113J. Pozarsky1.73111061132
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