TT Lossbeater/Setka Cup
Setka CupMatch #13094582
Played Sep 8Finished
Radovan Pisa
Home
2.20
At publish
Won last 1Form at publish
6–4Last 10Won last 1
Final
2 – 3
Set by set
811117113911311
Lukas Veigl
Away
1.62
At publish
Lost last 2Form at publish
6–4Last 10Lost last 2
The read, and what happenedsealed at 19:42 and never touched — 58.1% is still 58.1%
Graded at full timeLukas Veigl to win
58.1%
58.1%
Sealed before the first serve and never touched. The record is only checkable because of that.
Read
Rightnot sent
«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 goingRadovan Pisa above · Lukas Veigl below
Set 1 · 8-11
Set 2 · 11-7
Set 3 · 11-3
Set 4 · 9-11
Set 5 · 3-11
Point 85 set 5, 3-11 — our read held Lukas Veigl at 58.1%
85 points played in total.
H2H Radovan Pisa 26–48 Lukas Veigl Radovan Pisa has won 26 of their 74 meetings.
The pickNothing sent
Sealed 19:42What took a side2 for · 1 against · 3 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.61 (58%)
Veigl
Correct
no bar to clear — a priced side always votes
H2H
26-48 in 74
Veigl
Correct
gap of 22 in 74, over the gap of 2
Rating (G2)
Pisa 1710 vs Veigl 1681
Pisa
Wrong
both rated, 29 points apart — no bar to clear
Form (L5)
Pisa 60% vs Veigl 60%
—
Too close
0pp gap, under the 15pp bar
Form (L10)
Pisa 60% vs Veigl 60%
—
Too close
0pp gap, under the 15pp bar
Streak
Pisa +1 · Veigl -2
—
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: 58% — Slight lean (leans Veigl)
Decision Summary
Why this prediction
- Pisa form (60%) outperforms what odds imply (45%)
Market vs Signals
Market oddsPisa 2.20 / Veigl 1.61
Signal prob.42% / 58%
Edge (Veigl)+0.4pp
Setka Cup · #13094582
Pisa2.20
60%won 6 of 10 · last 10
oldest → newest
80%takes the first set · 8 of 10
As underdog45% won 92 of 205
Down 0–1, comes back28% 31 of 109
Down 0–2, comes back13% 8 of 60
Veigl1.61
60%won 6 of 10 · last 10
Lost last 2
oldest → newest60%takes the first set · 6 of 10
As favourite61% won 61 of 100
Up 2–0, closes it95% 20 of 21
Up 1–0, closes it73% 40 of 55
Head to head
H2H window
The recordacross 10 meetings
HomePisa4wins
AwayVeigl6wins
4 of 10 to a deciderVeigl leads 6–4, and 4 of those 10 went to a fifth set.
First set to match win · in this matchup
HomePisa50%2 of 4
AwayVeigl66.7%4 of 6
Set by set, in these 10 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Pisa4Veigl6n = 10Veigl took 6 of 10
S2Pisa5Veigl5n = 10split evenly
S3Pisa4Veigl6n = 10Veigl took 6 of 10
S4Pisa4Veigl5n = 9Veigl took 5 of 9
S5Pisa2Veigl2n = 4split evenly
How those 10 finishedcounts, and the six add up to 10 — a scoreline is a name, not a code
3–0Straight, home00%
3–1Four sets, home220%
3–2Decider, home220%
2–3Decider, away220%
1–3Four sets, away330%
0–3Straight, away110%
These 10 meetings
MetricPisaVeiglP − VBasisWins46−2in 10 meetingsFirst set46−2of 10Avg pointsper match40.342.5−2.2per matchSweeps01−13–0 or 0–3
Career, not this matchup
MetricPisaVeiglBasisWin rate · lifetime384 / 791 vs 273 / 52748.6%51.8%384 / 791 vs 273 / 527Avg sets wonper match2.12.1per matchAvg pointsper match39.440.3per 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
VeiglPisa 2.20/Veigl 1.61
Read onlywould have hit
What we said
58.1%
Veigl · sealed before the serve
What happened
2–3
Veigl won
Recent Results
H2H · no odds on record10
WJul 23 · 06:15R. Pisa—711911113L. Veigl—11611942
WJul 22 · 08:58R. Pisa—51116113L. Veigl—1191491
WJul 22 · 06:00R. Pisa—1141511113L. Veigl—91117992
LJul 15 · 08:28R. Pisa—126981L. Veigl—101111113
LJul 15 · 06:30R. Pisa—951161L. Veigl—11117113
LJun 27 · 18:45R. Pisa—9890L. Veigl—1111113
LJun 18 · 12:00R. Pisa—911761L. Veigl—11911113
LJun 13 · 18:15R. Pisa—11811872L. Veigl—411511113
LJun 11 · 16:59R. Pisa—71111782L. Veigl—118811113
WJun 11 · 15:00R. Pisa—15118113L. Veigl—1351181
R. Pisa10
LSep 8 · 10:30R. Pisa1.6197111182T. Liska2.20111184113WSep 7 · 12:54R. Pisa1.801113113A. Radkovsky1.9181190LSep 7 · 11:45M. Vyskocil1.671081111123R. Pisa2.10121167102WSep 7 · 10:45L. Adam1.501061161R. Pisa2.5012119113WSep 7 · 09:15A. Radkovsky1.9167111352R. Pisa1.801111711113LSep 3 · 20:14R. Pisa2.008250A. Snr1.731111113LSep 3 · 19:45T. Liska2.201111113R. Pisa1.617990WSep 3 · 18:45A. Snr1.571011731R. Pisa2.2512611113LSep 3 · 17:15M. Vyskocil1.8091112113R. Pisa1.911131011WSep 2 · 20:48R. Pisa1.8311129113M. Ullman1.833101191
L. Veigl10
LSep 7 · 08:18L. Veigl2.758670P. Wasik1.401111113LSep 7 · 07:15P. Wasik1.611211113L. Veigl2.2010850WSep 7 · 06:45L. Veigl2.3811611113M. Zelinka1.53911951WSep 7 · 05:45L. Veigl2.50111111113L. Heinzl1.50781361WSep 5 · 20:13J. Senk2.10411491L. Veigl1.6711711113LSep 5 · 19:15L. Veigl1.53114115142O. Mezera2.38611511153WSep 5 · 18:15L. Veigl1.801111113J. Senk1.917890LSep 5 · 17:15L. Veigl2.25911691J. Sr1.5711511113WSep 5 · 09:00L. Veigl2.2012611113M. Zelinka1.611011971WSep 5 · 07:45L. Veigl2.10311811113J. Chalupa1.6711911982
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