TT Lossbeater/Setka Cup
Setka CupMatch #13015339
Played Aug 26Finished
Matej Myler
Home
2.75
At publish
Lost last 1Form at publish
7–3Last 10Lost last 1
Final
1 – 3
Set by set
117711911611––
Radovan Pisa
Away
1.40
At publish
Won last 2Form at publish
7–3Last 10Won last 2
The read, and what happenedsealed at 21:15 and never touched — 66.3% is still 66.3%
Graded at full timeRadovan Pisa to win
66.3%
66.3%
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 goingMatej Myler above · Radovan Pisa below
Set 1 · 11-7
Set 2 · 7-11
Set 3 · 9-11
Set 4 · 6-11
Point 73 set 4, 6-11 — our read held Radovan Pisa at 66.3%
73 points played in total.
H2H Matej Myler 0–1 Radovan Pisa Matej Myler has won 0 of their 1 meetings.
The pickNo pick published
Sealed 21:15What took a side2 for · 0 against · 4 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.40 (66%)
Pisa
Correct
no bar to clear — a priced side always votes
H2H
0-1 in 1
—
Too close
1 played, under the floor of 3
Rating (G2)
Myler 1579 vs Pisa 1746
Pisa
Correct
both rated, 167 points apart — no bar to clear
Form (L5)
Myler 80% vs Pisa 80%
—
Too close
0pp gap, under the 15pp bar
Form (L10)
Myler 70% vs Pisa 70%
—
Too close
0pp gap, under the 15pp bar
Streak
Myler -1 · Pisa +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, 4 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 66% — Clear lean (leans Pisa)
Decision Summary
Why this prediction
- Myler form (80%) outperforms what odds imply (36%)
Market vs Signals
Market oddsMyler 2.75 / Pisa 1.40
Signal prob.34% / 66%
Edge (Pisa)+0.0pp
Setka Cup · #13015339
Myler2.75
70%won 7 of 10 · last 10
oldest → newest
30%takes the first set · 3 of 10
As underdog27% won 3 of 11
Down 0–1, comes back29% 2 of 7
Down 0–2, comes back20% 1 of 5
Pisa1.40
70%won 7 of 10 · last 10
Won last 2
oldest → newest100%takes the first set · 10 of 10
As favourite50% won 83 of 166
Up 2–0, closes it87% 33 of 38
Up 1–0, closes it67% 60 of 89
Head to head
H2H window
The recordacross 1 meeting
HomeMyler0wins
AwayPisa1wins
Pisa 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, home0
3–2Decider, home0
2–3Decider, away0
1–3Four sets, away1
0–3Straight, away0
This 1 meeting
MetricMylerPisaM − PBasisWins01−1in 1 meetingFirst set10+1of 1Avg pointsper match35.043.0−8.0per matchSweeps0003–0 or 0–3
Career, not this matchup
MetricMylerPisaBasisWin rate · lifetime19 / 45 vs 378 / 78442.2%48.2%19 / 45 vs 378 / 784Avg sets wonper match1.92.0per matchAvg pointsper match39.639.3per 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
PisaMyler 2.75/Pisa 1.40
Read onlywould have hit
What we said
66.3%
Pisa · sealed before the serve
What happened
1–3
Pisa won
Recent Results
H2H · no odds on record1
LMar 6 · 19:15M. Myler—139671R. Pisa—111111103
M. Myler10
LSep 7 · 15:15O. Mezera1.831110116113M. Myler1.8391291182WSep 7 · 14:45M. Myler2.10111110113M. Makara1.67681291WSep 7 · 13:45M. Myler2.00121111113S. Rejent1.73148871WAug 27 · 12:18M. Myler2.201111123Z. Vasatko1.6194100LAug 27 · 11:15Z. Vasatko2.101211113M. Myler1.6710920WAug 27 · 10:45M. Myler1.5711911173L. Kolman2.259119151WAug 27 · 09:45M. Myler1.531114133T. Hucko2.38512110LAug 26 · 16:44R. Pisa1.361111133M. Myler3.0079110WAug 26 · 15:15O. Mezera1.50711851M. Myler2.5011811113LAug 26 · 13:45M. Myler2.2091161152S. Rejent1.61118119113
R. Pisa10
WSep 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. Ullman1.833101191WAug 26 · 16:44R. Pisa1.361111133M. Myler3.0079110
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