TT Lossbeater/Setka Cup
Setka CupMatch #13094710
Played Sep 8Finished
Radovan Pisa
Home
1.67
At publish
Lost last 2Form at publish
4–6Last 10Lost last 2
Final
3 – 1
Set by set
11711711131210––
Michal Makara
Away
2.10
At publish
Lost last 3Form at publish
3–7Last 10Lost last 3
The read, and what happenedsealed at 19:56 and never touched — 57.0% is still 57.0%
Graded at full timeRadovan Pisa to win
57.0%
57.0%
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 · Michal Makara below
Set 1 · 11-7
Set 2 · 11-7
Set 3 · 11-13
Set 4 · 12-10
Point 82 set 4, 12-10 — our read held Radovan Pisa at 57.0%
82 points played in total.
H2H Radovan Pisa 35–28 Michal Makara Michal Makara has won 28 of their 63 meetings.
The pickNothing sent
Sealed 19:56What took a side4 for · 1 against · 1 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.67 (56%)
Pisa
Correct
no bar to clear — a priced side always votes
H2H
35-28 in 63
Pisa
Correct
gap of 7 in 63, over the gap of 2
Rating (G2)
Pisa 1688 vs Makara 1628
Pisa
Correct
both rated, 61 points apart — no bar to clear
Form (L5)
Pisa 40% vs Makara 20%
Pisa
Correct
20pp gap, over the 15pp bar
Form (L10)
Pisa 40% vs Makara 30%
—
Too close
10pp gap, under the 15pp bar
Streak
Pisa -2 · Makara -3
Makara
Wrong
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, 1 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 57% — Slight lean (leans Pisa)
Decision Summary
Why this prediction
- Makara form (20%) is below what odds imply (48%)
Market vs Signals
Market oddsPisa 1.67 / Makara 2.10
Signal prob.57% / 43%
Edge (Pisa)+1.2pp
Setka Cup · #13094710
Pisa1.67
40%won 4 of 10 · last 10
Lost last 2
oldest → newest60%takes the first set · 6 of 10
As favourite50% won 80 of 161
Up 2–0, closes it88% 35 of 40
Up 1–0, closes it66% 57 of 87
Makara2.10
30%won 3 of 10 · last 10
Lost last 3
oldest → newest40%takes the first set · 4 of 10
As underdog46% won 175 of 380
Down 0–1, comes back25% 49 of 194
Down 0–2, comes back3% 3 of 88
Head to head
H2H window
The recordacross 10 meetings
HomePisa4wins
AwayMakara6wins
3 of 10 to a deciderMakara leads 6–4, and 3 of those 10 went to a fifth set.
First set to match win · in this matchup
HomePisa33.3%2 of 6
AwayMakara50%2 of 4
Set by set, in these 10 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Pisa6Makara4n = 10Pisa took 6 of 10
S2Pisa3Makara7n = 10Makara took 7 of 10
S3Pisa5Makara5n = 10split evenly
S4Pisa4Makara5n = 9Makara took 5 of 9
S5Pisa1Makara2n = 3Makara took 2 of 3
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, home330%
3–2Decider, home110%
2–3Decider, away220%
1–3Four sets, away330%
0–3Straight, away110%
These 10 meetings
MetricPisaMakaraP − MBasisWins46−2in 10 meetingsFirst set64+2of 10Avg pointsper match39.338.8+0.5per matchSweeps01−13–0 or 0–3
Career, not this matchup
MetricPisaMakaraBasisWin rate · lifetime382 / 789 vs 499 / 104148.4%47.9%382 / 789 vs 499 / 1041Avg sets wonper match2.12.0per matchAvg pointsper match39.439.3per 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
PisaPisa 1.67/Makara 2.10
Read onlywould have hit
What we said
57%
Pisa · sealed before the serve
What happened
3–1
Pisa won
Recent Results
H2H · no odds on record10
LAug 31 · 07:15R. Pisa—11111011122M. Makara—813127143
LAug 28 · 08:28R. Pisa—119981M. Makara—61111113
WAug 28 · 07:30R. Pisa—1111115113M. Makara—13591162
LAug 22 · 20:44R. Pisa—119551M. Makara—61111113
WAug 22 · 19:45R. Pisa—11101193M. Makara—412751
LAug 11 · 15:45R. Pisa—10111181M. Makara—12138113
LAug 8 · 19:45R. Pisa—3980M. Makara—1111113
WAug 5 · 10:45R. Pisa—11116113M. Makara—461171
WAug 4 · 12:13R. Pisa—31311113M. Makara—1111821
LAug 4 · 11:15R. Pisa—111011662M. Makara—412911113
R. Pisa10
LSep 8 · 10:30R. Pisa1.6197111182T. Liska2.20111184113LSep 8 · 09:30R. Pisa2.2081111932L. Veigl1.61117311113WSep 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. Pisa1.911131011
M. Makara10
LSep 8 · 11:00M. Makara1.91138991L. Veigl1.80111111113LSep 8 · 10:00M. Makara1.6761170T. Liska2.101113113LSep 7 · 16:48M. Makara1.83119111182M. Myler1.83711132113WSep 7 · 15:45S. Rejent1.6711911892M. Makara2.10911611113LSep 7 · 14:45M. Myler2.10111110113M. Makara1.67681291WSep 7 · 13:15O. Mezera2.38811611102M. Makara1.53114115123WSep 4 · 12:29M. Makara2.101211113V. Burylov1.6710940LSep 4 · 12:00M. Makara2.006650L. Adam1.731111113LSep 4 · 10:30V. Burylov1.611171114113M. Makara2.2061171692LSep 4 · 10:00M. Kocvara1.731113123M. Makara2.00611100
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