TT Lossbeater/Czech Liga Pro
Czech Liga ProMatch #12475924
Played Aug 23Finished
Milan Jasek
Home
1.62
At publish
Lost last 1Form at publish
3–7Last 10Lost last 1
Final
3 – 0
Set by set
117117115––––
David Mikula
Away
2.03
At publish
Lost last 1Form at publish
5–5Last 10Lost last 1
The read, and what happenedsealed at 14:28 and never touched — 54.0% is still 54.0%
Graded at full timeMilan Jasek to win
54.0%
54.0%
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 going
Point-by-point unavailable
BetsAPI did not publish a timeline for this match.
52 points played in total.
Set by set
117117115––––
H2H Milan Jasek 13–10 David Mikula David Mikula has won 10 of their 23 meetings.
Last 10 · 5–5Head to head
The pickNo pick published
Sealed 14:28What took a side3 for · 1 against · 2 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.62 (56%)
Jasek
Correct
no bar to clear — a priced side always votes
H2H
13-10 in 23
Jasek
Correct
gap of 3 in 23, over the gap of 2
Rating (G2)
Jasek 1436 vs Mikula 1400
Jasek
Correct
both rated, 36 points apart — no bar to clear
Form (L5)
Jasek 60% vs Mikula 60%
—
Too close
0pp gap, under the 15pp bar
Form (L10)
Jasek 30% vs Mikula 50%
Mikula
Wrong
20pp gap, over the 15pp bar
Streak
Jasek -1 · Mikula -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.
3 for, 2 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 54% — Coin-flip (leans Jasek)
Decision Summary
Why this prediction
- Mikula form (60%) outperforms what odds imply (49%)
Market vs Signals
Market oddsJasek 1.62 / Mikula 2.03
Signal prob.54% / 46%
Edge (Jasek)-1.6pp (anti-value)
Czech Liga Pro · #12475924
Jasek1.62
30%won 3 of 10 · last 10
oldest → newest
30%takes the first set · 3 of 10
As favourite51% won 38 of 75
Up 2–0, closes it100% 22 of 22
Up 1–0, closes it80% 31 of 39
Mikula2.03
50%won 5 of 10 · last 10
oldest → newest
40%takes the first set · 4 of 10
As underdog38% won 31 of 82
Down 0–1, comes back22% 11 of 50
Down 0–2, comes back7% 2 of 29
Head to head
H2H window
The recordacross 10 meetings
HomeJasek5wins
AwayMikula5wins
6 of 10 to a deciderLevel at 5–5, and 6 of those 10 went to a fifth set.
First set to match win · in this matchup
HomeJasek66.7%4 of 6
AwayMikula75%3 of 4
Set by set, in these 10 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Jasek6Mikula4n = 10Jasek took 6 of 10
S2Jasek2Mikula8n = 10Mikula took 8 of 10
S3Jasek8Mikula2n = 10Jasek took 8 of 10
S4Jasek4Mikula4n = 8split evenly
S5Jasek3Mikula3n = 6split evenly
How those 10 finishedcounts, and the six add up to 10 — a scoreline is a name, not a code
3–0Straight, home220%
3–1Four sets, home00%
3–2Decider, home330%
2–3Decider, away330%
1–3Four sets, away220%
0–3Straight, away00%
These 10 meetings
MetricJasekMikulaJ − MBasisWins550in 10 meetingsFirst set64+2of 10Avg pointsper match43.839.8+4.0per matchSweeps20+23–0 or 0–3
Career, not this matchup
MetricJasekMikulaBasisWin rate · lifetime125 / 247 vs 167 / 35750.6%46.8%125 / 247 vs 167 / 357Avg sets wonper match2.02.0per matchAvg pointsper match38.037.7per 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
JasekJasek 1.62/Mikula 2.03
Read onlywould have hit
What we said
54%
Jasek · sealed before the serve
What happened
3–0
Jasek won
Recent Results
H2H · no odds on record10
WJul 7 · 19:30M. Jasek—861211123D. Mikula—1111109102
WJun 10 · 21:04M. Jasek—1111113D. Mikula—6540
WJun 10 · 20:30M. Jasek—119119113D. Mikula—41151172
LMay 30 · 12:30M. Jasek—971161D. Mikula—11115113
WApr 28 · 20:00M. Jasek—1411113D. Mikula—12970
LApr 26 · 09:30M. Jasek—581111102D. Mikula—111175123
WApr 26 · 07:00M. Jasek—1181211113D. Mikula—11114962
LApr 12 · 14:00M. Jasek—119911142D. Mikula—411119163
LMar 28 · 20:00M. Jasek—11911772D. Mikula—511611113
LMar 16 · 21:00M. Jasek—9511141D. Mikula—11118163
M. Jasek10
LSep 5 · 20:58M. Jasek1.73881112112J. Stach2.001111810133WSep 5 · 20:30M. Jasek1.911115113J. Stach1.8061370LSep 5 · 19:00M. Jasek2.2061141182T. Kraninger1.61117113113LSep 5 · 18:00I. Taichman1.611111911113M. Jasek2.2091311882WAug 24 · 20:58M. Jasek1.9191111113Z. Zientek1.80119651LAug 24 · 20:30M. Jasek1.67911971Z. Zientek2.1011911113WAug 24 · 19:00M. Jasek1.531111113D. Mikula2.388730LAug 24 · 18:00F. Zurek1.7381114113M. Jasek2.001191261LAug 23 · 13:28M. Jasek1.8378110V. Cerny1.831111133WAug 23 · 12:30J. Stach1.53861291M. Jasek2.38111110113
D. Mikula10
LSep 6 · 13:05F. Zurek1.7311911113D. Mikula2.00911771LSep 6 · 12:00F. Zurek2.201115113D. Mikula1.6161360WSep 6 · 11:00T. Hrabec2.0012911101D. Mikula1.7314118123LSep 6 · 10:30D. Mikula1.5096100M. Kolek2.501111123LSep 1 · 08:58D. Mikula2.203840J. Stach1.611111113LSep 1 · 08:00D. Mikula1.441171112102F. Zurek2.63911714123LSep 1 · 07:30P. Varecha1.611111113D. Mikula2.206770WSep 1 · 06:00D. Mikula2.63111110113J. Stach1.44581221LAug 28 · 17:29D. Mikula1.836850V. Cerny1.831111113LAug 24 · 19:00M. Jasek1.531111113D. Mikula2.388730
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