TT Lossbeater/Czech Liga Pro
Czech Liga ProMatch #13082835
Played Sep 6Finished
Karel Schopf
Home
2.10
At publish
Lost last 2Form at publish
4–6Last 10Lost last 2
Final
3 – 0
Set by set
117118119––––
Marcel Pikous
Away
1.67
At publish
Lost last 3Form at publish
4–6Last 10Lost last 3
The read, and what happenedsealed at 13:41 and never touched — 54.9% is still 54.9%
Graded at full timeMarcel Pikous to win
54.9%
54.9%
Sealed before the first serve and never touched. The record is only checkable because of that.
Read
Wrongpick shipped
How it is goingKarel Schopf above · Marcel Pikous below
Set 1 · 11-7
Set 2 · 11-8
Set 3 · 5-5
Point 47 set 3, 5-5 — our read held Marcel Pikous at 54.9%
47 points drawn · the score is 10 ahead; the rest land in a moment.
H2H Karel Schopf 4–3 Marcel Pikous Marcel Pikous has won 3 of their 7 meetings.
The pickNo pick published
Sealed 13:41What took a side3 for · 1 against · 2 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.67 (56%)
Pikous
Wrong
no bar to clear — a priced side always votes
H2H
4-3 in 7
—
Too close
gap of 1, under the gap of 2
Rating (G2)
Schopf 1598 vs Pikous 1625
Pikous
Wrong
both rated, 28 points apart — no bar to clear
Form (L5)
Schopf 60% vs Pikous 40%
Schopf
Correct
20pp gap, over the 15pp bar
Form (L10)
Schopf 40% vs Pikous 40%
—
Too close
0pp gap, under the 15pp bar
Streak
Schopf -2 · Pikous -3
Pikous
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.
3 for, 2 silent — and the gate let it through as .
Signal confidence: 55% — Slight lean (leans Pikous) · live re-read · sealed at 55% before the first serve
Decision Summary
Why this prediction
- Pikous form (40%) is below what odds imply (60%)
Market vs Signals
Market oddsSchopf 2.10 / Pikous 1.67
Signal prob.45% / 55%
Edge (Pikous)-0.4pp
Czech Liga Pro · #13082835
Schopf2.10
40%won 4 of 10 · last 10
Lost last 2
oldest → newest50%takes the first set · 5 of 10
As underdog37% won 25 of 67
Down 0–1, comes back24% 10 of 42
Down 0–2, comes back9% 2 of 22
Pikous1.67
40%won 4 of 10 · last 10
Lost last 3
oldest → newest40%takes the first set · 4 of 10
As favourite59% won 114 of 193
Up 2–0, closes it89% 55 of 62
Up 1–0, closes it76% 79 of 104
Head to head
H2H window
The recordacross 7 meetings
HomeSchopf4wins
AwayPikous3wins
4 of 7 to a deciderSchopf leads 4–3, and 4 of those 7 went to a fifth set.
First set to match win · in this matchup
HomeSchopf66.7%4 of 6
AwayPikousn = 1, below the 3 needed
Set by set, in these 7 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Schopf6Pikous1n = 7Schopf took 6 of 7
S2Schopf2Pikous5n = 7Pikous took 5 of 7
S3Schopf4Pikous3n = 7Schopf took 4 of 7
S4Schopf2Pikous3n = 5Pikous took 3 of 5
S5Schopf2Pikous2n = 4split evenly
How those 7 finishedcounts, and the six add up to 7 — a scoreline is a name, not a code
3–0Straight, home114%
3–1Four sets, home114%
3–2Decider, home229%
2–3Decider, away229%
1–3Four sets, away00%
0–3Straight, away114%
These 7 meetings
MetricSchopfPikousS − PBasisWins43+1in 7 meetingsFirst set61+5of 7Avg pointsper match40.336.1+4.2per matchSweeps1103–0 or 0–3
Career, not this matchup
MetricSchopfPikousBasisWin rate · lifetime228 / 452 vs 365 / 69350.4%52.7%228 / 452 vs 365 / 693Avg sets wonper match2.02.1per matchAvg pointsper match37.638.4per 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
PikousSchopf 2.10/Pikous 1.67
Read onlywould have missed
What we said
55.4%
Pikous · sealed before the serve
What happened
3–0
Schopf won
Recent Results
H2H · no odds on record7
WSep 6 · 24:30K. Schopf—1111129113M. Pikous—63141162
LJul 22 · 14:00K. Schopf—15611592M. Pikous—1311611113
WJul 22 · 24:00K. Schopf—11711113M. Pikous—411631
LJun 24 · 24:30K. Schopf—9510M. Pikous—1111113
LNov 24 · 17:30K. Schopf—118119112M. Pikous—911211133
WAug 26 · 19:30K. Schopf—119611113M. Pikous—71111292
WAug 25 · 20:30K. Schopf—111173M. Pikous—4950
K. Schopf10
LSep 7 · 02:00K. Schopf2.385430J. Tazler1.531111113LSep 7 · 01:00K. Schopf2.7534100V. Vejvoda1.401111123LSep 7 · 24:00J. Louda1.831111113K. Schopf1.838660LSep 6 · 22:30M. Sychra2.251111123K. Schopf1.5798100LSep 6 · 17:00K. Schopf2.206440J. Tazler1.611111113LSep 6 · 16:00R. Rose1.331111113K. Schopf3.258620LSep 6 · 15:00J. Tazler1.57118165113K. Schopf2.25411141142LSep 6 · 03:30J. Tazler1.671112123K. Schopf2.10310100LSep 6 · 01:30K. Schopf1.5710690M. Sychra2.251211113WSep 6 · 24:30M. Pikous1.6163141162K. Schopf2.201111129113
M. Pikous10
LSep 6 · 17:29R. Rose1.73111194113M. Pikous2.0049111152WSep 6 · 16:30J. Tazler2.25149511122M. Pikous1.571211119143WSep 6 · 15:30M. Pikous2.10111011113R. Rose1.67812841LSep 6 · 02:59M. Pikous1.738860M. Regner2.001111113LSep 6 · 02:00J. Tazler2.759111011143M. Pikous1.40118129122LSep 6 · 24:30M. Pikous1.6163141162K. Schopf2.201111129113WSep 5 · 23:00M. Pikous1.671111113M. Sychra2.107680WSep 5 · 22:00M. Regner2.00115861M. Pikous1.7381111113WSep 5 · 16:59R. Wagner1.775560M. Pikous1.931111113LSep 5 · 16:30M. Pikous2.0081270D. Hofman1.731114113
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