TT Lossbeater/Czech Liga Pro
Czech Liga ProMatch #13077672
Played Sep 6Finished
Marcel Pikous
Home
1.62
At publish
Won last 3Form at publish
6–4Last 10Won last 3
Final
2 – 3
Set by set
6113111412119611
Karel Schopf
Away
2.20
At publish
Won last 2Form at publish
4–6Last 10Won last 2
The read, and what happenedsealed at 14:00 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 goingMarcel Pikous above · Karel Schopf below
Set 1 · 6-11
Set 2 · 3-11
Set 3 · 14-12
Set 4 · 11-9
Set 5 · 6-11
Point 94 set 5, 6-11 — our read held Marcel Pikous at 54.9%
94 points played in total.
H2H Marcel Pikous 3–3 Karel Schopf Dead even across their 6 meetings.
Last 6 · 3–3Head to head
The pickNo pick published
Sealed 14:00What took a side5 for · 0 against · 1 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.61 (58%)
Pikous
Wrong
no bar to clear — a priced side always votes
H2H
3-3 in 6
—
Too close
gap of 0, under the gap of 2
Rating (G2)
Pikous 1685 vs Schopf 1607
Pikous
Wrong
both rated, 78 points apart — no bar to clear
Form (L5)
Pikous 80% vs Schopf 40%
Pikous
Wrong
40pp gap, over the 15pp bar
Form (L10)
Pikous 60% vs Schopf 40%
Pikous
Wrong
20pp gap, over the 15pp bar
Streak
Pikous +3 · Schopf +2
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.
5 for, 1 silent — and the gate let it through as .
Signal confidence: 58% — Slight lean (leans Pikous) · live re-read · sealed at 55% before the first serve
Decision Summary
Why this prediction
- Pikous form (80%) outperforms what odds imply (62%)
Market vs Signals
Market oddsPikous 1.61 / Schopf 2.20
Signal prob.58% / 42%
Edge (Pikous)+0.0pp
Czech Liga Pro · #13077672
Pikous1.61
60%won 6 of 10 · last 10
Won last 3
oldest → newest50%takes the first set · 5 of 10
As favourite59% won 112 of 189
Up 2–0, closes it89% 54 of 61
Up 1–0, closes it77% 78 of 102
Schopf2.20
40%won 4 of 10 · last 10
Won last 2
oldest → newest60%takes the first set · 6 of 10
As underdog38% won 23 of 61
Down 0–1, comes back25% 10 of 40
Down 0–2, comes back10% 2 of 20
Head to head
H2H window
The recordacross 6 meetings
HomePikous3wins
AwaySchopf3wins
3 of 6 to a deciderLevel at 3–3, and 3 of those 6 went to a fifth set.
First set to match win · in this matchup
HomePikousn = 1, below the 3 needed
AwaySchopf60%3 of 5
Set by set, in these 6 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Pikous1Schopf5n = 6Schopf took 5 of 6
S2Pikous5Schopf1n = 6Pikous took 5 of 6
S3Pikous2Schopf4n = 6Schopf took 4 of 6
S4Pikous2Schopf2n = 4split evenly
S5Pikous2Schopf1n = 3Pikous took 2 of 3
How those 6 finishedcounts, and the six add up to 6 — a scoreline is a name, not a code
3–0Straight, home117%
3–1Four sets, home00%
3–2Decider, home233%
2–3Decider, away117%
1–3Four sets, away117%
0–3Straight, away117%
These 6 meetings
MetricPikousSchopfP − SBasisWins330in 6 meetingsFirst set15−4of 6Avg pointsper match35.538.0−2.5per matchSweeps1103–0 or 0–3
Career, not this matchup
MetricPikousSchopfBasisWin rate · lifetime365 / 690 vs 227 / 44952.9%50.6%365 / 690 vs 227 / 449Avg sets wonper match2.12.0per matchAvg pointsper match38.437.6per 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
PikousPikous 1.61/Schopf 2.20
Read onlywould have missed
What we said
57.7%
Pikous · sealed before the serve
What happened
2–3
Schopf won
Recent Results
H2H · no odds on record6
WJul 22 · 14:00M. Pikous—1311611113K. Schopf—15611592
LJul 22 · 24:00M. Pikous—411631K. Schopf—11711113
WJun 24 · 24:30M. Pikous—1111113K. Schopf—9510
WNov 24 · 17:30M. Pikous—911211133K. Schopf—118119112
LAug 26 · 19:30M. Pikous—71111292K. Schopf—119611113
LAug 25 · 20:30M. Pikous—4950K. Schopf—111173
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 · 14:30K. Schopf2.101111113M. Pikous1.677890LSep 6 · 02:59M. Pikous1.738860M. Regner2.001111113LSep 6 · 02:00J. Tazler2.759111011143M. Pikous1.40118129122WSep 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
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. Schopf2.25411141142WSep 6 · 14:30K. Schopf2.101111113M. Pikous1.677890LSep 6 · 03:30J. Tazler1.671112123K. Schopf2.10310100LSep 6 · 01:30K. Schopf1.5710690M. Sychra2.251211113
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