TT Lossbeater/Czech Liga Pro
Czech Liga ProMatch #13099203
Played Sep 9Finished
Libor Prikasky
Home
1.83
At publish
Lost last 2Form at publish
5–5Last 10Lost last 2
Final
1 – 3
Set by set
5114111311811––
Matej Grundel
Away
1.83
At publish
Lost last 3Form at publish
6–4Last 10Lost last 3
The read, and what happenedsealed at 13:56 and never touched — 54.0% is still 54.0%
Graded at full timeMatej Grundel to win
54.0%
54.0%
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 goingLibor Prikasky above · Matej Grundel below
Set 1 · 5-11
Set 2 · 4-11
Set 3 · 13-11
Set 4 · 8-11
Point 74 set 4, 8-11 — our read held Matej Grundel at 54.0%
74 points played in total.
H2H Libor Prikasky 7–8 Matej Grundel Libor Prikasky has won 7 of their 15 meetings.
The pickNothing sent
Sealed 13:56What took a side4 for · 0 against · 2 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.83 (50%)
Grundel
Correct
no bar to clear — a priced side always votes
H2H
7-8 in 15
—
Too close
gap of 1, under the gap of 2
Rating (G2)
Prikasky 1738 vs Grundel 1845
Grundel
Correct
both rated, 107 points apart — no bar to clear
Form (L5)
Prikasky 20% vs Grundel 40%
Grundel
Correct
20pp gap, over the 15pp bar
Form (L10)
Prikasky 50% vs Grundel 60%
—
Too close
10pp gap, under the 15pp bar
Streak
Prikasky -2 · Grundel -3
Grundel
Correct
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, 2 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 54% — Coin-flip (leans Grundel)
Decision Summary
Why this prediction
- Grundel form (40%) is below what odds imply (55%)
Market vs Signals
Market oddsPrikasky 1.83 / Grundel 1.83
Signal prob.46% / 54%
Edge (Grundel)+4.0pp
Czech Liga Pro · #13099203
Prikasky1.83
50%won 5 of 10 · last 10
Lost last 2
oldest → newest30%takes the first set · 3 of 10
Grundel1.83
60%won 6 of 10 · last 10
Lost last 3
oldest → newest60%takes the first set · 6 of 10
Head to head
H2H window
The recordacross 10 meetings
HomePrikasky4wins
AwayGrundel6wins
6 of 10 to a deciderGrundel leads 6–4, and 6 of those 10 went to a fifth set.
First set to match win · in this matchup
HomePrikasky33.3%2 of 6
AwayGrundel50%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
S1Prikasky6Grundel4n = 10Prikasky took 6 of 10
S2Prikasky4Grundel6n = 10Grundel took 6 of 10
S3Prikasky4Grundel6n = 10Grundel took 6 of 10
S4Prikasky3Grundel6n = 9Grundel took 6 of 9
S5Prikasky3Grundel3n = 6split evenly
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, home110%
3–2Decider, home330%
2–3Decider, away330%
1–3Four sets, away220%
0–3Straight, away110%
These 10 meetings
MetricPrikaskyGrundelP − GBasisWins46−2in 10 meetingsFirst set64+2of 10Avg pointsper match42.144.0−1.9per matchSweeps01−13–0 or 0–3
Career, not this matchup
MetricPrikaskyGrundelBasisWin rate · lifetime249 / 446 vs 162 / 30955.8%52.4%249 / 446 vs 162 / 309Avg sets wonper match2.12.1per matchAvg pointsper match37.138.6per 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
GrundelPrikasky 1.83/Grundel 1.83
Read onlywould have hit
What we said
54%
Grundel · sealed before the serve
What happened
1–3
Grundel won
Recent Results
H2H · no odds on record10
WAug 27 · 16:00L. Prikasky—119811113M. Grundel—61111882
LAug 26 · 17:03L. Prikasky—127111072M. Grundel—1011812113
WAug 26 · 15:00L. Prikasky—811114123M. Grundel—117811102
LAug 13 · 16:30L. Prikasky—115941M. Grundel—51111113
WAug 5 · 14:00L. Prikasky—511711113M. Grundel—11811582
WJul 20 · 16:00L. Prikasky—24611113M. Grundel—2211841
LJul 8 · 15:30L. Prikasky—9111110132M. Grundel—118412153
LJun 21 · 07:30L. Prikasky—117891M. Grundel—81111113
LJun 18 · 15:30L. Prikasky—11119582M. Grundel—951111113
LMay 27 · 17:10L. Prikasky—8920M. Grundel—1111113
L. Prikasky10
LSep 9 · 14:00M. Skotnica1.618111110113L. Prikasky2.2011561252LSep 5 · 09:00M. Navedla1.8311813113L. Prikasky1.836111171WSep 5 · 08:30P. Wawrosz1.73771161L. Prikasky2.0011115113LSep 5 · 07:30L. Prikasky1.8391180M. Vavrecka1.831113113LSep 5 · 06:30M. Navedla1.911111118113L. Prikasky1.8091351192WSep 4 · 17:31M. Skotnica1.67912118102L. Prikasky2.101110711123WSep 4 · 16:30D. Tomica2.75117861L. Prikasky1.4091111113LSep 4 · 15:30L. Prikasky2.1041030M. Skotnica1.671112113WSep 4 · 14:30M. Navedla1.73116124112L. Prikasky2.001111011133WSep 4 · 13:00L. Prikasky2.109111110113M. Navedla1.6711751252
M. Grundel10
WSep 9 · 16:00M. Skotnica1.73431171M. Grundel2.0011113113LSep 9 · 14:30M. Grundel2.0854111122R. Polasek1.59111173113LSep 3 · 17:29M. Skotnica1.6112114113M. Grundel2.201091191LSep 3 · 16:00M. Grundel2.1012871192M. Skotnica1.671011119113WSep 3 · 15:30R. Urbaniec3.253660M. Grundel1.331111113WSep 3 · 14:00M. Grundel1.831113113L. Velebil1.8371160WAug 27 · 17:28M. Grundel1.831111109113L. Prikasky1.8382121192LAug 27 · 16:00L. Prikasky1.83119811113M. Grundel1.8361111882WAug 27 · 15:00D. Tomica2.257450M. Grundel1.571111113WAug 27 · 14:30M. Grundel2.001111113L. Velebil1.737750
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