TT Lossbeater/Czech Liga Pro
Czech Liga ProMatch #13018147
Played Aug 27Finished
Libor Prikasky
Home
1.83
At publish
Lost last 1Form at publish
3–7Last 10Lost last 1
Final
3 – 2
Set by set
116911811118118
Matej Grundel
Away
1.83
At publish
Won last 5Form at publish
7–3Last 10Won last 5
The read, and what happenedsealed at 10:37 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
Wrongno pick shipped
How it is goingLibor Prikasky above · Matej Grundel below
Set 1 · 11-6
Set 2 · 9-11
Set 3 · 8-11
Set 4 · 11-8
Set 5 · 11-8
Point 94 set 5, 11-8 — our read held Matej Grundel at 54.0%
94 points played in total.
H2H Libor Prikasky 6–7 Matej Grundel Libor Prikasky has won 6 of their 13 meetings.
The pickNo pick published
Sealed 10:37What took a side5 for · 0 against · 1 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.83 (50%)
Grundel
Wrong
no bar to clear — a priced side always votes
H2H
6-7 in 13
—
Too close
gap of 1, under the gap of 2
Rating (G2)
Prikasky 1807 vs Grundel 1849
Grundel
Wrong
both rated, 42 points apart — no bar to clear
Form (L5)
Prikasky 40% vs Grundel 100%
Grundel
Wrong
60pp gap, over the 15pp bar
Form (L10)
Prikasky 30% vs Grundel 70%
Grundel
Wrong
40pp gap, over the 15pp bar
Streak
Prikasky -1 · Grundel +5
Grundel
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 still no pick. The gate cuts it all the same.
Signal confidence: 54% — Coin-flip (leans Prikasky) · live re-read · sealed at 46% before the first serve
Decision Summary
Why this prediction
- Grundel form (100%) outperforms what odds imply (55%)
Market vs Signals
Market oddsPrikasky 1.83 / Grundel 1.83
Signal prob.54% / 46%
Edge (Prikasky)+4.0pp
Czech Liga Pro · #13018147
Prikasky1.83
30%won 3 of 10 · last 10
oldest → newest
30%takes the first set · 3 of 10
Grundel1.83
70%won 7 of 10 · last 10
Won last 5
oldest → newest80%takes the first set · 8 of 10
Head to head
H2H window
The recordacross 10 meetings
HomePrikasky4wins
AwayGrundel6wins
4 of 10 to a deciderGrundel leads 6–4, and 4 of those 10 went to a fifth set.
First set to match win · in this matchup
HomePrikasky40%2 of 5
AwayGrundel60%3 of 5
Set by set, in these 10 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Prikasky5Grundel5n = 10split evenly
S2Prikasky6Grundel4n = 10Prikasky took 6 of 10
S3Prikasky4Grundel6n = 10Grundel took 6 of 10
S4Prikasky2Grundel6n = 8Grundel took 6 of 8
S5Prikasky2Grundel2n = 4split evenly
How those 10 finishedcounts, and the six add up to 10 — a scoreline is a name, not a code
3–0Straight, home110%
3–1Four sets, home110%
3–2Decider, home220%
2–3Decider, away220%
1–3Four sets, away330%
0–3Straight, away110%
These 10 meetings
MetricPrikaskyGrundelP − GBasisWins46−2in 10 meetingsFirst set550of 10Avg pointsper match38.940.5−1.6per matchSweeps1103–0 or 0–3
Career, not this matchup
MetricPrikaskyGrundelBasisWin rate · lifetime242 / 431 vs 159 / 30256.2%52.7%242 / 431 vs 159 / 302Avg sets wonper match2.12.1per matchAvg pointsper match37.038.5per 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
PrikaskyPrikasky 1.83/Grundel 1.83
Read onlywould have hit
What we said
54%
Prikasky · sealed before the serve
What happened
3–2
Prikasky won
Recent Results
H2H · no odds on record10
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
LMay 27 · 14:30L. Prikasky—712851M. Grundel—111011113
WJan 6 · 18:30L. Prikasky—1111113M. Grundel—7380
L. Prikasky10
LSep 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. Navedla1.6711751252LSep 4 · 12:30L. Prikasky2.00771271P. Wawrosz1.73111110113
M. Grundel10
LSep 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. Prikasky1.8382121192WAug 27 · 15:00D. Tomica2.257450M. Grundel1.571111113WAug 27 · 14:30M. Grundel2.001111113L. Velebil1.737750WAug 26 · 17:03M. Grundel1.771011812113L. Prikasky1.95127111072WAug 26 · 16:59M. Grundel1.911011812113P. Libor1.80127111072WAug 26 · 16:30M. Grundel1.80113111113M. Navedla1.9161161192
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