TT Lossbeater/Czech Liga Pro
Czech Liga ProMatch #12480330
Played Aug 23Finished
Martin Skakal
Home
2.25
At publish
Won last 1Form at publish
4–6Last 10Won last 1
Final
3 – 0
Set by set
114119115––––
Robin Pacha
Away
1.57
At publish
Lost last 10Form at publish
0–10Last 10Lost last 10
The read, and what happenedsealed at 13:32 and never touched — 58.9% is still 58.9%
Graded at full timeRobin Pacha to win
58.9%
58.9%
Sealed before the first serve and never touched. The record is only checkable because of that.
Read
Wrongno pick shipped
How it is goingMartin Skakal above · Robin Pacha below
Set 1 · 11-4
Set 2 · 11-9
Set 3 · 11-5
Point 51 set 3, 11-5 — our read held Robin Pacha at 58.9%
51 points played in total.
H2H Martin Skakal 0–1 Robin Pacha Martin Skakal has won 0 of their 1 meetings.
The pickNo pick published
Sealed 13:32What took a side2 for · 3 against · 1 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.57 (59%)
Pacha
Wrong
no bar to clear — a priced side always votes
H2H
0-1 in 1
—
Too close
1 played, under the floor of 3
Rating (G2)
Skakal 1659 vs Pacha 1587
Skakal
Correct
both rated, 72 points apart — no bar to clear
Form (L5)
Skakal 40% vs Pacha 0%
Skakal
Correct
40pp gap, over the 15pp bar
Form (L10)
Skakal 40% vs Pacha 0%
Skakal
Correct
40pp gap, over the 15pp bar
Streak
Skakal +1 · Pacha -5
Pacha
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.
2 for, 1 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 54% — Coin-flip (leans Skakal) · live re-read · sealed at 41% before the first serve
Decision Summary
Why this prediction
- Pacha form (0%) is below what odds imply (64%)
Market vs Signals
Market oddsSkakal 2.25 / Pacha 1.57
Signal prob.54% / 46%
Edge (Skakal)+12.9pp
Czech Liga Pro · #12480330
Skakal2.25
40%won 4 of 10 · last 10
oldest → newest
40%takes the first set · 4 of 10
As underdog38% won 18 of 47
Down 0–1, comes back31% 9 of 29
Down 0–2, comes back0% 0 of 13
Pacha1.57
0%won 0 of 10 · last 10
Lost last 10
oldest → newest0%takes the first set · 0 of 10
As favourite70% won 49 of 70
Up 2–0, closes it100% 17 of 17
Up 1–0, closes it94% 30 of 32
Head to head
H2H window
The recordacross 1 meeting
HomeSkakal0wins
AwayPacha1wins
Pacha leads 1–0.
First set to match win · in this matchup
Not enough first sets
Neither side has won the first set three times here, so there is no rate to publish.
Set by set, in this 1 meetingevery set carries its own n — a fifth set only exists when the match reaches one
S1
Only 1 match reached it — below the 3 needed to publish a rate
S2
Only 1 match reached it — below the 3 needed to publish a rate
S3
Only 1 match reached it — below the 3 needed to publish a rate
How that 1 finishedn = 1, below the 3 needed
3–0Straight, home0
3–1Four sets, home0
3–2Decider, home0
2–3Decider, away0
1–3Four sets, away0
0–3Straight, away1
This 1 meeting
MetricSkakalPachaS − PBasisWins01−1in 1 meetingFirst set01−1of 1Avg pointsper match25.035.0−10.0per matchSweeps01−13–0 or 0–3
Career, not this matchup
MetricSkakalPachaBasisWin rate · lifetime60 / 120 vs 183 / 33450%54.8%60 / 120 vs 183 / 334Avg sets wonper match2.02.1per matchAvg pointsper match37.738.1per 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
SkakalSkakal 2.25/Pacha 1.57
Read onlywould have hit
What we said
54%
Skakal · sealed before the serve
What happened
3–0
Skakal won
Recent Results
H2H · no odds on record1
LJul 18 · 20:00M. Skakal—59110R. Pacha—1111133
M. Skakal10
LAug 31 · 03:30V. Vejvoda1.6511116113M. Skakal2.10691161LAug 31 · 02:30M. Skakal2.1071260V. Vejvoda1.671114113WAug 31 · 01:30M. Sobisek2.1011881182M. Skakal1.67811117113WAug 31 · 24:00M. Skakal1.731111113M. Chlebecek2.007450WAug 30 · 23:00M. Klement1.57111161082M. Skakal2.25581112113LAug 28 · 03:02M. Skakal1.73119811102R. Wagner2.00511114123LAug 28 · 02:00M. Skakal2.2051160J. Louda1.611113113LAug 28 · 01:00M. Skakal2.1011117832S. Kasnik1.67731111113WAug 28 · 24:00R. Wagner1.6791511832M. Skakal2.101113711113WAug 27 · 22:30D. Hofman1.8035100M. Skakal1.911111123
R. Pacha10
LSep 5 · 21:28R. Wagner1.611111113R. Pacha2.206780WSep 5 · 20:30R. Pacha1.6711118113D. Hofman2.10551161WSep 5 · 19:00R. Pacha1.671111113K. Schopf2.107580LSep 5 · 18:00R. Wagner1.61111111113R. Pacha2.20613691WAug 29 · 20:59R. Pacha1.5311119113M. Sobisek2.38761191LAug 29 · 20:00R. Pacha1.6711116882M. Sychra2.10761111113WAug 29 · 19:30M. Sobisek2.75155981R. Pacha1.40131111113LAug 29 · 18:00R. Pacha1.67149591V. Vejvoda2.10121111113WAug 23 · 20:58M. Sopko2.0011139792R. Pacha1.735111111113LAug 23 · 19:00M. Wagner1.83141414143R. Pacha1.83121612121
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