TT Lossbeater/Czech Liga Pro
Czech Liga ProMatch #13021338
Played Aug 28Finished
Martin Skakal
Home
2.20
At publish
Lost last 1Form at publish
6–4Last 10Lost last 1
Final
0 – 3
Set by set
5111113611––––
Jiri Louda
Away
1.62
At publish
Won last 2Form at publish
6–4Last 10Won last 2
The read, and what happenedsealed at 14:48 and never touched — 58.9% is still 58.9%
Graded at full timeJiri Louda to win
58.9%
58.9%
Sealed before the first serve and never touched. The record is only checkable because of that.
Read
Rightno pick shipped
«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 goingMartin Skakal above · Jiri Louda below
Set 1 · 5-11
Set 2 · 11-13
Set 3 · 6-11
Point 57 set 3, 6-11 — our read held Jiri Louda at 58.9%
57 points played in total.
H2H Martin Skakal 0–3 Jiri Louda Martin Skakal has won 0 of their 3 meetings.
The pickNo pick published
Sealed 14:48What took a side3 for · 0 against · 3 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.61 (58%)
Louda
Correct
no bar to clear — a priced side always votes
H2H
0-3 in 3
Louda
Correct
gap of 3 in 3, over the gap of 2
Rating (G2)
Skakal 1693 vs Louda 1705
Louda
Correct
both rated, 12 points apart — no bar to clear
Form (L5)
Skakal 40% vs Louda 40%
—
Too close
0pp gap, under the 15pp bar
Form (L10)
Skakal 60% vs Louda 60%
—
Too close
0pp gap, under the 15pp bar
Streak
Skakal -1 · Louda +2
—
Too close
neither holds a run of 3 on their own
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, 3 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 58% — Slight lean (leans Louda) · live re-read · sealed at 59% before the first serve
Decision Summary
Why this prediction
- Louda form (40%) is below what odds imply (62%)
Market vs Signals
Market oddsSkakal 2.20 / Louda 1.61
Signal prob.42% / 58%
Edge (Louda)+0.0pp
Czech Liga Pro · #13021338
Skakal2.20
60%won 6 of 10 · last 10
oldest → newest
80%takes the first set · 8 of 10
As underdog41% won 23 of 56
Down 0–1, comes back32% 10 of 31
Down 0–2, comes back7% 1 of 14
Louda1.61
60%won 6 of 10 · last 10
Won last 2
oldest → newest60%takes the first set · 6 of 10
As favourite57% won 197 of 347
Up 2–0, closes it87% 90 of 104
Up 1–0, closes it72% 139 of 193
Head to head
H2H window
The recordacross 3 meetings
HomeSkakal0wins
AwayLouda3wins
Louda leads 3–0.
First set to match win · in this matchup
HomeSkakaln = 0, below the 3 needed
AwayLouda100%3 of 3
Set by set, in these 3 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Skakal0Louda3n = 3Louda took 3 of 3
S2Skakal1Louda2n = 3Louda took 2 of 3
S3Skakal0Louda3n = 3Louda took 3 of 3
S4
Only 1 match reached it — below the 3 needed to publish a rate
How those 3 finishedcounts, and the six add up to 3 — a scoreline is a name, not a code
3–0Straight, home00%
3–1Four sets, home00%
3–2Decider, home00%
2–3Decider, away00%
1–3Four sets, away133%
0–3Straight, away267%
These 3 meetings
MetricSkakalLoudaS − LBasisWins03−3in 3 meetingsFirst set03−3of 3Avg pointsper match25.337.3−12.0per matchSweeps02−23–0 or 0–3
Career, not this matchup
MetricSkakalLoudaBasisWin rate · lifetime67 / 132 vs 613 / 119950.8%51.1%67 / 132 vs 613 / 1199Avg sets wonper match2.02.1per matchAvg pointsper match37.638.5per 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
LoudaSkakal 2.20/Louda 1.61
Read onlywould have hit
What we said
57.7%
Louda · sealed before the serve
What happened
0–3
Louda won
Recent Results
H2H · no odds on record3
LAug 28 · 02:00M. Skakal—51160J. Louda—1113113
LJul 18 · 23:30M. Skakal—5114111J. Louda—11711133
LApr 26 · 24:30M. Skakal—66110J. Louda—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 · 01:00M. Skakal2.1011117832S. Kasnik1.67731111113WAug 28 · 24:00R. Wagner1.6791511832M. Skakal2.101113711113WAug 27 · 22:30D. Hofman1.8035100M. Skakal1.911111123LAug 24 · 03:00M. Skakal4.3311731192V. Cermak1.19811116113
J. Louda10
WSep 7 · 03:30M. Sychra2.40371191J. Louda1.5011117113WSep 7 · 02:30J. Louda1.731412113V. Vejvoda2.00121080LSep 7 · 01:30M. Sychra2.5012111112113J. Louda1.50149131062WSep 7 · 24:00J. Louda1.831111113K. Schopf1.838660WSep 6 · 23:00J. Tazler2.38811111482J. Louda1.531191312113WSep 6 · 13:01J. Louda1.531112113P. Saleny2.3871040WSep 6 · 12:30J. Louda1.831312113P. Saleny1.83111070LSep 6 · 11:00J. Louda2.101081581M. Wagner1.67121113113LSep 6 · 10:00A. Brazda2.6391111143J. Louda1.441198121LSep 4 · 09:30P. Saleny1.83111011113J. Louda1.83712481
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