TT Lossbeater/Czech Liga Pro
Martin Skakal vs Ondrej Svacha 0-3 · Czech Liga Pro
Czech Liga Pro
Played Oct 5Finished
Form at publish
4–6Last 10Lost last 1
Final
0 – 3
Set by set
511511911––––
Form at publish
5–5Last 10Lost last 1
The read, and what happenedsealed at 02:19 and never touched: 54.0% is still 54.0%
Graded at full timeMartin Skakal to win
54.0%
54.0%
Sealed before the first serve and never touched. The record is only checkable because of that.
Read
Wrongnot sent
How it is goingMartin Skakal above · Ondrej Svacha below
Set 1 · 5-11
Set 2 · 5-11
Set 3 · 9-11
Point 52 set 3, 9-11 · our read held Martin Skakal at 54.0%
52 points played in total.
H2H Martin Skakal 3–3 Ondrej Svacha Dead even across their 6 meetings.
Last 6 · 3–3Head to head
The pickNothing sent
Sealed 02:1954.0%Our read54.6%to break even at 1.833
short by 0.6pp54.6% (what it has to beat, and what the price implies: at 1.833 they are the same number)
What took a side1 for · 2 against · 3 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.83 (50%)
Svacha
Correct
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)
Skakal 1694 vs Svacha 1683
Skakal
Wrong
both rated, 10 points apart, no bar to clear
Form (L5)
Skakal 20% vs Svacha 40%
Svacha
Correct
20pp gap, over the 15pp bar
Form (L10)
Skakal 40% vs Svacha 50%
—
Too close
10pp gap, under the 15pp bar
Streak
Skakal -1 · Svacha -1
—
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.
1 for, 3 silent, and still no pick. The gate cuts it all the same.
Signal confidence: 54% · Coin-flip (leans Skakal) · sealed before the serve
Decision Summary
Why this prediction
- Svacha form (40%) is below what odds imply (55%)
Market vs Signals
Market oddsSkakal 1.833 / Svacha 1.833
Signal prob.54% / 46%
Edge (Skakal)-0.6pp
Czech Liga Pro · #13238406
Skakal1.83
40%won 4 of 10 · last 10
Last match: today
oldest → newest
30%takes the first set · 3 of 10
Svacha1.83
50%won 5 of 10 · last 10
Last match: today
oldest → newest
60%takes the first set · 6 of 10
Head to head
H2H window
The recordacross 6 meetings
HomeSkakal3wins
AwaySvacha3wins
Level at 3–3.
First set to match win · in this matchup
HomeSkakal100%3 of 3
AwaySvacha100%3 of 3
Set by set, in these 6 meetingsevery set carries its own n: a fifth set only exists when the match reaches one
S1Skakal3Svacha3n = 6split evenly
S2Skakal2Svacha4n = 6Svacha took 4 of 6
S3Skakal3Svacha3n = 6split evenly
S4Skakal2Svacha1n = 3Skakal 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, home233%
3–2Decider, home00%
2–3Decider, away00%
1–3Four sets, away117%
0–3Straight, away233%
These 6 meetings
MetricSkakalSvachaSkakal − SvachaBasisWins330in 6 meetingsFirst set330of 6Avg pointsper match32.835.3−2.5per matchSweeps12−13–0 or 0–3
Career, not this matchup
MetricSkakalSvachaBasisWin rate · lifetime100 / 190 vs 404 / 80852.6%50%100 / 190 vs 404 / 808Avg sets wonper match2.02.1per matchAvg pointsper match37.638.8per 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 1.83/Svacha 1.83
Read onlywould have missed
What we said
54%
Skakal · sealed before the serve
What happened
0–3
Svacha won
Recent Results
H2H · no odds on record6
WSep 30 · 19:00M. Skakal43111011113O. Svacha38812991
WSep 28 · 23:30M. Skakal4211911113O. Svacha37911981
LMay 4 · 02:00M. Skakal153390O. Svacha331111113
WApr 29 · 02:59M. Skakal331111113O. Svacha217770
LApr 29 · 00:30M. Skakal205870O. Svacha331111113
LApr 25 · 22:00M. Skakal441315881O. Svacha50151311113
M. Skakal10
LOct 5 · 01:30T. Franek1.67119612113M. Skakal2.10811111092WOct 5 · 00:00M. Skakal1.53414811123V. Vejvoda2.381112117102LOct 4 · 23:00R. Wagner1.61811411113M. Skakal2.2011111372LOct 4 · 21:30M. Skakal1.408119101V. Vejvoda2.7511411123LOct 4 · 20:00T. Franek1.6741111113M. Skakal2.10117691WOct 4 · 19:00V. Vejvoda3.75812731M. Skakal1.25111011113WOct 4 · 18:30M. Skakal1.83111111113O. Cmerda1.83133431LOct 1 · 03:30M. Wagner1.771111123M. Skakal1.9399100LOct 1 · 02:30M. Skakal1.61811381J. Tazler2.2011811113WOct 1 · 01:30M. Wagner2.2511961172M. Skakal1.57711119113
O. Svacha10
WOct 5 · 02:58O. Svacha1.911111123T. Franek1.8072100LOct 5 · 01:00V. Vejvoda2.631111109113O. Svacha1.4483121162WOct 4 · 23:30O. Svacha1.911113113T. Franek1.8051150LOct 4 · 22:00O. Svacha1.9157110R. Wagner1.801111133LOct 2 · 21:30R. Wagner2.207111511113O. Svacha1.6011817952WOct 2 · 20:30O. Svacha1.441110613113A. Brazda2.63412111152LOct 2 · 19:00O. Svacha1.6781141192R. Wagner2.10116110113WOct 2 · 18:00R. Rose3.004840O. Svacha1.361111113WSep 30 · 20:59O. Svacha1.80111210113O. Cmerda1.917101291WSep 30 · 20:30O. Svacha1.831111128113O. Cmerda1.8349141182
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