TT Lossbeater/Czech Liga Pro
Ondrej Svacha vs Martin Skakal 1-3 · Czech Liga Pro
Czech Liga Pro
Played Oct 7Finished
Form at publish
6–4Last 10Won last 4
Final
1 – 3
Set by set
117711511711––
Form at publish
3–7Last 10Lost last 4
The read, and what happenedsealed at 00:16 and never touched: 57.0% is still 57.0%
Graded at full timeOndrej Svacha to win
57.0%
57.0%
Sealed before the first serve and never touched. The record is only checkable because of that.
Read
Wrongnot sent
How it is goingOndrej Svacha above · Martin Skakal below
Set 1 · 11-7
Set 2 · 7-11
Set 3 · 5-11
Set 4 · 7-11
Point 70 set 4, 7-11 · our read held Ondrej Svacha at 57.0%
70 points played in total.
H2H Ondrej Svacha 4–3 Martin Skakal Martin Skakal has won 3 of their 7 meetings.
The pickNothing sent
Sealed 00:1657.0%Our read60.0%to break even at 1.666
short by 3.0pp60.0% (what it has to beat, and what the price implies: at 1.666 they are the same number)
What took a side4 for · 0 against · 2 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.67 (56%)
Svacha
Wrong
no bar to clear: a priced side always votes
H2H
4-3 in 7
—
Too close
gap of 1, under the gap of 2
Rating (G2)
Svacha 1733 vs Skakal 1656
Svacha
Wrong
both rated, 76 points apart, no bar to clear
Form (L5)
Svacha 80% vs Skakal 20%
Svacha
Wrong
60pp gap, over the 15pp bar
Form (L10)
Svacha 60% vs Skakal 30%
Svacha
Wrong
30pp gap, over the 15pp bar
Streak
Svacha +4 · Skakal -4
—
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.
4 for, 2 silent, and still no pick. The gate cuts it all the same.
Signal confidence: 57% · Slight lean (leans Svacha) · sealed before the serve
Decision Summary
Why this prediction
- Skakal form (20%) is below what odds imply (48%)
Market vs Signals
Market oddsSvacha 1.666 / Skakal 2.10
Signal prob.57% / 43%
Edge (Svacha)-3.0pp (anti-value)
Czech Liga Pro · #13249278
Svacha1.67
60%won 6 of 10 · last 10
Last match: today
Won last 4
oldest → newest60%takes the first set · 6 of 10
As favourite59% won 94 of 159
Up 2–0, closes it97% 55 of 57
Up 1–0, closes it81% 75 of 93
Skakal2.10
30%won 3 of 10 · last 10
Last match: today
Lost last 4
oldest → newest30%takes the first set · 3 of 10
As underdog41% won 30 of 73
Down 0–1, comes back27% 12 of 44
Down 0–2, comes back9% 2 of 23
Head to head
H2H window
The recordacross 7 meetings
HomeSvacha4wins
AwaySkakal3wins
Svacha leads 4–3.
First set to match win · in this matchup
HomeSvacha100%4 of 4
AwaySkakal100%3 of 3
Set by set, in these 7 meetingsevery set carries its own n: a fifth set only exists when the match reaches one
S1Svacha4Skakal3n = 7Svacha took 4 of 7
S2Svacha5Skakal2n = 7Svacha took 5 of 7
S3Svacha4Skakal3n = 7Svacha took 4 of 7
S4Svacha1Skakal2n = 3Skakal took 2 of 3
How those 7 finishedcounts, and the six add up to 7. A scoreline is a name, not a code
3–0Straight, home343%
3–1Four sets, home114%
3–2Decider, home00%
2–3Decider, away00%
1–3Four sets, away229%
0–3Straight, away114%
These 7 meetings
MetricSvachaSkakalSvacha − SkakalBasisWins43+1in 7 meetingsFirst set43+1of 7Avg pointsper match35.030.9+4.1per matchSweeps31+23–0 or 0–3
Career, not this matchup
MetricSvachaSkakalBasisWin rate · lifetime405 / 807 vs 100 / 19350.2%51.8%405 / 807 vs 100 / 193Avg sets wonper match2.12.0per matchAvg pointsper match38.837.5per 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
SvachaSvacha 1.67/Skakal 2.10
Read onlywould have missed
What we said
57%
Svacha · sealed before the serve
What happened
1–3
Skakal won
Recent Results
H2H · no odds on record7
WOct 5 · 02:30O. Svacha331111113M. Skakal195590
LSep 30 · 19:00O. Svacha38812991M. Skakal43111011113
LSep 28 · 23:30O. Svacha37911981M. Skakal4211911113
WMay 4 · 02:00O. Svacha331111113M. Skakal153390
LApr 29 · 02:59O. Svacha217770M. Skakal331111113
WApr 29 · 00:30O. Svacha331111113M. Skakal205870
WApr 25 · 22:00O. Svacha50151311113M. Skakal441315881
O. Svacha10
WOct 6 · 23:00O. Svacha1.831111113M. Hampl1.835670WOct 6 · 22:00T. Franek2.10118991O. Svacha1.6751111113WOct 5 · 02:58O. Svacha1.911111123T. Franek1.8072100WOct 5 · 02:30M. Skakal1.835590O. Svacha1.831111113LOct 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. Wagner2.10116110113
M. Skakal10
LOct 6 · 23:30T. Franek1.731111115113M. Skakal2.0098131192LOct 6 · 22:30M. Skakal1.8051080M. Wagner1.911112113LOct 5 · 02:30M. Skakal1.835590O. Svacha1.831111113LOct 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. Cmerda1.83133431
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