TT Lossbeater/TT Cup
TT CupMatch #13057740
Played Sep 1Finished
Marek Zaskodny
Home
1.67
At publish
Won last 1Form at publish
4–6Last 10Won last 1
Final
2 – 3
Set by set
101215131181517911
David Skulina
Away
2.10
At publish
Lost last 1Form at publish
6–4Last 10Lost last 1
The read, and what happenedsealed at 07:13 and never touched — 54.0% is still 54.0%
Graded at full timeMarek Zaskodny 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 goingMarek Zaskodny above · David Skulina below
Set 1 · 10-12
Set 2 · 15-13
Set 3 · 11-8
Set 4 · 15-17
Set 5 · 9-11
Point 121 set 5, 9-11 — our read held Marek Zaskodny at 54.0%
121 points played in total.
H2H Marek Zaskodny 2–2 David Skulina Dead even across their 4 meetings.
Last 4 · 2–2Head to head
The pickNo pick published
Sealed 07:13What took a side2 for · 2 against · 2 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.67 (56%)
Zaskodny
Wrong
no bar to clear — a priced side always votes
H2H
2-2 in 4
—
Too close
gap of 0, under the gap of 2
Rating (G2)
Zaskodny 1585 vs Skulina 1609
Skulina
Correct
both rated, 24 points apart — no bar to clear
Form (L5)
Zaskodny 60% vs Skulina 40%
Zaskodny
Wrong
20pp gap, over the 15pp bar
Form (L10)
Zaskodny 40% vs Skulina 60%
Skulina
Correct
20pp gap, over the 15pp bar
Streak
Zaskodny +1 · Skulina -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.
2 for, 2 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 54% — Coin-flip (leans Zaskodny)
Decision Summary
Market vs Signals
Market oddsZaskodny 1.67 / Skulina 2.10
Signal prob.54% / 46%
Edge (Zaskodny)-1.8pp (anti-value)
TT Cup · #13057740
Zaskodny1.67
40%won 4 of 10 · last 10
oldest → newest
30%takes the first set · 3 of 10
As favourite60% won 28 of 47
Up 2–0, closes it94% 17 of 18
Up 1–0, closes it82% 22 of 27
Skulina2.10
60%won 6 of 10 · last 10
oldest → newest
60%takes the first set · 6 of 10
As underdog48% won 14 of 29
Down 0–1, comes back27% 4 of 15
Down 0–2, comes back10% 1 of 10
Head to head
H2H window
The recordacross 4 meetings
HomeZaskodny2wins
AwaySkulina2wins
Level at 2–2.
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 these 4 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Zaskodny2Skulina2n = 4split evenly
S2Zaskodny4Skulina0n = 4Zaskodny took 4 of 4
S3Zaskodny2Skulina2n = 4split evenly
S4
Only 2 matches reached it — below the 3 needed to publish a rate
How those 4 finishedcounts, and the six add up to 4 — a scoreline is a name, not a code
3–0Straight, home250%
3–1Four sets, home00%
3–2Decider, home00%
2–3Decider, away00%
1–3Four sets, away250%
0–3Straight, away00%
These 4 meetings
MetricZaskodnySkulinaZ − SBasisWins220in 4 meetingsFirst set220of 4Avg pointsper match33.832.5+1.3per matchSweeps20+23–0 or 0–3
Career, not this matchup
MetricZaskodnySkulinaBasisWin rate · lifetime115 / 276 vs 62 / 12541.7%49.6%115 / 276 vs 62 / 125Avg sets wonper match1.82.0per matchAvg pointsper match36.638.3per 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
ZaskodnyZaskodny 1.67/Skulina 2.10
Read onlywould have missed
What we said
54%
Zaskodny · sealed before the serve
What happened
2–3
Skulina won
Recent Results
H2H · no odds on record4
WApr 16 · 20:10M. Zaskodny—1211113D. Skulina—10840
LJan 6 · 15:45M. Zaskodny—612791D. Skulina—111011113
LDec 9 · 17:45M. Zaskodny—911661D. Skulina—11711113
WDec 9 · 16:10M. Zaskodny—1111133D. Skulina—68110
M. Zaskodny10
WSep 1 · 16:40D. Skulina2.63911118102M. Zaskodny1.44119511123LSep 1 · 15:40M. Zaskodny1.44109111162J. Gembala2.63121189113LSep 1 · 14:40M. Zaskodny2.10117881F. Chaloupka1.6781111113WSep 1 · 01:15M. Zaskodny1.671111113J. Gembala2.106950LAug 31 · 23:45P. Vicherek1.611313113M. Zaskodny2.20111170LAug 31 · 23:15J. Rak1.6111913113M. Zaskodny2.209111181WAug 31 · 16:45M. Zaskodny1.531111113J. Gembala2.388130WAug 24 · 16:39M. Zaskodny1.9191111113D. Sarganek1.80119981WAug 24 · 16:10D. Sarganek1.737490M. Zaskodny2.001111113LAug 24 · 15:10M. Zaskodny2.2591311232P. Vicherek1.571111911113
D. Skulina10
WSep 6 · 20:48P. Marsalek2.0058100D. Skulina1.731111123LSep 6 · 19:40D. Skulina1.6711119492M. Macurak2.10771111113LSep 6 · 18:40D. Skulina1.674770J. Travnicek2.101111113LSep 6 · 17:40D. Skulina1.50101331182P. Marsalek2.501211117113WSep 4 · 21:10D. Skulina1.5761111153K. Kleprlik2.251177131LSep 4 · 19:45I. Heuman1.9111143113D. Skulina1.809121161WSep 4 · 19:15J. Travnicek2.25751611102D. Skulina1.571111148123WSep 4 · 18:15D. Skulina1.6161114113K. Kleprlik2.201141291WSep 4 · 17:10D. Skulina1.3611611113J. Skvrna3.00511681LSep 1 · 16:40D. Skulina2.63911118102M. Zaskodny1.44119511123
Upcoming Matches
M. Zaskodny
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D. Skulina
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