TT Lossbeater/TT Cup
TT CupMatch #13051607
Played Sep 1Finished
Marek Zaskodny
Home
1.67
At publish
Lost last 2Form at publish
3–7Last 10Lost last 2
Final
3 – 0
Set by set
116119115––––
Jan Gembala
Away
2.10
At publish
Lost last 4Form at publish
4–6Last 10Lost last 4
The read, and what happenedsealed at 09:15 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
Rightpick shipped
How it is goingMarek Zaskodny above · Jan Gembala below
Set 1 · 11-6
Set 2 · 11-9
Set 3 · 11-5
Point 53 set 3, 11-5 — our read held Marek Zaskodny at 54.0%
53 points played in total.
H2H Marek Zaskodny 7–8 Jan Gembala Marek Zaskodny has won 7 of their 15 meetings.
Last 10 · 5–5Head to head
The pickNo pick published
Sealed 09:15What took a side2 for · 2 against · 2 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.67 (56%)
Zaskodny
Correct
no bar to clear — a priced side always votes
H2H
7-8 in 15
—
Too close
gap of 1, under the gap of 2
Rating (G2)
Zaskodny 1548 vs Gembala 1705
Gembala
Wrong
both rated, 157 points apart — no bar to clear
Form (L5)
Zaskodny 60% vs Gembala 20%
Zaskodny
Correct
40pp gap, over the 15pp bar
Form (L10)
Zaskodny 30% vs Gembala 40%
—
Too close
10pp gap, under the 15pp bar
Streak
Zaskodny -2 · Gembala -4
Gembala
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, 2 silent — and the gate let it through as .
Signal confidence: 54% — Coin-flip (leans Zaskodny)
Decision Summary
Why this prediction
- Gembala form (60%) outperforms what odds imply (48%)
Market vs Signals
Market oddsZaskodny 1.67 / Gembala 2.10
Signal prob.54% / 46%
Edge (Gembala)+1.8pp
TT Cup · #13051607
Zaskodny1.67
30%won 3 of 10 · last 10
Lost last 2
oldest → newest30%takes the first set · 3 of 10
As favourite58% won 26 of 45
Up 2–0, closes it94% 15 of 16
Up 1–0, closes it80% 20 of 25
Gembala2.10
40%won 4 of 10 · last 10
Lost last 4
oldest → newest60%takes the first set · 6 of 10
As underdog54% won 31 of 57
Down 0–1, comes back30% 8 of 27
Down 0–2, comes back0% 0 of 9
Head to head
H2H window
The recordacross 10 meetings
HomeZaskodny5wins
AwayGembala5wins
4 of 10 to a deciderLevel at 5–5, and 4 of those 10 went to a fifth set.
First set to match win · in this matchup
HomeZaskodny100%3 of 3
AwayGembala71.4%5 of 7
Set by set, in these 10 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Zaskodny3Gembala7n = 10Gembala took 7 of 10
S2Zaskodny6Gembala4n = 10Zaskodny took 6 of 10
S3Zaskodny3Gembala7n = 10Gembala took 7 of 10
S4Zaskodny4Gembala3n = 7Zaskodny took 4 of 7
S5Zaskodny3Gembala1n = 4Zaskodny took 3 of 4
How those 10 finishedcounts, and the six add up to 10 — a scoreline is a name, not a code
3–0Straight, home110%
3–1Four sets, home110%
3–2Decider, home330%
2–3Decider, away110%
1–3Four sets, away220%
0–3Straight, away220%
These 10 meetings
MetricZaskodnyGembalaZ − GBasisWins550in 10 meetingsFirst set37−4of 10Avg pointsper match38.538.8−0.3per matchSweeps12−13–0 or 0–3
Career, not this matchup
MetricZaskodnyGembalaBasisWin rate · lifetime113 / 272 vs 192 / 35341.5%54.4%113 / 272 vs 192 / 353Avg sets wonper match1.82.1per matchAvg pointsper match36.738.1per 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
GembalaZaskodny 1.67/Gembala 2.10
Read onlywould have missed
What we said
54%
Zaskodny · sealed before the serve
What happened
3–0
Zaskodny won
Recent Results
H2H · no odds on record10
WJul 30 · 20:10M. Zaskodny—1581011113J. Gembala—131112892
WJul 26 · 15:10M. Zaskodny—811711113J. Gembala—11411352
WJul 13 · 20:40M. Zaskodny—1111113J. Gembala—8590
LJul 13 · 20:10M. Zaskodny—77110J. Gembala—1111133
LJun 9 · 16:15M. Zaskodny—51111192J. Gembala—118116113
LMay 24 · 12:40M. Zaskodny—911471J. Gembala—11811113
WMay 24 · 09:40M. Zaskodny—11117113J. Gembala—971181
LApr 6 · 06:40M. Zaskodny—89140J. Gembala—1111163
WMar 31 · 18:45M. Zaskodny—912119113J. Gembala—111071142
LFeb 21 · 08:10M. Zaskodny—891151J. Gembala—11117113
M. Zaskodny10
WSep 1 · 16:40D. Skulina2.63911118102M. Zaskodny1.44119511123LSep 1 · 15:40M. Zaskodny1.44109111162J. Gembala2.63121189113LSep 1 · 14:40M. Zaskodny2.10117881F. Chaloupka1.6781111113LSep 1 · 13:40M. Zaskodny1.671015111592D. Skulina2.101213817113LAug 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
J. Gembala10
WSep 6 · 09:25J. Gembala1.611111113D. Stusek2.206970WSep 6 · 07:40B. Moravec1.80611761J. Gembala1.9111211113WSep 6 · 07:10D. Stusek2.381210961J. Gembala1.53101211113WSep 6 · 06:10J. Gembala1.831111113F. Chaloupka1.831880WSep 1 · 17:09J. Gembala1.9112118113F. Chaloupka1.801091171WSep 1 · 15:40M. Zaskodny1.44109111162J. Gembala2.63121189113WSep 1 · 15:10D. Skulina2.254860J. Gembala1.571111113LSep 1 · 14:10J. Gembala1.831121171F. Chaloupka1.8371113113LSep 1 · 24:15J. Gembala2.5051070J. Rak1.501112113LAug 31 · 16:45M. Zaskodny1.531111113J. Gembala2.388130
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