TT Lossbeater/Czech Liga Pro
Czech Liga ProMatch #13061207
Played Sep 2Finished
Filip Wolf
Home
1.50
At publish
Lost last 3Form at publish
4–6Last 10Lost last 3
Final
3 – 1
Set by set
116118611117––
Martin Huk
Away
2.50
At publish
Won last 4Form at publish
6–4Last 10Won last 4
The read, and what happenedsealed at 22:05 and never touched — 58.9% is still 58.9%
Graded at full timeFilip Wolf 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 goingFilip Wolf above · Martin Huk below
Set 1 · 11-6
Set 2 · 11-8
Set 3 · 6-11
Set 4 · 11-7
Point 71 set 4, 11-7 — our read held Filip Wolf at 58.9%
71 points played in total.
H2H Filip Wolf 5–2 Martin Huk Martin Huk has won 2 of their 7 meetings.
The pickNo pick published
Sealed 22:05What took a side3 for · 2 against · 1 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.50 (63%)
Wolf
Correct
no bar to clear — a priced side always votes
H2H
5-2 in 7
Wolf
Correct
gap of 3 in 7, over the gap of 2
Rating (G2)
Wolf 1814 vs Huk 1808
Wolf
Correct
both rated, 6 points apart — no bar to clear
Form (L5)
Wolf 20% vs Huk 80%
Huk
Wrong
60pp gap, over the 15pp bar
Form (L10)
Wolf 40% vs Huk 60%
Huk
Wrong
20pp gap, over the 15pp bar
Streak
Wolf -3 · Huk +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.
3 for, 1 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 64% — Clear lean (leans Wolf) · live re-read · sealed at 59% before the first serve
Decision Summary
Why this prediction
- Huk form (80%) outperforms what odds imply (40%)
Market vs Signals
Market oddsWolf 1.50 / Huk 2.50
Signal prob.64% / 36%
Edge (Wolf)+1.6pp
Czech Liga Pro · #13061207
Wolf1.50
40%won 4 of 10 · last 10
Lost last 3
oldest → newest30%takes the first set · 3 of 10
As favourite56% won 66 of 119
Up 2–0, closes it94% 34 of 36
Up 1–0, closes it72% 47 of 65
Huk2.50
60%won 6 of 10 · last 10
Won last 4
oldest → newest50%takes the first set · 5 of 10
As underdog41% won 134 of 324
Down 0–1, comes back24% 40 of 168
Down 0–2, comes back7% 6 of 86
Head to head
H2H window
The recordacross 7 meetings
HomeWolf5wins
AwayHuk2wins
4 of 7 to a deciderWolf leads 5–2, and 4 of those 7 went to a fifth set.
First set to match win · in this matchup
HomeWolf60%3 of 5
AwayHukn = 2, below the 3 needed
Set by set, in these 7 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Wolf5Huk2n = 7Wolf took 5 of 7
S2Wolf3Huk4n = 7Huk took 4 of 7
S3Wolf4Huk3n = 7Wolf took 4 of 7
S4Wolf5Huk0n = 5Wolf took 5 of 5
S5Wolf2Huk2n = 4split evenly
How those 7 finishedcounts, and the six add up to 7 — a scoreline is a name, not a code
3–0Straight, home229%
3–1Four sets, home114%
3–2Decider, home229%
2–3Decider, away229%
1–3Four sets, away00%
0–3Straight, away00%
These 7 meetings
MetricWolfHukW − HBasisWins52+3in 7 meetingsFirst set52+3of 7Avg pointsper match42.336.3+6.0per matchSweeps20+23–0 or 0–3
Career, not this matchup
MetricWolfHukBasisWin rate · lifetime105 / 207 vs 816 / 166250.7%49.1%105 / 207 vs 816 / 1662Avg sets wonper match1.92.0per matchAvg pointsper match37.038.5per 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
WolfWolf 1.50/Huk 2.50
Read onlywould have hit
What we said
64.1%
Wolf · sealed before the serve
What happened
3–1
Wolf won
Recent Results
H2H · no odds on record7
WJul 25 · 13:00F. Wolf—571111113M. Huk—11118732
LJul 25 · 11:30F. Wolf—111091152M. Huk—712117113
WJul 8 · 19:30F. Wolf—81111113M. Huk—118461
WJun 24 · 15:30F. Wolf—1211113M. Huk—10860
WMay 20 · 15:30F. Wolf—1111113M. Huk—7860
WApr 9 · 15:30F. Wolf—117611113M. Huk—51111682
LMar 31 · 14:30F. Wolf—1171111112M. Huk—911135133
F. Wolf10
LSep 2 · 01:00F. Wolf2.00118813102L. Zeman1.739111111123LSep 2 · 24:00E. Mares1.671112113F. Wolf2.1081060LSep 1 · 22:30J. Kycelt1.9111113113F. Wolf1.80361191WSep 1 · 17:00L. Jindrak1.50113691F. Wolf2.5091111113LSep 1 · 16:00F. Wolf1.80511751T. Postelt1.9111411113WSep 1 · 15:30J. Kycelt1.91101112572F. Wolf1.801281011113LSep 1 · 14:00F. Wolf2.6311131151L. Jindrak1.4413159113LAug 26 · 13:30F. Wolf1.538511101J. Ruzicka2.2011116123WAug 26 · 12:00J. Jr2.38119881F. Wolf1.5361111113WAug 26 · 11:00O. Kolisnyk2.259670F. Wolf1.571111113
M. Huk10
WSep 3 · 13:29M. Zahradka1.6110131081M. Huk2.20121112113WSep 3 · 12:30M. Huk1.8312119113J. Ruzicka1.831071191LSep 3 · 11:00M. Huk1.91711561M. Zahradka1.8011911113WSep 3 · 10:00E. Mares1.4461114662M. Huk2.631151211113LSep 3 · 09:28M. Zahradka1.801111113M. Huk1.915750LSep 3 · 08:00M. Zahradka1.73511114123M. Huk2.00118711102WSep 3 · 07:00M. Klimenta1.80118681M. Huk1.9141111113WSep 3 · 06:30M. Huk1.801171011113J. Ruzicka1.9161112772WSep 2 · 21:28J. Kycelt1.50116871M. Huk2.5041111113WSep 2 · 20:30M. Huk1.83118116113J. Ruzicka1.8331181152
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