TT Lossbeater/Czech Liga Pro
Czech Liga ProMatch #13013661
Played Aug 26Finished
Oleksandr Kolisnyk
Home
2.25
At publish
Lost last 4Form at publish
1–9Last 10Lost last 4
Final
0 – 3
Set by set
911611711––––
Filip Wolf
Away
1.57
At publish
Won last 1Form at publish
5–5Last 10Won last 1
The read, and what happenedsealed at 13:37 and never touched — 63.6% is still 63.6%
Graded at full timeFilip Wolf to win
63.6%
63.6%
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 goingOleksandr Kolisnyk above · Filip Wolf below
Set 1 · 9-11
Set 2 · 6-11
Set 3 · 7-11
Point 55 set 3, 7-11 — our read held Filip Wolf at 63.6%
55 points played in total.
H2H Oleksandr Kolisnyk 2–4 Filip Wolf Oleksandr Kolisnyk has won 2 of their 6 meetings.
The pickNo pick published
Sealed 13:37What took a side5 for · 1 against · 0 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.57 (59%)
Wolf
Correct
no bar to clear — a priced side always votes
H2H
2-4 in 6
Wolf
Correct
gap of 2 in 6, over the gap of 2
Rating (G2)
Kolisnyk 1738 vs Wolf 1844
Wolf
Correct
both rated, 106 points apart — no bar to clear
Form (L5)
Kolisnyk 20% vs Wolf 40%
Wolf
Correct
20pp gap, over the 15pp bar
Form (L10)
Kolisnyk 10% vs Wolf 50%
Wolf
Correct
40pp gap, over the 15pp bar
Streak
Kolisnyk -4 · Wolf +1
Kolisnyk
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.
5 for, 0 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 63% — Clear lean (leans Wolf) · live re-read · sealed at 64% before the first serve
Decision Summary
Why this prediction
- Wolf form (40%) is below what odds imply (64%)
Market vs Signals
Market oddsKolisnyk 2.25 / Wolf 1.57
Signal prob.37% / 63%
Edge (Wolf)+4.0pp
Czech Liga Pro · #13013661
Kolisnyk2.25
10%won 1 of 10 · last 10
Lost last 4
oldest → newest20%takes the first set · 2 of 10
As underdog47% won 86 of 182
Down 0–1, comes back25% 24 of 97
Down 0–2, comes back4% 2 of 52
Wolf1.57
50%won 5 of 10 · last 10
oldest → newest
50%takes the first set · 5 of 10
As favourite56% won 63 of 113
Up 2–0, closes it94% 33 of 35
Up 1–0, closes it73% 45 of 62
Head to head
H2H window
The recordacross 6 meetings
HomeKolisnyk2wins
AwayWolf4wins
Wolf leads 4–2.
First set to match win · in this matchup
HomeKolisnykn = 1, below the 3 needed
AwayWolf80%4 of 5
Set by set, in these 6 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Kolisnyk1Wolf5n = 6Wolf took 5 of 6
S2Kolisnyk2Wolf4n = 6Wolf took 4 of 6
S3Kolisnyk3Wolf3n = 6split evenly
S4
Only 2 matches reached it — below the 3 needed to publish a rate
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, home117%
3–2Decider, home00%
2–3Decider, away00%
1–3Four sets, away117%
0–3Straight, away350%
These 6 meetings
MetricKolisnykWolfK − WBasisWins24−2in 6 meetingsFirst set15−4of 6Avg pointsper match27.331.3−4.0per matchSweeps13−23–0 or 0–3
Career, not this matchup
MetricKolisnykWolfBasisWin rate · lifetime569 / 1127 vs 102 / 19850.5%51.5%569 / 1127 vs 102 / 198Avg sets wonper match2.01.9per matchAvg pointsper match38.737.0per 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
WolfKolisnyk 2.25/Wolf 1.57
Read onlywould have hit
What we said
62.9%
Wolf · sealed before the serve
What happened
0–3
Wolf won
Recent Results
H2H · no odds on record6
LAug 26 · 11:00O. Kolisnyk—9670F. Wolf—1111113
LAug 22 · 14:30O. Kolisnyk—7650F. Wolf—1111113
WAug 13 · 10:30O. Kolisnyk—101112113F. Wolf—1271091
WAug 13 · 08:00O. Kolisnyk—1111113F. Wolf—8520
LJun 9 · 16:59O. Kolisnyk—7370F. Wolf—1111113
LJun 9 · 16:30O. Kolisnyk—861151F. Wolf—11113113
O. Kolisnyk10
WSep 6 · 09:00E. Mares1.579111111102O. Kolisnyk2.25111369123LSep 6 · 08:30T. Postelt1.6111129113O. Kolisnyk2.205101181LSep 6 · 07:30O. Kolisnyk2.5089111172E. Mares1.50111169113LSep 6 · 06:30J. Vales1.3661111113O. Kolisnyk3.00118661LSep 5 · 20:58J. Jr1.5711119113O. Kolisnyk2.25691181LSep 5 · 20:30J. Kanera2.251111113O. Kolisnyk1.578760LSep 5 · 19:30O. Kolisnyk2.256490J. Jr1.571111113LSep 5 · 18:30M. Zahradka1.831111188113O. Kolisnyk1.8348201182WAug 30 · 09:30O. Kolisnyk1.531111711143J. Kanera2.38913115122WAug 30 · 08:00M. Huk1.9161111982O. Kolisnyk1.80118711113
F. Wolf10
WSep 2 · 02:00F. Wolf1.5011116113M. Huk2.50681171LSep 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. Wolf1.5361111113
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