TT Lossbeater/Czech Liga Pro
Czech Liga ProMatch #13052876
Played Sep 1Finished
Jakub Kycelt
Home
1.91
At publish
Won last 2Form at publish
4–6Last 10Won last 2
Final
2 – 3
Set by set
10121181210511711
Filip Wolf
Away
1.80
At publish
Lost last 2Form at publish
4–6Last 10Lost last 2
The read, and what happenedsealed at 13:14 and never touched — 54.0% is still 54.0%
Graded at full timeFilip Wolf to win
54.0%
54.0%
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 goingJakub Kycelt above · Filip Wolf below
Set 1 · 10-12
Set 2 · 11-8
Set 3 · 12-10
Set 4 · 5-11
Set 5 · 7-11
Point 97 set 5, 7-11 — our read held Filip Wolf at 54.0%
97 points played in total.
H2H Jakub Kycelt 3–5 Filip Wolf Jakub Kycelt has won 3 of their 8 meetings.
The pickNo pick published
Sealed 13:14What took a side3 for · 0 against · 3 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.80 (51%)
Wolf
Correct
no bar to clear — a priced side always votes
H2H
3-5 in 8
Wolf
Correct
gap of 2 in 8, over the gap of 2
Rating (G2)
Kycelt 1792 vs Wolf 1855
Wolf
Correct
both rated, 63 points apart — no bar to clear
Form (L5)
Kycelt 60% vs Wolf 60%
—
Too close
0pp gap, under the 15pp bar
Form (L10)
Kycelt 40% vs Wolf 40%
—
Too close
0pp gap, under the 15pp bar
Streak
Kycelt +2 · Wolf -2
—
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, 3 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 54% — Coin-flip (leans Wolf)
Decision Summary
Market vs Signals
Market oddsKycelt 1.91 / Wolf 1.80
Signal prob.46% / 54%
Edge (Wolf)+2.5pp
Czech Liga Pro · #13052876
Kycelt1.91
40%won 4 of 10 · last 10
Won last 2
oldest → newest30%takes the first set · 3 of 10
As underdog44% won 52 of 118
Down 0–1, comes back25% 16 of 63
Down 0–2, comes back0% 0 of 33
Wolf1.80
40%won 4 of 10 · last 10
Lost last 2
oldest → newest40%takes the first set · 4 of 10
As favourite56% won 66 of 119
Up 2–0, closes it94% 34 of 36
Up 1–0, closes it72% 47 of 65
Head to head
H2H window
The recordacross 8 meetings
HomeKycelt3wins
AwayWolf5wins
3 of 8 to a deciderWolf leads 5–3, and 3 of those 8 went to a fifth set.
First set to match win · in this matchup
HomeKycelt60%3 of 5
AwayWolf100%3 of 3
Set by set, in these 8 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Kycelt5Wolf3n = 8Kycelt took 5 of 8
S2Kycelt5Wolf3n = 8Kycelt took 5 of 8
S3Kycelt5Wolf3n = 8Kycelt took 5 of 8
S4Kycelt1Wolf3n = 4Wolf took 3 of 4
S5Kycelt0Wolf3n = 3Wolf took 3 of 3
How those 8 finishedcounts, and the six add up to 8 — a scoreline is a name, not a code
3–0Straight, home338%
3–1Four sets, home00%
3–2Decider, home00%
2–3Decider, away338%
1–3Four sets, away113%
0–3Straight, away113%
These 8 meetings
MetricKyceltWolfK − WBasisWins35−2in 8 meetingsFirst set53+2of 8Avg pointsper match37.635.9+1.7per matchSweeps31+23–0 or 0–3
Career, not this matchup
MetricKyceltWolfBasisWin rate · lifetime152 / 304 vs 105 / 20450%51.5%152 / 304 vs 105 / 204Avg sets wonper match2.02.0per matchAvg pointsper match37.037.1per 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
WolfKycelt 1.91/Wolf 1.80
Read onlywould have hit
What we said
54%
Wolf · sealed before the serve
What happened
2–3
Wolf won
Recent Results
H2H · no odds on record8
LSep 1 · 15:30J. Kycelt—101112572F. Wolf—1281011113
LJul 8 · 21:30J. Kycelt—1411721F. Wolf—121311113
WJul 8 · 20:00J. Kycelt—1111163F. Wolf—51140
LJun 25 · 20:00J. Kycelt—118156102F. Wolf—4111311123
LJun 25 · 16:00J. Kycelt—8850F. Wolf—1111113
LJun 5 · 15:00J. Kycelt—101171182F. Wolf—129119113
WMay 7 · 17:00J. Kycelt—1111113F. Wolf—8660
WMay 7 · 15:00J. Kycelt—1111113F. Wolf—0480
J. Kycelt10
LSep 2 · 21:28J. Kycelt1.50116871M. Huk2.5041111113LSep 2 · 20:00J. Kycelt1.916840T. Postelt1.801111113WSep 2 · 19:30J. Ruzicka2.509750J. Kycelt1.501111113WSep 2 · 18:00J. Kycelt1.531111113M. Huk2.388780WSep 2 · 03:00L. Zeman1.73891251J. Kycelt2.00111110113LSep 2 · 01:30J. Kycelt2.63913691E. Mares1.44111111113LSep 2 · 24:30M. Huk2.5011612113J. Kycelt1.508111081LSep 1 · 23:30L. Zeman1.7310111011123J. Kycelt2.00126125102WSep 1 · 22:30J. Kycelt1.9111113113F. Wolf1.80361191LSep 1 · 17:30J. Kycelt1.85116781T. Postelt1.8581111113
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. Postelt1.9111411113LSep 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
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