TT Lossbeater/Czech Liga Pro
Czech Liga ProMatch #12392082
Played Aug 9Finished
Michal Hampl
Home
2.50
At publish
Won last 2Form at publish
4–6Last 10Won last 2
Final
3 – 1
Set by set
711111115116––
Denis Hofman
Away
1.50
At publish
Lost last 1Form at publish
6–4Last 10Lost last 1
The read, and what happenedsealed at 21:04 and never touched — 54.0% is still 54.0%
Graded at full timeMichal Hampl to win
54.0%
54.0%
Sealed before the first serve and never touched. The record is only checkable because of that.
Read
Rightnot sent
«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 goingMichal Hampl above · Denis Hofman below
Set 1 · 7-11
Set 2 · 11-1
Set 3 · 11-5
Set 4 · 11-6
Point 63 set 4, 11-6 — our read held Michal Hampl at 54.0%
63 points played in total.
H2H Michal Hampl 4–6 Denis Hofman Michal Hampl has won 4 of their 10 meetings.
The pickNothing sent
Sealed 21:04What took a side1 for · 3 against · 2 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.50 (63%)
Hofman
Wrong
no bar to clear — a priced side always votes
H2H
4-6 in 10
Hofman
Wrong
gap of 2 in 10, over the gap of 2
Rating (G2)
Hampl 1678 vs Hofman 1667
Hampl
Correct
both rated, 11 points apart — no bar to clear
Form (L5)
Hampl 60% vs Hofman 60%
—
Too close
0pp gap, under the 15pp bar
Form (L10)
Hampl 40% vs Hofman 60%
Hofman
Wrong
20pp gap, over the 15pp bar
Streak
Hampl +2 · Hofman -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.
1 for, 2 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 64% — Clear lean (leans Hofman) · live re-read · sealed at 46% before the first serve
Decision Summary
Why this prediction
- Hampl form (60%) outperforms what odds imply (40%)
Market vs Signals
Market oddsHampl 2.50 / Hofman 1.50
Signal prob.37% / 64%
Edge (Hofman)+1.0pp
Czech Liga Pro · #12392082
Hampl2.50
40%won 4 of 10 · last 10
Won last 2
oldest → newest60%takes the first set · 6 of 10
As underdog48% won 14 of 29
Down 0–1, comes back8% 1 of 12
Down 0–2, comes back0% 0 of 7
Hofman1.50
60%won 6 of 10 · last 10
oldest → newest
50%takes the first set · 5 of 10
As favourite52% won 69 of 132
Up 2–0, closes it92% 24 of 26
Up 1–0, closes it67% 43 of 64
Head to head
H2H window
The recordacross 10 meetings
HomeHampl4wins
AwayHofman6wins
5 of 10 to a deciderHofman leads 6–4, and 5 of those 10 went to a fifth set.
First set to match win · in this matchup
HomeHampl80%4 of 5
AwayHofman100%5 of 5
Set by set, in these 10 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Hampl5Hofman5n = 10split evenly
S2Hampl5Hofman5n = 10split evenly
S3Hampl4Hofman6n = 10Hofman took 6 of 10
S4Hampl6Hofman2n = 8Hampl took 6 of 8
S5Hampl1Hofman4n = 5Hofman took 4 of 5
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, home220%
3–2Decider, home110%
2–3Decider, away440%
1–3Four sets, away110%
0–3Straight, away110%
These 10 meetings
MetricHamplHofmanHampl − HofmanBasisWins46−2in 10 meetingsFirst set550of 10Avg pointsper match41.538.4+3.1per matchSweeps1103–0 or 0–3
Career, not this matchup
MetricHamplHofmanBasisWin rate · lifetime91 / 170 vs 434 / 91553.5%47.4%91 / 170 vs 434 / 915Avg sets wonper match2.12.0per matchAvg pointsper match36.838.1per 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
HofmanHampl 2.50/Hofman 1.50
Read onlywould have missed
What we said
63.5%
Hofman · sealed before the serve
What happened
3–1
Hampl won
Recent Results
H2H · no odds on record10
LAug 9 · 18:30M. Hampl46951111102D. Hofman47111185123
LFeb 13 · 04:01M. Hampl236890D. Hofman331111113
LFeb 13 · 02:30M. Hampl35911961D. Hofman4111811113
WDec 23 · 01:00M. Hampl3811115113D. Hofman30731191
LDec 22 · 22:30M. Hampl56118914142D. Hofman555111112163
WDec 22 · 19:30M. Hampl49119711113D. Hofman4171111572
WNov 24 · 22:30M. Hampl4211119113D. Hofman31291191
WNov 24 · 20:00M. Hampl331111113D. Hofman162770
LJul 25 · 02:00M. Hampl50711117142D. Hofman48119111163
LJul 3 · 24:00M. Hampl4367111182D. Hofman42111172113
M. Hampl10
WAug 10 · 03:30M. Hampl2.1011136123V. Svechota1.6551111101LAug 10 · 02:00R. Urbaniec2.10412118113M. Hampl1.67111071182WAug 10 · 24:30M. Hampl1.831111113M. Huk1.839760WAug 9 · 23:00M. Hampl2.501191011113M. Zahradka1.5061112872WAug 9 · 22:00V. Svechota1.5761151382M. Hampl2.251161111113WAug 9 · 20:00R. Pacha1.83610110M. Hampl1.831112133WAug 9 · 19:00O. Svacha1.8075130M. Hampl1.911111153LAug 9 · 18:30M. Hampl1.73951111102D. Hofman2.00111185123WAug 5 · 02:58M. Pikous2.109730M. Hampl1.671111113LAug 5 · 02:30M. Hampl1.801134111O. Svacha1.9191111133
D. Hofman10
WSep 9 · 21:00M. Klement1.8371111792D. Hofman1.83113211113LSep 9 · 20:00D. Hofman1.67101450J. Tazler2.101216113LSep 9 · 19:30M. Klement1.831111113D. Hofman1.834570LSep 9 · 18:00D. Hofman2.0011118342M. Skakal1.73561111113WSep 5 · 20:59D. Hofman1.671011117113K. Schopf2.1012871192LSep 5 · 20:30R. Pacha1.6711118113D. Hofman2.10551161LSep 5 · 19:30D. Hofman2.101011711102R. Wagner1.67126119123WSep 5 · 18:30K. Schopf1.913390D. Hofman1.801111113WSep 5 · 17:29D. Hofman1.671112112113M. Sychra2.0891471192WAug 9 · 18:30M. Hampl1.73951111102D. Hofman2.00111185123
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