TT Lossbeater/Czech Liga Pro
Czech Liga ProMatch #13099200
Played Sep 9Finished
Milan Klement
Home
1.83
At publish
Lost last 3Form at publish
7–3Last 10Lost last 3
Final
3 – 0
Set by set
114115117––––
Denis Hofman
Away
1.83
At publish
Lost last 1Form at publish
6–4Last 10Lost last 1
The read, and what happenedsealed at 13:55 and never touched — 54.0% is still 54.0%
Graded at full timeDenis Hofman to win
54.0%
54.0%
Sealed before the first serve and never touched. The record is only checkable because of that.
Read
Wrongnot sent
How it is goingMilan Klement above · Denis Hofman below
Set 1 · 11-4
Set 2 · 11-5
Set 3 · 11-7
Point 49 set 3, 11-7 — our read held Denis Hofman at 54.0%
49 points played in total.
H2H Milan Klement 31–38 Denis Hofman Milan Klement has won 31 of their 69 meetings.
Last 10 · 5–5Head to head
The pickNothing sent
Sealed 13:55What took a side3 for · 1 against · 2 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.83 (50%)
Hofman
Wrong
no bar to clear — a priced side always votes
H2H
31-38 in 69
Hofman
Wrong
gap of 7 in 69, over the gap of 2
Rating (G2)
Klement 1626 vs Hofman 1673
Hofman
Wrong
both rated, 46 points apart — no bar to clear
Form (L5)
Klement 40% vs Hofman 40%
—
Too close
0pp gap, under the 15pp bar
Form (L10)
Klement 70% vs Hofman 60%
—
Too close
10pp gap, under the 15pp bar
Streak
Klement -3 · Hofman -1
Klement
Correct
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.
3 for, 2 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 54% — Coin-flip (leans Hofman)
Decision Summary
Why this prediction
- Hofman form (40%) is below what odds imply (55%)
Market vs Signals
Market oddsKlement 1.83 / Hofman 1.83
Signal prob.46% / 54%
Edge (Hofman)+4.0pp
Czech Liga Pro · #13099200
Klement1.83
70%won 7 of 10 · last 10
Lost last 3
oldest → newest60%takes the first set · 6 of 10
Hofman1.83
60%won 6 of 10 · last 10
oldest → newest
50%takes the first set · 5 of 10
Head to head
H2H window
The recordacross 10 meetings
HomeKlement5wins
AwayHofman5wins
5 of 10 to a deciderLevel at 5–5, and 5 of those 10 went to a fifth set.
First set to match win · in this matchup
HomeKlement62.5%5 of 8
AwayHofmann = 2, below the 3 needed
Set by set, in these 10 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Klement8Hofman2n = 10Klement took 8 of 10
S2Klement6Hofman4n = 10Klement took 6 of 10
S3Klement5Hofman5n = 10split evenly
S4Klement2Hofman6n = 8Hofman took 6 of 8
S5Klement2Hofman3n = 5Hofman took 3 of 5
How those 10 finishedcounts, and the six add up to 10 — a scoreline is a name, not a code
3–0Straight, home220%
3–1Four sets, home110%
3–2Decider, home220%
2–3Decider, away330%
1–3Four sets, away220%
0–3Straight, away00%
These 10 meetings
MetricKlementHofmanK − HBasisWins550in 10 meetingsFirst set82+6of 10Avg pointsper match42.338.3+4.0per matchSweeps20+23–0 or 0–3
Career, not this matchup
MetricKlementHofmanBasisWin rate · lifetime454 / 881 vs 453 / 92751.5%48.9%454 / 881 vs 453 / 927Avg sets wonper match2.12.0per matchAvg pointsper match39.238.3per 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
HofmanKlement 1.83/Hofman 1.83
Read onlywould have missed
What we said
54%
Hofman · sealed before the serve
What happened
3–0
Klement won
Recent Results
H2H · no odds on record10
LAug 27 · 20:00M. Klement—13118101D. Hofman—15511123
WAug 26 · 08:59M. Klement—1111193D. Hofman—79170
WAug 26 · 08:00M. Klement—11119113D. Hofman—781151
WAug 21 · 17:30M. Klement—1111113D. Hofman—7460
WAug 21 · 15:00M. Klement—119117103D. Hofman—31171162
LAug 19 · 06:00M. Klement—11812862D. Hofman—5111011113
LAug 7 · 08:58M. Klement—71111792D. Hofman—116311113
WAug 7 · 08:00M. Klement—119912113D. Hofman—511111072
LJun 17 · 23:00M. Klement—11119572D. Hofman—791111113
LJun 12 · 18:00M. Klement—118941D. Hofman—51111113
M. Klement10
LSep 9 · 18:30J. Tazler2.38155911113M. Klement1.53131111792LSep 8 · 09:28S. Kasnik2.2581111113M. Klement1.57116581LSep 8 · 08:00M. Klement1.6131110111S. Kasnik2.2011912133WSep 8 · 07:30K. Schopf2.635580M. Klement1.441111113WSep 8 · 06:00M. Klement2.251111144113M. Sychra1.5744161172WSep 6 · 09:30M. Klement1.651111128113V. Vejvoda2.10138101162WSep 6 · 08:30P. Saleny2.00125781M. Klement1.73101111113WSep 6 · 07:30M. Klement1.6111811113V. Vejvoda2.20511591WSep 6 · 06:30M. Wagner1.5375111192M. Klement2.38111189113WSep 4 · 02:58T. Franek1.676850M. Klement2.101111113
D. Hofman10
LSep 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. Sychra2.0891471192WSep 5 · 16:30M. Pikous2.0081270D. Hofman1.731114113WSep 5 · 15:30D. Hofman2.0011117113M. Sychra1.73641141LSep 5 · 14:30R. Wagner1.7313911113D. Hofman2.001111781WSep 4 · 17:33M. Pikous2.05111081182D. Hofman1.65412113113
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