TT Lossbeater/Czech Liga Pro
Czech Liga ProMatch #13098118
Played Sep 9Finished
Denis Hofman
Home
2.00
At publish
Won last 1Form at publish
6–4Last 10Won last 1
Final
2 – 3
Set by set
115116811311411
Martin Skakal
Away
1.73
At publish
Lost last 2Form at publish
5–5Last 10Lost last 2
The read, and what happenedsealed at 09:59 and never touched — 56.4% is still 56.4%
Graded at full timeMartin Skakal to win
56.4%
56.4%
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 goingDenis Hofman above · Martin Skakal below
Set 1 · 11-5
Set 2 · 11-6
Set 3 · 8-11
Set 4 · 3-11
Set 5 · 4-11
Point 81 set 5, 4-11 — our read held Martin Skakal at 56.4%
81 points played in total.
H2H Denis Hofman 2–4 Martin Skakal Denis Hofman has won 2 of their 6 meetings.
The pickNothing sent
Sealed 09:59What took a side2 for · 1 against · 3 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.73 (54%)
Skakal
Correct
no bar to clear — a priced side always votes
H2H
2-4 in 6
Skakal
Correct
gap of 2 in 6, over the gap of 2
Rating (G2)
Hofman 1683 vs Skakal 1678
Hofman
Wrong
both rated, 5 points apart — no bar to clear
Form (L5)
Hofman 60% vs Skakal 60%
—
Too close
0pp gap, under the 15pp bar
Form (L10)
Hofman 60% vs Skakal 50%
—
Too close
10pp gap, under the 15pp bar
Streak
Hofman +1 · Skakal -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.
2 for, 3 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 55% — Coin-flip (leans Skakal) · live re-read · sealed at 56% before the first serve
Decision Summary
Market vs Signals
Market oddsHofman 2.00 / Skakal 1.73
Signal prob.45% / 55%
Edge (Skakal)+1.2pp
Czech Liga Pro · #13098118
Hofman2.00
60%won 6 of 10 · last 10
oldest → newest
50%takes the first set · 5 of 10
As underdog47% won 111 of 236
Down 0–1, comes back27% 35 of 130
Down 0–2, comes back13% 8 of 62
Skakal1.73
50%won 5 of 10 · last 10
Lost last 2
oldest → newest50%takes the first set · 5 of 10
As favourite58% won 38 of 66
Up 2–0, closes it95% 19 of 20
Up 1–0, closes it86% 25 of 29
Head to head
H2H window
The recordacross 6 meetings
HomeHofman2wins
AwaySkakal4wins
1 of 6 to a deciderSkakal leads 4–2, and 1 of those 6 went to a fifth set.
First set to match win · in this matchup
HomeHofmann = 2, below the 3 needed
AwaySkakal100%4 of 4
Set by set, in these 6 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Hofman2Skakal4n = 6Skakal took 4 of 6
S2Hofman3Skakal3n = 6split evenly
S3Hofman3Skakal3n = 6split evenly
S4Hofman2Skakal2n = 4split evenly
S5
Only 1 match 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, away117%
1–3Four sets, away233%
0–3Straight, away117%
These 6 meetings
MetricHofmanSkakalH − SBasisWins24−2in 6 meetingsFirst set24−2of 6Avg pointsper match33.838.7−4.9per matchSweeps1103–0 or 0–3
Career, not this matchup
MetricHofmanSkakalBasisWin rate · lifetime457 / 946 vs 70 / 13848.3%50.7%457 / 946 vs 70 / 138Avg sets wonper match2.02.0per matchAvg pointsper match38.337.7per 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
SkakalHofman 2.00/Skakal 1.73
Read onlywould have hit
What we said
54.9%
Skakal · sealed before the serve
What happened
2–3
Skakal won
Recent Results
H2H · no odds on record6
LAug 27 · 22:30D. Hofman—35100M. Skakal—1111123
WAug 23 · 02:30D. Hofman—111113133M. Skakal—4915111
LAug 18 · 24:30D. Hofman—741251M. Skakal—111110113
LAug 18 · 24:30D. Hofman—741251M. Skakal—111110113
WAug 17 · 20:58D. Hofman—1112113M. Skakal—31090
LAug 17 · 18:00D. Hofman—411131182M. Skakal—116158113
D. Hofman10
WSep 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. Hofman1.65412113113LSep 4 · 16:00J. Stolfa2.5081111113D. Hofman1.50119881
M. Skakal10
LAug 31 · 03:30V. Vejvoda1.6511116113M. Skakal2.10691161LAug 31 · 02:30M. Skakal2.1071260V. Vejvoda1.671114113WAug 31 · 01:30M. Sobisek2.1011881182M. Skakal1.67811117113WAug 31 · 24:00M. Skakal1.731111113M. Chlebecek2.007450WAug 30 · 23:00M. Klement1.57111161082M. Skakal2.25581112113LAug 28 · 03:02M. Skakal1.73119811102R. Wagner2.00511114123LAug 28 · 02:00M. Skakal2.2051160J. Louda1.611113113LAug 28 · 01:00M. Skakal2.1011117832S. Kasnik1.67731111113WAug 28 · 24:00R. Wagner1.6791511832M. Skakal2.101113711113WAug 27 · 22:30D. Hofman1.8035100M. Skakal1.911111123
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