TT Lossbeater/Czech Liga Pro
Czech Liga ProMatch #13077748
Played Sep 5Finished
Karel Schopf
Home
1.91
At publish
Won last 1Form at publish
7–3Last 10Won last 1
Final
0 – 3
Set by set
311311911––––
Denis Hofman
Away
1.80
At publish
Won last 3Form at publish
7–3Last 10Won last 3
The read, and what happenedsealed at 14:18 and never touched — 54.0% is still 54.0%
Graded at full timeKarel Schopf to win
54.0%
54.0%
Sealed before the first serve and never touched. The record is only checkable because of that.
Read
Wrongno pick shipped
How it is goingKarel Schopf above · Denis Hofman below
Set 1 · 3-11
Set 2 · 3-11
Set 3 · 9-11
Point 48 set 3, 9-11 — our read held Karel Schopf at 54.0%
48 points played in total.
H2H Karel Schopf 7–9 Denis Hofman Karel Schopf has won 7 of their 16 meetings.
Last 10 · 5–5Head to head
The pickNo pick published
Sealed 14:18What took a side0 for · 5 against · 1 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.80 (51%)
Hofman
Correct
no bar to clear — a priced side always votes
H2H
7-9 in 16
Hofman
Correct
gap of 2 in 16, over the gap of 2
Rating (G2)
Schopf 1619 vs Hofman 1690
Hofman
Correct
both rated, 71 points apart — no bar to clear
Form (L5)
Schopf 60% vs Hofman 80%
Hofman
Correct
20pp gap, over the 15pp bar
Form (L10)
Schopf 70% vs Hofman 70%
—
Too close
0pp gap, under the 15pp bar
Streak
Schopf +1 · Hofman +3
Hofman
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.
0 for, 1 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 54% — Coin-flip (leans Hofman) · live re-read · sealed at 46% before the first serve
Decision Summary
Why this prediction
- Hofman form (80%) outperforms what odds imply (56%)
Market vs Signals
Market oddsSchopf 1.91 / Hofman 1.80
Signal prob.46% / 54%
Edge (Hofman)+2.5pp
Czech Liga Pro · #13077748
Schopf1.91
70%won 7 of 10 · last 10
oldest → newest
70%takes the first set · 7 of 10
As underdog38% won 23 of 61
Down 0–1, comes back25% 10 of 40
Down 0–2, comes back10% 2 of 20
Hofman1.80
70%won 7 of 10 · last 10
Won last 3
oldest → newest70%takes the first set · 7 of 10
As favourite51% won 80 of 156
Up 2–0, closes it90% 28 of 31
Up 1–0, closes it65% 49 of 76
Head to head
H2H window
The recordacross 10 meetings
HomeSchopf5wins
AwayHofman5wins
7 of 10 to a deciderLevel at 5–5, and 7 of those 10 went to a fifth set.
First set to match win · in this matchup
HomeSchopf66.7%2 of 3
AwayHofman57.1%4 of 7
Set by set, in these 10 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Schopf3Hofman7n = 10Hofman took 7 of 10
S2Schopf5Hofman5n = 10split evenly
S3Schopf4Hofman6n = 10Hofman took 6 of 10
S4Schopf4Hofman5n = 9Hofman took 5 of 9
S5Schopf5Hofman2n = 7Schopf took 5 of 7
How those 10 finishedcounts, and the six add up to 10 — a scoreline is a name, not a code
3–0Straight, home00%
3–1Four sets, home00%
3–2Decider, home550%
2–3Decider, away220%
1–3Four sets, away220%
0–3Straight, away110%
These 10 meetings
MetricSchopfHofmanS − HBasisWins550in 10 meetingsFirst set37−4of 10Avg pointsper match43.344.8−1.5per matchSweeps01−13–0 or 0–3
Career, not this matchup
MetricSchopfHofmanBasisWin rate · lifetime225 / 443 vs 455 / 94650.8%48.1%225 / 443 vs 455 / 946Avg sets wonper match2.02.0per matchAvg pointsper match37.638.3per 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
HofmanSchopf 1.91/Hofman 1.80
Read onlywould have hit
What we said
54%
Hofman · sealed before the serve
What happened
0–3
Hofman won
Recent Results
H2H · no odds on record10
WJul 21 · 22:30K. Schopf—713118113D. Hofman—111191172
LJul 21 · 21:29K. Schopf—7690D. Hofman—1111113
LJul 21 · 18:30K. Schopf—101111992D. Hofman—129411113
WJun 23 · 01:00K. Schopf—1371415113D. Hofman—1111121782
LJun 8 · 17:30K. Schopf—781161D. Hofman—11115113
WJun 8 · 14:00K. Schopf—5131311113D. Hofman—111115682
LMay 11 · 17:30K. Schopf—61181152D. Hofman—118114113
LMay 11 · 14:00K. Schopf—1163121D. Hofman—51111143
WFeb 13 · 01:00K. Schopf—116911113D. Hofman—51111572
WFeb 4 · 01:30K. Schopf—1011211113D. Hofman—12611892
K. Schopf10
LSep 7 · 02:00K. Schopf2.385430J. Tazler1.531111113LSep 7 · 01:00K. Schopf2.7534100V. Vejvoda1.401111123LSep 7 · 24:00J. Louda1.831111113K. Schopf1.838660LSep 6 · 22:30M. Sychra2.251111123K. Schopf1.5798100LSep 6 · 17:00K. Schopf2.206440J. Tazler1.611111113LSep 6 · 16:00R. Rose1.331111113K. Schopf3.258620LSep 6 · 15:00J. Tazler1.57118165113K. Schopf2.25411141142WSep 6 · 14:30K. Schopf2.101111113M. Pikous1.677890LSep 6 · 03:30J. Tazler1.671112123K. Schopf2.10310100LSep 6 · 01:30K. Schopf1.5710690M. Sychra2.251211113
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 · 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. Hofman1.50119881WSep 4 · 15:00M. Pikous2.00611121162D. Hofman1.73115148113
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