TT Lossbeater/Czech Liga Pro
Czech Liga ProMatch #13098131
Played Sep 9Finished
Denis Hofman
Home
1.67
At publish
Lost last 2Form at publish
5–5Last 10Lost last 2
Final
0 – 3
Set by set
10121416511––––
Jakub Tazler
Away
2.10
At publish
Lost last 1Form at publish
3–7Last 10Lost last 1
The read, and what happenedsealed at 10:10 and never touched — 54.7% is still 54.7%
Graded at full timeDenis Hofman to win
54.7%
54.7%
Sealed before the first serve and never touched. The record is only checkable because of that.
Read
Wrongnot sent
How it is goingDenis Hofman above · Jakub Tazler below
Set 1 · 10-12
Set 2 · 14-16
Set 3 · 5-11
Point 68 set 3, 5-11 — our read held Denis Hofman at 54.7%
68 points played in total.
H2H Denis Hofman 7–9 Jakub Tazler Denis Hofman has won 7 of their 16 meetings.
Last 10 · 5–5Head to head
The pickNothing sent
Sealed 10:10What took a side3 for · 2 against · 1 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.67 (56%)
Hofman
Wrong
no bar to clear — a priced side always votes
H2H
7-9 in 16
Tazler
Correct
gap of 2 in 16, over the gap of 2
Rating (G2)
Hofman 1657 vs Tazler 1640
Hofman
Wrong
both rated, 17 points apart — no bar to clear
Form (L5)
Hofman 20% vs Tazler 40%
Tazler
Correct
20pp gap, over the 15pp bar
Form (L10)
Hofman 50% vs Tazler 30%
Hofman
Wrong
20pp gap, over the 15pp bar
Streak
Hofman -2 · Tazler -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.
3 for, 1 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 55% — Slight lean (leans Hofman) · live re-read · sealed at 55% before the first serve
Decision Summary
Why this prediction
- Hofman form (20%) is below what odds imply (60%)
Market vs Signals
Market oddsHofman 1.67 / Tazler 2.10
Signal prob.55% / 45%
Edge (Hofman)-0.4pp
Czech Liga Pro · #13098131
Hofman1.67
50%won 5 of 10 · last 10
Lost last 2
oldest → newest50%takes the first set · 5 of 10
As favourite52% won 83 of 159
Up 2–0, closes it91% 30 of 33
Up 1–0, closes it65% 51 of 78
Tazler2.10
30%won 3 of 10 · last 10
oldest → newest
30%takes the first set · 3 of 10
As underdog46% won 96 of 208
Down 0–1, comes back27% 31 of 114
Down 0–2, comes back15% 10 of 65
Head to head
H2H window
The recordacross 10 meetings
HomeHofman5wins
AwayTazler5wins
1 of 10 to a deciderLevel at 5–5, and 1 of those 10 went to a fifth set.
First set to match win · in this matchup
HomeHofman80%4 of 5
AwayTazler80%4 of 5
Set by set, in these 10 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Hofman5Tazler5n = 10split evenly
S2Hofman6Tazler4n = 10Hofman took 6 of 10
S3Hofman5Tazler5n = 10split evenly
S4Hofman3Tazler3n = 6split evenly
S5
Only 1 match reached it — below the 3 needed to publish a rate
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, home330%
3–2Decider, home00%
2–3Decider, away110%
1–3Four sets, away220%
0–3Straight, away220%
These 10 meetings
MetricHofmanTazlerH − TBasisWins550in 10 meetingsFirst set550of 10Avg pointsper match37.336.7+0.6per matchSweeps2203–0 or 0–3
Career, not this matchup
MetricHofmanTazlerBasisWin rate · lifetime453 / 928 vs 392 / 71448.8%54.9%453 / 928 vs 392 / 714Avg sets wonper match2.02.1per matchAvg pointsper match38.338.4per 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
HofmanHofman 1.67/Tazler 2.10
Read onlywould have missed
What we said
55.4%
Hofman · sealed before the serve
What happened
0–3
Tazler won
Recent Results
H2H · no odds on record10
WAug 19 · 12:30D. Hofman—1112113J. Tazler—91090
WAug 16 · 22:30D. Hofman—1111113J. Tazler—8790
WAug 16 · 18:00D. Hofman—41111113J. Tazler—116541
LAug 12 · 14:30D. Hofman—9177111J. Tazler—111511133
LAug 12 · 11:00D. Hofman—14118892J. Tazler—1281111113
LAug 11 · 16:30D. Hofman—15980J. Tazler—1711113
WAug 11 · 11:30D. Hofman—11911133J. Tazler—9118111
WJul 30 · 15:00D. Hofman—11811113J. Tazler—611981
LJul 24 · 21:30D. Hofman—811471J. Tazler—11511113
LJul 24 · 20:30D. Hofman—91270J. Tazler—1114113
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
J. Tazler10
LSep 9 · 19:00M. Skakal1.731111113J. Tazler2.008590WSep 9 · 18:30J. Tazler2.38155911113M. Klement1.53131111792LSep 8 · 12:58J. Tazler2.1096100S. Kasnik1.671111123WSep 8 · 12:00J. Tazler2.001111113S. Kasnik1.737590LSep 8 · 11:30K. Schopf2.631161111113J. Tazler1.4461113562LSep 8 · 10:00J. Tazler2.007870M. Regner1.731111113LSep 7 · 02:58V. Vejvoda1.67118118123J. Tazler2.10911511102WSep 7 · 02:00K. Schopf2.385430J. Tazler1.531111113LSep 7 · 24:30J. Tazler2.001111991M. Sychra1.7313511113LSep 6 · 23:00J. Tazler2.38811111482J. Louda1.531191312113
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