TT Lossbeater/Czech Liga Pro
Petr Zmuda vs Matej Volf 3-2 · Czech Liga Pro
Czech Liga Pro
Played Sep 22Finished
Petr Zmuda
Home
2.25
At publish
Lost last 1Form at publish
5–5Last 10Lost last 1
Final
3 – 2
Set by set
118411811118117
Matej Volf
Away
1.57
At publish
Won last 3Form at publish
7–3Last 10Won last 3
The read, and what happenedsealed at 13:49 and never touched — 60.1% is still 60.1%
Graded at full timeMatej Volf to win
60.1%
60.1%
Sealed before the first serve and never touched. The record is only checkable because of that.
Read
Wrongnot sent
How it is goingPetr Zmuda above · Matej Volf below
Set 1 · 11-8
Set 2 · 4-11
Set 3 · 8-11
Set 4 · 11-8
Set 5 · 11-7
Point 90 set 5, 11-7 — our read held Matej Volf at 60.1%
90 points played in total.
H2H Petr Zmuda 2–4 Matej Volf Petr Zmuda has won 2 of their 6 meetings.
The pickNothing sent
Sealed 13:49What took a side5 for · 1 against · 0 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.57 (59%)
Volf
Wrong
no bar to clear — a priced side always votes
H2H
2-4 in 6
Volf
Wrong
gap of 2 in 6, over the gap of 2
Rating (G2)
Zmuda 1612 vs Volf 1580
Zmuda
Correct
both rated, 32 points apart — no bar to clear
Form (L5)
Zmuda 40% vs Volf 80%
Volf
Wrong
40pp gap, over the 15pp bar
Form (L10)
Zmuda 50% vs Volf 70%
Volf
Wrong
20pp gap, over the 15pp bar
Streak
Zmuda -1 · Volf +3
Volf
Wrong
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.
5 for, 0 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 60% — Slight lean (leans Volf)
Decision Summary
Why this prediction
- Volf form (80%) outperforms what odds imply (64%)
Market vs Signals
Market oddsZmuda 2.25 / Volf 1.57
Signal prob.40% / 60%
Edge (Volf)+1.2pp
Czech Liga Pro · #13169985
Zmuda2.25
50%won 5 of 10 · last 10
Last match: today
oldest → newest
40%takes the first set · 4 of 10
As underdog39% won 19 of 49
Down 0–1, comes back21% 6 of 29
Down 0–2, comes back0% 0 of 17
Volf1.57
70%won 7 of 10 · last 10
Last match: today
Won last 3
oldest → newest70%takes the first set · 7 of 10
As favourite57% won 35 of 62
Up 2–0, closes it100% 21 of 21
Up 1–0, closes it78% 28 of 36
Head to head
H2H window
The recordacross 6 meetings
HomeZmuda2wins
AwayVolf4wins
1 of 6 to a deciderVolf leads 4–2, and 1 of those 6 went to a fifth set.
First set to match win · in this matchup
HomeZmudan = 1, below the 3 needed
AwayVolf80%4 of 5
Set by set, in these 6 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Zmuda1Volf5n = 6Volf took 5 of 6
S2Zmuda1Volf5n = 6Volf took 5 of 6
S3Zmuda3Volf3n = 6split evenly
S4Zmuda2Volf2n = 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, home00%
3–1Four sets, home117%
3–2Decider, home117%
2–3Decider, away00%
1–3Four sets, away233%
0–3Straight, away233%
These 6 meetings
MetricZmudaVolfZ − VBasisWins24−2in 6 meetingsFirst set15−4of 6Avg pointsper match32.837.8−5.0per matchSweeps02−23–0 or 0–3
Career, not this matchup
MetricZmudaVolfBasisWin rate · lifetime127 / 247 vs 211 / 40851.4%51.7%127 / 247 vs 211 / 408Avg sets wonper match2.12.1per matchAvg pointsper match38.537.7per 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
VolfZmuda 2.25/Volf 1.57
Read onlywould have missed
What we said
60.1%
Volf · sealed before the serve
What happened
3–2
Zmuda won
Recent Results
H2H · no odds on record6
WSep 22 · 16:30P. Zmuda45114811113M. Volf4581111872
LSep 17 · 09:28P. Zmuda391181191M. Volf3913114113
WSep 17 · 08:30P. Zmuda44101112113M. Volf351261071
LAug 10 · 23:00P. Zmuda1934120M. Volf361111143
LOct 31 · 07:30P. Zmuda217860M. Volf331111113
LAug 10 · 15:30P. Zmuda29861141M. Volf3911116113
P. Zmuda10
WSep 22 · 17:00P. Zmuda1.571111113M. Vedmoch2.258640WSep 22 · 15:00P. Zmuda1.731211113M. Vedmoch2.0010890LSep 22 · 14:00T. Holik1.7311813113P. Zmuda2.008111141WSep 22 · 03:30D. Tuma1.758811111P. Zmuda1.9511118133LSep 22 · 02:00R. Krejci2.001111144113P. Zmuda1.7399161192LSep 22 · 24:30P. Zmuda1.80711881D. Tuma1.9111711113WSep 21 · 23:00P. Zmuda1.61111110113A. Hlawatschke2.20161261WSep 21 · 22:00M. Vedmoch1.7311101191P. Zmuda2.0081213113LSep 21 · 03:30P. Zmuda1.871181891R. Krejci1.8341120113LSep 21 · 02:30R. Krejci2.251116510113P. Zmuda1.57614111242
M. Volf10
WSep 22 · 17:30M. Volf1.801111113T. Holik1.908880WSep 22 · 15:30M. Volf1.9111116113T. Holik1.80851141WSep 22 · 14:30M. Vedmoch2.005770M. Volf1.731111113WSep 17 · 09:28P. Zmuda2.001181191M. Volf1.7313114113LSep 17 · 08:30M. Volf1.671261071P. Zmuda2.10101112113WSep 17 · 07:00M. Volf2.1071111113J. Stolfa1.67118771WSep 17 · 06:00D. Tuma1.83761551M. Volf1.83111113113LSep 15 · 03:05M. Volf1.61714891A. Hlawatschke2.20111211113WSep 15 · 02:00A. Hlawatschke2.2012137101M. Volf1.61141111123LSep 15 · 24:30M. Volf2.00811119102D. Tuma1.73117611123
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