TT Lossbeater/Czech Liga Pro
Czech Liga ProMatch #13021363
Played Aug 28Finished
Richard Wagner
Home
1.67
At publish
Lost last 1Form at publish
6–4Last 10Lost last 1
Final
2 – 3
Set by set
9111513117811311
Martin Skakal
Away
2.10
At publish
Won last 1Form at publish
7–3Last 10Won last 1
The read, and what happenedsealed at 14:57 and never touched — 57.0% is still 57.0%
Graded at full timeRichard Wagner to win
57.0%
57.0%
Sealed before the first serve and never touched. The record is only checkable because of that.
Read
Wrongno pick shipped
How it is goingRichard Wagner above · Martin Skakal below
Set 1 · 9-11
Set 2 · 15-13
Set 3 · 11-7
Set 4 · 8-11
Set 5 · 3-11
Point 99 set 5, 3-11 — our read held Richard Wagner at 57.0%
99 points played in total.
H2H Richard Wagner 4–2 Martin Skakal Martin Skakal has won 2 of their 6 meetings.
The pickNo pick published
Sealed 14:57What took a side4 for · 0 against · 2 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.67 (56%)
Wagner
Wrong
no bar to clear — a priced side always votes
H2H
4-2 in 6
Wagner
Wrong
gap of 2 in 6, over the gap of 2
Rating (G2)
Wagner 1753 vs Skakal 1718
Wagner
Wrong
both rated, 35 points apart — no bar to clear
Form (L5)
Wagner 60% vs Skakal 40%
Wagner
Wrong
20pp gap, over the 15pp bar
Form (L10)
Wagner 60% vs Skakal 70%
—
Too close
10pp gap, under the 15pp bar
Streak
Wagner -1 · Skakal +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.
4 for, 2 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 57% — Slight lean (leans Wagner)
Decision Summary
Market vs Signals
Market oddsWagner 1.67 / Skakal 2.10
Signal prob.57% / 43%
Edge (Wagner)+1.2pp
Czech Liga Pro · #13021363
Wagner1.67
60%won 6 of 10 · last 10
oldest → newest
30%takes the first set · 3 of 10
As favourite57% won 56 of 99
Up 2–0, closes it100% 31 of 31
Up 1–0, closes it79% 44 of 56
Skakal2.10
70%won 7 of 10 · last 10
oldest → newest
80%takes the first set · 8 of 10
As underdog41% won 23 of 56
Down 0–1, comes back32% 10 of 31
Down 0–2, comes back7% 1 of 14
Head to head
H2H window
The recordacross 6 meetings
HomeWagner4wins
AwaySkakal2wins
2 of 6 to a deciderWagner leads 4–2, and 2 of those 6 went to a fifth set.
First set to match win · in this matchup
HomeWagnern = 2, below the 3 needed
AwaySkakal50%2 of 4
Set by set, in these 6 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Wagner2Skakal4n = 6Skakal took 4 of 6
S2Wagner3Skakal3n = 6split evenly
S3Wagner5Skakal1n = 6Wagner took 5 of 6
S4Wagner3Skakal1n = 4Wagner took 3 of 4
S5
Only 2 matches 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, home233%
3–2Decider, home117%
2–3Decider, away117%
1–3Four sets, away00%
0–3Straight, away117%
These 6 meetings
MetricWagnerSkakalW − SBasisWins42+2in 6 meetingsFirst set24−2of 6Avg pointsper match39.039.00.0per matchSweeps1103–0 or 0–3
Career, not this matchup
MetricWagnerSkakalBasisWin rate · lifetime85 / 163 vs 67 / 13052.2%51.5%85 / 163 vs 67 / 130Avg sets wonper match2.02.0per matchAvg pointsper match36.337.7per 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
WagnerWagner 1.67/Skakal 2.10
Read onlywould have missed
What we said
57%
Wagner · sealed before the serve
What happened
2–3
Skakal won
Recent Results
H2H · no odds on record6
LAug 28 · 24:00R. Wagner—91511832M. Skakal—1113711113
LAug 23 · 21:28R. Wagner—13560M. Skakal—1511113
WAug 23 · 03:00R. Wagner—11911113M. Skakal—911831
WAug 22 · 23:30R. Wagner—471111113M. Skakal—11118982
WJul 18 · 21:00R. Wagner—81411123M. Skakal—11128101
WJul 18 · 18:30R. Wagner—1111113M. Skakal—7990
R. Wagner10
WSep 5 · 21:28R. Wagner1.611111113R. Pacha2.206780WSep 5 · 20:00R. Wagner1.5051116123K. Schopf2.5011714101WSep 5 · 19:30D. Hofman2.101011711102R. Wagner1.67126119123WSep 5 · 18:00R. Wagner1.61111111113R. Pacha2.20613691LSep 5 · 16:59R. Wagner1.775560M. Pikous1.931111113LSep 5 · 16:00M. Sychra1.7311911113R. Wagner2.00911791LSep 5 · 15:00M. Pikous2.20101111123R. Wagner1.611288101WSep 5 · 14:30R. Wagner1.7313911113D. Hofman2.001111781WSep 4 · 13:00R. Wagner1.671191111113P. Saleny2.1013115452LSep 4 · 12:00V. Vejvoda2.50111013113R. Wagner1.508121151
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 27 · 22:30D. Hofman1.8035100M. Skakal1.911111123LAug 24 · 03:00M. Skakal4.3311731192V. Cermak1.19811116113
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