TT Lossbeater/Czech Liga Pro
Czech Liga ProMatch #13098127
Played Sep 10Finished
Martin Skakal
Home
1.57
At publish
Won last 1Form at publish
6–4Last 10Won last 1
Final
2 – 3
Set by set
1161167119111012
Michal Regner
Away
2.25
At publish
Lost last 1Form at publish
7–3Last 10Lost last 1
The read, and what happenedsealed at 10:08 and never touched — 63.1% is still 63.1%
Graded at full timeMartin Skakal to win
63.1%
63.1%
Sealed before the first serve and never touched. The record is only checkable because of that.
Read
Wrongnot sent
How it is goingMartin Skakal above · Michal Regner below
Set 1 · 11-6
Set 2 · 11-6
Set 3 · 7-11
Set 4 · 9-11
Set 5 · 10-12
Point 94 set 5, 10-12 — our read held Martin Skakal at 63.1%
94 points played in total.
H2H Martin Skakal 6–3 Michal Regner Michal Regner has won 3 of their 9 meetings.
The pickNothing sent
Sealed 10:08What took a side3 for · 0 against · 3 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.57 (59%)
Skakal
Wrong
no bar to clear — a priced side always votes
H2H
6-3 in 9
Skakal
Wrong
gap of 3 in 9, over the gap of 2
Rating (G2)
Skakal 1696 vs Regner 1691
Skakal
Wrong
both rated, 4 points apart — no bar to clear
Form (L5)
Skakal 60% vs Regner 60%
—
Too close
0pp gap, under the 15pp bar
Form (L10)
Skakal 60% vs Regner 70%
—
Too close
10pp gap, under the 15pp bar
Streak
Skakal +1 · Regner -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, 3 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 60% — Slight lean (leans Skakal) · live re-read · sealed at 63% before the first serve
Decision Summary
Why this prediction
- Regner form (60%) outperforms what odds imply (44%)
Market vs Signals
Market oddsSkakal 1.57 / Regner 2.25
Signal prob.60% / 40%
Edge (Skakal)+1.2pp
Czech Liga Pro · #13098127
Skakal1.57
60%won 6 of 10 · last 10
oldest → newest
30%takes the first set · 3 of 10
As favourite58% won 38 of 66
Up 2–0, closes it95% 19 of 20
Up 1–0, closes it86% 25 of 29
Regner2.25
70%won 7 of 10 · last 10
oldest → newest
40%takes the first set · 4 of 10
As underdog45% won 118 of 263
Down 0–1, comes back23% 30 of 129
Down 0–2, comes back7% 5 of 76
Head to head
H2H window
The recordacross 9 meetings
HomeSkakal6wins
AwayRegner3wins
2 of 9 to a deciderSkakal leads 6–3, and 2 of those 9 went to a fifth set.
First set to match win · in this matchup
HomeSkakal75%3 of 4
AwayRegner40%2 of 5
Set by set, in these 9 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Skakal4Regner5n = 9Regner took 5 of 9
S2Skakal7Regner2n = 9Skakal took 7 of 9
S3Skakal5Regner4n = 9Skakal took 5 of 9
S4Skakal3Regner1n = 4Skakal took 3 of 4
S5
Only 2 matches reached it — below the 3 needed to publish a rate
How those 9 finishedcounts, and the six add up to 9 — a scoreline is a name, not a code
3–0Straight, home333%
3–1Four sets, home222%
3–2Decider, home111%
2–3Decider, away111%
1–3Four sets, away00%
0–3Straight, away222%
These 9 meetings
MetricSkakalRegnerS − RBasisWins63+3in 9 meetingsFirst set45−1of 9Avg pointsper match35.430.7+4.7per matchSweeps32+13–0 or 0–3
Career, not this matchup
MetricSkakalRegnerBasisWin rate · lifetime75 / 146 vs 508 / 105751.4%48.1%75 / 146 vs 508 / 1057Avg sets wonper match2.01.9per matchAvg pointsper match37.736.9per 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
SkakalSkakal 1.57/Regner 2.25
Read onlywould have missed
What we said
60.1%
Skakal · sealed before the serve
What happened
2–3
Regner won
Recent Results
H2H · no odds on record9
LSep 10 · 02:00M. Skakal—111179102M. Regner—661111123
WAug 23 · 22:00M. Skakal—1411611113M. Regner—16911552
LAug 14 · 03:28M. Skakal—61380M. Regner—1115113
WAug 14 · 24:30M. Skakal—101111113M. Regner—129461
WJul 19 · 24:30M. Skakal—1111113M. Regner—6690
LMay 24 · 03:30M. Skakal—2540M. Regner—1111113
WMay 24 · 02:30M. Skakal—1111113M. Regner—4640
WMay 19 · 24:30M. Skakal—1111113M. Regner—7850
WMar 29 · 22:00M. Skakal—51111113M. Regner—114941
M. Skakal10
WSep 10 · 01:00M. Skakal2.0011115113M. Pikous1.73791161LSep 10 · 24:00M. Sychra1.801114113M. Skakal1.9161270WSep 9 · 22:30J. Tazler1.9110812101M. Skakal1.80121110123LSep 9 · 21:30M. Skakal1.72411110J. Tazler2.001113133WSep 9 · 20:30M. Skakal2.1071111113M. Klement1.67115791WSep 9 · 19:00M. Skakal1.731111113J. Tazler2.008590WSep 9 · 18:00D. Hofman2.0011118342M. Skakal1.73561111113LAug 31 · 03:30V. Vejvoda1.6511116113M. Skakal2.10691161LAug 31 · 02:30M. Skakal2.1071260V. Vejvoda1.671114113WAug 31 · 01:30M. Sobisek2.1011881182M. Skakal1.67811117113
M. Regner10
LSep 10 · 24:30M. Regner1.508613101J. Tazler2.50111111123WSep 9 · 23:00M. Regner1.911115113M. Sychra1.8081390LSep 9 · 22:00M. Pikous1.821311113M. Regner1.8811790WSep 8 · 13:29M. Regner2.38991111113K. Schopf1.5311118772WSep 8 · 12:30M. Regner2.20101211113K. Schopf1.611210551WSep 8 · 11:00M. Regner2.63911611153S. Kasnik1.44118115132WSep 8 · 10:00J. Tazler2.007870M. Regner1.731111113WSep 6 · 02:59M. Pikous1.738860M. Regner2.001111113WSep 6 · 02:30M. Sychra1.73511931M. Regner2.0011711113LSep 6 · 01:00J. Tazler2.5011811113M. Regner1.50511551
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