TT Lossbeater/Czech Liga Pro
Tomas Franek vs Robin Pacha 2-3 · Czech Liga Pro
Czech Liga ProA14 · Liberec
Played Oct 10Finished
Form at publish
6–4Last 10Won last 3
Final
2 – 3
Set by set
9119111191311511
Form at publish
6–4Last 10Won last 2
The read, and what happenedsealed at 19:17 and never touched: 60.8% is still 60.8%
Graded at full timeTomas Franek to win
60.8%
60.8%
Sealed before the first serve and never touched. The record is only checkable because of that.
Read
Wrongnot sent
How it is goingTomas Franek above · Robin Pacha below
Set 1 · 9-11
Set 2 · 9-11
Set 3 · 11-9
Set 4 · 13-11
Set 5 · 5-11
Point 100 set 5, 5-11 · our read held Tomas Franek at 60.8%
100 points played in total.
H2H Tomas Franek 1–0 Robin Pacha Robin Pacha has won 0 of their 1 meetings.
The pickNothing sent
Sealed 19:1760.8%Our read65.2%to break even at 1.533
short by 4.4pp65.2% (what it has to beat, and what the price implies: at 1.533 they are the same number)
What took a side4 for · 0 against · 2 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.53 (61%)
Franek
Wrong
no bar to clear: a priced side always votes
H2H
1-0 in 1
—
Too close
1 played, under the floor of 3
Rating (G2)
Franek 1679 vs Pacha 1672
Franek
Wrong
both rated, 7 points apart, no bar to clear
Form (L5)
Franek 80% vs Pacha 60%
Franek
Wrong
20pp gap, over the 15pp bar
Form (L10)
Franek 60% vs Pacha 60%
—
Too close
0pp gap, under the 15pp bar
Streak
Franek +3 · Pacha +2
Franek
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.
4 for, 2 silent, and still no pick. The gate cuts it all the same.
Signal confidence: 61% · Slight lean (leans Franek) · sealed before the serve
Decision Summary
Why this prediction
- Pacha form (60%) outperforms what odds imply (42%)
Market vs Signals
Market oddsFranek 1.533 / Pacha 2.375
Signal prob.61% / 39%
Edge (Franek)-4.4pp (anti-value)
Czech Liga Pro · #13275125
Franek1.53
60%won 6 of 10 · last 10
Last match: today
Won last 3
oldest → newest60%takes the first set · 6 of 10
As favourite44% won 16 of 36
Up 2–0, closes it100% 6 of 6
Up 1–0, closes it60% 9 of 15
Pacha2.38
60%won 6 of 10 · last 10
Last match: today
Won last 2
oldest → newest50%takes the first set · 5 of 10
As underdog38% won 9 of 24
Down 0–1, comes back18% 3 of 17
Down 0–2, comes back9% 1 of 11
Head to head
H2H window
The recordacross 1 meeting
HomeFranek1wins
AwayPacha0wins
Franek leads 1–0.
First set to match win · in this matchup
Not enough first sets
Neither side has won the first set three times here, so there is no rate to publish.
Set by set, in this 1 meetingevery set carries its own n: a fifth set only exists when the match reaches one
S1
Only 1 match reached it, below the 3 needed to publish a rate
S2
Only 1 match reached it, below the 3 needed to publish a rate
S3
Only 1 match reached it, below the 3 needed to publish a rate
How that 1 finishedn = 1, below the 3 needed
3–0Straight, home1
3–1Four sets, home0
3–2Decider, home0
2–3Decider, away0
1–3Four sets, away0
0–3Straight, away0
This 1 meeting
MetricFranekPachaF − PBasisWins10+1in 1 meetingFirst set10+1of 1Avg pointsper match34.017.0+17.0per matchSweeps10+13–0 or 0–3
Career, not this matchup
MetricFranekPachaBasisWin rate · lifetime100 / 201 vs 173 / 30349.8%57.1%100 / 201 vs 173 / 303Avg sets wonper match2.02.1per matchAvg pointsper match37.438.3per 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
FranekFranek 1.53/Pacha 2.38
Read onlywould have missed
What we said
60.8%
Franek · sealed before the serve
What happened
2–3
Pacha won
Recent Results
H2H · no odds on record1
WOct 26 · 00:00T. Franek341211113R. Pacha1710610
T. Franek10
WOct 10 · 18:30M. Sopko2.2051070T. Franek1.611112113WOct 7 · 02:58T. Franek1.7311113113M. Skakal2.00531161WOct 7 · 02:30M. Hampl1.911198101T. Franek1.8091111123LOct 7 · 01:00M. Wagner1.851181112113T. Franek1.7531161472WOct 6 · 23:30T. Franek1.731111115113M. Skakal2.0098131192LOct 6 · 22:00T. Franek2.10118991O. Svacha1.6751111113LOct 5 · 02:58O. Svacha1.911111123T. Franek1.8072100WOct 5 · 01:30T. Franek1.67119612113M. Skakal2.10811111092WOct 5 · 00:30R. Wagner1.6791171172T. Franek2.10116116113LOct 4 · 23:30O. Svacha1.911113113T. Franek1.8051150
R. Pacha10
LOct 10 · 20:00R. Pacha1.67115981M. Sopko2.1091111113WOct 10 · 18:00R. Pacha1.44414711113M. Klement2.63111211882WOct 4 · 21:03R. Pacha2.30511411113M. Klement1.5511811392LOct 4 · 20:00R. Pacha1.6111681152D. Hofman2.20611115113LOct 4 · 19:30J. Zuzanek2.501111107113R. Pacha1.5069121182WOct 4 · 18:00R. Pacha1.4411116113M. Klement2.63381131WSep 27 · 20:59R. Pacha1.671411113M. Sychra2.1012760WSep 27 · 20:30R. Pacha1.7311117113M. Sychra2.00461141LSep 27 · 19:00R. Pacha1.676480V. Vejvoda2.101111113WSep 27 · 18:00M. Pikous2.10113251R. Pacha1.6771111113
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