TT Lossbeater/Czech Liga Pro
Czech Liga ProMatch #12460587
Played Aug 20Finished
Matej Levicky
Home
3.25
At publish
Won last 1Form at publish
2–8Last 10Won last 1
Final
3 – 2
Set by set
611111313111181311
Petr Banot
Away
1.33
At publish
Lost last 1Form at publish
7–3Last 10Lost last 1
The read, and what happenedsealed at 14:32 and never touched — 74.9% is still 74.9%
Graded at full timePetr Banot to win
74.9%
74.9%
Sealed before the first serve and never touched. The record is only checkable because of that.
Read
Wrongno pick shipped
How it is goingMatej Levicky above · Petr Banot below
Set 1 · 6-11
Set 2 · 11-13
Set 3 · 13-11
Set 4 · 11-8
Set 5 · 13-11
Point 108 set 5, 13-11 — our read held Petr Banot at 74.9%
108 points played in total.
H2H Matej Levicky 2–7 Petr Banot Matej Levicky has won 2 of their 9 meetings.
The pickNo pick published
Sealed 14:32What took a side5 for · 0 against · 1 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.33 (71%)
Banot
Wrong
no bar to clear — a priced side always votes
H2H
2-7 in 9
Banot
Wrong
gap of 5 in 9, over the gap of 2
Rating (G2)
Levicky 1284 vs Banot 1356
Banot
Wrong
both rated, 72 points apart — no bar to clear
Form (L5)
Levicky 40% vs Banot 60%
Banot
Wrong
20pp gap, over the 15pp bar
Form (L10)
Levicky 20% vs Banot 70%
Banot
Wrong
50pp gap, over the 15pp bar
Streak
Levicky +1 · Banot -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.
5 for, 1 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 82% — Strong (leans Banot) · live re-read · sealed at 75% before the first serve
Decision Summary
Why this prediction
- Banot form (60%) is below what odds imply (75%)
Market vs Signals
Market oddsLevicky 3.25 / Banot 1.33
Signal prob.18% / 82%
Edge (Banot)+11.0pp
Czech Liga Pro · #12460587
Levicky3.25
20%won 2 of 10 · last 10
oldest → newest
30%takes the first set · 3 of 10
As underdog35% won 41 of 116
Down 0–1, comes back22% 16 of 73
Down 0–2, comes back8% 3 of 39
Banot1.33
70%won 7 of 10 · last 10
oldest → newest
60%takes the first set · 6 of 10
As favourite65% won 32 of 49
Up 2–0, closes it100% 20 of 20
Up 1–0, closes it83% 30 of 36
Head to head
H2H window
The recordacross 9 meetings
HomeLevicky2wins
AwayBanot7wins
3 of 9 to a deciderBanot leads 7–2, and 3 of those 9 went to a fifth set.
First set to match win · in this matchup
HomeLevickyn = 1, below the 3 needed
AwayBanot87.5%7 of 8
Set by set, in these 9 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Levicky1Banot8n = 9Banot took 8 of 9
S2Levicky4Banot5n = 9Banot took 5 of 9
S3Levicky4Banot5n = 9Banot took 5 of 9
S4Levicky1Banot6n = 7Banot took 6 of 7
S5Levicky2Banot1n = 3Levicky took 2 of 3
How those 9 finishedcounts, and the six add up to 9 — a scoreline is a name, not a code
3–0Straight, home00%
3–1Four sets, home00%
3–2Decider, home222%
2–3Decider, away111%
1–3Four sets, away444%
0–3Straight, away222%
These 9 meetings
MetricLevickyBanotL − BBasisWins27−5in 9 meetingsFirst set18−7of 9Avg pointsper match33.041.4−8.4per matchSweeps02−23–0 or 0–3
Career, not this matchup
MetricLevickyBanotBasisWin rate · lifetime195 / 368 vs 52 / 10653%49.1%195 / 368 vs 52 / 106Avg sets wonper match2.02.0per matchAvg pointsper match37.337.6per 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
BanotLevicky 3.25/Banot 1.33
Read onlywould have missed
What we said
81.9%
Banot · sealed before the serve
What happened
3–2
Levicky won
Recent Results
H2H · no odds on record9
LAug 18 · 08:58M. Levicky—6410P. Banot—1111113
LAug 18 · 07:30M. Levicky—811681P. Banot—11711113
WMay 9 · 13:00M. Levicky—611118113P. Banot—11541162
LMay 9 · 10:30M. Levicky—611661P. Banot—11711113
WApr 17 · 07:00M. Levicky—126116153P. Banot—1011811132
LMar 8 · 16:00M. Levicky—9170P. Banot—1111113
LMar 7 · 12:00M. Levicky—41111101P. Banot—11138123
LFeb 27 · 10:05M. Levicky—51271142P. Banot—1110117113
LFeb 27 · 07:30M. Levicky—991251P. Banot—111110113
M. Levicky10
WSep 7 · 07:00V. Kocian1.7311491172M. Levicky2.00811119113LSep 7 · 06:30M. Levicky1.837111081M. Kaspar1.8311712113LSep 6 · 09:00A. Schneeberger1.4411111010113M. Levicky2.6346121292LSep 6 · 08:30D. Tyn1.531111113M. Levicky2.388890LSep 6 · 07:30M. Levicky2.5071490D. Priesol1.501116113LSep 6 · 06:30A. Schneeberger1.731111113M. Levicky2.005790LAug 30 · 12:59M. Levicky1.5716137992M. Kaspar2.2514111111113WAug 30 · 12:00M. Levicky1.831111113M. Kaspar1.837860LAug 30 · 11:30V. Kocian2.25511119113M. Levicky1.5711541152LAug 30 · 10:00M. Levicky2.10441141D. Tyn1.6711118113
P. Banot10
LAug 20 · 21:00P. Banot1.8011913892D. Tyn1.918111111113LAug 20 · 19:30P. Banot2.63811561Z. Zientek1.4411711113WAug 20 · 18:30D. Tyn2.0081111392P. Banot1.73118911113WAug 18 · 08:58M. Levicky2.636410P. Banot1.441111113LAug 18 · 08:30Z. Zientek1.501111113P. Banot2.504690WAug 18 · 07:30P. Banot1.4411711113M. Levicky2.63811681LAug 18 · 06:30M. Kaspar1.7311811123P. Banot2.007116101WAug 16 · 09:29P. Banot1.5011119113M. Blaha2.50631161WAug 16 · 08:00P. Banot1.6191111113M. Blaha2.20116701WAug 16 · 07:30D. Vavrecka4.334950P. Banot1.201111113
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