TT Lossbeater/Czech Liga Pro
Czech Liga ProMatch #13040733
Played Aug 30Finished
Daniel Tuma
Home
1.83
At publish
Won last 4Form at publish
8–2Last 10Won last 4
Final
2 – 3
Set by set
51112102111210711
Matej Nohejl
Away
1.83
At publish
Won last 3Form at publish
5–5Last 10Won last 3
The read, and what happenedsealed at 08:59 and never touched — 59.6% is still 59.6%
Graded at full timeMatej Nohejl to win
59.6%
59.6%
Sealed before the first serve and never touched. The record is only checkable because of that.
Read
Rightno pick shipped
«Right» is not «we won». No pick was shipped, so this is a read that turned out correct — not a call that won.
How it is goingDaniel Tuma above · Matej Nohejl below
Set 1 · 5-11
Set 2 · 12-10
Set 3 · 2-11
Set 4 · 12-10
Set 5 · 7-11
Point 91 set 5, 7-11 — our read held Matej Nohejl at 59.6%
91 points played in total.
H2H Daniel Tuma 4–8 Matej Nohejl Daniel Tuma has won 4 of their 12 meetings.
The pickNo pick published
Sealed 08:59What took a side3 for · 1 against · 2 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.83 (50%)
Nohejl
Correct
no bar to clear — a priced side always votes
H2H
4-8 in 12
Nohejl
Correct
gap of 4 in 12, over the gap of 2
Rating (G2)
Tuma 1599 vs Nohejl 1640
Nohejl
Correct
both rated, 42 points apart — no bar to clear
Form (L5)
Tuma 80% vs Nohejl 80%
—
Too close
0pp gap, under the 15pp bar
Form (L10)
Tuma 80% vs Nohejl 50%
Tuma
Wrong
30pp gap, over the 15pp bar
Streak
Tuma +4 · Nohejl +3
—
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, 2 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 54% — Coin-flip (leans Nohejl) · live re-read · sealed at 60% before the first serve
Decision Summary
Why this prediction
- Nohejl form (80%) outperforms what odds imply (55%)
Market vs Signals
Market oddsTuma 1.83 / Nohejl 1.83
Signal prob.46% / 54%
Edge (Nohejl)+4.0pp
Czech Liga Pro · #13040733
Tuma1.83
80%won 8 of 10 · last 10
Won last 4
oldest → newest70%takes the first set · 7 of 10
Nohejl1.83
50%won 5 of 10 · last 10
Won last 3
oldest → newest40%takes the first set · 4 of 10
Head to head
H2H window
The recordacross 10 meetings
HomeTuma4wins
AwayNohejl6wins
4 of 10 to a deciderNohejl leads 6–4, and 4 of those 10 went to a fifth set.
First set to match win · in this matchup
HomeTuma100%4 of 4
AwayNohejl100%6 of 6
Set by set, in these 10 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Tuma4Nohejl6n = 10Nohejl took 6 of 10
S2Tuma4Nohejl6n = 10Nohejl took 6 of 10
S3Tuma2Nohejl8n = 10Nohejl took 8 of 10
S4Tuma3Nohejl4n = 7Nohejl took 4 of 7
S5Tuma3Nohejl1n = 4Tuma took 3 of 4
How those 10 finishedcounts, and the six add up to 10 — a scoreline is a name, not a code
3–0Straight, home00%
3–1Four sets, home110%
3–2Decider, home330%
2–3Decider, away110%
1–3Four sets, away220%
0–3Straight, away330%
These 10 meetings
MetricTumaNohejlT − NBasisWins46−2in 10 meetingsFirst set46−2of 10Avg pointsper match35.542.2−6.7per matchSweeps03−33–0 or 0–3
Career, not this matchup
MetricTumaNohejlBasisWin rate · lifetime769 / 1474 vs 111 / 22852.2%48.7%769 / 1474 vs 111 / 228Avg sets wonper match2.12.0per matchAvg pointsper match38.636.3per 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
NohejlTuma 1.83/Nohejl 1.83
Read onlywould have hit
What we said
54%
Nohejl · sealed before the serve
What happened
2–3
Nohejl won
Recent Results
H2H · no odds on record10
LAug 30 · 14:00D. Tuma—51221272M. Nohejl—11101110113
WAug 26 · 14:30D. Tuma—116129113M. Nohejl—811101172
WMay 29 · 21:30D. Tuma—1112911113M. Nohejl—61411772
WMay 29 · 20:00D. Tuma—11114113M. Nohejl—891191
LDec 3 · 18:30D. Tuma—3111071M. Nohejl—11912113
WDec 3 · 17:00D. Tuma—119137213M. Nohejl—6111111192
LNov 2 · 18:30D. Tuma—5360M. Nohejl—1111113
LNov 2 · 16:00D. Tuma—911391M. Nohejl—11511113
LOct 23 · 20:30D. Tuma—5710M. Nohejl—1111113
LSep 23 · 16:00D. Tuma—81170M. Nohejl—1113113
D. Tuma10
WSep 3 · 21:30D. Tuma1.521111113V. Postelt2.356960WSep 3 · 20:00M. Sedlak1.914611111D. Tuma1.8011117133WSep 3 · 19:00T. Vinter1.9141181182D. Tuma1.80111119113WSep 3 · 18:30D. Tuma1.40111212113V. Postelt2.757101481WSep 3 · 17:30D. Tuma1.73151110113M. Sobisek2.001351271WSep 3 · 16:00D. Tuma1.911111113J. Stolfa1.809770LSep 3 · 15:30M. Sobisek2.00118119133D. Tuma1.73411711112WSep 3 · 14:00D. Tuma2.008111510113J. Hradecky1.73118131252WSep 1 · 21:28D. Tuma1.91128511113K. Kapras1.80101111492WSep 1 · 20:30D. Tuma2.20117117113K. Kapras1.6141161152
M. Nohejl10
WAug 30 · 21:28M. Vizek1.80341171M. Nohejl1.9111118113LAug 30 · 20:00M. Vizek1.73511611113M. Nohejl2.0011811772WAug 30 · 19:00T. Vinter2.758150M. Nohejl1.401111113WAug 30 · 18:30M. Nohejl1.531111113T. Janata2.385450WAug 30 · 17:29M. Nohejl1.4411117113T. Janata2.63631131WAug 30 · 16:30M. Nohejl1.731111113P. Budinsky2.008570WAug 30 · 15:00M. Nohejl1.5711119113T. Janata2.25791151WAug 26 · 17:30M. Nohejl1.7561111113T. Janata1.90118931WAug 26 · 16:30T. Vinter2.2081040M. Nohejl1.611112113WAug 26 · 15:30M. Nohejl1.7361112113T. Janata2.001161091
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