TT Lossbeater/Setka Cup
Setka Cup
Played Sep 20Finished
Karel Farsky
Home
1.53
At publish
Won last 1Form at publish
5–5Last 10Won last 1
Final
3 – 0
Set by set
119115119––––
Ladislav Tuma
Away
2.38
At publish
Lost last 1Form at publish
7–3Last 10Lost last 1
The read, and what happenedsealed at 23:17 and never touched — 56.8% is still 56.8%
Graded at full timeKarel Farsky to win
56.8%
56.8%
Sealed before the first serve and never touched. The record is only checkable because of that.
Read
Rightnot sent
«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 goingKarel Farsky above · Ladislav Tuma below
Set 1 · 11-9
Set 2 · 11-5
Set 3 · 11-9
Point 56 set 3, 11-9 — our read held Karel Farsky at 56.8%
56 points played in total.
H2H Karel Farsky 16–10 Ladislav Tuma Ladislav Tuma has won 10 of their 26 meetings.
Last 10 · 5–5Head to head
The pickNothing sent
Sealed 23:17What took a side3 for · 2 against · 1 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.53 (61%)
Farsky
Correct
no bar to clear — a priced side always votes
H2H
16-10 in 26
Farsky
Correct
gap of 6 in 26, over the gap of 2
Rating (G2)
Farsky 1419 vs Tuma 1496
Tuma
Wrong
both rated, 77 points apart — no bar to clear
Form (L5)
Farsky 80% vs Tuma 60%
Farsky
Correct
20pp gap, over the 15pp bar
Form (L10)
Farsky 50% vs Tuma 70%
Tuma
Wrong
20pp gap, over the 15pp bar
Streak
Farsky +1 · Tuma -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, 1 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 57% — Slight lean (leans Farsky)
Decision Summary
Why this prediction
- Tuma form (60%) outperforms what odds imply (42%)
Market vs Signals
Market oddsFarsky 1.53 / Tuma 2.38
Signal prob.57% / 43%
Edge (Farsky)-4.0pp (anti-value)
Setka Cup · #13162109
Farsky1.53
50%won 5 of 10 · last 10
Last match: 8 days ago (Sep 12) · back after a break
oldest → newest
80%takes the first set · 8 of 10
As favourite53% won 50 of 95
Up 2–0, closes it90% 26 of 29
Up 1–0, closes it67% 35 of 52
Tuma2.38
70%won 7 of 10 · last 10
Last match: 5 days ago (Sep 15)
oldest → newest
50%takes the first set · 5 of 10
As underdog41% won 35 of 85
Down 0–1, comes back21% 9 of 44
Down 0–2, comes back4% 1 of 24
Head to head
H2H window
The recordacross 10 meetings
HomeFarsky5wins
AwayTuma5wins
3 of 10 to a deciderLevel at 5–5, and 3 of those 10 went to a fifth set.
First set to match win · in this matchup
HomeFarsky66.7%2 of 3
AwayTuma57.1%4 of 7
Set by set, in these 10 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Farsky3Tuma7n = 10Tuma took 7 of 10
S2Farsky6Tuma4n = 10Farsky took 6 of 10
S3Farsky8Tuma2n = 10Farsky took 8 of 10
S4Farsky4Tuma5n = 9Tuma took 5 of 9
S5Farsky1Tuma2n = 3Tuma took 2 of 3
How those 10 finishedcounts, and the six add up to 10 — a scoreline is a name, not a code
3–0Straight, home110%
3–1Four sets, home330%
3–2Decider, home110%
2–3Decider, away220%
1–3Four sets, away330%
0–3Straight, away00%
These 10 meetings
MetricFarskyTumaF − TBasisWins550in 10 meetingsFirst set37−4of 10Avg pointsper match40.740.0+0.7per matchSweeps10+13–0 or 0–3
Career, not this matchup
MetricFarskyTumaBasisWin rate · lifetime171 / 353 vs 241 / 47748.4%50.5%171 / 353 vs 241 / 477Avg sets wonper match2.12.1per matchAvg pointsper match39.338.7per 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
FarskyFarsky 1.53/Tuma 2.38
Read onlywould have hit
What we said
56.8%
Farsky · sealed before the serve
What happened
3–0
Farsky won
Recent Results
H2H · no odds on record10
WAug 24 · 20:19K. Farsky4391211113L. Tuma381110981
LAug 24 · 18:15K. Farsky368101171L. Tuma4011126113
LAug 23 · 17:45K. Farsky35814941L. Tuma45111211113
WAug 11 · 16:33K. Farsky4051211123L. Tuma3411103101
LAug 11 · 14:00K. Farsky4184111172L. Tuma44111156113
LJul 10 · 07:00K. Farsky4811811992L. Tuma44411711113
WJul 6 · 06:13K. Farsky361111143L. Tuma2998120
WJun 14 · 20:58K. Farsky4181111113L. Tuma35117981
LJun 14 · 17:45K. Farsky34981251L. Tuma43111110113
WApr 16 · 16:29K. Farsky53111597113L. Tuma48913111142
K. Farsky10
WSep 12 · 08:28M. Vorel2.50101111882K. Farsky1.50129711113LSep 12 · 07:30K. Jirousek1.6711116133K. Farsky2.109511111WSep 12 · 07:00K. Farsky1.61119116113A. Dvoracek2.2091131172WSep 12 · 06:00K. Farsky1.611216113M. Vorel2.20101450WSep 6 · 20:33A. Dvoracek1.807860K. Farsky1.911111113LSep 6 · 19:30J. Pina2.10711511143K. Farsky1.67116117122LSep 6 · 19:00K. Farsky1.831159111K. Jirousek1.8371111133LSep 6 · 18:00K. Farsky1.731472101A. Dvoracek2.00121111123LSep 1 · 17:08K. Farsky1.8081151352T. Bertho1.911131111113WSep 1 · 16:00P. Kotrbacek2.2531161132K. Farsky1.57117119113
L. Tuma10
WSep 20 · 18:15F. Schmidtmayer1.6795111162L. Tuma2.10111193113LSep 15 · 17:04M. Soukup1.671111113L. Tuma2.104960WSep 15 · 15:30P. Abraham2.101154111L. Tuma1.6791111133WSep 15 · 15:00L. Tuma1.531111113T. Stejskal2.388960LSep 15 · 14:00L. Tuma1.9141141122M. Soukup1.80115119113WSep 14 · 17:10L. Tuma1.401111113J. Blazek2.755880WSep 14 · 16:00L. Tuma1.73741211113J. Hanacek2.00111110742LSep 14 · 14:30J. Blazek3.0011118113L. Tuma1.36461151WSep 14 · 14:00E. Ondracek1.737650L. Tuma2.001111113WSep 4 · 16:58K. Jirousek2.1010880L. Tuma1.671211113
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