TT Lossbeater/TT Elite Series
TT Elite SeriesMatch #13098583
Played Sep 9Finished
Grzegorz Felkel
Home
1.73
At publish
Lost last 1Form at publish
5–5Last 10Lost last 1
Final
2 – 3
Set by set
117911114611811
Artur Grela
Away
2.00
At publish
Won last 3Form at publish
6–4Last 10Won last 3
The read, and what happenedsealed at 11:21 and never touched — 54.0% is still 54.0%
Graded at full timeGrzegorz Felkel to win
54.0%
54.0%
Sealed before the first serve and never touched. The record is only checkable because of that.
Read
Wrongnot sent
How it is goingGrzegorz Felkel above · Artur Grela below
Set 1 · 11-7
Set 2 · 9-11
Set 3 · 11-4
Set 4 · 6-11
Set 5 · 8-11
Point 89 set 5, 8-11 — our read held Grzegorz Felkel at 54.0%
89 points played in total.
H2H Grzegorz Felkel 67–56 Artur Grela Artur Grela has won 56 of their 123 meetings.
Last 10 · 5–5Head to head
The pickNothing sent
Sealed 11:21What took a side2 for · 2 against · 2 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.73 (54%)
Felkel
Wrong
no bar to clear — a priced side always votes
H2H
67-56 in 123
Felkel
Wrong
gap of 11 in 123, over the gap of 2
Rating (G2)
Felkel 1926 vs Grela 1928
Grela
Correct
both rated, 2 points apart — no bar to clear
Form (L5)
Felkel 60% vs Grela 60%
—
Too close
0pp gap, under the 15pp bar
Form (L10)
Felkel 50% vs Grela 60%
—
Too close
10pp gap, under the 15pp bar
Streak
Felkel -1 · Grela +3
Grela
Correct
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.
2 for, 2 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 54% — Coin-flip (leans Felkel)
Decision Summary
Market vs Signals
Market oddsFelkel 1.73 / Grela 2.00
Signal prob.54% / 46%
Edge (Felkel)+0.3pp
TT Elite Series · #13098583
Felkel1.73
50%won 5 of 10 · last 10
oldest → newest
70%takes the first set · 7 of 10
As favourite62% won 225 of 364
Up 2–0, closes it93% 126 of 136
Up 1–0, closes it79% 164 of 209
Grela2.00
60%won 6 of 10 · last 10
Won last 3
oldest → newest60%takes the first set · 6 of 10
As underdog47% won 126 of 270
Down 0–1, comes back31% 45 of 146
Down 0–2, comes back9% 5 of 55
Head to head
H2H window
The recordacross 10 meetings
HomeFelkel5wins
AwayGrela5wins
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
HomeFelkel75%3 of 4
AwayGrela66.7%4 of 6
Set by set, in these 10 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Felkel4Grela6n = 10Grela took 6 of 10
S2Felkel5Grela5n = 10split evenly
S3Felkel8Grela2n = 10Felkel took 8 of 10
S4Felkel4Grela4n = 8split evenly
S5Felkel1Grela2n = 3Grela 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, home220%
3–1Four sets, home220%
3–2Decider, home110%
2–3Decider, away220%
1–3Four sets, away330%
0–3Straight, away00%
These 10 meetings
MetricFelkelGrelaF − GBasisWins550in 10 meetingsFirst set46−2of 10Avg pointsper match39.740.0−0.3per matchSweeps20+23–0 or 0–3
Career, not this matchup
MetricFelkelGrelaBasisWin rate · lifetime704 / 1172 vs 633 / 125160.1%50.6%704 / 1172 vs 633 / 1251Avg sets wonper match2.22.0per matchAvg pointsper match37.838.4per 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
FelkelFelkel 1.73/Grela 2.00
Read onlywould have missed
What we said
54%
Felkel · sealed before the serve
What happened
2–3
Grela won
Recent Results
H2H · no odds on record10
LAug 27 · 11:15G. Felkel—1012581A. Grela—121011113
WAug 27 · 06:55G. Felkel—1111113A. Grela—9780
LAug 26 · 11:40G. Felkel—1110116102A. Grela—812711123
WAug 26 · 04:55G. Felkel—651111113A. Grela—11119882
LAug 20 · 03:25G. Felkel—4111181A. Grela—11713113
LAug 14 · 14:35G. Felkel—910121162A. Grela—1112109113
WAug 14 · 05:15G. Felkel—81115123A. Grela—11813101
WJul 30 · 03:25G. Felkel—111011123A. Grela—7128101
LJul 12 · 13:20G. Felkel—741291A. Grela—111110113
WJul 12 · 05:15G. Felkel—1111113A. Grela—6660
G. Felkel10
LSep 9 · 05:15G. Felkel1.36512111092K. Wloczko3.001110912113WSep 9 · 04:10A. Wiecek1.73911451G. Felkel2.0011811113WSep 9 · 03:25G. Felkel1.917141011113T. Spanik1.80111212632LAug 27 · 14:10D. Michna2.2091111113G. Felkel1.61114891WAug 27 · 13:20K. Kolodziej2.5010560G. Felkel1.501211113LAug 27 · 11:15A. Grela1.73121011113G. Felkel2.001012581LAug 27 · 10:25S. Kolasa2.1081111133G. Felkel1.671164111WAug 27 · 09:00P. David1.50711115112G. Felkel2.50119911133LAug 27 · 07:45D. Michna2.0061111113G. Felkel1.73119251WAug 27 · 06:55A. Grela2.009780G. Felkel1.731111113
A. Grela10
WSep 9 · 05:40A. Wiecek1.8396121162A. Grela1.831111108113WSep 9 · 04:55A. Grela1.80111213113T. Spanik1.916141181WSep 9 · 03:45A. Grela1.67981111113D. Michna2.1011118952LSep 5 · 13:45A. Grela1.8391111492S. Kolasa1.83117811113LSep 5 · 12:30A. Grela1.5314381142M. Nowalinski2.381211114113WSep 5 · 11:15A. Grela1.33811711113G. Adamiak3.2511611732WSep 5 · 10:00M. Domin3.251111471A. Grela1.3313711113WSep 5 · 09:20A. Grela1.3011712113S. Sporek3.407111071WAug 27 · 11:15A. Grela1.73121011113G. Felkel2.001012581LAug 27 · 06:55A. Grela2.009780G. Felkel1.731111113
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