TT Lossbeater/TT Elite Series
TT Elite SeriesMatch #13020317
Played Aug 27Finished
Artur Grela
Home
2.00
At publish
Won last 1Form at publish
4–6Last 10Won last 1
Final
0 – 3
Set by set
911711811––––
Grzegorz Felkel
Away
1.73
At publish
Won last 5Form at publish
7–3Last 10Won last 5
The read, and what happenedsealed at 11:45 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
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 goingArtur Grela above · Grzegorz Felkel below
Set 1 · 9-11
Set 2 · 7-11
Set 3 · 8-11
Point 57 set 3, 8-11 — our read held Grzegorz Felkel at 54.0%
57 points played in total.
H2H Artur Grela 56–67 Grzegorz Felkel Artur Grela has won 56 of their 123 meetings.
Last 10 · 5–5Head to head
The pickNo pick published
Sealed 11:45What took a side6 for · 0 against · 0 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.73 (54%)
Felkel
Correct
no bar to clear — a priced side always votes
H2H
56-67 in 123
Felkel
Correct
gap of 11 in 123, over the gap of 2
Rating (G2)
Grela 1923 vs Felkel 1930
Felkel
Correct
both rated, 7 points apart — no bar to clear
Form (L5)
Grela 60% vs Felkel 100%
Felkel
Correct
40pp gap, over the 15pp bar
Form (L10)
Grela 40% vs Felkel 70%
Felkel
Correct
30pp gap, over the 15pp bar
Streak
Grela +1 · Felkel +5
Felkel
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.
6 for, 0 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 54% — Coin-flip (leans Felkel)
Decision Summary
Why this prediction
- Felkel form (100%) outperforms what odds imply (58%)
Market vs Signals
Market oddsGrela 2.00 / Felkel 1.73
Signal prob.46% / 54%
Edge (Felkel)+0.3pp
TT Elite Series · #13020317
Grela2.00
40%won 4 of 10 · last 10
oldest → newest
50%takes the first set · 5 of 10
As underdog48% won 142 of 299
Down 0–1, comes back30% 48 of 161
Down 0–2, comes back9% 6 of 66
Felkel1.73
70%won 7 of 10 · last 10
Won last 5
oldest → newest60%takes the first set · 6 of 10
As favourite62% won 237 of 383
Up 2–0, closes it93% 135 of 145
Up 1–0, closes it79% 175 of 223
Head to head
H2H window
The recordacross 10 meetings
HomeGrela5wins
AwayFelkel5wins
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
HomeGrela66.7%4 of 6
AwayFelkel75%3 of 4
Set by set, in these 10 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Grela6Felkel4n = 10Grela took 6 of 10
S2Grela5Felkel5n = 10split evenly
S3Grela2Felkel8n = 10Felkel took 8 of 10
S4Grela4Felkel4n = 8split evenly
S5Grela2Felkel1n = 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, home00%
3–1Four sets, home330%
3–2Decider, home220%
2–3Decider, away110%
1–3Four sets, away220%
0–3Straight, away220%
These 10 meetings
MetricGrelaFelkelG − FBasisWins550in 10 meetingsFirst set64+2of 10Avg pointsper match40.039.7+0.3per matchSweeps02−23–0 or 0–3
Career, not this matchup
MetricGrelaFelkelBasisWin rate · lifetime630 / 1252 vs 724 / 120550.3%60.1%630 / 1252 vs 724 / 1205Avg sets wonper match2.02.2per matchAvg pointsper match38.337.8per 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
FelkelGrela 2.00/Felkel 1.73
Read onlywould have hit
What we said
54%
Felkel · sealed before the serve
What happened
0–3
Felkel won
Recent Results
H2H · no odds on record10
WAug 27 · 11:15A. Grela—121011113G. Felkel—1012581
LAug 27 · 06:55A. Grela—9780G. Felkel—1111113
WAug 26 · 11:40A. Grela—812711123G. Felkel—1110116102
LAug 26 · 04:55A. Grela—11119882G. Felkel—651111113
WAug 20 · 03:25A. Grela—11713113G. Felkel—4111181
WAug 14 · 14:35A. Grela—1112109113G. Felkel—910121162
LAug 14 · 05:15A. Grela—11813101G. Felkel—81115123
LJul 30 · 03:25A. Grela—7128101G. Felkel—111011123
WJul 12 · 13:20A. Grela—111110113G. Felkel—741291
LJul 12 · 05:15A. Grela—6660G. Felkel—1111113
A. Grela10
LSep 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. Sporek3.407111071LSep 5 · 08:30A. Grela1.8081141182S. Kolasa1.91117116113LSep 5 · 06:55A. Grela1.3011611982M. Domin3.40911611113WSep 5 · 05:40A. Grela1.3081111123S. Sporek3.401167101WSep 5 · 04:10A. Grela1.3311117113G. Adamiak3.25641151WSep 5 · 03:00A. Grela1.4011511123M. Nowalinski2.759115101
G. Felkel10
LAug 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 · 06:05G. Felkel1.671111711113S. Kolasa2.1095111382WAug 27 · 04:30G. Felkel1.251111113M. Domin3.752680WAug 27 · 03:45P. David1.5391111692G. Felkel2.38116711113WAug 26 · 14:10G. Felkel1.57911114113D. Michna2.2511681182
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