TT Lossbeater/TT Elite Series
Rafal Gajda vs Kamil Kowalski 2-3 · TT Elite Series
TT Elite Series
Played Sep 22Finished
Rafal Gajda
Home
1.25
At publish
Won last 2Form at publish
6–4Last 10Won last 2
Final
2 – 3
Set by set
1169111412811811
Kamil Kowalski
Away
3.45
At publish
Lost last 1Form at publish
4–6Last 10Lost last 1
The read, and what happenedsealed at 01:25 and never touched — 73.5% is still 73.5%
Graded at full timeRafal Gajda to win
73.5%
73.5%
Sealed before the first serve and never touched. The record is only checkable because of that.
Read
Wrongnot sent
How it is going
Point-by-point unavailable
BetsAPI did not publish a timeline for this match.
101 points played in total.
Set by set
1169111412811811
H2H Rafal Gajda 5–5 Kamil Kowalski Dead even across their 10 meetings.
Last 10 · 5–5Head to head
The pickNothing sent
Sealed 01:25What took a side4 for · 0 against · 2 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.25 (73%)
Gajda
Wrong
no bar to clear — a priced side always votes
H2H
5-5 in 10
—
Too close
gap of 0, under the gap of 2
Rating (G2)
Gajda 1343 vs Kowalski 1071
Gajda
Wrong
both rated, 273 points apart — no bar to clear
Form (L5)
Gajda 60% vs Kowalski 40%
Gajda
Wrong
20pp gap, over the 15pp bar
Form (L10)
Gajda 60% vs Kowalski 40%
Gajda
Wrong
20pp gap, over the 15pp bar
Streak
Gajda +2 · Kowalski -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.
4 for, 2 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 73% — Strong (leans Gajda)
Decision Summary
Why this prediction
- Kowalski form (40%) outperforms what odds imply (29%)
Market vs Signals
Market oddsGajda 1.25 / Kowalski 3.45
Signal prob.73% / 27%
Edge (Gajda)-0.0pp
TT Elite Series · #13174062
Gajda1.25
60%won 6 of 10 · last 10
Last match: 6 days ago (Sep 16)
Won last 2
oldest → newest40%takes the first set · 4 of 10
As favourite59% won 151 of 258
Up 2–0, closes it92% 68 of 74
Up 1–0, closes it75% 105 of 140
Kowalski3.45
40%won 4 of 10 · last 10
Last match: 5 days ago (Sep 17)
oldest → newest
70%takes the first set · 7 of 10
As underdog17% won 22 of 132
Down 0–1, comes back5% 4 of 83
Down 0–2, comes back0% 0 of 56
Head to head
H2H window
The recordacross 10 meetings
HomeGajda5wins
AwayKowalski5wins
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
HomeGajda66.7%4 of 6
AwayKowalski75%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
S1Gajda6Kowalski4n = 10Gajda took 6 of 10
S2Gajda3Kowalski7n = 10Kowalski took 7 of 10
S3Gajda5Kowalski5n = 10split evenly
S4Gajda4Kowalski5n = 9Kowalski took 5 of 9
S5Gajda2Kowalski1n = 3Gajda 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, away330%
0–3Straight, away110%
These 10 meetings
MetricGajdaKowalskiG − KBasisWins550in 10 meetingsFirst set64+2of 10Avg pointsper match39.539.7−0.2per matchSweeps01−13–0 or 0–3
Career, not this matchup
MetricGajdaKowalskiBasisWin rate · lifetime422 / 820 vs 22 / 14051.5%15.7%422 / 820 vs 22 / 140Avg sets wonper match2.11.2per matchAvg pointsper match39.432.9per 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
GajdaGajda 1.25/Kowalski 3.45
Read onlywould have missed
What we said
73.4%
Gajda · sealed before the serve
What happened
2–3
Kowalski won
Recent Results
H2H · no odds on record10
WSep 3 · 10:35R. Gajda46111149113K. Kowalski4247111192
WSep 3 · 04:10R. Gajda3611311113K. Kowalski31811571
LAug 13 · 13:55R. Gajda35117891K. Kowalski4071111113
WAug 13 · 04:10R. Gajda4211911113K. Kowalski33811681
LAug 11 · 09:00R. Gajda521112811102K. Kowalski53714119123
LAug 11 · 03:50R. Gajda29127100K. Kowalski371411123
WAug 6 · 10:35R. Gajda43101111113K. Kowalski33127591
LAug 6 · 03:00R. Gajda37981191K. Kowalski3911116113
LAug 4 · 14:20R. Gajda33681181K. Kowalski4211119113
WAug 4 · 08:10R. Gajda42111127113K. Kowalski4797111192
R. Gajda10
WSep 22 · 06:00I. Szymanski3.55126231R. Gajda1.18101111113WSep 22 · 05:10R. Gajda1.8311611113J. Kaczmarek1.87911691WSep 16 · 13:55R. Gajda1.20111111113I. Szymanski4.33461351WSep 16 · 12:40R. Gajda1.831191112113K. Adamus1.83131191092LSep 16 · 11:25R. Gajda2.0011880P. Gumulinski1.731311113WSep 16 · 10:10P. Przewlocki1.80101150R. Gajda1.911213113LSep 16 · 09:25R. Gajda1.831013891W. Urban1.83121111113WSep 16 · 07:45R. Gajda1.73118138113P. Przewlocki2.00511111182LSep 16 · 06:30R. Gajda1.8310880K. Adamus1.831211113LSep 16 · 05:15R. Gajda2.20611841P. Gumulinski1.6111911113
K. Kowalski10
LSep 22 · 04:50K. Kowalski5.454770K. Hetnar1.061111113LSep 17 · 14:20K. Kowalski4.3313581182P. Gumulinski1.201111116113WSep 17 · 12:40P. Kurek1.2071111732K. Kowalski4.33116511113WSep 17 · 11:50L. Oracz1.221195111K. Kowalski4.0081111133LSep 17 · 11:00K. Kowalski3.251113111152W. Ptak1.33715139113LSep 17 · 09:50K. Kowalski3.25116321I. Szymanski1.3391111113LSep 17 · 08:10K. Kowalski5.5089111292P. Gumulinski1.131111510113LSep 17 · 06:30P. Kurek1.148111112113K. Kowalski5.0011871492LSep 17 · 05:40I. Szymanski1.281111113K. Kowalski3.505780WSep 17 · 04:55K. Kowalski3.7511611113W. Ptak1.25511781
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