Jędrzej Sobota at Planetary Qualifier Warsaw

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Planetary Premier April 19, 2026 Record 5-1-2 Field 63

Rating after 1,955

+44

Rating before 1,911 RD 77

Rating after 1,955 RD 80

Effective multiplier 0.98×

Performance 2,258

Field strength Mean 1,594 · Median 1,544 · 63 rated

// rating math · glicko-2 phase replay

How this rating change was computed

Glicko-2 doesn’t reward record — it rewards surprise. Winning a match the system expected you to win is worth almost nothing. Losing one is expensive. Losing to someone rated below you costs the most. The Planetary tier multiplier (1.0×) amplifies every gain and every loss.

Shape D top-cut adjustments QF SF F Wins +0.12 +0.18 +0.25 Losses -0.18 -0.27 -0.35

Making cut at this Planetary event adds a flat +15 top-cut bonus on top of phase math. Making cut never costs you net rating — the made-cut floor pins the tournament delta to ≥ 0.

Start 1911 → Swiss 1933 +22.8 → Quarterfinals 1945 +11.7 → Semifinals 1938 -7.4 → Top-cut bonus 1953 +15.0

Top Cut Bracket Full bracket on the event page

Quarterfinals

Beton 0

Gibki 2

Jędrzej Sobota 2

DrakonianLord 1

Harrison_Solo 0

Piotr Jabłoński 2

siny 0

Cuendae 2

Semifinals

Gibki 2

Jędrzej Sobota 0

Piotr Jabłoński 2

Cuendae 0

Finals

Gibki 2

Piotr Jabłoński 0

See full bracket on the event page →

Swiss · 6 matches 4-0-2 +22.8 1.0× +0.0 +22.8 1933

Quarterfinals · 1 match 1-0 +12.0 1.12× 1.00 · +0.12 +1.4 +13.5 1945

Semifinals · 1 match 0-1 -9.4 0.73× 1.00 · -0.27 +2.5 -6.9 1938

Top-cut bonus Tier-scaled additive ‧ Planetary at 63 +15.0 1953

Total 5-1-2 +44.4 1955

Biggest upset Beat DrakonianLord 1945 at 49% odds / surprise +0.51

Costliest loss Lost to Gibki 1982 at 47% odds / surprise -0.47 /

Matches (8)

R1 Bartek Win 2-0 1.0× +5.9 Swiss

R2 Piotr Jabłoński Win 2-1 1.0× +8.8 Swiss

R3 kosoluk Win 2-0 1.0× +4.0 Swiss

R4 Arteusz Win 2-0 1.0× +5.1 Swiss

R5 siny Draw 0-0 1.0× ±0.0 Swiss

R6 DrakonianLord Draw 0-0 1.0× ±0.0 Swiss

QF DrakonianLord Win 2-1 1.12× +12.1 Top Cut

Glicko-2 predicted only 49% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect. Their rating wasn't well-established (RD 152, true skill could span ±304).

Semis Gibki Loss 0-2 0.73× Top Cut