Danuel_Nie at Planetary Qualifier Warsaw

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Planetary Premier April 19, 2026 Record 3-3-0 Field 63

Rating after 1,358

+55

Rating before 1,304 RD 144

Rating after 1,358 RD 128

Effective multiplier 1.0×

Performance 1,531

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 1304 → Swiss 1358 +54.8

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 3-3 +54.8 1.0× +0.0 +54.8 1358

Total 3-3-0 +54.8 1358

Biggest upset Beat Jan Jurczyszyn 1456 at 37% odds / surprise +0.63

Costliest loss Lost to Guzi6 1378 at 44% odds / surprise -0.44 /

Matches (6)

R1 SergioG4 Win 2-1 1.0× +35.3 Swiss

Glicko-2 predicted only 46% 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 180, true skill could span ±360).

R2 Marchewa Loss 0-2 1.0× Swiss

R3 Guzi6 Loss 0-2 1.0× Swiss

R4 Szavi Loss 0-2 1.0× Swiss

R5 Jan Jurczyszyn Win 2-1 1.0× +42.6 Swiss

Glicko-2 predicted only 37% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R6 Orka Win 2-0 1.0× +41.1 Swiss

Glicko-2 predicted only 39% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.