SergioG4 at Planetary Qualifier Warsaw

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Planetary Premier April 19, 2026 Record 3-2-1 Field 63

Rating after 1,417

+67

Rating before 1,350 RD 180

Rating after 1,417 RD 148

Effective multiplier 1.0×

Performance 1,550

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 1350 → Swiss 1417 +66.7

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 3-2-1 +66.7 1.0× +0.0 +66.7 1417

Total 3-2-1 +66.7 1417

Biggest upset Beat macpodgorski 1520 at 36% odds / surprise +0.64

Costliest loss Lost to Danuel_Nie 1304 at 54% odds / surprise -0.54 /

Matches (6)

R1 Danuel_Nie Loss 1-2 1.0× Swiss

Glicko-2 predicted 54% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins. Their rating wasn't well-established (RD 144, true skill could span ±289).

R2 Tadas Draw 1-1 1.0× +13.9 Swiss

R3 macpodgorski Win 2-0 1.0× +64.2 Swiss

Glicko-2 predicted only 36% 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 144, true skill could span ±288).

R4 SirMesmer Win 2-1 1.0× +58.3 Swiss

Glicko-2 predicted only 42% 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 129, true skill could span ±258).

R5 Tomasz Napierała Loss 0-2 1.0× Swiss

R6 Marcin-ravin78 Win 2-0 1.0× +32.5 Swiss