Gibki at Planetary Qualifier Warsaw

melee.gg

Planetary Premier April 19, 2026 Record 7-1-1 Field 63

Rating after 2,069

+87

Rating before 1,982 RD 96

Rating after 2,069 RD 94

Effective multiplier 1.14×

Performance 2,394

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 1982 → Swiss 2001 +19.2 → Quarterfinals 2024 +22.5 → Semifinals 2038 +14.2 → Finals 2051 +13.4 → Top-cut bonus 2066 +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 4-1-1 +19.2 1.0× +0.0 +19.2 2001

Quarterfinals · 1 match 1-0 +20.1 1.12× 1.00 · +0.12 +2.4 +22.5 2024

Semifinals · 1 match 1-0 +12.9 1.18× 1.00 · +0.18 +2.3 +15.3 2038

Finals · 1 match 1-0 +11.1 1.4× 1.00 · +0.25 · +0.15 +4.4 +15.5 2051

Top-cut bonus Tier-scaled additive ‧ Planetary at 63 +15.0 2066

Total 7-1-1 +87.5 2069

Biggest upset Beat Mikołaj Wendowski 2216 at 31% odds / surprise +0.69

Toughest win Beat Beton 2225 at 32% odds

Costliest loss Lost to DrakonianLord 1945 at 53% odds / surprise -0.53 /

Matches (9)

R1 Zaglobamlodszy Win 2-0 1.0× +8.3 Swiss

R2 bxsic Win 2-1 1.0× +3.2 Swiss

R3 Mikołaj Wendowski Win 2-1 1.0× +22.0 Swiss

Glicko-2 predicted only 31% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R4 DrakonianLord Loss 0-2 1.0× Swiss

Glicko-2 predicted 53% 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 152, true skill could span ±304).

R5 michalr Draw 1-1 1.0× -5.0 Swiss

R6 Tomasz Napierała Win 2-0 1.0× +9.2 Swiss

QF Beton Win 2-0 1.12× +24.9 Top Cut

Glicko-2 predicted only 32% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

Semis Jędrzej Sobota Win 2-0 1.18× +16.6 Top Cut

Finals Piotr Jabłoński Win 2-0 1.4× +16.1 Top Cut