Goon_Clown007 at Planetary Qualifier Brisbane

melee.gg
Planetary Premier August 09, 2025 Record 2-4-0 Field 40
Rating after 1,464
-51
Rating before 1,515 RD 171
Rating after 1,464 RD 142
Effective multiplier 1.0× weighted avg
Performance 1,339 vs field -200
Field strength Mean 1,539 · Median 1,523 · 40 rated 36th Percentile Planetaries, 2025 Q3

// 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.

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.

Top Cut Bracket Full bracket on the event page
Phase Record Raw Δ Multiplier Bonus Applied Running
Swiss · 6 matches 2-4 -50.7 1.0× +0.0 -50.7 1464
Total 2-4-0 -50.7 1464
Biggest upset Beat ThatsFine 1677 at 37% odds / surprise +0.63
Costliest loss Lost to Isotonic 1333 at 64% odds / surprise -0.64 / +90 swing

Matches (6)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1526~ Oscilioth Win 49% 2-1 1.0× +46.6 Swiss
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 146, true skill could span ±292).
R2 1677~ ThatsFine Win 37% 2-0 1.0× +58.0 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. Their rating wasn't well-established (RD 148, true skill could span ±296).
R3 1703 SC_Fridge Loss 34% 1-2 1.0× -32.4 Swiss
R4 1500~ Bryce King Loss 51% 1-2 1.0× -44.3 Swiss
Glicko-2 predicted 51% 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 250, true skill could span ±500).
R5 1601~ Tannon Loss 43% 0-2 1.0× -39.5 Swiss
R6 1333~ Isotonic Loss 64% 0-2 1.0× -57.9 Swiss
Glicko-2 predicted 64% 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 193, true skill could span ±387).
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