Rankings / SC_Spylk / Planetary Qualifier Tours

SC_Spylk at Planetary Qualifier Tours

melee.gg
Planetary Premier February 09, 2025 Record 5-2-0 Field 126
Rating after 1,965
-26
Rating before 1,991 RD 112
Rating after 1,965 RD 107
Effective multiplier 1.0× weighted avg
Performance 1,798 vs field +260
Field strength Mean 1,538 · Median 1,500 · 124 rated 86th Percentile Planetaries, 2025 Q1

// 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
Quarterfinals
NO_Camino 1
NO_Ephemight 2
SC_louloup 0
NO_Roby 2
Arkhone 1
NO_Kawa 2
DarthShogun 2
Tekryst 0
Semifinals
NO_Ephemight 0
NO_Roby 2
NO_Kawa 0
DarthShogun 2
Finals
NO_Roby 2
DarthShogun 0
See full bracket on the event page →
Phase Record Raw Δ Multiplier Bonus Applied Running
Swiss · 7 matches 5-2 -25.5 1.0× +0.0 -25.5 1965
Total 5-2-0 -25.5 1965
Toughest win Beat MarcYb 1612 at 78% odds
Costliest loss Lost to MeeplesSteMaure37800 1500 at 82% odds / surprise -0.82 / +40 swing

Matches (7)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1612 MarcYb Win 78% 2-0 1.0× +9.3 Swiss
R2 ▼ 1500~ MeeplesSteMaure37800 Loss 82% 0-2 1.0× -32.7 Swiss
Glicko-2 predicted 82% 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).
R3 1500~ Oldjo Win 82% 2-0 1.0× +7.0 Swiss
R4 1500~ Masta Win 82% 2-0 1.0× +7.0 Swiss
R5 1471~ BEO_Feelmovi Win 85% 2-0 1.0× +6.4 Swiss
R6 1500~ Earendil Win 83% 2-0 1.0× +7.0 Swiss
R7 1500~ NO_Kawa Loss 82% 0-2 1.0× -32.7 Swiss
Glicko-2 predicted 82% 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).

Per-match multipliers reflect what the engine applied at the time this snapshot was recorded. The Effective Multiplier above is a delta-weighted average across all phases — Finals matches swing the headline more than Swiss rounds when they produced bigger rating changes. How it works.

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