SSB_Lier at Planetary Qualifier Oviedo

melee.gg
Planetary Premier April 25, 2026 Record 2-4-0 Field 44
Rating after 1,650
-45
Rating before 1,695 RD 94
Rating after 1,650 RD 89
Effective multiplier 1.0× weighted avg
Performance 1,339 vs field -206
Field strength Mean 1,545 · Median 1,519 · 44 rated 14th Percentile Planetaries, 2026 Q2

// 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 -44.5 1.0× +0.0 -44.5 1650
Total 2-4-0 -44.5 1650
Biggest upset Beat ivanSAT 1569 at 61% odds / surprise +0.39
Costliest loss Lost to McLion34 1425 at 71% odds / surprise -0.71 / +29 swing

Matches (6)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1569 ivanSAT Win 61% 2-0 1.0× +11.9 Swiss
R2 1442 DarkArrow Win 70% 2-0 1.0× +9.0 Swiss
R3 1568~ Farreli Loss 60% 0-2 1.0× -17.8 Swiss
Glicko-2 predicted 60% 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 150, true skill could span ±300).
R4 1425~ McLion34 Loss 71% 1-2 1.0× -20.5 Swiss
Glicko-2 predicted 71% 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 186, true skill could span ±372).
R5 1710~ vidalvic Loss 49% 0-2 1.0× -14.4 Swiss
R6 1584 leninegz Loss 59% 1-2 1.0× -17.8 Swiss
Glicko-2 predicted 59% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.
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