Taelos at Planetary Qualifier Oviedo

melee.gg
Planetary Premier April 25, 2026 Record 3-3-0 Field 44
Rating after 1,627
-8
Rating before 1,636 RD 102
Rating after 1,627 RD 96
Effective multiplier 1.0× weighted avg
Performance 1,580 vs field +35
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 3-3 -8.3 1.0× +0.0 -8.3 1627
Total 3-3-0 -8.3 1627
Biggest upset Beat vidalvic 1710 at 44% odds / surprise +0.56
Costliest loss Lost to McLion34 1425 at 67% odds / surprise -0.67 / +34 swing

Matches (6)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1500~ erizonte Win 60% 2-0 1.0× +12.9 Swiss
R2 1629 DavidAlvarez Win 51% 2-0 1.0× +17.5 Swiss
R3 1661 Fuegoscuro86 Loss 48% 0-2 1.0× -16.9 Swiss
R4 1710~ vidalvic Win 44% 2-0 1.0× +19.5 Swiss
Glicko-2 predicted only 44% 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 145, true skill could span ±291).
R5 1425~ McLion34 Loss 67% 0-2 1.0× -22.7 Swiss
Glicko-2 predicted 67% 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).
R6 1548~ Flowman Loss 57% 0-2 1.0× -19.8 Swiss
Glicko-2 predicted 57% 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 156, true skill could span ±312).
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