McLion34 at Planetary Qualifier Oviedo

melee.gg
Planetary Premier April 25, 2026 Record 4-2-1 Field 44
Rating after 1,558
+133
Rating before 1,425 RD 186
Rating after 1,558 RD 151
Effective multiplier 0.97× weighted avg
Performance 1,770 vs field +225
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 4-1-1 +157.1 1.0× +0.0 +157.1 1582
Quarterfinals · 1 match 0-1 -29.5 0.82× 1.00 · -0.18 +5.3 -24.2 1555
Top-cut bonus Tier-scaled additive ‧ Planetary at 44 +15.0 1570
Total 4-2-1 +133.0 1558
Biggest upset Beat SSB_Lier 1695 at 29% odds / surprise +0.71
Costliest loss Lost to DarkArrow 1442 at 49% odds / surprise -0.49 / +107 swing

Matches (7)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1442 DarkArrow Loss 49% 1-2 1.0× -52.2 Swiss
R2 1548~ Flowman Win 40% 2-0 1.0× +63.7 Swiss
Glicko-2 predicted only 40% 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 156, true skill could span ±312).
R3 1363 GloktaPRT Win 55% 2-1 1.0× +48.1 Swiss
R4 1695 SSB_Lier Win 29% 2-1 1.0× +78.5 Swiss
Glicko-2 predicted only 29% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.
R5 1636 Taelos Win 33% 2-0 1.0× +73.2 Swiss
Glicko-2 predicted only 33% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.
R6 1354~ Evilcloud Draw 0-0 1.0× ±0.0 Swiss
QF 1661 Fuegoscuro86 Loss 43% 1-2 0.82× -27.7 Top Cut
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