Nick08 at Planetary Qualifier Radcliff

melee.gg
Planetary Premier April 25, 2026 Record 3-3-0 Field 44
Rating after 1,774
-42
Rating before 1,816 RD 99
Rating after 1,774 RD 95
Effective multiplier 1.0× weighted avg
Performance 1,498 vs field -85
Field strength Mean 1,583 · Median 1,522 · 44 rated 54th 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 -41.5 1.0× +0.0 -41.5 1774
Total 3-3-0 -41.5 1774
Toughest win Beat BeardedBabyy 1457 at 77% odds
Costliest loss Lost to djb299 1409 at 79% odds / surprise -0.79 / +33 swing

Matches (6)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1457 BeardedBabyy Win 77% 2-1 1.0× +7.7 Swiss
R2 1363 CDRWedge Win 82% 2-0 1.0× +6.0 Swiss
R3 1632~ AlbatrossLuke Loss 65% 1-2 1.0× -21.2 Swiss
Glicko-2 predicted 65% 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 154, true skill could span ±308).
R4 1409~ djb299 Loss 79% 0-2 1.0× -25.8 Swiss
Glicko-2 predicted 79% 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 177, true skill could span ±354).
R5 1397~ Youngwes2 Win 80% 2-0 1.0× +6.6 Swiss
R6 1737 Justin_B Loss 57% 1-2 1.0× -18.9 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.
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