suspect at Planetary Qualifier Montreal

melee.gg
Planetary Premier April 25, 2026 Record 3-4-0 Field 82
Rating after 1,554
-33
Rating before 1,587 RD 141
Rating after 1,554 RD 121
Effective multiplier 1.0× weighted avg
Performance 1,466 vs field -113
Field strength Mean 1,579 · Median 1,558 · 82 rated 49th 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 · 7 matches 3-4 -32.8 1.0× +0.0 -32.8 1554
Total 3-4-0 -32.8 1554
Biggest upset Beat OMG 1610 at 48% odds / surprise +0.52
Costliest loss Lost to ORA_Louisere 1446 at 61% odds / surprise -0.61 / +64 swing

Matches (7)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1446~ ORA_Louisere Loss 61% 0-2 1.0× -39.3 Swiss
Glicko-2 predicted 61% 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 ±299).
R2 1597 ORA_JusDem Loss 49% 0-2 1.0× -31.7 Swiss
R3 1610 OMG Win 48% 2-0 1.0× +33.8 Swiss
Glicko-2 predicted only 48% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.
R4 1780 RFrancisR Loss 34% 0-2 1.0× -22.3 Swiss
R5 1420~ Gharuwill Win 64% 2-0 1.0× +23.5 Swiss
R6 1458 GarmBelIblis Win 61% 2-1 1.0× +25.5 Swiss
R7 1582 Order514_Madness Loss 50% 1-2 1.0× -32.6 Swiss
Glicko-2 predicted 50% 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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