ORA_Louisere at Planetary Qualifier Montreal

melee.gg
Planetary Premier April 25, 2026 Record 3-2-1 Field 82
Rating after 1,508
+62
Rating before 1,446 RD 150
Rating after 1,508 RD 130
Effective multiplier 1.0× weighted avg
Performance 1,681 vs field +102
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 · 6 matches 3-2-1 +61.6 1.0× +0.0 +61.6 1508
Total 3-2-1 +61.6 1508
Biggest upset Beat suspect 1587 at 38% odds / surprise +0.62
Costliest loss Lost to Obi-Dan 1445 at 50% odds / surprise -0.5 / +72 swing

Matches (6)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1587~ suspect Win 38% 2-0 1.0× +44.1 Swiss
Glicko-2 predicted only 38% 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 141, true skill could span ±282).
R2 1775~ Order514_CT Loss 25% 1-2 1.0× -18.1 Swiss
R3 1445~ Obi-Dan Loss 50% 0-2 1.0× -36.0 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. Their rating wasn't well-established (RD 127, true skill could span ±253).
R4 1589~ tguiboud Draw 38% 1-1 1.0× +8.1 Swiss
R5 1500~ Rorschach87 Win 46% 2-0 1.0× +36.5 Swiss
Glicko-2 predicted only 46% 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 250, true skill could span ±500).
R6 1568 D3ploy_MythicForce Win 40% 2-0 1.0× +43.8 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.
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