ORA_JusDem at Planetary Qualifier Sherbrooke

melee.gg
Planetary Premier May 10, 2025 Record 3-3-1 Field 73
Rating after 1,481
-19
Rating before 1,500 RD 250
Rating after 1,481 RD 173
Effective multiplier 1.0× weighted avg
Performance 1,480 vs field -45
Field strength Mean 1,525 · Median 1,500 · 69 rated 40th Percentile Planetaries, 2025 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 3-3-1 -18.6 1.0× +0.0 -18.6 1481
Total 3-3-1 -18.6 1481
Biggest upset Beat Glympse1512 1500 at 50% odds / surprise +0.5
Costliest loss Lost to Iceforp 1298 at 66% odds / surprise -0.66 / +180 swing

Matches (7)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1780 Byrus_MythicForce Loss 28% 0-2 1.0× -51.9 Swiss
R2 1500~ Jozzul Loss 50% 1-2 1.0× -89.5 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 136, true skill could span ±272).
R3 1298~ Iceforp Loss 66% 1-2 1.0× -119.5 Swiss
Glicko-2 predicted 66% 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 ±311).
R4 1500~ Glympse1512 Win 50% 2-0 1.0× +85.1 Swiss
Glicko-2 predicted only 50% 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).
R5 1458~ SavageSasquatch Win 53% 2-0 1.0× +81.9 Swiss
R6 1500~ Toupinator Win 50% 2-0 1.0× +85.1 Swiss
Glicko-2 predicted only 50% 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).
R7 1326~ Kalad Draw 64% 1-1 1.0× -24.5 Swiss
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