JElliot at Planetary Qualifier CONROE

melee.gg
Planetary Premier April 25, 2026 Record 5-2-1 Field 55
Rating after 1,931
+33
Rating before 1,897 RD 92
Rating after 1,931 RD 90
Effective multiplier 0.93× weighted avg
Performance 2,000 vs field +412
Field strength Mean 1,588 · Median 1,561 · 55 rated 62nd 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 +21.0 1.0× +0.0 +21.0 1918
Quarterfinals · 1 match 1-0 +6.4 1.12× 1.00 · +0.12 +0.8 +7.1 1925
Semifinals · 1 match 0-1 -13.7 0.73× 1.00 · -0.27 +3.7 -10.0 1914
Top-cut bonus Tier-scaled additive ‧ Planetary at 55 +15.0 1929
Total 5-2-1 +33.1 1931
Biggest upset Beat Eric_DS 1780 at 60% odds / surprise +0.4
Costliest loss Lost to marshhhh 1836 at 55% odds / surprise -0.55 / +29 swing

Matches (8)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1729 Drewskii Win 64% 2-0 1.0× +10.5 Swiss
R2 1780 Eric_DS Win 60% 2-0 1.0× +11.7 Swiss
R3 1836 marshhhh Loss 55% 0-2 1.0× -16.2 Swiss
Glicko-2 predicted 55% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.
R4 1504 zach2519 Win 79% 2-1 1.0× +6.1 Swiss
R5 1741~ ominousquash Win 63% 2-1 1.0× +10.7 Swiss
R6 1641 CannedIce Draw 0-0 1.0× ±0.0 Swiss
QF 1507 vakarian Win 80% 2-1 1.12× +6.9 Top Cut
Semis 1904 Gold630 Loss 52% 0-2 0.73× -10.6 Top Cut
Glicko-2 predicted 52% 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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