jkfman101 at Planetary Qualifier CONROE

melee.gg
Planetary Premier April 25, 2026 Record 1-4-0 Field 55
Rating after 1,865
-94
Rating before 1,959 RD 111
Rating after 1,865 RD 105
Effective multiplier 1.0× weighted avg
Performance 1,259 vs field -329
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 · 5 matches 1-4 -94.2 1.0× +0.0 -94.2 1865
Total 1-4-0 -94.2 1865
Toughest win Beat blitzman 1561 at 80% odds
Costliest loss Lost to Dudacus 1507 at 82% odds / surprise -0.82 / +42 swing

Matches (5)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1561 blitzman Win 80% 2-1 1.0× +8.6 Swiss
R2 1904 Gold630 Loss 55% 0-1 1.0× -22.8 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.
R3 1706 Txlawwhawk Loss 70% 0-2 1.0× -29.3 Swiss
Glicko-2 predicted 70% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.
R4 1780 Eric_DS Loss 65% 1-2 1.0× -27.0 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.
R5 1507~ Dudacus Loss 82% 0-1 1.0× -34.3 Swiss
Glicko-2 predicted 82% 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 124, true skill could span ±248).
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