CCR_Scorekeeper at Planetary Qualifier Idstein

melee.gg
Planetary Premier February 21, 2026 Record 2-4-0 Field 61
Rating after 1,572
-45
Rating before 1,616 RD 139
Rating after 1,572 RD 123
Effective multiplier 1.0× weighted avg
Performance 1,405 vs field -179
Field strength Mean 1,584 · Median 1,568 · 61 rated 76th Percentile Planetaries, 2026 Q1

// 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 2-4 -44.9 1.0× +0.0 -44.9 1572
Total 2-4-0 -44.9 1572
Biggest upset Beat vGoet_TcT 1832 at 32% odds / surprise +0.68
Costliest loss Lost to BFF_MichaelDe 1395 at 67% odds / surprise -0.67 / +62 swing

Matches (6)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1533~ Inusasha Win 57% 2-0 1.0× +26.9 Swiss
R2 1395~ BFF_MichaelDe Loss 67% 0-2 1.0× -41.5 Swiss
Glicko-2 predicted 67% 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 179, true skill could span ±358).
R3 1832 vGoet_TcT Win 32% 2-1 1.0× +43.4 Swiss
Glicko-2 predicted only 32% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.
R4 1714 yungpope_TDM Loss 42% 0-2 1.0× -26.5 Swiss
R5 1767 ChrisCunning Loss 37% 0-2 1.0× -23.8 Swiss
R6 1500~ DarthTatlises Loss 59% 1-2 1.0× -34.6 Swiss
Glicko-2 predicted 59% 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 250, true skill could span ±500).
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