NoahG1212 at Planetary Qualifier Radcliff

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Planetary Premier April 25, 2026 Record 4-2-1 Field 44
Rating after 1,924
+4
Rating before 1,920 RD 95
Rating after 1,924 RD 93
Effective multiplier 0.85× weighted avg
Performance 1,780 vs field +197
Field strength Mean 1,583 · Median 1,522 · 44 rated 54th 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 +3.1 1.0× +0.0 +3.1 1923
Quarterfinals · 1 match 0-1 -17.0 0.82× 1.00 · -0.18 +3.1 -13.9 1908
Top-cut bonus Tier-scaled additive ‧ Planetary at 44 +15.0 1923
Total 4-2-1 +4.1 1924
Biggest upset Beat projector101 1787 at 61% odds / surprise +0.39
Costliest loss Lost to AlbatrossLuke 1632 at 72% odds / surprise -0.72 / +30 swing

Matches (7)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1407 mjbaysinger Win 85% 2-0 1.0× +4.7 Swiss
R2 1409~ djb299 Win 84% 2-0 1.0× +4.7 Swiss
R3 1787 projector101 Win 61% 2-1 1.0× +12.0 Swiss
R4 1632~ AlbatrossLuke Loss 72% 1-2 1.0× -21.8 Swiss
Glicko-2 predicted 72% 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 154, true skill could span ±308).
R5 1328~ BKO158 Win 88% 2-1 1.0× +3.7 Swiss
R6 2157 JohnYellow Draw 0-0 1.0× ±0.0 Swiss
QF 1765 Devias Loss 63% 1-2 0.82× -15.8 Top Cut
Glicko-2 predicted 63% 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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