CBG_Taylor at Planetary Qualifier Yuma

melee.gg
Planetary Limited April 25, 2026 Record 5-2-1 Field 43
Rating after 1,768
+73
Rating before 1,695 RD 115
Rating after 1,768 RD 107
Effective multiplier 1.0× weighted avg
Performance 1,953 vs field +378
Field strength Mean 1,575 · Median 1,552 · 42 rated 46th 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 +40.0 1.0× +0.0 +40.0 1735
Quarterfinals · 1 match 1-0 +23.8 1.12× 1.00 · +0.12 +2.9 +26.7 1760
Semifinals · 1 match 0-1 -12.0 0.73× 1.00 · -0.27 +3.2 -8.7 1750
Top-cut bonus Tier-scaled additive ‧ Planetary at 43 +15.0 1765
Total 5-2-1 +73.0 1768
Biggest upset Beat CheeseKahuna 1827 at 42% odds / surprise +0.58
Costliest loss Lost to _ODIN_WAN_KENOBI_ 1500 at 65% odds / surprise -0.65 / +41 swing

Matches (8)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1500~ _ODIN_WAN_KENOBI_ Loss 65% 0-2 1.0× -26.7 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. Their rating wasn't well-established (RD 250, true skill could span ±500).
R2 1576~ hungh17 Win 60% 2-1 1.0× +17.7 Swiss
R3 1547~ imrahil327 Win 62% 2-1 1.0× +16.6 Swiss
R4 1718 SYC_Intritus Win 48% 2-0 1.0× +23.0 Swiss
Glicko-2 predicted only 48% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.
R5 1500~ Tommycallahan123 Win 65% 2-0 1.0× +14.5 Swiss
R6 1569~ Arteiris Draw 0-0 1.0× ±0.0 Swiss
QF 1827~ CheeseKahuna Win 42% 2-0 1.12× +30.0 Top Cut
Glicko-2 predicted only 42% 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 130, true skill could span ±260).
Semis 1926~ Spencer Freeman Loss 37% 0-2 0.73× -10.1 Top Cut
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