Rankings / Awnetu / Planetary Qualifier CONROE

Awnetu at Planetary Qualifier CONROE

melee.gg
Planetary Premier April 25, 2026 Record 3-3-0 Field 55
Rating after 1,473
+41
Rating before 1,432 RD 120
Rating after 1,473 RD 110
Effective multiplier 1.0× weighted avg
Performance 1,644 vs field +56
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
Quarterfinals
Gungang_Istvan 2
Mark Fichtel 0
CoolBowTiesAre 0
CannedIce 2
marshhhh 0
Gold630 2
vakarian 1
JElliot 2
Semifinals
Gungang_Istvan 2
CannedIce 0
Gold630 2
JElliot 0
Finals
Gungang_Istvan 2
Gold630 0
See full bracket on the event page →
Phase Record Raw Δ Multiplier Bonus Applied Running
Swiss · 6 matches 3-3 +40.9 1.0× +0.0 +40.9 1473
Total 3-3-0 +40.9 1473
Biggest upset Beat Jrodlxxv 1754 at 25% odds / surprise +0.75
Costliest loss Lost to CoolBowTiesAre 1592 at 37% odds / surprise -0.37 / +48 swing

Matches (6)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 ▲ 1754 Jrodlxxv Win 25% 2-1 1.0× +36.5 Swiss
Glicko-2 predicted only 25% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.
R2 1524 molaram Win 42% 2-0 1.0× +27.7 Swiss
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.
R3 1745~ CT99AlexanderS Loss 26% 0-2 1.0× -12.4 Swiss
R4 1528~ Undefineddawn Win 42% 2-0 1.0× +27.7 Swiss
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).
R5 ▼ 1592 CoolBowTiesAre Loss 37% 1-2 1.0× -17.7 Swiss
R6 1706 Txlawwhawk Loss 28% 0-2 1.0× -13.7 Swiss

Per-match multipliers reflect what the engine applied at the time this snapshot was recorded. The Effective Multiplier above is a delta-weighted average across all phases — Finals matches swing the headline more than Swiss rounds when they produced bigger rating changes. How it works.

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