Flowman at Planetary Qualifier Oviedo

melee.gg
Planetary Premier April 25, 2026 Record 4-2-0 Field 44
Rating after 1,603
+55
Rating before 1,548 RD 156
Rating after 1,603 RD 133
Effective multiplier 1.0× weighted avg
Performance 1,747 vs field +202
Field strength Mean 1,545 · Median 1,519 · 44 rated 14th 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 4-2 +54.9 1.0× +0.0 +54.9 1603
Total 4-2-0 +54.9 1603
Biggest upset Beat Gorka 1704 at 37% odds / surprise +0.63
Costliest loss Lost to McLion34 1425 at 60% odds / surprise -0.6 / +76 swing

Matches (6)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1460~ Damvla Loss 57% 1-2 1.0× -44.5 Swiss
Glicko-2 predicted 57% 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 125, true skill could span ±250).
R2 1425~ McLion34 Loss 60% 0-2 1.0× -45.3 Swiss
Glicko-2 predicted 60% 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 186, true skill could span ±372).
R3 1500~ jorsot4 Win 54% 2-0 1.0× +33.6 Swiss
R4 1472~ JaiQT Win 56% 2-1 1.0× +33.7 Swiss
R5 1704 Gorka Win 37% 2-1 1.0× +49.4 Swiss
Glicko-2 predicted only 37% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.
R6 1636 Taelos Win 43% 2-0 1.0× +44.9 Swiss
Glicko-2 predicted only 43% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.
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