kunshuf at Planetary Qualifier Montreal

melee.gg
Planetary Premier April 25, 2026 Record 5-2-0 Field 82
Rating after 1,694
+275
Rating before 1,419 RD 235
Rating after 1,694 RD 172
Effective multiplier 1.0× weighted avg
Clamp Fired capped
Performance 1,977 vs field +398
Field strength Mean 1,579 · Median 1,558 · 82 rated 49th 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 · 7 matches 5-2 +292.7 1.0× +0.0 +292.7 1712
Per-tournament cap · clamped at ±275 Tournament total clipped to keep rating moves plausible +275
Total 5-2-0 +275.0 1694
Biggest upset Beat Pascal Maynard 1903 at 16% odds / surprise +0.84

Matches (7)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1581~ Zedd77 Win 37% 2-0 1.0× +100.4 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. Their rating wasn't well-established (RD 177, true skill could span ±354).
R2 1713 Miranda Ketita Win 27% 2-0 1.0× +121.8 Swiss
Glicko-2 predicted only 27% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.
R3 1708 Guacamol Loss 27% 0-2 1.0× -45.4 Swiss
R4 1682~ Christopher Lefrancois Loss 30% 0-2 1.0× -47.9 Swiss
R5 1403~ Fouc Win 51% 2-1 1.0× +77.7 Swiss
R6 1813 Order514_Zardlin Win 21% 2-0 1.0× +135.9 Swiss
Glicko-2 predicted only 21% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.
R7 1903 Pascal Maynard Win 16% 2-1 1.0× +145.8 Swiss
Glicko-2 predicted only 16% 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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