CSteel at Planetary Qualifier Yuma

melee.gg
Planetary Limited April 25, 2026 Record 2-3-1 Field 43
Rating after 1,465
-35
Rating before 1,500 RD 250
Rating after 1,465 RD 179
Effective multiplier 1.0× weighted avg
Performance 1,438 vs field -137
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 2-3-1 -34.7 1.0× +0.0 -34.7 1465
Total 2-3-1 -34.7 1465
Biggest upset Beat Bepsiman 1500 at 50% odds / surprise +0.5
Costliest loss Lost to bhughe05 1451 at 54% odds / surprise -0.54 / +178 swing

Matches (6)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1451~ bhughe05 Loss 54% 0-2 1.0× -96.2 Swiss
Glicko-2 predicted 54% 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 152, true skill could span ±304).
R2 1500~ Bepsiman Win 50% 2-0 1.0× +85.1 Swiss
Glicko-2 predicted only 50% 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 250, true skill could span ±500).
R3 1698~ SYC_AdmiralEwok Draw 34% 1-1 1.0× +29.3 Swiss
R4 1598~ Keniff Loss 42% 0-2 1.0× -74.8 Swiss
R5 1500~ Sturg Loss 50% 0-2 1.0× -85.1 Swiss
Glicko-2 predicted 50% 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).
R6 1500~ TheAmbassador Win 50% 2-1 1.0× +85.1 Swiss
Glicko-2 predicted only 50% 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 250, true skill could span ±500).
// keyboard

Shortcuts

Focus search
/
Next row
j
Previous row
k
Open focused row
Enter
Show / hide this panel
?
Close dialogs
Esc

j / k navigate rows on the leaderboard and tournaments index. Arrow keys work too.