Sungazer at Planetary Qualifier Cape Town

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Planetary Premier April 25, 2026 Record 6-1-1 Field 22

Rating after 1,775

+275

Rating before 1,500 RD 250

Rating after 1,775 RD 173

Effective multiplier 0.99×

Clamp Fired

Performance 2,150

Field strength Mean 1,526 · Median 1,500 · 22 rated

// 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.

Shape D top-cut adjustments QF SF F Wins +0.06 +0.09 +0.12 Losses -0.09 -0.14 -0.18

Making cut at this Planetary event adds a flat +8 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.

Start 1500 → Swiss 1779 +279.2 → Quarterfinals 1809 +29.7 → Semifinals 1847 +37.9 → Finals 1803 -43.6 → Top-cut bonus 1811 +8.0

Top Cut Bracket Full bracket on the event page

Quarterfinals

Sungazer 2

RocketLight 0

UnableToWin 2

Adjcass 0

luka8luka 2

TonyFBaby 0

john196 0

Zeyaad Pandey 2

Semifinals

Sungazer 2

UnableToWin 0

luka8luka 0

Zeyaad Pandey 2

Finals

Sungazer 1

Zeyaad Pandey 2

See full bracket on the event page →

Swiss · 5 matches 4-0-1 +279.2 1.0× +0.0 +279.2 1779

Quarterfinals · 1 match 1-0 +31.7 1.06× 1.00 · +0.06 +1.9 +33.6 1809

Semifinals · 1 match 1-0 +43.3 1.09× 1.00 · +0.09 +3.9 +47.2 1847

Finals · 1 match 0-1 -47.4 0.83× 1.00 · -0.18 +8.3 -39.1 1803

Top-cut bonus Tier-scaled additive ‧ Planetary at 22 +8.0 1811

Per-tournament cap · clamped at ±275 Tournament total clipped to keep rating moves plausible +275

Total 6-1-1 +275.0 1775

Biggest upset Beat john196 1677 at 36% odds / surprise +0.64

Costliest loss Lost to Zeyaad Pandey 1825 at 52% odds / surprise -0.52 /

Matches (8)

R1 bolanki Win 2-0 1.0× +74.5 Swiss

R2 UnableToWin Win 2-1 1.0× +100.4 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. Their rating wasn't well-established (RD 169, true skill could span ±338).

R3 TonyFBaby Win 2-0 1.0× +107.3 Swiss

Glicko-2 predicted only 40% 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 153, true skill could span ±307).

R4 john196 Win 2-0 1.0× +116.0 Swiss

Glicko-2 predicted only 36% 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 150, true skill could span ±300).

R5 luka8luka Draw 0-0 1.0× ±0.0 Swiss

QF RocketLight Win 2-0 1.06× +83.4 Top Cut

Semis UnableToWin Win 2-0 1.09× +109.5 Top Cut

Finals Zeyaad Pandey Loss 1-2 0.83× Top Cut

Glicko-2 predicted 52% 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 138, true skill could span ±276).