Henteezy at Planetary Qualifier Cape Town

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Planetary Premier April 25, 2026 Record 2-2-1 Field 22

Rating after 1,550

+50

Rating before 1,500 RD 250

Rating after 1,550 RD 190

Effective multiplier 1.0×

Performance 1,620

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 1550 +50.3

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 2-2-1 +50.3 1.0× +0.0 +50.3 1550

Total 2-2-1 +50.3 1550

Biggest upset Beat Luke_C 1596 at 42% odds / surprise +0.58

Costliest loss Lost to Adjcass 1426 at 56% odds / surprise -0.56 /

Matches (5)

R1 Luke_C Win 2-1 1.0× +103.2 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 157, true skill could span ±313).

R2 Adjcass Loss 0-2 1.0× Swiss

Glicko-2 predicted 56% 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 187, true skill could span ±373).

R3 TheMystic Win 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).

R4 luka8luka Loss 0-2 1.0× Swiss

R5 FranscoisdT Draw 1-1 1.0× +11.9 Swiss