Adjcass at Planetary Qualifier Cape Town

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Planetary Premier April 25, 2026 Record 3-2-1 Field 22

Rating after 1,532

+106

Rating before 1,426 RD 187

Rating after 1,532 RD 159

Effective multiplier 0.98×

Performance 1,738

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 1426 → Swiss 1556 +129.4 → Quarterfinals 1519 -36.1 → Top-cut bonus 1527 +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 3-1-1 +129.4 1.0× +0.0 +129.4 1556

Quarterfinals · 1 match 0-1 -34.6 0.91× 1.00 · -0.09 +3.1 -31.5 1519

Top-cut bonus Tier-scaled additive ‧ Planetary at 22 +8.0 1527

Total 3-2-1 +106.0 1532

Biggest upset Beat Joshua Pietersen 1500 at 44% odds / surprise +0.56

Toughest win Beat Henteezy 1500 at 44% odds

Costliest loss Lost to UnableToWin 1581 at 48% odds / surprise -0.48 /

Matches (6)

R1 RocketLight Win 2-0 1.0× +53.4 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 157, true skill could span ±313).

R2 Henteezy Win 2-0 1.0× +56.4 Swiss

Glicko-2 predicted only 44% 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 luka8luka Loss 0-2 1.0× Swiss

R4 Joshua Pietersen Win 2-0 1.0× +58.7 Swiss

R5 john196 Draw 0-0 1.0× ±0.0 Swiss

QF UnableToWin Loss 0-2 0.91× Top Cut