brettc at Planetary Qualifier Wynnum

melee.gg

Planetary Premier April 26, 2026 Record 4-2-1

Rating after 1,543

+91

Rating before 1,452 RD 137

Rating after 1,543 RD 123

Effective multiplier 0.98×

Performance 1,841

Field strength Mean 1,564 · Median 1,551 · 48 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 +0.12 +0.18 +0.25 Losses -0.18 -0.27 -0.35

Making cut never costs you net rating — the made-cut floor pins the tournament delta to ≥ 0.

Start 1452 → Swiss 1556 +103.7 → Quarterfinals 1541 -14.9

Top Cut Bracket Full bracket on the event page

Quarterfinals

Rookie2222 0

Doovelle 2

BDST_Zerolimit 2

Lily Hill 0

ThatsFine 0

BDST_Tivey 2

cayliss 2

brettc 1

Semifinals

Doovelle 2

BDST_Zerolimit 1

BDST_Tivey 2

cayliss 1

Finals

Doovelle 0

BDST_Tivey 2

See full bracket on the event page →

Swiss · 6 matches 4-1-1 +103.7 1.0× +0.0 +103.7 1556

Quarterfinals · 1 match 0-1 -15.9 0.82× 1.00 · -0.18 +2.9 -13.0 1541

Total 4-2-1 +90.7 1543

Biggest upset Beat JasD10 1920 at 17% odds / surprise +0.83

Costliest loss Lost to Rookie2222 1538 at 43% odds / surprise -0.43 /

Matches (7)

R1 Alex42 Win 2-0 1.0× +30.6 Swiss

Glicko-2 predicted only 46% 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).

R2 JasD10 Win 2-1 1.0× +52.0 Swiss

Glicko-2 predicted only 17% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R3 Alan Hili Win 2-1 1.0× +30.7 Swiss

Glicko-2 predicted only 49% 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 151, true skill could span ±302).

R4 Rookie2222 Loss 1-2 1.0× Swiss

R5 Goon_Clown007 Win 2-0 1.0× +35.6 Swiss

Glicko-2 predicted only 41% 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 132, true skill could span ±264).

R6 BDST_Zerolimit Draw 0-0 1.0× ±0.0 Swiss

QF cayliss Loss 1-2 0.82× Top Cut