Goon_Clown007 at Planetary Qualifier Brisbane

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Planetary Premier December 13, 2025 Record 4-3-0 Field 36

Rating after 1,555

+91

Rating before 1,464 RD 147

Rating after 1,555 RD 127

Effective multiplier 0.97×

Performance 1,728

Field strength Mean 1,550 · Median 1,511 · 36 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 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.

Start 1464 → Swiss 1552 +88.2 → Quarterfinals 1539 -13.8 → Top-cut bonus 1554 +15.0

Top Cut Bracket Full bracket on the event page

Quarterfinals

JasD10 2

Goon_Clown007 0

BDST_Ruark 2

Looney525 0

BDST_InfernoFive 2

Josh Parsons 0

Doovelle 0

Goon_Clown_Leader 2

Semifinals

JasD10 2

BDST_Ruark 1

BDST_InfernoFive 2

Goon_Clown_Leader 0

Finals

JasD10 2

BDST_InfernoFive 0

See full bracket on the event page →

Swiss · 6 matches 4-2 +88.2 1.0× +0.0 +88.2 1552

Quarterfinals · 1 match 0-1 -15.0 0.82× 1.00 · -0.18 +2.7 -12.3 1539

Top-cut bonus Tier-scaled additive ‧ Planetary at 36 +15.0 1554

Total 4-3-0 +90.9 1555

Biggest upset Beat Goon_Clown4 1783 at 25% odds / surprise +0.75

Costliest loss Lost to Kirjon 1643 at 35% odds / surprise -0.35 /

Matches (7)

R1 JasD10 Loss 0-2 1.0× Swiss

R2 Ryan Maniam Win 2-1 1.0× +34.1 Swiss

Glicko-2 predicted only 47% 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 Kirjon Loss 1-2 1.0× Swiss

R4 Goon_Clown4 Win 2-1 1.0× +52.3 Swiss

Glicko-2 predicted only 25% 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 124, true skill could span ±248).

R5 Alan Hili Win 2-1 1.0× +34.1 Swiss

R6 brettc Win 2-0 1.0× +31.6 Swiss

QF JasD10 Loss 0-2 0.82× Top Cut