AntPha9 at Planetary Qualifier Montreal

melee.gg

Planetary Premier April 25, 2026 Record 1-5-0 Field 82

Rating after 1,273

-227

Rating before 1,500 RD 250

Rating after 1,273 RD 181

Effective multiplier 1.0×

Performance 959

Field strength Mean 1,579 · Median 1,558 · 82 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 1500 → Swiss 1273 -226.7

Top Cut Bracket Full bracket on the event page

Quarterfinals

Krehlo_MythicForce 2

DavB87 0

Byrus_MythicForce 2

realready 1

Guacamol 0

Order514_Dinozor 2

Kevin Anctil 2

BennyBlues 0

Semifinals

Krehlo_MythicForce 2

Byrus_MythicForce 0

Order514_Dinozor 2

Kevin Anctil 1

Finals

Krehlo_MythicForce 1

Order514_Dinozor 2

See full bracket on the event page →

Swiss · 6 matches 1-5 -226.7 1.0× +0.0 -226.7 1273

Total 1-5-0 -226.7 1273

Biggest upset Beat captWes 1500 at 50% odds / surprise +0.5

Costliest loss Lost to Order514_Trepan 1200 at 73% odds / surprise -0.73 /

Matches (6)

R1 Colazel Loss 0-2 1.0× Swiss

R2 Order514_T0PLAW Loss 0-2 1.0× Swiss

R3 Mazesoul Loss 0-2 1.0× Swiss

Glicko-2 predicted 65% 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 141, true skill could span ±282).

R4 Rorschach87 Loss 1-2 1.0× Swiss

Glicko-2 predicted 50% 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 250, true skill could span ±500).

R6 Order514_Trepan Loss 0-2 1.0× Swiss

Glicko-2 predicted 73% 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 131, true skill could span ±262).

R7 captWes Win 2-0 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).