Order514_Madness at Planetary Qualifier Montreal

melee.gg

Planetary Premier April 25, 2026 Record 4-3-0 Field 82

Rating after 1,603

+20

Rating before 1,582 RD 115

Rating after 1,603 RD 104

Effective multiplier 1.0×

Performance 1,686

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 1582 → Swiss 1603 +20.4

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 · 7 matches 4-3 +20.4 1.0× +0.0 +20.4 1603

Total 4-3-0 +20.4 1603

Biggest upset Beat RFrancisR 1780 at 34% odds / surprise +0.66

Costliest loss Lost to ElliotA 1500 at 56% odds / surprise -0.56 /

Matches (7)

R1 laurent0031 Loss 0-2 1.0× Swiss

Glicko-2 predicted 52% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.

R2 RFrancisR Win 2-1 1.0× +29.2 Swiss

Glicko-2 predicted only 34% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R3 M1nd0v3rM4tt3r Loss 1-2 1.0× Swiss

R4 ElliotA 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 250, true skill could span ±500).

R5 Cocodelmundo Win 2-0 1.0× +17.8 Swiss

R6 Kalad Win 2-0 1.0× +14.6 Swiss

R7 suspect Win 2-1 1.0× +21.8 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 141, true skill could span ±282).