realready at Planetary Qualifier Montreal

melee.gg

Planetary Premier April 25, 2026 Record 5-2-1 Field 82

Rating after 1,778

+128

Rating before 1,651 RD 172

Rating after 1,778 RD 139

Effective multiplier 0.97×

Performance 1,963

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 1651 → Swiss 1788 +137.5 → Quarterfinals 1762 -25.8 → Top-cut bonus 1777 +15.0

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 5-1-1 +137.5 1.0× +0.0 +137.5 1788

Quarterfinals · 1 match 0-1 -30.0 0.82× 1.00 · -0.18 +5.4 -24.6 1762

Top-cut bonus Tier-scaled additive ‧ Planetary at 82 +15.0 1777

Total 5-2-1 +127.9 1778

Biggest upset Beat Pascal Maynard 1903 at 30% odds / surprise +0.7

Costliest loss Lost to ORA_lordraptor 1605 at 54% odds / surprise -0.54 /

Matches (8)

R1 RFrancisR Win 2-1 1.0× +57.1 Swiss

Glicko-2 predicted only 39% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R2 Pascal Maynard Win 2-1 1.0× +67.1 Swiss

Glicko-2 predicted only 30% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R3 Louis Gagnon Win 2-0 1.0× +43.4 Swiss

R4 ORA_lordraptor Loss 0-2 1.0× Swiss

Glicko-2 predicted 54% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.

R5 Colazel Win 2-0 1.0× +40.9 Swiss

R6 Obi-Dan Win 2-0 1.0× +31.3 Swiss

R7 Byrus_MythicForce Draw 0-0 1.0× ±0.0 Swiss

QF Byrus_MythicForce Loss 1-2 0.82× Top Cut