Lavarennez at Planetary Qualifier Montreal

melee.gg

Planetary Premier April 25, 2026 Record 1-3-0 Field 82

Rating after 1,871

-79

Rating before 1,950 RD 107

Rating after 1,871 RD 104

Effective multiplier 1.0×

Performance 1,213

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 1950 → Swiss 1871 -79.0

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 · 4 matches 1-3 -79.0 1.0× +0.0 -79.0 1871

Total 1-3-0 -79.0 1871

Toughest win Beat darth_waste 1446 at 85% odds

Costliest loss Lost to NicolasMonteilhet 1448 at 84% odds / surprise -0.84 /

Matches (4)

R1 Miranda Ketita Loss 1-2 1.0× Swiss

Glicko-2 predicted 69% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.

R2 NicolasMonteilhet Loss 0-2 1.0× Swiss

Glicko-2 predicted 84% 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 123, true skill could span ±245).

R3 darth_waste Win 2-0 1.0× +6.1 Swiss

R4 ORA_JusDem Loss 1-2 1.0× Swiss

Glicko-2 predicted 77% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.