NicolasMonteilhet at Planetary Qualifier Montreal

melee.gg

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

Rating after 1,477

+30

Rating before 1,448 RD 123

Rating after 1,477 RD 111

Effective multiplier 1.0×

Performance 1,592

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 1448 → Swiss 1477 +29.6

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 3-4 +29.6 1.0× +0.0 +29.6 1477

Total 3-4-0 +29.6 1477

Biggest upset Beat Lavarennez 1950 at 15% odds / surprise +0.85

Costliest loss Lost to ValP10 1500 at 46% odds / surprise -0.46 /

Matches (7)

R1 Krehlo_MythicForce Loss 1-2 1.0× Swiss

R2 Lavarennez Win 2-0 1.0× +43.0 Swiss

Glicko-2 predicted only 15% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R3 bs45 Win 2-0 1.0× +31.1 Swiss

Glicko-2 predicted only 37% 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 143, true skill could span ±285).

R4 Order514_BRUCE Loss 0-2 1.0× Swiss

R5 ValP10 Loss 0-2 1.0× Swiss

R6 Miranda Ketita Loss 0-2 1.0× Swiss

R7 LouisValiquette Win 2-0 1.0× +25.0 Swiss

Glicko-2 predicted only 46% 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).