ORA_JusDem at Planetary Qualifier Saint-Hyacinthe

melee.gg

Planetary Premier February 28, 2026 Record 5-2-0 Field 68

Rating after 1,597

+128

Rating before 1,469 RD 133

Rating after 1,597 RD 118

Effective multiplier 1.0×

Performance 1,995

Field strength Mean 1,564 · Median 1,540 · 70 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 1469 → Swiss 1597 +128.0

Top Cut Bracket Full bracket on the event page

Quarterfinals

M1nd0v3rM4tt3r 2

Demers06 0

Order514_CT 0

KinJabber 2

Pascal Maynard 1

Awesome_Phil 2

RFrancisR 2

Lowlow17 0

Semifinals

M1nd0v3rM4tt3r 0

KinJabber 2

Awesome_Phil 1

RFrancisR 2

Finals

KinJabber 2

RFrancisR 1

See full bracket on the event page →

Swiss · 7 matches 5-2 +128.0 1.0× +0.0 +128.0 1597

Total 5-2-0 +128.0 1597

Biggest upset Beat Lavarennez 2040 at 13% odds / surprise +0.87

Costliest loss Lost to Order514_CT 1660 at 35% odds / surprise -0.35 /

Matches (7)

R1 Lavarennez Win 2-1 1.0× +51.8 Swiss

Glicko-2 predicted only 13% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R2 Jozzul Win 2-1 1.0× +34.9 Swiss

Glicko-2 predicted only 40% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R3 Order514_T0PLAW Loss 0-2 1.0× Swiss

R4 Order514_Madness Win 2-1 1.0× +33.8 Swiss

Glicko-2 predicted only 41% 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 128, true skill could span ±256).

R5 OMG Win 2-0 1.0× +38.1 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.

R6 Order514_CT Loss 1-2 1.0× Swiss

R7 bs45 Win 2-1 1.0× +32.8 Swiss