SC_Spylk at Planetary Qualifier Paris

melee.gg

Planetary Premier June 29, 2025 Record 5-2-0 Field 95

Rating after 1,952

Rating before 1,950 RD 89

Rating after 1,952 RD 85

Effective multiplier 1.0×

Performance 1,967

Field strength Mean 1,549 · Median 1,500 · 90 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 1952 +1.9

Top Cut Bracket Full bracket on the event page

Quarterfinals

Keau 2

SWU_IsADeadGame_xD 1

ADB_RemiWanKenobi 1

BN_MaddieKinabox 2

BN_ioucounoujr 2

NO_Jeremew 0

SC_louloup 0

Gaabz 2

Semifinals

Keau 2

BN_MaddieKinabox 1

BN_ioucounoujr 2

Gaabz 0

Finals

Keau 0

BN_ioucounoujr 2

See full bracket on the event page →

Swiss · 7 matches 5-2 +1.9 1.0× +0.0 +1.9 1952

Total 5-2-0 +1.9 1952

Biggest upset Beat BEO_Zahaphael 1920 at 53% odds / surprise +0.47

Costliest loss Lost to Gaabz 1768 at 65% odds / surprise -0.65 /

Matches (7)

R1 BEO_Fractale Win 2-0 1.0× +6.7 Swiss

R2 Fred57155 Win 2-0 1.0× +4.5 Swiss

R3 BEO_Voilou Win 2-1 1.0× +8.9 Swiss

R4 SC_louloup Loss 0-2 1.0× Swiss

Glicko-2 predicted 60% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.

R5 Gaabz Loss 0-2 1.0× Swiss

Glicko-2 predicted 65% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.

R6 Svenleviking83 Win 2-0 1.0× +3.5 Swiss

R7 BEO_Zahaphael Win 2-1 1.0× +13.0 Swiss