SC_Spylk at Planetary Qualifier Brunoy (Paris)

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Planetary Premier September 07, 2025 Record 2-3-0 Field 127

Rating after 1,854

-28

Rating before 1,882 RD 77

Rating after 1,854 RD 76

Effective multiplier 1.0×

Performance 1,517

Field strength Mean 1,577 · Median 1,557 · 125 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 1882 → Swiss 1854 -28.3

Top Cut Bracket Full bracket on the event page

Quarterfinals

sleeping_wampa 2

Earendil 1

MarcYb 0

BN_ioucounoujr 2

BN_MaddieKinabox 2

Romainx29 0

BN_Diyifei 2

DarthShogun 0

Semifinals

sleeping_wampa 0

BN_ioucounoujr 2

BN_MaddieKinabox 0

BN_Diyifei 2

Finals

BN_ioucounoujr 0

BN_Diyifei 2

See full bracket on the event page →

Swiss · 5 matches 2-3 -28.3 1.0× +0.0 -28.3 1854

Total 2-3-0 -28.3 1854

Biggest upset Beat Lexz 1738 at 62% odds / surprise +0.38

Costliest loss Lost to GG_harisman87 1432 at 82% odds / surprise -0.82 /

Matches (5)

R1 Lexz Win 2-0 1.0× +7.8 Swiss

R2 Basthyen Loss 1-2 1.0× Swiss

Glicko-2 predicted 73% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.

R3 TKB_Darkness Win 2-0 1.0× +6.4 Swiss

R4 EC_Dylis Loss 0-2 1.0× Swiss

Glicko-2 predicted 56% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.

R5 GG_harisman87 Loss 0-2 1.0× Swiss

Glicko-2 predicted 82% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.