EM_Fenix at Planetary Qualifier Madrid

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Planetary Premier September 14, 2025 Record 3-4-0 Field 120

Rating after 1,346

+20

Rating before 1,325 RD 132

Rating after 1,346 RD 117

Effective multiplier 1.0×

Performance 1,419

Field strength Mean 1,563 · Median 1,521 · 118 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 1325 → Swiss 1346 +20.1

Top Cut Bracket Full bracket on the event page

Quarterfinals

FA_Nightbryd 2

shadowblade 0

LorenzoM 2

JoaquinSM 1

tarkin84 2

TGB_Romaero 1

Xexu 2

Adryano001 1

Semifinals

FA_Nightbryd 2

LorenzoM 0

tarkin84 2

Xexu 0

Finals

FA_Nightbryd 0

tarkin84 2

See full bracket on the event page →

Swiss · 7 matches 3-4 +20.1 1.0× +0.0 +20.1 1346

Total 3-4-0 +20.1 1346

Biggest upset Beat Jaime98 1581 at 30% odds / surprise +0.7

Costliest loss Lost to SMG_Xploo 1266 at 55% odds / surprise -0.55 /

Matches (7)

R1 CM_enriqueolles Loss 1-2 1.0× Swiss

R2 Fulkrum Win 2-1 1.0× +33.5 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 250, true skill could span ±500).

R3 SMG_Xploo Loss 0-2 1.0× Swiss

Glicko-2 predicted 55% 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 197, true skill could span ±394).

R4 Jaime98 Win 2-0 1.0× +39.6 Swiss

Glicko-2 predicted only 30% 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).

R5 antiv290 Loss 1-2 1.0× Swiss

R6 TeresaRCdL Win 2-0 1.0× +23.9 Swiss

R7 CM_Psiseco Loss 1-2 1.0× Swiss