Rankings / NXS_frugghi / Planetary Qualifier London

NXS_frugghi at Planetary Qualifier London

melee.gg
Planetary Premier January 11, 2026 Record 4-1-2 Field 54
Rating after 1,854
+22
Rating before 1,832 RD 97
Rating after 1,854 RD 93
Effective multiplier 0.92× weighted avg
Performance 1,873 vs field +333
Field strength Mean 1,540 · Median 1,529 · 54 rated 25th Percentile Planetaries, 2026 Q1

// 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.

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.

Top Cut Bracket Full bracket on the event page
Quarterfinals
Darthsilk_DSP 2
DurW 1
NXS_frugghi 0
Reader_DSP 2
OskarKristensen 2
MinionNumberQ 1
JamesDoering 1
Cortosis_DSP 2
Semifinals
Darthsilk_DSP 1
Reader_DSP 2
OskarKristensen 2
Cortosis_DSP 1
Finals
Reader_DSP 1
OskarKristensen 2
See full bracket on the event page →
Phase Record Raw Δ Multiplier Bonus Applied Running
Swiss · 6 matches 4-0-2 +18.4 1.0× +0.0 +18.4 1850
Quarterfinals · 1 match 0-1 -14.3 0.82× 1.00 · -0.18 +2.6 -11.8 1838
Top-cut bonus Tier-scaled additive ‧ Planetary at 54 +15.0 1853
Total 4-1-2 +21.6 1854
Biggest upset Beat shmoogle 1610 at 68% odds / surprise +0.32
Costliest loss Lost to Reader_DSP 1863 at 49% odds / surprise -0.49 / +32 swing

Matches (7)

Odds is the pre-match win probability the system gave you. Δ is the approximate per-match rating change — Glicko-2 batches matches per phase, so these are intuitive estimates, not the authoritative phase total above.

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1663 kabbage345 Draw 64% 1-1 1.0× -4.5 Swiss
R2 1507~ FF_LordBuckethead Draw 75% 1-1 1.0× -8.0 Swiss
R3 1610 shmoogle Win 68% 2-1 1.0× +10.3 Swiss
R4 1439~ Ben Galpin Win 79% 2-0 1.0× +6.8 Swiss
R5 1500~ arranf Win 74% 2-0 1.0× +7.8 Swiss
R6 1500~ steak Win 74% 2-0 1.0× +7.8 Swiss
QF 1863 Reader_DSP Loss 49% 0-2 0.82× -12.6 Top Cut
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