Rankings / Vicky_MoP / Planetary Qualifier London

Vicky_MoP at Planetary Qualifier London

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Planetary Premier October 19, 2025 Record 3-3-0 Field 55
Rating after 1,554
-4
Rating before 1,558 RD 154
Rating after 1,554 RD 132
Effective multiplier 1.0× weighted avg
Performance 1,545 vs field -16
Field strength Mean 1,561 · Median 1,537 · 55 rated 62nd Percentile Planetaries, 2025 Q4

// 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 0
NeatVermin 2
yehosera 2
NXS_ArthurDDL 0
BigONotation 2
Josh Bayton 0
Callum_DSP 1
Reader_DSP 2
Semifinals
NeatVermin 0
yehosera 2
BigONotation 2
Reader_DSP 1
Finals
yehosera 0
BigONotation 2
See full bracket on the event page →
Phase Record Raw Δ Multiplier Bonus Applied Running
Swiss · 6 matches 3-3 -3.9 1.0× +0.0 -3.9 1554
Total 3-3-0 -3.9 1554
Biggest upset Beat Simon Harvey 1694 at 39% odds / surprise +0.61
Costliest loss Lost to Roganvenom 1407 at 62% odds / surprise -0.62 / +74 swing

Matches (6)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 ▼ 1407~ Roganvenom Loss 62% 1-2 1.0× -46.0 Swiss
Glicko-2 predicted 62% 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 180, true skill could span ±361).
R2 1259~ David_MoP Win 73% 2-0 1.0× +20.4 Swiss
R3 1699 NXS_Emi Loss 38% 0-2 1.0× -29.4 Swiss
R4 1537~ TakeTheBlastHenry Win 52% 2-1 1.0× +35.6 Swiss
R5 ▲ 1694 Simon Harvey Win 39% 2-1 1.0× +47.1 Swiss
Glicko-2 predicted only 39% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.
R6 1645 Kieran_DSP Loss 43% 0-2 1.0× -32.7 Swiss

Per-match multipliers reflect what the engine applied at the time this snapshot was recorded. The Effective Multiplier above is a delta-weighted average across all phases — Finals matches swing the headline more than Swiss rounds when they produced bigger rating changes. How it works.

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