Rankings / leninegz / Planetary Qualifier Oviedo

leninegz at Planetary Qualifier Oviedo

melee.gg
Planetary Premier April 25, 2026 Record 3-2-1 Field 44
Rating after 1,598
+15
Rating before 1,584 RD 106
Rating after 1,598 RD 101
Effective multiplier 1.0× weighted avg
Performance 1,700 vs field +155
Field strength Mean 1,545 · Median 1,519 · 44 rated 14th Percentile Planetaries, 2026 Q2

// 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
JAEstwald 1
Diego-jr 2
Loira 2
Farreli 0
Evilcloud 0
miguividal 2
Fuegoscuro86 2
McLion34 1
Semifinals
Diego-jr 0
Loira 2
miguividal 2
Fuegoscuro86 1
Finals
Loira 2
miguividal 1
See full bracket on the event page →
Phase Record Raw Δ Multiplier Bonus Applied Running
Swiss · 6 matches 3-2-1 +14.9 1.0× +0.0 +14.9 1598
Total 3-2-1 +14.9 1598
Biggest upset Beat SSB_Lier 1695 at 41% odds / surprise +0.59
Costliest loss Lost to DiegoAguiar 1500 at 56% odds / surprise -0.56 / +35 swing

Matches (6)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1500~ Mateja Win 56% 2-1 1.0× +15.4 Swiss
R2 ▼ 1500~ DiegoAguiar Loss 56% 0-2 1.0× -20.0 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. Their rating wasn't well-established (RD 250, true skill could span ±500).
R3 1652 JaviHT Draw — 0-0 1.0× ±0.0 Swiss
R4 1500~ tiradeljoystick Win 56% 2-0 1.0× +15.4 Swiss
R5 1652 Loira Loss 44% 0-2 1.0× -16.9 Swiss
R6 ▲ 1695 SSB_Lier Win 41% 2-1 1.0× +22.8 Swiss
Glicko-2 predicted only 41% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

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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