SC_Spylk at Planetary Qualifier Lyon

melee.gg
Planetary Premier October 13, 2024 Record 6-3-0 Field 111
Rating after 1,690
+190
Rating before 1,500 RD 250
Rating after 1,690 RD 163
Effective multiplier 0.98× weighted avg
Performance 1,721 vs field +221
Field strength Mean 1,500 · Median 1,500 · 111 rated 43rd Percentile Planetaries, 2024 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
Phase Record Raw Δ Multiplier Bonus Applied Running
Swiss · 7 matches 5-2 +142.0 1.0× +0.0 +142.0 1642
Quarterfinals · 1 match 1-0 +53.7 1.12× 1.00 · +0.12 +6.4 +60.1 1681
Semifinals · 1 match 0-1 -37.3 0.73× 1.00 · -0.27 +10.1 -27.3 1642
Top-cut bonus Tier-scaled additive ‧ Planetary at 111 +15.0 1657
Total 6-3-0 +189.9 1690
Biggest upset Beat Craaks07 1500 at 50% odds / surprise +0.5
Costliest loss Lost to BN_ioucounoujr 1500 at 64% odds / surprise -0.64 / +163 swing

Matches (9)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1500~ Craaks07 Win 50% 2-1 1.0× +85.1 Swiss
Glicko-2 predicted only 50% 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).
R2 1500~ Meva_Bidibos Win 50% 2-1 1.0× +85.1 Swiss
Glicko-2 predicted only 50% 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 1500~ Albatar21 Win 50% 2-0 1.0× +85.1 Swiss
Glicko-2 predicted only 50% 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).
R4 1500~ Ahunter Win 50% 2-0 1.0× +85.1 Swiss
Glicko-2 predicted only 50% 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).
R5 1500~ GU_MatthieuSD Win 50% 2-0 1.0× +85.1 Swiss
Glicko-2 predicted only 50% 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).
R6 1500~ BN_MaddieKinabox Loss 50% 1-2 1.0× -85.1 Swiss
Glicko-2 predicted 50% 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).
R7 1500~ SaumonRegal Loss 50% 1-2 1.0× -85.1 Swiss
Glicko-2 predicted 50% 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).
QF 1500~ TheFrenchPalpaTexasRanger Win 61% 2-1 1.12× +95.3 Top Cut
Semis 1500~ BN_ioucounoujr Loss 64% 0-2 0.73× -62.1 Top Cut
Glicko-2 predicted 64% 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).
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