Sergio1975 at Planetary Qualifier Oviedo

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Planetary Premier April 25, 2026 Record 2-4-0 Field 44
Rating after 1,604
-64
Rating before 1,667 RD 110
Rating after 1,604 RD 103
Effective multiplier 1.0× weighted avg
Performance 1,250 vs field -295
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
Phase Record Raw Δ Multiplier Bonus Applied Running
Swiss · 6 matches 2-4 -63.6 1.0× +0.0 -63.6 1604
Total 2-4-0 -63.6 1604
Biggest upset Beat AbelRM 1509 at 63% odds / surprise +0.37
Costliest loss Lost to Battosai13 1312 at 77% odds / surprise -0.77 / +40 swing

Matches (6)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1500~ SauronOp Loss 63% 0-2 1.0× -23.6 Swiss
Glicko-2 predicted 63% 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).
R2 1500~ Diego-jr Loss 63% 0-2 1.0× -23.6 Swiss
Glicko-2 predicted 63% 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 1500~ IvanBarrio Loss 63% 0-2 1.0× -23.6 Swiss
Glicko-2 predicted 63% 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).
R4 1509 AbelRM Win 63% 2-0 1.0× +15.1 Swiss
R5 1312~ Battosai13 Loss 77% 1-2 1.0× -30.8 Swiss
Glicko-2 predicted 77% 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 152, true skill could span ±304).
R6 1472~ JaiQT Win 66% 2-0 1.0× +13.7 Swiss
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