SauronOp at Planetary Qualifier Oviedo

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Planetary Premier April 25, 2026 Record 3-3-0 Field 44

Rating after 1,509

Rating before 1,500 RD 250

Rating after 1,509 RD 177

Effective multiplier 1.0×

Performance 1,524

Field strength Mean 1,545 · Median 1,519 · 44 rated

// 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.

Shape D top-cut adjustments QF SF F Wins +0.12 +0.18 +0.25 Losses -0.18 -0.27 -0.35

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.

Start 1500 → Swiss 1509 +8.7

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 →

Swiss · 6 matches 3-3 +8.7 1.0× +0.0 +8.7 1509

Total 3-3-0 +8.7 1509

Biggest upset Beat Sergio1975 1667 at 36% odds / surprise +0.64

Costliest loss Lost to Damvla 1460 at 53% odds / surprise -0.53 /

Matches (6)

R1 Sergio1975 Win 2-0 1.0× +116.4 Swiss

Glicko-2 predicted only 36% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R2 Farreli Loss 0-2 1.0× Swiss

R3 Battosai13 Win 2-1 1.0× +62.8 Swiss

R4 DavidAlvarez Loss 0-2 1.0× Swiss

R5 Damvla Loss 1-2 1.0× Swiss

Glicko-2 predicted 53% 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 125, true skill could span ±250).

R6 Mateja Win 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).