Arteiris at Planetary Qualifier Yuma

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Planetary Limited April 25, 2026 Record 5-2-1 Field 43

Rating after 1,685

+116

Rating before 1,569 RD 160

Rating after 1,685 RD 134

Effective multiplier 0.97×

Performance 1,817

Field strength Mean 1,575 · Median 1,552 · 42 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 1569 → Swiss 1654 +84.7 → Quarterfinals 1687 +32.9 → Semifinals 1661 -26.3 → Top-cut bonus 1676 +15.0

Top Cut Bracket Full bracket on the event page

Quarterfinals

Spencer Freeman 2

JonahBR 0

llopez101 2

_ODIN_WAN_KENOBI_ 1

CBG_Taylor 2

CheeseKahuna 0

Arteiris 2

CBG_Ruben 1

Semifinals

Spencer Freeman 2

CBG_Taylor 0

llopez101 2

Arteiris 0

Finals

Spencer Freeman 2

llopez101 1

See full bracket on the event page →

Swiss · 6 matches 4-1-1 +84.7 1.0× +0.0 +84.7 1654

Quarterfinals · 1 match 1-0 +34.3 1.12× 1.00 · +0.12 +4.1 +38.4 1687

Semifinals · 1 match 0-1 -30.7 0.73× 1.00 · -0.27 +8.3 -22.4 1661

Top-cut bonus Tier-scaled additive ‧ Planetary at 43 +15.0 1676

Total 5-2-1 +115.7 1685

Biggest upset Beat WhiteFlex 1678 at 41% odds / surprise +0.59

Costliest loss Lost to llopez101 1563 at 60% odds / surprise -0.6 /

Matches (8)

R1 Maclunkey Win 2-0 1.0× +36.8 Swiss

R2 Tommycallahan123 Loss 0-2 1.0× Swiss

Glicko-2 predicted 55% 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 MagicalSinner Win 2-0 1.0× +31.9 Swiss

R4 Beeb Win 2-0 1.0× +32.0 Swiss

R5 WhiteFlex Win 2-0 1.0× +47.7 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. Their rating wasn't well-established (RD 152, true skill could span ±304).

R6 CBG_Taylor Draw 0-0 1.0× ±0.0 Swiss

QF CBG_Ruben Win 2-1 1.12× +49.3 Top Cut

Semis llopez101 Loss 0-2 0.73× Top Cut

Glicko-2 predicted 60% 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).