JonahBR at Planetary Qualifier Yuma

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Planetary Limited April 25, 2026 Record 4-2-1 Field 43

Rating after 1,696

+109

Rating before 1,588 RD 152

Rating after 1,696 RD 133

Effective multiplier 0.98×

Performance 1,930

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 1588 → Swiss 1695 +107.0 → Quarterfinals 1680 -15.1 → Top-cut bonus 1695 +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 +107.0 1.0× +0.0 +107.0 1695

Quarterfinals · 1 match 0-1 -16.4 0.82× 1.00 · -0.18 +2.9 -13.4 1680

Top-cut bonus Tier-scaled additive ‧ Planetary at 43 +15.0 1695

Total 4-2-1 +108.5 1696

Biggest upset Beat SYC_AdmiralEwok 1698 at 41% odds / surprise +0.59

Costliest loss Lost to Spencer Freeman 1926 at 32% odds / surprise -0.32 /

Matches (7)

R1 SYC_AdmiralEwok Win 2-0 1.0× +43.9 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 122, true skill could span ±244).

R2 Nauk Win 2-0 1.0× +41.9 Swiss

Glicko-2 predicted only 43% 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).

R3 Spencer Freeman Loss 1-2 1.0× Swiss

R4 bhughe05 Win 2-1 1.0× +28.5 Swiss

R5 ShazamPowers Win 2-1 1.0× +34.7 Swiss

R6 CBG_Ruben Draw 0-0 1.0× ±0.0 Swiss

QF Spencer Freeman Loss 0-2 0.82× Top Cut