Zorthak at Planetary Qualifier Montreal

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Planetary Premier April 25, 2026 Record 3-3-1 Field 82
Rating after 1,534
+34
Rating before 1,500 RD 250
Rating after 1,534 RD 172
Effective multiplier 1.0× weighted avg
Performance 1,562 vs field -17
Field strength Mean 1,579 · Median 1,558 · 82 rated 49th 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 · 7 matches 3-3-1 +34.3 1.0× +0.0 +34.3 1534
Total 3-3-1 +34.3 1534
Biggest upset Beat carbonite 1543 at 46% odds / surprise +0.54
Costliest loss Lost to Elkady 1500 at 50% odds / surprise -0.5 / +170 swing

Matches (7)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1528~ WTFxRambo Win 48% 2-0 1.0× +93.6 Swiss
Glicko-2 predicted only 48% 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 141, true skill could span ±283).
R2 1777 Kevin Anctil Loss 28% 1-2 1.0× -52.3 Swiss
R3 1500~ Gounaki 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).
R4 1500~ PBJ12 Draw 50% 1-1 1.0× ±0.0 Swiss
R5 1581~ Zedd77 Loss 43% 1-2 1.0× -76.7 Swiss
R6 1500~ Elkady 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 1543~ carbonite Win 46% 2-1 1.0× +95.5 Swiss
Glicko-2 predicted only 46% 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 147, true skill could span ±294).
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