Order514_Zardlin at Planetary Qualifier Montreal

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Planetary Premier April 25, 2026 Record 4-3-0 Field 82
Rating after 1,791
-21
Rating before 1,813 RD 80
Rating after 1,791 RD 78
Effective multiplier 1.0× weighted avg
Performance 1,597 vs field +18
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 4-3 -21.1 1.0× +0.0 -21.1 1791
Total 4-3-0 -21.1 1791
Biggest upset Beat Louis Gagnon 1617 at 66% odds / surprise +0.34
Costliest loss Lost to kunshuf 1419 at 78% odds / surprise -0.78 / +21 swing

Matches (7)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1589~ tguiboud Loss 68% 1-2 1.0× -14.6 Swiss
Glicko-2 predicted 68% 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 175, true skill could span ±349).
R2 1318~ Mazesoul Win 84% 2-0 1.0× +3.5 Swiss
R3 1420~ Gharuwill Win 79% 2-0 1.0× +4.7 Swiss
R4 1583 François Bousquet Loss 69% 0-2 1.0× -15.2 Swiss
Glicko-2 predicted 69% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.
R5 1617~ Louis Gagnon Win 66% 2-0 1.0× +7.5 Swiss
R6 1419~ kunshuf Loss 78% 0-2 1.0× -16.2 Swiss
Glicko-2 predicted 78% 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 235, true skill could span ±469).
R7 1610 OMG Win 67% 2-1 1.0× +7.5 Swiss
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