Miranda Ketita at Planetary Qualifier Montreal

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Planetary Premier April 25, 2026 Record 3-4-0 Field 82

Rating after 1,679

-34

Rating before 1,713 RD 109

Rating after 1,679 RD 101

Effective multiplier 1.0×

Performance 1,503

Field strength Mean 1,579 · Median 1,558 · 82 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 1713 → Swiss 1679 -34.0

Top Cut Bracket Full bracket on the event page

Quarterfinals

Krehlo_MythicForce 2

DavB87 0

Byrus_MythicForce 2

realready 1

Guacamol 0

Order514_Dinozor 2

Kevin Anctil 2

BennyBlues 0

Semifinals

Krehlo_MythicForce 2

Byrus_MythicForce 0

Order514_Dinozor 2

Kevin Anctil 1

Finals

Krehlo_MythicForce 1

Order514_Dinozor 2

See full bracket on the event page →

Swiss · 7 matches 3-4 -34.0 1.0× +0.0 -34.0 1679

Total 3-4-0 -34.0 1679

Biggest upset Beat Lavarennez 1950 at 31% odds / surprise +0.69

Costliest loss Lost to kunshuf 1419 at 72% odds / surprise -0.72 /

Matches (7)

R1 Lavarennez Win 2-1 1.0× +27.8 Swiss

Glicko-2 predicted only 31% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R2 kunshuf Loss 0-2 1.0× Swiss

Glicko-2 predicted 72% 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).

R3 ORA_KillMathy Win 2-0 1.0× +18.3 Swiss

R4 Obi-Dan Loss 1-2 1.0× Swiss

Glicko-2 predicted 71% 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 127, true skill could span ±253).

R5 Gounaki Loss 1-2 1.0× Swiss

Glicko-2 predicted 66% 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).

R6 NicolasMonteilhet Win 2-0 1.0× +11.6 Swiss

R7 RFrancisR Loss 1-2 1.0× Swiss