ORA_JusDem at Planetary Qualifier Montreal

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Planetary Premier December 07, 2025 Record 4-3-0 Field 69

Rating after 1,539

+57

Rating before 1,481 RD 179

Rating after 1,539 RD 144

Effective multiplier 1.0×

Performance 1,639

Field strength Mean 1,587 · Median 1,547 · 68 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 1481 → Swiss 1539 +57.3

Top Cut Bracket Full bracket on the event page

Quarterfinals

Order514_Dinozor 2

Sneany_MythicForce 0

Krehlo_MythicForce 2

Order514_BRUCE 1

Lavarennez 2

Awesome_MTGDG 0

Byrus_MythicForce 2

Felixgoulet 0

Semifinals

Order514_Dinozor 1

Krehlo_MythicForce 2

Lavarennez 2

Byrus_MythicForce 0

Finals

Krehlo_MythicForce 0

Lavarennez 2

See full bracket on the event page →

Swiss · 7 matches 4-3 +57.3 1.0× +0.0 +57.3 1539

Total 4-3-0 +57.3 1539

Biggest upset Beat broche 1929 at 18% odds / surprise +0.82

Costliest loss Lost to ORA_lordraptor 1439 at 54% odds / surprise -0.54 /

Matches (7)

R1 whiteshado Loss 0-2 1.0× Swiss

R2 ORA_lordraptor Loss 1-2 1.0× Swiss

Glicko-2 predicted 54% 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 145, true skill could span ±291).

R3 Thierry Bertin Win 2-0 1.0× +48.1 Swiss

Glicko-2 predicted only 49% 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 broche Win 2-1 1.0× +83.6 Swiss

Glicko-2 predicted only 18% 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 140, true skill could span ±280).

R5 Zedd77 Loss 0-2 1.0× Swiss

R6 GarmBelIblis Win 2-0 1.0× +52.0 Swiss

Glicko-2 predicted only 47% 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 150, true skill could span ±300).

R7 Becstor Win 2-0 1.0× +35.0 Swiss