Rankings / OMG / Planetary Qualifier Montreal

OMG at Planetary Qualifier Montreal

melee.gg
Planetary Premier April 25, 2026 Record 3-4-0 Field 82
Rating after 1,585
-25
Rating before 1,610 RD 102
Rating after 1,585 RD 95
Effective multiplier 1.0× weighted avg
Performance 1,461 vs field -118
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
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 →
Phase Record Raw Δ Multiplier Bonus Applied Running
Swiss · 7 matches 3-4 -24.8 1.0× +0.0 -24.8 1585
Total 3-4-0 -24.8 1585
Biggest upset Beat captWes 1500 at 59% odds / surprise +0.41
Costliest loss Lost to PBJ12 1500 at 59% odds / surprise -0.59 / +33 swing

Matches (7)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1703 Awesome_Phil Loss 42% 0-2 1.0× -15.0 Swiss
R2 ▼ 1500~ PBJ12 Loss 59% 0-2 1.0× -19.1 Swiss
Glicko-2 predicted 59% 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).
R3 1587~ suspect Loss 52% 0-2 1.0× -18.0 Swiss
Glicko-2 predicted 52% 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 141, true skill could span ±282).
R4 ▲ 1500~ captWes Win 59% 2-0 1.0× +13.5 Swiss
R5 1268~ ORA_MatP94 Win 75% 2-0 1.0× +8.4 Swiss
R6 1500~ Shalako Win 59% 2-0 1.0× +13.5 Swiss
R7 1813 Order514_Zardlin Loss 33% 1-2 1.0× -11.9 Swiss

Per-match multipliers reflect what the engine applied at the time this snapshot was recorded. The Effective Multiplier above is a delta-weighted average across all phases — Finals matches swing the headline more than Swiss rounds when they produced bigger rating changes. How it works.

// keyboard

Shortcuts

Focus search
/
Next row
j
Previous row
k
Open focused row
Enter
Show / hide this panel
?
Close dialogs
Esc

j / k navigate rows on the leaderboard and tournaments index. Arrow keys work too.