Rankings / Colazel / Planetary Qualifier Montreal

Colazel at Planetary Qualifier Montreal

melee.gg
Planetary Premier April 25, 2026 Record 4-3-0 Field 82
Rating after 1,581
+8
Rating before 1,573 RD 102
Rating after 1,581 RD 94
Effective multiplier 1.0× weighted avg
Performance 1,620 vs field +41
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 4-3 +7.5 1.0× +0.0 +7.5 1581
Total 4-3-0 +7.5 1581
Biggest upset Beat ORA_KillMathy 1662 at 43% odds / surprise +0.57
Costliest loss Lost to Disnard 1343 at 68% odds / surprise -0.68 / +34 swing

Matches (7)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1500~ AntPha9 Win 56% 2-0 1.0× +14.3 Swiss
R2 ▼ 1343~ Disnard Loss 68% 0-2 1.0× -23.2 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 171, true skill could span ±342).
R3 1395~ Glavigne Win 64% 2-0 1.0× +12.1 Swiss
R4 1556 laurent0031 Win 51% 2-1 1.0× +16.9 Swiss
R5 1651~ realready Loss 44% 0-2 1.0× -14.8 Swiss
R6 ▲ 1662 ORA_KillMathy Win 43% 2-1 1.0× +20.1 Swiss
Glicko-2 predicted only 43% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.
R7 1597 ORA_JusDem Loss 48% 0-2 1.0× -16.7 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.