Rankings / captWes / Planetary Qualifier Montreal

captWes at Planetary Qualifier Montreal

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Planetary Premier April 25, 2026 Record 1-6-0 Field 82
Rating after 1,291
-209
Rating before 1,500 RD 250
Rating after 1,291 RD 172
Effective multiplier 1.0× weighted avg
Performance 1,006 vs field -573
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 1-6 -208.6 1.0× +0.0 -208.6 1291
Total 1-6-0 -208.6 1291
Biggest upset Beat Cocodelmundo 1500 at 50% odds / surprise +0.5
Costliest loss Lost to GarmBelIblis 1458 at 54% odds / surprise -0.54 / +180 swing

Matches (7)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1610~ bs45 Loss 41% 0-2 1.0× -73.4 Swiss
R2 1500~ ValP10 Loss 50% 0-2 1.0× -85.1 Swiss
Glicko-2 predicted 50% 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 1780 RFrancisR Loss 28% 1-2 1.0× -51.9 Swiss
R4 1610 OMG Loss 41% 0-2 1.0× -74.0 Swiss
R5 ▼ 1458 GarmBelIblis Loss 54% 1-2 1.0× -96.3 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.
R6 ▲ 1500~ Cocodelmundo Win 50% 2-0 1.0× +85.1 Swiss
Glicko-2 predicted only 50% 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).
R7 1500~ AntPha9 Loss 50% 0-2 1.0× -85.1 Swiss
Glicko-2 predicted 50% 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).

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.

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