DavB87 at Planetary Qualifier Montreal

melee.gg
Planetary Premier April 25, 2026 Record 5-3-0 Field 82
Rating after 1,775
+275
Rating before 1,500 RD 250
Rating after 1,775 RD 171
Effective multiplier 0.98× weighted avg
Clamp Fired capped
Performance 1,944 vs field +365
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
Phase Record Raw Δ Multiplier Bonus Applied Running
Swiss · 7 matches 5-2 +312.7 1.0× +0.0 +312.7 1813
Quarterfinals · 1 match 0-1 -42.9 0.82× 1.00 · -0.18 +7.7 -35.2 1776
Top-cut bonus Tier-scaled additive ‧ Planetary at 82 +15.0 1791
Per-tournament cap · clamped at ±275 Tournament total clipped to keep rating moves plausible +275
Total 5-3-0 +275.0 1775
Biggest upset Beat KinJabber 2009 at 15% odds / surprise +0.85
Costliest loss Lost to Krehlo_MythicForce 1874 at 45% odds / surprise -0.45 / +202 swing

Matches (8)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 2009 KinJabber Win 15% 2-0 1.0× +167.3 Swiss
Glicko-2 predicted only 15% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.
R2 1583 François Bousquet Win 43% 2-0 1.0× +103.1 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.
R3 1593~ BennyBlues Loss 42% 1-2 1.0× -75.7 Swiss
R4 1839 M1nd0v3rM4tt3r Win 24% 2-1 1.0× +142.9 Swiss
Glicko-2 predicted only 24% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.
R5 1682~ Christopher Lefrancois Win 35% 2-1 1.0× +115.8 Swiss
Glicko-2 predicted only 35% 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 166, true skill could span ±332).
R6 1813 Order514_Damon Win 26% 2-0 1.0× +139.3 Swiss
Glicko-2 predicted only 26% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.
R7 1874 Krehlo_MythicForce Loss 22% 1-2 1.0× -41.6 Swiss
QF 1874 Krehlo_MythicForce Loss 45% 0-2 0.82× -34.1 Top Cut
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