ValP10 at Planetary Qualifier Montreal

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Planetary Premier April 25, 2026 Record 4-3-0 Field 82

Rating after 1,552

+52

Rating before 1,500 RD 250

Rating after 1,552 RD 170

Effective multiplier 1.0×

Performance 1,597

Field strength Mean 1,579 · Median 1,558 · 82 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 1500 → Swiss 1552 +52.3

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 →

Swiss · 7 matches 4-3 +52.3 1.0× +0.0 +52.3 1552

Total 4-3-0 +52.3 1552

Biggest upset Beat bs45 1610 at 41% odds / surprise +0.59

Costliest loss Lost to Fouc 1403 at 58% odds / surprise -0.58 /

Matches (7)

R1 Order514_BRUCE Loss 1-2 1.0× Swiss

R2 captWes Win 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).

R3 Fouc Loss 1-2 1.0× Swiss

Glicko-2 predicted 58% 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 152, true skill could span ±303).

R4 bs45 Win 2-1 1.0× +106.0 Swiss

Glicko-2 predicted only 41% 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 143, true skill could span ±285).

R5 NicolasMonteilhet Win 2-0 1.0× +82.0 Swiss

R6 ORA_Undead Win 2-1 1.0× +84.6 Swiss

R7 Gounaki Loss 1-2 1.0× 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).