Marcin-ravin78 at Planetary Qualifier Warsaw

melee.gg

Planetary Premier April 19, 2026 Record 3-3-0 Field 63

Rating after 1,198

+71

Rating before 1,126 RD 130

Rating after 1,198 RD 119

Effective multiplier 1.0×

Performance 1,475

Field strength Mean 1,594 · Median 1,544 · 63 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 1126 → Swiss 1198 +71.2

Top Cut Bracket Full bracket on the event page

Quarterfinals

Beton 0

Gibki 2

Jędrzej Sobota 2

DrakonianLord 1

Harrison_Solo 0

Piotr Jabłoński 2

siny 0

Cuendae 2

Semifinals

Gibki 2

Jędrzej Sobota 0

Piotr Jabłoński 2

Cuendae 0

Finals

Gibki 2

Piotr Jabłoński 0

See full bracket on the event page →

Swiss · 6 matches 3-3 +71.2 1.0× +0.0 +71.2 1198

Total 3-3-0 +71.2 1198

Biggest upset Beat Malyszek95 1708 at 12% odds / surprise +0.88

Costliest loss Lost to bxsic 1326 at 34% odds / surprise -0.34 /

Matches (6)

R1 bxsic Loss 1-2 1.0× Swiss

R2 Oyabin Win 2-0 1.0× +38.7 Swiss

Glicko-2 predicted only 31% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R3 Tomasz Napierała Loss 1-2 1.0× Swiss

R4 KarkosSWU Win 2-1 1.0× +37.9 Swiss

Glicko-2 predicted only 30% 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 176, true skill could span ±353).

R5 Malyszek95 Win 2-1 1.0× +49.3 Swiss

Glicko-2 predicted only 12% 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 132, true skill could span ±264).

R6 SergioG4 Loss 0-2 1.0× Swiss