dropkickrob at Planetary Qualifier Essen

melee.gg

Planetary Premier April 25, 2026 Record 3-3-0 Field 68

Rating after 1,521

+16

Rating before 1,505 RD 114

Rating after 1,521 RD 105

Effective multiplier 1.0×

Performance 1,583

Field strength Mean 1,572 · Median 1,535 · 68 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 1505 → Swiss 1521 +15.9

Top Cut Bracket Full bracket on the event page

Quarterfinals

Laukes 2

spike27 0

nWo_BoboWanKenobi 2

Menicks 1

SoldatF 2

nWo_Hanya 0

Jadimi_TCT 2

venCon 0

Semifinals

Laukes 1

nWo_BoboWanKenobi 2

SoldatF 1

Jadimi_TCT 2

Finals

nWo_BoboWanKenobi 0

Jadimi_TCT 2

See full bracket on the event page →

Swiss · 6 matches 3-3 +15.9 1.0× +0.0 +15.9 1521

Total 3-3-0 +15.9 1521

Biggest upset Beat EW_Tobik 1707 at 34% odds / surprise +0.66

Costliest loss Lost to Rawne 1500 at 50% odds / surprise -0.5 /

Matches (6)

R1 Laukes Loss 1-2 1.0× Swiss

R2 DanSolo Win 2-0 1.0× +23.5 Swiss

Glicko-2 predicted only 46% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R3 DarthTatlises Loss 0-2 1.0× Swiss

R4 EW_Tobik Win 2-0 1.0× +28.7 Swiss

Glicko-2 predicted only 34% 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 RPGKuchen Win 2-0 1.0× +24.6 Swiss

Glicko-2 predicted only 44% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R6 Rawne 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).