nWo_Hanya at Planetary Qualifier Essen

melee.gg

Planetary Premier April 25, 2026 Record 5-2-1 Field 68

Rating after 1,708

+53

Rating before 1,655 RD 75

Rating after 1,708 RD 75

Effective multiplier 0.97×

Performance 1,977

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 1655 → Swiss 1701 +46.1 → Quarterfinals 1692 -9.7 → Top-cut bonus 1707 +15.0

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 · 7 matches 5-1-1 +46.1 1.0× +0.0 +46.1 1701

Quarterfinals · 1 match 0-1 -10.4 0.82× 1.00 · -0.18 +1.9 -8.6 1692

Top-cut bonus Tier-scaled additive ‧ Planetary at 68 +15.0 1707

Total 5-2-1 +52.6 1708

Biggest upset Beat FettFighter 2004 at 24% odds / surprise +0.76

Costliest loss Lost to SoldatF 1555 at 62% odds / surprise -0.62 /

Matches (8)

R1 FatherComstock_TDM Draw 1-1 1.0× +3.4 Swiss

R2 Inusasha Win 2-0 1.0× +7.1 Swiss

R3 undefined Win 2-0 1.0× +14.3 Swiss

Glicko-2 predicted only 29% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R4 FettFighter Win 2-0 1.0× +15.3 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 SpaceGoose_TCT Win 2-1 1.0× +11.3 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 nWo_BoboWanKenobi Loss 1-2 1.0× Swiss

R7 Frosenalex Win 2-0 1.0× +7.3 Swiss

QF SoldatF Loss 0-2 0.82× Top Cut

Glicko-2 predicted 62% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.