Rawne at Planetary Qualifier Essen

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Planetary Premier April 25, 2026 Record 4-3-0 Field 68

Rating after 1,584

+84

Rating before 1,500 RD 250

Rating after 1,584 RD 170

Effective multiplier 1.0×

Performance 1,663

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 1500 → Swiss 1584 +83.6

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 4-3 +83.6 1.0× +0.0 +83.6 1584

Total 4-3-0 +83.6 1584

Biggest upset Beat Nonamesman 1703 at 34% odds / surprise +0.66

Costliest loss Lost to bartomanix_TDM 1457 at 54% odds / surprise -0.54 /

Matches (7)

R1 bartomanix_TDM Loss 1-2 1.0× Swiss

Glicko-2 predicted 54% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.

R2 RPGKuchen Win 2-1 1.0× +102.3 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.

R3 Revanite 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).

R4 Nonamesman Win 2-1 1.0× +118.0 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 180, true skill could span ±360).

R5 nWo_BoboWanKenobi Loss 1-2 1.0× Swiss

R6 dropkickrob Win 2-1 1.0× +90.8 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.

R7 EW_Ditto Loss 1-2 1.0× Swiss