DEschain at Planetary Qualifier Essen

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

Rating after 1,518

+85

Rating before 1,434 RD 129

Rating after 1,518 RD 115

Effective multiplier 1.0×

Performance 1,796

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 1434 → Swiss 1518 +84.5

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 +84.5 1.0× +0.0 +84.5 1518

Total 4-3-0 +84.5 1518

Biggest upset Beat ChrisCunning 1744 at 26% odds / surprise +0.74

Matches (7)

R1 ChrisCunning Win 2-0 1.0× +41.1 Swiss

Glicko-2 predicted only 26% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R2 Jadimi_TCT Loss 1-2 1.0× Swiss

R3 CCR_RealVeers Win 2-1 1.0× +31.2 Swiss

Glicko-2 predicted only 42% 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 127, true skill could span ±255).

R4 EW_Zodd Win 2-0 1.0× +31.0 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 177, true skill could span ±355).

R5 Frogdoc Win 2-0 1.0× +34.9 Swiss

Glicko-2 predicted only 35% 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 146, true skill could span ±291).

R6 venCon Loss 1-2 1.0× Swiss

R7 Urlok Loss 1-2 1.0× Swiss