Sures at Planetary Qualifier Essen

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

Rating after 1,589

+14

Rating before 1,576 RD 81

Rating after 1,589 RD 78

Effective multiplier 1.0×

Performance 1,700

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 1576 → Swiss 1589 +13.5

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 +13.5 1.0× +0.0 +13.5 1589

Total 4-3-0 +13.5 1589

Biggest upset Beat Suardo_TCT 1994 at 19% odds / surprise +0.81

Costliest loss Lost to xBosco 1317 at 70% odds / surprise -0.7 /

Matches (7)

R1 ertlheimer Win 2-1 1.0× +6.4 Swiss

R2 Suardo_TCT Win 2-1 1.0× +18.7 Swiss

Glicko-2 predicted only 19% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R3 yungpope_TDM Loss 1-2 1.0× Swiss

R4 ChrisCunning Win 2-1 1.0× +14.7 Swiss

Glicko-2 predicted only 36% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R5 xBosco Loss 0-2 1.0× Swiss

Glicko-2 predicted 70% 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 132, true skill could span ±264).

R6 nWo_DerAmberg Win 2-0 1.0× +11.6 Swiss

Glicko-2 predicted only 49% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R7 CCR_RealVeers Loss 0-2 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. Their rating wasn't well-established (RD 127, true skill could span ±255).