EinfachJan at Planetary Qualifier Essen

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Planetary Premier April 25, 2026 Record 2-5-0 Field 68

Rating after 1,323

-177

Rating before 1,500 RD 250

Rating after 1,323 RD 171

Effective multiplier 1.0×

Performance 1,161

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 1323 -177.1

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 2-5 -177.1 1.0× +0.0 -177.1 1323

Total 2-5-0 -177.1 1323

Biggest upset Beat Telli 1500 at 50% odds / surprise +0.5

Costliest loss Lost to NGNR_TK_23115 1257 at 69% odds / surprise -0.69 /

Matches (7)

R1 IorekByrnison Loss 0-2 1.0× Swiss

Glicko-2 predicted 52% 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 121, true skill could span ±242).

R2 Frogdoc Loss 1-2 1.0× Swiss

R3 ChickenAreEvil_TDM Loss 0-2 1.0× Swiss

R4 Janoshi Win 2-0 1.0× +54.6 Swiss

R5 Telli 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).

R6 Chris7016 Loss 1-2 1.0× Swiss

Glicko-2 predicted 53% 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 121, true skill could span ±241).

R7 NGNR_TK_23115 Loss 1-2 1.0× Swiss

Glicko-2 predicted 69% 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 149, true skill could span ±298).