Frogdoc at Planetary Qualifier Essen

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

Rating after 1,564

-54

Rating before 1,617 RD 146

Rating after 1,564 RD 124

Effective multiplier 1.0×

Performance 1,440

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 1617 → Swiss 1564 -53.7

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 3-4 -53.7 1.0× +0.0 -53.7 1564

Total 3-4-0 -53.7 1564

Biggest upset Beat EW_Tobik 1707 at 43% odds / surprise +0.57

Costliest loss Lost to Diddi6986 1324 at 73% odds / surprise -0.73 /

Matches (7)

R1 RustySynapse Loss 1-2 1.0× Swiss

Glicko-2 predicted 57% 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 152, true skill could span ±304).

R2 EinfachJan Win 2-1 1.0× +26.2 Swiss

R3 EW_Tobik Win 2-0 1.0× +39.0 Swiss

Glicko-2 predicted only 43% 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 143, true skill could span ±285).

R4 DarthTatlises Win 2-1 1.0× +27.6 Swiss

R5 DEschain Loss 0-2 1.0× Swiss

Glicko-2 predicted 65% 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 129, true skill could span ±257).

R6 Urlok Loss 1-2 1.0× Swiss

R7 Diddi6986 Loss 1-2 1.0× Swiss

Glicko-2 predicted 73% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.