Tillmann at Planetary Qualifier Essen

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

Rating after 1,523

+53

Rating before 1,470 RD 82

Rating after 1,523 RD 79

Effective multiplier 1.0×

Performance 1,953

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 1470 → Swiss 1523 +52.7

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 5-2 +52.7 1.0× +0.0 +52.7 1523

Total 5-2-0 +52.7 1523

Biggest upset Beat FatherComstock_TDM 1859 at 21% odds / surprise +0.79

Costliest loss Lost to Laukes 1639 at 36% odds / surprise -0.36 /

Matches (7)

R1 MicW12 Win 2-0 1.0× +13.9 Swiss

Glicko-2 predicted only 39% 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 147, true skill could span ±295).

R2 Mazem Win 2-1 1.0× +11.8 Swiss

Glicko-2 predicted only 48% 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 135, true skill could span ±269).

R3 EW_Zodd Win 2-1 1.0× +12.5 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. Their rating wasn't well-established (RD 177, true skill could span ±355).

R4 Laukes Loss 0-2 1.0× Swiss

R5 Django84_TcT Loss 0-2 1.0× Swiss

R6 FatherComstock_TDM Win 2-0 1.0× +18.6 Swiss

Glicko-2 predicted only 21% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R7 eMTeeHa Win 2-1 1.0× +13.7 Swiss

Glicko-2 predicted only 40% 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 140, true skill could span ±280).