TCT_Adrian at Planetary Qualifier Gelsenkirchen

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Planetary Premier September 21, 2025 Record 4-3-0 Field 93
Rating after 1,589
+89
Rating before 1,500 RD 250
Rating after 1,589 RD 174
Effective multiplier 1.0× weighted avg
Performance 1,681 vs field +145
Field strength Mean 1,536 · Median 1,500 · 93 rated 33rd Percentile Planetaries, 2025 Q3

// 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.

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.

Top Cut Bracket Full bracket on the event page
Phase Record Raw Δ Multiplier Bonus Applied Running
Swiss · 7 matches 4-3 +88.7 1.0× +0.0 +88.7 1589
Total 4-3-0 +88.7 1589
Biggest upset Beat SimonNeumann_TcT 1716 at 32% odds / surprise +0.68
Costliest loss Lost to aaronpiet 1377 at 60% odds / surprise -0.6 / +180 swing

Matches (7)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1500~ Udini68 Win 50% 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).
R2 1500~ BoS2 Win 50% 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).
R3 1716 SimonNeumann_TcT Win 32% 2-1 1.0× +125.0 Swiss
Glicko-2 predicted only 32% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.
R4 1592~ DoPaKo Loss 42% 0-2 1.0× -75.8 Swiss
R5 1928 Suardo_TCT Loss 19% 1-2 1.0× -36.3 Swiss
R6 1377~ aaronpiet Loss 60% 0-2 1.0× -108.3 Swiss
Glicko-2 predicted 60% 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 136, true skill could span ±272).
R7 1500~ Mokhir Win 50% 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).
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