Rankings / Rwodzu / Planetary Qualifier Warsaw

Rwodzu at Planetary Qualifier Warsaw

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Planetary Premier April 19, 2026 Record 3-3-0 Field 63
Rating after 1,560
+15
Rating before 1,544 RD 129
Rating after 1,560 RD 117
Effective multiplier 1.0× weighted avg
Performance 1,620 vs field +26
Field strength Mean 1,594 · Median 1,544 · 63 rated 74th Percentile Planetaries, 2026 Q2

// 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
Quarterfinals
Beton 0
Gibki 2
Jędrzej Sobota 2
DrakonianLord 1
Harrison_Solo 0
Piotr Jabłoński 2
siny 0
Cuendae 2
Semifinals
Gibki 2
Jędrzej Sobota 0
Piotr Jabłoński 2
Cuendae 0
Finals
Gibki 2
Piotr Jabłoński 0
See full bracket on the event page →
Phase Record Raw Δ Multiplier Bonus Applied Running
Swiss · 6 matches 3-3 +15.3 1.0× +0.0 +15.3 1560
Total 3-3-0 +15.3 1560
Biggest upset Beat MikaelPL 1863 at 25% odds / surprise +0.75
Costliest loss Lost to qb 1356 at 65% odds / surprise -0.65 / +53 swing

Matches (6)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1425~ Volver Win 60% 2-1 1.0× +21.6 Swiss
R2 2216 Mikołaj Wendowski Loss 9% 1-2 1.0× -5.2 Swiss
R3 1432 Orka Win 59% 2-1 1.0× +22.2 Swiss
R4 ▼ 1356~ qb Loss 65% 1-2 1.0× -34.6 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 175, true skill could span ±350).
R5 ▲ 1863 MikaelPL Win 25% 2-1 1.0× +41.7 Swiss
Glicko-2 predicted only 25% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.
R6 1544 grzessam Loss 50% 0-2 1.0× -27.4 Swiss

Per-match multipliers reflect what the engine applied at the time this snapshot was recorded. The Effective Multiplier above is a delta-weighted average across all phases — Finals matches swing the headline more than Swiss rounds when they produced bigger rating changes. How it works.

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