STK_Alexandre at Planetary Qualifier São Paulo 3

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Planetary Premier February 14, 2026 Record 2-5-0 Field 106

Rating after 1,341

-103

Rating before 1,444 RD 199

Rating after 1,341 RD 152

Effective multiplier 1.0×

Performance 1,184

Field strength Mean 1,520 · Median 1,500 · 107 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 1444 → Swiss 1341 -103.2

Top Cut Bracket Full bracket on the event page

Quarterfinals

SR_helimateus 0

Rocha 2

JARS_MatheusAlves 2

JARS_Thoto 0

Coletta 0

Felipe Abreu 2

JARS_Savanini 2

Suino 0

Semifinals

Rocha 1

JARS_MatheusAlves 2

Felipe Abreu 0

JARS_Savanini 2

Finals

JARS_MatheusAlves 2

JARS_Savanini 0

See full bracket on the event page →

Swiss · 7 matches 2-5 -103.2 1.0× +0.0 -103.2 1341

Total 2-5-0 -103.2 1341

Biggest upset Beat backflipe 1500 at 46% odds / surprise +0.54

Costliest loss Lost to LuizJNR 1311 at 61% odds / surprise -0.61 /

Matches (7)

R1 Murlok Loss 0-2 1.0× Swiss

R2 LuizJNR Loss 0-2 1.0× Swiss

Glicko-2 predicted 61% 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 155, true skill could span ±310).

R3 backflipe Win 2-0 1.0× +61.6 Swiss

Glicko-2 predicted only 46% 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).

R4 TDBst_Diego12 Win 2-1 1.0× +55.1 Swiss

R5 Sidney Loss 1-2 1.0× Swiss

R6 JARS_Delphox Loss 0-2 1.0× Swiss

R7 TDBst_GLViana Loss 0-2 1.0× Swiss

Glicko-2 predicted 56% 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 147, true skill could span ±294).