Wojciech Bajger at Planetary Qualifier Warsaw

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Planetary Premier April 19, 2026 Record 4-2-0 Field 63

Rating after 1,705

+39

Rating before 1,666 RD 104

Rating after 1,705 RD 98

Effective multiplier 1.0×

Performance 1,967

Field strength Mean 1,594 · Median 1,544 · 63 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 1666 → Swiss 1705 +38.6

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 →

Swiss · 6 matches 4-2 +38.6 1.0× +0.0 +38.6 1705

Total 4-2-0 +38.6 1705

Biggest upset Beat Mikołaj Wendowski 2216 at 13% odds / surprise +0.87

Costliest loss Lost to Bartosz_Sobota 1627 at 53% odds / surprise -0.53 /

Matches (6)

R1 Szavi Win 2-1 1.0× +24.9 Swiss

Glicko-2 predicted only 33% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R2 MikaelPL Loss 0-2 1.0× Swiss

R3 Bartosz_Sobota Loss 0-2 1.0× Swiss

Glicko-2 predicted 53% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.

R4 bxsic Win 2-0 1.0× +8.8 Swiss

R5 Mikołaj Wendowski Win 2-1 1.0× +32.6 Swiss

Glicko-2 predicted only 13% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R6 Kondziuldz Win 2-0 1.0× +9.8 Swiss