Harrison_Solo at Planetary Qualifier Warsaw

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Planetary Premier April 19, 2026 Record 5-2-0 Field 63

Rating after 1,829

+80

Rating before 1,750 RD 125

Rating after 1,829 RD 112

Effective multiplier 0.96×

Performance 2,028

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 1750 → Swiss 1831 +81.7 → Quarterfinals 1813 -17.9 → Top-cut bonus 1828 +15.0

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 →

Swiss · 6 matches 5-1 +81.7 1.0× +0.0 +81.7 1831

Quarterfinals · 1 match 0-1 -20.7 0.82× 1.00 · -0.18 +3.7 -17.0 1813

Top-cut bonus Tier-scaled additive ‧ Planetary at 63 +15.0 1828

Total 5-2-0 +79.7 1829

Biggest upset Beat MikaelPL 1863 at 40% odds / surprise +0.6

Costliest loss Lost to Piotr Jabłoński 1815 at 51% odds / surprise -0.51 /

Matches (7)

R1 Piotr Jabłoński Loss 1-2 1.0× Swiss

R2 Bartek Win 2-1 1.0× +20.3 Swiss

R3 KarkosSWU Win 2-0 1.0× +11.7 Swiss

R4 MikaelPL Win 2-1 1.0× +30.9 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.

R5 Erik Eroth Kaleta Win 2-1 1.0× +30.3 Swiss

Glicko-2 predicted only 42% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R6 Rafał Tarnowski Win 2-0 1.0× +27.8 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.

QF Piotr Jabłoński Loss 0-2 0.82× Top Cut

Glicko-2 predicted 51% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.