CoolBowTiesAre at Planetary Qualifier CONROE

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Planetary Premier April 25, 2026 Record 4-2-1 Field 55

Rating after 1,656

+64

Rating before 1,592 RD 119

Rating after 1,656 RD 110

Effective multiplier 0.96×

Performance 1,845

Field strength Mean 1,588 · Median 1,561 · 55 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 1592 → Swiss 1658 +65.4 → Quarterfinals 1640 -17.3 → Top-cut bonus 1655 +15.0

Top Cut Bracket Full bracket on the event page

Quarterfinals

Gungang_Istvan 2

Mark Fichtel 0

CoolBowTiesAre 0

CannedIce 2

marshhhh 0

Gold630 2

vakarian 1

JElliot 2

Semifinals

Gungang_Istvan 2

CannedIce 0

Gold630 2

JElliot 0

Finals

Gungang_Istvan 2

Gold630 0

See full bracket on the event page →

Swiss · 6 matches 4-1-1 +65.4 1.0× +0.0 +65.4 1658

Quarterfinals · 1 match 0-1 -19.7 0.82× 1.00 · -0.18 +3.5 -16.2 1640

Top-cut bonus Tier-scaled additive ‧ Planetary at 55 +15.0 1655

Total 4-2-1 +64.2 1656

Biggest upset Beat ominousquash 1741 at 38% odds / surprise +0.62

Costliest loss Lost to CannedIce 1641 at 51% odds / surprise -0.51 /

Matches (7)

R1 BeccaWilliams Win 2-1 1.0× +16.0 Swiss

R2 Mark Fichtel Win 2-1 1.0× +26.0 Swiss

Glicko-2 predicted only 44% 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 146, true skill could span ±292).

R3 ominousquash Win 2-0 1.0× +28.9 Swiss

Glicko-2 predicted only 38% 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 135, true skill could span ±270).

R4 Gungang_Istvan Loss 1-2 1.0× Swiss

R5 Awnetu Win 2-1 1.0× +17.2 Swiss

R6 vakarian Draw 0-0 1.0× ±0.0 Swiss

QF CannedIce 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.