Daniel Holtzinger at Planetary Qualifier Budapest

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Planetary Premier February 08, 2026 Record 7-1-2 Field 71
Rating after 1,957
+54
Rating before 1,903 RD 91
Rating after 1,957 RD 90
Effective multiplier 0.95× weighted avg
Performance 2,127 vs field +594
Field strength Mean 1,533 · Median 1,500 · 71 rated 19th Percentile Planetaries, 2026 Q1

// 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
Phase Record Raw Δ Multiplier Bonus Applied Running
Swiss · 7 matches 5-0-2 +24.8 1.0× +0.0 +24.8 1928
Quarterfinals · 1 match 1-0 +12.9 1.12× 1.00 · +0.12 +1.5 +14.5 1942
Semifinals · 1 match 1-0 +10.0 1.18× 1.00 · +0.18 +1.8 +11.8 1953
Finals · 1 match 0-1 -18.7 0.65× 1.00 · -0.35 +6.5 -12.1 1939
Top-cut bonus Tier-scaled additive ‧ Planetary at 71 +15.0 1954
Total 7-1-2 +53.9 1957
Biggest upset Beat undefined 1916 at 51% odds / surprise +0.49
Costliest loss Lost to LakatosZoltan 1616 at 76% odds / surprise -0.76 / +23 swing

Matches (10)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1592~ PatrikTheHun Win 74% 2-0 1.0× +7.3 Swiss
R2 1500~ Tamás Nagygyőr Win 78% 1-0 1.0× +5.8 Swiss
R3 1616 LakatosZoltan Draw 73% 1-1 1.0× -6.4 Swiss
R4 1567~ Bence Kovács Win 75% 2-0 1.0× +6.9 Swiss
R5 1487~ Márton Fehér Win 80% 2-1 1.0× +5.6 Swiss
R6 1619~ cabinho96 Win 72% 1-0 1.0× +7.8 Swiss
R7 1740 Győző Vincze Draw 0-0 1.0× ±0.0 Swiss
QF 1916 undefined Win 51% 2-1 1.12× +16.3 Top Cut
Semis 1740 Győző Vincze Win 67% 2-1 1.18× +12.2 Top Cut
Finals 1616 LakatosZoltan Loss 76% 0-2 0.65× -13.4 Top Cut
Glicko-2 predicted 76% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.
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