CCR_Scorekeeper at Planetary Qualifier Osnabrück

melee.gg
Planetary Premier January 04, 2026 Record 3-4-0 Field 106
Rating after 1,470
-30
Rating before 1,500 RD 250
Rating after 1,470 RD 173
Effective multiplier 1.0× weighted avg
Performance 1,461 vs field -105
Field strength Mean 1,566 · Median 1,511 · 106 rated 54th 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 3-4 -29.9 1.0× +0.0 -29.9 1470
Total 3-4-0 -29.9 1470
Biggest upset Beat spectre4 1500 at 50% odds / surprise +0.5
Costliest loss Lost to FoF_TapTapBounce 1457 at 54% odds / surprise -0.54 / +180 swing

Matches (7)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1641 FoF_CediUnlimited Loss 38% 0-2 1.0× -69.7 Swiss
R2 1410~ Deimok Win 57% 2-0 1.0× +75.0 Swiss
R3 1463~ ZenKeeper Loss 53% 1-2 1.0× -93.4 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. Their rating wasn't well-established (RD 179, true skill could span ±358).
R4 1920 vGoet_TcT Loss 19% 0-2 1.0× -37.1 Swiss
R5 1500~ spectre4 Win 50% 2-1 1.0× +85.1 Swiss
Glicko-2 predicted only 50% 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).
R6 1457 FoF_TapTapBounce Loss 54% 0-2 1.0× -96.9 Swiss
Glicko-2 predicted 54% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.
R7 1500~ StefanT Win 50% 2-0 1.0× +85.1 Swiss
Glicko-2 predicted only 50% 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).
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