Diddi6986 at Planetary Qualifier Essen

melee.gg
Planetary Premier April 25, 2026 Record 4-3-0 Field 68
Rating after 1,368
+44
Rating before 1,324 RD 93
Rating after 1,368 RD 89
Effective multiplier 1.0× weighted avg
Performance 1,641 vs field +69
Field strength Mean 1,572 · Median 1,535 · 68 rated 42nd Percentile Planetaries, 2026 Q2

// 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 4-3 +43.7 1.0× +0.0 +43.7 1368
Total 4-3-0 +43.7 1368
Biggest upset Beat Frogdoc 1617 at 27% odds / surprise +0.73
Costliest loss Lost to TomDuc 1356 at 47% odds / surprise -0.47 / +29 swing

Matches (7)

Round HRI Opponent Result Odds Game W-L Multiplier Δ Type
R1 1923 Django84_TcT Loss 11% 0-1 1.0× -3.5 Swiss
R2 1356~ TomDuc Loss 47% 0-2 1.0× -13.7 Swiss
R3 1551 DanSolo Loss 32% 0-2 1.0× -9.4 Swiss
R4 1366~ NGNR_Phorlo Win 47% 2-1 1.0× +15.7 Swiss
Glicko-2 predicted only 47% 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 140, true skill could span ±280).
R5 1572~ LuckyJoe1909 Win 31% 2-0 1.0× +20.0 Swiss
Glicko-2 predicted only 31% 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 181, true skill could span ±362).
R6 1475~ IorekByrnison Win 38% 2-1 1.0× +18.5 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 121, true skill could span ±242).
R7 1617~ Frogdoc Win 27% 2-1 1.0× +21.4 Swiss
Glicko-2 predicted only 27% 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 ±291).
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