Rankings / ECL_Reflex / Sector Qualifier Atlanta

ECL_Reflex at Sector Qualifier Atlanta

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Sector Premier April 18, 2026 Record 10-2-2
Rating after 1,983
+45
Rating before 1,939 RD 83
Rating after 1,983 RD 81
Effective multiplier 1.22x delta-weighted

// 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 Sector tier multiplier (1.15×) amplifies every gain and every loss. Top-cut rounds add more on top (Quarterfinals +0.15, Semifinals +0.25, Finals +0.35).

Phase Record Raw Glicko-2 Multiplier Applied Running
Swiss · 11 matches 9-1-1 +40.5 1.15× +46.6 1985
Quarterfinals · 1 match 1-0 +9.8 1.3× +12.7 1998
Semifinals · 1 match 0-1 -12.9 1.4× -18.0 1980
Total 10-2-2 +44.5 1983

Phase numbers use each opponent’s pre-tournament rating (the one shown on the leaderboard). The engine uses the opponent’s rating at the moment of the match — which for top-cut rounds includes their own Swiss performance — so the phase contributions above are approximate for Quarterfinals, Semifinals, and Finals. The Total is the engine’s actual output.

Biggest upset Beat RelicRelic 1926 at 55% odds / surprise +0.45
Costliest loss Lost to Carlos Apodaca 1908 at 58% odds / surprise -0.58 / 1.4×

Matches (14)

Round HRI Opponent Result Odds Game W-L Multiplier Type
R1 1495 Bloozur Win 82% 2-0 1.3x Swiss
R2 1505 slowbad Draw 81% 1-1 1.3x Swiss
R3 1546 davegandy Win 79% 2-1 1.3x Swiss
R4 1799 SupplyandDemAndrew Win 62% 2-0 1.3x Swiss
R5 1431 BenAdkison Win 85% 2-0 1.3x Swiss
R6 1857 NoahG1212 Win 57% 2-0 1.3x Swiss
R7 1389 lukaws Win 87% 2-1 1.3x Swiss
R8 1772 Michael Ashbaugh Win 64% 2-0 1.3x Swiss
R9 2121 ECL_dts Loss 35% 1-2 1.3x Swiss
R10 1715 Nick08 Win 68% 2-0 1.3x Swiss
R11 1831 ECL_Stan Win 59% 2-0 1.3x Swiss
R12 2053 ECL_TylerYork Draw — 0-0 1.3x Swiss
▲ QF 1926 RelicRelic Win 55% 2-1 1.3x Top Cut
▼ Semis 1908 Carlos Apodaca Loss 58% 0-2 1.4x Top Cut

Per-match multipliers reflect what the engine applied at the time this snapshot was recorded. The Effective Multiplier above is a delta-weighted average across all phases — Finals matches swing the headline more than Swiss rounds when they produced bigger rating changes. How it works.