SC_Spylk at Sector Qualifier Milan

melee.gg

Sector Premier March 29, 2025 Record 4-5-0 Field 546

Rating after 1,890

-100

Rating before 1,990 RD 103

Rating after 1,890 RD 96

Effective multiplier 1.15×

Performance 1,552

Field strength Mean 1,560 · Median 1,530 · 546 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 Sector tier multiplier (1.15×) 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 Sector event adds a flat +25 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 1990 → Swiss 1890 -100.2

Top Cut Bracket Full bracket on the event page

Quarterfinals

Jędrzej Sobota 0

Malvolio 2

Avestator 2

DosGrajos_REBELS 1

Beton 2

RaistlinMajere 1

Jadimi_TCT 0

qkieu 2

Semifinals

Malvolio 0

Avestator 2

Beton 2

qkieu 1

Finals

Avestator 2

Beton 0

See full bracket on the event page →

Swiss · 9 matches 4-5 -87.2 1.15× -13.1 -100.2 1890

Total 4-5-0 -100.2 1890

Toughest win Beat Masta 1718 at 71% odds

Costliest loss Lost to raphael Bereau 1358 at 89% odds / surprise -0.89 /

Matches (9)

R1 raphael Bereau Loss 1-2 1.15× Swiss

Glicko-2 predicted 89% 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 178, true skill could span ±357).

R2 Nomu Win 2-1 1.15× +10.3 Swiss

R3 Masta Win 2-1 1.15× +11.8 Swiss

R4 Chris Beardsmore Win 2-0 1.15× +7.0 Swiss

R5 Artorias24 Win 2-0 1.15× +9.3 Swiss

R6 TGB_JulioJ Loss 1-2 1.15× Swiss

Glicko-2 predicted 80% 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 126, true skill could span ±253).

R7 Magnetar Loss 0-2 1.15× Swiss

Glicko-2 predicted 62% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.

R8 Effelamen Loss 1-2 1.15× Swiss

Glicko-2 predicted 82% 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 175, true skill could span ±349).

R9 MartinKvaka Loss 0-2 1.15× Swiss

Glicko-2 predicted 67% 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 163, true skill could span ±326).