SC_Spylk at Regional Championship Bilbao Limited

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Regional Limited October 10, 2025 Record 9-3-0 Field 446

Rating after 1,903

+155

Rating before 1,748 RD 152

Rating after 1,903 RD 117

Effective multiplier 1.3×

Performance 2,056

Field strength Mean 1,575 · Median 1,525 · 457 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 Regional tier multiplier (1.3×) 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 Regional event adds a flat +35 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 1748 → Swiss 1903 +155.3

Top Cut Bracket Full bracket on the event page

Quarterfinals

Hiere 0

FilS 2

Cuendae 1

Wojciech Olszewski 2

Bandit01 2

miguelitto01 1

QCK_CharlyBacon 0

MikaelPL 2

Semifinals

Bandit01 2

Wojciech Olszewski 1

MikaelPL 2

FilS 1

Finals

MikaelPL 0

Bandit01 2

See full bracket on the event page →

Swiss · 12 matches 9-3 +119.5 1.3× +35.8 +155.3 1903

Total 9-3-0 +155.3 1903

Biggest upset Beat BigONotation 1913 at 36% odds / surprise +0.64

Costliest loss Lost to Cerwind 1500 at 68% odds / surprise -0.68 /

Matches (12)

R1 Terror404_RS Win 2-0 1.3× +28.6 Swiss

R2 EC_Lasax Win 2-1 1.3× +42.4 Swiss

R3 wales649 Win 2-1 1.3× +53.0 Swiss

Glicko-2 predicted only 45% 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 133, true skill could span ±265).

R4 Docnicka Loss 1-2 1.3× Swiss

R5 Palpen Win 2-1 1.3× +38.8 Swiss

R6 SMG_Xploo Win 2-0 1.3× +28.6 Swiss

R7 Cerwind Loss 1-2 1.3× Swiss

Glicko-2 predicted 68% 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 250, true skill could span ±500).

R8 Zimmo Win 2-1 1.3× +47.4 Swiss

R9 BigONotation Win 2-1 1.3× +61.2 Swiss

Glicko-2 predicted only 36% 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 130, true skill could span ±260).

R10 Hiere Loss 0-2 1.3× Swiss

Glicko-2 predicted 61% 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 152, true skill could span ±304).

R11 Archa79 Win 2-0 1.3× +50.2 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 152, true skill could span ±304).

R12 Mexaa Win 2-0 1.3× +55.5 Swiss

Glicko-2 predicted only 42% 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 138, true skill could span ±276).