Silas

3,372games

51.8%win rate

[50%, 53%]95% CI

Win-rate trend over time

How this investigator's win rate has shifted, quarter by quarter (at least 5 games per quarter).

N= 3,370

Silas vs every Ancient One

Win rate against each Ancient One, with a nudge toward the community average so small samples don't dominate.

N= 3,372 HOW?

Win rate

Value

Antediluvium

76.3%

Hypnos

66.6%

Ithaqua

63.8%

109

Abhoth

63.5%

Hastur

63.3%

Rise of the Elder Things

63.3%

137

Nephren-Ka

59.7%

Nyarlathotep

58.1%

Shudde M'ell

55.1%

Yog-Sothoth

54.7%

414

Shub-Niggurath

53.4%

464

Syzygy

53.0%

122

Atlach-Nacha

51.0%

Cthulhu

47.9%

706

Azathoth

47.5%

634

Yig

41.4%

323

Best matchups

N= 343

vs Antediluvium76.3% (n=28)
vs Hypnos66.6% (n=62)
vs Ithaqua63.8% (n=109)
vs Abhoth63.5% (n=75)
vs Hastur63.3% (n=69)

Worst matchups

N= 1,822

vs Yig41.4% (n=323)
vs Azathoth47.5% (n=634)
vs Cthulhu47.9% (n=706)
vs Atlach-Nacha51.0% (n=37)
vs Syzygy53.0% (n=122)

Best teammates

Partners this investigator wins more often with than apart. Anything above 1.00× is a real boost — 1.20× means the duo wins 20% more often than they do separately.

Modern = teammate boosts recomputed within modern expansion-table play (big-box games, 2018+). Most pooled pair 'synergy' is a ruleset artifact and collapses toward 1.0× under modern conditions. How this works →

Carolyn ×1.40 (75% together, n=53)
Agatha ×1.37 (77% together, n=73)
Gloria ×1.32 (71% together, n=63)
Preston ×1.25 (68% together, n=38)
Carson ×1.23 (67% together, n=33)
Sefina ×1.22 (67% together, n=45)
Harvey ×1.20 (64% together, n=86)
Bob ×1.18 (65% together, n=94)
Luke ×1.16 (66% together, n=98)
Pete ×1.13 (63% together, n=101)

Carolyn ×1.24 (79% together, n=39)
Agatha ×1.12 (76% together, n=72)
Jenny ×1.12 (75% together, n=88)
Preston ×1.08 (71% together, n=35)
Gloria ×1.07 (69% together, n=45)
Bob ×1.07 (70% together, n=71)
Harvey ×1.06 (67% together, n=43)
Dexter ×1.03 (66% together, n=74)
George ×1.03 (67% together, n=64)
Tommy ×1.03 (66% together, n=65)

Rumor success rate

How often rumors get passed in games featuring this investigator.

N= 3,955 HOW?

82.0% [81%, 83%]

Across 3,955 rumors in 2,119 games. Why this only loosely points at the investigator.

Signature comebacks

Last-second wins this investigator helped pull off — clinched at the brink, doom 0–2, with the Ancient One one tick from waking.

N= 5

doom 0 vs Yig — Aug 7, 2016
doom 0 vs Nephren-Ka — Nov 16, 2016 — Runko
doom 0 vs Yog-Sothoth — Jul 8, 2018 — Professorinc
doom 0 vs Cthulhu — Jan 20, 2020 — Doppelganger
doom 0 vs Yig — Apr 13, 2015 — blizzard