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Tony

1,200games
55.2%win rate
[52%, 58%]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= 1,196

Tony vs every Ancient One

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

N= 1,200 HOW?

Best matchups

N= 342
  • vs Hypnos68.5% (n=25)
  • vs Rise of the Elder Things66.3% (n=79)
  • vs Azathoth64.4% (n=94)
  • vs Abhoth63.9% (n=62)
  • vs Yog-Sothoth61.9% (n=82)

Worst matchups

N= 471
  • vs Cthulhu43.3% (n=87)
  • vs Shudde M'ell43.5% (n=52)
  • vs Nyarlathotep47.6% (n=32)
  • vs Syzygy50.2% (n=195)
  • vs Yig50.4% (n=105)

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.

N= 1,012
  • Lola ×1.19 (64% together, n=130)
  • Mark ×1.10 (55% together, n=131)
  • Gloria ×1.06 (63% together, n=51)
  • George ×1.04 (61% together, n=95)
  • Jim ×1.02 (56% together, n=153)
  • Sefina ×1.00 (61% together, n=38)
  • Silas ×0.99 (52% together, n=155)
  • Carson ×0.99 (59% together, n=34)
  • Darrell ×0.99 (58% together, n=33)
  • Lily ×0.98 (54% together, n=192)

Rumor success rate

How often rumors get passed in games featuring this investigator.

N= 1,896 HOW?

83.1% [81%, 85%]

Across 1,896 rumors in 1,051 games. Why this only loosely points at the investigator.

Signature comebacks

Last-second wins this investigator helped pull off — games clinched at high doom.

N= 2
  • doom 0 vs Yig — Sep 14, 2016 — Runko
  • doom 0 vs Yig — Dec 4, 2016 — Runko