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Tony

1,204games
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= 1,202

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= 1,204 HOW?

Best matchups

N= 343
  • 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-Sothoth62.4% (n=83)

Worst matchups

N= 473
  • vs Cthulhu43.3% (n=87)
  • vs Shudde M'ell43.5% (n=52)
  • vs Nyarlathotep47.6% (n=32)
  • vs Syzygy50.2% (n=197)
  • 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.

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 →

  • Lola ×1.19 (64% together, n=131)
  • 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 ×1.02 (62% together, n=39)
  • Lola ×1.12 (69% together, n=62)
  • Rex ×1.07 (70% together, n=44)
  • George ×1.07 (68% together, n=41)
  • Silas ×1.02 (63% together, n=62)
  • Lily ×1.02 (64% together, n=89)
  • Darrell ×1.01 (63% together, n=30)

Rumor success rate

How often rumors get passed in games featuring this investigator.

N= 1,905 HOW?

83.2% [81%, 85%]

Across 1,905 rumors in 1,055 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= 2
  • doom 0 vs Yig — Sep 14, 2016 — Runko
  • doom 0 vs Yig — Dec 4, 2016 — Runko