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Jacqueline

4,432games
62.0%win rate
[61%, 63%]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= 4,432

Jacqueline vs every Ancient One

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

N= 4,432 HOW?

Best matchups

N= 583
  • vs Antediluvium83.3% (n=86)
  • vs Abhoth75.9% (n=119)
  • vs Hypnos75.5% (n=84)
  • vs Rise of the Elder Things73.5% (n=156)
  • vs Nephren-Ka73.0% (n=138)

Worst matchups

N= 2,061
  • vs Cthulhu50.9% (n=599)
  • vs Yig51.1% (n=411)
  • vs Shudde M'ell57.5% (n=150)
  • vs Azathoth58.9% (n=817)
  • vs Atlach-Nacha61.7% (n=84)

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= 1,631
  • Carson ×1.35 (84% together, n=56)
  • Preston ×1.33 (83% together, n=66)
  • Mary ×1.20 (75% together, n=194)
  • Mateo ×1.20 (74% together, n=105)
  • Luke ×1.18 (75% together, n=187)
  • Ursula ×1.18 (74% together, n=442)
  • Sefina ×1.17 (74% together, n=72)
  • Minh ×1.15 (73% together, n=164)
  • Pete ×1.15 (72% together, n=162)
  • Michael ×1.14 (70% together, n=183)

Rumor success rate

How often rumors get passed in games featuring this investigator.

N= 5,609 HOW?

85.4% [84%, 86%]

Across 5,609 rumors in 3,056 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= 5
  • doom 0 vs Yig — Jun 15, 2014
  • doom 0 vs Cthulhu — Jun 9, 2019 — Ereshkigal
  • doom 0 vs Cthulhu — May 21, 2019 — TZar25
  • doom 0 vs Shub-Niggurath — Mar 28, 2020 — JCPenny Campaign 02-6
  • doom 0 vs Yig — Jun 23, 2014 — Aussi_p