Zoey

1,958games

58.3%win rate

[56%, 60%]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= 1,957

Zoey vs every Ancient One

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

N= 1,958 HOW?

Win rate

Value

Rise of the Elder Things

73.5%

107

Hypnos

71.6%

Abhoth

71.1%

Nephren-Ka

67.2%

121

Atlach-Nacha

64.1%

Antediluvium

64.0%

Ithaqua

61.7%

123

Azathoth

61.2%

155

Nyarlathotep

58.3%

Yog-Sothoth

57.5%

124

Hastur

54.3%

117

Syzygy

53.8%

330

Yig

53.5%

147

Shub-Niggurath

52.0%

165

Shudde M'ell

51.9%

Cthulhu

45.1%

152

Best matchups

N= 461

vs Rise of the Elder Things73.5% (n=107)
vs Hypnos71.6% (n=71)
vs Abhoth71.1% (n=94)
vs Nephren-Ka67.2% (n=121)
vs Atlach-Nacha64.1% (n=68)

Worst matchups

N= 886

vs Cthulhu45.1% (n=152)
vs Shudde M'ell51.9% (n=92)
vs Shub-Niggurath52.0% (n=165)
vs Yig53.5% (n=147)
vs Syzygy53.8% (n=330)

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 →

Preston ×1.27 (77% together, n=70)
Kate ×1.13 (68% together, n=92)
Luke ×1.11 (70% together, n=143)
Agatha ×1.10 (69% together, n=81)
Darrell ×1.05 (63% together, n=59)
Pete ×1.05 (66% together, n=102)
Jacqueline ×1.05 (64% together, n=335)
Charlie ×1.04 (62% together, n=434)
Harvey ×1.01 (60% together, n=115)
Mateo ×1.01 (61% together, n=92)

Preston ×1.20 (77% together, n=69)
Finn ×1.07 (64% together, n=69)
Kate ×1.06 (67% together, n=76)
Darrell ×1.05 (66% together, n=44)
Harvey ×1.04 (64% together, n=70)
Agatha ×1.03 (69% together, n=81)
Luke ×1.03 (69% together, n=116)
Charlie ×1.01 (67% together, n=232)
Daisy ×1.00 (68% together, n=160)
Jacqueline ×1.00 (67% together, n=172)

Rumor success rate

How often rumors get passed in games featuring this investigator.

N= 3,172 HOW?

83.8% [82%, 85%]

Across 3,172 rumors in 1,711 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 Yog-Sothoth — Jul 5, 2019
doom 0 vs Hypnos — Feb 5, 2017 — blizzard
doom 0 vs Cthulhu — Feb 3, 2018 — Randolph Carver
doom 0 vs Yig — Sep 12, 2016 — Runko
doom 0 vs Yig — Sep 14, 2016 — Runko