Leo

3,637games

51.7%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= 3,637

Leo vs every Ancient One

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

N= 3,637 HOW?

Win rate

Value

Antediluvium

72.3%

Abhoth

70.1%

117

Rise of the Elder Things

69.8%

136

Nyarlathotep

65.9%

Nephren-Ka

64.3%

105

Hastur

63.4%

Hypnos

62.9%

Ithaqua

60.9%

128

Syzygy

58.5%

142

Yog-Sothoth

55.7%

464

Shub-Niggurath

50.9%

571

Azathoth

49.7%

686

Shudde M'ell

47.8%

Atlach-Nacha

46.7%

Yig

42.2%

485

Cthulhu

40.2%

458

Best matchups

N= 432

vs Antediluvium72.3% (n=37)
vs Abhoth70.1% (n=117)
vs Rise of the Elder Things69.8% (n=136)
vs Nyarlathotep65.9% (n=37)
vs Nephren-Ka64.3% (n=105)

Worst matchups

N= 1,776

vs Cthulhu40.2% (n=458)
vs Yig42.2% (n=485)
vs Atlach-Nacha46.7% (n=65)
vs Shudde M'ell47.8% (n=82)
vs Azathoth49.7% (n=686)

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 →

Sefina ×1.32 (72% together, n=53)
Mateo ×1.27 (68% together, n=69)
Gloria ×1.25 (67% together, n=70)
Darrell ×1.24 (66% together, n=47)
Rex ×1.23 (68% together, n=108)
Carolyn ×1.23 (66% together, n=71)
Michael ×1.23 (65% together, n=110)
Kate ×1.20 (65% together, n=95)
Dexter ×1.15 (62% together, n=154)
Carson ×1.13 (61% together, n=46)

Rex ×1.18 (77% together, n=66)
Darrell ×1.14 (72% together, n=36)
Michael ×1.12 (71% together, n=85)
Dexter ×1.10 (69% together, n=108)
Sefina ×1.10 (72% together, n=53)
Mateo ×1.06 (68% together, n=68)
Amanda ×1.06 (66% together, n=38)
Carolyn ×1.01 (65% together, n=57)
Kate ×1.00 (65% together, n=74)

Rumor success rate

How often rumors get passed in games featuring this investigator.

N= 4,191 HOW?

83.1% [82%, 84%]

Across 4,191 rumors in 2,314 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 — Jun 15, 2014
doom 0 vs Ithaqua — Aug 7, 2015 — blizzard
doom 0 vs Yig — Jan 1, 2015 — blizzard
doom 0 vs Yig — Aug 16, 2015 — blizzard
doom 0 vs Yig — Jul 29, 2016 — blizzard