Michael

1,035games

61.6%win rate

[59%, 65%]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= 1,035

Michael vs every Ancient One

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

N= 1,035 HOW?

Win rate

Value

Rise of the Elder Things

79.3%

Hypnos

75.3%

Antediluvium

69.0%

Abhoth

68.7%

Atlach-Nacha

67.8%

Azathoth

66.6%

Nephren-Ka

64.8%

Shub-Niggurath

61.8%

Shudde M'ell

61.3%

Yog-Sothoth

59.7%

Nyarlathotep

59.4%

Hastur

59.4%

187

Ithaqua

57.7%

Syzygy

54.6%

Yig

51.3%

Cthulhu

33.8%

Best matchups

N= 258

vs Rise of the Elder Things79.3% (n=48)
vs Hypnos75.3% (n=59)
vs Antediluvium69.0% (n=32)
vs Abhoth68.7% (n=70)
vs Atlach-Nacha67.8% (n=49)

Worst matchups

N= 417

vs Cthulhu33.8% (n=55)
vs Yig51.3% (n=68)
vs Syzygy54.6% (n=65)
vs Ithaqua57.7% (n=42)
vs Hastur59.4% (n=187)

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 →

Leo ×1.23 (65% together, n=110)
Jim ×1.13 (63% together, n=103)
Jacqueline ×1.12 (69% together, n=187)
Gloria ×1.10 (70% together, n=82)
Akachi ×1.10 (60% together, n=126)
Lola ×1.05 (59% together, n=73)
Sefina ×1.05 (68% together, n=53)
Harvey ×1.04 (64% together, n=61)
Luke ×1.04 (70% together, n=109)
Carolyn ×1.03 (65% together, n=55)

Gloria ×1.22 (79% together, n=67)
Leo ×1.13 (71% together, n=85)
Jacqueline ×1.12 (77% together, n=122)
Jim ×1.12 (72% together, n=72)
Dexter ×1.08 (70% together, n=130)
Harvey ×1.08 (69% together, n=36)
Wendy ×1.04 (69% together, n=119)
Minh ×1.04 (72% together, n=50)
Patrice ×1.04 (69% together, n=45)
Wilson ×1.03 (66% together, n=35)

Rumor success rate

How often rumors get passed in games featuring this investigator.

N= 1,707 HOW?

82.8% [81%, 84%]

Across 1,707 rumors in 929 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= 4

doom 0 vs Yog-Sothoth — Jul 5, 2019
doom 0 vs Nephren-Ka — Oct 23, 2016 — Runko
doom 0 vs Yig — Dec 4, 2016 — Runko
doom 0 vs Yig — Jul 4, 2017 — Runko