Norman

3,405games

54.1%win rate

[52%, 56%]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= 3,402

Norman vs every Ancient One

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

N= 3,405 HOW?

Win rate

Value

Antediluvium

83.0%

Rise of the Elder Things

70.7%

Abhoth

67.0%

Ithaqua

63.3%

137

Yog-Sothoth

60.6%

615

Nyarlathotep

58.5%

Hypnos

57.7%

Atlach-Nacha

56.7%

Syzygy

56.0%

158

Shudde M'ell

55.8%

Nephren-Ka

55.4%

Hastur

54.4%

Azathoth

51.4%

708

Shub-Niggurath

51.0%

464

Yig

45.9%

280

Cthulhu

43.8%

426

Best matchups

N= 978

vs Antediluvium83.0% (n=37)
vs Rise of the Elder Things70.7% (n=96)
vs Abhoth67.0% (n=93)
vs Ithaqua63.3% (n=137)
vs Yog-Sothoth60.6% (n=615)

Worst matchups

N= 1,969

vs Cthulhu43.8% (n=426)
vs Yig45.9% (n=280)
vs Shub-Niggurath51.0% (n=464)
vs Azathoth51.4% (n=708)
vs Hastur54.4% (n=91)

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 ×1.32 (74% together, n=58)
Gloria ×1.21 (68% together, n=56)
Carson ×1.21 (67% together, n=43)
Carolyn ×1.19 (67% together, n=48)
Kate ×1.18 (67% together, n=75)
Daniela ×1.18 (67% together, n=60)
Agatha ×1.13 (66% together, n=70)
Mary ×1.12 (65% together, n=123)
Luke ×1.12 (66% together, n=73)
Pete ×1.12 (65% together, n=96)

Preston ×1.15 (75% together, n=57)
Gloria ×1.08 (70% together, n=46)
Carolyn ×1.07 (69% together, n=39)
Kate ×1.06 (69% together, n=61)
Mary ×1.04 (69% together, n=88)
Daniela ×1.03 (68% together, n=59)
Daisy ×1.03 (70% together, n=81)
Carson ×1.02 (67% together, n=43)
Bob ×1.02 (68% together, n=74)
Wendy ×1.00 (66% together, n=64)

Rumor success rate

How often rumors get passed in games featuring this investigator.

N= 3,967 HOW?

83.0% [82%, 84%]

Across 3,967 rumors in 2,161 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 — Aug 7, 2016
doom 0 vs Yig — Jun 15, 2014
doom 0 vs Yig — Jul 29, 2016 — blizzard
doom 0 vs Yig — Jun 18, 2016 — blizzard
doom 0 vs Yog-Sothoth — Aug 12, 2018 — Professorinc