Tommy

1,480games

59.9%win rate

[57%, 62%]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= 1,477

Tommy vs every Ancient One

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

N= 1,480 HOW?

Win rate

Value

Rise of the Elder Things

75.5%

190

Nephren-Ka

66.6%

Yog-Sothoth

66.1%

102

Hastur

65.6%

Abhoth

63.5%

Azathoth

62.2%

117

Hypnos

61.5%

Antediluvium

61.3%

Shub-Niggurath

58.4%

139

Ithaqua

57.7%

184

Syzygy

56.6%

103

Shudde M'ell

55.7%

Nyarlathotep

55.5%

Atlach-Nacha

50.9%

Yig

49.0%

143

Cthulhu

43.0%

104

Best matchups

N= 487

vs Rise of the Elder Things75.5% (n=190)
vs Nephren-Ka66.6% (n=77)
vs Yog-Sothoth66.1% (n=102)
vs Hastur65.6% (n=54)
vs Abhoth63.5% (n=64)

Worst matchups

N= 374

vs Cthulhu43.0% (n=104)
vs Yig49.0% (n=143)
vs Atlach-Nacha50.9% (n=41)
vs Nyarlathotep55.5% (n=26)
vs Shudde M'ell55.7% (n=60)

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 ×1.22 (77% together, n=30)
Luke ×1.16 (75% together, n=109)
Wendy ×1.13 (70% together, n=93)
Mateo ×1.13 (70% together, n=33)
Jim ×1.12 (62% together, n=198)
Agatha ×1.12 (72% together, n=47)
Pete ×1.10 (70% together, n=74)
Jacqueline ×1.07 (65% together, n=272)
Daniela ×1.06 (67% together, n=51)
Amanda ×1.06 (64% together, n=36)

Jim ×1.18 (76% together, n=95)
Jacqueline ×1.17 (80% together, n=130)
Dexter ×1.14 (74% together, n=80)
Mark ×1.14 (69% together, n=67)
Preston ×1.12 (76% together, n=29)
Luke ×1.11 (77% together, n=95)
Wendy ×1.10 (73% together, n=63)
Amanda ×1.08 (70% together, n=30)
Rex ×1.08 (74% together, n=65)
Ursula ×1.07 (73% together, n=176)

Rumor success rate

How often rumors get passed in games featuring this investigator.

N= 2,305 HOW?

84.2% [83%, 86%]

Across 2,305 rumors in 1,264 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 Nephren-Ka — Nov 16, 2016 — Runko
doom 0 vs Nephren-Ka — Mar 20, 2016 — bli
doom 0 vs Shub-Niggurath — Dec 13, 2015 — freeman
doom 0 vs Yig — Jun 18, 2016 — blizzard
doom 0 vs Yog-Sothoth — Apr 13, 2021 — Kkomek21