Luke

1,302games

71.9%win rate

[69%, 74%]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= 1,300

Luke vs every Ancient One

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

N= 1,302 HOW?

Win rate

Value

Ithaqua

78.2%

Antediluvium

78.1%

Hypnos

76.9%

228

Rise of the Elder Things

76.8%

Yig

75.7%

Nephren-Ka

72.7%

Shub-Niggurath

72.7%

Abhoth

72.1%

Azathoth

71.0%

Yog-Sothoth

68.2%

Atlach-Nacha

67.6%

126

Hastur

66.3%

Shudde M'ell

66.1%

102

Nyarlathotep

62.5%

Syzygy

60.3%

Cthulhu

57.9%

Best matchups

N= 469

vs Ithaqua78.2% (n=59)
vs Antediluvium78.1% (n=63)
vs Hypnos76.9% (n=228)
vs Rise of the Elder Things76.8% (n=59)
vs Yig75.7% (n=60)

Worst matchups

N= 385

vs Cthulhu57.9% (n=78)
vs Syzygy60.3% (n=58)
vs Nyarlathotep62.5% (n=62)
vs Shudde M'ell66.1% (n=102)
vs Hastur66.3% (n=85)

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 →

Jim ×1.26 (74% together, n=122)
Jacqueline ×1.18 (75% together, n=190)
Daisy ×1.17 (79% together, n=173)
Silas ×1.16 (66% together, n=98)
Tommy ×1.16 (75% together, n=109)
Ursula ×1.14 (78% together, n=193)
George ×1.14 (76% together, n=66)
Norman ×1.14 (67% together, n=72)
Patrice ×1.13 (74% together, n=81)
Agnes ×1.12 (73% together, n=120)

Ursula ×1.17 (81% together, n=155)
Jim ×1.14 (78% together, n=96)
Daisy ×1.14 (82% together, n=141)
Patrice ×1.13 (79% together, n=61)
George ×1.12 (79% together, n=53)
Tommy ×1.11 (77% together, n=95)
Pete ×1.11 (78% together, n=125)
Agnes ×1.10 (75% together, n=99)
Calvin ×1.10 (76% together, n=70)
Agatha ×1.10 (79% together, n=131)

Rumor success rate

How often rumors get passed in games featuring this investigator.

N= 2,022 HOW?

82.2% [80%, 84%]

Across 2,022 rumors in 1,119 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 Yog-Sothoth — May 22, 2018 — Bears 2-6
doom 0 vs Shub-Niggurath — Jun 26, 2018 — Runko
doom 0 vs Ithaqua — Sep 16, 2018 — Bears 20-6
doom 0 vs Hastur — Nov 5, 2018 — Bears 26-16