Preston
Win-rate trend over time
How this investigator's win rate has shifted, quarter by quarter (at least 5 games per quarter).
Preston vs every Ancient One
Win rate against each Ancient One, with a nudge toward the community average so small samples don't dominate.
Best matchups
- vs Abhoth77.3% (n=43)
- vs Nephren-Ka76.4% (n=41)
- vs Rise of the Elder Things75.0% (n=42)
- vs Shub-Niggurath73.6% (n=43)
- vs Ithaqua73.0% (n=42)
Worst matchups
- vs Yog-Sothoth56.1% (n=31)
- vs Cthulhu57.7% (n=42)
- vs Yig60.0% (n=40)
- vs Syzygy62.0% (n=40)
- vs Nyarlathotep63.5% (n=86)
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 →
- Norman ×1.34 (75% together, n=56)
- Jacqueline ×1.33 (83% together, n=66)
- Trish ×1.29 (72% together, n=60)
- Akachi ×1.28 (71% together, n=62)
- Zoey ×1.28 (77% together, n=70)
- Silas ×1.25 (68% together, n=38)
- Tommy ×1.22 (77% together, n=30)
- "Skids" ×1.20 (77% together, n=86)
- Patrice ×1.17 (74% together, n=47)
- Jim ×1.16 (66% together, n=44)
- Zoey ×1.21 (77% together, n=69)
- Jacqueline ×1.18 (83% together, n=64)
- Norman ×1.14 (75% together, n=56)
- Mateo ×1.14 (76% together, n=122)
- Mary ×1.13 (78% together, n=65)
- "Skids" ×1.13 (77% together, n=86)
- Harvey ×1.13 (76% together, n=29)
- Ursula ×1.12 (78% together, n=86)
- Tommy ×1.12 (76% together, n=29)
- Trish ×1.11 (72% together, n=60)
Rumor success rate
How often rumors get passed in games featuring this investigator.
85.7% [84%, 88%]
Across 1,101 rumors in 619 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.
- doom 0 vs Abhoth — Jul 27, 2018 — EGC