Investigators
55 investigators with at least 10 community-logged games. Click any investigator name for a personal dossier.
How concentrated is investigator play?
Investigator play concentration
Cumulative share of games covered by the top-N most-played investigators. A steep curve = a small clique dominates; a flat curve = healthy variety. Faint bars in the background show how many games each individual rank contributed.
Win rate of the 25 most-played investigators
Bars show win rate with 95% Wilson CIs; investigators are kept in popularity order (most-played at top), not sorted by win rate, so you can see whether the community's favorites also perform.
Bodyguards & Glass Cannons
Win-rate lift vs. casualty lift
Each dot is an investigator. X = win-rate lift (positive = teams with this investigator win more). Y = casualty lift (positive = teams with this investigator suffer more). The four quadrants: Bodyguard (win, safer), Carry (win, but bodies), Glass Cannon (safer, but losses), Liability (worse on both).
Synergy
Top pair synergies
Lift = win rate together ÷ win rate apart. Bars whose 95% bootstrap CI excludes 1.0 (the dashed line) are statistically distinguishable from random — that's real chemistry. Tan bars are inconclusive.
Bottom pair anti-synergies
Same lift metric, opposite end of the table — pairs that win less together than each does apart. Bars whose 95% CI sits entirely below 1.0 are confidently bad chemistry; tan bars could be noise.
Co-play network
Node = investigator (sized by play count, colored by win rate relative to the 60% community average — cream is on-pace, red lags, green leads). Edges shown only for pairs with notable synergy (|lift − 1| ≥ 0.15): solid red = positive synergy, dashed blue = pairs that underperform together. Dimmed nodes have no notable pair signal. Pan, zoom, and drag nodes around to explore.
Rumors
Rumor frequency vs. difficulty
Each dot is a rumor card. X = how often it appears in logged games; Y = community pass rate. Color follows pass rate (red = often failed, green = usually passed). Quadrants: top-right = common AND easy (routine). Bottom-right = common AND hard (frequent obstacle). Bottom-left = rare AND hard (boss-tier). Top-left = rare AND easy. The four most-common plus the four hardest are labeled.
Rumor success rate per investigator
Share of rumors passed in games featuring each investigator. Weak attribution — see methodology.
Consistency vs. volatility
Win-rate variance per investigator
Each dot is one investigator. X = standard deviation of their win rate across the Ancient Ones they've faced (lower = steadier; higher = more boom-or-bust). Y = total games (just to spread the cloud vertically — not a causal axis). Color also tracks std-dev (cool ink = reliable, warm = volatile). Only the three most consistent and the three most volatile are labeled to keep the chart readable.
The full roster
All investigators
Sorted by total games played. Click for the per-investigator page.
| Investigator | Games | Win rate | 95% CI |
|---|---|---|---|
| Charlie | 4,853 | 61.2% | [60%, 63%] |
| Lily | 4,750 | 54.5% | [53%, 56%] |
| Jacqueline | 4,432 | 62.0% | [61%, 63%] |
| Diana | 4,186 | 54.4% | [53%, 56%] |
| Trish | 3,858 | 53.6% | [52%, 55%] |
| Akachi | 3,849 | 53.4% | [52%, 55%] |
| Leo | 3,632 | 51.7% | [50%, 53%] |
| Silas | 3,364 | 51.8% | [50%, 53%] |
| Norman | 3,364 | 53.9% | [52%, 56%] |
| Jim | 3,215 | 54.2% | [52%, 56%] |
| Mark | 3,158 | 48.4% | [47%, 50%] |
| Lola | 2,828 | 54.1% | [52%, 56%] |
| Ursula | 2,627 | 68.0% | [66%, 70%] |
| Daisy | 2,337 | 67.0% | [65%, 69%] |
| Agnes | 2,118 | 61.2% | [59%, 63%] |
| "Skids" | 2,029 | 63.2% | [61%, 65%] |
| Zoey | 1,926 | 58.1% | [56%, 60%] |
| Jenny | 1,772 | 68.7% | [67%, 71%] |
| Patrice | 1,607 | 61.5% | [59%, 64%] |
| Monterey | 1,546 | 64.2% | [62%, 67%] |
| Tommy | 1,474 | 59.8% | [57%, 62%] |
| Marie | 1,466 | 62.2% | [60%, 65%] |
| Wilson | 1,390 | 58.4% | [56%, 61%] |
| Mary | 1,376 | 68.4% | [66%, 71%] |
| Dexter | 1,349 | 62.7% | [60%, 65%] |
| George | 1,325 | 62.3% | [60%, 65%] |
| Mandy | 1,296 | 64.1% | [61%, 67%] |
| Luke | 1,284 | 71.7% | [69%, 74%] |
| Minh | 1,279 | 68.3% | [66%, 71%] |
| Finn | 1,260 | 55.9% | [53%, 59%] |
| Hank | 1,230 | 57.5% | [55%, 60%] |
| Tony | 1,200 | 55.2% | [52%, 58%] |
| Wendy | 1,195 | 65.1% | [62%, 68%] |
| Rex | 1,123 | 66.9% | [64%, 70%] |
| Pete | 1,097 | 70.0% | [67%, 73%] |
| Bob | 1,027 | 68.0% | [65%, 71%] |
| Joe | 1,018 | 59.6% | [57%, 63%] |
| Michael | 1,016 | 62.0% | [59%, 65%] |
| Kate | 1,014 | 65.8% | [63%, 69%] |
| Agatha | 949 | 73.1% | [70%, 76%] |
| William | 885 | 63.3% | [60%, 66%] |
| Rita | 879 | 62.2% | [59%, 65%] |
| Harvey | 863 | 61.8% | [58%, 65%] |
| Roland | 828 | 67.6% | [64%, 71%] |
| Daniela | 754 | 69.1% | [66%, 72%] |
| Gloria | 752 | 66.4% | [63%, 70%] |
| Mateo | 727 | 66.3% | [63%, 70%] |
| Carolyn | 715 | 66.7% | [63%, 70%] |
| Preston | 693 | 69.4% | [66%, 73%] |
| Darrell | 651 | 64.2% | [60%, 68%] |
| Sefina | 636 | 70.6% | [67%, 74%] |
| Vincent | 619 | 63.5% | [60%, 67%] |
| Calvin | 589 | 62.5% | [59%, 66%] |
| Amanda | 563 | 61.5% | [57%, 65%] |
| Carson | 515 | 69.9% | [66%, 74%] |