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
How much of the community's play is concentrated on a few favorites. Walk left-to-right and you see how many games are accounted for by the top N most-played investigators — a steep curve means a small clique dominates; a gentle one means healthy variety. Faint bars in the background show each individual investigator's share.
Win rate of the 25 most-played investigators
Win rates with a range of uncertainty shown as whiskers. Investigators stay in popularity order (most-played at top) rather than win-rate order — so you can see at a glance whether the community's favorites actually perform.
Bodyguards & Glass Cannons
Effect on winning vs. effect on casualties
Each dot is an investigator. Across the bottom: how much teams' win rate changes when this investigator is on the squad (right = wins more). Up the side: how casualties change (up = team takes more hits). Four quadrants: Bodyguard (wins, keeps people alive), Carry (wins, but at a cost), Glass Cannon (loses, but safer), Liability (worse on both fronts).
Synergy
Top pair synergies
The number is how much better the pair does together than apart — 1.20× means they win 20% more often as a duo. Bars whose whiskers stay entirely past the dashed 1.0× line are real chemistry; tan bars could just be noise.
Bottom pair anti-synergies
The opposite end: pairs that win less together than each one does on their own. Bars whose whiskers stay entirely below the 1.0× line are confidently bad chemistry; tan bars could just be noise.
Co-play network
Each circle is an investigator — bigger circle = played more, color shows how their win rate stacks up against the 60% community average (cream is on pace, red lags, green leads). Lines connect pairs with notable team chemistry: solid red = they're stronger together, dashed blue = they drag each other down. Dimmed circles have no notable pair signal. Drag, pan, and zoom to explore.
Rumors
Rumor frequency vs. difficulty
Each dot is a rumor card. Across the bottom: how often it shows up in logged games. Up the side: how often the community passes it. Color follows pass rate (red = often failed, green = usually passed). 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. We label the four most common plus the four hardest.
Rumor success rate per investigator
How often rumors get passed in games featuring each investigator. Take this with a grain of salt: it's about who was at the table, not who actually solved the rumor — see the methodology for caveats.
Consistency vs. volatility
Steady hands vs. boom-or-bust
Each dot is one investigator. Across the bottom: how much their win rate jumps around across the Ancient Ones they've faced (left = steady-Eddie, right = swingy). Up the side: total games (just so the dots don't pile up). Color tracks the same swing (cool = reliable, warm = volatile). We label the three steadiest and the three swingiest to keep the chart readable.
The full roster
All investigators
Sorted by total games played. Click any name for the per-investigator dossier.
| Investigator | Games | Win rate | 95% CI |
|---|---|---|---|
| Charlie | 4,853 | 61.2% | [60%, 63%] |
| Lily | 4,751 | 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 | 3,634 | 51.7% | [50%, 53%] |
| Silas | 3,365 | 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 | 2,829 | 54.1% | [52%, 56%] |
| Ursula | 2,628 | 68.0% | [66%, 70%] |
| Daisy | 2,338 | 66.9% | [65%, 69%] |
| Agnes | 2,119 | 61.3% | [59%, 63%] |
| "Skids" | 2,030 | 63.2% | [61%, 65%] |
| Zoey | 1,926 | 58.1% | [56%, 60%] |
| Jenny | 1,772 | 68.7% | [67%, 71%] |
| Patrice | 1,608 | 61.5% | [59%, 64%] |
| Monterey | 1,546 | 64.2% | [62%, 67%] |
| Tommy | 1,475 | 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 | 1,350 | 62.7% | [60%, 65%] |
| George | 1,325 | 62.3% | [60%, 65%] |
| Mandy | 1,297 | 64.1% | [62%, 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 | 1,098 | 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 | 886 | 63.2% | [60%, 66%] |
| Rita | 880 | 62.3% | [59%, 65%] |
| Harvey | 864 | 61.7% | [58%, 65%] |
| Roland | 828 | 67.6% | [64%, 71%] |
| Daniela | 754 | 69.1% | [66%, 72%] |
| Gloria | 752 | 66.4% | [63%, 70%] |
| Mateo | 728 | 66.2% | [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 | 590 | 62.5% | [59%, 66%] |
| Amanda | 563 | 61.5% | [57%, 65%] |
| Carson | 515 | 69.9% | [66%, 74%] |