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Eldritch Stats

Field reports on the encroaching dark · compiled Monday, July 13, 2026
Games  ·  21,240
Contributors  ·  2,851

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Auros

Overview

11
Games logged
2 won, 9 lost.
18.2%
Personal win rate
−42.0 pts vs community (60.1%).
15
Days active
11.0 games / year on average.
Leo
Favorite investigator
Most-played character.
1
Longest win streak
Consecutive victories in a row.
6
Longest loss streak
Consecutive defeats in a row.

Career arc

Dec 17, 2014
first game
Dec 31, 2014
last game

Wins vs losses

A quick visual tally of this contributor's career so far.

N= 11

Best & worst Ancient One (n ≥ 5)

  • Best Azathoth — 18.2% (n=11)
  • Personal nemesis Azathoth — 18.2% (n=11)
  • Unique AOs faced 1

Net record

−7
2 victories minus 9 defeats. Below the 50/50 line by 31.8 pts.

Ancient Ones

Above or below the curve

For each Ancient One this contributor has faced at least 5 times, the gap between their personal win rate and how the community does against the same foe. Green bars = they beat the community average; red bars = they trail it.

N= 11

Where they sit among peers

Rank against every other contributor with at least 5 games logged. Higher is better.

N= 716
4%ile

Still learning — outperforms 4% of the cohort.

All Ancient Ones faced

Click a column header to sort.

N= 11
Ancient One Games Wins Win %
Azathoth 11 2 18.2%

Investigators

Most-played investigators

Where this contributor spends their time on the roster. Sorted by total games with each character.

N= 35

Win rate by investigator

Per-character win rate with a 95% confidence band. Only investigators played 3+ times appear; wide bars mean a small sample.

N= 27

Roster breadth

An effective count of how many investigators make up this contributor's career — it accounts for how lopsided their picks are. Close to the unique count means wide variety; close to 1 means a couple of mains dominate.

6.0eff. chars

Most-played: Leo (29% of all games). 10 unique investigators ever fielded.

Expansions

Expansions mixed per game

How many expansion boxes this contributor typically combines in a single game.

N= 11

Time & Activity

Time at the table

Across 8 timed games. Game length is self-reported; the rare sub-30-minute entries (data slips) are excluded.

N= 8
18h
Roughly 18h 10m spent summoning horrors. Averaging 136 min per game (−35 min vs the community's 171 min).

Win rate by team size

Does this contributor do better solo or in a full party? Win rate against the number of investigators at the table, with a 95% confidence band. Only team sizes with 3+ games shown.

N= 7

Records

Trophy case

Career bests and lifetime tallies.

6
Best score
1h 30m
Fastest victory
5h
Longest game
8
Biggest team
6
Monsters defeated
2
Investigators lost

How their games end

The split of victory types (green) and defeat causes (red) across this contributor's games.

N= 11

Outcome mix vs community

For each way a game can end, the gap between this contributor's share and the community's. Bars to the right = it happens to them more often than the average player.

N= 11