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shodan84

Overview

14
Games logged
6 won, 8 lost.
42.9%
Personal win rate
−17.3 pts vs community (60.1%).
30
Days active
14.0 games / year on average.
Silas
Favorite investigator
Most-played character.
3
Longest win streak
Consecutive victories in a row.
3
Longest loss streak
Consecutive defeats in a row.

Career arc

Nov 10, 2017
first game
Dec 10, 2017
last game

Wins vs losses

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

N= 14

Best & worst Ancient One (n ≥ 5)

  • Best
  • Personal nemesis
  • Unique AOs faced 5

Net record

−2
6 victories minus 8 defeats. Below the 50/50 line by 7.1 pts.

Ancient Ones

Most-faced Ancient Ones

Where this contributor spends their time, split into wins and losses. Bar length is total games against each foe; the green share is how often they won. Sorted by games played.

N= 14

Win rate with confidence range

Same per-AO win rate, but with a 95% confidence band based on sample size. Wide bars = few games (treat with caution). Narrow bars = many games. Only AOs with 2+ games shown.

N= 14

Personal vs community win rate

Each Ancient One the contributor has fought multiple times. Across the bottom: the community's win rate against that foe; up the side: this contributor's own. Color marks the gap — green where they beat the community against that foe, red where they trail it. Dot size shows how many games they've logged against it.

N= 10

Where they sit among peers

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

N= 716
26%ile

Below the median — outperforms 26% of the cohort.

Repertoire breadth

An effective count of how many Ancient Ones make up this contributor's career — accounts for how lopsided their distribution is. Close to the unique-AO count = broad variety. Close to 1 = one or two favourites dominate.

4.7eff. AOs

Career is spread across many Ancient Ones. Top foe: Azathoth (29% of all games). 5 unique AOs ever faced.

Toughest AOs they've beaten

Ancient Ones where the community loses at least 55% of the time — and this contributor has carved out at least one win.

N= 2
Ancient One Community loss % Personal wins Personal win %
Cthulhu 56% 1 / 2 50.0%

All Ancient Ones faced

Click a column header to sort.

N= 14
Ancient One Games Wins Win %
Azathoth 4 1 25.0%
Shub-Niggurath 3 0 0.0%
Syzygy 3 2 66.7%
Cthulhu 2 1 50.0%
Yog-Sothoth 2 2 100.0%

Investigators

Most-played investigators

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

N= 42

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= 28

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.

9.1eff. chars

Most-played: Charlie (17% of all games). 13 unique investigators ever fielded.

Expansions

Expansions mixed per game

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

N= 14

Time & Activity

Time at the table

Across 2 timed games. Game length is self-reported; the rare sub-30-minute entries (data slips) are excluded.

N= 2
6h
Roughly 6h spent summoning horrors. Averaging 180 min per game (+9 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= 12

Records

Trophy case

Career bests and lifetime tallies.

3h
Longest game
4
Biggest team
8
Monsters defeated
0
Investigators lost

How their games end

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

N= 14

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= 14