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Randymd

Overview

103
Games logged
50 won, 53 lost.
48.5%
Personal win rate
−11.6 pts vs community (60.1%).
4,424
Days active
8.5 games / year on average.
Jenny
Favorite investigator
Most-played character.
5
Longest win streak
Consecutive victories in a row.
6
Longest loss streak
Consecutive defeats in a row.

Career arc

May 24, 2014
first game
Jul 4, 2026
last game

Wins vs losses

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

N= 103

Best & worst Ancient One (n ≥ 5)

  • Best Ithaqua — 83.3% (n=6)
  • Personal nemesis Cthulhu — 0.0% (n=8)
  • Unique AOs faced 16

Net record

−3
50 victories minus 53 defeats. Below the 50/50 line by 1.5 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= 93

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= 103

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= 102

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= 100

Where they sit among peers

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

N= 718
32%ile

Below the median — outperforms 32% 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.

12.9eff. AOs

Career is spread across many Ancient Ones. Top foe: Syzygy (13% of all games). 16 unique AOs ever faced.

All Ancient Ones faced

Click a column header to sort.

N= 103
Ancient One Games Wins Win %
Syzygy 13 6 46.2%
Shub-Niggurath 10 6 60.0%
Yig 10 1 10.0%
Yog-Sothoth 10 7 70.0%
Cthulhu 8 0 0.0%
Rise of the Elder Things 8 6 75.0%
Azathoth 7 5 71.4%
Hypnos 6 3 50.0%
Ithaqua 6 5 83.3%
Antediluvium 5 1 20.0%
Hastur 5 4 80.0%
Nephren-Ka 5 2 40.0%
Abhoth 4 3 75.0%
Atlach-Nacha 3 0 0.0%
Nyarlathotep 2 1 50.0%
Shudde M'ell 1 0 0.0%

Investigators

Most-played investigators

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

N= 200

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= 154

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.

33.5eff. chars

Most-played: Jenny (6% of all games). 54 unique investigators ever fielded.

Expansions

Boxes in play

How often each expansion is on the table in this contributor's games. A single game usually mixes several boxes, so the totals overlap.

N= 103

Expansions mixed per game

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

N= 103

Win rate by expansion

Win rate in games featuring each box (95% band). Boxes played 5+ times only — this reflects which boxes they tend to win with, not the box's own difficulty.

N= 574

Time & Activity

Time at the table

Across 103 timed games. Game length is self-reported; the rare sub-30-minute entries (data slips) are excluded.

N= 103
259h
Roughly 259h 25m spent summoning horrors. Averaging 151 min per game (−20 min vs the community's 171 min).

Game-length distribution

How long this contributor's games run, in minutes. The visible range clips a few long outliers.

N= 103

Quick wins or long grinds?

24min
Their victories average 139 min and defeats 163 min — they tend to close out the faster games.

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= 101

Games per year

This contributor's logged games by calendar year — the seasons when they were most active.

N= 103

Win-rate trajectory

A rolling win rate across their career in game order — is their form trending up or down? The dashed line marks the community average.

N= 103

When they log games

Every logged game on a day × hour grid, by the time it was submitted (in the form's own timezone, not this contributor's). Darker cells are busier slots. The strip on top totals games by hour, the strip on the right by weekday. Hover any cell for win rate and average length.

N= 103

Records

Trophy case

Career bests and lifetime tallies.

-4
Best score (lowest win)
45m
Fastest victory
5h
Longest game
4
Biggest team
156
Monsters defeated
17
Investigators lost

How their games end

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

N= 103

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= 103