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nuc

Overview

13
Games logged
8 won, 5 lost.
61.5%
Personal win rate
+1.5 pts vs community (60.1%).
2,405
Days active
2.0 games / year on average.
Lily
Favorite investigator
Most-played character.
4
Longest win streak
Consecutive victories in a row.
2
Longest loss streak
Consecutive defeats in a row.

Career arc

Apr 18, 2018
first game
Nov 17, 2024
last game

Wins vs losses

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

N= 13

Best & worst Ancient One (n ≥ 5)

  • Best
  • Personal nemesis
  • Unique AOs faced 7

Net record

+3
8 victories minus 5 defeats. Ahead of the 50/50 line by 11.5 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= 13

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= 10

Where they sit among peers

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

N= 714
55%ile

Above the median — outperforms 55% 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.

5.5eff. AOs

Career is spread across many Ancient Ones. Top foe: Syzygy (31% of all games). 7 unique AOs ever faced.

All Ancient Ones faced

Click a column header to sort.

N= 13
Ancient One Games Wins Win %
Syzygy 4 3 75.0%
Nephren-Ka 2 2 100.0%
Cthulhu 2 0 0.0%
Yog-Sothoth 2 2 100.0%
Azathoth 1 1 100.0%
Shudde M'ell 1 0 0.0%
Shub-Niggurath 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= 47

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= 36

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.

16.7eff. chars

Most-played: Lily (14% of all games). 26 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= 13

Expansions mixed per game

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

N= 13

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= 33

Time & Activity

Time at the table

Across 13 timed games. Game length is self-reported; the rare sub-30-minute entries (data slips) are excluded.

N= 13
59h
Roughly 59h 10m spent summoning horrors. Averaging 273 min per game (+102 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= 13

Quick wins or long grinds?

5min
Their victories average 275 min and defeats 270 min — their wins tend to be the longer grinds.

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= 13

Games per year

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

N= 13

Records

Trophy case

Career bests and lifetime tallies.

16
Best score
3h 10m
Fastest victory
6h 30m
Longest game
4
Biggest team
22
Monsters defeated
1
Investigators lost

How their games end

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

N= 13

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= 13