← All contributors

Rancord

Overview

12
Games logged
8 won, 4 lost.
66.7%
Personal win rate
+6.5 pts vs community (60.1%).
1,086
Days active
4.0 games / year on average.
Agnes
Favorite investigator
Most-played character.
5
Longest win streak
Consecutive victories in a row.
3
Longest loss streak
Consecutive defeats in a row.

Career arc

Sep 14, 2022
first game
Sep 4, 2025
last game

Wins vs losses

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

N= 12

Best & worst Ancient One (n ≥ 5)

  • Best
  • Personal nemesis
  • Unique AOs faced 9

Net record

+4
8 victories minus 4 defeats. Ahead of the 50/50 line by 16.7 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= 12

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= 5

Where they sit among peers

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

N= 716
64%ile

Above the median — outperforms 64% 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.

7.2eff. AOs

Career is spread across many Ancient Ones. Top foe: Hastur (25% of all games). 9 unique AOs ever faced.

All Ancient Ones faced

Click a column header to sort.

N= 12
Ancient One Games Wins Win %
Hastur 3 1 33.3%
Shudde M'ell 2 0 0.0%
Abhoth 1 1 100.0%
Nephren-Ka 1 1 100.0%
Ithaqua 1 1 100.0%
Nyarlathotep 1 1 100.0%
Rise of the Elder Things 1 1 100.0%
Syzygy 1 1 100.0%
Yog-Sothoth 1 1 100.0%

Investigators

Most-played investigators

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

N= 39

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= 23

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.

24.5eff. chars

Most-played: Agnes (7% of all games). 31 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= 12

Expansions mixed per game

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

N= 12

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= 70

Time & Activity

Time at the table

Across 12 timed games. Game length is self-reported; the rare sub-30-minute entries (data slips) are excluded.

N= 12
25h
Roughly 25h 17m spent summoning horrors. Averaging 126 min per game (−45 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= 12

Quick wins or long grinds?

26min
Their victories average 135 min and defeats 109 min — their wins tend to be the longer grinds.

Games per year

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

N= 12

Records

Trophy case

Career bests and lifetime tallies.

7
Best score
1h 5m
Fastest victory
3h 20m
Longest game
4
Biggest team
27
Monsters defeated
3
Investigators lost

How their games end

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

N= 12

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= 12