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Alerada

Overview

13
Games logged
3 won, 10 lost.
23.1%
Personal win rate
−37.1 pts vs community (60.1%).
188
Days active
13.0 games / year on average.
Lily
Favorite investigator
Most-played character.
1
Longest win streak
Consecutive victories in a row.
4
Longest loss streak
Consecutive defeats in a row.

Career arc

Aug 11, 2014
first game
Feb 15, 2015
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

−7
3 victories minus 10 defeats. Below the 50/50 line by 26.9 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= 716
7%ile

Still learning — outperforms 7% 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.

5.8eff. AOs

Career is spread across many Ancient Ones. Top foe: Azathoth (23% 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 %
Azathoth 3 1 33.3%
Shub-Niggurath 3 0 0.0%
Cthulhu 2 0 0.0%
Yig 2 0 0.0%
Ithaqua 1 0 0.0%
Rise of the Elder Things 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= 36

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= 20

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.

10.6eff. chars

Most-played: Lily (16% of all games). 16 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= 13

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
18h
Roughly 18h 28m spent summoning horrors. Averaging 85 min per game (−86 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?

2min
Their victories average 84 min and defeats 86 min — they tend to close out the faster games.

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.

10
Best score
55m
Fastest victory
2h
Longest game
5
Biggest team
15
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