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Zozo

Overview

18
Games logged
10 won, 8 lost.
55.6%
Personal win rate
−4.6 pts vs community (60.1%).
656
Days active
10.0 games / year on average.
Charlie
Favorite investigator
Most-played character.
7
Longest win streak
Consecutive victories in a row.
3
Longest loss streak
Consecutive defeats in a row.

Career arc

Mar 31, 2014
first game
Jan 16, 2016
last game

Wins vs losses

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

N= 18

Best & worst Ancient One (n ≥ 5)

  • Best
  • Personal nemesis
  • Unique AOs faced 8

Net record

+2
10 victories minus 8 defeats. Ahead of the 50/50 line by 5.6 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= 18

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= 16

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= 12

Where they sit among peers

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

N= 716
45%ile

Below the median — outperforms 45% 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.

7.0eff. AOs

Career is spread across many Ancient Ones. Top foe: Cthulhu (17% of all games). 8 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= 3
Ancient One Community loss % Personal wins Personal win %
Cthulhu 56% 2 / 3 66.7%

All Ancient Ones faced

Click a column header to sort.

N= 18
Ancient One Games Wins Win %
Cthulhu 3 2 66.7%
Ithaqua 3 1 33.3%
Yog-Sothoth 3 2 66.7%
Shub-Niggurath 3 3 100.0%
Yig 2 1 50.0%
Azathoth 2 1 50.0%
Rise of the Elder Things 1 0 0.0%
Syzygy 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= 84

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= 87

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.

17.0eff. chars

Most-played: Charlie (9% of all games). 22 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= 16

Expansions mixed per game

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

N= 18

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= 24

Time & Activity

Time at the table

Across 18 timed games. Game length is self-reported; the rare sub-30-minute entries (data slips) are excluded.

N= 18
58h
Roughly 58h spent summoning horrors. Averaging 193 min per game (+22 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= 18

Quick wins or long grinds?

24min
Their victories average 204 min and defeats 180 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= 16

Games per year

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

N= 18

Records

Trophy case

Career bests and lifetime tallies.

12
Best score
2h
Fastest victory
6h
Longest game
6
Biggest team
31
Monsters defeated
2
Investigators lost

How their games end

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

N= 18

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= 18