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Zirconium

Overview

19
Games logged
18 won, 1 lost.
94.7%
Personal win rate
+34.6 pts vs community (60.2%).
139
Days active
19.0 games / year on average.
Preston
Favorite investigator
Most-played character.
14
Longest win streak
Consecutive victories in a row.
1
Longest loss streak
Consecutive defeats in a row.

Career arc

May 7, 2026
first game
Sep 23, 2026
last game

Wins vs losses

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

N= 19

Best & worst Ancient One (n ≥ 5)

  • Best —
  • Personal nemesis —
  • Unique AOs faced 13

Net record

+17
18 victories minus 1 defeats. Ahead of the 50/50 line by 44.7 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= 19

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= 11

Where they sit among peers

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

N= 723
93%ile

Top-quartile player — outperforms 93% of contributors with 5+ games.

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.

10.9eff. AOs

Career is spread across many Ancient Ones. Top foe: Cthulhu (16% of all games). 13 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 55% 2 / 3 66.7%

All Ancient Ones faced

Click a column header to sort.

N= 19
Ancient One Games Wins Win %
Cthulhu 3 2 66.7%
Azathoth 2 2 100.0%
Hastur 2 2 100.0%
Hypnos 2 2 100.0%
Shub-Niggurath 2 2 100.0%
Abhoth 1 1 100.0%
Antediluvium 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%
Yig 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= 48

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= 44

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.

28.9eff. chars

Most-played: Dexter (5% of all games). 36 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= 19

Expansions mixed per game

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

N= 19

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= 133

Time & Activity

Time at the table

Across 9 timed games. Game length is self-reported; the rare sub-30-minute entries (data slips) are excluded.

N= 9
15h
Roughly 15h 15m spent summoning horrors. Averaging 102 min per game (−69 min vs the community's 171 min).

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= 17

Records

Trophy case

Career bests and lifetime tallies.

-3
Best score (lowest win)
51m
Fastest victory
2h
Longest game
4
Biggest team
22
Monsters defeated
0
Investigators lost

How their games end

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

N= 19

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= 19