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mos_basik

49
Games logged
32 won, 17 lost.
65.3%
Personal win rate
+5.3 pts vs community (60.0%).
900
Days active
19.9 games / year on average.
Trish
Favorite investigator
Most-played character.
25
Longest win streak
Consecutive victories in a row.
6
Longest loss streak
Consecutive defeats in a row.

Career arc

Sep 27, 2023
first game
Mar 15, 2026
last game

Wins vs losses

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

N= 49

Best & worst Ancient One (n ≥ 5)

  • Best Yog-Sothoth — 83.3% (n=6)
  • Personal nemesis Yig — 50.0% (n=6)
  • Unique AOs faced 11

Above or below the curve

For each Ancient One this contributor has faced at least 5 times, the gap between their personal win rate and how the community does against the same foe. Green bars = they beat the community average; red bars = they trail it.

N= 28

Win rate by Ancient One

All 11 Ancient Ones this contributor has faced. Watch out for the small samples — hover for game count per bar.

N= 49

Most-faced Ancient Ones

Where this contributor spends their time. Sorted by total games against each foe.

N= 49

Career mix by Ancient One

Each slice is the share of this contributor's career spent against that foe. Tail of 4 less-played AOs is grouped under "Other".

N= 49

Wins per Ancient One

Raw victory counts — the AOs that have padded the trophy shelf the most. Different from win rate: a low-rate AO they've played a hundred times can still rack up wins.

N= 49

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= 48

Personal vs community win rate

Each Ancient One the contributor has fought multiple times. The diagonal is the community baseline — dots above it mean they outperform other players against that foe, dots below mean they trail. Dot size shows how many games they've logged against it.

N= 48

Where they sit among peers

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

N= 713
62%ile

Above the median — outperforms 62% 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.

10.0eff. AOs

Career is spread across many Ancient Ones. Top foe: Yig (12% of all games). 11 unique AOs ever faced.

Net record

+15
32 victories minus 17 defeats. Ahead of the 50/50 line by 15.3 pts.

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= 4
Ancient One Community loss % Personal wins Personal win %
Cthulhu 56% 2 / 4 50.0%

All Ancient Ones faced

Click a column header to sort.

N= 49
Ancient One Games Wins Win %
Yig 6 3 50.0%
Yog-Sothoth 6 5 83.3%
Nephren-Ka 6 3 50.0%
Azathoth 5 3 60.0%
Shub-Niggurath 5 4 80.0%
Cthulhu 4 2 50.0%
Abhoth 4 2 50.0%
Ithaqua 4 2 50.0%
Rise of the Elder Things 4 3 75.0%
Syzygy 4 4 100.0%
Hypnos 1 1 100.0%