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tsoupuno

Overview

10
Games logged
8 won, 2 lost.
80.0%
Personal win rate
+19.8 pts vs community (60.2%).
215
Days active
10.0 games / year on average.
Sefina
Favorite investigator
Most-played character.
4
Longest win streak
Consecutive victories in a row.
1
Longest loss streak
Consecutive defeats in a row.

Career arc

Feb 27, 2026
first game
Oct 1, 2026
last game

Wins vs losses

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

N= 10

Best & worst Ancient One (n ≥ 5)

  • Best —
  • Personal nemesis —
  • Unique AOs faced 9

Net record

+6
8 victories minus 2 defeats. Ahead of the 50/50 line by 30.0 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= 10

Where they sit among peers

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

N= 723
79%ile

Top-quartile player — outperforms 79% 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.

8.3eff. AOs

Career is spread across many Ancient Ones. Top foe: Ithaqua (20% of all games). 9 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= 1
Ancient One Community loss % Personal wins Personal win %
Cthulhu 55% 1 / 1 100.0%

All Ancient Ones faced

Click a column header to sort.

N= 10
Ancient One Games Wins Win %
Ithaqua 2 2 100.0%
Abhoth 1 1 100.0%
Antediluvium 1 1 100.0%
Cthulhu 1 1 100.0%
Nyarlathotep 1 1 100.0%
Shub-Niggurath 1 1 100.0%
Shudde M'ell 1 1 100.0%
Syzygy 1 0 0.0%
Yog-Sothoth 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= 33

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= 9

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.

29.6eff. chars

Most-played: Kate (6% of all games). 35 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= 10

Expansions mixed per game

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

N= 10

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= 80

Time & Activity

Time at the table

Across 10 timed games. Game length is self-reported; the rare sub-30-minute entries (data slips) are excluded.

N= 10
44h
Roughly 43h 30m spent summoning horrors. Averaging 261 min per game (+90 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= 10

Quick wins or long grinds?

68min
Their victories average 248 min and defeats 315 min — they tend to close out the faster games.

Records

Trophy case

Career bests and lifetime tallies.

-10
Best score (lowest win)
2h 15m
Fastest victory
6h 45m
Longest game
4
Biggest team
16
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= 10

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= 10