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Jaime

Overview

11
Games logged
7 won, 4 lost.
63.6%
Personal win rate
+3.5 pts vs community (60.1%).
8
Days active
11.0 games / year on average.
Akachi
Favorite investigator
Most-played character.
4
Longest win streak
Consecutive victories in a row.
2
Longest loss streak
Consecutive defeats in a row.

Career arc

Jul 30, 2024
first game
Aug 7, 2024
last game

Wins vs losses

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

N= 11

Best & worst Ancient One (n ≥ 5)

  • Best
  • Personal nemesis
  • Unique AOs faced 10

Net record

+3
7 victories minus 4 defeats. Ahead of the 50/50 line by 13.6 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= 11

Where they sit among peers

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

N= 716
60%ile

Above the median — outperforms 60% 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.

9.3eff. AOs

Career is spread across many Ancient Ones. Top foe: Shudde M'ell (18% of all games). 10 unique AOs ever faced.

All Ancient Ones faced

Click a column header to sort.

N= 11
Ancient One Games Wins Win %
Shudde M'ell 2 1 50.0%
Abhoth 1 1 100.0%
Antediluvium 1 1 100.0%
Atlach-Nacha 1 0 0.0%
Hastur 1 1 100.0%
Azathoth 1 1 100.0%
Hypnos 1 0 0.0%
Nephren-Ka 1 0 0.0%
Rise of the Elder Things 1 1 100.0%
Shub-Niggurath 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= 42

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= 30

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.

43.8eff. chars

Most-played: Akachi (4% of all games). 53 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= 9

Expansions mixed per game

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

N= 11

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= 41

Time & Activity

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= 11

Records

Trophy case

Career bests and lifetime tallies.

8
Biggest team
30
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= 11

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= 11