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Mateo

746games
66.3%win rate
[63%, 70%]95% CI

Win-rate trend over time

How this investigator's win rate has shifted, quarter by quarter (at least 5 games per quarter).

N= 745

Mateo vs every Ancient One

Win rate against each Ancient One, with a nudge toward the community average so small samples don't dominate.

N= 746 HOW?

Best matchups

N= 258
  • vs Rise of the Elder Things81.2% (n=38)
  • vs Shub-Niggurath73.5% (n=39)
  • vs Azathoth72.3% (n=37)
  • vs Antediluvium71.4% (n=95)
  • vs Nephren-Ka71.2% (n=49)

Worst matchups

N= 207
  • vs Cthulhu47.0% (n=41)
  • vs Yig57.4% (n=44)
  • vs Atlach-Nacha57.4% (n=37)
  • vs Shudde M'ell58.6% (n=48)
  • vs Syzygy59.6% (n=37)

Best teammates

Partners this investigator wins more often with than apart. Anything above 1.00× is a real boost — 1.20× means the duo wins 20% more often than they do separately.

Modern = teammate boosts recomputed within modern expansion-table play (big-box games, 2018+). Most pooled pair 'synergy' is a ruleset artifact and collapses toward 1.0× under modern conditions. How this works →

  • Lola ×1.40 (78% together, n=51)
  • Leo ×1.28 (69% together, n=71)
  • Rex ×1.24 (82% together, n=55)
  • Jacqueline ×1.20 (75% together, n=106)
  • Akachi ×1.19 (66% together, n=61)
  • Tommy ×1.14 (71% together, n=34)
  • Preston ×1.14 (76% together, n=127)
  • Silas ×1.11 (60% together, n=48)
  • Monterey ×1.10 (71% together, n=86)
  • Patrice ×1.10 (69% together, n=51)
  • Lola ×1.20 (78% together, n=50)
  • Rex ×1.20 (82% together, n=55)
  • Preston ×1.13 (76% together, n=125)
  • Sefina ×1.10 (74% together, n=105)
  • Carson ×1.09 (74% together, n=68)
  • Jacqueline ×1.08 (75% together, n=105)
  • Leo ×1.07 (69% together, n=70)
  • Tommy ×1.07 (71% together, n=34)
  • Monterey ×1.06 (71% together, n=86)
  • William ×1.06 (69% together, n=52)

Rumor success rate

How often rumors get passed in games featuring this investigator.

N= 1,154 HOW?

82.2% [80%, 84%]

Across 1,154 rumors in 666 games. Why this only loosely points at the investigator.