Mateo
736games
66.4%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= 736
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= 736 HOW?
Best matchups
N= 255
- vs Rise of the Elder Things83.0% (n=37)
- vs Shub-Niggurath73.4% (n=39)
- vs Antediluvium72.1% (n=94)
- vs Azathoth71.7% (n=36)
- vs Nephren-Ka71.2% (n=49)
Worst matchups
N= 202
- vs Cthulhu47.0% (n=41)
- vs Yig54.9% (n=41)
- vs Atlach-Nacha57.4% (n=37)
- vs Shudde M'ell58.9% (n=46)
- vs Syzygy59.5% (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 ×1.43 (80% together, n=50)
- Leo ×1.28 (69% together, n=70)
- Rex ×1.24 (82% together, n=55)
- Akachi ×1.21 (67% together, n=60)
- Jacqueline ×1.20 (75% together, n=106)
- Tommy ×1.14 (71% together, n=34)
- Preston ×1.14 (76% together, n=124)
- Silas ×1.11 (60% together, n=48)
- Patrice ×1.11 (69% together, n=49)
- Monterey ×1.10 (71% together, n=85)
- Lola ×1.23 (80% together, n=49)
- Rex ×1.20 (82% together, n=55)
- Preston ×1.14 (76% together, n=122)
- Carson ×1.11 (75% together, n=67)
- Sefina ×1.09 (74% together, n=103)
- Jacqueline ×1.08 (75% together, n=105)
- Leo ×1.07 (68% together, n=69)
- Tommy ×1.06 (71% together, n=34)
- William ×1.06 (69% together, n=52)
- Monterey ×1.05 (71% together, n=85)
Rumor success rate
How often rumors get passed in games featuring this investigator.
N= 1,140 HOW?
82.4% [80%, 84%]
Across 1,140 rumors in 658 games. Why this only loosely points at the investigator.