| Cadwallader vs Lidia | 9–11 | 45.00% |
| Cadwallader vs Yoshimitsu | 6–11 | 35.29% |
| Cadwallader vs Paul | 5–10 | 33.33% |
| Cadwallader vs Hwoarang | 5–10 | 33.33% |
| Cadwallader vs Steve | 4–10 | 28.57% |
| Cadwallader vs Jin | 6–7 | 46.15% |
| Cadwallader vs Reina | 5–8 | 38.46% |
| Cadwallader vs King | 1–10 | 9.09% |
| Cadwallader vs Victor | 4–5 | 44.44% |
| Cadwallader vs Bryan | 4–4 | 50.00% |
| Cadwallader vs Heihachi | 0–8 | 0.00% |
| Cadwallader vs Asuka | 1–6 | 14.29% |
| Cadwallader vs Alisa | 0–7 | 0.00% |
| Cadwallader vs Devil Jin | 0–6 | 0.00% |
| Cadwallader vs Dragunov | 3–3 | 50.00% |
| Cadwallader vs Nina | 4–2 | 66.67% |
| Cadwallader vs Kuma | 0–6 | 0.00% |
| Cadwallader vs Jun | 1–5 | 16.67% |
| Cadwallader vs Azucena | 2–4 | 33.33% |
| Cadwallader vs Lili | 4–1 | 80.00% |
| Cadwallader vs Lee | 2–3 | 40.00% |
| Cadwallader vs Eddy | 2–3 | 40.00% |
| Cadwallader vs Law | 2–2 | 50.00% |
| Cadwallader vs Kazuya | 0–4 | 0.00% |
| Cadwallader vs Leo | 2–2 | 50.00% |
| Cadwallader vs Shaheen | 0–4 | 0.00% |
| Cadwallader vs Xiaoyu | 2–1 | 66.67% |
| Cadwallader vs Feng | 0–3 | 0.00% |
| Cadwallader vs Lars | 1–2 | 33.33% |
| Cadwallader vs Jack-8 | 0–2 | 0.00% |
| Cadwallader vs Zafina | 2–0 | 100.00% |
| Cadwallader vs Leroy | 2–0 | 100.00% |
| Cadwallader vs Claudio | 1–0 | 100.00% |
| Cadwallader vs Panda | 1–0 | 100.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.