| Cartier Crow vs Azucena | 17–7 | 70.83% |
| Cartier Crow vs Reina | 17–5 | 77.27% |
| Cartier Crow vs King | 8–11 | 42.11% |
| Cartier Crow vs Eddy | 6–13 | 31.58% |
| Cartier Crow vs Dragunov | 10–6 | 62.50% |
| Cartier Crow vs Kazuya | 9–6 | 60.00% |
| Cartier Crow vs Steve | 10–3 | 76.92% |
| Cartier Crow vs Jun | 7–6 | 53.85% |
| Cartier Crow vs Victor | 8–5 | 61.54% |
| Cartier Crow vs Hwoarang | 8–4 | 66.67% |
| Cartier Crow vs Jin | 4–8 | 33.33% |
| Cartier Crow vs Law | 6–5 | 54.55% |
| Cartier Crow vs Lili | 9–2 | 81.82% |
| Cartier Crow vs Leroy | 7–4 | 63.64% |
| Cartier Crow vs Bryan | 5–2 | 71.43% |
| Cartier Crow vs Alisa | 6–0 | 100.00% |
| Cartier Crow vs Heihachi | 4–2 | 66.67% |
| Cartier Crow vs Raven | 3–2 | 60.00% |
| Cartier Crow vs Lars | 4–0 | 100.00% |
| Cartier Crow vs Claudio | 3–1 | 75.00% |
| Cartier Crow vs Nina | 2–2 | 50.00% |
| Cartier Crow vs Lee | 2–2 | 50.00% |
| Cartier Crow vs Zafina | 1–3 | 25.00% |
| Cartier Crow vs Lidia | 4–0 | 100.00% |
| Cartier Crow vs Yoshimitsu | 2–1 | 66.67% |
| Cartier Crow vs Xiaoyu | 1–2 | 33.33% |
| Cartier Crow vs Asuka | 1–2 | 33.33% |
| Cartier Crow vs Feng | 1–2 | 33.33% |
| Cartier Crow vs Leo | 3–0 | 100.00% |
| Cartier Crow vs Kuma | 3–0 | 100.00% |
| Cartier Crow vs Clive | 1–2 | 33.33% |
| Cartier Crow vs Anna | 3–0 | 100.00% |
| Cartier Crow vs Paul | 2–0 | 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.