| Cv_Crow vs Hwoarang | 22–16 | 57.89% |
| Cv_Crow vs Victor | 15–18 | 45.45% |
| Cv_Crow vs Dragunov | 18–9 | 66.67% |
| Cv_Crow vs Jin | 11–15 | 42.31% |
| Cv_Crow vs Reina | 13–12 | 52.00% |
| Cv_Crow vs Law | 10–14 | 41.67% |
| Cv_Crow vs Paul | 12–10 | 54.55% |
| Cv_Crow vs Lili | 13–9 | 59.09% |
| Cv_Crow vs Bryan | 11–9 | 55.00% |
| Cv_Crow vs Kazuya | 8–10 | 44.44% |
| Cv_Crow vs Azucena | 6–9 | 40.00% |
| Cv_Crow vs Feng | 9–5 | 64.29% |
| Cv_Crow vs Eddy | 7–6–1 | 53.85% |
| Cv_Crow vs Yoshimitsu | 7–6 | 53.85% |
| Cv_Crow vs Asuka | 8–5 | 61.54% |
| Cv_Crow vs Lars | 6–7 | 46.15% |
| Cv_Crow vs Claudio | 5–8 | 38.46% |
| Cv_Crow vs Lee | 3–10 | 23.08% |
| Cv_Crow vs Alisa | 4–8 | 33.33% |
| Cv_Crow vs Devil Jin | 9–2 | 81.82% |
| Cv_Crow vs Jun | 7–4 | 63.64% |
| Cv_Crow vs Steve | 7–3 | 70.00% |
| Cv_Crow vs Leo | 4–6 | 40.00% |
| Cv_Crow vs Leroy | 3–7 | 30.00% |
| Cv_Crow vs King | 9–0 | 100.00% |
| Cv_Crow vs Kuma | 1–8 | 11.11% |
| Cv_Crow vs Nina | 5–1 | 83.33% |
| Cv_Crow vs Raven | 4–2 | 66.67% |
| Cv_Crow vs Jack-8 | 3–2 | 60.00% |
| Cv_Crow vs Armor King | 3–1 | 75.00% |
| Cv_Crow vs Xiaoyu | 0–3 | 0.00% |
| Cv_Crow vs Shaheen | 3–0 | 100.00% |
| Cv_Crow vs Zafina | 2–1 | 66.67% |
| Cv_Crow vs Panda | 0–2 | 0.00% |
| Cv_Crow vs Heihachi | 0–2 | 0.00% |
| Cv_Crow vs Fahkumram | 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.