| mooocowne vs Kazuya | 43–67 | 39.09% |
| mooocowne vs Heihachi | 30–65 | 31.58% |
| mooocowne vs Jin | 38–34 | 52.78% |
| mooocowne vs Dragunov | 19–35 | 35.19% |
| mooocowne vs King | 15–24 | 38.46% |
| mooocowne vs Reina | 15–22 | 40.54% |
| mooocowne vs Steve | 16–20 | 44.44% |
| mooocowne vs Bryan | 12–22 | 35.29% |
| mooocowne vs Victor | 13–19 | 40.62% |
| mooocowne vs Lili | 7–22 | 24.14% |
| mooocowne vs Yoshimitsu | 11–12 | 47.83% |
| mooocowne vs Law | 10–12 | 45.45% |
| mooocowne vs Eddy | 4–18 | 18.18% |
| mooocowne vs Paul | 7–13 | 35.00% |
| mooocowne vs Hwoarang | 4–13 | 23.53% |
| mooocowne vs Devil Jin | 5–12 | 29.41% |
| mooocowne vs Claudio | 12–5 | 70.59% |
| mooocowne vs Nina | 8–9 | 47.06% |
| mooocowne vs Xiaoyu | 6–9 | 40.00% |
| mooocowne vs Feng | 2–12 | 14.29% |
| mooocowne vs Leo | 7–7 | 50.00% |
| mooocowne vs Azucena | 2–12 | 14.29% |
| mooocowne vs Lidia | 7–7 | 50.00% |
| mooocowne vs Jun | 7–6 | 53.85% |
| mooocowne vs Lee | 1–7 | 12.50% |
| mooocowne vs Kuma | 4–4 | 50.00% |
| mooocowne vs Leroy | 5–3 | 62.50% |
| mooocowne vs Alisa | 0–6 | 0.00% |
| mooocowne vs Zafina | 3–3 | 50.00% |
| mooocowne vs Asuka | 2–3 | 40.00% |
| mooocowne vs Shaheen | 4–1 | 80.00% |
| mooocowne vs Lars | 0–4 | 0.00% |
| mooocowne vs Raven | 2–2 | 50.00% |
| mooocowne vs Jack-8 | 0–2 | 0.00% |
| mooocowne vs Panda | 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.