| Mad_Animal vs Reina | 39–44 | 46.99% |
| Mad_Animal vs Hwoarang | 38–38 | 50.00% |
| Mad_Animal vs Jin | 29–41 | 41.43% |
| Mad_Animal vs King | 28–41 | 40.58% |
| Mad_Animal vs Steve | 37–31 | 54.41% |
| Mad_Animal vs Lili | 25–34 | 42.37% |
| Mad_Animal vs Azucena | 30–27 | 52.63% |
| Mad_Animal vs Law | 16–30 | 34.78% |
| Mad_Animal vs Nina | 20–24 | 45.45% |
| Mad_Animal vs Jun | 17–25 | 40.48% |
| Mad_Animal vs Dragunov | 21–18 | 53.85% |
| Mad_Animal vs Kazuya | 12–25 | 32.43% |
| Mad_Animal vs Victor | 18–19 | 48.65% |
| Mad_Animal vs Yoshimitsu | 11–18 | 37.93% |
| Mad_Animal vs Miary Zo | 11–16 | 40.74% |
| Mad_Animal vs Asuka | 10–16 | 38.46% |
| Mad_Animal vs Lars | 14–12 | 53.85% |
| Mad_Animal vs Lidia | 12–13 | 48.00% |
| Mad_Animal vs Paul | 10–14 | 41.67% |
| Mad_Animal vs Bryan | 6–17 | 26.09% |
| Mad_Animal vs Clive | 10–13 | 43.48% |
| Mad_Animal vs Alisa | 9–13 | 40.91% |
| Mad_Animal vs Devil Jin | 7–14 | 33.33% |
| Mad_Animal vs Armor King | 8–12 | 40.00% |
| Mad_Animal vs Feng | 7–12 | 36.84% |
| Mad_Animal vs Xiaoyu | 6–12 | 33.33% |
| Mad_Animal vs Eddy | 6–12 | 33.33% |
| Mad_Animal vs Fahkumram | 7–11 | 38.89% |
| Mad_Animal vs Claudio | 9–7 | 56.25% |
| Mad_Animal vs Lee | 3–13 | 18.75% |
| Mad_Animal vs Raven | 8–7 | 53.33% |
| Mad_Animal vs Jack-8 | 6–7 | 46.15% |
| Mad_Animal vs Heihachi | 7–6 | 53.85% |
| Mad_Animal vs Kuma | 5–5 | 50.00% |
| Mad_Animal vs Leo | 3–6 | 33.33% |
| Mad_Animal vs Leroy | 6–2 | 75.00% |
| Mad_Animal vs Zafina | 4–3 | 57.14% |
| Mad_Animal vs Anna | 2–5 | 28.57% |
| Mad_Animal vs Panda | 2–4 | 33.33% |
| Mad_Animal vs Shaheen | 3–2 | 60.00% |
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.