| applmlk vs Jin | 42–68 | 38.18% |
| applmlk vs Reina | 45–62 | 42.06% |
| applmlk vs Dragunov | 31–58 | 34.83% |
| applmlk vs Kazuya | 29–58 | 33.33% |
| applmlk vs Steve | 30–56 | 34.88% |
| applmlk vs King | 26–53 | 32.91% |
| applmlk vs Asuka | 35–35 | 50.00% |
| applmlk vs Victor | 24–41 | 36.92% |
| applmlk vs Bryan | 24–39 | 38.10% |
| applmlk vs Hwoarang | 20–40 | 33.33% |
| applmlk vs Lili | 22–38 | 36.67% |
| applmlk vs Law | 24–33 | 42.11% |
| applmlk vs Eddy | 11–41 | 21.15% |
| applmlk vs Yoshimitsu | 24–24 | 50.00% |
| applmlk vs Jun | 15–26 | 36.59% |
| applmlk vs Lars | 14–25 | 35.90% |
| applmlk vs Devil Jin | 17–18 | 48.57% |
| applmlk vs Xiaoyu | 13–17 | 43.33% |
| applmlk vs Azucena | 10–17 | 37.04% |
| applmlk vs Lee | 6–20 | 23.08% |
| applmlk vs Lidia | 11–10 | 52.38% |
| applmlk vs Alisa | 10–9 | 52.63% |
| applmlk vs Heihachi | 11–7 | 61.11% |
| applmlk vs Paul | 3–13 | 18.75% |
| applmlk vs Feng | 12–4 | 75.00% |
| applmlk vs Leo | 5–11 | 31.25% |
| applmlk vs Claudio | 3–13 | 18.75% |
| applmlk vs Nina | 5–7 | 41.67% |
| applmlk vs Leroy | 5–7 | 41.67% |
| applmlk vs Jack-8 | 4–6 | 40.00% |
| applmlk vs Zafina | 7–3 | 70.00% |
| applmlk vs Raven | 4–6 | 40.00% |
| applmlk vs Kuma | 2–7 | 22.22% |
| applmlk vs Panda | 4–5 | 44.44% |
| applmlk vs Shaheen | 0–8 | 0.00% |
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.