| Apple_King32 vs Kazuya | 62–58 | 51.67% |
| Apple_King32 vs King | 62–54 | 53.45% |
| Apple_King32 vs Jin | 53–57 | 48.18% |
| Apple_King32 vs Bryan | 47–59 | 44.34% |
| Apple_King32 vs Hwoarang | 70–31 | 69.31% |
| Apple_King32 vs Paul | 48–46 | 51.06% |
| Apple_King32 vs Dragunov | 42–48 | 46.67% |
| Apple_King32 vs Lee | 41–48 | 46.07% |
| Apple_King32 vs Steve | 42–43 | 49.41% |
| Apple_King32 vs Lars | 46–35 | 56.79% |
| Apple_King32 vs Law | 40–38 | 51.28% |
| Apple_King32 vs Reina | 31–44 | 41.33% |
| Apple_King32 vs Nina | 27–43 | 38.57% |
| Apple_King32 vs Devil Jin | 34–30 | 53.12% |
| Apple_King32 vs Jun | 33–29 | 53.23% |
| Apple_King32 vs Yoshimitsu | 27–33 | 45.00% |
| Apple_King32 vs Azucena | 19–39 | 32.76% |
| Apple_King32 vs Raven | 36–22 | 62.07% |
| Apple_King32 vs Lili | 21–36 | 36.84% |
| Apple_King32 vs Victor | 29–28 | 50.88% |
| Apple_King32 vs Asuka | 25–28 | 47.17% |
| Apple_King32 vs Heihachi | 26–24 | 52.00% |
| Apple_King32 vs Leo | 29–20 | 59.18% |
| Apple_King32 vs Jack-8 | 20–28 | 41.67% |
| Apple_King32 vs Lidia | 24–23 | 51.06% |
| Apple_King32 vs Feng | 20–26 | 43.48% |
| Apple_King32 vs Eddy | 22–17 | 56.41% |
| Apple_King32 vs Claudio | 19–19 | 50.00% |
| Apple_King32 vs Alisa | 22–14 | 61.11% |
| Apple_King32 vs Leroy | 15–17 | 46.88% |
| Apple_King32 vs Xiaoyu | 19–12 | 61.29% |
| Apple_King32 vs Shaheen | 14–14 | 50.00% |
| Apple_King32 vs Kuma | 10–18 | 35.71% |
| Apple_King32 vs Clive | 7–5 | 58.33% |
| Apple_King32 vs Zafina | 4–3 | 57.14% |
| Apple_King32 vs Panda | 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.