| APPLESEA vs Kazuya | 36–26 | 58.06% |
| APPLESEA vs Dragunov | 20–38 | 34.48% |
| APPLESEA vs Reina | 27–21–1 | 56.25% |
| APPLESEA vs Paul | 29–19 | 60.42% |
| APPLESEA vs Jin | 32–15 | 68.09% |
| APPLESEA vs Hwoarang | 21–22 | 48.84% |
| APPLESEA vs King | 16–25 | 39.02% |
| APPLESEA vs Devil Jin | 19–21 | 47.50% |
| APPLESEA vs Steve | 18–21 | 46.15% |
| APPLESEA vs Bryan | 17–21 | 44.74% |
| APPLESEA vs Azucena | 13–14 | 48.15% |
| APPLESEA vs Leo | 11–15 | 42.31% |
| APPLESEA vs Alisa | 8–18 | 30.77% |
| APPLESEA vs Claudio | 13–13 | 50.00% |
| APPLESEA vs Xiaoyu | 9–15 | 37.50% |
| APPLESEA vs Jack-8 | 12–12 | 50.00% |
| APPLESEA vs Yoshimitsu | 15–8 | 65.22% |
| APPLESEA vs Lars | 18–5 | 78.26% |
| APPLESEA vs Law | 8–13 | 38.10% |
| APPLESEA vs Lili | 13–8 | 61.90% |
| APPLESEA vs Nina | 9–12 | 42.86% |
| APPLESEA vs Victor | 11–10 | 52.38% |
| APPLESEA vs Jun | 14–6 | 70.00% |
| APPLESEA vs Asuka | 11–8 | 57.89% |
| APPLESEA vs Shaheen | 9–9 | 50.00% |
| APPLESEA vs Lee | 7–9 | 43.75% |
| APPLESEA vs Leroy | 6–10 | 37.50% |
| APPLESEA vs Miary Zo | 10–3 | 76.92% |
| APPLESEA vs Feng | 6–6 | 50.00% |
| APPLESEA vs Kuma | 8–4 | 66.67% |
| APPLESEA vs Eddy | 2–9 | 18.18% |
| APPLESEA vs Raven | 9–1 | 90.00% |
| APPLESEA vs Lidia | 5–4 | 55.56% |
| APPLESEA vs Zafina | 2–5 | 28.57% |
| APPLESEA vs Clive | 3–3 | 50.00% |
| APPLESEA vs Anna | 1–3 | 25.00% |
| APPLESEA vs Heihachi | 3–0 | 100.00% |
| APPLESEA vs Armor King | 2–1 | 66.67% |
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.