| Appleim vs Hwoarang | 148–143 | 50.86% |
| Appleim vs Bryan | 146–143 | 50.52% |
| Appleim vs Kazuya | 167–110 | 60.29% |
| Appleim vs Dragunov | 117–113 | 50.87% |
| Appleim vs Jin | 111–100 | 52.61% |
| Appleim vs Paul | 125–82 | 60.39% |
| Appleim vs Steve | 112–93–1 | 54.63% |
| Appleim vs Reina | 94–94 | 50.00% |
| Appleim vs King | 81–104 | 43.78% |
| Appleim vs Feng | 90–83 | 52.02% |
| Appleim vs Yoshimitsu | 75–92 | 44.91% |
| Appleim vs Heihachi | 75–86 | 46.58% |
| Appleim vs Asuka | 65–93 | 41.14% |
| Appleim vs Victor | 68–83 | 45.03% |
| Appleim vs Jack-8 | 60–87 | 40.82% |
| Appleim vs Lee | 68–79 | 46.26% |
| Appleim vs Law | 79–67 | 54.11% |
| Appleim vs Lili | 64–80 | 44.44% |
| Appleim vs Alisa | 51–81 | 38.64% |
| Appleim vs Lars | 67–62 | 51.94% |
| Appleim vs Shaheen | 56–61 | 47.86% |
| Appleim vs Leroy | 61–49 | 55.45% |
| Appleim vs Claudio | 55–52 | 51.40% |
| Appleim vs Devil Jin | 55–51 | 51.89% |
| Appleim vs Nina | 42–57 | 42.42% |
| Appleim vs Jun | 41–56 | 42.27% |
| Appleim vs Lidia | 50–47 | 51.55% |
| Appleim vs Azucena | 47–48 | 49.47% |
| Appleim vs Eddy | 45–46 | 49.45% |
| Appleim vs Xiaoyu | 46–42 | 52.27% |
| Appleim vs Kuma | 41–47 | 46.59% |
| Appleim vs Leo | 34–36 | 48.57% |
| Appleim vs Raven | 25–45 | 35.71% |
| Appleim vs Armor King | 32–27 | 54.24% |
| Appleim vs Zafina | 26–32 | 44.83% |
| Appleim vs Clive | 26–26 | 50.00% |
| Appleim vs Panda | 11–9 | 55.00% |
| Appleim vs Fahkumram | 12–8 | 60.00% |
| Appleim vs Anna | 6–7 | 46.15% |
| Appleim vs Miary Zo | 4–5 | 44.44% |
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.