| Miss Maple vs Hwoarang | 35–57 | 38.04% |
| Miss Maple vs Jin | 35–51 | 40.70% |
| Miss Maple vs King | 37–38 | 49.33% |
| Miss Maple vs Reina | 22–42 | 34.38% |
| Miss Maple vs Law | 26–37 | 41.27% |
| Miss Maple vs Kazuya | 24–38 | 38.71% |
| Miss Maple vs Nina | 28–31 | 47.46% |
| Miss Maple vs Eddy | 15–40 | 27.27% |
| Miss Maple vs Steve | 14–39 | 26.42% |
| Miss Maple vs Lili | 25–27 | 48.08% |
| Miss Maple vs Bryan | 14–30 | 31.82% |
| Miss Maple vs Dragunov | 23–20 | 53.49% |
| Miss Maple vs Azucena | 14–26 | 35.00% |
| Miss Maple vs Paul | 14–24 | 36.84% |
| Miss Maple vs Victor | 16–22 | 42.11% |
| Miss Maple vs Jun | 8–28 | 22.22% |
| Miss Maple vs Fahkumram | 11–23 | 32.35% |
| Miss Maple vs Yoshimitsu | 16–16 | 50.00% |
| Miss Maple vs Lee | 21–11 | 65.62% |
| Miss Maple vs Xiaoyu | 12–19 | 38.71% |
| Miss Maple vs Lars | 8–18 | 30.77% |
| Miss Maple vs Devil Jin | 7–18 | 28.00% |
| Miss Maple vs Leo | 13–12 | 52.00% |
| Miss Maple vs Asuka | 8–16 | 33.33% |
| Miss Maple vs Jack-8 | 12–11 | 52.17% |
| Miss Maple vs Heihachi | 10–13 | 43.48% |
| Miss Maple vs Feng | 8–11 | 42.11% |
| Miss Maple vs Leroy | 10–8 | 55.56% |
| Miss Maple vs Clive | 9–8 | 52.94% |
| Miss Maple vs Alisa | 6–8 | 42.86% |
| Miss Maple vs Claudio | 3–11 | 21.43% |
| Miss Maple vs Kuma | 7–7 | 50.00% |
| Miss Maple vs Anna | 4–7 | 36.36% |
| Miss Maple vs Lidia | 4–6 | 40.00% |
| Miss Maple vs Shaheen | 3–6 | 33.33% |
| Miss Maple vs Zafina | 0–5 | 0.00% |
| Miss Maple vs Panda | 0–4 | 0.00% |
| Miss Maple vs Raven | 1–0 | 100.00% |
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.