| PrettyP vs Steve | 15–42 | 26.32% |
| PrettyP vs Heihachi | 8–48 | 14.29% |
| PrettyP vs Reina | 13–33 | 28.26% |
| PrettyP vs Azucena | 12–32 | 27.27% |
| PrettyP vs Jin | 10–32 | 23.81% |
| PrettyP vs Hwoarang | 7–33 | 17.50% |
| PrettyP vs Kazuya | 15–24 | 38.46% |
| PrettyP vs King | 10–28 | 26.32% |
| PrettyP vs Xiaoyu | 10–24 | 29.41% |
| PrettyP vs Jun | 6–28 | 17.65% |
| PrettyP vs Yoshimitsu | 10–19 | 34.48% |
| PrettyP vs Dragunov | 9–18 | 33.33% |
| PrettyP vs Law | 7–19 | 26.92% |
| PrettyP vs Lili | 10–16 | 38.46% |
| PrettyP vs Victor | 4–17 | 19.05% |
| PrettyP vs Leo | 6–14 | 30.00% |
| PrettyP vs Bryan | 4–14 | 22.22% |
| PrettyP vs Lars | 4–14 | 22.22% |
| PrettyP vs Lidia | 3–14 | 17.65% |
| PrettyP vs Devil Jin | 4–11 | 26.67% |
| PrettyP vs Raven | 3–12 | 20.00% |
| PrettyP vs Nina | 1–12 | 7.69% |
| PrettyP vs Leroy | 1–12 | 7.69% |
| PrettyP vs Asuka | 8–4 | 66.67% |
| PrettyP vs Lee | 4–6 | 40.00% |
| PrettyP vs Eddy | 0–10 | 0.00% |
| PrettyP vs Feng | 1–8 | 11.11% |
| PrettyP vs Jack-8 | 0–8 | 0.00% |
| PrettyP vs Paul | 2–5 | 28.57% |
| PrettyP vs Claudio | 1–5 | 16.67% |
| PrettyP vs Shaheen | 3–2 | 60.00% |
| PrettyP vs Zafina | 1–4 | 20.00% |
| PrettyP vs Kuma | 0–4 | 0.00% |
| PrettyP vs Panda | 2–2 | 50.00% |
| PrettyP vs Alisa | 0–3 | 0.00% |
| PrettyP vs Clive | 0–2 | 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.