| pleasenevermind vs Heihachi | 23–8 | 74.19% |
| pleasenevermind vs Jin | 13–5 | 72.22% |
| pleasenevermind vs Reina | 9–5 | 64.29% |
| pleasenevermind vs Kazuya | 5–7 | 41.67% |
| pleasenevermind vs Dragunov | 6–4 | 60.00% |
| pleasenevermind vs Xiaoyu | 4–5 | 44.44% |
| pleasenevermind vs Lili | 5–4 | 55.56% |
| pleasenevermind vs Lee | 3–5 | 37.50% |
| pleasenevermind vs Devil Jin | 5–2 | 71.43% |
| pleasenevermind vs Lars | 7–0 | 100.00% |
| pleasenevermind vs Azucena | 5–2 | 71.43% |
| pleasenevermind vs Bryan | 2–4 | 33.33% |
| pleasenevermind vs Claudio | 3–3 | 50.00% |
| pleasenevermind vs Jun | 4–2 | 66.67% |
| pleasenevermind vs Jack-8 | 3–2 | 60.00% |
| pleasenevermind vs Feng | 3–2 | 60.00% |
| pleasenevermind vs Steve | 5–0 | 100.00% |
| pleasenevermind vs Leo | 3–2 | 60.00% |
| pleasenevermind vs King | 2–2 | 50.00% |
| pleasenevermind vs Hwoarang | 4–0 | 100.00% |
| pleasenevermind vs Paul | 3–1 | 75.00% |
| pleasenevermind vs Law | 2–2 | 50.00% |
| pleasenevermind vs Lidia | 2–2 | 50.00% |
| pleasenevermind vs Yoshimitsu | 2–1 | 66.67% |
| pleasenevermind vs Leroy | 1–2 | 33.33% |
| pleasenevermind vs Nina | 1–1 | 50.00% |
| pleasenevermind vs Asuka | 2–0 | 100.00% |
| pleasenevermind vs Kuma | 0–2 | 0.00% |
| pleasenevermind vs Panda | 2–0 | 100.00% |
| pleasenevermind vs Zafina | 1–1 | 50.00% |
| pleasenevermind vs Victor | 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.