| oneandonlyguy vs Heihachi | 38–44 | 46.34% |
| oneandonlyguy vs King | 41–25 | 62.12% |
| oneandonlyguy vs Reina | 39–23 | 62.90% |
| oneandonlyguy vs Bryan | 26–19 | 57.78% |
| oneandonlyguy vs Kazuya | 24–21 | 53.33% |
| oneandonlyguy vs Jin | 22–17 | 56.41% |
| oneandonlyguy vs Hwoarang | 18–12 | 60.00% |
| oneandonlyguy vs Lili | 17–11 | 60.71% |
| oneandonlyguy vs Lars | 10–15 | 40.00% |
| oneandonlyguy vs Steve | 9–14 | 39.13% |
| oneandonlyguy vs Asuka | 15–8 | 65.22% |
| oneandonlyguy vs Paul | 10–12 | 45.45% |
| oneandonlyguy vs Dragunov | 10–12 | 45.45% |
| oneandonlyguy vs Lee | 11–10 | 52.38% |
| oneandonlyguy vs Eddy | 6–15 | 28.57% |
| oneandonlyguy vs Law | 12–8 | 60.00% |
| oneandonlyguy vs Nina | 8–12 | 40.00% |
| oneandonlyguy vs Feng | 9–8 | 52.94% |
| oneandonlyguy vs Yoshimitsu | 12–4 | 75.00% |
| oneandonlyguy vs Xiaoyu | 8–7 | 53.33% |
| oneandonlyguy vs Devil Jin | 10–5 | 66.67% |
| oneandonlyguy vs Jun | 6–8 | 42.86% |
| oneandonlyguy vs Lidia | 6–6 | 50.00% |
| oneandonlyguy vs Azucena | 6–5 | 54.55% |
| oneandonlyguy vs Alisa | 3–7 | 30.00% |
| oneandonlyguy vs Kuma | 9–1 | 90.00% |
| oneandonlyguy vs Raven | 7–3 | 70.00% |
| oneandonlyguy vs Claudio | 5–3 | 62.50% |
| oneandonlyguy vs Leroy | 3–5 | 37.50% |
| oneandonlyguy vs Clive | 2–6 | 25.00% |
| oneandonlyguy vs Leo | 2–5 | 28.57% |
| oneandonlyguy vs Shaheen | 3–4 | 42.86% |
| oneandonlyguy vs Victor | 5–2 | 71.43% |
| oneandonlyguy vs Zafina | 4–1 | 80.00% |
| oneandonlyguy vs Jack-8 | 3–1 | 75.00% |
| oneandonlyguy vs Panda | 3–1 | 75.00% |
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.