| Pr1v9two vs Jin | 19–29 | 39.58% |
| Pr1v9two vs King | 15–28 | 34.88% |
| Pr1v9two vs Hwoarang | 19–24 | 44.19% |
| Pr1v9two vs Reina | 19–21 | 47.50% |
| Pr1v9two vs Kazuya | 12–22 | 35.29% |
| Pr1v9two vs Law | 13–19 | 40.62% |
| Pr1v9two vs Eddy | 6–25 | 19.35% |
| Pr1v9two vs Victor | 14–10 | 58.33% |
| Pr1v9two vs Steve | 10–12 | 45.45% |
| Pr1v9two vs Lars | 9–12 | 42.86% |
| Pr1v9two vs Yoshimitsu | 5–14 | 26.32% |
| Pr1v9two vs Feng | 6–13 | 31.58% |
| Pr1v9two vs Bryan | 6–12 | 33.33% |
| Pr1v9two vs Jun | 3–15 | 16.67% |
| Pr1v9two vs Lili | 12–4 | 75.00% |
| Pr1v9two vs Asuka | 4–11 | 26.67% |
| Pr1v9two vs Lee | 5–10 | 33.33% |
| Pr1v9two vs Jack-8 | 7–7 | 50.00% |
| Pr1v9two vs Azucena | 8–6 | 57.14% |
| Pr1v9two vs Xiaoyu | 6–7 | 46.15% |
| Pr1v9two vs Devil Jin | 4–9 | 30.77% |
| Pr1v9two vs Alisa | 9–4 | 69.23% |
| Pr1v9two vs Dragunov | 9–3 | 75.00% |
| Pr1v9two vs Leroy | 5–7 | 41.67% |
| Pr1v9two vs Paul | 2–9 | 18.18% |
| Pr1v9two vs Lidia | 2–8 | 20.00% |
| Pr1v9two vs Nina | 3–5 | 37.50% |
| Pr1v9two vs Kuma | 1–7 | 12.50% |
| Pr1v9two vs Claudio | 3–4 | 42.86% |
| Pr1v9two vs Raven | 1–6 | 14.29% |
| Pr1v9two vs Leo | 1–3 | 25.00% |
| Pr1v9two vs Panda | 2–1 | 66.67% |
| Pr1v9two vs Heihachi | 1–2 | 33.33% |
| Pr1v9two vs Clive | 1–2 | 33.33% |
| Pr1v9two vs Shaheen | 0–2 | 0.00% |
| Pr1v9two vs Armor King | 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.