| PAWGPOUNDER vs Steve | 57–38 | 60.00% |
| PAWGPOUNDER vs King | 39–45 | 46.43% |
| PAWGPOUNDER vs Jin | 45–38 | 54.22% |
| PAWGPOUNDER vs Law | 30–48 | 38.46% |
| PAWGPOUNDER vs Reina | 35–40 | 46.67% |
| PAWGPOUNDER vs Kazuya | 30–37 | 44.78% |
| PAWGPOUNDER vs Hwoarang | 27–34 | 44.26% |
| PAWGPOUNDER vs Clive | 27–31 | 46.55% |
| PAWGPOUNDER vs Jun | 28–26 | 51.85% |
| PAWGPOUNDER vs Victor | 25–27 | 48.08% |
| PAWGPOUNDER vs Heihachi | 20–29 | 40.82% |
| PAWGPOUNDER vs Bryan | 15–32 | 31.91% |
| PAWGPOUNDER vs Asuka | 20–26 | 43.48% |
| PAWGPOUNDER vs Lidia | 25–21 | 54.35% |
| PAWGPOUNDER vs Lars | 23–21 | 52.27% |
| PAWGPOUNDER vs Lili | 21–21 | 50.00% |
| PAWGPOUNDER vs Eddy | 11–28 | 28.21% |
| PAWGPOUNDER vs Azucena | 18–20 | 47.37% |
| PAWGPOUNDER vs Yoshimitsu | 19–16 | 54.29% |
| PAWGPOUNDER vs Devil Jin | 15–20 | 42.86% |
| PAWGPOUNDER vs Nina | 16–18 | 47.06% |
| PAWGPOUNDER vs Xiaoyu | 23–9 | 71.88% |
| PAWGPOUNDER vs Alisa | 15–16 | 48.39% |
| PAWGPOUNDER vs Paul | 11–19 | 36.67% |
| PAWGPOUNDER vs Leo | 13–13 | 50.00% |
| PAWGPOUNDER vs Dragunov | 7–18 | 28.00% |
| PAWGPOUNDER vs Lee | 16–9 | 64.00% |
| PAWGPOUNDER vs Leroy | 8–17 | 32.00% |
| PAWGPOUNDER vs Jack-8 | 11–11 | 50.00% |
| PAWGPOUNDER vs Feng | 10–12 | 45.45% |
| PAWGPOUNDER vs Raven | 14–8 | 63.64% |
| PAWGPOUNDER vs Kuma | 3–14 | 17.65% |
| PAWGPOUNDER vs Claudio | 6–9 | 40.00% |
| PAWGPOUNDER vs Zafina | 5–6 | 45.45% |
| PAWGPOUNDER vs Shaheen | 2–6 | 25.00% |
| PAWGPOUNDER vs Panda | 0–3 | 0.00% |
| PAWGPOUNDER vs Armor King | 2–0 | 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.