| Stormpaw vs Jin | 62–53 | 53.91% |
| Stormpaw vs Reina | 64–37 | 63.37% |
| Stormpaw vs Kazuya | 52–43 | 54.74% |
| Stormpaw vs Hwoarang | 55–34 | 61.80% |
| Stormpaw vs Law | 43–25 | 63.24% |
| Stormpaw vs King | 29–35 | 45.31% |
| Stormpaw vs Steve | 31–33 | 48.44% |
| Stormpaw vs Yoshimitsu | 35–24 | 59.32% |
| Stormpaw vs Dragunov | 28–29 | 49.12% |
| Stormpaw vs Jun | 29–24 | 54.72% |
| Stormpaw vs Bryan | 17–33 | 34.00% |
| Stormpaw vs Asuka | 29–21 | 58.00% |
| Stormpaw vs Fahkumram | 21–27 | 43.75% |
| Stormpaw vs Paul | 20–24 | 45.45% |
| Stormpaw vs Heihachi | 23–21 | 52.27% |
| Stormpaw vs Lili | 15–24 | 38.46% |
| Stormpaw vs Clive | 27–12 | 69.23% |
| Stormpaw vs Eddy | 20–18 | 52.63% |
| Stormpaw vs Alisa | 13–16 | 44.83% |
| Stormpaw vs Lee | 11–18 | 37.93% |
| Stormpaw vs Lars | 14–14 | 50.00% |
| Stormpaw vs Azucena | 14–13 | 51.85% |
| Stormpaw vs Claudio | 17–7 | 70.83% |
| Stormpaw vs Devil Jin | 9–14 | 39.13% |
| Stormpaw vs Xiaoyu | 9–13 | 40.91% |
| Stormpaw vs Lidia | 11–11 | 50.00% |
| Stormpaw vs Feng | 7–14 | 33.33% |
| Stormpaw vs Nina | 8–10 | 44.44% |
| Stormpaw vs Victor | 10–5 | 66.67% |
| Stormpaw vs Zafina | 8–5 | 61.54% |
| Stormpaw vs Raven | 6–6 | 50.00% |
| Stormpaw vs Jack-8 | 4–7 | 36.36% |
| Stormpaw vs Anna | 6–3 | 66.67% |
| Stormpaw vs Leo | 3–5 | 37.50% |
| Stormpaw vs Shaheen | 4–4 | 50.00% |
| Stormpaw vs Leroy | 5–3 | 62.50% |
| Stormpaw vs Armor King | 3–2 | 60.00% |
| Stormpaw vs Kuma | 2–1 | 66.67% |
| Stormpaw vs Panda | 2–1 | 66.67% |
| Stormpaw vs Miary Zo | 1–2 | 33.33% |
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.