| Perc30 vs King | 25–20 | 55.56% |
| Perc30 vs Reina | 29–9 | 76.32% |
| Perc30 vs Law | 15–19 | 44.12% |
| Perc30 vs Hwoarang | 16–13 | 55.17% |
| Perc30 vs Clive | 23–6 | 79.31% |
| Perc30 vs Asuka | 16–12 | 57.14% |
| Perc30 vs Jin | 15–8 | 65.22% |
| Perc30 vs Lili | 9–14 | 39.13% |
| Perc30 vs Nina | 14–9 | 60.87% |
| Perc30 vs Lee | 12–11 | 52.17% |
| Perc30 vs Steve | 12–9 | 57.14% |
| Perc30 vs Jun | 15–5 | 75.00% |
| Perc30 vs Heihachi | 11–9 | 55.00% |
| Perc30 vs Bryan | 11–8 | 57.89% |
| Perc30 vs Dragunov | 13–6 | 68.42% |
| Perc30 vs Azucena | 8–11 | 42.11% |
| Perc30 vs Yoshimitsu | 12–6 | 66.67% |
| Perc30 vs Kazuya | 9–8 | 52.94% |
| Perc30 vs Lars | 7–10 | 41.18% |
| Perc30 vs Paul | 10–5 | 66.67% |
| Perc30 vs Eddy | 10–5 | 66.67% |
| Perc30 vs Xiaoyu | 9–4 | 69.23% |
| Perc30 vs Feng | 8–5 | 61.54% |
| Perc30 vs Leroy | 5–7 | 41.67% |
| Perc30 vs Devil Jin | 7–4 | 63.64% |
| Perc30 vs Leo | 8–3 | 72.73% |
| Perc30 vs Jack-8 | 7–3 | 70.00% |
| Perc30 vs Alisa | 6–3 | 66.67% |
| Perc30 vs Lidia | 3–6 | 33.33% |
| Perc30 vs Fahkumram | 4–5 | 44.44% |
| Perc30 vs Victor | 7–1 | 87.50% |
| Perc30 vs Raven | 4–4 | 50.00% |
| Perc30 vs Anna | 4–4 | 50.00% |
| Perc30 vs Zafina | 4–3 | 57.14% |
| Perc30 vs Shaheen | 4–2 | 66.67% |
| Perc30 vs Claudio | 3–1 | 75.00% |
| Perc30 vs Kuma | 2–1 | 66.67% |
| Perc30 vs Panda | 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.