| PPADDARRADDA vs Bryan | 70–8 | 89.74% |
| PPADDARRADDA vs Kazuya | 66–5 | 92.96% |
| PPADDARRADDA vs Dragunov | 53–2 | 96.36% |
| PPADDARRADDA vs Paul | 44–3 | 93.62% |
| PPADDARRADDA vs Steve | 42–5 | 89.36% |
| PPADDARRADDA vs King | 43–3 | 93.48% |
| PPADDARRADDA vs Victor | 42–3 | 93.33% |
| PPADDARRADDA vs Reina | 36–6 | 85.71% |
| PPADDARRADDA vs Jin | 39–2 | 95.12% |
| PPADDARRADDA vs Hwoarang | 38–1 | 97.44% |
| PPADDARRADDA vs Heihachi | 31–7 | 81.58% |
| PPADDARRADDA vs Law | 30–3 | 90.91% |
| PPADDARRADDA vs Clive | 27–2 | 93.10% |
| PPADDARRADDA vs Lili | 26–1 | 96.30% |
| PPADDARRADDA vs Devil Jin | 24–2 | 92.31% |
| PPADDARRADDA vs Yoshimitsu | 23–0 | 100.00% |
| PPADDARRADDA vs Lidia | 20–3 | 86.96% |
| PPADDARRADDA vs Feng | 19–3 | 86.36% |
| PPADDARRADDA vs Nina | 18–3 | 85.71% |
| PPADDARRADDA vs Alisa | 15–5 | 75.00% |
| PPADDARRADDA vs Jack-8 | 16–0 | 100.00% |
| PPADDARRADDA vs Leo | 14–2 | 87.50% |
| PPADDARRADDA vs Claudio | 15–1 | 93.75% |
| PPADDARRADDA vs Azucena | 16–0 | 100.00% |
| PPADDARRADDA vs Xiaoyu | 14–1 | 93.33% |
| PPADDARRADDA vs Asuka | 14–0 | 100.00% |
| PPADDARRADDA vs Leroy | 10–4 | 71.43% |
| PPADDARRADDA vs Jun | 10–4 | 71.43% |
| PPADDARRADDA vs Eddy | 9–2 | 81.82% |
| PPADDARRADDA vs Shaheen | 7–3 | 70.00% |
| PPADDARRADDA vs Anna | 7–2 | 77.78% |
| PPADDARRADDA vs Kuma | 8–0 | 100.00% |
| PPADDARRADDA vs Panda | 6–1 | 85.71% |
| PPADDARRADDA vs Lars | 5–0 | 100.00% |
| PPADDARRADDA vs Lee | 5–0 | 100.00% |
| PPADDARRADDA vs Raven | 5–0 | 100.00% |
| PPADDARRADDA vs Zafina | 2–2 | 50.00% |
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.