| pongpxng vs King | 30–38 | 44.12% |
| pongpxng vs Kazuya | 36–30 | 54.55% |
| pongpxng vs Jin | 21–32 | 39.62% |
| pongpxng vs Lidia | 20–29 | 40.82% |
| pongpxng vs Yoshimitsu | 19–28 | 40.43% |
| pongpxng vs Reina | 12–30 | 28.57% |
| pongpxng vs Bryan | 15–22 | 40.54% |
| pongpxng vs Dragunov | 15–21 | 41.67% |
| pongpxng vs Hwoarang | 16–19 | 45.71% |
| pongpxng vs Paul | 10–19 | 34.48% |
| pongpxng vs Steve | 17–12 | 58.62% |
| pongpxng vs Asuka | 16–11 | 59.26% |
| pongpxng vs Lili | 13–14 | 48.15% |
| pongpxng vs Alisa | 8–18 | 30.77% |
| pongpxng vs Victor | 8–18 | 30.77% |
| pongpxng vs Jun | 8–16 | 33.33% |
| pongpxng vs Xiaoyu | 9–13 | 40.91% |
| pongpxng vs Jack-8 | 10–12 | 45.45% |
| pongpxng vs Kuma | 7–10 | 41.18% |
| pongpxng vs Devil Jin | 4–12 | 25.00% |
| pongpxng vs Claudio | 7–9 | 43.75% |
| pongpxng vs Nina | 9–7 | 56.25% |
| pongpxng vs Lee | 4–10 | 28.57% |
| pongpxng vs Azucena | 8–6 | 57.14% |
| pongpxng vs Raven | 7–3 | 70.00% |
| pongpxng vs Eddy | 2–7 | 22.22% |
| pongpxng vs Lars | 3–5 | 37.50% |
| pongpxng vs Leroy | 1–7 | 12.50% |
| pongpxng vs Law | 2–5 | 28.57% |
| pongpxng vs Panda | 4–3 | 57.14% |
| pongpxng vs Leo | 0–6 | 0.00% |
| pongpxng vs Feng | 1–4 | 20.00% |
| pongpxng vs Shaheen | 1–3 | 25.00% |
| pongpxng vs Zafina | 0–2 | 0.00% |
| pongpxng vs Heihachi | 0–2 | 0.00% |
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.