| ppiolkm vs Kazuya | 24–20 | 54.55% |
| ppiolkm vs Reina | 28–15 | 65.12% |
| ppiolkm vs Hwoarang | 25–14 | 64.10% |
| ppiolkm vs Paul | 25–13 | 65.79% |
| ppiolkm vs Dragunov | 9–26 | 25.71% |
| ppiolkm vs King | 19–13 | 59.38% |
| ppiolkm vs Law | 13–18 | 41.94% |
| ppiolkm vs Lili | 14–15 | 48.28% |
| ppiolkm vs Asuka | 20–7 | 74.07% |
| ppiolkm vs Bryan | 7–17 | 29.17% |
| ppiolkm vs Jin | 9–14 | 39.13% |
| ppiolkm vs Yoshimitsu | 11–10 | 52.38% |
| ppiolkm vs Steve | 12–9 | 57.14% |
| ppiolkm vs Jun | 16–5 | 76.19% |
| ppiolkm vs Feng | 10–10 | 50.00% |
| ppiolkm vs Victor | 7–11 | 38.89% |
| ppiolkm vs Lidia | 10–6 | 62.50% |
| ppiolkm vs Devil Jin | 8–7 | 53.33% |
| ppiolkm vs Eddy | 8–7 | 53.33% |
| ppiolkm vs Jack-8 | 6–8 | 42.86% |
| ppiolkm vs Claudio | 7–7 | 50.00% |
| ppiolkm vs Lee | 7–7 | 50.00% |
| ppiolkm vs Azucena | 7–5 | 58.33% |
| ppiolkm vs Leo | 2–7 | 22.22% |
| ppiolkm vs Alisa | 1–7 | 12.50% |
| ppiolkm vs Leroy | 3–5 | 37.50% |
| ppiolkm vs Xiaoyu | 4–3 | 57.14% |
| ppiolkm vs Lars | 2–5 | 28.57% |
| ppiolkm vs Nina | 2–5 | 28.57% |
| ppiolkm vs Shaheen | 1–5 | 16.67% |
| ppiolkm vs Kuma | 3–2 | 60.00% |
| ppiolkm vs Zafina | 3–1 | 75.00% |
| ppiolkm vs Raven | 1–3 | 25.00% |
| ppiolkm vs Heihachi | 1–2 | 33.33% |
| ppiolkm vs Panda | 1–1 | 50.00% |
| ppiolkm vs Fahkumram | 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.