| Plongaoy vs Heihachi | 40–57 | 41.24% |
| Plongaoy vs Reina | 27–43 | 38.57% |
| Plongaoy vs Jin | 19–34 | 35.85% |
| Plongaoy vs King | 17–33 | 34.00% |
| Plongaoy vs Kazuya | 15–27 | 35.71% |
| Plongaoy vs Bryan | 10–26 | 27.78% |
| Plongaoy vs Lili | 9–27 | 25.00% |
| Plongaoy vs Victor | 11–24 | 31.43% |
| Plongaoy vs Azucena | 17–17 | 50.00% |
| Plongaoy vs Yoshimitsu | 14–16 | 46.67% |
| Plongaoy vs Steve | 19–11 | 63.33% |
| Plongaoy vs Dragunov | 13–16 | 44.83% |
| Plongaoy vs Asuka | 9–16 | 36.00% |
| Plongaoy vs Lidia | 6–14 | 30.00% |
| Plongaoy vs Law | 10–9 | 52.63% |
| Plongaoy vs Hwoarang | 2–17 | 10.53% |
| Plongaoy vs Leo | 3–15 | 16.67% |
| Plongaoy vs Xiaoyu | 8–8 | 50.00% |
| Plongaoy vs Nina | 3–13 | 18.75% |
| Plongaoy vs Lee | 5–11 | 31.25% |
| Plongaoy vs Leroy | 8–8 | 50.00% |
| Plongaoy vs Eddy | 5–10 | 33.33% |
| Plongaoy vs Lars | 6–8 | 42.86% |
| Plongaoy vs Paul | 2–11 | 15.38% |
| Plongaoy vs Alisa | 2–10 | 16.67% |
| Plongaoy vs Raven | 8–4 | 66.67% |
| Plongaoy vs Jun | 6–5 | 54.55% |
| Plongaoy vs Jack-8 | 2–8 | 20.00% |
| Plongaoy vs Panda | 7–2 | 77.78% |
| Plongaoy vs Devil Jin | 1–7 | 12.50% |
| Plongaoy vs Feng | 3–5 | 37.50% |
| Plongaoy vs Shaheen | 2–6 | 25.00% |
| Plongaoy vs Claudio | 4–3 | 57.14% |
| Plongaoy vs Kuma | 0–6 | 0.00% |
| Plongaoy vs Zafina | 4–2 | 66.67% |
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.