| playboijp vs Jin | 44–28 | 61.11% |
| playboijp vs King | 35–22 | 61.40% |
| playboijp vs Kazuya | 28–20 | 58.33% |
| playboijp vs Reina | 17–31 | 35.42% |
| playboijp vs Lili | 19–18 | 51.35% |
| playboijp vs Azucena | 20–17 | 54.05% |
| playboijp vs Yoshimitsu | 17–16 | 51.52% |
| playboijp vs Eddy | 14–18 | 43.75% |
| playboijp vs Bryan | 16–15 | 51.61% |
| playboijp vs Dragunov | 19–11 | 63.33% |
| playboijp vs Law | 11–17 | 39.29% |
| playboijp vs Jun | 9–16 | 36.00% |
| playboijp vs Leo | 16–8 | 66.67% |
| playboijp vs Hwoarang | 9–13 | 40.91% |
| playboijp vs Xiaoyu | 15–7 | 68.18% |
| playboijp vs Nina | 13–7 | 65.00% |
| playboijp vs Steve | 15–3 | 83.33% |
| playboijp vs Victor | 8–10 | 44.44% |
| playboijp vs Leroy | 6–10 | 37.50% |
| playboijp vs Paul | 7–8 | 46.67% |
| playboijp vs Feng | 6–9 | 40.00% |
| playboijp vs Lee | 6–8 | 42.86% |
| playboijp vs Raven | 4–8 | 33.33% |
| playboijp vs Heihachi | 7–5 | 58.33% |
| playboijp vs Asuka | 5–6 | 45.45% |
| playboijp vs Lars | 6–4 | 60.00% |
| playboijp vs Alisa | 4–6 | 40.00% |
| playboijp vs Devil Jin | 4–4 | 50.00% |
| playboijp vs Shaheen | 4–4 | 50.00% |
| playboijp vs Jack-8 | 4–3 | 57.14% |
| playboijp vs Kuma | 2–5 | 28.57% |
| playboijp vs Panda | 2–3 | 40.00% |
| playboijp vs Zafina | 2–3 | 40.00% |
| playboijp vs Claudio | 4–0 | 100.00% |
| playboijp vs Lidia | 0–1 | 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.