| jjw7032 vs Bryan | 170–165 | 50.75% |
| jjw7032 vs Heihachi | 163–168 | 49.24% |
| jjw7032 vs Dragunov | 176–151 | 53.82% |
| jjw7032 vs Kazuya | 172–143 | 54.60% |
| jjw7032 vs King | 151–131 | 53.55% |
| jjw7032 vs Jin | 134–115 | 53.82% |
| jjw7032 vs Asuka | 125–119 | 51.23% |
| jjw7032 vs Hwoarang | 133–104 | 56.12% |
| jjw7032 vs Devil Jin | 109–107 | 50.46% |
| jjw7032 vs Feng | 112–104 | 51.85% |
| jjw7032 vs Paul | 115–89 | 56.37% |
| jjw7032 vs Reina | 98–100 | 49.49% |
| jjw7032 vs Lars | 91–99 | 47.89% |
| jjw7032 vs Steve | 98–91 | 51.85% |
| jjw7032 vs Lili | 108–79 | 57.75% |
| jjw7032 vs Jack-8 | 88–88 | 50.00% |
| jjw7032 vs Claudio | 89–85 | 51.15% |
| jjw7032 vs Law | 91–75 | 54.82% |
| jjw7032 vs Victor | 80–86 | 48.19% |
| jjw7032 vs Nina | 92–69 | 57.14% |
| jjw7032 vs Azucena | 65–87 | 42.76% |
| jjw7032 vs Alisa | 83–68 | 54.97% |
| jjw7032 vs Lee | 76–65 | 53.90% |
| jjw7032 vs Leroy | 69–65 | 51.49% |
| jjw7032 vs Yoshimitsu | 52–81 | 39.10% |
| jjw7032 vs Jun | 66–67 | 49.62% |
| jjw7032 vs Shaheen | 59–53 | 52.68% |
| jjw7032 vs Xiaoyu | 53–56 | 48.62% |
| jjw7032 vs Lidia | 58–48 | 54.72% |
| jjw7032 vs Zafina | 46–55 | 45.54% |
| jjw7032 vs Leo | 49–42 | 53.85% |
| jjw7032 vs Raven | 45–46 | 49.45% |
| jjw7032 vs Kuma | 36–45 | 44.44% |
| jjw7032 vs Fahkumram | 42–33 | 56.00% |
| jjw7032 vs Eddy | 26–43 | 37.68% |
| jjw7032 vs Panda | 21–35 | 37.50% |
| jjw7032 vs Clive | 19–36 | 34.55% |
| jjw7032 vs Anna | 23–29 | 44.23% |
| jjw7032 vs Armor King | 2–6 | 25.00% |
| jjw7032 vs Miary Zo | 2–5 | 28.57% |
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.