| RJWILLY vs Kazuya | 204–154 | 56.98% |
| RJWILLY vs King | 162–192 | 45.76% |
| RJWILLY vs Jin | 174–148 | 54.04% |
| RJWILLY vs Bryan | 140–157 | 47.14% |
| RJWILLY vs Reina | 154–126 | 55.00% |
| RJWILLY vs Steve | 97–161 | 37.60% |
| RJWILLY vs Law | 107–147 | 42.13% |
| RJWILLY vs Hwoarang | 116–109 | 51.56% |
| RJWILLY vs Paul | 98–116 | 45.79% |
| RJWILLY vs Dragunov | 102–90 | 53.12% |
| RJWILLY vs Yoshimitsu | 90–74 | 54.88% |
| RJWILLY vs Azucena | 80–81 | 49.69% |
| RJWILLY vs Lee | 87–72 | 54.72% |
| RJWILLY vs Lili | 78–78 | 50.00% |
| RJWILLY vs Lidia | 83–66 | 55.70% |
| RJWILLY vs Jun | 66–72 | 47.83% |
| RJWILLY vs Eddy | 56–76 | 42.42% |
| RJWILLY vs Asuka | 64–63 | 50.39% |
| RJWILLY vs Heihachi | 63–62 | 50.40% |
| RJWILLY vs Xiaoyu | 67–56 | 54.47% |
| RJWILLY vs Lars | 60–59 | 50.42% |
| RJWILLY vs Raven | 60–57 | 51.28% |
| RJWILLY vs Nina | 42–70 | 37.50% |
| RJWILLY vs Feng | 49–58 | 45.79% |
| RJWILLY vs Leo | 47–56 | 45.63% |
| RJWILLY vs Victor | 41–51 | 44.57% |
| RJWILLY vs Leroy | 46–45 | 50.55% |
| RJWILLY vs Devil Jin | 34–53 | 39.08% |
| RJWILLY vs Alisa | 41–44 | 48.24% |
| RJWILLY vs Jack-8 | 27–26 | 50.94% |
| RJWILLY vs Claudio | 18–25 | 41.86% |
| RJWILLY vs Armor King | 23–18 | 56.10% |
| RJWILLY vs Fahkumram | 24–14 | 63.16% |
| RJWILLY vs Clive | 16–18 | 47.06% |
| RJWILLY vs Kuma | 11–20 | 35.48% |
| RJWILLY vs Shaheen | 14–12 | 53.85% |
| RJWILLY vs Zafina | 11–14 | 44.00% |
| RJWILLY vs Anna | 9–13 | 40.91% |
| RJWILLY vs Panda | 7–8 | 46.67% |
| RJWILLY vs Miary Zo | 7–5 | 58.33% |
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.