| namrism vs Reina | 112–105 | 51.61% |
| namrism vs Dragunov | 76–137 | 35.68% |
| namrism vs King | 88–121 | 42.11% |
| namrism vs Hwoarang | 86–109 | 44.10% |
| namrism vs Bryan | 95–90 | 51.35% |
| namrism vs Jin | 77–103 | 42.78% |
| namrism vs Kazuya | 67–81 | 45.27% |
| namrism vs Jun | 71–71 | 50.00% |
| namrism vs Law | 69–69 | 50.00% |
| namrism vs Victor | 50–87 | 36.50% |
| namrism vs Asuka | 59–67 | 46.83% |
| namrism vs Lili | 54–70 | 43.55% |
| namrism vs Paul | 58–56 | 50.88% |
| namrism vs Azucena | 60–47 | 56.07% |
| namrism vs Steve | 44–58 | 43.14% |
| namrism vs Feng | 35–67 | 34.31% |
| namrism vs Xiaoyu | 50–44 | 53.19% |
| namrism vs Nina | 37–50 | 42.53% |
| namrism vs Lee | 48–39 | 55.17% |
| namrism vs Lars | 32–52 | 38.10% |
| namrism vs Devil Jin | 38–45 | 45.78% |
| namrism vs Eddy | 35–45 | 43.75% |
| namrism vs Jack-8 | 37–41 | 47.44% |
| namrism vs Leroy | 29–42 | 40.85% |
| namrism vs Yoshimitsu | 31–33 | 48.44% |
| namrism vs Alisa | 36–27 | 57.14% |
| namrism vs Leo | 28–34 | 45.16% |
| namrism vs Claudio | 36–25 | 59.02% |
| namrism vs Kuma | 16–24 | 40.00% |
| namrism vs Shaheen | 13–24 | 35.14% |
| namrism vs Raven | 12–18 | 40.00% |
| namrism vs Zafina | 10–12 | 45.45% |
| namrism vs Panda | 5–14 | 26.32% |
| namrism vs Lidia | 7–6 | 53.85% |
| namrism vs Heihachi | 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.