| ntny vs Jin | 294–256 | 53.45% |
| ntny vs Kazuya | 290–223 | 56.53% |
| ntny vs Bryan | 189–184 | 50.67% |
| ntny vs King | 197–167 | 54.12% |
| ntny vs Hwoarang | 155–179 | 46.41% |
| ntny vs Reina | 163–168 | 49.24% |
| ntny vs Yoshimitsu | 176–152 | 53.66% |
| ntny vs Paul | 143–167 | 46.13% |
| ntny vs Steve | 157–137 | 53.40% |
| ntny vs Heihachi | 147–137 | 51.76% |
| ntny vs Lee | 137–143 | 48.93% |
| ntny vs Devil Jin | 124–143 | 46.44% |
| ntny vs Law | 134–124 | 51.94% |
| ntny vs Dragunov | 113–118 | 48.92% |
| ntny vs Lili | 102–117 | 46.58% |
| ntny vs Asuka | 111–90 | 55.22% |
| ntny vs Xiaoyu | 93–104 | 47.21% |
| ntny vs Victor | 88–107 | 45.13% |
| ntny vs Lars | 101–89 | 53.16% |
| ntny vs Eddy | 83–95 | 46.63% |
| ntny vs Azucena | 88–88 | 50.00% |
| ntny vs Jun | 99–76 | 56.57% |
| ntny vs Alisa | 87–87 | 50.00% |
| ntny vs Feng | 65–88 | 42.48% |
| ntny vs Raven | 64–81 | 44.14% |
| ntny vs Nina | 58–75 | 43.61% |
| ntny vs Claudio | 51–75 | 40.48% |
| ntny vs Clive | 53–65 | 44.92% |
| ntny vs Leroy | 58–56 | 50.88% |
| ntny vs Jack-8 | 47–38 | 55.29% |
| ntny vs Leo | 44–34 | 56.41% |
| ntny vs Zafina | 37–41 | 47.44% |
| ntny vs Shaheen | 39–38 | 50.65% |
| ntny vs Lidia | 32–43 | 42.67% |
| ntny vs Kuma | 29–44 | 39.73% |
| ntny vs Panda | 10–18 | 35.71% |
| ntny vs Anna | 2–3 | 40.00% |
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.