| NeonNY vs Kazuya | 120–128 | 48.39% |
| NeonNY vs King | 119–87 | 57.77% |
| NeonNY vs Bryan | 91–88 | 50.84% |
| NeonNY vs Jin | 79–67 | 54.11% |
| NeonNY vs Steve | 67–51 | 56.78% |
| NeonNY vs Reina | 47–70 | 40.17% |
| NeonNY vs Yoshimitsu | 51–63 | 44.74% |
| NeonNY vs Hwoarang | 49–52 | 48.51% |
| NeonNY vs Jun | 54–45 | 54.55% |
| NeonNY vs Dragunov | 52–46 | 53.06% |
| NeonNY vs Lee | 45–52 | 46.39% |
| NeonNY vs Law | 35–53 | 39.77% |
| NeonNY vs Lili | 44–43 | 50.57% |
| NeonNY vs Asuka | 35–46 | 43.21% |
| NeonNY vs Victor | 29–43 | 40.28% |
| NeonNY vs Azucena | 27–42 | 39.13% |
| NeonNY vs Paul | 38–30 | 55.88% |
| NeonNY vs Lars | 29–39 | 42.65% |
| NeonNY vs Jack-8 | 23–42 | 35.38% |
| NeonNY vs Lidia | 28–35 | 44.44% |
| NeonNY vs Eddy | 22–40 | 35.48% |
| NeonNY vs Xiaoyu | 29–32 | 47.54% |
| NeonNY vs Feng | 21–36 | 36.84% |
| NeonNY vs Nina | 18–39 | 31.58% |
| NeonNY vs Devil Jin | 31–25 | 55.36% |
| NeonNY vs Heihachi | 22–34 | 39.29% |
| NeonNY vs Raven | 20–28 | 41.67% |
| NeonNY vs Leo | 18–26 | 40.91% |
| NeonNY vs Leroy | 18–24 | 42.86% |
| NeonNY vs Alisa | 15–23 | 39.47% |
| NeonNY vs Clive | 14–18 | 43.75% |
| NeonNY vs Kuma | 9–21 | 30.00% |
| NeonNY vs Claudio | 2–19 | 9.52% |
| NeonNY vs Shaheen | 8–13 | 38.10% |
| NeonNY vs Zafina | 9–9 | 50.00% |
| NeonNY vs Panda | 11–2 | 84.62% |
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.