| N0D4N vs Kazuya | 123–81 | 60.29% |
| N0D4N vs Hwoarang | 71–91 | 43.83% |
| N0D4N vs Jin | 71–66 | 51.82% |
| N0D4N vs Bryan | 63–74 | 45.99% |
| N0D4N vs Yoshimitsu | 55–66 | 45.45% |
| N0D4N vs Steve | 52–65 | 44.44% |
| N0D4N vs Devil Jin | 59–55 | 51.75% |
| N0D4N vs Paul | 61–52 | 53.98% |
| N0D4N vs Law | 45–59 | 43.27% |
| N0D4N vs King | 48–50 | 48.98% |
| N0D4N vs Reina | 76–21 | 78.35% |
| N0D4N vs Lili | 59–33 | 64.13% |
| N0D4N vs Dragunov | 47–38 | 55.29% |
| N0D4N vs Lee | 50–31 | 61.73% |
| N0D4N vs Raven | 36–32 | 52.94% |
| N0D4N vs Jun | 36–29 | 55.38% |
| N0D4N vs Alisa | 21–43 | 32.81% |
| N0D4N vs Jack-8 | 27–35 | 43.55% |
| N0D4N vs Asuka | 23–38 | 37.70% |
| N0D4N vs Nina | 27–31 | 46.55% |
| N0D4N vs Azucena | 38–16 | 70.37% |
| N0D4N vs Feng | 25–27 | 48.08% |
| N0D4N vs Victor | 29–21 | 58.00% |
| N0D4N vs Claudio | 14–35 | 28.57% |
| N0D4N vs Heihachi | 23–26 | 46.94% |
| N0D4N vs Xiaoyu | 25–22 | 53.19% |
| N0D4N vs Zafina | 27–20 | 57.45% |
| N0D4N vs Leo | 16–22 | 42.11% |
| N0D4N vs Lars | 17–21 | 44.74% |
| N0D4N vs Shaheen | 19–17 | 52.78% |
| N0D4N vs Eddy | 15–16 | 48.39% |
| N0D4N vs Fahkumram | 16–10 | 61.54% |
| N0D4N vs Kuma | 17–8 | 68.00% |
| N0D4N vs Leroy | 11–14 | 44.00% |
| N0D4N vs Panda | 7–10 | 41.18% |
| N0D4N vs Clive | 12–5 | 70.59% |
| N0D4N vs Lidia | 0–6 | 0.00% |
| N0D4N vs Anna | 2–0 | 100.00% |
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.