| Nupperz vs Heihachi | 35–29 | 54.69% |
| Nupperz vs Kazuya | 29–22 | 56.86% |
| Nupperz vs Hwoarang | 23–23 | 50.00% |
| Nupperz vs Jin | 24–22 | 52.17% |
| Nupperz vs King | 19–19 | 50.00% |
| Nupperz vs Reina | 20–17 | 54.05% |
| Nupperz vs Steve | 20–12 | 62.50% |
| Nupperz vs Bryan | 13–14 | 48.15% |
| Nupperz vs Jun | 14–13 | 51.85% |
| Nupperz vs Lee | 11–12 | 47.83% |
| Nupperz vs Jack-8 | 6–16 | 27.27% |
| Nupperz vs Eddy | 7–13 | 35.00% |
| Nupperz vs Leo | 12–7 | 63.16% |
| Nupperz vs Asuka | 9–9 | 50.00% |
| Nupperz vs Dragunov | 11–7 | 61.11% |
| Nupperz vs Azucena | 8–10 | 44.44% |
| Nupperz vs Lili | 12–5 | 70.59% |
| Nupperz vs Law | 7–9 | 43.75% |
| Nupperz vs Yoshimitsu | 9–5 | 64.29% |
| Nupperz vs Lars | 7–7 | 50.00% |
| Nupperz vs Nina | 7–7 | 50.00% |
| Nupperz vs Victor | 8–6 | 57.14% |
| Nupperz vs Paul | 7–5 | 58.33% |
| Nupperz vs Claudio | 5–7 | 41.67% |
| Nupperz vs Xiaoyu | 4–6 | 40.00% |
| Nupperz vs Devil Jin | 6–4 | 60.00% |
| Nupperz vs Kuma | 3–7 | 30.00% |
| Nupperz vs Leroy | 6–4 | 60.00% |
| Nupperz vs Lidia | 4–6 | 40.00% |
| Nupperz vs Feng | 5–4 | 55.56% |
| Nupperz vs Alisa | 2–5 | 28.57% |
| Nupperz vs Raven | 4–3 | 57.14% |
| Nupperz vs Clive | 2–2 | 50.00% |
| Nupperz vs Shaheen | 2–1 | 66.67% |
| Nupperz vs Panda | 2–0 | 100.00% |
| Nupperz vs Zafina | 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.