| Neppa vs Steve | 25–24 | 51.02% |
| Neppa vs Law | 17–25 | 40.48% |
| Neppa vs Jin | 19–19 | 50.00% |
| Neppa vs Kazuya | 20–15 | 57.14% |
| Neppa vs King | 14–17 | 45.16% |
| Neppa vs Dragunov | 13–15 | 46.43% |
| Neppa vs Jun | 14–11 | 56.00% |
| Neppa vs Bryan | 16–8 | 66.67% |
| Neppa vs Reina | 13–11 | 54.17% |
| Neppa vs Yoshimitsu | 11–8 | 57.89% |
| Neppa vs Victor | 9–10 | 47.37% |
| Neppa vs Lars | 10–7 | 58.82% |
| Neppa vs Azucena | 9–8 | 52.94% |
| Neppa vs Eddy | 8–9 | 47.06% |
| Neppa vs Armor King | 11–6 | 64.71% |
| Neppa vs Lili | 7–9 | 43.75% |
| Neppa vs Miary Zo | 7–8 | 46.67% |
| Neppa vs Hwoarang | 6–8 | 42.86% |
| Neppa vs Heihachi | 7–7 | 50.00% |
| Neppa vs Lee | 5–7 | 41.67% |
| Neppa vs Leroy | 4–8 | 33.33% |
| Neppa vs Lidia | 8–4 | 66.67% |
| Neppa vs Paul | 4–6 | 40.00% |
| Neppa vs Xiaoyu | 6–4 | 60.00% |
| Neppa vs Nina | 3–7 | 30.00% |
| Neppa vs Fahkumram | 8–2 | 80.00% |
| Neppa vs Jack-8 | 6–3 | 66.67% |
| Neppa vs Zafina | 6–3 | 66.67% |
| Neppa vs Asuka | 4–4 | 50.00% |
| Neppa vs Raven | 5–3 | 62.50% |
| Neppa vs Leo | 3–4 | 42.86% |
| Neppa vs Claudio | 4–1 | 80.00% |
| Neppa vs Devil Jin | 4–0 | 100.00% |
| Neppa vs Kuma | 4–0 | 100.00% |
| Neppa vs Clive | 2–2 | 50.00% |
| Neppa vs Shaheen | 2–1 | 66.67% |
| Neppa vs Alisa | 0–2 | 0.00% |
| Neppa vs Feng | 1–0 | 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.