| Neve vs Kazuya | 49–4 | 92.45% |
| Neve vs King | 29–6 | 82.86% |
| Neve vs Law | 30–3 | 90.91% |
| Neve vs Jin | 26–2 | 92.86% |
| Neve vs Bryan | 27–0 | 100.00% |
| Neve vs Steve | 22–5 | 81.48% |
| Neve vs Anna | 24–0 | 100.00% |
| Neve vs Jack-8 | 16–6 | 72.73% |
| Neve vs Lili | 21–1 | 95.45% |
| Neve vs Reina | 17–5 | 77.27% |
| Neve vs Asuka | 17–3 | 85.00% |
| Neve vs Dragunov | 19–1 | 95.00% |
| Neve vs Heihachi | 17–3 | 85.00% |
| Neve vs Yoshimitsu | 19–0 | 100.00% |
| Neve vs Xiaoyu | 17–1 | 94.44% |
| Neve vs Clive | 14–4 | 77.78% |
| Neve vs Hwoarang | 14–2 | 87.50% |
| Neve vs Lee | 13–2 | 86.67% |
| Neve vs Devil Jin | 12–1 | 92.31% |
| Neve vs Leo | 11–2 | 84.62% |
| Neve vs Paul | 12–0 | 100.00% |
| Neve vs Feng | 8–4 | 66.67% |
| Neve vs Lars | 7–4 | 63.64% |
| Neve vs Jun | 8–1 | 88.89% |
| Neve vs Azucena | 9–0 | 100.00% |
| Neve vs Victor | 8–1 | 88.89% |
| Neve vs Shaheen | 6–2 | 75.00% |
| Neve vs Zafina | 6–1 | 85.71% |
| Neve vs Leroy | 5–2 | 71.43% |
| Neve vs Nina | 6–0 | 100.00% |
| Neve vs Lidia | 6–0 | 100.00% |
| Neve vs Alisa | 5–0 | 100.00% |
| Neve vs Kuma | 4–0 | 100.00% |
| Neve vs Panda | 2–0 | 100.00% |
| Neve vs Eddy | 2–0 | 100.00% |
| Neve vs Fahkumram | 2–0 | 100.00% |
| Neve vs Miary Zo | 2–0 | 100.00% |
| Neve vs Claudio | 1–0 | 100.00% |
| Neve vs Raven | 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.