| Neirora vs Steve | 33–27 | 55.00% |
| Neirora vs King | 19–23 | 45.24% |
| Neirora vs Bryan | 19–16 | 54.29% |
| Neirora vs Kazuya | 17–17 | 50.00% |
| Neirora vs Lars | 19–15 | 55.88% |
| Neirora vs Clive | 22–12 | 64.71% |
| Neirora vs Lili | 23–8 | 74.19% |
| Neirora vs Hwoarang | 16–14 | 53.33% |
| Neirora vs Reina | 20–10 | 66.67% |
| Neirora vs Jin | 18–11 | 62.07% |
| Neirora vs Law | 17–10 | 62.96% |
| Neirora vs Paul | 16–8 | 66.67% |
| Neirora vs Dragunov | 17–7 | 70.83% |
| Neirora vs Jun | 10–14 | 41.67% |
| Neirora vs Eddy | 16–8 | 66.67% |
| Neirora vs Azucena | 16–6 | 72.73% |
| Neirora vs Yoshimitsu | 13–5 | 72.22% |
| Neirora vs Xiaoyu | 15–1 | 93.75% |
| Neirora vs Devil Jin | 6–9 | 40.00% |
| Neirora vs Leroy | 8–7 | 53.33% |
| Neirora vs Feng | 4–10 | 28.57% |
| Neirora vs Lee | 10–3 | 76.92% |
| Neirora vs Lidia | 9–3 | 75.00% |
| Neirora vs Asuka | 9–2 | 81.82% |
| Neirora vs Claudio | 4–7 | 36.36% |
| Neirora vs Nina | 8–3 | 72.73% |
| Neirora vs Raven | 10–1 | 90.91% |
| Neirora vs Victor | 8–2 | 80.00% |
| Neirora vs Jack-8 | 6–3 | 66.67% |
| Neirora vs Leo | 3–4 | 42.86% |
| Neirora vs Kuma | 4–3 | 57.14% |
| Neirora vs Zafina | 6–1 | 85.71% |
| Neirora vs Heihachi | 2–4 | 33.33% |
| Neirora vs Alisa | 5–0 | 100.00% |
| Neirora vs Panda | 0–5 | 0.00% |
| Neirora vs Shaheen | 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.