| Niro vs Kazuya | 31–36 | 46.27% |
| Niro vs Armor King | 21–26 | 44.68% |
| Niro vs King | 26–16 | 61.90% |
| Niro vs Jin | 20–17 | 54.05% |
| Niro vs Paul | 14–20 | 41.18% |
| Niro vs Heihachi | 13–21 | 38.24% |
| Niro vs Steve | 15–15 | 50.00% |
| Niro vs Eddy | 18–12 | 60.00% |
| Niro vs Law | 13–16 | 44.83% |
| Niro vs Lee | 15–10 | 60.00% |
| Niro vs Hwoarang | 11–11 | 50.00% |
| Niro vs Bryan | 10–11 | 47.62% |
| Niro vs Lars | 10–8 | 55.56% |
| Niro vs Devil Jin | 6–11 | 35.29% |
| Niro vs Lili | 11–6 | 64.71% |
| Niro vs Reina | 7–10 | 41.18% |
| Niro vs Dragunov | 9–6 | 60.00% |
| Niro vs Victor | 7–8 | 46.67% |
| Niro vs Asuka | 10–4 | 71.43% |
| Niro vs Feng | 8–6 | 57.14% |
| Niro vs Jun | 12–2 | 85.71% |
| Niro vs Yoshimitsu | 7–6 | 53.85% |
| Niro vs Xiaoyu | 8–3 | 72.73% |
| Niro vs Alisa | 9–1 | 90.00% |
| Niro vs Raven | 4–5 | 44.44% |
| Niro vs Leo | 5–3 | 62.50% |
| Niro vs Shaheen | 4–4 | 50.00% |
| Niro vs Nina | 5–3 | 62.50% |
| Niro vs Anna | 5–3 | 62.50% |
| Niro vs Azucena | 3–4 | 42.86% |
| Niro vs Jack-8 | 4–1 | 80.00% |
| Niro vs Leroy | 1–4 | 20.00% |
| Niro vs Lidia | 4–0 | 100.00% |
| Niro vs Kuma | 2–1 | 66.67% |
| Niro vs Panda | 1–2 | 33.33% |
| Niro vs Zafina | 2–1 | 66.67% |
| Niro vs Clive | 0–3 | 0.00% |
| Niro vs Fahkumram | 0–2 | 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.