| Nivley vs Hwoarang | 76–77 | 49.67% |
| Nivley vs Jin | 69–81 | 46.00% |
| Nivley vs King | 72–76 | 48.65% |
| Nivley vs Reina | 71–62 | 53.38% |
| Nivley vs Lili | 69–53 | 56.56% |
| Nivley vs Kazuya | 48–71 | 40.34% |
| Nivley vs Dragunov | 40–62 | 39.22% |
| Nivley vs Steve | 52–43 | 54.74% |
| Nivley vs Eddy | 47–43 | 52.22% |
| Nivley vs Paul | 40–47 | 45.98% |
| Nivley vs Bryan | 41–45 | 47.67% |
| Nivley vs Yoshimitsu | 38–47 | 44.71% |
| Nivley vs Azucena | 39–45 | 46.43% |
| Nivley vs Law | 37–41 | 47.44% |
| Nivley vs Leo | 28–41 | 40.58% |
| Nivley vs Asuka | 33–35 | 48.53% |
| Nivley vs Lee | 34–32 | 51.52% |
| Nivley vs Victor | 28–38 | 42.42% |
| Nivley vs Devil Jin | 22–42 | 34.38% |
| Nivley vs Jack-8 | 25–38 | 39.68% |
| Nivley vs Xiaoyu | 30–29 | 50.85% |
| Nivley vs Nina | 26–30 | 46.43% |
| Nivley vs Feng | 19–32 | 37.25% |
| Nivley vs Lars | 29–22 | 56.86% |
| Nivley vs Alisa | 27–24 | 52.94% |
| Nivley vs Jun | 24–26 | 48.00% |
| Nivley vs Raven | 23–20 | 53.49% |
| Nivley vs Claudio | 24–14 | 63.16% |
| Nivley vs Shaheen | 16–17 | 48.48% |
| Nivley vs Leroy | 15–18 | 45.45% |
| Nivley vs Kuma | 10–22 | 31.25% |
| Nivley vs Zafina | 15–16 | 48.39% |
| Nivley vs Heihachi | 8–7 | 53.33% |
| Nivley vs Panda | 4–6 | 40.00% |
| Nivley vs Clive | 2–2 | 50.00% |
| Nivley vs Fahkumram | 2–2 | 50.00% |
| Nivley vs Anna | 2–1 | 66.67% |
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.