| NBP0127 vs Hwoarang | 31–31 | 50.00% |
| NBP0127 vs Bryan | 34–19 | 64.15% |
| NBP0127 vs King | 29–17 | 63.04% |
| NBP0127 vs Jin | 26–19 | 57.78% |
| NBP0127 vs Steve | 25–15 | 62.50% |
| NBP0127 vs Dragunov | 22–12 | 64.71% |
| NBP0127 vs Jun | 16–14 | 53.33% |
| NBP0127 vs Paul | 13–16 | 44.83% |
| NBP0127 vs Law | 14–15 | 48.28% |
| NBP0127 vs Lidia | 9–20 | 31.03% |
| NBP0127 vs Leo | 18–9 | 66.67% |
| NBP0127 vs Azucena | 14–13 | 51.85% |
| NBP0127 vs Asuka | 12–14 | 46.15% |
| NBP0127 vs Devil Jin | 11–15 | 42.31% |
| NBP0127 vs Lars | 17–9 | 65.38% |
| NBP0127 vs Lili | 13–12 | 52.00% |
| NBP0127 vs Reina | 18–7 | 72.00% |
| NBP0127 vs Kazuya | 8–16 | 33.33% |
| NBP0127 vs Xiaoyu | 10–13 | 43.48% |
| NBP0127 vs Anna | 9–14 | 39.13% |
| NBP0127 vs Jack-8 | 10–12 | 45.45% |
| NBP0127 vs Heihachi | 12–9 | 57.14% |
| NBP0127 vs Eddy | 12–8 | 60.00% |
| NBP0127 vs Yoshimitsu | 5–12 | 29.41% |
| NBP0127 vs Claudio | 9–7 | 56.25% |
| NBP0127 vs Nina | 11–3 | 78.57% |
| NBP0127 vs Victor | 6–7 | 46.15% |
| NBP0127 vs Feng | 7–5 | 58.33% |
| NBP0127 vs Shaheen | 6–5 | 54.55% |
| NBP0127 vs Panda | 7–4 | 63.64% |
| NBP0127 vs Alisa | 4–6 | 40.00% |
| NBP0127 vs Raven | 6–4 | 60.00% |
| NBP0127 vs Zafina | 5–2 | 71.43% |
| NBP0127 vs Clive | 2–5 | 28.57% |
| NBP0127 vs Lee | 2–4 | 33.33% |
| NBP0127 vs Leroy | 2–4 | 33.33% |
| NBP0127 vs Kuma | 2–3 | 40.00% |
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.