| NSMC vs Fahkumram | 59–85 | 40.97% |
| NSMC vs Reina | 67–66 | 50.38% |
| NSMC vs King | 60–51 | 54.05% |
| NSMC vs Paul | 41–68 | 37.61% |
| NSMC vs Kazuya | 58–48 | 54.72% |
| NSMC vs Dragunov | 46–59 | 43.81% |
| NSMC vs Jin | 44–52 | 45.83% |
| NSMC vs Bryan | 32–63 | 33.68% |
| NSMC vs Hwoarang | 49–36 | 57.65% |
| NSMC vs Lili | 36–45 | 44.44% |
| NSMC vs Nina | 41–37 | 52.56% |
| NSMC vs Jun | 28–42 | 40.00% |
| NSMC vs Feng | 25–42 | 37.31% |
| NSMC vs Steve | 27–39 | 40.91% |
| NSMC vs Victor | 28–38 | 42.42% |
| NSMC vs Yoshimitsu | 23–40 | 36.51% |
| NSMC vs Asuka | 30–28 | 51.72% |
| NSMC vs Law | 18–36 | 33.33% |
| NSMC vs Azucena | 34–19 | 64.15% |
| NSMC vs Eddy | 19–34 | 35.85% |
| NSMC vs Devil Jin | 20–27 | 42.55% |
| NSMC vs Jack-8 | 22–24 | 47.83% |
| NSMC vs Alisa | 17–28 | 37.78% |
| NSMC vs Claudio | 19–24 | 44.19% |
| NSMC vs Lee | 17–25 | 40.48% |
| NSMC vs Lars | 10–28 | 26.32% |
| NSMC vs Xiaoyu | 13–22 | 37.14% |
| NSMC vs Leroy | 18–16 | 52.94% |
| NSMC vs Leo | 10–23 | 30.30% |
| NSMC vs Shaheen | 14–16 | 46.67% |
| NSMC vs Kuma | 12–16 | 42.86% |
| NSMC vs Raven | 14–12 | 53.85% |
| NSMC vs Zafina | 9–13 | 40.91% |
| NSMC vs Clive | 6–13 | 31.58% |
| NSMC vs Panda | 6–10 | 37.50% |
| NSMC vs Anna | 6–8 | 42.86% |
| NSMC vs Heihachi | 3–10 | 23.08% |
| NSMC vs Lidia | 1–2 | 33.33% |
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.