| NEMA vs Bryan | 129–78 | 62.32% |
| NEMA vs Steve | 72–69 | 51.06% |
| NEMA vs Kazuya | 82–51 | 61.65% |
| NEMA vs King | 65–67 | 49.24% |
| NEMA vs Dragunov | 52–55 | 48.60% |
| NEMA vs Jin | 55–51 | 51.89% |
| NEMA vs Paul | 47–28 | 62.67% |
| NEMA vs Heihachi | 36–39 | 48.00% |
| NEMA vs Hwoarang | 31–39 | 44.29% |
| NEMA vs Lee | 38–31 | 55.07% |
| NEMA vs Yoshimitsu | 41–27 | 60.29% |
| NEMA vs Devil Jin | 25–34 | 42.37% |
| NEMA vs Law | 28–29 | 49.12% |
| NEMA vs Jack-8 | 34–23 | 59.65% |
| NEMA vs Reina | 28–28 | 50.00% |
| NEMA vs Clive | 18–38 | 32.14% |
| NEMA vs Xiaoyu | 27–25 | 51.92% |
| NEMA vs Nina | 17–30 | 36.17% |
| NEMA vs Lili | 20–25 | 44.44% |
| NEMA vs Feng | 20–24 | 45.45% |
| NEMA vs Lars | 18–25 | 41.86% |
| NEMA vs Jun | 19–23 | 45.24% |
| NEMA vs Azucena | 16–23 | 41.03% |
| NEMA vs Raven | 20–19 | 51.28% |
| NEMA vs Victor | 23–14 | 62.16% |
| NEMA vs Asuka | 15–16 | 48.39% |
| NEMA vs Kuma | 12–13 | 48.00% |
| NEMA vs Eddy | 12–13 | 48.00% |
| NEMA vs Leroy | 14–10 | 58.33% |
| NEMA vs Alisa | 8–14 | 36.36% |
| NEMA vs Claudio | 11–11 | 50.00% |
| NEMA vs Leo | 7–11 | 38.89% |
| NEMA vs Shaheen | 7–10 | 41.18% |
| NEMA vs Lidia | 5–11 | 31.25% |
| NEMA vs Panda | 6–4 | 60.00% |
| NEMA vs Zafina | 4–1 | 80.00% |
| NEMA vs Fahkumram | 0–1 | 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.