| NMF SPYDA vs Kazuya | 209–247 | 45.83% |
| NMF SPYDA vs King | 158–185 | 46.06% |
| NMF SPYDA vs Jin | 143–176 | 44.83% |
| NMF SPYDA vs Bryan | 130–187 | 41.01% |
| NMF SPYDA vs Steve | 162–142 | 53.29% |
| NMF SPYDA vs Reina | 135–151 | 47.20% |
| NMF SPYDA vs Hwoarang | 93–137 | 40.43% |
| NMF SPYDA vs Law | 87–118 | 42.44% |
| NMF SPYDA vs Dragunov | 79–123 | 39.11% |
| NMF SPYDA vs Heihachi | 95–104 | 47.74% |
| NMF SPYDA vs Eddy | 76–120 | 38.78% |
| NMF SPYDA vs Jun | 81–109 | 42.63% |
| NMF SPYDA vs Lee | 73–113 | 39.25% |
| NMF SPYDA vs Azucena | 89–93 | 48.90% |
| NMF SPYDA vs Yoshimitsu | 88–84 | 51.16% |
| NMF SPYDA vs Asuka | 78–93 | 45.61% |
| NMF SPYDA vs Lili | 79–84–1 | 48.47% |
| NMF SPYDA vs Lars | 61–87 | 41.22% |
| NMF SPYDA vs Paul | 60–87 | 40.82% |
| NMF SPYDA vs Victor | 66–78 | 45.83% |
| NMF SPYDA vs Feng | 55–85 | 39.29% |
| NMF SPYDA vs Devil Jin | 63–73 | 46.32% |
| NMF SPYDA vs Clive | 54–76 | 41.54% |
| NMF SPYDA vs Xiaoyu | 56–72 | 43.75% |
| NMF SPYDA vs Lidia | 59–69 | 46.09% |
| NMF SPYDA vs Jack-8 | 53–71 | 42.74% |
| NMF SPYDA vs Nina | 53–65 | 44.92% |
| NMF SPYDA vs Leo | 57–58 | 49.57% |
| NMF SPYDA vs Claudio | 43–64 | 40.19% |
| NMF SPYDA vs Leroy | 49–56 | 46.67% |
| NMF SPYDA vs Raven | 39–60 | 39.39% |
| NMF SPYDA vs Alisa | 29–38 | 43.28% |
| NMF SPYDA vs Kuma | 32–34 | 48.48% |
| NMF SPYDA vs Zafina | 35–31 | 53.03% |
| NMF SPYDA vs Shaheen | 38–27 | 58.46% |
| NMF SPYDA vs Anna | 25–36 | 40.98% |
| NMF SPYDA vs Panda | 9–17 | 34.62% |
| NMF SPYDA vs Armor King | 2–2 | 50.00% |
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.