| MissingNo vs Steve | 31–21 | 59.62% |
| MissingNo vs Reina | 26–13 | 66.67% |
| MissingNo vs Kazuya | 21–15 | 58.33% |
| MissingNo vs King | 16–15 | 51.61% |
| MissingNo vs Jun | 13–18 | 41.94% |
| MissingNo vs Azucena | 14–14 | 50.00% |
| MissingNo vs Eddy | 15–13 | 53.57% |
| MissingNo vs Yoshimitsu | 12–13 | 48.00% |
| MissingNo vs Hwoarang | 10–15 | 40.00% |
| MissingNo vs Lili | 12–12 | 50.00% |
| MissingNo vs Lidia | 16–8 | 66.67% |
| MissingNo vs Paul | 10–13 | 43.48% |
| MissingNo vs Jin | 11–11 | 50.00% |
| MissingNo vs Lars | 16–5 | 76.19% |
| MissingNo vs Dragunov | 7–12 | 36.84% |
| MissingNo vs Raven | 11–7 | 61.11% |
| MissingNo vs Heihachi | 3–14 | 17.65% |
| MissingNo vs Bryan | 11–5 | 68.75% |
| MissingNo vs Victor | 6–9 | 40.00% |
| MissingNo vs Lee | 10–4 | 71.43% |
| MissingNo vs Leroy | 8–6 | 57.14% |
| MissingNo vs Xiaoyu | 7–5 | 58.33% |
| MissingNo vs Feng | 6–6 | 50.00% |
| MissingNo vs Devil Jin | 4–7 | 36.36% |
| MissingNo vs Asuka | 8–2 | 80.00% |
| MissingNo vs Shaheen | 6–4 | 60.00% |
| MissingNo vs Nina | 4–6 | 40.00% |
| MissingNo vs Law | 5–4 | 55.56% |
| MissingNo vs Leo | 7–1 | 87.50% |
| MissingNo vs Zafina | 4–3 | 57.14% |
| MissingNo vs Jack-8 | 3–2 | 60.00% |
| MissingNo vs Kuma | 2–3 | 40.00% |
| MissingNo vs Alisa | 0–2 | 0.00% |
| MissingNo vs Claudio | 1–1 | 50.00% |
| MissingNo vs Panda | 1–0 | 100.00% |
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.