| CBM|MSN vs Reina | 19–28 | 40.43% |
| CBM|MSN vs Dragunov | 20–23 | 46.51% |
| CBM|MSN vs Hwoarang | 15–26 | 36.59% |
| CBM|MSN vs Bryan | 26–15 | 63.41% |
| CBM|MSN vs Jin | 19–16 | 54.29% |
| CBM|MSN vs King | 14–16 | 46.67% |
| CBM|MSN vs Asuka | 13–17 | 43.33% |
| CBM|MSN vs Kazuya | 10–17 | 37.04% |
| CBM|MSN vs Victor | 17–10 | 62.96% |
| CBM|MSN vs Azucena | 13–13 | 50.00% |
| CBM|MSN vs Law | 12–12 | 50.00% |
| CBM|MSN vs Alisa | 4–20 | 16.67% |
| CBM|MSN vs Xiaoyu | 10–13 | 43.48% |
| CBM|MSN vs Steve | 12–11 | 52.17% |
| CBM|MSN vs Jun | 7–14 | 33.33% |
| CBM|MSN vs Paul | 10–8 | 55.56% |
| CBM|MSN vs Feng | 6–12 | 33.33% |
| CBM|MSN vs Lili | 11–6 | 64.71% |
| CBM|MSN vs Devil Jin | 8–8 | 50.00% |
| CBM|MSN vs Leroy | 8–8 | 50.00% |
| CBM|MSN vs Nina | 4–11 | 26.67% |
| CBM|MSN vs Lee | 7–8 | 46.67% |
| CBM|MSN vs Zafina | 4–8 | 33.33% |
| CBM|MSN vs Lidia | 5–7 | 41.67% |
| CBM|MSN vs Leo | 6–4 | 60.00% |
| CBM|MSN vs Eddy | 1–9 | 10.00% |
| CBM|MSN vs Jack-8 | 3–5 | 37.50% |
| CBM|MSN vs Claudio | 4–3 | 57.14% |
| CBM|MSN vs Yoshimitsu | 3–2 | 60.00% |
| CBM|MSN vs Shaheen | 3–2 | 60.00% |
| CBM|MSN vs Kuma | 3–2 | 60.00% |
| CBM|MSN vs Raven | 4–1 | 80.00% |
| CBM|MSN vs Lars | 2–1 | 66.67% |
| CBM|MSN vs Heihachi | 0–2 | 0.00% |
| CBM|MSN 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.