| M99Godfather vs Jin | 16–39 | 29.09% |
| M99Godfather vs Hwoarang | 13–41 | 24.07% |
| M99Godfather vs King | 19–28 | 40.43% |
| M99Godfather vs Eddy | 14–31 | 31.11% |
| M99Godfather vs Kazuya | 8–25 | 24.24% |
| M99Godfather vs Reina | 9–24 | 27.27% |
| M99Godfather vs Yoshimitsu | 9–16 | 36.00% |
| M99Godfather vs Law | 8–16 | 33.33% |
| M99Godfather vs Steve | 7–17 | 29.17% |
| M99Godfather vs Lili | 10–11 | 47.62% |
| M99Godfather vs Jun | 8–11 | 42.11% |
| M99Godfather vs Bryan | 6–12 | 33.33% |
| M99Godfather vs Dragunov | 5–12 | 29.41% |
| M99Godfather vs Victor | 4–13 | 23.53% |
| M99Godfather vs Alisa | 4–10 | 28.57% |
| M99Godfather vs Paul | 2–11 | 15.38% |
| M99Godfather vs Nina | 6–7 | 46.15% |
| M99Godfather vs Raven | 8–5 | 61.54% |
| M99Godfather vs Azucena | 5–7 | 41.67% |
| M99Godfather vs Feng | 4–7 | 36.36% |
| M99Godfather vs Asuka | 4–6 | 40.00% |
| M99Godfather vs Devil Jin | 4–6 | 40.00% |
| M99Godfather vs Xiaoyu | 2–6 | 25.00% |
| M99Godfather vs Claudio | 3–5 | 37.50% |
| M99Godfather vs Lee | 4–4 | 50.00% |
| M99Godfather vs Kuma | 2–6 | 25.00% |
| M99Godfather vs Lars | 2–5 | 28.57% |
| M99Godfather vs Leroy | 3–3 | 50.00% |
| M99Godfather vs Leo | 0–4 | 0.00% |
| M99Godfather vs Jack-8 | 0–3 | 0.00% |
| M99Godfather vs Shaheen | 0–1 | 0.00% |
| M99Godfather vs Zafina | 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.