| MrMashima vs Kazuya | 38–59 | 39.18% |
| MrMashima vs Eddy | 24–70 | 25.53% |
| MrMashima vs Jin | 43–46 | 48.31% |
| MrMashima vs King | 44–43 | 50.57% |
| MrMashima vs Hwoarang | 34–48 | 41.46% |
| MrMashima vs Steve | 36–41 | 46.75% |
| MrMashima vs Law | 29–45 | 39.19% |
| MrMashima vs Yoshimitsu | 35–34 | 50.72% |
| MrMashima vs Dragunov | 30–38 | 44.12% |
| MrMashima vs Reina | 40–27 | 59.70% |
| MrMashima vs Azucena | 27–33 | 45.00% |
| MrMashima vs Bryan | 25–29 | 46.30% |
| MrMashima vs Asuka | 27–27 | 50.00% |
| MrMashima vs Paul | 25–27 | 48.08% |
| MrMashima vs Nina | 22–29 | 43.14% |
| MrMashima vs Lili | 24–21 | 53.33% |
| MrMashima vs Jun | 22–23 | 48.89% |
| MrMashima vs Lars | 22–22 | 50.00% |
| MrMashima vs Xiaoyu | 16–22 | 42.11% |
| MrMashima vs Victor | 15–23 | 39.47% |
| MrMashima vs Leroy | 20–13 | 60.61% |
| MrMashima vs Lee | 15–16 | 48.39% |
| MrMashima vs Jack-8 | 17–11 | 60.71% |
| MrMashima vs Alisa | 9–18 | 33.33% |
| MrMashima vs Lidia | 13–14 | 48.15% |
| MrMashima vs Heihachi | 8–18 | 30.77% |
| MrMashima vs Devil Jin | 7–15 | 31.82% |
| MrMashima vs Raven | 9–13 | 40.91% |
| MrMashima vs Leo | 11–9 | 55.00% |
| MrMashima vs Clive | 4–16 | 20.00% |
| MrMashima vs Feng | 7–12 | 36.84% |
| MrMashima vs Claudio | 4–15 | 21.05% |
| MrMashima vs Shaheen | 7–9 | 43.75% |
| MrMashima vs Zafina | 5–9 | 35.71% |
| MrMashima vs Kuma | 3–8 | 27.27% |
| MrMashima vs Anna | 8–1 | 88.89% |
| MrMashima vs Panda | 1–4 | 20.00% |
| MrMashima vs Fahkumram | 0–4 | 0.00% |
| MrMashima vs Miary Zo | 2–1 | 66.67% |
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.