| Mace_xo vs Jin | 91–88 | 50.84% |
| Mace_xo vs Kazuya | 51–91 | 35.92% |
| Mace_xo vs King | 60–77 | 43.80% |
| Mace_xo vs Bryan | 52–81 | 39.10% |
| Mace_xo vs Paul | 33–59 | 35.87% |
| Mace_xo vs Steve | 53–38 | 58.24% |
| Mace_xo vs Reina | 42–42 | 50.00% |
| Mace_xo vs Eddy | 31–50 | 38.27% |
| Mace_xo vs Yoshimitsu | 32–44 | 42.11% |
| Mace_xo vs Clive | 40–35 | 53.33% |
| Mace_xo vs Law | 19–51 | 27.14% |
| Mace_xo vs Dragunov | 32–38 | 45.71% |
| Mace_xo vs Lili | 30–37 | 44.78% |
| Mace_xo vs Lee | 24–42 | 36.36% |
| Mace_xo vs Victor | 33–33 | 50.00% |
| Mace_xo vs Hwoarang | 27–37 | 42.19% |
| Mace_xo vs Nina | 19–31 | 38.00% |
| Mace_xo vs Jun | 28–22 | 56.00% |
| Mace_xo vs Asuka | 15–33 | 31.25% |
| Mace_xo vs Devil Jin | 24–20 | 54.55% |
| Mace_xo vs Alisa | 26–16 | 61.90% |
| Mace_xo vs Xiaoyu | 24–15 | 61.54% |
| Mace_xo vs Feng | 12–22 | 35.29% |
| Mace_xo vs Kuma | 20–11 | 64.52% |
| Mace_xo vs Azucena | 14–15 | 48.28% |
| Mace_xo vs Leo | 10–18 | 35.71% |
| Mace_xo vs Lars | 12–16 | 42.86% |
| Mace_xo vs Claudio | 12–15 | 44.44% |
| Mace_xo vs Zafina | 16–11 | 59.26% |
| Mace_xo vs Heihachi | 12–15 | 44.44% |
| Mace_xo vs Raven | 14–11 | 56.00% |
| Mace_xo vs Lidia | 4–20 | 16.67% |
| Mace_xo vs Jack-8 | 5–16 | 23.81% |
| Mace_xo vs Leroy | 7–14 | 33.33% |
| Mace_xo vs Shaheen | 7–8 | 46.67% |
| Mace_xo vs Panda | 4–5 | 44.44% |
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.