| SUN Mack vs Kazuya | 25–27 | 48.08% |
| SUN Mack vs Eddy | 28–22 | 56.00% |
| SUN Mack vs King | 21–21 | 50.00% |
| SUN Mack vs Jin | 14–23 | 37.84% |
| SUN Mack vs Yoshimitsu | 19–12 | 61.29% |
| SUN Mack vs Reina | 23–8 | 74.19% |
| SUN Mack vs Lidia | 9–22 | 29.03% |
| SUN Mack vs Law | 18–11 | 62.07% |
| SUN Mack vs Hwoarang | 15–12 | 55.56% |
| SUN Mack vs Steve | 13–12 | 52.00% |
| SUN Mack vs Bryan | 10–13 | 43.48% |
| SUN Mack vs Raven | 13–8 | 61.90% |
| SUN Mack vs Leo | 12–8 | 60.00% |
| SUN Mack vs Xiaoyu | 15–4 | 78.95% |
| SUN Mack vs Dragunov | 5–13 | 27.78% |
| SUN Mack vs Lee | 6–10 | 37.50% |
| SUN Mack vs Azucena | 11–5 | 68.75% |
| SUN Mack vs Paul | 7–8 | 46.67% |
| SUN Mack vs Jack-8 | 8–6 | 57.14% |
| SUN Mack vs Asuka | 4–10 | 28.57% |
| SUN Mack vs Alisa | 8–6 | 57.14% |
| SUN Mack vs Lars | 8–5 | 61.54% |
| SUN Mack vs Jun | 8–5 | 61.54% |
| SUN Mack vs Devil Jin | 6–6 | 50.00% |
| SUN Mack vs Lili | 5–6 | 45.45% |
| SUN Mack vs Feng | 5–5 | 50.00% |
| SUN Mack vs Nina | 3–7 | 30.00% |
| SUN Mack vs Zafina | 4–4 | 50.00% |
| SUN Mack vs Victor | 4–4 | 50.00% |
| SUN Mack vs Kuma | 3–1 | 75.00% |
| SUN Mack vs Leroy | 3–1 | 75.00% |
| SUN Mack vs Heihachi | 1–3 | 25.00% |
| SUN Mack vs Claudio | 2–1 | 66.67% |
| SUN Mack vs Shaheen | 1–2 | 33.33% |
| SUN Mack vs Panda | 2–0 | 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.