| Mac_ vs Bryan | 66–24 | 73.33% |
| Mac_ vs Kazuya | 60–26 | 69.77% |
| Mac_ vs Jin | 42–24 | 63.64% |
| Mac_ vs King | 43–21 | 67.19% |
| Mac_ vs Heihachi | 50–7 | 87.72% |
| Mac_ vs Eddy | 40–15 | 72.73% |
| Mac_ vs Hwoarang | 35–16 | 68.63% |
| Mac_ vs Reina | 34–17 | 66.67% |
| Mac_ vs Paul | 35–12 | 74.47% |
| Mac_ vs Yoshimitsu | 29–12 | 70.73% |
| Mac_ vs Jun | 27–13 | 67.50% |
| Mac_ vs Steve | 21–14 | 60.00% |
| Mac_ vs Law | 21–12 | 63.64% |
| Mac_ vs Azucena | 16–16–1 | 50.00% |
| Mac_ vs Asuka | 23–9 | 71.88% |
| Mac_ vs Armor King | 24–7 | 77.42% |
| Mac_ vs Xiaoyu | 21–8 | 72.41% |
| Mac_ vs Feng | 20–9 | 68.97% |
| Mac_ vs Lili | 21–7 | 75.00% |
| Mac_ vs Fahkumram | 14–14 | 50.00% |
| Mac_ vs Devil Jin | 19–8 | 70.37% |
| Mac_ vs Victor | 15–12 | 55.56% |
| Mac_ vs Alisa | 18–8 | 69.23% |
| Mac_ vs Nina | 16–9 | 64.00% |
| Mac_ vs Dragunov | 16–8 | 66.67% |
| Mac_ vs Lars | 18–6 | 75.00% |
| Mac_ vs Anna | 17–7 | 70.83% |
| Mac_ vs Leo | 9–11 | 45.00% |
| Mac_ vs Kuma | 10–10 | 50.00% |
| Mac_ vs Jack-8 | 15–3 | 83.33% |
| Mac_ vs Clive | 11–6–1 | 64.71% |
| Mac_ vs Zafina | 13–4 | 76.47% |
| Mac_ vs Lee | 8–8 | 50.00% |
| Mac_ vs Leroy | 5–8 | 38.46% |
| Mac_ vs Raven | 8–5 | 61.54% |
| Mac_ vs Shaheen | 10–2 | 83.33% |
| Mac_ vs Lidia | 6–5 | 54.55% |
| Mac_ vs Claudio | 3–4 | 42.86% |
| Mac_ vs Panda | 0–2 | 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.