| ItsMacNasty vs King | 46–38 | 54.76% |
| ItsMacNasty vs Jin | 32–51 | 38.55% |
| ItsMacNasty vs Hwoarang | 33–25 | 56.90% |
| ItsMacNasty vs Kazuya | 38–19 | 66.67% |
| ItsMacNasty vs Bryan | 26–30 | 46.43% |
| ItsMacNasty vs Azucena | 25–22 | 53.19% |
| ItsMacNasty vs Reina | 19–27 | 41.30% |
| ItsMacNasty vs Xiaoyu | 19–19 | 50.00% |
| ItsMacNasty vs Steve | 21–17 | 55.26% |
| ItsMacNasty vs Lee | 18–17 | 51.43% |
| ItsMacNasty vs Lili | 17–17 | 50.00% |
| ItsMacNasty vs Yoshimitsu | 17–16 | 51.52% |
| ItsMacNasty vs Jun | 13–20 | 39.39% |
| ItsMacNasty vs Law | 11–21 | 34.38% |
| ItsMacNasty vs Eddy | 18–14 | 56.25% |
| ItsMacNasty vs Paul | 14–15 | 48.28% |
| ItsMacNasty vs Leo | 12–13 | 48.00% |
| ItsMacNasty vs Devil Jin | 10–12 | 45.45% |
| ItsMacNasty vs Victor | 15–7 | 68.18% |
| ItsMacNasty vs Dragunov | 10–11 | 47.62% |
| ItsMacNasty vs Lars | 9–12 | 42.86% |
| ItsMacNasty vs Nina | 11–10 | 52.38% |
| ItsMacNasty vs Jack-8 | 7–9 | 43.75% |
| ItsMacNasty vs Zafina | 9–7 | 56.25% |
| ItsMacNasty vs Asuka | 8–6 | 57.14% |
| ItsMacNasty vs Alisa | 7–6 | 53.85% |
| ItsMacNasty vs Heihachi | 5–8 | 38.46% |
| ItsMacNasty vs Miary Zo | 3–9 | 25.00% |
| ItsMacNasty vs Feng | 5–6 | 45.45% |
| ItsMacNasty vs Claudio | 6–4 | 60.00% |
| ItsMacNasty vs Leroy | 4–5 | 44.44% |
| ItsMacNasty vs Kuma | 4–4 | 50.00% |
| ItsMacNasty vs Raven | 4–4 | 50.00% |
| ItsMacNasty vs Lidia | 1–4 | 20.00% |
| ItsMacNasty vs Fahkumram | 3–2 | 60.00% |
| ItsMacNasty vs Armor King | 2–3 | 40.00% |
| ItsMacNasty vs Shaheen | 3–1 | 75.00% |
| ItsMacNasty vs Clive | 1–3 | 25.00% |
| ItsMacNasty vs Panda | 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.