| Mikehunt vs King | 3–18 | 14.29% |
| Mikehunt vs Reina | 9–11 | 45.00% |
| Mikehunt vs Jin | 8–9 | 47.06% |
| Mikehunt vs Hwoarang | 5–10 | 33.33% |
| Mikehunt vs Law | 2–12 | 14.29% |
| Mikehunt vs Steve | 3–11 | 21.43% |
| Mikehunt vs Victor | 4–10 | 28.57% |
| Mikehunt vs Xiaoyu | 5–8 | 38.46% |
| Mikehunt vs Kazuya | 3–10 | 23.08% |
| Mikehunt vs Nina | 2–11 | 15.38% |
| Mikehunt vs Bryan | 4–8 | 33.33% |
| Mikehunt vs Dragunov | 4–8 | 33.33% |
| Mikehunt vs Paul | 3–8 | 27.27% |
| Mikehunt vs Lili | 6–5 | 54.55% |
| Mikehunt vs Heihachi | 1–9 | 10.00% |
| Mikehunt vs Leroy | 2–7 | 22.22% |
| Mikehunt vs Jun | 3–6 | 33.33% |
| Mikehunt vs Yoshimitsu | 3–5 | 37.50% |
| Mikehunt vs Clive | 2–6 | 25.00% |
| Mikehunt vs Jack-8 | 4–3 | 57.14% |
| Mikehunt vs Lidia | 2–5 | 28.57% |
| Mikehunt vs Asuka | 2–4 | 33.33% |
| Mikehunt vs Zafina | 2–4 | 33.33% |
| Mikehunt vs Eddy | 1–5 | 16.67% |
| Mikehunt vs Anna | 3–3 | 50.00% |
| Mikehunt vs Alisa | 3–2 | 60.00% |
| Mikehunt vs Claudio | 1–3 | 25.00% |
| Mikehunt vs Lee | 2–2 | 50.00% |
| Mikehunt vs Raven | 0–4 | 0.00% |
| Mikehunt vs Feng | 3–0 | 100.00% |
| Mikehunt vs Leo | 3–0 | 100.00% |
| Mikehunt vs Kuma | 0–3 | 0.00% |
| Mikehunt vs Azucena | 1–2 | 33.33% |
| Mikehunt vs Lars | 1–1 | 50.00% |
| Mikehunt vs Shaheen | 0–2 | 0.00% |
| Mikehunt 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.