| H4PPYMI1 vs Reina | 15–12 | 55.56% |
| H4PPYMI1 vs Azucena | 6–16 | 27.27% |
| H4PPYMI1 vs Asuka | 9–11 | 45.00% |
| H4PPYMI1 vs Alisa | 9–11 | 45.00% |
| H4PPYMI1 vs Paul | 16–3 | 84.21% |
| H4PPYMI1 vs Bryan | 9–10 | 47.37% |
| H4PPYMI1 vs Hwoarang | 7–9 | 43.75% |
| H4PPYMI1 vs King | 9–3 | 75.00% |
| H4PPYMI1 vs Lili | 7–4 | 63.64% |
| H4PPYMI1 vs Victor | 6–5 | 54.55% |
| H4PPYMI1 vs Jin | 5–5 | 50.00% |
| H4PPYMI1 vs Kazuya | 6–4 | 60.00% |
| H4PPYMI1 vs Dragunov | 5–5 | 50.00% |
| H4PPYMI1 vs Lars | 4–6 | 40.00% |
| H4PPYMI1 vs Devil Jin | 3–5 | 37.50% |
| H4PPYMI1 vs Claudio | 4–4 | 50.00% |
| H4PPYMI1 vs Eddy | 4–3 | 57.14% |
| H4PPYMI1 vs Law | 4–2 | 66.67% |
| H4PPYMI1 vs Xiaoyu | 3–3 | 50.00% |
| H4PPYMI1 vs Jack-8 | 3–3 | 50.00% |
| H4PPYMI1 vs Kuma | 4–2 | 66.67% |
| H4PPYMI1 vs Zafina | 1–4 | 20.00% |
| H4PPYMI1 vs Jun | 5–0 | 100.00% |
| H4PPYMI1 vs Yoshimitsu | 2–2 | 50.00% |
| H4PPYMI1 vs Leo | 2–2 | 50.00% |
| H4PPYMI1 vs Nina | 4–0 | 100.00% |
| H4PPYMI1 vs Lee | 2–1 | 66.67% |
| H4PPYMI1 vs Panda | 2–1 | 66.67% |
| H4PPYMI1 vs Lidia | 2–1 | 66.67% |
| H4PPYMI1 vs Heihachi | 2–1 | 66.67% |
| H4PPYMI1 vs Anna | 2–1 | 66.67% |
| H4PPYMI1 vs Feng | 0–2 | 0.00% |
| H4PPYMI1 vs Shaheen | 0–2 | 0.00% |
| H4PPYMI1 vs Raven | 2–0 | 100.00% |
| H4PPYMI1 vs Steve | 1–0 | 100.00% |
| H4PPYMI1 vs Leroy | 1–0 | 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.