| HEAL vs Fahkumram | 28–32 | 46.67% |
| HEAL vs King | 26–27 | 49.06% |
| HEAL vs Bryan | 18–26 | 40.91% |
| HEAL vs Hwoarang | 26–16 | 61.90% |
| HEAL vs Kazuya | 22–17 | 56.41% |
| HEAL vs Reina | 27–11 | 71.05% |
| HEAL vs Heihachi | 20–12 | 62.50% |
| HEAL vs Jin | 11–19 | 36.67% |
| HEAL vs Dragunov | 13–17 | 43.33% |
| HEAL vs Steve | 13–16 | 44.83% |
| HEAL vs Asuka | 14–15 | 48.28% |
| HEAL vs Lili | 16–12 | 57.14% |
| HEAL vs Law | 12–15 | 44.44% |
| HEAL vs Clive | 12–10 | 54.55% |
| HEAL vs Paul | 6–14 | 30.00% |
| HEAL vs Nina | 7–10 | 41.18% |
| HEAL vs Azucena | 7–9 | 43.75% |
| HEAL vs Anna | 5–11 | 31.25% |
| HEAL vs Lidia | 7–8 | 46.67% |
| HEAL vs Yoshimitsu | 8–6 | 57.14% |
| HEAL vs Claudio | 10–4 | 71.43% |
| HEAL vs Lee | 7–7 | 50.00% |
| HEAL vs Jack-8 | 6–6 | 50.00% |
| HEAL vs Devil Jin | 8–4 | 66.67% |
| HEAL vs Lars | 2–10 | 16.67% |
| HEAL vs Alisa | 5–7 | 41.67% |
| HEAL vs Xiaoyu | 5–6 | 45.45% |
| HEAL vs Jun | 3–8 | 27.27% |
| HEAL vs Armor King | 9–2 | 81.82% |
| HEAL vs Victor | 5–5 | 50.00% |
| HEAL vs Feng | 2–7 | 22.22% |
| HEAL vs Leroy | 5–4 | 55.56% |
| HEAL vs Leo | 4–4 | 50.00% |
| HEAL vs Shaheen | 4–2 | 66.67% |
| HEAL vs Raven | 3–3 | 50.00% |
| HEAL vs Eddy | 3–3 | 50.00% |
| HEAL vs Panda | 1–3 | 25.00% |
| HEAL vs Zafina | 3–1 | 75.00% |
| HEAL vs Kuma | 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.