| hearin vs Clive | 38–22 | 63.33% |
| hearin vs King | 19–27 | 41.30% |
| hearin vs Kazuya | 22–24 | 47.83% |
| hearin vs Dragunov | 22–22 | 50.00% |
| hearin vs Reina | 26–15 | 63.41% |
| hearin vs Bryan | 19–15 | 55.88% |
| hearin vs Hwoarang | 16–15 | 51.61% |
| hearin vs Paul | 11–19 | 36.67% |
| hearin vs Jin | 14–16 | 46.67% |
| hearin vs Victor | 16–14 | 53.33% |
| hearin vs Asuka | 12–9 | 57.14% |
| hearin vs Yoshimitsu | 11–9 | 55.00% |
| hearin vs Lili | 8–12 | 40.00% |
| hearin vs Alisa | 5–14 | 26.32% |
| hearin vs Steve | 9–9 | 50.00% |
| hearin vs Devil Jin | 8–10 | 44.44% |
| hearin vs Jun | 6–12 | 33.33% |
| hearin vs Heihachi | 7–10 | 41.18% |
| hearin vs Jack-8 | 7–9 | 43.75% |
| hearin vs Eddy | 6–9 | 40.00% |
| hearin vs Lars | 5–9 | 35.71% |
| hearin vs Claudio | 3–10 | 23.08% |
| hearin vs Xiaoyu | 8–4 | 66.67% |
| hearin vs Law | 5–6 | 45.45% |
| hearin vs Lee | 6–5 | 54.55% |
| hearin vs Azucena | 5–6 | 45.45% |
| hearin vs Panda | 1–7 | 12.50% |
| hearin vs Leroy | 2–6 | 25.00% |
| hearin vs Lidia | 4–4 | 50.00% |
| hearin vs Feng | 3–4 | 42.86% |
| hearin vs Nina | 3–4 | 42.86% |
| hearin vs Shaheen | 2–4 | 33.33% |
| hearin vs Kuma | 1–5 | 16.67% |
| hearin vs Miary Zo | 3–3 | 50.00% |
| hearin vs Raven | 1–3 | 25.00% |
| hearin vs Leo | 0–2 | 0.00% |
| hearin vs Anna | 0–1 | 0.00% |
| hearin vs Armor King | 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.