| HEIZE vs King | 26–33 | 44.07% |
| HEIZE vs Reina | 21–31 | 40.38% |
| HEIZE vs Kazuya | 24–26 | 48.00% |
| HEIZE vs Lili | 20–24 | 45.45% |
| HEIZE vs Jin | 20–20 | 50.00% |
| HEIZE vs Bryan | 14–26 | 35.00% |
| HEIZE vs Lee | 23–16 | 58.97% |
| HEIZE vs Yoshimitsu | 20–15 | 57.14% |
| HEIZE vs Azucena | 17–16 | 51.52% |
| HEIZE vs Hwoarang | 15–12 | 55.56% |
| HEIZE vs Law | 11–15 | 42.31% |
| HEIZE vs Lidia | 16–10 | 61.54% |
| HEIZE vs Victor | 12–12 | 50.00% |
| HEIZE vs Steve | 7–16 | 30.43% |
| HEIZE vs Paul | 13–9 | 59.09% |
| HEIZE vs Jun | 9–11 | 45.00% |
| HEIZE vs Lars | 11–7 | 61.11% |
| HEIZE vs Leo | 11–5 | 68.75% |
| HEIZE vs Nina | 7–9 | 43.75% |
| HEIZE vs Eddy | 9–7 | 56.25% |
| HEIZE vs Devil Jin | 6–9 | 40.00% |
| HEIZE vs Leroy | 7–8 | 46.67% |
| HEIZE vs Raven | 9–6 | 60.00% |
| HEIZE vs Dragunov | 8–6 | 57.14% |
| HEIZE vs Fahkumram | 4–10 | 28.57% |
| HEIZE vs Zafina | 3–10 | 23.08% |
| HEIZE vs Heihachi | 4–9 | 30.77% |
| HEIZE vs Xiaoyu | 3–8 | 27.27% |
| HEIZE vs Feng | 7–4 | 63.64% |
| HEIZE vs Kuma | 8–1 | 88.89% |
| HEIZE vs Asuka | 5–2 | 71.43% |
| HEIZE vs Anna | 4–3 | 57.14% |
| HEIZE vs Shaheen | 2–4 | 33.33% |
| HEIZE vs Claudio | 1–4 | 20.00% |
| HEIZE vs Alisa | 0–4 | 0.00% |
| HEIZE vs Jack-8 | 0–3 | 0.00% |
| HEIZE vs Clive | 3–0 | 100.00% |
| HEIZE vs Panda | 0–2 | 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.