| HAViiKK vs Heihachi | 92–92 | 50.00% |
| HAViiKK vs Kazuya | 81–50 | 61.83% |
| HAViiKK vs Jin | 76–49 | 60.80% |
| HAViiKK vs Reina | 78–39 | 66.67% |
| HAViiKK vs Steve | 57–48 | 54.29% |
| HAViiKK vs King | 75–29 | 72.12% |
| HAViiKK vs Bryan | 64–37 | 63.37% |
| HAViiKK vs Dragunov | 57–40 | 58.76% |
| HAViiKK vs Eddy | 51–35 | 59.30% |
| HAViiKK vs Lili | 50–32 | 60.98% |
| HAViiKK vs Devil Jin | 48–30 | 61.54% |
| HAViiKK vs Azucena | 45–28 | 61.64% |
| HAViiKK vs Hwoarang | 49–21 | 70.00% |
| HAViiKK vs Lee | 47–21 | 69.12% |
| HAViiKK vs Paul | 42–21 | 66.67% |
| HAViiKK vs Law | 32–30 | 51.61% |
| HAViiKK vs Jun | 40–22 | 64.52% |
| HAViiKK vs Yoshimitsu | 32–27 | 54.24% |
| HAViiKK vs Feng | 29–23 | 55.77% |
| HAViiKK vs Victor | 35–11 | 76.09% |
| HAViiKK vs Claudio | 24–20 | 54.55% |
| HAViiKK vs Asuka | 27–16 | 62.79% |
| HAViiKK vs Lars | 15–28 | 34.88% |
| HAViiKK vs Jack-8 | 21–16 | 56.76% |
| HAViiKK vs Shaheen | 25–11 | 69.44% |
| HAViiKK vs Xiaoyu | 25–10 | 71.43% |
| HAViiKK vs Leo | 19–14 | 57.58% |
| HAViiKK vs Leroy | 15–18 | 45.45% |
| HAViiKK vs Nina | 16–16 | 50.00% |
| HAViiKK vs Lidia | 11–18 | 37.93% |
| HAViiKK vs Alisa | 15–13 | 53.57% |
| HAViiKK vs Raven | 15–11 | 57.69% |
| HAViiKK vs Zafina | 5–7 | 41.67% |
| HAViiKK vs Kuma | 4–4 | 50.00% |
| HAViiKK vs Panda | 8–0 | 100.00% |
| HAViiKK vs Clive | 2–1 | 66.67% |
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.