| hwoa7ang vs Kazuya | 81–72 | 52.94% |
| hwoa7ang vs Bryan | 56–43 | 56.57% |
| hwoa7ang vs King | 48–49 | 49.48% |
| hwoa7ang vs Hwoarang | 61–32 | 65.59% |
| hwoa7ang vs Law | 45–42 | 51.72% |
| hwoa7ang vs Jin | 56–30 | 65.12% |
| hwoa7ang vs Steve | 26–48 | 35.14% |
| hwoa7ang vs Dragunov | 35–32 | 52.24% |
| hwoa7ang vs Miary Zo | 18–39 | 31.58% |
| hwoa7ang vs Paul | 26–28 | 48.15% |
| hwoa7ang vs Yoshimitsu | 26–28 | 48.15% |
| hwoa7ang vs Reina | 19–31 | 38.00% |
| hwoa7ang vs Armor King | 25–24 | 51.02% |
| hwoa7ang vs Lili | 22–23 | 48.89% |
| hwoa7ang vs Eddy | 23–22 | 51.11% |
| hwoa7ang vs Azucena | 21–19 | 52.50% |
| hwoa7ang vs Asuka | 21–16 | 56.76% |
| hwoa7ang vs Devil Jin | 17–20 | 45.95% |
| hwoa7ang vs Feng | 18–19 | 48.65% |
| hwoa7ang vs Leroy | 23–14 | 62.16% |
| hwoa7ang vs Jun | 18–18 | 50.00% |
| hwoa7ang vs Lars | 25–9 | 73.53% |
| hwoa7ang vs Lee | 15–19 | 44.12% |
| hwoa7ang vs Heihachi | 17–17 | 50.00% |
| hwoa7ang vs Xiaoyu | 18–11 | 62.07% |
| hwoa7ang vs Alisa | 16–12 | 57.14% |
| hwoa7ang vs Claudio | 8–19 | 29.63% |
| hwoa7ang vs Jack-8 | 9–17 | 34.62% |
| hwoa7ang vs Nina | 19–7 | 73.08% |
| hwoa7ang vs Victor | 17–8 | 68.00% |
| hwoa7ang vs Fahkumram | 8–15 | 34.78% |
| hwoa7ang vs Leo | 9–13 | 40.91% |
| hwoa7ang vs Raven | 10–7 | 58.82% |
| hwoa7ang vs Anna | 7–8 | 46.67% |
| hwoa7ang vs Lidia | 4–9 | 30.77% |
| hwoa7ang vs Shaheen | 5–5 | 50.00% |
| hwoa7ang vs Clive | 4–4 | 50.00% |
| hwoa7ang vs Zafina | 3–4 | 42.86% |
| hwoa7ang vs Panda | 0–5 | 0.00% |
| hwoa7ang vs Kuma | 0–3 | 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.