| A-Yue vs Dragunov | 93–94 | 49.73% |
| A-Yue vs Kazuya | 100–83 | 54.64% |
| A-Yue vs Reina | 89–88 | 50.28% |
| A-Yue vs Jin | 61–80 | 43.26% |
| A-Yue vs Paul | 58–80 | 42.03% |
| A-Yue vs King | 59–78 | 43.07% |
| A-Yue vs Hwoarang | 51–78 | 39.53% |
| A-Yue vs Bryan | 63–59 | 51.64% |
| A-Yue vs Lili | 57–50 | 53.27% |
| A-Yue vs Victor | 41–61 | 40.20% |
| A-Yue vs Eddy | 49–48 | 50.52% |
| A-Yue vs Asuka | 41–47 | 46.59% |
| A-Yue vs Yoshimitsu | 36–46 | 43.90% |
| A-Yue vs Law | 26–52 | 33.33% |
| A-Yue vs Steve | 33–44 | 42.86% |
| A-Yue vs Azucena | 30–45 | 40.00% |
| A-Yue vs Heihachi | 34–36 | 48.57% |
| A-Yue vs Lars | 31–31 | 50.00% |
| A-Yue vs Xiaoyu | 25–36 | 40.98% |
| A-Yue vs Jun | 19–42 | 31.15% |
| A-Yue vs Devil Jin | 20–40 | 33.33% |
| A-Yue vs Feng | 30–30 | 50.00% |
| A-Yue vs Leo | 21–27 | 43.75% |
| A-Yue vs Lidia | 15–27 | 35.71% |
| A-Yue vs Raven | 16–25 | 39.02% |
| A-Yue vs Alisa | 17–23 | 42.50% |
| A-Yue vs Leroy | 25–14 | 64.10% |
| A-Yue vs Zafina | 14–23 | 37.84% |
| A-Yue vs Nina | 14–22 | 38.89% |
| A-Yue vs Claudio | 15–20 | 42.86% |
| A-Yue vs Kuma | 12–23 | 34.29% |
| A-Yue vs Clive | 15–20 | 42.86% |
| A-Yue vs Jack-8 | 5–22 | 18.52% |
| A-Yue vs Lee | 10–10 | 50.00% |
| A-Yue vs Shaheen | 4–9 | 30.77% |
| A-Yue vs Panda | 7–5 | 58.33% |
| A-Yue vs Miary Zo | 4–1 | 80.00% |
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.