| 太平洋‐TaiHeiYo vs Hwoarang | 121–124 | 49.39% |
| 太平洋‐TaiHeiYo vs Steve | 122–85 | 58.94% |
| 太平洋‐TaiHeiYo vs Dragunov | 130–68 | 65.66% |
| 太平洋‐TaiHeiYo vs Bryan | 123–55 | 69.10% |
| 太平洋‐TaiHeiYo vs Nina | 95–78 | 54.91% |
| 太平洋‐TaiHeiYo vs Law | 90–70 | 56.25% |
| 太平洋‐TaiHeiYo vs Heihachi | 81–78 | 50.94% |
| 太平洋‐TaiHeiYo vs Kazuya | 97–46 | 67.83% |
| 太平洋‐TaiHeiYo vs Raven | 76–59 | 56.30% |
| 太平洋‐TaiHeiYo vs King | 88–44 | 66.67% |
| 太平洋‐TaiHeiYo vs Reina | 83–47 | 63.85% |
| 太平洋‐TaiHeiYo vs Azucena | 80–49 | 62.02% |
| 太平洋‐TaiHeiYo vs Jack-8 | 77–49 | 61.11% |
| 太平洋‐TaiHeiYo vs Paul | 72–52 | 58.06% |
| 太平洋‐TaiHeiYo vs Yoshimitsu | 86–38 | 69.35% |
| 太平洋‐TaiHeiYo vs Victor | 88–35 | 71.54% |
| 太平洋‐TaiHeiYo vs Claudio | 76–45 | 62.81% |
| 太平洋‐TaiHeiYo vs Jin | 76–40 | 65.52% |
| 太平洋‐TaiHeiYo vs Feng | 65–47 | 58.04% |
| 太平洋‐TaiHeiYo vs Eddy | 75–37 | 66.96% |
| 太平洋‐TaiHeiYo vs Leroy | 64–45 | 58.72% |
| 太平洋‐TaiHeiYo vs Lars | 76–29 | 72.38% |
| 太平洋‐TaiHeiYo vs Asuka | 73–30 | 70.87% |
| 太平洋‐TaiHeiYo vs Alisa | 75–28 | 72.82% |
| 太平洋‐TaiHeiYo vs Lili | 57–41 | 58.16% |
| 太平洋‐TaiHeiYo vs Clive | 51–44 | 53.68% |
| 太平洋‐TaiHeiYo vs Xiaoyu | 44–48 | 47.83% |
| 太平洋‐TaiHeiYo vs Lee | 55–28 | 66.27% |
| 太平洋‐TaiHeiYo vs Zafina | 59–19 | 75.64% |
| 太平洋‐TaiHeiYo vs Jun | 57–18 | 76.00% |
| 太平洋‐TaiHeiYo vs Lidia | 42–25 | 62.69% |
| 太平洋‐TaiHeiYo vs Devil Jin | 44–13 | 77.19% |
| 太平洋‐TaiHeiYo vs Kuma | 40–14 | 74.07% |
| 太平洋‐TaiHeiYo vs Leo | 37–9 | 80.43% |
| 太平洋‐TaiHeiYo vs Panda | 27–15 | 64.29% |
| 太平洋‐TaiHeiYo vs Shaheen | 20–19 | 51.28% |
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.