| Waisun vs Jin | 73–89 | 45.06% |
| Waisun vs Kazuya | 61–72 | 45.86% |
| Waisun vs Hwoarang | 38–73 | 34.23% |
| Waisun vs Bryan | 57–51 | 52.78% |
| Waisun vs Reina | 55–48 | 53.40% |
| Waisun vs King | 48–53 | 47.52% |
| Waisun vs Lili | 47–45 | 51.09% |
| Waisun vs Yoshimitsu | 52–25 | 67.53% |
| Waisun vs Paul | 37–38 | 49.33% |
| Waisun vs Dragunov | 43–32 | 57.33% |
| Waisun vs Azucena | 27–40 | 40.30% |
| Waisun vs Law | 27–36 | 42.86% |
| Waisun vs Steve | 32–23 | 58.18% |
| Waisun vs Devil Jin | 24–29 | 45.28% |
| Waisun vs Alisa | 18–27 | 40.00% |
| Waisun vs Lars | 15–27 | 35.71% |
| Waisun vs Lee | 14–28 | 33.33% |
| Waisun vs Jun | 26–16 | 61.90% |
| Waisun vs Nina | 23–18 | 56.10% |
| Waisun vs Xiaoyu | 24–16 | 60.00% |
| Waisun vs Asuka | 31–9 | 77.50% |
| Waisun vs Heihachi | 18–19 | 48.65% |
| Waisun vs Eddy | 13–23 | 36.11% |
| Waisun vs Victor | 16–18 | 47.06% |
| Waisun vs Raven | 19–15 | 55.88% |
| Waisun vs Leroy | 15–17 | 46.88% |
| Waisun vs Feng | 17–13 | 56.67% |
| Waisun vs Claudio | 13–16 | 44.83% |
| Waisun vs Kuma | 12–14 | 46.15% |
| Waisun vs Jack-8 | 14–11 | 56.00% |
| Waisun vs Clive | 13–8 | 61.90% |
| Waisun vs Leo | 13–6 | 68.42% |
| Waisun vs Zafina | 4–10 | 28.57% |
| Waisun vs Shaheen | 2–6 | 25.00% |
| Waisun vs Lidia | 2–6 | 25.00% |
| Waisun vs Panda | 1–2 | 33.33% |
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.