| shun vs Paul | 30–14 | 68.18% |
| shun vs King | 33–6 | 84.62% |
| shun vs Leroy | 28–11 | 71.79% |
| shun vs Victor | 14–24 | 36.84% |
| shun vs Dragunov | 27–9 | 75.00% |
| shun vs Reina | 21–13 | 61.76% |
| shun vs Leo | 21–11 | 65.62% |
| shun vs Bryan | 19–12 | 61.29% |
| shun vs Kazuya | 24–6–1 | 80.00% |
| shun vs Lili | 22–7 | 75.86% |
| shun vs Lars | 15–14 | 51.72% |
| shun vs Jin | 23–5 | 82.14% |
| shun vs Hwoarang | 21–6 | 77.78% |
| shun vs Nina | 15–8 | 65.22% |
| shun vs Xiaoyu | 18–4 | 81.82% |
| shun vs Asuka | 17–4 | 80.95% |
| shun vs Steve | 14–6 | 70.00% |
| shun vs Law | 13–6 | 68.42% |
| shun vs Yoshimitsu | 7–9 | 43.75% |
| shun vs Feng | 13–3 | 81.25% |
| shun vs Claudio | 11–5 | 68.75% |
| shun vs Jun | 11–5 | 68.75% |
| shun vs Alisa | 9–5 | 64.29% |
| shun vs Azucena | 7–7 | 50.00% |
| shun vs Eddy | 7–7 | 50.00% |
| shun vs Shaheen | 8–5 | 61.54% |
| shun vs Clive | 6–7 | 46.15% |
| shun vs Armor King | 10–3 | 76.92% |
| shun vs Kuma | 7–5 | 58.33% |
| shun vs Jack-8 | 10–1 | 90.91% |
| shun vs Anna | 8–3 | 72.73% |
| shun vs Lee | 6–4 | 60.00% |
| shun vs Miary Zo | 3–6 | 33.33% |
| shun vs Zafina | 6–2 | 75.00% |
| shun vs Heihachi | 3–3 | 50.00% |
| shun vs Raven | 3–2 | 60.00% |
| shun vs Devil Jin | 2–2 | 50.00% |
| shun vs Lidia | 2–1 | 66.67% |
| shun vs Fahkumram | 1–1 | 50.00% |
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.