| ShinJin vs Reina | 17–31 | 35.42% |
| ShinJin vs Jin | 25–14 | 64.10% |
| ShinJin vs King | 20–17 | 54.05% |
| ShinJin vs Kazuya | 29–8 | 78.38% |
| ShinJin vs Feng | 17–19 | 47.22% |
| ShinJin vs Hwoarang | 21–14 | 60.00% |
| ShinJin vs Bryan | 19–16 | 54.29% |
| ShinJin vs Dragunov | 22–12 | 64.71% |
| ShinJin vs Yoshimitsu | 16–14 | 53.33% |
| ShinJin vs Devil Jin | 15–13 | 53.57% |
| ShinJin vs Lee | 11–17 | 39.29% |
| ShinJin vs Raven | 17–8 | 68.00% |
| ShinJin vs Steve | 7–15 | 31.82% |
| ShinJin vs Paul | 14–7 | 66.67% |
| ShinJin vs Lili | 14–7 | 66.67% |
| ShinJin vs Law | 15–5 | 75.00% |
| ShinJin vs Lars | 9–11 | 45.00% |
| ShinJin vs Leo | 16–3 | 84.21% |
| ShinJin vs Alisa | 11–8 | 57.89% |
| ShinJin vs Xiaoyu | 9–8 | 52.94% |
| ShinJin vs Azucena | 10–5 | 66.67% |
| ShinJin vs Nina | 7–7 | 50.00% |
| ShinJin vs Victor | 7–7 | 50.00% |
| ShinJin vs Jack-8 | 6–5 | 54.55% |
| ShinJin vs Heihachi | 2–9 | 18.18% |
| ShinJin vs Asuka | 7–3 | 70.00% |
| ShinJin vs Claudio | 8–2 | 80.00% |
| ShinJin vs Jun | 7–3 | 70.00% |
| ShinJin vs Lidia | 4–6 | 40.00% |
| ShinJin vs Kuma | 2–7 | 22.22% |
| ShinJin vs Eddy | 7–2 | 77.78% |
| ShinJin vs Zafina | 4–2 | 66.67% |
| ShinJin vs Anna | 4–2 | 66.67% |
| ShinJin vs Shaheen | 2–3 | 40.00% |
| ShinJin vs Clive | 1–4 | 20.00% |
| ShinJin vs Fahkumram | 2–1 | 66.67% |
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.