| ShadewX4 vs Kazuya | 15–41 | 26.79% |
| ShadewX4 vs Steve | 21–31 | 40.38% |
| ShadewX4 vs King | 16–34 | 32.00% |
| ShadewX4 vs Jin | 17–25 | 40.48% |
| ShadewX4 vs Hwoarang | 15–24 | 38.46% |
| ShadewX4 vs Lili | 12–20 | 37.50% |
| ShadewX4 vs Law | 19–11 | 63.33% |
| ShadewX4 vs Reina | 16–13 | 55.17% |
| ShadewX4 vs Lee | 7–21 | 25.00% |
| ShadewX4 vs Bryan | 8–16 | 33.33% |
| ShadewX4 vs Heihachi | 9–15 | 37.50% |
| ShadewX4 vs Feng | 4–18 | 18.18% |
| ShadewX4 vs Leroy | 10–12 | 45.45% |
| ShadewX4 vs Xiaoyu | 12–9 | 57.14% |
| ShadewX4 vs Devil Jin | 10–10 | 50.00% |
| ShadewX4 vs Lars | 11–9 | 55.00% |
| ShadewX4 vs Paul | 9–9 | 50.00% |
| ShadewX4 vs Eddy | 7–11 | 38.89% |
| ShadewX4 vs Victor | 7–10 | 41.18% |
| ShadewX4 vs Azucena | 5–11 | 31.25% |
| ShadewX4 vs Asuka | 8–7 | 53.33% |
| ShadewX4 vs Dragunov | 5–10 | 33.33% |
| ShadewX4 vs Leo | 4–11 | 26.67% |
| ShadewX4 vs Yoshimitsu | 7–7 | 50.00% |
| ShadewX4 vs Jun | 9–3 | 75.00% |
| ShadewX4 vs Lidia | 9–3 | 75.00% |
| ShadewX4 vs Nina | 2–9 | 18.18% |
| ShadewX4 vs Alisa | 3–7 | 30.00% |
| ShadewX4 vs Claudio | 5–3 | 62.50% |
| ShadewX4 vs Jack-8 | 2–4 | 33.33% |
| ShadewX4 vs Kuma | 2–4 | 33.33% |
| ShadewX4 vs Zafina | 2–4 | 33.33% |
| ShadewX4 vs Panda | 0–3 | 0.00% |
| ShadewX4 vs Shaheen | 2–0 | 100.00% |
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.