| Shawn vs King | 37–41 | 47.44% |
| Shawn vs Bryan | 27–23 | 54.00% |
| Shawn vs Eddy | 14–22 | 38.89% |
| Shawn vs Jin | 17–18 | 48.57% |
| Shawn vs Azucena | 14–21 | 40.00% |
| Shawn vs Law | 18–16 | 52.94% |
| Shawn vs Reina | 17–15 | 53.12% |
| Shawn vs Lili | 12–18 | 40.00% |
| Shawn vs Steve | 17–11 | 60.71% |
| Shawn vs Yoshimitsu | 19–6 | 76.00% |
| Shawn vs Dragunov | 15–10 | 60.00% |
| Shawn vs Kazuya | 13–11 | 54.17% |
| Shawn vs Hwoarang | 12–11 | 52.17% |
| Shawn vs Xiaoyu | 11–10 | 52.38% |
| Shawn vs Zafina | 6–12 | 33.33% |
| Shawn vs Leroy | 13–5 | 72.22% |
| Shawn vs Jun | 12–6 | 66.67% |
| Shawn vs Victor | 2–15 | 11.76% |
| Shawn vs Paul | 8–7 | 53.33% |
| Shawn vs Lee | 8–6 | 57.14% |
| Shawn vs Asuka | 7–6 | 53.85% |
| Shawn vs Claudio | 8–4 | 66.67% |
| Shawn vs Feng | 4–7 | 36.36% |
| Shawn vs Lars | 6–5 | 54.55% |
| Shawn vs Devil Jin | 5–5 | 50.00% |
| Shawn vs Leo | 3–6 | 33.33% |
| Shawn vs Kuma | 3–5 | 37.50% |
| Shawn vs Raven | 5–2 | 71.43% |
| Shawn vs Lidia | 1–6 | 14.29% |
| Shawn vs Clive | 4–3 | 57.14% |
| Shawn vs Fahkumram | 5–2 | 71.43% |
| Shawn vs Nina | 3–3 | 50.00% |
| Shawn vs Jack-8 | 4–1 | 80.00% |
| Shawn vs Alisa | 4–1 | 80.00% |
| Shawn vs Shaheen | 3–2 | 60.00% |
| Shawn vs Panda | 4–0 | 100.00% |
| Shawn vs Heihachi | 2–0 | 100.00% |
| Shawn vs Anna | 1–0 | 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.