| Seasky vs Jin | 22–27 | 44.90% |
| Seasky vs Kazuya | 27–15 | 64.29% |
| Seasky vs King | 25–13 | 65.79% |
| Seasky vs Bryan | 19–12 | 61.29% |
| Seasky vs Steve | 19–10 | 65.52% |
| Seasky vs Reina | 13–15 | 46.43% |
| Seasky vs Paul | 15–12 | 55.56% |
| Seasky vs Eddy | 19–8 | 70.37% |
| Seasky vs Lili | 20–6 | 76.92% |
| Seasky vs Dragunov | 11–14 | 44.00% |
| Seasky vs Law | 16–8 | 66.67% |
| Seasky vs Hwoarang | 15–7 | 68.18% |
| Seasky vs Xiaoyu | 11–10 | 52.38% |
| Seasky vs Yoshimitsu | 8–11 | 42.11% |
| Seasky vs Heihachi | 14–4 | 77.78% |
| Seasky vs Jack-8 | 6–10 | 37.50% |
| Seasky vs Lars | 8–6 | 57.14% |
| Seasky vs Lee | 11–3 | 78.57% |
| Seasky vs Leroy | 6–8 | 42.86% |
| Seasky vs Azucena | 10–4 | 71.43% |
| Seasky vs Alisa | 6–6 | 50.00% |
| Seasky vs Lidia | 6–6 | 50.00% |
| Seasky vs Devil Jin | 9–2 | 81.82% |
| Seasky vs Leo | 5–6 | 45.45% |
| Seasky vs Nina | 2–8 | 20.00% |
| Seasky vs Clive | 4–6 | 40.00% |
| Seasky vs Asuka | 7–2 | 77.78% |
| Seasky vs Feng | 4–4 | 50.00% |
| Seasky vs Fahkumram | 3–4 | 42.86% |
| Seasky vs Jun | 1–5 | 16.67% |
| Seasky vs Anna | 4–2 | 66.67% |
| Seasky vs Victor | 2–1 | 66.67% |
| Seasky vs Claudio | 1–1 | 50.00% |
| Seasky vs Zafina | 1–1 | 50.00% |
| Seasky vs Shaheen | 1–0 | 100.00% |
| Seasky vs Kuma | 0–1 | 0.00% |
| Seasky vs Panda | 0–1 | 0.00% |
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.