| Seebastroid vs King | 14–25 | 35.90% |
| Seebastroid vs Steve | 16–10 | 61.54% |
| Seebastroid vs Jun | 8–18 | 30.77% |
| Seebastroid vs Kazuya | 9–14 | 39.13% |
| Seebastroid vs Yoshimitsu | 10–9 | 52.63% |
| Seebastroid vs Clive | 7–12 | 36.84% |
| Seebastroid vs Law | 5–13 | 27.78% |
| Seebastroid vs Hwoarang | 7–11 | 38.89% |
| Seebastroid vs Heihachi | 5–11 | 31.25% |
| Seebastroid vs Reina | 7–8 | 46.67% |
| Seebastroid vs Victor | 7–7 | 50.00% |
| Seebastroid vs Dragunov | 9–4 | 69.23% |
| Seebastroid vs Lars | 3–10 | 23.08% |
| Seebastroid vs Azucena | 5–7 | 41.67% |
| Seebastroid vs Raven | 7–5 | 58.33% |
| Seebastroid vs Eddy | 1–8 | 11.11% |
| Seebastroid vs Lidia | 2–7 | 22.22% |
| Seebastroid vs Jin | 2–6 | 25.00% |
| Seebastroid vs Lili | 4–4 | 50.00% |
| Seebastroid vs Leroy | 2–6 | 25.00% |
| Seebastroid vs Asuka | 2–5 | 28.57% |
| Seebastroid vs Leo | 3–4 | 42.86% |
| Seebastroid vs Bryan | 3–3 | 50.00% |
| Seebastroid vs Lee | 5–1 | 83.33% |
| Seebastroid vs Jack-8 | 4–1 | 80.00% |
| Seebastroid vs Feng | 1–4 | 20.00% |
| Seebastroid vs Nina | 2–3 | 40.00% |
| Seebastroid vs Paul | 1–3 | 25.00% |
| Seebastroid vs Zafina | 0–4 | 0.00% |
| Seebastroid vs Claudio | 0–3 | 0.00% |
| Seebastroid vs Panda | 1–2 | 33.33% |
| Seebastroid vs Anna | 1–2 | 33.33% |
| Seebastroid vs Xiaoyu | 0–2 | 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.