| Sakoseafoam vs Kazuya | 21–16 | 56.76% |
| Sakoseafoam vs Reina | 20–13 | 60.61% |
| Sakoseafoam vs Bryan | 10–12 | 45.45% |
| Sakoseafoam vs King | 14–7 | 66.67% |
| Sakoseafoam vs Jin | 10–9 | 52.63% |
| Sakoseafoam vs Hwoarang | 5–12 | 29.41% |
| Sakoseafoam vs Devil Jin | 10–7 | 58.82% |
| Sakoseafoam vs Nina | 9–8 | 52.94% |
| Sakoseafoam vs Yoshimitsu | 13–3 | 81.25% |
| Sakoseafoam vs Steve | 9–6 | 60.00% |
| Sakoseafoam vs Lars | 8–4 | 66.67% |
| Sakoseafoam vs Dragunov | 8–2 | 80.00% |
| Sakoseafoam vs Feng | 4–5 | 44.44% |
| Sakoseafoam vs Azucena | 4–5 | 44.44% |
| Sakoseafoam vs Victor | 7–2 | 77.78% |
| Sakoseafoam vs Paul | 5–3 | 62.50% |
| Sakoseafoam vs Lili | 4–4 | 50.00% |
| Sakoseafoam vs Claudio | 4–4 | 50.00% |
| Sakoseafoam vs Jun | 4–4 | 50.00% |
| Sakoseafoam vs Xiaoyu | 2–4 | 33.33% |
| Sakoseafoam vs Raven | 1–4 | 20.00% |
| Sakoseafoam vs Law | 3–1 | 75.00% |
| Sakoseafoam vs Jack-8 | 2–2 | 50.00% |
| Sakoseafoam vs Leo | 2–2 | 50.00% |
| Sakoseafoam vs Kuma | 1–3 | 25.00% |
| Sakoseafoam vs Panda | 2–2 | 50.00% |
| Sakoseafoam vs Leroy | 0–3 | 0.00% |
| Sakoseafoam vs Alisa | 1–1 | 50.00% |
| Sakoseafoam vs Shaheen | 2–0 | 100.00% |
| Sakoseafoam vs Lee | 2–0 | 100.00% |
| Sakoseafoam vs Zafina | 2–0 | 100.00% |
| Sakoseafoam vs Eddy | 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.