| TheSeraphFn vs King | 9–12 | 42.86% |
| TheSeraphFn vs Jin | 12–7 | 63.16% |
| TheSeraphFn vs Lee | 7–12 | 36.84% |
| TheSeraphFn vs Law | 9–9 | 50.00% |
| TheSeraphFn vs Hwoarang | 5–13 | 27.78% |
| TheSeraphFn vs Heihachi | 13–3 | 81.25% |
| TheSeraphFn vs Armor King | 8–8 | 50.00% |
| TheSeraphFn vs Paul | 9–6 | 60.00% |
| TheSeraphFn vs Kazuya | 9–6 | 60.00% |
| TheSeraphFn vs Reina | 9–6 | 60.00% |
| TheSeraphFn vs Azucena | 9–5 | 64.29% |
| TheSeraphFn vs Miary Zo | 8–5 | 61.54% |
| TheSeraphFn vs Steve | 4–8 | 33.33% |
| TheSeraphFn vs Feng | 8–4 | 66.67% |
| TheSeraphFn vs Lili | 8–4 | 66.67% |
| TheSeraphFn vs Lars | 5–7 | 41.67% |
| TheSeraphFn vs Victor | 9–3 | 75.00% |
| TheSeraphFn vs Bryan | 5–5 | 50.00% |
| TheSeraphFn vs Eddy | 4–6 | 40.00% |
| TheSeraphFn vs Jack-8 | 5–3 | 62.50% |
| TheSeraphFn vs Fahkumram | 6–2 | 75.00% |
| TheSeraphFn vs Yoshimitsu | 2–5 | 28.57% |
| TheSeraphFn vs Xiaoyu | 2–5 | 28.57% |
| TheSeraphFn vs Zafina | 1–4 | 20.00% |
| TheSeraphFn vs Jun | 4–1 | 80.00% |
| TheSeraphFn vs Clive | 4–1 | 80.00% |
| TheSeraphFn vs Dragunov | 3–1 | 75.00% |
| TheSeraphFn vs Shaheen | 3–1 | 75.00% |
| TheSeraphFn vs Lidia | 2–2 | 50.00% |
| TheSeraphFn vs Alisa | 1–2 | 33.33% |
| TheSeraphFn vs Nina | 3–0 | 100.00% |
| TheSeraphFn vs Leroy | 2–1 | 66.67% |
| TheSeraphFn vs Raven | 1–2 | 33.33% |
| TheSeraphFn vs Asuka | 2–0 | 100.00% |
| TheSeraphFn vs Devil Jin | 2–0 | 100.00% |
| TheSeraphFn vs Kuma | 2–0 | 100.00% |
| TheSeraphFn vs Panda | 1–1 | 50.00% |
| TheSeraphFn vs Anna | 2–0 | 100.00% |
| TheSeraphFn vs Leo | 1–0 | 100.00% |
| TheSeraphFn vs Claudio | 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.