| SelfServingBias vs Reina | 20–21 | 48.78% |
| SelfServingBias vs Kazuya | 11–20 | 35.48% |
| SelfServingBias vs King | 10–18 | 35.71% |
| SelfServingBias vs Jin | 8–19 | 29.63% |
| SelfServingBias vs Lili | 5–18 | 21.74% |
| SelfServingBias vs Eddy | 4–19 | 17.39% |
| SelfServingBias vs Law | 8–11 | 42.11% |
| SelfServingBias vs Bryan | 8–11 | 42.11% |
| SelfServingBias vs Hwoarang | 6–9 | 40.00% |
| SelfServingBias vs Steve | 5–10 | 33.33% |
| SelfServingBias vs Dragunov | 2–10 | 16.67% |
| SelfServingBias vs Yoshimitsu | 5–6 | 45.45% |
| SelfServingBias vs Nina | 5–6 | 45.45% |
| SelfServingBias vs Paul | 4–6 | 40.00% |
| SelfServingBias vs Azucena | 3–6 | 33.33% |
| SelfServingBias vs Devil Jin | 2–6 | 25.00% |
| SelfServingBias vs Victor | 2–6 | 25.00% |
| SelfServingBias vs Lee | 4–3 | 57.14% |
| SelfServingBias vs Xiaoyu | 3–2 | 60.00% |
| SelfServingBias vs Lars | 2–3 | 40.00% |
| SelfServingBias vs Leroy | 4–1 | 80.00% |
| SelfServingBias vs Shaheen | 0–4 | 0.00% |
| SelfServingBias vs Kuma | 0–4 | 0.00% |
| SelfServingBias vs Jun | 2–2 | 50.00% |
| SelfServingBias vs Raven | 2–2 | 50.00% |
| SelfServingBias vs Leo | 1–2 | 33.33% |
| SelfServingBias vs Claudio | 1–2 | 33.33% |
| SelfServingBias vs Jack-8 | 2–0 | 100.00% |
| SelfServingBias vs Feng | 0–2 | 0.00% |
| SelfServingBias vs Asuka | 0–1 | 0.00% |
| SelfServingBias vs Panda | 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.