| Brellos vs Kazuya | 31–31 | 50.00% |
| Brellos vs Jin | 23–34 | 40.35% |
| Brellos vs King | 16–32 | 33.33% |
| Brellos vs Devil Jin | 14–26 | 35.00% |
| Brellos vs Bryan | 23–15 | 60.53% |
| Brellos vs Steve | 11–21 | 34.38% |
| Brellos vs Reina | 12–19 | 38.71% |
| Brellos vs Dragunov | 15–15 | 50.00% |
| Brellos vs Heihachi | 17–13 | 56.67% |
| Brellos vs Asuka | 10–14 | 41.67% |
| Brellos vs Jun | 11–12 | 47.83% |
| Brellos vs Lee | 8–13 | 38.10% |
| Brellos vs Azucena | 10–10 | 50.00% |
| Brellos vs Yoshimitsu | 9–10 | 47.37% |
| Brellos vs Hwoarang | 5–13 | 27.78% |
| Brellos vs Feng | 9–8 | 52.94% |
| Brellos vs Nina | 7–10 | 41.18% |
| Brellos vs Eddy | 4–13 | 23.53% |
| Brellos vs Zafina | 8–7 | 53.33% |
| Brellos vs Leo | 10–4 | 71.43% |
| Brellos vs Law | 5–7 | 41.67% |
| Brellos vs Lili | 3–9 | 25.00% |
| Brellos vs Lars | 4–8 | 33.33% |
| Brellos vs Paul | 3–8 | 27.27% |
| Brellos vs Alisa | 2–7 | 22.22% |
| Brellos vs Lidia | 5–3 | 62.50% |
| Brellos vs Leroy | 6–1 | 85.71% |
| Brellos vs Raven | 3–4 | 42.86% |
| Brellos vs Jack-8 | 0–6 | 0.00% |
| Brellos vs Claudio | 2–4 | 33.33% |
| Brellos vs Kuma | 2–4 | 33.33% |
| Brellos vs Victor | 1–4 | 20.00% |
| Brellos vs Xiaoyu | 2–2 | 50.00% |
| Brellos vs Shaheen | 0–2 | 0.00% |
| Brellos vs Panda | 2–0 | 100.00% |
| Brellos vs Fahkumram | 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.