| Brian Damage vs King | 27–26 | 50.94% |
| Brian Damage vs Jun | 12–24 | 33.33% |
| Brian Damage vs Hwoarang | 19–15 | 55.88% |
| Brian Damage vs Victor | 17–11 | 60.71% |
| Brian Damage vs Yoshimitsu | 14–12 | 53.85% |
| Brian Damage vs Jin | 12–13 | 48.00% |
| Brian Damage vs Dragunov | 13–11 | 54.17% |
| Brian Damage vs Kazuya | 9–13 | 40.91% |
| Brian Damage vs Steve | 10–12 | 45.45% |
| Brian Damage vs Nina | 6–15 | 28.57% |
| Brian Damage vs Reina | 12–9 | 57.14% |
| Brian Damage vs Lili | 11–9 | 55.00% |
| Brian Damage vs Lee | 9–9 | 50.00% |
| Brian Damage vs Bryan | 12–5 | 70.59% |
| Brian Damage vs Asuka | 12–5 | 70.59% |
| Brian Damage vs Eddy | 7–10 | 41.18% |
| Brian Damage vs Azucena | 9–7 | 56.25% |
| Brian Damage vs Raven | 8–8 | 50.00% |
| Brian Damage vs Law | 8–7 | 53.33% |
| Brian Damage vs Devil Jin | 7–8 | 46.67% |
| Brian Damage vs Lidia | 7–8 | 46.67% |
| Brian Damage vs Paul | 6–7 | 46.15% |
| Brian Damage vs Claudio | 5–8 | 38.46% |
| Brian Damage vs Heihachi | 4–9 | 30.77% |
| Brian Damage vs Xiaoyu | 6–6 | 50.00% |
| Brian Damage vs Jack-8 | 4–8 | 33.33% |
| Brian Damage vs Feng | 5–7 | 41.67% |
| Brian Damage vs Leo | 6–6 | 50.00% |
| Brian Damage vs Lars | 5–5 | 50.00% |
| Brian Damage vs Anna | 5–2 | 71.43% |
| Brian Damage vs Kuma | 4–2 | 66.67% |
| Brian Damage vs Panda | 4–2 | 66.67% |
| Brian Damage vs Alisa | 2–3 | 40.00% |
| Brian Damage vs Leroy | 1–3 | 25.00% |
| Brian Damage vs Clive | 2–2 | 50.00% |
| Brian Damage vs Zafina | 3–0 | 100.00% |
| Brian Damage vs Armor King | 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.