| AWE|Brolics vs King | 23–10 | 69.70% |
| AWE|Brolics vs Kazuya | 17–4 | 80.95% |
| AWE|Brolics vs Steve | 15–5 | 75.00% |
| AWE|Brolics vs Hwoarang | 15–3 | 83.33% |
| AWE|Brolics vs Paul | 13–3 | 81.25% |
| AWE|Brolics vs Law | 8–8 | 50.00% |
| AWE|Brolics vs Jin | 14–2 | 87.50% |
| AWE|Brolics vs Nina | 9–6 | 60.00% |
| AWE|Brolics vs Jack-8 | 5–8 | 38.46% |
| AWE|Brolics vs Lili | 6–7 | 46.15% |
| AWE|Brolics vs Dragunov | 10–2 | 83.33% |
| AWE|Brolics vs Jun | 10–2 | 83.33% |
| AWE|Brolics vs Clive | 10–2 | 83.33% |
| AWE|Brolics vs Lars | 5–6 | 45.45% |
| AWE|Brolics vs Lee | 9–2 | 81.82% |
| AWE|Brolics vs Reina | 8–3 | 72.73% |
| AWE|Brolics vs Devil Jin | 6–4 | 60.00% |
| AWE|Brolics vs Azucena | 10–0 | 100.00% |
| AWE|Brolics vs Eddy | 7–3 | 70.00% |
| AWE|Brolics vs Asuka | 7–2 | 77.78% |
| AWE|Brolics vs Yoshimitsu | 7–1 | 87.50% |
| AWE|Brolics vs Bryan | 8–0 | 100.00% |
| AWE|Brolics vs Xiaoyu | 4–3 | 57.14% |
| AWE|Brolics vs Feng | 4–3 | 57.14% |
| AWE|Brolics vs Alisa | 2–5 | 28.57% |
| AWE|Brolics vs Kuma | 3–4 | 42.86% |
| AWE|Brolics vs Heihachi | 3–4 | 42.86% |
| AWE|Brolics vs Leroy | 5–0 | 100.00% |
| AWE|Brolics vs Lidia | 3–2 | 60.00% |
| AWE|Brolics vs Claudio | 2–2 | 50.00% |
| AWE|Brolics vs Shaheen | 4–0 | 100.00% |
| AWE|Brolics vs Victor | 3–1 | 75.00% |
| AWE|Brolics vs Raven | 4–0 | 100.00% |
| AWE|Brolics vs Leo | 2–0 | 100.00% |
| AWE|Brolics vs Miary Zo | 0–2 | 0.00% |
| AWE|Brolics vs Panda | 1–0 | 100.00% |
| AWE|Brolics vs Anna | 0–1 | 0.00% |
| AWE|Brolics vs Armor King | 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.