| borkslab vs Hwoarang | 11–14 | 44.00% |
| borkslab vs King | 6–17 | 26.09% |
| borkslab vs Steve | 3–16 | 15.79% |
| borkslab vs Kazuya | 4–11 | 26.67% |
| borkslab vs Lidia | 5–10 | 33.33% |
| borkslab vs Clive | 6–9 | 40.00% |
| borkslab vs Nina | 8–6 | 57.14% |
| borkslab vs Jun | 3–11 | 21.43% |
| borkslab vs Law | 6–7 | 46.15% |
| borkslab vs Xiaoyu | 3–10 | 23.08% |
| borkslab vs Reina | 5–8 | 38.46% |
| borkslab vs Heihachi | 7–6 | 53.85% |
| borkslab vs Lili | 4–8 | 33.33% |
| borkslab vs Leroy | 2–10 | 16.67% |
| borkslab vs Victor | 2–10 | 16.67% |
| borkslab vs Leo | 5–6 | 45.45% |
| borkslab vs Azucena | 2–9 | 18.18% |
| borkslab vs Asuka | 3–7 | 30.00% |
| borkslab vs Jin | 2–7 | 22.22% |
| borkslab vs Jack-8 | 3–6 | 33.33% |
| borkslab vs Devil Jin | 1–7 | 12.50% |
| borkslab vs Alisa | 0–8 | 0.00% |
| borkslab vs Eddy | 2–6 | 25.00% |
| borkslab vs Dragunov | 7–0 | 100.00% |
| borkslab vs Lee | 3–3 | 50.00% |
| borkslab vs Bryan | 3–2 | 60.00% |
| borkslab vs Lars | 1–4 | 20.00% |
| borkslab vs Shaheen | 1–4 | 20.00% |
| borkslab vs Paul | 4–0 | 100.00% |
| borkslab vs Yoshimitsu | 2–2 | 50.00% |
| borkslab vs Kuma | 2–2 | 50.00% |
| borkslab vs Raven | 1–3 | 25.00% |
| borkslab vs Claudio | 0–3 | 0.00% |
| borkslab vs Zafina | 2–1 | 66.67% |
| borkslab vs Fahkumram | 1–2 | 33.33% |
| borkslab vs Anna | 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.