| BlkSwan vs Armor King | 79–113 | 41.15% |
| BlkSwan vs King | 92–99 | 48.17% |
| BlkSwan vs Kazuya | 70–112 | 38.46% |
| BlkSwan vs Steve | 111–64–1 | 63.43% |
| BlkSwan vs Jin | 81–86 | 48.50% |
| BlkSwan vs Heihachi | 67–86 | 43.79% |
| BlkSwan vs Bryan | 86–62 | 58.11% |
| BlkSwan vs Reina | 54–76 | 41.54% |
| BlkSwan vs Hwoarang | 58–51 | 53.21% |
| BlkSwan vs Law | 50–41 | 54.95% |
| BlkSwan vs Yoshimitsu | 48–37 | 56.47% |
| BlkSwan vs Jun | 45–40 | 52.94% |
| BlkSwan vs Dragunov | 38–46 | 45.24% |
| BlkSwan vs Azucena | 42–36 | 53.85% |
| BlkSwan vs Lili | 27–50 | 35.06% |
| BlkSwan vs Paul | 35–36 | 49.30% |
| BlkSwan vs Lars | 35–34 | 50.72% |
| BlkSwan vs Fahkumram | 33–36 | 47.83% |
| BlkSwan vs Lee | 26–34 | 43.33% |
| BlkSwan vs Eddy | 26–34 | 43.33% |
| BlkSwan vs Clive | 29–31 | 48.33% |
| BlkSwan vs Xiaoyu | 28–27 | 50.91% |
| BlkSwan vs Asuka | 26–29 | 47.27% |
| BlkSwan vs Feng | 20–32 | 38.46% |
| BlkSwan vs Devil Jin | 25–25 | 50.00% |
| BlkSwan vs Miary Zo | 23–23 | 50.00% |
| BlkSwan vs Nina | 30–14 | 68.18% |
| BlkSwan vs Victor | 20–20 | 50.00% |
| BlkSwan vs Leo | 14–25 | 35.90% |
| BlkSwan vs Alisa | 23–16 | 58.97% |
| BlkSwan vs Kuma | 16–19 | 45.71% |
| BlkSwan vs Leroy | 18–16 | 52.94% |
| BlkSwan vs Raven | 13–20 | 39.39% |
| BlkSwan vs Anna | 15–17 | 46.88% |
| BlkSwan vs Jack-8 | 15–15 | 50.00% |
| BlkSwan vs Shaheen | 12–15 | 44.44% |
| BlkSwan vs Lidia | 10–14 | 41.67% |
| BlkSwan vs Claudio | 3–16 | 15.79% |
| BlkSwan vs Zafina | 10–8 | 55.56% |
| BlkSwan vs Panda | 4–2 | 66.67% |
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.