| BlkWolff vs Reina | 49–62 | 44.14% |
| BlkWolff vs King | 43–64 | 40.19% |
| BlkWolff vs Law | 45–51 | 46.88% |
| BlkWolff vs Steve | 41–49 | 45.56% |
| BlkWolff vs Jin | 38–51 | 42.70% |
| BlkWolff vs Kazuya | 30–59 | 33.71% |
| BlkWolff vs Hwoarang | 33–44 | 42.86% |
| BlkWolff vs Jun | 29–47 | 38.16% |
| BlkWolff vs Eddy | 23–53 | 30.26% |
| BlkWolff vs Lili | 29–41 | 41.43% |
| BlkWolff vs Heihachi | 24–41 | 36.92% |
| BlkWolff vs Azucena | 24–34 | 41.38% |
| BlkWolff vs Dragunov | 17–39 | 30.36% |
| BlkWolff vs Victor | 21–28 | 42.86% |
| BlkWolff vs Asuka | 19–29 | 39.58% |
| BlkWolff vs Bryan | 20–25 | 44.44% |
| BlkWolff vs Yoshimitsu | 19–25 | 43.18% |
| BlkWolff vs Lars | 19–21 | 47.50% |
| BlkWolff vs Paul | 16–21 | 43.24% |
| BlkWolff vs Clive | 14–23 | 37.84% |
| BlkWolff vs Lidia | 24–11 | 68.57% |
| BlkWolff vs Leroy | 21–13 | 61.76% |
| BlkWolff vs Lee | 17–16 | 51.52% |
| BlkWolff vs Xiaoyu | 13–18 | 41.94% |
| BlkWolff vs Alisa | 13–17 | 43.33% |
| BlkWolff vs Jack-8 | 9–20 | 31.03% |
| BlkWolff vs Feng | 7–22 | 24.14% |
| BlkWolff vs Fahkumram | 11–16 | 40.74% |
| BlkWolff vs Nina | 14–11 | 56.00% |
| BlkWolff vs Kuma | 5–20 | 20.00% |
| BlkWolff vs Leo | 10–12 | 45.45% |
| BlkWolff vs Claudio | 4–18 | 18.18% |
| BlkWolff vs Anna | 8–11 | 42.11% |
| BlkWolff vs Shaheen | 7–10 | 41.18% |
| BlkWolff vs Armor King | 9–8 | 52.94% |
| BlkWolff vs Devil Jin | 9–7 | 56.25% |
| BlkWolff vs Zafina | 7–7 | 50.00% |
| BlkWolff vs Raven | 4–8 | 33.33% |
| BlkWolff vs Panda | 4–5 | 44.44% |
| BlkWolff vs Miary Zo | 5–2 | 71.43% |
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.