| BlvckLynx16 vs Jin | 66–67 | 49.62% |
| BlvckLynx16 vs Clive | 56–60 | 48.28% |
| BlvckLynx16 vs King | 39–53 | 42.39% |
| BlvckLynx16 vs Kazuya | 37–52 | 41.57% |
| BlvckLynx16 vs Law | 22–65 | 25.29% |
| BlvckLynx16 vs Hwoarang | 36–48 | 42.86% |
| BlvckLynx16 vs Dragunov | 31–25 | 55.36% |
| BlvckLynx16 vs Reina | 28–23 | 54.90% |
| BlvckLynx16 vs Nina | 23–25 | 47.92% |
| BlvckLynx16 vs Steve | 23–24 | 48.94% |
| BlvckLynx16 vs Lili | 23–23 | 50.00% |
| BlvckLynx16 vs Eddy | 21–25 | 45.65% |
| BlvckLynx16 vs Paul | 14–30 | 31.82% |
| BlvckLynx16 vs Bryan | 19–21 | 47.50% |
| BlvckLynx16 vs Yoshimitsu | 16–21 | 43.24% |
| BlvckLynx16 vs Victor | 8–27 | 22.86% |
| BlvckLynx16 vs Jun | 18–16 | 52.94% |
| BlvckLynx16 vs Heihachi | 16–16 | 50.00% |
| BlvckLynx16 vs Azucena | 16–10 | 61.54% |
| BlvckLynx16 vs Xiaoyu | 7–18 | 28.00% |
| BlvckLynx16 vs Lars | 7–16 | 30.43% |
| BlvckLynx16 vs Lee | 6–14 | 30.00% |
| BlvckLynx16 vs Feng | 6–12 | 33.33% |
| BlvckLynx16 vs Jack-8 | 8–8 | 50.00% |
| BlvckLynx16 vs Devil Jin | 9–7 | 56.25% |
| BlvckLynx16 vs Alisa | 8–6 | 57.14% |
| BlvckLynx16 vs Lidia | 2–9 | 18.18% |
| BlvckLynx16 vs Shaheen | 5–5 | 50.00% |
| BlvckLynx16 vs Claudio | 2–7 | 22.22% |
| BlvckLynx16 vs Zafina | 7–2 | 77.78% |
| BlvckLynx16 vs Leroy | 1–8 | 11.11% |
| BlvckLynx16 vs Leo | 6–2 | 75.00% |
| BlvckLynx16 vs Kuma | 7–1 | 87.50% |
| BlvckLynx16 vs Asuka | 2–4 | 33.33% |
| BlvckLynx16 vs Raven | 4–0 | 100.00% |
| BlvckLynx16 vs Panda | 2–1 | 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.