| BluSkyy vs Bryan | 31–16 | 65.96% |
| BluSkyy vs Lee | 27–20 | 57.45% |
| BluSkyy vs Reina | 26–19 | 57.78% |
| BluSkyy vs Kazuya | 33–8 | 80.49% |
| BluSkyy vs Jin | 27–11 | 71.05% |
| BluSkyy vs Law | 23–9 | 71.88% |
| BluSkyy vs Paul | 18–9 | 66.67% |
| BluSkyy vs Hwoarang | 21–5 | 80.77% |
| BluSkyy vs Nina | 16–10 | 61.54% |
| BluSkyy vs Yoshimitsu | 14–11 | 56.00% |
| BluSkyy vs Dragunov | 16–9 | 64.00% |
| BluSkyy vs Jun | 14–9 | 60.87% |
| BluSkyy vs Devil Jin | 16–5 | 76.19% |
| BluSkyy vs Zafina | 12–9 | 57.14% |
| BluSkyy vs Steve | 14–6 | 70.00% |
| BluSkyy vs Feng | 13–7 | 65.00% |
| BluSkyy vs Azucena | 14–5 | 73.68% |
| BluSkyy vs Lili | 15–3 | 83.33% |
| BluSkyy vs Lars | 8–8 | 50.00% |
| BluSkyy vs King | 11–4 | 73.33% |
| BluSkyy vs Raven | 8–7 | 53.33% |
| BluSkyy vs Xiaoyu | 9–5 | 64.29% |
| BluSkyy vs Leroy | 6–8 | 42.86% |
| BluSkyy vs Lidia | 6–8 | 42.86% |
| BluSkyy vs Alisa | 6–7 | 46.15% |
| BluSkyy vs Victor | 6–7 | 46.15% |
| BluSkyy vs Heihachi | 7–6 | 53.85% |
| BluSkyy vs Jack-8 | 8–4 | 66.67% |
| BluSkyy vs Leo | 9–3 | 75.00% |
| BluSkyy vs Kuma | 6–6 | 50.00% |
| BluSkyy vs Claudio | 7–2 | 77.78% |
| BluSkyy vs Eddy | 7–2 | 77.78% |
| BluSkyy vs Asuka | 5–2 | 71.43% |
| BluSkyy vs Shaheen | 3–4 | 42.86% |
| BluSkyy vs Clive | 2–1 | 66.67% |
| BluSkyy vs Panda | 2–0 | 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.