| Bl1pshift vs King | 130–154 | 45.77% |
| Bl1pshift vs Kazuya | 120–138 | 46.51% |
| Bl1pshift vs Reina | 100–126 | 44.25% |
| Bl1pshift vs Jin | 101–123 | 45.09% |
| Bl1pshift vs Law | 86–123 | 41.15% |
| Bl1pshift vs Bryan | 92–115 | 44.44% |
| Bl1pshift vs Hwoarang | 89–101 | 46.84% |
| Bl1pshift vs Steve | 84–85 | 49.70% |
| Bl1pshift vs Heihachi | 58–107 | 35.15% |
| Bl1pshift vs Dragunov | 69–77 | 47.26% |
| Bl1pshift vs Lili | 68–68 | 50.00% |
| Bl1pshift vs Lidia | 64–65 | 49.61% |
| Bl1pshift vs Paul | 37–76 | 32.74% |
| Bl1pshift vs Lee | 46–66 | 41.07% |
| Bl1pshift vs Eddy | 50–54 | 48.08% |
| Bl1pshift vs Asuka | 55–48 | 53.40% |
| Bl1pshift vs Yoshimitsu | 47–53–1 | 47.00% |
| Bl1pshift vs Azucena | 45–54 | 45.45% |
| Bl1pshift vs Xiaoyu | 35–63 | 35.71% |
| Bl1pshift vs Jun | 44–48 | 47.83% |
| Bl1pshift vs Armor King | 28–50 | 35.90% |
| Bl1pshift vs Devil Jin | 34–42 | 44.74% |
| Bl1pshift vs Lars | 29–45 | 39.19% |
| Bl1pshift vs Nina | 30–44 | 40.54% |
| Bl1pshift vs Feng | 26–46 | 36.11% |
| Bl1pshift vs Leroy | 27–43 | 38.57% |
| Bl1pshift vs Victor | 26–42 | 38.24% |
| Bl1pshift vs Alisa | 32–33 | 49.23% |
| Bl1pshift vs Leo | 29–35 | 45.31% |
| Bl1pshift vs Claudio | 27–25 | 51.92% |
| Bl1pshift vs Kuma | 23–27 | 46.00% |
| Bl1pshift vs Clive | 18–32 | 36.00% |
| Bl1pshift vs Jack-8 | 27–19 | 58.70% |
| Bl1pshift vs Raven | 19–25 | 43.18% |
| Bl1pshift vs Zafina | 16–17 | 48.48% |
| Bl1pshift vs Anna | 20–13 | 60.61% |
| Bl1pshift vs Fahkumram | 14–15 | 48.28% |
| Bl1pshift vs Shaheen | 9–7 | 56.25% |
| Bl1pshift vs Panda | 6–9 | 40.00% |
| Bl1pshift vs Miary Zo | 3–10 | 23.08% |
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.