| IPC|Bluey vs King | 113–93 | 54.85% |
| IPC|Bluey vs Hwoarang | 79–101 | 43.89% |
| IPC|Bluey vs Kazuya | 103–69 | 59.88% |
| IPC|Bluey vs Law | 88–78 | 53.01% |
| IPC|Bluey vs Steve | 77–81 | 48.73% |
| IPC|Bluey vs Jin | 59–90 | 39.60% |
| IPC|Bluey vs Reina | 65–78 | 45.45% |
| IPC|Bluey vs Bryan | 70–70 | 50.00% |
| IPC|Bluey vs Yoshimitsu | 73–61 | 54.48% |
| IPC|Bluey vs Lee | 62–65 | 48.82% |
| IPC|Bluey vs Lili | 70–53 | 56.91% |
| IPC|Bluey vs Lars | 64–58 | 52.46% |
| IPC|Bluey vs Heihachi | 53–53 | 50.00% |
| IPC|Bluey vs Paul | 60–43 | 58.25% |
| IPC|Bluey vs Dragunov | 36–56 | 39.13% |
| IPC|Bluey vs Jun | 38–50 | 43.18% |
| IPC|Bluey vs Xiaoyu | 50–36 | 58.14% |
| IPC|Bluey vs Devil Jin | 33–53 | 38.37% |
| IPC|Bluey vs Leo | 49–35 | 58.33% |
| IPC|Bluey vs Asuka | 40–38 | 51.28% |
| IPC|Bluey vs Azucena | 41–37 | 52.56% |
| IPC|Bluey vs Feng | 49–28 | 63.64% |
| IPC|Bluey vs Raven | 35–41 | 46.05% |
| IPC|Bluey vs Nina | 40–33 | 54.79% |
| IPC|Bluey vs Victor | 29–39 | 42.65% |
| IPC|Bluey vs Alisa | 39–27 | 59.09% |
| IPC|Bluey vs Lidia | 31–33 | 48.44% |
| IPC|Bluey vs Claudio | 35–26 | 57.38% |
| IPC|Bluey vs Anna | 26–34 | 43.33% |
| IPC|Bluey vs Eddy | 30–28 | 51.72% |
| IPC|Bluey vs Armor King | 26–30 | 46.43% |
| IPC|Bluey vs Jack-8 | 17–36 | 32.08% |
| IPC|Bluey vs Clive | 18–33 | 35.29% |
| IPC|Bluey vs Leroy | 28–19 | 59.57% |
| IPC|Bluey vs Fahkumram | 13–23 | 36.11% |
| IPC|Bluey vs Shaheen | 17–17 | 50.00% |
| IPC|Bluey vs Zafina | 17–15 | 53.12% |
| IPC|Bluey vs Kuma | 15–14 | 51.72% |
| IPC|Bluey vs Panda | 14–14 | 50.00% |
| IPC|Bluey 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.