| Bluejayk1ng vs Heihachi | 100–60 | 62.50% |
| Bluejayk1ng vs Bryan | 84–49 | 63.16% |
| Bluejayk1ng vs Kazuya | 72–48 | 60.00% |
| Bluejayk1ng vs Reina | 75–26 | 74.26% |
| Bluejayk1ng vs Jin | 45–47 | 48.91% |
| Bluejayk1ng vs King | 52–34 | 60.47% |
| Bluejayk1ng vs Steve | 43–28 | 60.56% |
| Bluejayk1ng vs Lili | 38–32 | 54.29% |
| Bluejayk1ng vs Hwoarang | 39–29 | 57.35% |
| Bluejayk1ng vs Law | 34–26 | 56.67% |
| Bluejayk1ng vs Paul | 34–24 | 58.62% |
| Bluejayk1ng vs Lee | 35–21 | 62.50% |
| Bluejayk1ng vs Victor | 33–21 | 61.11% |
| Bluejayk1ng vs Eddy | 40–13 | 75.47% |
| Bluejayk1ng vs Dragunov | 30–21 | 58.82% |
| Bluejayk1ng vs Asuka | 26–24 | 52.00% |
| Bluejayk1ng vs Devil Jin | 22–23 | 48.89% |
| Bluejayk1ng vs Nina | 27–18 | 60.00% |
| Bluejayk1ng vs Jun | 24–21 | 53.33% |
| Bluejayk1ng vs Lars | 20–23 | 46.51% |
| Bluejayk1ng vs Yoshimitsu | 25–13 | 65.79% |
| Bluejayk1ng vs Zafina | 13–23 | 36.11% |
| Bluejayk1ng vs Azucena | 23–13 | 63.89% |
| Bluejayk1ng vs Leo | 21–14 | 60.00% |
| Bluejayk1ng vs Raven | 17–17 | 50.00% |
| Bluejayk1ng vs Jack-8 | 18–9 | 66.67% |
| Bluejayk1ng vs Claudio | 14–13 | 51.85% |
| Bluejayk1ng vs Feng | 13–13 | 50.00% |
| Bluejayk1ng vs Leroy | 11–13 | 45.83% |
| Bluejayk1ng vs Xiaoyu | 12–10 | 54.55% |
| Bluejayk1ng vs Alisa | 7–13 | 35.00% |
| Bluejayk1ng vs Shaheen | 9–8 | 52.94% |
| Bluejayk1ng vs Lidia | 5–11 | 31.25% |
| Bluejayk1ng vs Kuma | 11–3 | 78.57% |
| Bluejayk1ng vs Panda | 6–4 | 60.00% |
| Bluejayk1ng vs Clive | 3–4 | 42.86% |
| Bluejayk1ng vs Anna | 1–0 | 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.