| BlueFlame vs Kazuya | 81–81 | 50.00% |
| BlueFlame vs Jin | 79–81 | 49.38% |
| BlueFlame vs King | 70–79 | 46.98% |
| BlueFlame vs Heihachi | 57–65 | 46.72% |
| BlueFlame vs Law | 58–51 | 53.21% |
| BlueFlame vs Bryan | 46–60 | 43.40% |
| BlueFlame vs Reina | 46–57 | 44.66% |
| BlueFlame vs Hwoarang | 46–56 | 45.10% |
| BlueFlame vs Dragunov | 37–48 | 43.53% |
| BlueFlame vs Lili | 39–43 | 47.56% |
| BlueFlame vs Steve | 44–33 | 57.14% |
| BlueFlame vs Paul | 44–32 | 57.89% |
| BlueFlame vs Asuka | 30–38 | 44.12% |
| BlueFlame vs Yoshimitsu | 36–29 | 55.38% |
| BlueFlame vs Devil Jin | 20–38 | 34.48% |
| BlueFlame vs Victor | 30–28 | 51.72% |
| BlueFlame vs Eddy | 25–33 | 43.10% |
| BlueFlame vs Leo | 28–23 | 54.90% |
| BlueFlame vs Azucena | 27–24 | 52.94% |
| BlueFlame vs Lee | 22–18 | 55.00% |
| BlueFlame vs Feng | 11–28 | 28.21% |
| BlueFlame vs Jun | 22–16 | 57.89% |
| BlueFlame vs Anna | 14–24 | 36.84% |
| BlueFlame vs Leroy | 15–21 | 41.67% |
| BlueFlame vs Xiaoyu | 13–22 | 37.14% |
| BlueFlame vs Nina | 14–20 | 41.18% |
| BlueFlame vs Lars | 15–18 | 45.45% |
| BlueFlame vs Alisa | 13–20 | 39.39% |
| BlueFlame vs Lidia | 22–11 | 66.67% |
| BlueFlame vs Claudio | 12–20 | 37.50% |
| BlueFlame vs Armor King | 4–23 | 14.81% |
| BlueFlame vs Kuma | 14–11 | 56.00% |
| BlueFlame vs Jack-8 | 11–13 | 45.83% |
| BlueFlame vs Shaheen | 9–14 | 39.13% |
| BlueFlame vs Raven | 6–14 | 30.00% |
| BlueFlame vs Clive | 15–5 | 75.00% |
| BlueFlame vs Zafina | 7–3 | 70.00% |
| BlueFlame vs Fahkumram | 7–3 | 70.00% |
| BlueFlame vs Panda | 4–1 | 80.00% |
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.