| Burn_1_Down vs Jin | 15–20 | 42.86% |
| Burn_1_Down vs Eddy | 11–19 | 36.67% |
| Burn_1_Down vs Steve | 10–19 | 34.48% |
| Burn_1_Down vs Reina | 16–7 | 69.57% |
| Burn_1_Down vs King | 7–13 | 35.00% |
| Burn_1_Down vs Hwoarang | 5–12–1 | 29.41% |
| Burn_1_Down vs Lili | 13–5 | 72.22% |
| Burn_1_Down vs Kazuya | 5–9 | 35.71% |
| Burn_1_Down vs Asuka | 5–9 | 35.71% |
| Burn_1_Down vs Law | 6–6 | 50.00% |
| Burn_1_Down vs Lars | 5–7 | 41.67% |
| Burn_1_Down vs Yoshimitsu | 6–5 | 54.55% |
| Burn_1_Down vs Paul | 2–8 | 20.00% |
| Burn_1_Down vs Nina | 7–3 | 70.00% |
| Burn_1_Down vs Leroy | 6–3 | 66.67% |
| Burn_1_Down vs Bryan | 4–4 | 50.00% |
| Burn_1_Down vs Victor | 2–6 | 25.00% |
| Burn_1_Down vs Xiaoyu | 4–3 | 57.14% |
| Burn_1_Down vs Jack-8 | 4–3 | 57.14% |
| Burn_1_Down vs Jun | 4–3 | 57.14% |
| Burn_1_Down vs Zafina | 3–3 | 50.00% |
| Burn_1_Down vs Dragunov | 3–2 | 60.00% |
| Burn_1_Down vs Alisa | 2–3 | 40.00% |
| Burn_1_Down vs Lee | 0–5 | 0.00% |
| Burn_1_Down vs Panda | 1–2 | 33.33% |
| Burn_1_Down vs Azucena | 2–1 | 66.67% |
| Burn_1_Down vs Leo | 1–1 | 50.00% |
| Burn_1_Down vs Claudio | 0–2 | 0.00% |
| Burn_1_Down vs Shaheen | 2–0 | 100.00% |
| Burn_1_Down vs Raven | 1–1 | 50.00% |
| Burn_1_Down vs Devil Jin | 0–1 | 0.00% |
| Burn_1_Down vs Feng | 0–1 | 0.00% |
| Burn_1_Down vs Kuma | 0–1 | 0.00% |
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.