| MrBurn_Trees vs Law | 7–3 | 70.00% |
| MrBurn_Trees vs King | 6–4 | 60.00% |
| MrBurn_Trees vs Kazuya | 4–6 | 40.00% |
| MrBurn_Trees vs Eddy | 1–8 | 11.11% |
| MrBurn_Trees vs Jin | 4–3 | 57.14% |
| MrBurn_Trees vs Dragunov | 5–2 | 71.43% |
| MrBurn_Trees vs Raven | 2–4 | 33.33% |
| MrBurn_Trees vs Yoshimitsu | 5–0 | 100.00% |
| MrBurn_Trees vs Devil Jin | 2–3 | 40.00% |
| MrBurn_Trees vs Azucena | 5–0 | 100.00% |
| MrBurn_Trees vs Xiaoyu | 4–0 | 100.00% |
| MrBurn_Trees vs Victor | 2–2 | 50.00% |
| MrBurn_Trees vs Armor King | 0–4 | 0.00% |
| MrBurn_Trees vs Alisa | 3–0 | 100.00% |
| MrBurn_Trees vs Lee | 3–0 | 100.00% |
| MrBurn_Trees vs Leroy | 3–0 | 100.00% |
| MrBurn_Trees vs Paul | 0–2 | 0.00% |
| MrBurn_Trees vs Hwoarang | 1–1 | 50.00% |
| MrBurn_Trees vs Bryan | 0–2 | 0.00% |
| MrBurn_Trees vs Steve | 2–0 | 100.00% |
| MrBurn_Trees vs Feng | 2–0 | 100.00% |
| MrBurn_Trees vs Leo | 0–2 | 0.00% |
| MrBurn_Trees vs Lars | 0–2 | 0.00% |
| MrBurn_Trees vs Shaheen | 0–2 | 0.00% |
| MrBurn_Trees vs Kuma | 1–1 | 50.00% |
| MrBurn_Trees vs Jun | 2–0 | 100.00% |
| MrBurn_Trees vs Reina | 1–1 | 50.00% |
| MrBurn_Trees vs Heihachi | 2–0 | 100.00% |
| MrBurn_Trees vs Fahkumram | 2–0 | 100.00% |
| MrBurn_Trees vs Jack-8 | 1–0 | 100.00% |
| MrBurn_Trees vs Lili | 1–0 | 100.00% |
| MrBurn_Trees vs Clive | 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.