| Bullet_MLT vs King | 25–25 | 50.00% |
| Bullet_MLT vs Kazuya | 31–14 | 68.89% |
| Bullet_MLT vs Reina | 25–19 | 56.82% |
| Bullet_MLT vs Hwoarang | 19–19 | 50.00% |
| Bullet_MLT vs Lili | 16–22 | 42.11% |
| Bullet_MLT vs Jin | 21–14 | 60.00% |
| Bullet_MLT vs Bryan | 18–17 | 51.43% |
| Bullet_MLT vs Law | 19–10 | 65.52% |
| Bullet_MLT vs Feng | 10–18 | 35.71% |
| Bullet_MLT vs Azucena | 11–17 | 39.29% |
| Bullet_MLT vs Eddy | 11–17 | 39.29% |
| Bullet_MLT vs Devil Jin | 15–10 | 60.00% |
| Bullet_MLT vs Yoshimitsu | 8–14 | 36.36% |
| Bullet_MLT vs Asuka | 14–8 | 63.64% |
| Bullet_MLT vs Steve | 14–4 | 77.78% |
| Bullet_MLT vs Leroy | 5–13 | 27.78% |
| Bullet_MLT vs Lee | 12–5 | 70.59% |
| Bullet_MLT vs Paul | 10–6 | 62.50% |
| Bullet_MLT vs Xiaoyu | 8–8 | 50.00% |
| Bullet_MLT vs Alisa | 3–12 | 20.00% |
| Bullet_MLT vs Lars | 5–8 | 38.46% |
| Bullet_MLT vs Nina | 9–3 | 75.00% |
| Bullet_MLT vs Victor | 4–4 | 50.00% |
| Bullet_MLT vs Jack-8 | 1–6 | 14.29% |
| Bullet_MLT vs Leo | 3–3 | 50.00% |
| Bullet_MLT vs Zafina | 3–3 | 50.00% |
| Bullet_MLT vs Raven | 4–2 | 66.67% |
| Bullet_MLT vs Shaheen | 2–3 | 40.00% |
| Bullet_MLT vs Kuma | 3–2 | 60.00% |
| Bullet_MLT vs Panda | 2–2 | 50.00% |
| Bullet_MLT vs Claudio | 2–1 | 66.67% |
| Bullet_MLT vs Jun | 3–0 | 100.00% |
| Bullet_MLT vs Dragunov | 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.