| Burger vs Jin | 26–14 | 65.00% |
| Burger vs Bryan | 19–14 | 57.58% |
| Burger vs Hwoarang | 22–10 | 68.75% |
| Burger vs King | 20–9 | 68.97% |
| Burger vs Kazuya | 20–9 | 68.97% |
| Burger vs Dragunov | 17–10 | 62.96% |
| Burger vs Steve | 9–15 | 37.50% |
| Burger vs Reina | 19–5 | 79.17% |
| Burger vs Victor | 14–10 | 58.33% |
| Burger vs Xiaoyu | 15–8 | 65.22% |
| Burger vs Paul | 13–5 | 72.22% |
| Burger vs Feng | 11–7 | 61.11% |
| Burger vs Lars | 12–6 | 66.67% |
| Burger vs Devil Jin | 7–10 | 41.18% |
| Burger vs Jun | 11–6 | 64.71% |
| Burger vs Lili | 11–5 | 68.75% |
| Burger vs Nina | 10–6 | 62.50% |
| Burger vs Claudio | 6–9 | 40.00% |
| Burger vs Azucena | 10–5 | 66.67% |
| Burger vs Eddy | 9–6 | 60.00% |
| Burger vs Alisa | 8–6 | 57.14% |
| Burger vs Lee | 9–5 | 64.29% |
| Burger vs Law | 9–4 | 69.23% |
| Burger vs Leroy | 8–5 | 61.54% |
| Burger vs Heihachi | 6–7 | 46.15% |
| Burger vs Fahkumram | 6–6 | 50.00% |
| Burger vs Yoshimitsu | 7–4 | 63.64% |
| Burger vs Anna | 9–2 | 81.82% |
| Burger vs Jack-8 | 3–7 | 30.00% |
| Burger vs Lidia | 6–3 | 66.67% |
| Burger vs Shaheen | 8–0 | 100.00% |
| Burger vs Kuma | 3–5 | 37.50% |
| Burger vs Zafina | 3–4 | 42.86% |
| Burger vs Raven | 3–4 | 42.86% |
| Burger vs Asuka | 4–1 | 80.00% |
| Burger vs Leo | 1–4 | 20.00% |
| Burger vs Clive | 2–1 | 66.67% |
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.