| DustL vs Jin | 37–16 | 69.81% |
| DustL vs Heihachi | 24–17 | 58.54% |
| DustL vs Kazuya | 24–11 | 68.57% |
| DustL vs Bryan | 22–11 | 66.67% |
| DustL vs King | 19–8 | 70.37% |
| DustL vs Steve | 17–10 | 62.96% |
| DustL vs Jun | 15–10 | 60.00% |
| DustL vs Reina | 18–4 | 81.82% |
| DustL vs Azucena | 17–5 | 77.27% |
| DustL vs Hwoarang | 16–4 | 80.00% |
| DustL vs Dragunov | 5–10 | 33.33% |
| DustL vs Victor | 11–4 | 73.33% |
| DustL vs Law | 10–4 | 71.43% |
| DustL vs Asuka | 6–8 | 42.86% |
| DustL vs Eddy | 6–8 | 42.86% |
| DustL vs Xiaoyu | 5–8 | 38.46% |
| DustL vs Lili | 11–2 | 84.62% |
| DustL vs Lee | 9–4 | 69.23% |
| DustL vs Lidia | 9–4 | 69.23% |
| DustL vs Paul | 5–5 | 50.00% |
| DustL vs Devil Jin | 6–4 | 60.00% |
| DustL vs Feng | 5–4 | 55.56% |
| DustL vs Kuma | 2–5 | 28.57% |
| DustL vs Clive | 5–2 | 71.43% |
| DustL vs Yoshimitsu | 2–3 | 40.00% |
| DustL vs Leo | 3–2 | 60.00% |
| DustL vs Alisa | 3–2 | 60.00% |
| DustL vs Claudio | 3–2 | 60.00% |
| DustL vs Nina | 0–5 | 0.00% |
| DustL vs Jack-8 | 2–1 | 66.67% |
| DustL vs Leroy | 2–1 | 66.67% |
| DustL vs Lars | 0–2 | 0.00% |
| DustL vs Zafina | 2–0 | 100.00% |
| DustL vs Raven | 2–0 | 100.00% |
| DustL vs Fahkumram | 2–0 | 100.00% |
| DustL vs Armor King | 2–0 | 100.00% |
| DustL vs Miary Zo | 1–1 | 50.00% |
| DustL vs Panda | 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.