| Django vs King | 34–27 | 55.74% |
| Django vs Kazuya | 32–26 | 55.17% |
| Django vs Jin | 21–29 | 42.00% |
| Django vs Armor King | 14–23–1 | 37.84% |
| Django vs Bryan | 20–14 | 58.82% |
| Django vs Steve | 16–15 | 51.61% |
| Django vs Paul | 9–14 | 39.13% |
| Django vs Reina | 10–9 | 52.63% |
| Django vs Eddy | 11–8 | 57.89% |
| Django vs Clive | 10–8 | 55.56% |
| Django vs Jun | 3–14 | 17.65% |
| Django vs Heihachi | 6–11 | 35.29% |
| Django vs Law | 14–1 | 93.33% |
| Django vs Hwoarang | 14–0 | 100.00% |
| Django vs Claudio | 6–8 | 42.86% |
| Django vs Nina | 7–7 | 50.00% |
| Django vs Asuka | 6–7 | 46.15% |
| Django vs Devil Jin | 7–6 | 53.85% |
| Django vs Lee | 3–10 | 23.08% |
| Django vs Yoshimitsu | 6–6 | 50.00% |
| Django vs Lili | 5–7 | 41.67% |
| Django vs Dragunov | 2–10 | 16.67% |
| Django vs Leroy | 8–3 | 72.73% |
| Django vs Victor | 4–7 | 36.36% |
| Django vs Feng | 5–5 | 50.00% |
| Django vs Leo | 5–5 | 50.00% |
| Django vs Raven | 5–4 | 55.56% |
| Django vs Anna | 5–4 | 55.56% |
| Django vs Fahkumram | 7–1 | 87.50% |
| Django vs Xiaoyu | 1–4 | 20.00% |
| Django vs Lars | 2–3 | 40.00% |
| Django vs Alisa | 3–2 | 60.00% |
| Django vs Lidia | 3–2 | 60.00% |
| Django vs Jack-8 | 2–2 | 50.00% |
| Django vs Kuma | 1–2 | 33.33% |
| Django vs Panda | 1–2 | 33.33% |
| Django vs Zafina | 2–1 | 66.67% |
| Django vs Miary Zo | 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.