| AuT0BaNdiT vs Armor King | 92–90 | 50.55% |
| AuT0BaNdiT vs Jin | 38–40 | 48.72% |
| AuT0BaNdiT vs Law | 43–33 | 56.58% |
| AuT0BaNdiT vs King | 41–29 | 58.57% |
| AuT0BaNdiT vs Kazuya | 41–24 | 63.08% |
| AuT0BaNdiT vs Heihachi | 26–26 | 50.00% |
| AuT0BaNdiT vs Steve | 22–25 | 46.81% |
| AuT0BaNdiT vs Jun | 33–13 | 71.74% |
| AuT0BaNdiT vs Hwoarang | 25–19 | 56.82% |
| AuT0BaNdiT vs Azucena | 22–21 | 51.16% |
| AuT0BaNdiT vs Asuka | 21–21 | 50.00% |
| AuT0BaNdiT vs Bryan | 27–13 | 67.50% |
| AuT0BaNdiT vs Eddy | 15–25 | 37.50% |
| AuT0BaNdiT vs Fahkumram | 14–21 | 40.00% |
| AuT0BaNdiT vs Lili | 18–16 | 52.94% |
| AuT0BaNdiT vs Dragunov | 12–21 | 36.36% |
| AuT0BaNdiT vs Lars | 15–18 | 45.45% |
| AuT0BaNdiT vs Xiaoyu | 15–15 | 50.00% |
| AuT0BaNdiT vs Paul | 16–12 | 57.14% |
| AuT0BaNdiT vs Yoshimitsu | 8–20 | 28.57% |
| AuT0BaNdiT vs Devil Jin | 11–17 | 39.29% |
| AuT0BaNdiT vs Lidia | 11–15 | 42.31% |
| AuT0BaNdiT vs Anna | 16–10 | 61.54% |
| AuT0BaNdiT vs Reina | 7–17 | 29.17% |
| AuT0BaNdiT vs Victor | 12–12 | 50.00% |
| AuT0BaNdiT vs Lee | 8–12 | 40.00% |
| AuT0BaNdiT vs Jack-8 | 9–8 | 52.94% |
| AuT0BaNdiT vs Leo | 10–7 | 58.82% |
| AuT0BaNdiT vs Nina | 7–8 | 46.67% |
| AuT0BaNdiT vs Zafina | 7–8 | 46.67% |
| AuT0BaNdiT vs Raven | 8–5 | 61.54% |
| AuT0BaNdiT vs Leroy | 7–4 | 63.64% |
| AuT0BaNdiT vs Feng | 5–4 | 55.56% |
| AuT0BaNdiT vs Alisa | 3–6 | 33.33% |
| AuT0BaNdiT vs Claudio | 5–3 | 62.50% |
| AuT0BaNdiT vs Kuma | 2–5 | 28.57% |
| AuT0BaNdiT vs Clive | 1–4 | 20.00% |
| AuT0BaNdiT vs Miary Zo | 3–1 | 75.00% |
| AuT0BaNdiT vs Shaheen | 0–2 | 0.00% |
| AuT0BaNdiT vs Panda | 2–0 | 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.