| Auoharãñ vs Kazuya | 15–3 | 83.33% |
| Auoharãñ vs Yoshimitsu | 10–5 | 66.67% |
| Auoharãñ vs Jin | 14–1 | 93.33% |
| Auoharãñ vs King | 11–2 | 84.62% |
| Auoharãñ vs Steve | 9–1 | 90.00% |
| Auoharãñ vs Bryan | 7–1 | 87.50% |
| Auoharãñ vs Miary Zo | 6–2 | 75.00% |
| Auoharãñ vs Devil Jin | 6–1 | 85.71% |
| Auoharãñ vs Azucena | 6–1 | 85.71% |
| Auoharãñ vs Lidia | 6–1 | 85.71% |
| Auoharãñ vs Hwoarang | 6–0 | 100.00% |
| Auoharãñ vs Heihachi | 5–0 | 100.00% |
| Auoharãñ vs Fahkumram | 5–0 | 100.00% |
| Auoharãñ vs Paul | 2–2 | 50.00% |
| Auoharãñ vs Jack-8 | 4–0 | 100.00% |
| Auoharãñ vs Leo | 2–2 | 50.00% |
| Auoharãñ vs Zafina | 3–1 | 75.00% |
| Auoharãñ vs Law | 3–0 | 100.00% |
| Auoharãñ vs Feng | 2–1 | 66.67% |
| Auoharãñ vs Lili | 3–0 | 100.00% |
| Auoharãñ vs Dragunov | 3–0 | 100.00% |
| Auoharãñ vs Lee | 3–0 | 100.00% |
| Auoharãñ vs Jun | 3–0 | 100.00% |
| Auoharãñ vs Clive | 3–0 | 100.00% |
| Auoharãñ vs Xiaoyu | 1–1 | 50.00% |
| Auoharãñ vs Asuka | 2–0 | 100.00% |
| Auoharãñ vs Shaheen | 2–0 | 100.00% |
| Auoharãñ vs Nina | 2–0 | 100.00% |
| Auoharãñ vs Kuma | 2–0 | 100.00% |
| Auoharãñ vs Leroy | 2–0 | 100.00% |
| Auoharãñ vs Anna | 2–0 | 100.00% |
| Auoharãñ vs Claudio | 1–0 | 100.00% |
| Auoharãñ vs Panda | 1–0 | 100.00% |
| Auoharãñ vs Raven | 1–0 | 100.00% |
| Auoharãñ vs Eddy | 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.