| teachmetheways vs Heihachi | 44–57 | 43.56% |
| teachmetheways vs Kazuya | 36–58 | 38.30% |
| teachmetheways vs King | 40–38 | 51.28% |
| teachmetheways vs Reina | 39–33 | 54.17% |
| teachmetheways vs Jin | 30–37 | 44.78% |
| teachmetheways vs Eddy | 16–43 | 27.12% |
| teachmetheways vs Steve | 29–25 | 53.70% |
| teachmetheways vs Lili | 20–29 | 40.82% |
| teachmetheways vs Law | 21–22 | 48.84% |
| teachmetheways vs Bryan | 18–25 | 41.86% |
| teachmetheways vs Hwoarang | 19–23 | 45.24% |
| teachmetheways vs Dragunov | 23–19 | 54.76% |
| teachmetheways vs Azucena | 18–22 | 45.00% |
| teachmetheways vs Yoshimitsu | 21–18 | 53.85% |
| teachmetheways vs Victor | 18–21 | 46.15% |
| teachmetheways vs Paul | 22–14 | 61.11% |
| teachmetheways vs Lidia | 18–17 | 51.43% |
| teachmetheways vs Asuka | 19–15 | 55.88% |
| teachmetheways vs Alisa | 9–21 | 30.00% |
| teachmetheways vs Jun | 18–8 | 69.23% |
| teachmetheways vs Lee | 10–13 | 43.48% |
| teachmetheways vs Devil Jin | 9–10 | 47.37% |
| teachmetheways vs Leo | 11–8 | 57.89% |
| teachmetheways vs Nina | 7–11 | 38.89% |
| teachmetheways vs Zafina | 5–12 | 29.41% |
| teachmetheways vs Lars | 6–10 | 37.50% |
| teachmetheways vs Jack-8 | 7–8 | 46.67% |
| teachmetheways vs Xiaoyu | 5–7 | 41.67% |
| teachmetheways vs Claudio | 4–8 | 33.33% |
| teachmetheways vs Feng | 5–6 | 45.45% |
| teachmetheways vs Leroy | 8–3 | 72.73% |
| teachmetheways vs Shaheen | 3–7 | 30.00% |
| teachmetheways vs Raven | 4–5–1 | 44.44% |
| teachmetheways vs Kuma | 4–5 | 44.44% |
| teachmetheways vs Panda | 2–4 | 33.33% |
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.