| aimforthefeet vs Dragunov | 31–39 | 44.29% |
| aimforthefeet vs Reina | 29–35 | 45.31% |
| aimforthefeet vs King | 31–29 | 51.67% |
| aimforthefeet vs Yoshimitsu | 26–26 | 50.00% |
| aimforthefeet vs Kazuya | 35–15 | 70.00% |
| aimforthefeet vs Bryan | 33–14 | 70.21% |
| aimforthefeet vs Steve | 30–13 | 69.77% |
| aimforthefeet vs Nina | 24–19 | 55.81% |
| aimforthefeet vs Lee | 24–19 | 55.81% |
| aimforthefeet vs Jin | 27–14 | 65.85% |
| aimforthefeet vs Paul | 24–15 | 61.54% |
| aimforthefeet vs Law | 18–19 | 48.65% |
| aimforthefeet vs Xiaoyu | 16–17 | 48.48% |
| aimforthefeet vs Hwoarang | 13–19 | 40.62% |
| aimforthefeet vs Jun | 16–16 | 50.00% |
| aimforthefeet vs Claudio | 14–17 | 45.16% |
| aimforthefeet vs Lidia | 12–19 | 38.71% |
| aimforthefeet vs Feng | 13–17 | 43.33% |
| aimforthefeet vs Asuka | 13–15 | 46.43% |
| aimforthefeet vs Raven | 11–14 | 44.00% |
| aimforthefeet vs Azucena | 12–11 | 52.17% |
| aimforthefeet vs Jack-8 | 14–8 | 63.64% |
| aimforthefeet vs Lili | 15–6 | 71.43% |
| aimforthefeet vs Alisa | 9–12 | 42.86% |
| aimforthefeet vs Lars | 9–11 | 45.00% |
| aimforthefeet vs Kuma | 15–4 | 78.95% |
| aimforthefeet vs Devil Jin | 12–6 | 66.67% |
| aimforthefeet vs Victor | 10–7 | 58.82% |
| aimforthefeet vs Eddy | 6–11 | 35.29% |
| aimforthefeet vs Zafina | 8–7 | 53.33% |
| aimforthefeet vs Leo | 9–4 | 69.23% |
| aimforthefeet vs Panda | 5–7 | 41.67% |
| aimforthefeet vs Leroy | 5–7 | 41.67% |
| aimforthefeet vs Fahkumram | 7–2 | 77.78% |
| aimforthefeet vs Heihachi | 4–3 | 57.14% |
| aimforthefeet vs Armor King | 4–3 | 57.14% |
| aimforthefeet vs Shaheen | 1–2 | 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.