| iLuvFeet vs Clive | 22–4 | 84.62% |
| iLuvFeet vs Jin | 20–4 | 83.33% |
| iLuvFeet vs Steve | 19–5 | 79.17% |
| iLuvFeet vs Kazuya | 19–1 | 95.00% |
| iLuvFeet vs Lidia | 16–3 | 84.21% |
| iLuvFeet vs King | 17–1 | 94.44% |
| iLuvFeet vs Victor | 12–4 | 75.00% |
| iLuvFeet vs Hwoarang | 9–6 | 60.00% |
| iLuvFeet vs Law | 11–3 | 78.57% |
| iLuvFeet vs Dragunov | 12–2 | 85.71% |
| iLuvFeet vs Reina | 12–2 | 85.71% |
| iLuvFeet vs Lili | 12–1 | 92.31% |
| iLuvFeet vs Azucena | 12–1 | 92.31% |
| iLuvFeet vs Xiaoyu | 7–5 | 58.33% |
| iLuvFeet vs Heihachi | 7–5 | 58.33% |
| iLuvFeet vs Nina | 9–1 | 90.00% |
| iLuvFeet vs Jun | 9–1 | 90.00% |
| iLuvFeet vs Yoshimitsu | 8–1 | 88.89% |
| iLuvFeet vs Lee | 6–3 | 66.67% |
| iLuvFeet vs Eddy | 7–2 | 77.78% |
| iLuvFeet vs Bryan | 6–2 | 75.00% |
| iLuvFeet vs Alisa | 4–4 | 50.00% |
| iLuvFeet vs Zafina | 6–2 | 75.00% |
| iLuvFeet vs Lars | 7–0 | 100.00% |
| iLuvFeet vs Feng | 4–2 | 66.67% |
| iLuvFeet vs Paul | 4–1 | 80.00% |
| iLuvFeet vs Jack-8 | 4–1 | 80.00% |
| iLuvFeet vs Asuka | 4–1 | 80.00% |
| iLuvFeet vs Devil Jin | 4–1 | 80.00% |
| iLuvFeet vs Leo | 2–3 | 40.00% |
| iLuvFeet vs Shaheen | 3–2 | 60.00% |
| iLuvFeet vs Leroy | 3–2 | 60.00% |
| iLuvFeet vs Raven | 4–1 | 80.00% |
| iLuvFeet vs Panda | 3–0 | 100.00% |
| iLuvFeet vs Kuma | 1–1 | 50.00% |
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.