| iMaKiLu vs King | 151–73 | 67.41% |
| iMaKiLu vs Kazuya | 102–108 | 48.57% |
| iMaKiLu vs Jin | 101–93 | 52.06% |
| iMaKiLu vs Bryan | 90–91 | 49.72% |
| iMaKiLu vs Law | 110–54 | 67.07% |
| iMaKiLu vs Steve | 95–67 | 58.64% |
| iMaKiLu vs Reina | 58–84 | 40.85% |
| iMaKiLu vs Dragunov | 47–77 | 37.90% |
| iMaKiLu vs Yoshimitsu | 53–52–2 | 50.48% |
| iMaKiLu vs Hwoarang | 50–55 | 47.62% |
| iMaKiLu vs Lee | 42–61 | 40.78% |
| iMaKiLu vs Paul | 58–42 | 58.00% |
| iMaKiLu vs Eddy | 50–48 | 51.02% |
| iMaKiLu vs Armor King | 54–43 | 55.67% |
| iMaKiLu vs Lili | 42–53 | 44.21% |
| iMaKiLu vs Lars | 52–37 | 58.43% |
| iMaKiLu vs Azucena | 36–51 | 41.38% |
| iMaKiLu vs Jun | 40–43 | 48.19% |
| iMaKiLu vs Asuka | 39–43 | 47.56% |
| iMaKiLu vs Fahkumram | 38–43 | 46.91% |
| iMaKiLu vs Feng | 37–39 | 48.68% |
| iMaKiLu vs Devil Jin | 40–32 | 55.56% |
| iMaKiLu vs Xiaoyu | 40–29 | 57.97% |
| iMaKiLu vs Victor | 35–31 | 53.03% |
| iMaKiLu vs Heihachi | 34–24 | 58.62% |
| iMaKiLu vs Leo | 26–30 | 46.43% |
| iMaKiLu vs Raven | 29–24 | 54.72% |
| iMaKiLu vs Nina | 27–25 | 51.92% |
| iMaKiLu vs Alisa | 31–19 | 62.00% |
| iMaKiLu vs Lidia | 20–29 | 40.82% |
| iMaKiLu vs Clive | 14–24 | 36.84% |
| iMaKiLu vs Leroy | 20–17 | 54.05% |
| iMaKiLu vs Kuma | 19–17 | 52.78% |
| iMaKiLu vs Miary Zo | 17–18 | 48.57% |
| iMaKiLu vs Claudio | 14–16 | 46.67% |
| iMaKiLu vs Jack-8 | 11–17 | 39.29% |
| iMaKiLu vs Zafina | 11–17 | 39.29% |
| iMaKiLu vs Shaheen | 13–12 | 52.00% |
| iMaKiLu vs Anna | 10–12 | 45.45% |
| iMaKiLu vs Panda | 1–3 | 25.00% |
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.