| lIIIllIIlllIIlI vs Lili | 8–6 | 57.14% |
| lIIIllIIlllIIlI vs Law | 8–4 | 66.67% |
| lIIIllIIlllIIlI vs Devil Jin | 6–5 | 54.55% |
| lIIIllIIlllIIlI vs Eddy | 6–4 | 60.00% |
| lIIIllIIlllIIlI vs Kazuya | 6–2 | 75.00% |
| lIIIllIIlllIIlI vs Reina | 3–5 | 37.50% |
| lIIIllIIlllIIlI vs Lidia | 5–3 | 62.50% |
| lIIIllIIlllIIlI vs Paul | 3–4 | 42.86% |
| lIIIllIIlllIIlI vs Lars | 4–3 | 57.14% |
| lIIIllIIlllIIlI vs Hwoarang | 4–2 | 66.67% |
| lIIIllIIlllIIlI vs King | 3–2 | 60.00% |
| lIIIllIIlllIIlI vs Alisa | 2–3 | 40.00% |
| lIIIllIIlllIIlI vs Leroy | 1–4 | 20.00% |
| lIIIllIIlllIIlI vs Heihachi | 3–2 | 60.00% |
| lIIIllIIlllIIlI vs Jin | 3–1 | 75.00% |
| lIIIllIIlllIIlI vs Dragunov | 1–3 | 25.00% |
| lIIIllIIlllIIlI vs Victor | 3–1 | 75.00% |
| lIIIllIIlllIIlI vs Bryan | 2–1 | 66.67% |
| lIIIllIIlllIIlI vs Jack-8 | 0–3 | 0.00% |
| lIIIllIIlllIIlI vs Jun | 3–0 | 100.00% |
| lIIIllIIlllIIlI vs Azucena | 1–2 | 33.33% |
| lIIIllIIlllIIlI vs Xiaoyu | 1–1 | 50.00% |
| lIIIllIIlllIIlI vs Steve | 2–0 | 100.00% |
| lIIIllIIlllIIlI vs Feng | 2–0 | 100.00% |
| lIIIllIIlllIIlI vs Nina | 2–0 | 100.00% |
| lIIIllIIlllIIlI vs Raven | 1–1 | 50.00% |
| lIIIllIIlllIIlI vs Clive | 2–0 | 100.00% |
| lIIIllIIlllIIlI vs Yoshimitsu | 0–1 | 0.00% |
| lIIIllIIlllIIlI vs Claudio | 1–0 | 100.00% |
| lIIIllIIlllIIlI vs Panda | 1–0 | 100.00% |
| lIIIllIIlllIIlI vs Zafina | 0–1 | 0.00% |
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.