| M4L1K vs King | 51–42 | 54.84% |
| M4L1K vs Dragunov | 22–33 | 40.00% |
| M4L1K vs Kazuya | 25–27 | 48.08% |
| M4L1K vs Jin | 32–19 | 62.75% |
| M4L1K vs Steve | 24–21 | 53.33% |
| M4L1K vs Bryan | 20–20 | 50.00% |
| M4L1K vs Paul | 17–18 | 48.57% |
| M4L1K vs Heihachi | 19–15 | 55.88% |
| M4L1K vs Lars | 17–13 | 56.67% |
| M4L1K vs Devil Jin | 17–12 | 58.62% |
| M4L1K vs Reina | 16–11 | 59.26% |
| M4L1K vs Yoshimitsu | 11–14 | 44.00% |
| M4L1K vs Clive | 16–9 | 64.00% |
| M4L1K vs Nina | 10–14 | 41.67% |
| M4L1K vs Jun | 11–13 | 45.83% |
| M4L1K vs Asuka | 15–8 | 65.22% |
| M4L1K vs Feng | 12–11 | 52.17% |
| M4L1K vs Law | 8–13 | 38.10% |
| M4L1K vs Anna | 11–9 | 55.00% |
| M4L1K vs Eddy | 9–9 | 50.00% |
| M4L1K vs Fahkumram | 10–7 | 58.82% |
| M4L1K vs Hwoarang | 8–8 | 50.00% |
| M4L1K vs Lee | 8–7 | 53.33% |
| M4L1K vs Lili | 7–7 | 50.00% |
| M4L1K vs Alisa | 3–9 | 25.00% |
| M4L1K vs Claudio | 4–8 | 33.33% |
| M4L1K vs Victor | 5–6 | 45.45% |
| M4L1K vs Shaheen | 8–2 | 80.00% |
| M4L1K vs Azucena | 6–3 | 66.67% |
| M4L1K vs Kuma | 4–4 | 50.00% |
| M4L1K vs Xiaoyu | 5–2 | 71.43% |
| M4L1K vs Leroy | 4–1 | 80.00% |
| M4L1K vs Raven | 2–3 | 40.00% |
| M4L1K vs Lidia | 1–4 | 20.00% |
| M4L1K vs Zafina | 2–2 | 50.00% |
| M4L1K vs Jack-8 | 2–1 | 66.67% |
| M4L1K vs Panda | 0–2 | 0.00% |
| M4L1K vs Leo | 1–0 | 100.00% |
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.