| D3VILM4N420 vs King | 11–6 | 64.71% |
| D3VILM4N420 vs Reina | 8–3 | 72.73% |
| D3VILM4N420 vs Eddy | 4–6 | 40.00% |
| D3VILM4N420 vs Jin | 3–6 | 33.33% |
| D3VILM4N420 vs Steve | 7–2 | 77.78% |
| D3VILM4N420 vs Clive | 5–3 | 62.50% |
| D3VILM4N420 vs Azucena | 4–3 | 57.14% |
| D3VILM4N420 vs Hwoarang | 2–4 | 33.33% |
| D3VILM4N420 vs Leroy | 0–5 | 0.00% |
| D3VILM4N420 vs Jun | 3–2 | 60.00% |
| D3VILM4N420 vs Yoshimitsu | 3–1 | 75.00% |
| D3VILM4N420 vs Jack-8 | 1–3 | 25.00% |
| D3VILM4N420 vs Feng | 0–4 | 0.00% |
| D3VILM4N420 vs Victor | 3–1 | 75.00% |
| D3VILM4N420 vs Bryan | 3–0 | 100.00% |
| D3VILM4N420 vs Kazuya | 2–1 | 66.67% |
| D3VILM4N420 vs Asuka | 1–2 | 33.33% |
| D3VILM4N420 vs Lili | 1–2 | 33.33% |
| D3VILM4N420 vs Dragunov | 2–1 | 66.67% |
| D3VILM4N420 vs Leo | 3–0 | 100.00% |
| D3VILM4N420 vs Lars | 2–1 | 66.67% |
| D3VILM4N420 vs Heihachi | 3–0 | 100.00% |
| D3VILM4N420 vs Paul | 0–2 | 0.00% |
| D3VILM4N420 vs Xiaoyu | 2–0 | 100.00% |
| D3VILM4N420 vs Alisa | 2–0 | 100.00% |
| D3VILM4N420 vs Kuma | 2–0 | 100.00% |
| D3VILM4N420 vs Raven | 1–1 | 50.00% |
| D3VILM4N420 vs Lidia | 2–0 | 100.00% |
| D3VILM4N420 vs Law | 1–0 | 100.00% |
| D3VILM4N420 vs Devil Jin | 0–1 | 0.00% |
| D3VILM4N420 vs Nina | 0–1 | 0.00% |
| D3VILM4N420 vs Lee | 1–0 | 100.00% |
| D3VILM4N420 vs Panda | 1–0 | 100.00% |
| D3VILM4N420 vs Anna | 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.