| DeViLorD vs King | 26–10 | 72.22% |
| DeViLorD vs Kazuya | 13–10 | 56.52% |
| DeViLorD vs Jin | 12–8 | 60.00% |
| DeViLorD vs Dragunov | 14–5 | 73.68% |
| DeViLorD vs Reina | 10–6 | 62.50% |
| DeViLorD vs Hwoarang | 7–8 | 46.67% |
| DeViLorD vs Lili | 10–5 | 66.67% |
| DeViLorD vs Yoshimitsu | 5–9 | 35.71% |
| DeViLorD vs Bryan | 10–2 | 83.33% |
| DeViLorD vs Steve | 8–4 | 66.67% |
| DeViLorD vs Paul | 9–2 | 81.82% |
| DeViLorD vs Lars | 6–5 | 54.55% |
| DeViLorD vs Feng | 6–4 | 60.00% |
| DeViLorD vs Law | 6–2 | 75.00% |
| DeViLorD vs Jack-8 | 7–1 | 87.50% |
| DeViLorD vs Asuka | 7–1 | 87.50% |
| DeViLorD vs Leo | 7–1 | 87.50% |
| DeViLorD vs Lee | 6–2 | 75.00% |
| DeViLorD vs Jun | 5–3 | 62.50% |
| DeViLorD vs Victor | 4–4 | 50.00% |
| DeViLorD vs Eddy | 6–2 | 75.00% |
| DeViLorD vs Devil Jin | 1–6 | 14.29% |
| DeViLorD vs Alisa | 1–6 | 14.29% |
| DeViLorD vs Claudio | 4–3 | 57.14% |
| DeViLorD vs Azucena | 5–2 | 71.43% |
| DeViLorD vs Leroy | 4–1 | 80.00% |
| DeViLorD vs Raven | 5–0 | 100.00% |
| DeViLorD vs Nina | 4–0 | 100.00% |
| DeViLorD vs Zafina | 3–1 | 75.00% |
| DeViLorD vs Heihachi | 2–2 | 50.00% |
| DeViLorD vs Shaheen | 1–2 | 33.33% |
| DeViLorD vs Kuma | 0–3 | 0.00% |
| DeViLorD vs Lidia | 1–2 | 33.33% |
| DeViLorD vs Xiaoyu | 1–1 | 50.00% |
| DeViLorD vs Fahkumram | 2–0 | 100.00% |
| DeViLorD vs Clive | 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.