| Devil_A vs Armor King | 21–33 | 38.89% |
| Devil_A vs Jin | 13–33 | 28.26% |
| Devil_A vs Hwoarang | 22–17 | 56.41% |
| Devil_A vs Lili | 16–23 | 41.03% |
| Devil_A vs King | 10–28 | 26.32% |
| Devil_A vs Law | 10–20 | 33.33% |
| Devil_A vs Reina | 15–15 | 50.00% |
| Devil_A vs Steve | 14–12 | 53.85% |
| Devil_A vs Yoshimitsu | 8–10 | 44.44% |
| Devil_A vs Bryan | 6–12 | 33.33% |
| Devil_A vs Kazuya | 6–12 | 33.33% |
| Devil_A vs Claudio | 8–10 | 44.44% |
| Devil_A vs Jun | 5–13 | 27.78% |
| Devil_A vs Clive | 7–11 | 38.89% |
| Devil_A vs Xiaoyu | 11–6 | 64.71% |
| Devil_A vs Lars | 4–13 | 23.53% |
| Devil_A vs Azucena | 5–12 | 29.41% |
| Devil_A vs Victor | 3–14 | 17.65% |
| Devil_A vs Eddy | 5–12 | 29.41% |
| Devil_A vs Lidia | 3–14 | 17.65% |
| Devil_A vs Nina | 4–12 | 25.00% |
| Devil_A vs Fahkumram | 7–9 | 43.75% |
| Devil_A vs Paul | 4–9 | 30.77% |
| Devil_A vs Asuka | 3–9 | 25.00% |
| Devil_A vs Dragunov | 0–11 | 0.00% |
| Devil_A vs Lee | 4–7 | 36.36% |
| Devil_A vs Anna | 1–10 | 9.09% |
| Devil_A vs Jack-8 | 3–7 | 30.00% |
| Devil_A vs Leroy | 3–6 | 33.33% |
| Devil_A vs Heihachi | 4–5 | 44.44% |
| Devil_A vs Devil Jin | 2–3 | 40.00% |
| Devil_A vs Alisa | 0–5 | 0.00% |
| Devil_A vs Kuma | 0–4 | 0.00% |
| Devil_A vs Feng | 2–1 | 66.67% |
| Devil_A vs Zafina | 0–3 | 0.00% |
| Devil_A vs Panda | 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.