| evil dog vs King | 33–18 | 64.71% |
| evil dog vs Dragunov | 27–20 | 57.45% |
| evil dog vs Jin | 28–14 | 66.67% |
| evil dog vs Paul | 29–11 | 72.50% |
| evil dog vs Asuka | 23–12 | 65.71% |
| evil dog vs Kazuya | 24–7 | 77.42% |
| evil dog vs Lili | 21–10 | 67.74% |
| evil dog vs Reina | 25–6 | 80.65% |
| evil dog vs Bryan | 16–11 | 59.26% |
| evil dog vs Steve | 21–5 | 80.77% |
| evil dog vs Hwoarang | 12–13 | 48.00% |
| evil dog vs Yoshimitsu | 15–9 | 62.50% |
| evil dog vs Alisa | 15–6 | 71.43% |
| evil dog vs Leroy | 11–10 | 52.38% |
| evil dog vs Jun | 16–5 | 76.19% |
| evil dog vs Azucena | 13–7 | 65.00% |
| evil dog vs Lars | 12–6 | 66.67% |
| evil dog vs Devil Jin | 8–8 | 50.00% |
| evil dog vs Feng | 6–10 | 37.50% |
| evil dog vs Heihachi | 11–3 | 78.57% |
| evil dog vs Law | 7–6 | 53.85% |
| evil dog vs Xiaoyu | 6–7 | 46.15% |
| evil dog vs Victor | 7–6 | 53.85% |
| evil dog vs Eddy | 6–6 | 50.00% |
| evil dog vs Jack-8 | 6–4 | 60.00% |
| evil dog vs Claudio | 8–2 | 80.00% |
| evil dog vs Shaheen | 4–6 | 40.00% |
| evil dog vs Kuma | 7–1 | 87.50% |
| evil dog vs Nina | 4–3 | 57.14% |
| evil dog vs Lee | 3–4 | 42.86% |
| evil dog vs Panda | 4–3 | 57.14% |
| evil dog vs Zafina | 4–1 | 80.00% |
| evil dog vs Leo | 0–3 | 0.00% |
| evil dog vs Raven | 1–2 | 33.33% |
| evil dog vs Lidia | 2–1 | 66.67% |
| evil dog vs Clive | 1–2 | 33.33% |
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.