| Dima Legky vs Hwoarang | 36–56 | 39.13% |
| Dima Legky vs King | 25–45 | 35.71% |
| Dima Legky vs Jin | 24–42 | 36.36% |
| Dima Legky vs Kazuya | 25–29 | 46.30% |
| Dima Legky vs Law | 12–34 | 26.09% |
| Dima Legky vs Dragunov | 23–19 | 54.76% |
| Dima Legky vs Steve | 10–30 | 25.00% |
| Dima Legky vs Jun | 14–25 | 35.90% |
| Dima Legky vs Reina | 17–22 | 43.59% |
| Dima Legky vs Lili | 18–19 | 48.65% |
| Dima Legky vs Eddy | 12–22 | 35.29% |
| Dima Legky vs Alisa | 5–28 | 15.15% |
| Dima Legky vs Yoshimitsu | 20–12 | 62.50% |
| Dima Legky vs Heihachi | 9–23 | 28.12% |
| Dima Legky vs Asuka | 11–20 | 35.48% |
| Dima Legky vs Fahkumram | 18–13 | 58.06% |
| Dima Legky vs Victor | 6–21 | 22.22% |
| Dima Legky vs Devil Jin | 4–20 | 16.67% |
| Dima Legky vs Bryan | 13–9 | 59.09% |
| Dima Legky vs Azucena | 9–12 | 42.86% |
| Dima Legky vs Nina | 8–12 | 40.00% |
| Dima Legky vs Clive | 4–16 | 20.00% |
| Dima Legky vs Paul | 7–12 | 36.84% |
| Dima Legky vs Lidia | 7–11 | 38.89% |
| Dima Legky vs Lee | 10–5 | 66.67% |
| Dima Legky vs Leroy | 5–10 | 33.33% |
| Dima Legky vs Xiaoyu | 10–4 | 71.43% |
| Dima Legky vs Leo | 5–9 | 35.71% |
| Dima Legky vs Feng | 2–11 | 15.38% |
| Dima Legky vs Raven | 3–8 | 27.27% |
| Dima Legky vs Lars | 7–3 | 70.00% |
| Dima Legky vs Claudio | 5–4 | 55.56% |
| Dima Legky vs Jack-8 | 0–7 | 0.00% |
| Dima Legky vs Shaheen | 1–4 | 20.00% |
| Dima Legky vs Panda | 2–3 | 40.00% |
| Dima Legky vs Zafina | 3–0 | 100.00% |
| Dima Legky vs Anna | 1–2 | 33.33% |
| Dima Legky vs Kuma | 1–1 | 50.00% |
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.