| Deedazz vs Jin | 20–29 | 40.82% |
| Deedazz vs Lidia | 22–27 | 44.90% |
| Deedazz vs Azucena | 20–21 | 48.78% |
| Deedazz vs Kazuya | 12–25 | 32.43% |
| Deedazz vs Reina | 11–23 | 32.35% |
| Deedazz vs Law | 19–14 | 57.58% |
| Deedazz vs King | 13–20 | 39.39% |
| Deedazz vs Hwoarang | 15–18 | 45.45% |
| Deedazz vs Bryan | 14–14 | 50.00% |
| Deedazz vs Lili | 11–17 | 39.29% |
| Deedazz vs Jun | 11–16 | 40.74% |
| Deedazz vs Steve | 15–10 | 60.00% |
| Deedazz vs Dragunov | 8–14 | 36.36% |
| Deedazz vs Lee | 11–11 | 50.00% |
| Deedazz vs Leroy | 11–11 | 50.00% |
| Deedazz vs Asuka | 11–10 | 52.38% |
| Deedazz vs Victor | 5–14 | 26.32% |
| Deedazz vs Yoshimitsu | 9–9 | 50.00% |
| Deedazz vs Nina | 8–10 | 44.44% |
| Deedazz vs Eddy | 6–11 | 35.29% |
| Deedazz vs Jack-8 | 4–8 | 33.33% |
| Deedazz vs Paul | 3–8 | 27.27% |
| Deedazz vs Lars | 7–4 | 63.64% |
| Deedazz vs Heihachi | 4–7 | 36.36% |
| Deedazz vs Devil Jin | 4–5 | 44.44% |
| Deedazz vs Feng | 5–3 | 62.50% |
| Deedazz vs Shaheen | 4–4 | 50.00% |
| Deedazz vs Zafina | 3–5 | 37.50% |
| Deedazz vs Leo | 3–4 | 42.86% |
| Deedazz vs Alisa | 2–5 | 28.57% |
| Deedazz vs Claudio | 1–5 | 16.67% |
| Deedazz vs Raven | 3–3 | 50.00% |
| Deedazz vs Kuma | 2–3 | 40.00% |
| Deedazz vs Xiaoyu | 1–3 | 25.00% |
| Deedazz vs Clive | 2–2 | 50.00% |
| Deedazz vs Panda | 0–3 | 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.