| Destro 5000 vs Bryan | 9–16 | 36.00% |
| Destro 5000 vs Steve | 12–13 | 48.00% |
| Destro 5000 vs King | 7–15 | 31.82% |
| Destro 5000 vs Reina | 9–13 | 40.91% |
| Destro 5000 vs Jin | 5–11 | 31.25% |
| Destro 5000 vs Lee | 8–8 | 50.00% |
| Destro 5000 vs Law | 4–11 | 26.67% |
| Destro 5000 vs Dragunov | 5–10 | 33.33% |
| Destro 5000 vs Paul | 6–5 | 54.55% |
| Destro 5000 vs Hwoarang | 3–8 | 27.27% |
| Destro 5000 vs Yoshimitsu | 7–3 | 70.00% |
| Destro 5000 vs Asuka | 3–7 | 30.00% |
| Destro 5000 vs Azucena | 3–6 | 33.33% |
| Destro 5000 vs Xiaoyu | 2–6 | 25.00% |
| Destro 5000 vs Lidia | 3–5 | 37.50% |
| Destro 5000 vs Lili | 0–7 | 0.00% |
| Destro 5000 vs Eddy | 0–7 | 0.00% |
| Destro 5000 vs Victor | 2–4 | 33.33% |
| Destro 5000 vs Jack-8 | 2–3 | 40.00% |
| Destro 5000 vs Leroy | 2–3 | 40.00% |
| Destro 5000 vs Raven | 1–4 | 20.00% |
| Destro 5000 vs Kazuya | 2–2 | 50.00% |
| Destro 5000 vs Alisa | 2–2 | 50.00% |
| Destro 5000 vs Zafina | 1–3 | 25.00% |
| Destro 5000 vs Jun | 1–3 | 25.00% |
| Destro 5000 vs Shaheen | 0–3 | 0.00% |
| Destro 5000 vs Panda | 1–2 | 33.33% |
| Destro 5000 vs Devil Jin | 1–1 | 50.00% |
| Destro 5000 vs Lars | 0–2 | 0.00% |
| Destro 5000 vs Kuma | 0–2 | 0.00% |
| Destro 5000 vs Feng | 0–1 | 0.00% |
| Destro 5000 vs Leo | 0–1 | 0.00% |
| Destro 5000 vs Claudio | 1–0 | 100.00% |
| Destro 5000 vs Nina | 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.