| D_Nash vs Dragunov | 25–52 | 32.47% |
| D_Nash vs King | 27–44 | 38.03% |
| D_Nash vs Kazuya | 32–32 | 50.00% |
| D_Nash vs Steve | 30–29 | 50.85% |
| D_Nash vs Lidia | 20–39 | 33.90% |
| D_Nash vs Jin | 23–30 | 43.40% |
| D_Nash vs Reina | 16–37 | 30.19% |
| D_Nash vs Law | 20–32 | 38.46% |
| D_Nash vs Lili | 29–23 | 55.77% |
| D_Nash vs Heihachi | 24–28 | 46.15% |
| D_Nash vs Jun | 22–29 | 43.14% |
| D_Nash vs Bryan | 19–30 | 38.78% |
| D_Nash vs Hwoarang | 16–31 | 34.04% |
| D_Nash vs Paul | 21–25 | 45.65% |
| D_Nash vs Asuka | 26–13 | 66.67% |
| D_Nash vs Xiaoyu | 20–17 | 54.05% |
| D_Nash vs Lars | 16–19 | 45.71% |
| D_Nash vs Victor | 10–25 | 28.57% |
| D_Nash vs Alisa | 12–21 | 36.36% |
| D_Nash vs Azucena | 18–12 | 60.00% |
| D_Nash vs Yoshimitsu | 11–18 | 37.93% |
| D_Nash vs Eddy | 8–17 | 32.00% |
| D_Nash vs Feng | 9–13 | 40.91% |
| D_Nash vs Lee | 11–9 | 55.00% |
| D_Nash vs Devil Jin | 8–10 | 44.44% |
| D_Nash vs Leroy | 6–10 | 37.50% |
| D_Nash vs Leo | 5–9 | 35.71% |
| D_Nash vs Nina | 13–1 | 92.86% |
| D_Nash vs Kuma | 9–4 | 69.23% |
| D_Nash vs Shaheen | 8–4 | 66.67% |
| D_Nash vs Raven | 1–9 | 10.00% |
| D_Nash vs Clive | 1–8 | 11.11% |
| D_Nash vs Claudio | 2–6 | 25.00% |
| D_Nash vs Zafina | 2–6 | 25.00% |
| D_Nash vs Panda | 2–5 | 28.57% |
| D_Nash vs Jack-8 | 1–5 | 16.67% |
| D_Nash vs Miary Zo | 2–1 | 66.67% |
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.