| DW_Nasty vs King | 95–81 | 53.98% |
| DW_Nasty vs Jin | 69–69 | 50.00% |
| DW_Nasty vs Bryan | 59–65 | 47.58% |
| DW_Nasty vs Kazuya | 63–56 | 52.94% |
| DW_Nasty vs Hwoarang | 54–60 | 47.37% |
| DW_Nasty vs Reina | 52–53 | 49.52% |
| DW_Nasty vs Law | 51–53 | 49.04% |
| DW_Nasty vs Steve | 50–51 | 49.50% |
| DW_Nasty vs Yoshimitsu | 44–40 | 52.38% |
| DW_Nasty vs Paul | 48–30 | 61.54% |
| DW_Nasty vs Dragunov | 29–42 | 40.85% |
| DW_Nasty vs Lars | 38–30 | 55.88% |
| DW_Nasty vs Azucena | 36–27 | 57.14% |
| DW_Nasty vs Lili | 27–30 | 47.37% |
| DW_Nasty vs Lee | 26–30 | 46.43% |
| DW_Nasty vs Xiaoyu | 35–19 | 64.81% |
| DW_Nasty vs Asuka | 23–29 | 44.23% |
| DW_Nasty vs Jun | 16–34 | 32.00% |
| DW_Nasty vs Leo | 26–20 | 56.52% |
| DW_Nasty vs Kuma | 16–29 | 35.56% |
| DW_Nasty vs Leroy | 14–26 | 35.00% |
| DW_Nasty vs Feng | 18–21 | 46.15% |
| DW_Nasty vs Jack-8 | 18–18 | 50.00% |
| DW_Nasty vs Nina | 20–16 | 55.56% |
| DW_Nasty vs Victor | 20–15 | 57.14% |
| DW_Nasty vs Alisa | 16–18 | 47.06% |
| DW_Nasty vs Devil Jin | 10–20 | 33.33% |
| DW_Nasty vs Eddy | 16–13 | 55.17% |
| DW_Nasty vs Zafina | 9–14 | 39.13% |
| DW_Nasty vs Raven | 11–12 | 47.83% |
| DW_Nasty vs Shaheen | 6–10 | 37.50% |
| DW_Nasty vs Claudio | 3–6 | 33.33% |
| DW_Nasty vs Panda | 5–4 | 55.56% |
| DW_Nasty vs Lidia | 3–2 | 60.00% |
| DW_Nasty vs Armor King | 3–1 | 75.00% |
| DW_Nasty vs Miary Zo | 2–2 | 50.00% |
| DW_Nasty vs Heihachi | 2–0 | 100.00% |
| DW_Nasty vs Clive | 1–1 | 50.00% |
| DW_Nasty vs Anna | 0–1 | 0.00% |
| DW_Nasty vs Fahkumram | 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.