| BadNghw vs Jin | 196–220 | 47.12% |
| BadNghw vs Kazuya | 164–147 | 52.73% |
| BadNghw vs King | 154–141 | 52.20% |
| BadNghw vs Bryan | 125–134 | 48.26% |
| BadNghw vs Dragunov | 122–134 | 47.66% |
| BadNghw vs Hwoarang | 123–125 | 49.60% |
| BadNghw vs Lili | 120–119 | 50.21% |
| BadNghw vs Law | 107–116 | 47.98% |
| BadNghw vs Steve | 117–102–1 | 53.42% |
| BadNghw vs Yoshimitsu | 110–99 | 52.63% |
| BadNghw vs Reina | 101–96 | 51.27% |
| BadNghw vs Heihachi | 95–94 | 50.26% |
| BadNghw vs Lars | 103–82 | 55.68% |
| BadNghw vs Devil Jin | 81–77 | 51.27% |
| BadNghw vs Xiaoyu | 72–61 | 54.14% |
| BadNghw vs Anna | 62–70 | 46.97% |
| BadNghw vs Paul | 52–78 | 40.00% |
| BadNghw vs Lee | 68–62 | 52.31% |
| BadNghw vs Asuka | 51–77 | 39.84% |
| BadNghw vs Clive | 45–72 | 38.46% |
| BadNghw vs Nina | 45–70 | 39.13% |
| BadNghw vs Victor | 47–68 | 40.87% |
| BadNghw vs Lidia | 51–61 | 45.54% |
| BadNghw vs Armor King | 50–62 | 44.64% |
| BadNghw vs Feng | 59–52 | 53.15% |
| BadNghw vs Jun | 37–74 | 33.33% |
| BadNghw vs Azucena | 48–54 | 47.06% |
| BadNghw vs Leo | 42–58 | 42.00% |
| BadNghw vs Fahkumram | 55–41 | 57.29% |
| BadNghw vs Alisa | 47–41 | 53.41% |
| BadNghw vs Leroy | 44–43 | 50.57% |
| BadNghw vs Shaheen | 38–33 | 53.52% |
| BadNghw vs Claudio | 25–40 | 38.46% |
| BadNghw vs Eddy | 26–39 | 40.00% |
| BadNghw vs Raven | 27–34 | 44.26% |
| BadNghw vs Jack-8 | 22–35 | 38.60% |
| BadNghw vs Zafina | 24–25 | 48.98% |
| BadNghw vs Kuma | 16–30 | 34.78% |
| BadNghw vs Miary Zo | 9–3 | 75.00% |
| BadNghw vs Panda | 1–7 | 12.50% |
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.