| df2_bad vs Kazuya | 148–128 | 53.62% |
| df2_bad vs Jin | 128–129 | 49.81% |
| df2_bad vs King | 127–125 | 50.40% |
| df2_bad vs Bryan | 113–137 | 45.20% |
| df2_bad vs Dragunov | 85–105 | 44.74% |
| df2_bad vs Steve | 86–93 | 48.04% |
| df2_bad vs Heihachi | 81–89 | 47.65% |
| df2_bad vs Reina | 61–56 | 52.14% |
| df2_bad vs Law | 52–58 | 47.27% |
| df2_bad vs Devil Jin | 57–53 | 51.82% |
| df2_bad vs Hwoarang | 46–59 | 43.81% |
| df2_bad vs Yoshimitsu | 34–59 | 36.56% |
| df2_bad vs Paul | 38–53 | 41.76% |
| df2_bad vs Lee | 31–35 | 46.97% |
| df2_bad vs Nina | 30–33 | 47.62% |
| df2_bad vs Clive | 34–27 | 55.74% |
| df2_bad vs Armor King | 30–26 | 53.57% |
| df2_bad vs Azucena | 17–31 | 35.42% |
| df2_bad vs Victor | 19–29 | 39.58% |
| df2_bad vs Lars | 19–27 | 41.30% |
| df2_bad vs Claudio | 23–22 | 51.11% |
| df2_bad vs Fahkumram | 17–28 | 37.78% |
| df2_bad vs Lili | 21–20 | 51.22% |
| df2_bad vs Jun | 17–23 | 42.50% |
| df2_bad vs Asuka | 24–15 | 61.54% |
| df2_bad vs Alisa | 15–23 | 39.47% |
| df2_bad vs Kuma | 21–13 | 61.76% |
| df2_bad vs Eddy | 12–18 | 40.00% |
| df2_bad vs Leroy | 9–20 | 31.03% |
| df2_bad vs Lidia | 13–16 | 44.83% |
| df2_bad vs Feng | 12–12 | 50.00% |
| df2_bad vs Anna | 12–12 | 50.00% |
| df2_bad vs Xiaoyu | 7–9 | 43.75% |
| df2_bad vs Shaheen | 3–12 | 20.00% |
| df2_bad vs Zafina | 5–9 | 35.71% |
| df2_bad vs Jack-8 | 6–7 | 46.15% |
| df2_bad vs Leo | 5–6 | 45.45% |
| df2_bad vs Raven | 2–8 | 20.00% |
| df2_bad vs Miary Zo | 5–3 | 62.50% |
| df2_bad vs Panda | 2–3 | 40.00% |
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.