| dips vs King | 95–74 | 56.21% |
| dips vs Kazuya | 90–70 | 56.25% |
| dips vs Jin | 87–61 | 58.78% |
| dips vs Bryan | 70–71 | 49.65% |
| dips vs Lili | 64–61 | 51.20% |
| dips vs Dragunov | 65–52 | 55.56% |
| dips vs Hwoarang | 57–56 | 50.44% |
| dips vs Steve | 56–44 | 56.00% |
| dips vs Yoshimitsu | 40–42 | 48.78% |
| dips vs Paul | 57–22 | 72.15% |
| dips vs Heihachi | 32–42 | 43.24% |
| dips vs Reina | 28–43 | 39.44% |
| dips vs Victor | 40–29 | 57.97% |
| dips vs Lars | 37–30 | 55.22% |
| dips vs Feng | 35–31 | 53.03% |
| dips vs Lee | 28–34 | 45.16% |
| dips vs Devil Jin | 29–27 | 51.79% |
| dips vs Law | 31–22 | 58.49% |
| dips vs Jun | 26–27 | 49.06% |
| dips vs Claudio | 27–23 | 54.00% |
| dips vs Jack-8 | 24–25 | 48.98% |
| dips vs Azucena | 26–23 | 53.06% |
| dips vs Asuka | 20–25 | 44.44% |
| dips vs Alisa | 21–23 | 47.73% |
| dips vs Leo | 20–23 | 46.51% |
| dips vs Eddy | 18–21 | 46.15% |
| dips vs Shaheen | 17–17 | 50.00% |
| dips vs Clive | 18–13 | 58.06% |
| dips vs Anna | 12–17 | 41.38% |
| dips vs Kuma | 9–18 | 33.33% |
| dips vs Nina | 11–13 | 45.83% |
| dips vs Raven | 2–20 | 9.09% |
| dips vs Leroy | 7–14 | 33.33% |
| dips vs Fahkumram | 15–6 | 71.43% |
| dips vs Xiaoyu | 7–13 | 35.00% |
| dips vs Lidia | 9–8 | 52.94% |
| dips vs Armor King | 4–11 | 26.67% |
| dips vs Zafina | 2–11 | 15.38% |
| dips vs Panda | 5–2 | 71.43% |
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.