| abfsfdtg vs Kazuya | 54–57 | 48.65% |
| abfsfdtg vs Dragunov | 38–66 | 36.54% |
| abfsfdtg vs Reina | 43–43 | 50.00% |
| abfsfdtg vs Heihachi | 34–45 | 43.04% |
| abfsfdtg vs King | 38–37 | 50.67% |
| abfsfdtg vs Jin | 34–36 | 48.57% |
| abfsfdtg vs Paul | 24–44 | 35.29% |
| abfsfdtg vs Asuka | 35–31 | 53.03% |
| abfsfdtg vs Bryan | 25–40 | 38.46% |
| abfsfdtg vs Clive | 27–30 | 47.37% |
| abfsfdtg vs Steve | 29–27 | 51.79% |
| abfsfdtg vs Lili | 18–35 | 33.96% |
| abfsfdtg vs Lidia | 22–29 | 43.14% |
| abfsfdtg vs Victor | 19–29 | 39.58% |
| abfsfdtg vs Hwoarang | 15–27 | 35.71% |
| abfsfdtg vs Jun | 23–15 | 60.53% |
| abfsfdtg vs Law | 18–19 | 48.65% |
| abfsfdtg vs Yoshimitsu | 9–28 | 24.32% |
| abfsfdtg vs Fahkumram | 18–18 | 50.00% |
| abfsfdtg vs Azucena | 14–20 | 41.18% |
| abfsfdtg vs Claudio | 12–21 | 36.36% |
| abfsfdtg vs Nina | 6–26 | 18.75% |
| abfsfdtg vs Eddy | 14–16 | 46.67% |
| abfsfdtg vs Xiaoyu | 8–21 | 27.59% |
| abfsfdtg vs Lars | 4–25 | 13.79% |
| abfsfdtg vs Devil Jin | 8–19 | 29.63% |
| abfsfdtg vs Alisa | 14–13 | 51.85% |
| abfsfdtg vs Leo | 3–16 | 15.79% |
| abfsfdtg vs Feng | 4–12 | 25.00% |
| abfsfdtg vs Anna | 6–10 | 37.50% |
| abfsfdtg vs Kuma | 6–9 | 40.00% |
| abfsfdtg vs Lee | 6–8 | 42.86% |
| abfsfdtg vs Leroy | 5–6 | 45.45% |
| abfsfdtg vs Panda | 3–5 | 37.50% |
| abfsfdtg vs Raven | 1–6 | 14.29% |
| abfsfdtg vs Armor King | 4–3 | 57.14% |
| abfsfdtg vs Jack-8 | 2–4 | 33.33% |
| abfsfdtg vs Shaheen | 3–3 | 50.00% |
| abfsfdtg vs Zafina | 4–2 | 66.67% |
| abfsfdtg vs Miary Zo | 2–4 | 33.33% |
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.