| Apricot vs Jin | 117–112 | 51.09% |
| Apricot vs Kazuya | 83–106 | 43.92% |
| Apricot vs Bryan | 77–96 | 44.51% |
| Apricot vs King | 68–79 | 46.26% |
| Apricot vs Dragunov | 56–83 | 40.29% |
| Apricot vs Steve | 63–72–1 | 46.67% |
| Apricot vs Heihachi | 48–60 | 44.44% |
| Apricot vs Hwoarang | 33–70 | 32.04% |
| Apricot vs Law | 42–48 | 46.67% |
| Apricot vs Lili | 48–40 | 54.55% |
| Apricot vs Reina | 38–46 | 45.24% |
| Apricot vs Paul | 33–47 | 41.25% |
| Apricot vs Jun | 31–44 | 41.33% |
| Apricot vs Yoshimitsu | 26–43 | 37.68% |
| Apricot vs Fahkumram | 31–37 | 45.59% |
| Apricot vs Victor | 28–31 | 47.46% |
| Apricot vs Devil Jin | 18–40 | 31.03% |
| Apricot vs Lars | 33–25 | 56.90% |
| Apricot vs Lee | 25–31 | 44.64% |
| Apricot vs Claudio | 19–32 | 37.25% |
| Apricot vs Armor King | 16–34 | 32.00% |
| Apricot vs Asuka | 19–24 | 44.19% |
| Apricot vs Azucena | 22–20 | 52.38% |
| Apricot vs Shaheen | 18–23 | 43.90% |
| Apricot vs Eddy | 25–16 | 60.98% |
| Apricot vs Lidia | 18–22 | 45.00% |
| Apricot vs Alisa | 16–21 | 43.24% |
| Apricot vs Clive | 17–19 | 47.22% |
| Apricot vs Leo | 11–24 | 31.43% |
| Apricot vs Nina | 11–21 | 34.38% |
| Apricot vs Leroy | 12–20 | 37.50% |
| Apricot vs Feng | 10–17 | 37.04% |
| Apricot vs Jack-8 | 10–13 | 43.48% |
| Apricot vs Raven | 10–11 | 47.62% |
| Apricot vs Miary Zo | 7–14 | 33.33% |
| Apricot vs Anna | 4–16 | 20.00% |
| Apricot vs Xiaoyu | 3–15 | 16.67% |
| Apricot vs Kuma | 9–6 | 60.00% |
| Apricot vs Zafina | 5–10 | 33.33% |
| Apricot vs Panda | 2–5 | 28.57% |
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.