| A$AP BLOCKit vs Kazuya | 67–63 | 51.54% |
| A$AP BLOCKit vs Jin | 68–45 | 60.18% |
| A$AP BLOCKit vs Hwoarang | 42–54 | 43.75% |
| A$AP BLOCKit vs King | 42–48 | 46.67% |
| A$AP BLOCKit vs Law | 48–38 | 55.81% |
| A$AP BLOCKit vs Heihachi | 29–33 | 46.77% |
| A$AP BLOCKit vs Yoshimitsu | 31–29 | 51.67% |
| A$AP BLOCKit vs Steve | 22–38 | 36.67% |
| A$AP BLOCKit vs Eddy | 23–33 | 41.07% |
| A$AP BLOCKit vs Paul | 24–30 | 44.44% |
| A$AP BLOCKit vs Reina | 28–26 | 51.85% |
| A$AP BLOCKit vs Bryan | 20–30 | 40.00% |
| A$AP BLOCKit vs Lili | 15–31 | 32.61% |
| A$AP BLOCKit vs Asuka | 16–27 | 37.21% |
| A$AP BLOCKit vs Jun | 22–19 | 53.66% |
| A$AP BLOCKit vs Dragunov | 16–23 | 41.03% |
| A$AP BLOCKit vs Nina | 21–17 | 55.26% |
| A$AP BLOCKit vs Lee | 16–21 | 43.24% |
| A$AP BLOCKit vs Xiaoyu | 11–19 | 36.67% |
| A$AP BLOCKit vs Devil Jin | 8–22 | 26.67% |
| A$AP BLOCKit vs Victor | 16–14 | 53.33% |
| A$AP BLOCKit vs Azucena | 10–19 | 34.48% |
| A$AP BLOCKit vs Lidia | 9–20 | 31.03% |
| A$AP BLOCKit vs Feng | 14–14 | 50.00% |
| A$AP BLOCKit vs Alisa | 9–17 | 34.62% |
| A$AP BLOCKit vs Anna | 13–13 | 50.00% |
| A$AP BLOCKit vs Fahkumram | 12–12 | 50.00% |
| A$AP BLOCKit vs Jack-8 | 11–12 | 47.83% |
| A$AP BLOCKit vs Lars | 13–8 | 61.90% |
| A$AP BLOCKit vs Claudio | 13–8 | 61.90% |
| A$AP BLOCKit vs Clive | 4–10 | 28.57% |
| A$AP BLOCKit vs Shaheen | 6–7 | 46.15% |
| A$AP BLOCKit vs Leroy | 5–7 | 41.67% |
| A$AP BLOCKit vs Raven | 3–9 | 25.00% |
| A$AP BLOCKit vs Zafina | 6–1 | 85.71% |
| A$AP BLOCKit vs Leo | 2–4 | 33.33% |
| A$AP BLOCKit vs Kuma | 2–1 | 66.67% |
| A$AP BLOCKit vs Armor King | 0–2 | 0.00% |
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.