| A2LPRA22 vs King | 36–34 | 51.43% |
| A2LPRA22 vs Hwoarang | 26–41 | 38.81% |
| A2LPRA22 vs Reina | 24–35 | 40.68% |
| A2LPRA22 vs Steve | 25–32 | 43.86% |
| A2LPRA22 vs Law | 21–35 | 37.50% |
| A2LPRA22 vs Jin | 23–31 | 42.59% |
| A2LPRA22 vs Kazuya | 17–32 | 34.69% |
| A2LPRA22 vs Lidia | 19–26 | 42.22% |
| A2LPRA22 vs Dragunov | 19–23 | 45.24% |
| A2LPRA22 vs Bryan | 21–20 | 51.22% |
| A2LPRA22 vs Armor King | 18–23 | 43.90% |
| A2LPRA22 vs Yoshimitsu | 17–23 | 42.50% |
| A2LPRA22 vs Lili | 19–20 | 48.72% |
| A2LPRA22 vs Azucena | 14–25 | 35.90% |
| A2LPRA22 vs Jun | 13–21 | 38.24% |
| A2LPRA22 vs Victor | 9–22 | 29.03% |
| A2LPRA22 vs Eddy | 7–21 | 25.00% |
| A2LPRA22 vs Nina | 10–17 | 37.04% |
| A2LPRA22 vs Lars | 8–18 | 30.77% |
| A2LPRA22 vs Asuka | 11–12 | 47.83% |
| A2LPRA22 vs Alisa | 9–14 | 39.13% |
| A2LPRA22 vs Heihachi | 6–17 | 26.09% |
| A2LPRA22 vs Leroy | 8–14 | 36.36% |
| A2LPRA22 vs Clive | 3–18 | 14.29% |
| A2LPRA22 vs Paul | 9–10 | 47.37% |
| A2LPRA22 vs Claudio | 5–14 | 26.32% |
| A2LPRA22 vs Devil Jin | 4–14 | 22.22% |
| A2LPRA22 vs Lee | 7–11 | 38.89% |
| A2LPRA22 vs Feng | 8–9 | 47.06% |
| A2LPRA22 vs Raven | 2–13 | 13.33% |
| A2LPRA22 vs Xiaoyu | 6–8 | 42.86% |
| A2LPRA22 vs Shaheen | 6–7 | 46.15% |
| A2LPRA22 vs Zafina | 3–10 | 23.08% |
| A2LPRA22 vs Anna | 7–5 | 58.33% |
| A2LPRA22 vs Jack-8 | 4–6 | 40.00% |
| A2LPRA22 vs Kuma | 3–7 | 30.00% |
| A2LPRA22 vs Fahkumram | 4–5 | 44.44% |
| A2LPRA22 vs Leo | 0–3 | 0.00% |
| A2LPRA22 vs Miary Zo | 2–0 | 100.00% |
| A2LPRA22 vs Panda | 0–1 | 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.