| pcp a77ack vs King | 32–21 | 60.38% |
| pcp a77ack vs Bryan | 22–25 | 46.81% |
| pcp a77ack vs Paul | 19–26 | 42.22% |
| pcp a77ack vs Kazuya | 15–27 | 35.71% |
| pcp a77ack vs Jin | 18–20 | 47.37% |
| pcp a77ack vs Reina | 19–17 | 52.78% |
| pcp a77ack vs Heihachi | 16–15 | 51.61% |
| pcp a77ack vs Law | 16–12 | 57.14% |
| pcp a77ack vs Steve | 11–17 | 39.29% |
| pcp a77ack vs Hwoarang | 11–16 | 40.74% |
| pcp a77ack vs Anna | 17–9 | 65.38% |
| pcp a77ack vs Devil Jin | 8–14 | 36.36% |
| pcp a77ack vs Dragunov | 11–11 | 50.00% |
| pcp a77ack vs Jun | 8–11 | 42.11% |
| pcp a77ack vs Lidia | 9–9 | 50.00% |
| pcp a77ack vs Yoshimitsu | 7–10 | 41.18% |
| pcp a77ack vs Alisa | 7–10 | 41.18% |
| pcp a77ack vs Azucena | 11–6 | 64.71% |
| pcp a77ack vs Asuka | 11–3 | 78.57% |
| pcp a77ack vs Lili | 5–8 | 38.46% |
| pcp a77ack vs Lars | 5–8 | 38.46% |
| pcp a77ack vs Eddy | 7–6 | 53.85% |
| pcp a77ack vs Leo | 6–5 | 54.55% |
| pcp a77ack vs Lee | 5–6 | 45.45% |
| pcp a77ack vs Leroy | 4–5 | 44.44% |
| pcp a77ack vs Shaheen | 4–4 | 50.00% |
| pcp a77ack vs Nina | 5–2 | 71.43% |
| pcp a77ack vs Clive | 2–5 | 28.57% |
| pcp a77ack vs Xiaoyu | 2–4 | 33.33% |
| pcp a77ack vs Jack-8 | 3–3 | 50.00% |
| pcp a77ack vs Feng | 3–2 | 60.00% |
| pcp a77ack vs Victor | 3–2 | 60.00% |
| pcp a77ack vs Claudio | 0–3 | 0.00% |
| pcp a77ack vs Kuma | 1–2 | 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.