| Canpy vs Hwoarang | 27–15 | 64.29% |
| Canpy vs Paul | 22–9 | 70.97% |
| Canpy vs Reina | 16–11 | 59.26% |
| Canpy vs Bryan | 21–4 | 84.00% |
| Canpy vs Steve | 18–5 | 78.26% |
| Canpy vs Asuka | 13–9 | 59.09% |
| Canpy vs Dragunov | 18–4 | 81.82% |
| Canpy vs Miary Zo | 13–8 | 61.90% |
| Canpy vs Lee | 9–11 | 45.00% |
| Canpy vs Lars | 9–10 | 47.37% |
| Canpy vs Lidia | 11–7 | 61.11% |
| Canpy vs Kazuya | 16–1 | 94.12% |
| Canpy vs Feng | 8–9 | 47.06% |
| Canpy vs Victor | 12–4 | 75.00% |
| Canpy vs Leo | 10–5 | 66.67% |
| Canpy vs Jack-8 | 4–10 | 28.57% |
| Canpy vs Nina | 7–7 | 50.00% |
| Canpy vs Eddy | 9–4 | 69.23% |
| Canpy vs Jin | 7–5 | 58.33% |
| Canpy vs Lili | 7–5 | 58.33% |
| Canpy vs Jun | 7–5 | 58.33% |
| Canpy vs Law | 8–3 | 72.73% |
| Canpy vs Alisa | 9–2 | 81.82% |
| Canpy vs Claudio | 6–5 | 54.55% |
| Canpy vs Armor King | 4–6 | 40.00% |
| Canpy vs King | 5–3 | 62.50% |
| Canpy vs Devil Jin | 6–2 | 75.00% |
| Canpy vs Azucena | 7–1 | 87.50% |
| Canpy vs Raven | 2–6 | 25.00% |
| Canpy vs Heihachi | 6–1 | 85.71% |
| Canpy vs Xiaoyu | 3–2 | 60.00% |
| Canpy vs Shaheen | 3–2 | 60.00% |
| Canpy vs Kuma | 2–2 | 50.00% |
| Canpy vs Zafina | 3–1 | 75.00% |
| Canpy vs Leroy | 4–0 | 100.00% |
| Canpy vs Anna | 1–2 | 33.33% |
| Canpy vs Yoshimitsu | 2–0 | 100.00% |
| Canpy vs Fahkumram | 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.