| prokyonlotor vs Kazuya | 65–61 | 51.59% |
| prokyonlotor vs Jin | 48–57 | 45.71% |
| prokyonlotor vs King | 36–56 | 39.13% |
| prokyonlotor vs Reina | 45–43 | 51.14% |
| prokyonlotor vs Law | 28–43 | 39.44% |
| prokyonlotor vs Steve | 27–41 | 39.71% |
| prokyonlotor vs Bryan | 35–32 | 52.24% |
| prokyonlotor vs Yoshimitsu | 32–32 | 50.00% |
| prokyonlotor vs Dragunov | 21–37 | 36.21% |
| prokyonlotor vs Hwoarang | 20–36 | 35.71% |
| prokyonlotor vs Jun | 25–27 | 48.08% |
| prokyonlotor vs Eddy | 19–29 | 39.58% |
| prokyonlotor vs Paul | 21–23 | 47.73% |
| prokyonlotor vs Heihachi | 16–25 | 39.02% |
| prokyonlotor vs Devil Jin | 15–24 | 38.46% |
| prokyonlotor vs Victor | 20–19 | 51.28% |
| prokyonlotor vs Lars | 18–16 | 52.94% |
| prokyonlotor vs Lidia | 20–14 | 58.82% |
| prokyonlotor vs Lili | 12–21 | 36.36% |
| prokyonlotor vs Lee | 12–19 | 38.71% |
| prokyonlotor vs Xiaoyu | 13–16 | 44.83% |
| prokyonlotor vs Nina | 14–14 | 50.00% |
| prokyonlotor vs Feng | 19–8 | 70.37% |
| prokyonlotor vs Asuka | 14–11 | 56.00% |
| prokyonlotor vs Alisa | 9–14 | 39.13% |
| prokyonlotor vs Azucena | 6–16 | 27.27% |
| prokyonlotor vs Shaheen | 9–7 | 56.25% |
| prokyonlotor vs Kuma | 6–10 | 37.50% |
| prokyonlotor vs Clive | 8–8 | 50.00% |
| prokyonlotor vs Leroy | 7–8 | 46.67% |
| prokyonlotor vs Raven | 9–6 | 60.00% |
| prokyonlotor vs Jack-8 | 9–5 | 64.29% |
| prokyonlotor vs Armor King | 4–9 | 30.77% |
| prokyonlotor vs Claudio | 4–6 | 40.00% |
| prokyonlotor vs Fahkumram | 5–4 | 55.56% |
| prokyonlotor vs Panda | 2–5 | 28.57% |
| prokyonlotor vs Miary Zo | 5–2 | 71.43% |
| prokyonlotor vs Leo | 2–4 | 33.33% |
| prokyonlotor vs Zafina | 1–5 | 16.67% |
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.