| preyyyy vs Kazuya | 195–146 | 57.18% |
| preyyyy vs Bryan | 150–108 | 58.14% |
| preyyyy vs Jin | 144–112 | 56.25% |
| preyyyy vs Dragunov | 152–103 | 59.61% |
| preyyyy vs Heihachi | 115–100 | 53.49% |
| preyyyy vs King | 111–88 | 55.78% |
| preyyyy vs Reina | 133–59 | 69.27% |
| preyyyy vs Clive | 101–76 | 57.06% |
| preyyyy vs Yoshimitsu | 86–59 | 59.31% |
| preyyyy vs Hwoarang | 73–67 | 52.14% |
| preyyyy vs Lidia | 65–69 | 48.51% |
| preyyyy vs Lili | 85–48 | 63.91% |
| preyyyy vs Asuka | 66–63 | 51.16% |
| preyyyy vs Law | 77–40 | 65.81% |
| preyyyy vs Lee | 62–54 | 53.45% |
| preyyyy vs Steve | 66–49 | 57.39% |
| preyyyy vs Victor | 76–38 | 66.67% |
| preyyyy vs Jun | 66–46 | 58.93% |
| preyyyy vs Paul | 49–58 | 45.79% |
| preyyyy vs Claudio | 37–62 | 37.37% |
| preyyyy vs Armor King | 37–48 | 43.53% |
| preyyyy vs Alisa | 31–49 | 38.75% |
| preyyyy vs Devil Jin | 50–28 | 64.10% |
| preyyyy vs Leroy | 37–40 | 48.05% |
| preyyyy vs Azucena | 47–30 | 61.04% |
| preyyyy vs Lars | 45–29–1 | 60.81% |
| preyyyy vs Feng | 44–29 | 60.27% |
| preyyyy vs Xiaoyu | 47–24 | 66.20% |
| preyyyy vs Nina | 28–34 | 45.16% |
| preyyyy vs Shaheen | 30–28 | 51.72% |
| preyyyy vs Jack-8 | 26–23 | 53.06% |
| preyyyy vs Eddy | 29–16 | 64.44% |
| preyyyy vs Kuma | 18–22 | 45.00% |
| preyyyy vs Raven | 20–20 | 50.00% |
| preyyyy vs Leo | 13–23 | 36.11% |
| preyyyy vs Zafina | 12–18 | 40.00% |
| preyyyy vs Miary Zo | 17–12 | 58.62% |
| preyyyy vs Fahkumram | 14–12 | 53.85% |
| preyyyy vs Anna | 11–6 | 64.71% |
| preyyyy vs Panda | 9–2 | 81.82% |
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.