| PREDATORPREYS vs Kazuya | 58–46 | 55.77% |
| PREDATORPREYS vs Jin | 55–43 | 56.12% |
| PREDATORPREYS vs King | 54–41 | 56.84% |
| PREDATORPREYS vs Reina | 40–42 | 48.78% |
| PREDATORPREYS vs Heihachi | 50–25 | 66.67% |
| PREDATORPREYS vs Hwoarang | 32–35 | 47.76% |
| PREDATORPREYS vs Lili | 32–26 | 55.17% |
| PREDATORPREYS vs Bryan | 25–32 | 43.86% |
| PREDATORPREYS vs Azucena | 34–23 | 59.65% |
| PREDATORPREYS vs Jun | 26–25 | 50.98% |
| PREDATORPREYS vs Law | 26–22 | 54.17% |
| PREDATORPREYS vs Yoshimitsu | 27–20 | 57.45% |
| PREDATORPREYS vs Steve | 26–19 | 57.78% |
| PREDATORPREYS vs Paul | 15–28 | 34.88% |
| PREDATORPREYS vs Dragunov | 26–17 | 60.47% |
| PREDATORPREYS vs Lee | 13–28 | 31.71% |
| PREDATORPREYS vs Lars | 20–17 | 54.05% |
| PREDATORPREYS vs Eddy | 12–25 | 32.43% |
| PREDATORPREYS vs Victor | 23–11 | 67.65% |
| PREDATORPREYS vs Asuka | 18–15 | 54.55% |
| PREDATORPREYS vs Feng | 14–13 | 51.85% |
| PREDATORPREYS vs Claudio | 14–10 | 58.33% |
| PREDATORPREYS vs Xiaoyu | 13–10 | 56.52% |
| PREDATORPREYS vs Devil Jin | 10–12 | 45.45% |
| PREDATORPREYS vs Nina | 11–10 | 52.38% |
| PREDATORPREYS vs Leo | 13–7 | 65.00% |
| PREDATORPREYS vs Alisa | 6–14 | 30.00% |
| PREDATORPREYS vs Fahkumram | 11–9 | 55.00% |
| PREDATORPREYS vs Lidia | 9–10 | 47.37% |
| PREDATORPREYS vs Kuma | 9–8 | 52.94% |
| PREDATORPREYS vs Leroy | 3–13 | 18.75% |
| PREDATORPREYS vs Zafina | 6–9 | 40.00% |
| PREDATORPREYS vs Shaheen | 2–9 | 18.18% |
| PREDATORPREYS vs Jack-8 | 7–3 | 70.00% |
| PREDATORPREYS vs Raven | 6–4 | 60.00% |
| PREDATORPREYS vs Clive | 6–3 | 66.67% |
| PREDATORPREYS vs Panda | 2–2 | 50.00% |
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.