| PandaRoseToy vs Armor King | 15–23 | 39.47% |
| PandaRoseToy vs Kazuya | 15–16 | 48.39% |
| PandaRoseToy vs Jin | 13–13 | 50.00% |
| PandaRoseToy vs Steve | 17–9 | 65.38% |
| PandaRoseToy vs Azucena | 13–11 | 54.17% |
| PandaRoseToy vs Reina | 9–10 | 47.37% |
| PandaRoseToy vs King | 9–8 | 52.94% |
| PandaRoseToy vs Law | 10–6 | 62.50% |
| PandaRoseToy vs Yoshimitsu | 12–4 | 75.00% |
| PandaRoseToy vs Hwoarang | 9–7 | 56.25% |
| PandaRoseToy vs Raven | 13–3 | 81.25% |
| PandaRoseToy vs Bryan | 6–9 | 40.00% |
| PandaRoseToy vs Miary Zo | 7–8 | 46.67% |
| PandaRoseToy vs Heihachi | 6–7 | 46.15% |
| PandaRoseToy vs Paul | 7–5 | 58.33% |
| PandaRoseToy vs Leo | 4–8 | 33.33% |
| PandaRoseToy vs Fahkumram | 6–6 | 50.00% |
| PandaRoseToy vs Lili | 5–6 | 45.45% |
| PandaRoseToy vs Dragunov | 2–9 | 18.18% |
| PandaRoseToy vs Lidia | 8–3 | 72.73% |
| PandaRoseToy vs Asuka | 6–4 | 60.00% |
| PandaRoseToy vs Lars | 3–7 | 30.00% |
| PandaRoseToy vs Anna | 8–1 | 88.89% |
| PandaRoseToy vs Xiaoyu | 6–2 | 75.00% |
| PandaRoseToy vs Devil Jin | 5–3 | 62.50% |
| PandaRoseToy vs Nina | 5–2 | 71.43% |
| PandaRoseToy vs Lee | 6–1 | 85.71% |
| PandaRoseToy vs Zafina | 4–3 | 57.14% |
| PandaRoseToy vs Leroy | 4–3 | 57.14% |
| PandaRoseToy vs Eddy | 6–1 | 85.71% |
| PandaRoseToy vs Feng | 2–4 | 33.33% |
| PandaRoseToy vs Alisa | 5–1 | 83.33% |
| PandaRoseToy vs Claudio | 2–3 | 40.00% |
| PandaRoseToy vs Shaheen | 3–2 | 60.00% |
| PandaRoseToy vs Jun | 1–4 | 20.00% |
| PandaRoseToy vs Victor | 2–3 | 40.00% |
| PandaRoseToy vs Kuma | 2–2 | 50.00% |
| PandaRoseToy vs Clive | 3–1 | 75.00% |
| PandaRoseToy vs Jack-8 | 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.