| PandaForPandas vs Eddy | 7–28 | 20.00% |
| PandaForPandas vs Reina | 17–3 | 85.00% |
| PandaForPandas vs King | 4–9 | 30.77% |
| PandaForPandas vs Law | 9–3 | 75.00% |
| PandaForPandas vs Steve | 6–6 | 50.00% |
| PandaForPandas vs Jun | 4–7 | 36.36% |
| PandaForPandas vs Hwoarang | 7–3 | 70.00% |
| PandaForPandas vs Jin | 2–8 | 20.00% |
| PandaForPandas vs Alisa | 6–4 | 60.00% |
| PandaForPandas vs Xiaoyu | 5–4 | 55.56% |
| PandaForPandas vs Feng | 7–2 | 77.78% |
| PandaForPandas vs Azucena | 5–4 | 55.56% |
| PandaForPandas vs Bryan | 3–4 | 42.86% |
| PandaForPandas vs Kazuya | 3–4 | 42.86% |
| PandaForPandas vs Lee | 3–4 | 42.86% |
| PandaForPandas vs Yoshimitsu | 3–2 | 60.00% |
| PandaForPandas vs Asuka | 3–2 | 60.00% |
| PandaForPandas vs Lili | 3–2 | 60.00% |
| PandaForPandas vs Leo | 4–1 | 80.00% |
| PandaForPandas vs Shaheen | 1–4 | 20.00% |
| PandaForPandas vs Nina | 0–4 | 0.00% |
| PandaForPandas vs Leroy | 3–1 | 75.00% |
| PandaForPandas vs Devil Jin | 1–2 | 33.33% |
| PandaForPandas vs Jack-8 | 0–2 | 0.00% |
| PandaForPandas vs Claudio | 2–0 | 100.00% |
| PandaForPandas vs Kuma | 2–0 | 100.00% |
| PandaForPandas vs Raven | 1–1 | 50.00% |
| PandaForPandas vs Paul | 0–2 | 0.00% |
| PandaForPandas vs Lars | 1–1 | 50.00% |
| PandaForPandas vs Victor | 0–2 | 0.00% |
| PandaForPandas vs Panda | 1–0 | 100.00% |
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.