| PandaXprss vs Steve | 15–12 | 55.56% |
| PandaXprss vs Law | 9–6 | 60.00% |
| PandaXprss vs Devil Jin | 7–8 | 46.67% |
| PandaXprss vs King | 5–8 | 38.46% |
| PandaXprss vs Yoshimitsu | 4–9 | 30.77% |
| PandaXprss vs Hwoarang | 2–11 | 15.38% |
| PandaXprss vs Paul | 3–9 | 25.00% |
| PandaXprss vs Miary Zo | 4–8 | 33.33% |
| PandaXprss vs Victor | 5–6 | 45.45% |
| PandaXprss vs Eddy | 3–7 | 30.00% |
| PandaXprss vs Jin | 4–5 | 44.44% |
| PandaXprss vs Lili | 5–4 | 55.56% |
| PandaXprss vs Clive | 5–3 | 62.50% |
| PandaXprss vs Bryan | 2–5 | 28.57% |
| PandaXprss vs Asuka | 1–5 | 16.67% |
| PandaXprss vs Nina | 1–5 | 16.67% |
| PandaXprss vs Anna | 5–1 | 83.33% |
| PandaXprss vs Kazuya | 0–5 | 0.00% |
| PandaXprss vs Fahkumram | 1–4 | 20.00% |
| PandaXprss vs Jack-8 | 1–3 | 25.00% |
| PandaXprss vs Lars | 0–4 | 0.00% |
| PandaXprss vs Lee | 0–4 | 0.00% |
| PandaXprss vs Azucena | 0–4 | 0.00% |
| PandaXprss vs Feng | 0–3 | 0.00% |
| PandaXprss vs Alisa | 1–2 | 33.33% |
| PandaXprss vs Leroy | 2–1 | 66.67% |
| PandaXprss vs Reina | 1–2 | 33.33% |
| PandaXprss vs Dragunov | 0–2 | 0.00% |
| PandaXprss vs Jun | 0–2 | 0.00% |
| PandaXprss vs Raven | 0–2 | 0.00% |
| PandaXprss vs Heihachi | 0–2 | 0.00% |
| PandaXprss vs Xiaoyu | 0–1 | 0.00% |
| PandaXprss vs Leo | 1–0 | 100.00% |
| PandaXprss vs Kuma | 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.