| Firepanda vs King | 72–82 | 46.75% |
| Firepanda vs Jin | 32–51 | 38.55% |
| Firepanda vs Reina | 28–52–1 | 35.00% |
| Firepanda vs Hwoarang | 33–47 | 41.25% |
| Firepanda vs Kazuya | 21–50 | 29.58% |
| Firepanda vs Steve | 32–38 | 45.71% |
| Firepanda vs Bryan | 29–38 | 43.28% |
| Firepanda vs Eddy | 27–34 | 44.26% |
| Firepanda vs Law | 27–32 | 45.76% |
| Firepanda vs Yoshimitsu | 28–27 | 50.91% |
| Firepanda vs Jun | 18–32 | 36.00% |
| Firepanda vs Dragunov | 19–23 | 45.24% |
| Firepanda vs Lili | 13–28 | 31.71% |
| Firepanda vs Asuka | 22–17 | 56.41% |
| Firepanda vs Nina | 11–25 | 30.56% |
| Firepanda vs Azucena | 19–17 | 52.78% |
| Firepanda vs Lars | 14–19 | 42.42% |
| Firepanda vs Leroy | 12–21 | 36.36% |
| Firepanda vs Xiaoyu | 19–12–1 | 61.29% |
| Firepanda vs Paul | 8–23 | 25.81% |
| Firepanda vs Lee | 18–13 | 58.06% |
| Firepanda vs Feng | 12–17 | 41.38% |
| Firepanda vs Heihachi | 11–17 | 39.29% |
| Firepanda vs Victor | 1–19 | 5.00% |
| Firepanda vs Leo | 6–13 | 31.58% |
| Firepanda vs Raven | 8–11 | 42.11% |
| Firepanda vs Devil Jin | 3–15 | 16.67% |
| Firepanda vs Fahkumram | 4–12 | 25.00% |
| Firepanda vs Alisa | 6–9 | 40.00% |
| Firepanda vs Claudio | 4–11 | 26.67% |
| Firepanda vs Lidia | 5–10 | 33.33% |
| Firepanda vs Jack-8 | 5–9 | 35.71% |
| Firepanda vs Anna | 8–6 | 57.14% |
| Firepanda vs Kuma | 2–11 | 15.38% |
| Firepanda vs Shaheen | 4–7 | 36.36% |
| Firepanda vs Panda | 4–4 | 50.00% |
| Firepanda vs Zafina | 4–4 | 50.00% |
| Firepanda vs Clive | 1–1 | 50.00% |
| Firepanda vs Miary Zo | 0–2 | 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.