| Gill Panda vs Reina | 42–31 | 57.53% |
| Gill Panda vs King | 32–32 | 50.00% |
| Gill Panda vs Kazuya | 27–31 | 46.55% |
| Gill Panda vs Lidia | 33–24 | 57.89% |
| Gill Panda vs Dragunov | 24–32 | 42.86% |
| Gill Panda vs Hwoarang | 21–32 | 39.62% |
| Gill Panda vs Lili | 20–28 | 41.67% |
| Gill Panda vs Jin | 24–23 | 51.06% |
| Gill Panda vs Bryan | 23–22 | 51.11% |
| Gill Panda vs Law | 16–26 | 38.10% |
| Gill Panda vs Steve | 20–21 | 48.78% |
| Gill Panda vs Eddy | 14–26 | 35.00% |
| Gill Panda vs Yoshimitsu | 16–19 | 45.71% |
| Gill Panda vs Jun | 6–27 | 18.18% |
| Gill Panda vs Lars | 10–22 | 31.25% |
| Gill Panda vs Leroy | 11–17 | 39.29% |
| Gill Panda vs Victor | 15–13 | 53.57% |
| Gill Panda vs Nina | 5–21 | 19.23% |
| Gill Panda vs Paul | 8–15 | 34.78% |
| Gill Panda vs Xiaoyu | 8–15 | 34.78% |
| Gill Panda vs Azucena | 13–9 | 59.09% |
| Gill Panda vs Asuka | 5–16 | 23.81% |
| Gill Panda vs Feng | 6–15 | 28.57% |
| Gill Panda vs Alisa | 8–13 | 38.10% |
| Gill Panda vs Kuma | 12–9 | 57.14% |
| Gill Panda vs Leo | 6–11 | 35.29% |
| Gill Panda vs Lee | 4–12 | 25.00% |
| Gill Panda vs Heihachi | 4–11 | 26.67% |
| Gill Panda vs Armor King | 11–4 | 73.33% |
| Gill Panda vs Claudio | 4–10 | 28.57% |
| Gill Panda vs Devil Jin | 3–10 | 23.08% |
| Gill Panda vs Shaheen | 7–5 | 58.33% |
| Gill Panda vs Jack-8 | 4–7 | 36.36% |
| Gill Panda vs Raven | 2–9 | 18.18% |
| Gill Panda vs Zafina | 7–0 | 100.00% |
| Gill Panda vs Miary Zo | 4–2 | 66.67% |
| Gill Panda vs Clive | 2–3 | 40.00% |
| Gill Panda vs Anna | 4–1 | 80.00% |
| Gill Panda vs Panda | 1–2 | 33.33% |
| Gill Panda vs Fahkumram | 2–0 | 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.