| PandaNeverSleep vs Reina | 4–8 | 33.33% |
| PandaNeverSleep vs Jin | 7–3 | 70.00% |
| PandaNeverSleep vs Lidia | 5–5 | 50.00% |
| PandaNeverSleep vs King | 6–2 | 75.00% |
| PandaNeverSleep vs Steve | 3–4 | 42.86% |
| PandaNeverSleep vs Jun | 3–4 | 42.86% |
| PandaNeverSleep vs Feng | 3–3 | 50.00% |
| PandaNeverSleep vs Lee | 1–5 | 16.67% |
| PandaNeverSleep vs Law | 3–2 | 60.00% |
| PandaNeverSleep vs Yoshimitsu | 1–4 | 20.00% |
| PandaNeverSleep vs Asuka | 1–4 | 20.00% |
| PandaNeverSleep vs Azucena | 3–2 | 60.00% |
| PandaNeverSleep vs Victor | 0–5 | 0.00% |
| PandaNeverSleep vs Devil Jin | 2–2 | 50.00% |
| PandaNeverSleep vs Alisa | 3–1 | 75.00% |
| PandaNeverSleep vs Hwoarang | 2–1 | 66.67% |
| PandaNeverSleep vs Bryan | 2–1 | 66.67% |
| PandaNeverSleep vs Dragunov | 2–1 | 66.67% |
| PandaNeverSleep vs Lars | 2–1 | 66.67% |
| PandaNeverSleep vs Nina | 1–2 | 33.33% |
| PandaNeverSleep vs Kuma | 0–3 | 0.00% |
| PandaNeverSleep vs Eddy | 0–3 | 0.00% |
| PandaNeverSleep vs Xiaoyu | 2–0 | 100.00% |
| PandaNeverSleep vs Jack-8 | 1–1 | 50.00% |
| PandaNeverSleep vs Lili | 0–2 | 0.00% |
| PandaNeverSleep vs Claudio | 0–2 | 0.00% |
| PandaNeverSleep vs Kazuya | 0–1 | 0.00% |
| PandaNeverSleep vs Shaheen | 1–0 | 100.00% |
| PandaNeverSleep vs Zafina | 0–1 | 0.00% |
| PandaNeverSleep vs Fahkumram | 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.