| DazedPanda vs King | 15–9 | 62.50% |
| DazedPanda vs Jin | 10–14 | 41.67% |
| DazedPanda vs Lidia | 14–6 | 70.00% |
| DazedPanda vs Reina | 11–7 | 61.11% |
| DazedPanda vs Victor | 5–12 | 29.41% |
| DazedPanda vs Law | 11–5 | 68.75% |
| DazedPanda vs Steve | 9–7 | 56.25% |
| DazedPanda vs Lili | 7–9 | 43.75% |
| DazedPanda vs Eddy | 6–9 | 40.00% |
| DazedPanda vs Bryan | 5–9 | 35.71% |
| DazedPanda vs Hwoarang | 6–7 | 46.15% |
| DazedPanda vs Kazuya | 4–9 | 30.77% |
| DazedPanda vs Yoshimitsu | 8–4 | 66.67% |
| DazedPanda vs Asuka | 6–5 | 54.55% |
| DazedPanda vs Azucena | 9–2 | 81.82% |
| DazedPanda vs Feng | 4–6 | 40.00% |
| DazedPanda vs Dragunov | 4–6 | 40.00% |
| DazedPanda vs Lars | 2–8 | 20.00% |
| DazedPanda vs Nina | 1–8 | 11.11% |
| DazedPanda vs Xiaoyu | 4–4 | 50.00% |
| DazedPanda vs Lee | 4–4 | 50.00% |
| DazedPanda vs Kuma | 6–2 | 75.00% |
| DazedPanda vs Alisa | 2–5 | 28.57% |
| DazedPanda vs Shaheen | 4–3 | 57.14% |
| DazedPanda vs Jun | 4–3 | 57.14% |
| DazedPanda vs Raven | 5–2 | 71.43% |
| DazedPanda vs Devil Jin | 4–2 | 66.67% |
| DazedPanda vs Leo | 3–3 | 50.00% |
| DazedPanda vs Leroy | 2–3 | 40.00% |
| DazedPanda vs Paul | 0–3 | 0.00% |
| DazedPanda vs Panda | 2–1 | 66.67% |
| DazedPanda vs Clive | 1–1 | 50.00% |
| DazedPanda vs Claudio | 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.