| quagondodo vs Jin | 10–12 | 45.45% |
| quagondodo vs King | 9–11 | 45.00% |
| quagondodo vs Dragunov | 7–11 | 38.89% |
| quagondodo vs Lidia | 11–7 | 61.11% |
| quagondodo vs Bryan | 7–10 | 41.18% |
| quagondodo vs Kazuya | 5–12 | 29.41% |
| quagondodo vs Hwoarang | 5–9 | 35.71% |
| quagondodo vs Eddy | 7–7 | 50.00% |
| quagondodo vs Law | 3–10 | 23.08% |
| quagondodo vs Reina | 3–9 | 25.00% |
| quagondodo vs Lili | 9–2 | 81.82% |
| quagondodo vs Victor | 3–7 | 30.00% |
| quagondodo vs Yoshimitsu | 6–3 | 66.67% |
| quagondodo vs Paul | 6–2 | 75.00% |
| quagondodo vs Leo | 2–6 | 25.00% |
| quagondodo vs Lars | 3–5 | 37.50% |
| quagondodo vs Steve | 2–5 | 28.57% |
| quagondodo vs Asuka | 4–3 | 57.14% |
| quagondodo vs Jack-8 | 3–3 | 50.00% |
| quagondodo vs Devil Jin | 2–4 | 33.33% |
| quagondodo vs Nina | 6–0 | 100.00% |
| quagondodo vs Alisa | 3–2 | 60.00% |
| quagondodo vs Xiaoyu | 1–3 | 25.00% |
| quagondodo vs Jun | 2–2 | 50.00% |
| quagondodo vs Zafina | 3–0 | 100.00% |
| quagondodo vs Leroy | 0–3 | 0.00% |
| quagondodo vs Feng | 0–2 | 0.00% |
| quagondodo vs Claudio | 2–0 | 100.00% |
| quagondodo vs Shaheen | 0–2 | 0.00% |
| quagondodo vs Lee | 0–2 | 0.00% |
| quagondodo vs Azucena | 0–2 | 0.00% |
| quagondodo vs Raven | 0–2 | 0.00% |
| quagondodo vs Panda | 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.