| quijote vs Steve | 20–23 | 46.51% |
| quijote vs Kazuya | 17–24 | 41.46% |
| quijote vs King | 12–16 | 42.86% |
| quijote vs Law | 10–13 | 43.48% |
| quijote vs Lars | 8–14 | 36.36% |
| quijote vs Hwoarang | 11–10 | 52.38% |
| quijote vs Jin | 4–17 | 19.05% |
| quijote vs Reina | 11–9 | 55.00% |
| quijote vs Nina | 6–13 | 31.58% |
| quijote vs Bryan | 4–14 | 22.22% |
| quijote vs Lili | 11–6 | 64.71% |
| quijote vs Armor King | 4–11 | 26.67% |
| quijote vs Eddy | 5–9 | 35.71% |
| quijote vs Yoshimitsu | 8–4 | 66.67% |
| quijote vs Dragunov | 3–9 | 25.00% |
| quijote vs Claudio | 3–9 | 25.00% |
| quijote vs Lee | 6–6 | 50.00% |
| quijote vs Miary Zo | 3–7 | 30.00% |
| quijote vs Azucena | 4–5 | 44.44% |
| quijote vs Victor | 4–5 | 44.44% |
| quijote vs Devil Jin | 2–6 | 25.00% |
| quijote vs Shaheen | 3–5 | 37.50% |
| quijote vs Jun | 6–2 | 75.00% |
| quijote vs Anna | 0–8 | 0.00% |
| quijote vs Clive | 1–6 | 14.29% |
| quijote vs Paul | 3–1 | 75.00% |
| quijote vs Feng | 0–4 | 0.00% |
| quijote vs Asuka | 1–2 | 33.33% |
| quijote vs Panda | 2–1 | 66.67% |
| quijote vs Zafina | 2–1 | 66.67% |
| quijote vs Lidia | 3–0 | 100.00% |
| quijote vs Heihachi | 1–2 | 33.33% |
| quijote vs Fahkumram | 1–1 | 50.00% |
| quijote vs Alisa | 0–1 | 0.00% |
| quijote vs Leroy | 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.