| IDK_LEGEND000 vs Steve | 29–11 | 72.50% |
| IDK_LEGEND000 vs King | 13–15 | 46.43% |
| IDK_LEGEND000 vs Reina | 20–7 | 74.07% |
| IDK_LEGEND000 vs Jun | 19–7 | 73.08% |
| IDK_LEGEND000 vs Law | 20–5 | 80.00% |
| IDK_LEGEND000 vs Hwoarang | 13–12 | 52.00% |
| IDK_LEGEND000 vs Jin | 15–8 | 65.22% |
| IDK_LEGEND000 vs Kazuya | 12–10 | 54.55% |
| IDK_LEGEND000 vs Dragunov | 7–13 | 35.00% |
| IDK_LEGEND000 vs Azucena | 10–10 | 50.00% |
| IDK_LEGEND000 vs Lili | 10–8 | 55.56% |
| IDK_LEGEND000 vs Alisa | 7–9 | 43.75% |
| IDK_LEGEND000 vs Asuka | 11–4 | 73.33% |
| IDK_LEGEND000 vs Victor | 5–9 | 35.71% |
| IDK_LEGEND000 vs Raven | 7–7 | 50.00% |
| IDK_LEGEND000 vs Eddy | 12–2 | 85.71% |
| IDK_LEGEND000 vs Bryan | 6–6 | 50.00% |
| IDK_LEGEND000 vs Lars | 6–6 | 50.00% |
| IDK_LEGEND000 vs Devil Jin | 5–5 | 50.00% |
| IDK_LEGEND000 vs Yoshimitsu | 1–8 | 11.11% |
| IDK_LEGEND000 vs Lee | 7–2 | 77.78% |
| IDK_LEGEND000 vs Feng | 7–1 | 87.50% |
| IDK_LEGEND000 vs Leo | 5–2 | 71.43% |
| IDK_LEGEND000 vs Xiaoyu | 4–2 | 66.67% |
| IDK_LEGEND000 vs Jack-8 | 2–4 | 33.33% |
| IDK_LEGEND000 vs Nina | 2–4 | 33.33% |
| IDK_LEGEND000 vs Claudio | 3–2 | 60.00% |
| IDK_LEGEND000 vs Panda | 2–3 | 40.00% |
| IDK_LEGEND000 vs Lidia | 1–2 | 33.33% |
| IDK_LEGEND000 vs Paul | 2–0 | 100.00% |
| IDK_LEGEND000 vs Leroy | 1–1 | 50.00% |
| IDK_LEGEND000 vs Shaheen | 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.