| Legs3000 vs Jin | 32–53 | 37.65% |
| Legs3000 vs King | 42–42 | 50.00% |
| Legs3000 vs Hwoarang | 22–51 | 30.14% |
| Legs3000 vs Kazuya | 27–43 | 38.57% |
| Legs3000 vs Steve | 24–37 | 39.34% |
| Legs3000 vs Asuka | 25–31 | 44.64% |
| Legs3000 vs Dragunov | 23–27 | 46.00% |
| Legs3000 vs Bryan | 27–21 | 56.25% |
| Legs3000 vs Reina | 22–22 | 50.00% |
| Legs3000 vs Azucena | 20–24 | 45.45% |
| Legs3000 vs Jun | 20–23 | 46.51% |
| Legs3000 vs Law | 18–22 | 45.00% |
| Legs3000 vs Lili | 23–16 | 58.97% |
| Legs3000 vs Lidia | 15–24 | 38.46% |
| Legs3000 vs Lars | 15–22 | 40.54% |
| Legs3000 vs Victor | 11–26 | 29.73% |
| Legs3000 vs Paul | 8–28 | 22.22% |
| Legs3000 vs Eddy | 10–26 | 27.78% |
| Legs3000 vs Devil Jin | 13–20 | 39.39% |
| Legs3000 vs Leroy | 8–25 | 24.24% |
| Legs3000 vs Yoshimitsu | 12–20 | 37.50% |
| Legs3000 vs Nina | 6–21 | 22.22% |
| Legs3000 vs Lee | 12–15 | 44.44% |
| Legs3000 vs Feng | 10–15 | 40.00% |
| Legs3000 vs Alisa | 3–15 | 16.67% |
| Legs3000 vs Raven | 6–12 | 33.33% |
| Legs3000 vs Xiaoyu | 6–11 | 35.29% |
| Legs3000 vs Leo | 8–9 | 47.06% |
| Legs3000 vs Kuma | 6–10 | 37.50% |
| Legs3000 vs Jack-8 | 3–10 | 23.08% |
| Legs3000 vs Zafina | 9–4 | 69.23% |
| Legs3000 vs Armor King | 2–8 | 20.00% |
| Legs3000 vs Claudio | 4–4 | 50.00% |
| Legs3000 vs Shaheen | 2–6 | 25.00% |
| Legs3000 vs Miary Zo | 6–1 | 85.71% |
| Legs3000 vs Panda | 2–2 | 50.00% |
| Legs3000 vs Heihachi | 1–3 | 25.00% |
| Legs3000 vs Fahkumram | 3–1 | 75.00% |
| Legs3000 vs Clive | 0–3 | 0.00% |
| Legs3000 vs Anna | 1–2 | 33.33% |
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.