| u5_3enx vs Reina | 32–28 | 53.33% |
| u5_3enx vs Jin | 11–36 | 23.40% |
| u5_3enx vs King | 12–32 | 27.27% |
| u5_3enx vs Kazuya | 12–31 | 27.91% |
| u5_3enx vs Heihachi | 10–31 | 24.39% |
| u5_3enx vs Dragunov | 14–26 | 35.00% |
| u5_3enx vs Hwoarang | 8–25 | 24.24% |
| u5_3enx vs Steve | 12–20 | 37.50% |
| u5_3enx vs Jun | 12–17 | 41.38% |
| u5_3enx vs Yoshimitsu | 11–17 | 39.29% |
| u5_3enx vs Devil Jin | 10–18 | 35.71% |
| u5_3enx vs Bryan | 5–21 | 19.23% |
| u5_3enx vs Lili | 5–20 | 20.00% |
| u5_3enx vs Paul | 1–21 | 4.55% |
| u5_3enx vs Law | 4–15 | 21.05% |
| u5_3enx vs Alisa | 7–12 | 36.84% |
| u5_3enx vs Lidia | 3–14 | 17.65% |
| u5_3enx vs Nina | 7–9 | 43.75% |
| u5_3enx vs Victor | 4–11 | 26.67% |
| u5_3enx vs Claudio | 9–5 | 64.29% |
| u5_3enx vs Lars | 3–9 | 25.00% |
| u5_3enx vs Zafina | 4–8 | 33.33% |
| u5_3enx vs Xiaoyu | 1–10 | 9.09% |
| u5_3enx vs Leo | 4–7 | 36.36% |
| u5_3enx vs Kuma | 4–7 | 36.36% |
| u5_3enx vs Eddy | 3–8 | 27.27% |
| u5_3enx vs Jack-8 | 3–7 | 30.00% |
| u5_3enx vs Azucena | 6–4 | 60.00% |
| u5_3enx vs Clive | 2–8 | 20.00% |
| u5_3enx vs Lee | 2–7 | 22.22% |
| u5_3enx vs Asuka | 2–4 | 33.33% |
| u5_3enx vs Feng | 2–4 | 33.33% |
| u5_3enx vs Leroy | 2–4 | 33.33% |
| u5_3enx vs Shaheen | 0–4 | 0.00% |
| u5_3enx vs Raven | 1–3 | 25.00% |
| u5_3enx vs Panda | 2–1 | 66.67% |
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.