| LENDUPENDU*123 vs King | 36–51 | 41.38% |
| LENDUPENDU*123 vs Paul | 22–44 | 33.33% |
| LENDUPENDU*123 vs Law | 31–35 | 46.97% |
| LENDUPENDU*123 vs Kazuya | 40–26 | 60.61% |
| LENDUPENDU*123 vs Jin | 34–28 | 54.84% |
| LENDUPENDU*123 vs Devil Jin | 17–25 | 40.48% |
| LENDUPENDU*123 vs Dragunov | 12–26 | 31.58% |
| LENDUPENDU*123 vs Bryan | 10–22 | 31.25% |
| LENDUPENDU*123 vs Hwoarang | 10–19 | 34.48% |
| LENDUPENDU*123 vs Reina | 16–11 | 59.26% |
| LENDUPENDU*123 vs Victor | 10–12–1 | 45.45% |
| LENDUPENDU*123 vs Nina | 11–11 | 50.00% |
| LENDUPENDU*123 vs Steve | 9–12 | 42.86% |
| LENDUPENDU*123 vs Alisa | 14–7 | 66.67% |
| LENDUPENDU*123 vs Yoshimitsu | 10–9 | 52.63% |
| LENDUPENDU*123 vs Eddy | 7–12 | 36.84% |
| LENDUPENDU*123 vs Asuka | 8–5 | 61.54% |
| LENDUPENDU*123 vs Azucena | 4–8 | 33.33% |
| LENDUPENDU*123 vs Xiaoyu | 3–8 | 27.27% |
| LENDUPENDU*123 vs Jun | 5–5 | 50.00% |
| LENDUPENDU*123 vs Lidia | 4–6 | 40.00% |
| LENDUPENDU*123 vs Lee | 5–4 | 55.56% |
| LENDUPENDU*123 vs Feng | 4–4 | 50.00% |
| LENDUPENDU*123 vs Lili | 2–6 | 25.00% |
| LENDUPENDU*123 vs Lars | 1–6 | 14.29% |
| LENDUPENDU*123 vs Claudio | 6–1 | 85.71% |
| LENDUPENDU*123 vs Leo | 2–4 | 33.33% |
| LENDUPENDU*123 vs Zafina | 5–1 | 83.33% |
| LENDUPENDU*123 vs Shaheen | 3–1 | 75.00% |
| LENDUPENDU*123 vs Leroy | 2–2 | 50.00% |
| LENDUPENDU*123 vs Panda | 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.