| UEL/TLG vs Jin | 47–35 | 57.32% |
| UEL/TLG vs Reina | 37–37 | 50.00% |
| UEL/TLG vs King | 36–33 | 52.17% |
| UEL/TLG vs Steve | 35–29 | 54.69% |
| UEL/TLG vs Clive | 26–38 | 40.62% |
| UEL/TLG vs Kazuya | 23–26 | 46.94% |
| UEL/TLG vs Yoshimitsu | 23–25 | 47.92% |
| UEL/TLG vs Heihachi | 26–22 | 54.17% |
| UEL/TLG vs Bryan | 23–24 | 48.94% |
| UEL/TLG vs Paul | 18–25 | 41.86% |
| UEL/TLG vs Xiaoyu | 28–14 | 66.67% |
| UEL/TLG vs Dragunov | 14–25 | 35.90% |
| UEL/TLG vs Law | 24–13 | 64.86% |
| UEL/TLG vs Jun | 19–14 | 57.58% |
| UEL/TLG vs Lili | 16–16 | 50.00% |
| UEL/TLG vs Hwoarang | 19–10 | 65.52% |
| UEL/TLG vs Raven | 19–9 | 67.86% |
| UEL/TLG vs Asuka | 16–11 | 59.26% |
| UEL/TLG vs Devil Jin | 16–11 | 59.26% |
| UEL/TLG vs Feng | 17–8 | 68.00% |
| UEL/TLG vs Azucena | 12–12 | 50.00% |
| UEL/TLG vs Lars | 11–11 | 50.00% |
| UEL/TLG vs Lee | 11–10 | 52.38% |
| UEL/TLG vs Alisa | 12–8 | 60.00% |
| UEL/TLG vs Leo | 8–11 | 42.11% |
| UEL/TLG vs Victor | 8–11 | 42.11% |
| UEL/TLG vs Claudio | 5–10 | 33.33% |
| UEL/TLG vs Eddy | 9–4 | 69.23% |
| UEL/TLG vs Shaheen | 5–7 | 41.67% |
| UEL/TLG vs Lidia | 9–3 | 75.00% |
| UEL/TLG vs Nina | 6–4 | 60.00% |
| UEL/TLG vs Kuma | 4–6 | 40.00% |
| UEL/TLG vs Zafina | 5–3 | 62.50% |
| UEL/TLG vs Leroy | 4–3 | 57.14% |
| UEL/TLG vs Jack-8 | 1–5 | 16.67% |
| UEL/TLG vs Panda | 3–2 | 60.00% |
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.