| _LedXTv_ vs Kazuya | 69–80 | 46.31% |
| _LedXTv_ vs Jin | 57–65 | 46.72% |
| _LedXTv_ vs Bryan | 55–59 | 48.25% |
| _LedXTv_ vs King | 55–57 | 49.11% |
| _LedXTv_ vs Reina | 53–45 | 54.08% |
| _LedXTv_ vs Heihachi | 57–40 | 58.76% |
| _LedXTv_ vs Steve | 33–47 | 41.25% |
| _LedXTv_ vs Paul | 30–37 | 44.78% |
| _LedXTv_ vs Hwoarang | 40–26 | 60.61% |
| _LedXTv_ vs Dragunov | 31–32 | 49.21% |
| _LedXTv_ vs Lili | 23–31 | 42.59% |
| _LedXTv_ vs Lee | 18–34 | 34.62% |
| _LedXTv_ vs Eddy | 20–30 | 40.00% |
| _LedXTv_ vs Law | 27–21 | 56.25% |
| _LedXTv_ vs Yoshimitsu | 20–28 | 41.67% |
| _LedXTv_ vs Jun | 20–23 | 46.51% |
| _LedXTv_ vs Lidia | 27–15 | 64.29% |
| _LedXTv_ vs Lars | 12–23 | 34.29% |
| _LedXTv_ vs Nina | 12–23 | 34.29% |
| _LedXTv_ vs Asuka | 17–17 | 50.00% |
| _LedXTv_ vs Azucena | 16–18 | 47.06% |
| _LedXTv_ vs Devil Jin | 18–12 | 60.00% |
| _LedXTv_ vs Feng | 9–21 | 30.00% |
| _LedXTv_ vs Alisa | 7–22 | 24.14% |
| _LedXTv_ vs Xiaoyu | 13–14 | 48.15% |
| _LedXTv_ vs Anna | 9–16 | 36.00% |
| _LedXTv_ vs Victor | 12–12 | 50.00% |
| _LedXTv_ vs Jack-8 | 10–10 | 50.00% |
| _LedXTv_ vs Leo | 11–8 | 57.89% |
| _LedXTv_ vs Kuma | 12–6 | 66.67% |
| _LedXTv_ vs Zafina | 10–5 | 66.67% |
| _LedXTv_ vs Leroy | 6–8 | 42.86% |
| _LedXTv_ vs Clive | 3–11 | 21.43% |
| _LedXTv_ vs Claudio | 4–9 | 30.77% |
| _LedXTv_ vs Shaheen | 3–10 | 23.08% |
| _LedXTv_ vs Miary Zo | 4–5 | 44.44% |
| _LedXTv_ vs Raven | 4–3 | 57.14% |
| _LedXTv_ vs Panda | 2–2 | 50.00% |
| _LedXTv_ vs Armor King | 2–2 | 50.00% |
| _LedXTv_ vs Fahkumram | 2–0 | 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.