| LonelyxSky vs Eddy | 10–13 | 43.48% |
| LonelyxSky vs King | 6–11 | 35.29% |
| LonelyxSky vs Jin | 13–3 | 81.25% |
| LonelyxSky vs Steve | 9–7 | 56.25% |
| LonelyxSky vs Reina | 6–5 | 54.55% |
| LonelyxSky vs Heihachi | 7–4 | 63.64% |
| LonelyxSky vs Victor | 5–5 | 50.00% |
| LonelyxSky vs Raven | 5–5 | 50.00% |
| LonelyxSky vs Law | 3–6 | 33.33% |
| LonelyxSky vs Bryan | 6–3 | 66.67% |
| LonelyxSky vs Kazuya | 4–5 | 44.44% |
| LonelyxSky vs Clive | 6–3 | 66.67% |
| LonelyxSky vs Hwoarang | 5–3 | 62.50% |
| LonelyxSky vs Lili | 4–4 | 50.00% |
| LonelyxSky vs Dragunov | 4–4 | 50.00% |
| LonelyxSky vs Yoshimitsu | 3–3 | 50.00% |
| LonelyxSky vs Xiaoyu | 4–2 | 66.67% |
| LonelyxSky vs Azucena | 4–2 | 66.67% |
| LonelyxSky vs Devil Jin | 1–4 | 20.00% |
| LonelyxSky vs Nina | 4–1 | 80.00% |
| LonelyxSky vs Leroy | 1–4 | 20.00% |
| LonelyxSky vs Jack-8 | 4–0 | 100.00% |
| LonelyxSky vs Shaheen | 3–1 | 75.00% |
| LonelyxSky vs Jun | 2–2 | 50.00% |
| LonelyxSky vs Paul | 0–3 | 0.00% |
| LonelyxSky vs Feng | 0–3 | 0.00% |
| LonelyxSky vs Lars | 2–1 | 66.67% |
| LonelyxSky vs Alisa | 2–1 | 66.67% |
| LonelyxSky vs Lee | 2–1 | 66.67% |
| LonelyxSky vs Kuma | 1–2 | 33.33% |
| LonelyxSky vs Lidia | 1–2 | 33.33% |
| LonelyxSky vs Asuka | 0–2 | 0.00% |
| LonelyxSky vs Leo | 1–1 | 50.00% |
| LonelyxSky vs Fahkumram | 2–0 | 100.00% |
| LonelyxSky vs Miary Zo | 2–0 | 100.00% |
| LonelyxSky vs Claudio | 1–0 | 100.00% |
| LonelyxSky vs Zafina | 1–0 | 100.00% |
| LonelyxSky vs Anna | 0–1 | 0.00% |
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.