| LoneRanger vs Reina | 16–2 | 88.89% |
| LoneRanger vs Kazuya | 6–5 | 54.55% |
| LoneRanger vs Law | 8–2 | 80.00% |
| LoneRanger vs Jun | 6–4 | 60.00% |
| LoneRanger vs Hwoarang | 2–7 | 22.22% |
| LoneRanger vs Steve | 4–5 | 44.44% |
| LoneRanger vs Jack-8 | 4–5 | 44.44% |
| LoneRanger vs Bryan | 5–3 | 62.50% |
| LoneRanger vs Jin | 4–3 | 57.14% |
| LoneRanger vs Asuka | 3–3 | 50.00% |
| LoneRanger vs Feng | 4–1 | 80.00% |
| LoneRanger vs Lars | 0–4 | 0.00% |
| LoneRanger vs Panda | 4–0 | 100.00% |
| LoneRanger vs Azucena | 3–1 | 75.00% |
| LoneRanger vs Victor | 3–1 | 75.00% |
| LoneRanger vs Raven | 3–1 | 75.00% |
| LoneRanger vs Eddy | 2–2 | 50.00% |
| LoneRanger vs Paul | 2–1 | 66.67% |
| LoneRanger vs Lili | 2–1 | 66.67% |
| LoneRanger vs Leroy | 0–3 | 0.00% |
| LoneRanger vs Heihachi | 2–1 | 66.67% |
| LoneRanger vs Yoshimitsu | 0–2 | 0.00% |
| LoneRanger vs Xiaoyu | 0–2 | 0.00% |
| LoneRanger vs Alisa | 2–0 | 100.00% |
| LoneRanger vs Lidia | 2–0 | 100.00% |
| LoneRanger vs Miary Zo | 2–0 | 100.00% |
| LoneRanger vs King | 1–0 | 100.00% |
| LoneRanger vs Dragunov | 1–0 | 100.00% |
| LoneRanger vs Leo | 0–1 | 0.00% |
| LoneRanger vs Claudio | 1–0 | 100.00% |
| LoneRanger vs Shaheen | 0–1 | 0.00% |
| LoneRanger vs Nina | 0–1 | 0.00% |
| LoneRanger vs Lee | 1–0 | 100.00% |
| LoneRanger vs Zafina | 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.