| LoneBandit vs Steve | 5–9 | 35.71% |
| LoneBandit vs Yoshimitsu | 9–1 | 90.00% |
| LoneBandit vs King | 3–5 | 37.50% |
| LoneBandit vs Victor | 3–5 | 37.50% |
| LoneBandit vs Law | 2–5 | 28.57% |
| LoneBandit vs Dragunov | 4–3 | 57.14% |
| LoneBandit vs Lee | 4–3 | 57.14% |
| LoneBandit vs Jun | 3–4 | 42.86% |
| LoneBandit vs Reina | 2–5 | 28.57% |
| LoneBandit vs Jin | 4–2 | 66.67% |
| LoneBandit vs Kazuya | 3–3 | 50.00% |
| LoneBandit vs Azucena | 3–3 | 50.00% |
| LoneBandit vs Heihachi | 5–1 | 83.33% |
| LoneBandit vs Leroy | 2–3 | 40.00% |
| LoneBandit vs Lidia | 2–3 | 40.00% |
| LoneBandit vs Clive | 4–1 | 80.00% |
| LoneBandit vs Paul | 2–2 | 50.00% |
| LoneBandit vs Lili | 0–4 | 0.00% |
| LoneBandit vs Bryan | 1–2 | 33.33% |
| LoneBandit vs Leo | 2–1 | 66.67% |
| LoneBandit vs Lars | 1–2 | 33.33% |
| LoneBandit vs Anna | 2–1 | 66.67% |
| LoneBandit vs Armor King | 1–2 | 33.33% |
| LoneBandit vs Hwoarang | 0–2 | 0.00% |
| LoneBandit vs Jack-8 | 1–1 | 50.00% |
| LoneBandit vs Devil Jin | 0–2 | 0.00% |
| LoneBandit vs Panda | 2–0 | 100.00% |
| LoneBandit vs Eddy | 0–2 | 0.00% |
| LoneBandit vs Xiaoyu | 0–1 | 0.00% |
| LoneBandit vs Alisa | 1–0 | 100.00% |
| LoneBandit vs Claudio | 1–0 | 100.00% |
| LoneBandit vs Kuma | 0–1 | 0.00% |
| LoneBandit vs Zafina | 0–1 | 0.00% |
| LoneBandit vs Raven | 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.