| Lonzo Bigme vs Reina | 16–15 | 51.61% |
| Lonzo Bigme vs King | 15–15 | 50.00% |
| Lonzo Bigme vs Kazuya | 15–10 | 60.00% |
| Lonzo Bigme vs Jin | 12–8 | 60.00% |
| Lonzo Bigme vs Hwoarang | 7–12 | 36.84% |
| Lonzo Bigme vs Bryan | 7–9 | 43.75% |
| Lonzo Bigme vs Jun | 8–7 | 53.33% |
| Lonzo Bigme vs Victor | 5–10 | 33.33% |
| Lonzo Bigme vs Yoshimitsu | 7–7 | 50.00% |
| Lonzo Bigme vs Xiaoyu | 9–5 | 64.29% |
| Lonzo Bigme vs Steve | 5–8 | 38.46% |
| Lonzo Bigme vs Lili | 12–1 | 92.31% |
| Lonzo Bigme vs Eddy | 9–4 | 69.23% |
| Lonzo Bigme vs Asuka | 5–7 | 41.67% |
| Lonzo Bigme vs Alisa | 10–2 | 83.33% |
| Lonzo Bigme vs Paul | 6–4 | 60.00% |
| Lonzo Bigme vs Law | 7–3 | 70.00% |
| Lonzo Bigme vs Feng | 5–5 | 50.00% |
| Lonzo Bigme vs Nina | 4–6 | 40.00% |
| Lonzo Bigme vs Lee | 8–2 | 80.00% |
| Lonzo Bigme vs Leroy | 8–2 | 80.00% |
| Lonzo Bigme vs Azucena | 3–6 | 33.33% |
| Lonzo Bigme vs Raven | 4–5 | 44.44% |
| Lonzo Bigme vs Leo | 5–3 | 62.50% |
| Lonzo Bigme vs Jack-8 | 3–4 | 42.86% |
| Lonzo Bigme vs Dragunov | 3–4 | 42.86% |
| Lonzo Bigme vs Lars | 3–2 | 60.00% |
| Lonzo Bigme vs Panda | 2–2 | 50.00% |
| Lonzo Bigme vs Zafina | 4–0 | 100.00% |
| Lonzo Bigme vs Devil Jin | 1–2 | 33.33% |
| Lonzo Bigme vs Kuma | 0–3 | 0.00% |
| Lonzo Bigme vs Claudio | 0–2 | 0.00% |
| Lonzo Bigme vs Shaheen | 1–1 | 50.00% |
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.