| OCB_MGL vs Kazuya | 11–11 | 50.00% |
| OCB_MGL vs Miary Zo | 15–5 | 75.00% |
| OCB_MGL vs Reina | 6–12 | 33.33% |
| OCB_MGL vs King | 8–8 | 50.00% |
| OCB_MGL vs Dragunov | 5–11 | 31.25% |
| OCB_MGL vs Steve | 12–2 | 85.71% |
| OCB_MGL vs Eddy | 6–8 | 42.86% |
| OCB_MGL vs Jin | 6–6 | 50.00% |
| OCB_MGL vs Law | 8–3 | 72.73% |
| OCB_MGL vs Hwoarang | 6–4 | 60.00% |
| OCB_MGL vs Armor King | 2–6 | 25.00% |
| OCB_MGL vs Xiaoyu | 2–5 | 28.57% |
| OCB_MGL vs Nina | 2–5 | 28.57% |
| OCB_MGL vs Victor | 5–2 | 71.43% |
| OCB_MGL vs Lidia | 3–4 | 42.86% |
| OCB_MGL vs Yoshimitsu | 3–3 | 50.00% |
| OCB_MGL vs Devil Jin | 3–3 | 50.00% |
| OCB_MGL vs Lili | 5–1 | 83.33% |
| OCB_MGL vs Claudio | 3–2 | 60.00% |
| OCB_MGL vs Clive | 4–1 | 80.00% |
| OCB_MGL vs Jack-8 | 2–2 | 50.00% |
| OCB_MGL vs Lee | 1–3 | 25.00% |
| OCB_MGL vs Heihachi | 0–4 | 0.00% |
| OCB_MGL vs Azucena | 1–2 | 33.33% |
| OCB_MGL vs Paul | 0–2 | 0.00% |
| OCB_MGL vs Bryan | 2–0 | 100.00% |
| OCB_MGL vs Asuka | 2–0 | 100.00% |
| OCB_MGL vs Leo | 2–0 | 100.00% |
| OCB_MGL vs Lars | 2–0 | 100.00% |
| OCB_MGL vs Alisa | 1–1 | 50.00% |
| OCB_MGL vs Panda | 0–2 | 0.00% |
| OCB_MGL vs Leroy | 1–1 | 50.00% |
| OCB_MGL vs Jun | 2–0 | 100.00% |
| OCB_MGL vs Fahkumram | 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.