| B0NGB0NG vs King | 36–27 | 57.14% |
| B0NGB0NG vs Steve | 30–26 | 53.57% |
| B0NGB0NG vs Kazuya | 19–27 | 41.30% |
| B0NGB0NG vs Jin | 30–15 | 66.67% |
| B0NGB0NG vs Heihachi | 26–16 | 61.90% |
| B0NGB0NG vs Reina | 24–15 | 61.54% |
| B0NGB0NG vs Lili | 22–12 | 64.71% |
| B0NGB0NG vs Bryan | 18–15 | 54.55% |
| B0NGB0NG vs Jun | 18–10 | 64.29% |
| B0NGB0NG vs Yoshimitsu | 21–5 | 80.77% |
| B0NGB0NG vs Hwoarang | 15–10 | 60.00% |
| B0NGB0NG vs Lars | 11–13 | 45.83% |
| B0NGB0NG vs Dragunov | 14–7 | 66.67% |
| B0NGB0NG vs Paul | 11–8 | 57.89% |
| B0NGB0NG vs Law | 11–6 | 64.71% |
| B0NGB0NG vs Asuka | 9–8 | 52.94% |
| B0NGB0NG vs Jack-8 | 7–9 | 43.75% |
| B0NGB0NG vs Azucena | 5–10 | 33.33% |
| B0NGB0NG vs Nina | 10–3 | 76.92% |
| B0NGB0NG vs Eddy | 3–10 | 23.08% |
| B0NGB0NG vs Leo | 6–6 | 50.00% |
| B0NGB0NG vs Claudio | 8–4 | 66.67% |
| B0NGB0NG vs Devil Jin | 8–3 | 72.73% |
| B0NGB0NG vs Alisa | 8–3 | 72.73% |
| B0NGB0NG vs Lee | 2–8 | 20.00% |
| B0NGB0NG vs Kuma | 6–4 | 60.00% |
| B0NGB0NG vs Xiaoyu | 6–3 | 66.67% |
| B0NGB0NG vs Victor | 5–4 | 55.56% |
| B0NGB0NG vs Raven | 3–5 | 37.50% |
| B0NGB0NG vs Feng | 4–3 | 57.14% |
| B0NGB0NG vs Shaheen | 3–2–1 | 60.00% |
| B0NGB0NG vs Leroy | 4–2 | 66.67% |
| B0NGB0NG vs Lidia | 2–3 | 40.00% |
| B0NGB0NG vs Clive | 1–2 | 33.33% |
| B0NGB0NG vs Panda | 0–2 | 0.00% |
| B0NGB0NG vs Zafina | 0–2 | 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.