| BIEJIIS vs King | 32–15 | 68.09% |
| BIEJIIS vs Armor King | 26–14 | 65.00% |
| BIEJIIS vs Jin | 23–13 | 63.89% |
| BIEJIIS vs Kazuya | 22–14 | 61.11% |
| BIEJIIS vs Reina | 18–13 | 58.06% |
| BIEJIIS vs Heihachi | 16–11 | 59.26% |
| BIEJIIS vs Jun | 15–9 | 62.50% |
| BIEJIIS vs Steve | 16–6 | 72.73% |
| BIEJIIS vs Victor | 7–15 | 31.82% |
| BIEJIIS vs Bryan | 14–7 | 66.67% |
| BIEJIIS vs Law | 11–7 | 61.11% |
| BIEJIIS vs Paul | 15–2 | 88.24% |
| BIEJIIS vs Yoshimitsu | 10–7 | 58.82% |
| BIEJIIS vs Xiaoyu | 11–6 | 64.71% |
| BIEJIIS vs Dragunov | 12–5 | 70.59% |
| BIEJIIS vs Lili | 7–8 | 46.67% |
| BIEJIIS vs Lars | 10–5 | 66.67% |
| BIEJIIS vs Asuka | 7–7 | 50.00% |
| BIEJIIS vs Devil Jin | 6–7 | 46.15% |
| BIEJIIS vs Azucena | 7–6 | 53.85% |
| BIEJIIS vs Eddy | 5–8 | 38.46% |
| BIEJIIS vs Lidia | 7–6 | 53.85% |
| BIEJIIS vs Leroy | 8–4 | 66.67% |
| BIEJIIS vs Hwoarang | 4–6 | 40.00% |
| BIEJIIS vs Feng | 8–2 | 80.00% |
| BIEJIIS vs Alisa | 7–3 | 70.00% |
| BIEJIIS vs Claudio | 5–3 | 62.50% |
| BIEJIIS vs Kuma | 5–3 | 62.50% |
| BIEJIIS vs Lee | 3–4 | 42.86% |
| BIEJIIS vs Leo | 3–2 | 60.00% |
| BIEJIIS vs Anna | 4–1 | 80.00% |
| BIEJIIS vs Panda | 2–2 | 50.00% |
| BIEJIIS vs Zafina | 2–2 | 50.00% |
| BIEJIIS vs Shaheen | 3–0 | 100.00% |
| BIEJIIS vs Nina | 3–0 | 100.00% |
| BIEJIIS vs Jack-8 | 0–2 | 0.00% |
| BIEJIIS 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.