| BAO_000 vs Jin | 16–24 | 40.00% |
| BAO_000 vs King | 21–18 | 53.85% |
| BAO_000 vs Kazuya | 18–18 | 50.00% |
| BAO_000 vs Steve | 13–19 | 40.62% |
| BAO_000 vs Lili | 12–15 | 44.44% |
| BAO_000 vs Reina | 5–14 | 26.32% |
| BAO_000 vs Armor King | 3–14 | 17.65% |
| BAO_000 vs Dragunov | 10–6 | 62.50% |
| BAO_000 vs Jun | 7–9 | 43.75% |
| BAO_000 vs Hwoarang | 9–5 | 64.29% |
| BAO_000 vs Bryan | 7–7 | 50.00% |
| BAO_000 vs Fahkumram | 3–11 | 21.43% |
| BAO_000 vs Law | 4–8 | 33.33% |
| BAO_000 vs Kuma | 8–3 | 72.73% |
| BAO_000 vs Paul | 1–9 | 10.00% |
| BAO_000 vs Xiaoyu | 2–8 | 20.00% |
| BAO_000 vs Lee | 2–8 | 20.00% |
| BAO_000 vs Clive | 3–6 | 33.33% |
| BAO_000 vs Yoshimitsu | 3–5 | 37.50% |
| BAO_000 vs Jack-8 | 7–1 | 87.50% |
| BAO_000 vs Leroy | 3–5 | 37.50% |
| BAO_000 vs Victor | 5–3 | 62.50% |
| BAO_000 vs Lidia | 3–5 | 37.50% |
| BAO_000 vs Heihachi | 5–2 | 71.43% |
| BAO_000 vs Lars | 3–3 | 50.00% |
| BAO_000 vs Eddy | 2–3 | 40.00% |
| BAO_000 vs Feng | 4–0 | 100.00% |
| BAO_000 vs Nina | 3–1 | 75.00% |
| BAO_000 vs Anna | 4–0 | 100.00% |
| BAO_000 vs Miary Zo | 4–0 | 100.00% |
| BAO_000 vs Claudio | 1–2 | 33.33% |
| BAO_000 vs Panda | 1–2 | 33.33% |
| BAO_000 vs Asuka | 2–0 | 100.00% |
| BAO_000 vs Devil Jin | 0–2 | 0.00% |
| BAO_000 vs Leo | 1–1 | 50.00% |
| BAO_000 vs Alisa | 2–0 | 100.00% |
| BAO_000 vs Azucena | 2–0 | 100.00% |
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.