| buff baby vs Kazuya | 79–100 | 44.13% |
| buff baby vs King | 58–94 | 38.16% |
| buff baby vs Jin | 70–65 | 51.85% |
| buff baby vs Reina | 59–71 | 45.38% |
| buff baby vs Hwoarang | 52–63 | 45.22% |
| buff baby vs Bryan | 40–70 | 36.36% |
| buff baby vs Steve | 36–60 | 37.50% |
| buff baby vs Paul | 30–54 | 35.71% |
| buff baby vs Dragunov | 35–49 | 41.67% |
| buff baby vs Heihachi | 32–48 | 40.00% |
| buff baby vs Eddy | 26–40 | 39.39% |
| buff baby vs Law | 36–28 | 56.25% |
| buff baby vs Lili | 23–40 | 36.51% |
| buff baby vs Jun | 27–34 | 44.26% |
| buff baby vs Clive | 31–29 | 51.67% |
| buff baby vs Feng | 20–39 | 33.90% |
| buff baby vs Devil Jin | 29–25 | 53.70% |
| buff baby vs Yoshimitsu | 25–27 | 48.08% |
| buff baby vs Azucena | 22–28 | 44.00% |
| buff baby vs Nina | 16–30 | 34.78% |
| buff baby vs Victor | 30–15 | 66.67% |
| buff baby vs Lars | 25–19 | 56.82% |
| buff baby vs Asuka | 13–25 | 34.21% |
| buff baby vs Lee | 12–26 | 31.58% |
| buff baby vs Alisa | 16–18 | 47.06% |
| buff baby vs Claudio | 18–14 | 56.25% |
| buff baby vs Lidia | 13–14 | 48.15% |
| buff baby vs Xiaoyu | 8–15 | 34.78% |
| buff baby vs Jack-8 | 15–8 | 65.22% |
| buff baby vs Zafina | 12–9 | 57.14% |
| buff baby vs Raven | 10–9 | 52.63% |
| buff baby vs Leo | 9–9 | 50.00% |
| buff baby vs Anna | 8–9 | 47.06% |
| buff baby vs Kuma | 9–6 | 60.00% |
| buff baby vs Shaheen | 2–10 | 16.67% |
| buff baby vs Leroy | 6–6 | 50.00% |
| buff baby vs Panda | 5–5 | 50.00% |
| buff baby vs Fahkumram | 2–3 | 40.00% |
| buff baby vs Armor King | 1–0 | 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.