| babyhama vs Bryan | 43–28 | 60.56% |
| babyhama vs Reina | 47–18 | 72.31% |
| babyhama vs Paul | 45–19 | 70.31% |
| babyhama vs Dragunov | 42–21 | 66.67% |
| babyhama vs Lidia | 37–26 | 58.73% |
| babyhama vs Kazuya | 34–25 | 57.63% |
| babyhama vs Steve | 38–20 | 65.52% |
| babyhama vs Hwoarang | 34–22 | 60.71% |
| babyhama vs Armor King | 34–18 | 65.38% |
| babyhama vs Jin | 31–19 | 62.00% |
| babyhama vs Feng | 28–20 | 58.33% |
| babyhama vs Heihachi | 26–15 | 63.41% |
| babyhama vs Jun | 27–13 | 67.50% |
| babyhama vs Clive | 25–14 | 64.10% |
| babyhama vs Asuka | 27–11 | 71.05% |
| babyhama vs Yoshimitsu | 28–8 | 77.78% |
| babyhama vs Victor | 26–10 | 72.22% |
| babyhama vs King | 22–12 | 64.71% |
| babyhama vs Law | 19–14 | 57.58% |
| babyhama vs Lili | 18–15 | 54.55% |
| babyhama vs Shaheen | 22–11 | 66.67% |
| babyhama vs Devil Jin | 20–10 | 66.67% |
| babyhama vs Leo | 21–9 | 70.00% |
| babyhama vs Anna | 15–15 | 50.00% |
| babyhama vs Lars | 15–13 | 53.57% |
| babyhama vs Azucena | 20–7 | 74.07% |
| babyhama vs Jack-8 | 17–9 | 65.38% |
| babyhama vs Alisa | 21–4 | 84.00% |
| babyhama vs Leroy | 15–10 | 60.00% |
| babyhama vs Nina | 18–3 | 85.71% |
| babyhama vs Lee | 10–8 | 55.56% |
| babyhama vs Fahkumram | 11–7 | 61.11% |
| babyhama vs Miary Zo | 10–8 | 55.56% |
| babyhama vs Kuma | 8–9 | 47.06% |
| babyhama vs Eddy | 10–7 | 58.82% |
| babyhama vs Claudio | 11–4 | 73.33% |
| babyhama vs Zafina | 9–6 | 60.00% |
| babyhama vs Xiaoyu | 10–3 | 76.92% |
| babyhama vs Panda | 6–3 | 66.67% |
| babyhama vs Raven | 4–5 | 44.44% |
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.