| Teddybear vs Victor | 14–23 | 37.84% |
| Teddybear vs Lili | 12–17 | 41.38% |
| Teddybear vs Dragunov | 14–14 | 50.00% |
| Teddybear vs Jin | 17–9 | 65.38% |
| Teddybear vs Law | 10–15 | 40.00% |
| Teddybear vs Asuka | 11–13 | 45.83% |
| Teddybear vs Reina | 18–6 | 75.00% |
| Teddybear vs King | 13–10 | 56.52% |
| Teddybear vs Yoshimitsu | 13–9 | 59.09% |
| Teddybear vs Kazuya | 13–9 | 59.09% |
| Teddybear vs Hwoarang | 11–10 | 52.38% |
| Teddybear vs Bryan | 14–7 | 66.67% |
| Teddybear vs Steve | 15–5 | 75.00% |
| Teddybear vs Devil Jin | 7–13 | 35.00% |
| Teddybear vs Paul | 13–6 | 68.42% |
| Teddybear vs Lee | 12–7 | 63.16% |
| Teddybear vs Feng | 12–6 | 66.67% |
| Teddybear vs Alisa | 11–5 | 68.75% |
| Teddybear vs Nina | 6–10 | 37.50% |
| Teddybear vs Leroy | 8–8 | 50.00% |
| Teddybear vs Heihachi | 5–10 | 33.33% |
| Teddybear vs Kuma | 7–7 | 50.00% |
| Teddybear vs Jun | 9–5 | 64.29% |
| Teddybear vs Azucena | 10–4 | 71.43% |
| Teddybear vs Eddy | 5–8 | 38.46% |
| Teddybear vs Xiaoyu | 7–4 | 63.64% |
| Teddybear vs Jack-8 | 4–7 | 36.36% |
| Teddybear vs Claudio | 6–5 | 54.55% |
| Teddybear vs Zafina | 5–5 | 50.00% |
| Teddybear vs Shaheen | 3–6 | 33.33% |
| Teddybear vs Leo | 3–3 | 50.00% |
| Teddybear vs Lars | 3–3 | 50.00% |
| Teddybear vs Raven | 1–4 | 20.00% |
| Teddybear vs Lidia | 2–3 | 40.00% |
| Teddybear vs Panda | 1–1 | 50.00% |
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.