| Teddy vs King | 93–102 | 47.69% |
| Teddy vs Jin | 87–87 | 50.00% |
| Teddy vs Law | 81–88 | 47.93% |
| Teddy vs Bryan | 100–64 | 60.98% |
| Teddy vs Hwoarang | 91–70 | 56.52% |
| Teddy vs Kazuya | 83–67 | 55.33% |
| Teddy vs Steve | 60–87 | 40.82% |
| Teddy vs Eddy | 73–49 | 59.84% |
| Teddy vs Dragunov | 56–65 | 46.28% |
| Teddy vs Paul | 40–77 | 34.19% |
| Teddy vs Reina | 50–63 | 44.25% |
| Teddy vs Lili | 54–53 | 50.47% |
| Teddy vs Lars | 45–52 | 46.39% |
| Teddy vs Lee | 48–47 | 50.53% |
| Teddy vs Victor | 58–33 | 63.74% |
| Teddy vs Jun | 44–43 | 50.57% |
| Teddy vs Azucena | 44–40 | 52.38% |
| Teddy vs Yoshimitsu | 42–36 | 53.85% |
| Teddy vs Asuka | 39–34 | 53.42% |
| Teddy vs Xiaoyu | 39–32 | 54.93% |
| Teddy vs Devil Jin | 33–27 | 55.00% |
| Teddy vs Alisa | 26–34 | 43.33% |
| Teddy vs Lidia | 35–22 | 61.40% |
| Teddy vs Feng | 23–32 | 41.82% |
| Teddy vs Leo | 30–20 | 60.00% |
| Teddy vs Raven | 31–18 | 63.27% |
| Teddy vs Nina | 25–23 | 52.08% |
| Teddy vs Leroy | 25–19 | 56.82% |
| Teddy vs Kuma | 16–25 | 39.02% |
| Teddy vs Jack-8 | 13–22 | 37.14% |
| Teddy vs Claudio | 14–20 | 41.18% |
| Teddy vs Zafina | 13–13 | 50.00% |
| Teddy vs Shaheen | 14–6 | 70.00% |
| Teddy vs Panda | 6–3 | 66.67% |
| Teddy vs Clive | 2–2 | 50.00% |
| Teddy vs Anna | 2–2 | 50.00% |
| Teddy vs Heihachi | 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.