| TeddyKim vs Kazuya | 48–36 | 57.14% |
| TeddyKim vs Hwoarang | 30–29 | 50.85% |
| TeddyKim vs Paul | 33–24 | 57.89% |
| TeddyKim vs Dragunov | 26–25 | 50.98% |
| TeddyKim vs Bryan | 27–22 | 55.10% |
| TeddyKim vs Jin | 28–14 | 66.67% |
| TeddyKim vs Lili | 26–11 | 70.27% |
| TeddyKim vs Reina | 21–15 | 58.33% |
| TeddyKim vs King | 19–15 | 55.88% |
| TeddyKim vs Devil Jin | 15–18 | 45.45% |
| TeddyKim vs Victor | 17–16 | 51.52% |
| TeddyKim vs Jun | 16–14 | 53.33% |
| TeddyKim vs Lars | 13–16 | 44.83% |
| TeddyKim vs Alisa | 13–16 | 44.83% |
| TeddyKim vs Asuka | 13–12 | 52.00% |
| TeddyKim vs Nina | 15–10 | 60.00% |
| TeddyKim vs Heihachi | 15–9 | 62.50% |
| TeddyKim vs Law | 14–9 | 60.87% |
| TeddyKim vs Steve | 10–13 | 43.48% |
| TeddyKim vs Feng | 13–10 | 56.52% |
| TeddyKim vs Claudio | 9–14 | 39.13% |
| TeddyKim vs Jack-8 | 14–8 | 63.64% |
| TeddyKim vs Kuma | 14–8 | 63.64% |
| TeddyKim vs Zafina | 11–11 | 50.00% |
| TeddyKim vs Yoshimitsu | 10–11 | 47.62% |
| TeddyKim vs Azucena | 9–12 | 42.86% |
| TeddyKim vs Lidia | 10–9 | 52.63% |
| TeddyKim vs Xiaoyu | 7–10 | 41.18% |
| TeddyKim vs Lee | 11–6 | 64.71% |
| TeddyKim vs Leroy | 13–4 | 76.47% |
| TeddyKim vs Eddy | 11–6 | 64.71% |
| TeddyKim vs Leo | 10–6 | 62.50% |
| TeddyKim vs Raven | 4–12 | 25.00% |
| TeddyKim vs Clive | 9–7 | 56.25% |
| TeddyKim vs Fahkumram | 9–6–1 | 60.00% |
| TeddyKim vs Armor King | 7–5 | 58.33% |
| TeddyKim vs Miary Zo | 6–6 | 50.00% |
| TeddyKim vs Panda | 4–4 | 50.00% |
| TeddyKim vs Shaheen | 3–3 | 50.00% |
| TeddyKim vs Anna | 3–2 | 60.00% |
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.