| Teberle vs Lidia | 32–45 | 41.56% |
| Teberle vs Steve | 31–33 | 48.44% |
| Teberle vs King | 17–28 | 37.78% |
| Teberle vs Reina | 24–21 | 53.33% |
| Teberle vs Dragunov | 16–27 | 37.21% |
| Teberle vs Hwoarang | 17–24 | 41.46% |
| Teberle vs Kazuya | 19–22 | 46.34% |
| Teberle vs Jin | 9–30 | 23.08% |
| Teberle vs Lili | 13–20 | 39.39% |
| Teberle vs Law | 11–20 | 35.48% |
| Teberle vs Eddy | 10–15 | 40.00% |
| Teberle vs Victor | 4–19 | 17.39% |
| Teberle vs Jun | 12–10 | 54.55% |
| Teberle vs Devil Jin | 8–12 | 40.00% |
| Teberle vs Azucena | 10–10 | 50.00% |
| Teberle vs Lee | 8–11 | 42.11% |
| Teberle vs Nina | 9–8 | 52.94% |
| Teberle vs Yoshimitsu | 11–5 | 68.75% |
| Teberle vs Bryan | 5–11 | 31.25% |
| Teberle vs Jack-8 | 5–11 | 31.25% |
| Teberle vs Asuka | 8–8 | 50.00% |
| Teberle vs Lars | 5–9 | 35.71% |
| Teberle vs Leroy | 5–9 | 35.71% |
| Teberle vs Zafina | 8–5 | 61.54% |
| Teberle vs Clive | 8–4 | 66.67% |
| Teberle vs Xiaoyu | 4–7 | 36.36% |
| Teberle vs Kuma | 5–6 | 45.45% |
| Teberle vs Leo | 8–2 | 80.00% |
| Teberle vs Alisa | 3–7 | 30.00% |
| Teberle vs Claudio | 2–7 | 22.22% |
| Teberle vs Heihachi | 1–8 | 11.11% |
| Teberle vs Paul | 3–5 | 37.50% |
| Teberle vs Feng | 4–4 | 50.00% |
| Teberle vs Shaheen | 3–2 | 60.00% |
| Teberle vs Raven | 1–2 | 33.33% |
| Teberle vs Panda | 0–1 | 0.00% |
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.