| TTEACH vs Jin | 108–101 | 51.67% |
| TTEACH vs Kazuya | 100–82 | 54.95% |
| TTEACH vs King | 95–84 | 53.07% |
| TTEACH vs Bryan | 63–88 | 41.72% |
| TTEACH vs Dragunov | 62–70 | 46.97% |
| TTEACH vs Law | 73–58 | 55.73% |
| TTEACH vs Hwoarang | 66–59 | 52.80% |
| TTEACH vs Devil Jin | 29–74 | 28.16% |
| TTEACH vs Reina | 49–54 | 47.57% |
| TTEACH vs Paul | 48–46 | 51.06% |
| TTEACH vs Alisa | 38–53 | 41.76% |
| TTEACH vs Lili | 42–43 | 49.41% |
| TTEACH vs Yoshimitsu | 51–33 | 60.71% |
| TTEACH vs Feng | 36–45 | 44.44% |
| TTEACH vs Xiaoyu | 42–34 | 55.26% |
| TTEACH vs Steve | 46–28 | 62.16% |
| TTEACH vs Lee | 27–44 | 38.03% |
| TTEACH vs Victor | 29–42 | 40.85% |
| TTEACH vs Lars | 17–39 | 30.36% |
| TTEACH vs Nina | 26–26 | 50.00% |
| TTEACH vs Jun | 31–19 | 62.00% |
| TTEACH vs Asuka | 20–20 | 50.00% |
| TTEACH vs Azucena | 22–18 | 55.00% |
| TTEACH vs Jack-8 | 18–20 | 47.37% |
| TTEACH vs Heihachi | 13–24 | 35.14% |
| TTEACH vs Eddy | 20–16 | 55.56% |
| TTEACH vs Leroy | 14–21 | 40.00% |
| TTEACH vs Leo | 14–18 | 43.75% |
| TTEACH vs Shaheen | 15–13 | 53.57% |
| TTEACH vs Claudio | 7–12 | 36.84% |
| TTEACH vs Zafina | 12–7 | 63.16% |
| TTEACH vs Kuma | 8–10 | 44.44% |
| TTEACH vs Raven | 5–9 | 35.71% |
| TTEACH vs Lidia | 4–7 | 36.36% |
| TTEACH vs Panda | 2–4 | 33.33% |
| TTEACH vs Fahkumram | 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.