| Taichi Suzuki vs Jin | 32–27 | 54.24% |
| Taichi Suzuki vs King | 30–26 | 53.57% |
| Taichi Suzuki vs Clive | 30–10 | 75.00% |
| Taichi Suzuki vs Kazuya | 16–21 | 43.24% |
| Taichi Suzuki vs Bryan | 18–12 | 60.00% |
| Taichi Suzuki vs Lee | 15–13 | 53.57% |
| Taichi Suzuki vs Hwoarang | 17–10 | 62.96% |
| Taichi Suzuki vs Steve | 17–8 | 68.00% |
| Taichi Suzuki vs Reina | 11–13 | 45.83% |
| Taichi Suzuki vs Law | 14–8 | 63.64% |
| Taichi Suzuki vs Jun | 15–7 | 68.18% |
| Taichi Suzuki vs Asuka | 9–12 | 42.86% |
| Taichi Suzuki vs Feng | 11–10 | 52.38% |
| Taichi Suzuki vs Raven | 14–7 | 66.67% |
| Taichi Suzuki vs Lili | 11–9 | 55.00% |
| Taichi Suzuki vs Eddy | 11–9 | 55.00% |
| Taichi Suzuki vs Heihachi | 11–9 | 55.00% |
| Taichi Suzuki vs Victor | 9–10 | 47.37% |
| Taichi Suzuki vs Yoshimitsu | 10–6 | 62.50% |
| Taichi Suzuki vs Dragunov | 7–9 | 43.75% |
| Taichi Suzuki vs Azucena | 10–6 | 62.50% |
| Taichi Suzuki vs Lars | 8–7 | 53.33% |
| Taichi Suzuki vs Leo | 11–3 | 78.57% |
| Taichi Suzuki vs Xiaoyu | 8–5 | 61.54% |
| Taichi Suzuki vs Leroy | 9–3 | 75.00% |
| Taichi Suzuki vs Jack-8 | 6–4 | 60.00% |
| Taichi Suzuki vs Claudio | 7–3 | 70.00% |
| Taichi Suzuki vs Shaheen | 2–8 | 20.00% |
| Taichi Suzuki vs Lidia | 4–6 | 40.00% |
| Taichi Suzuki vs Alisa | 6–3 | 66.67% |
| Taichi Suzuki vs Paul | 5–3 | 62.50% |
| Taichi Suzuki vs Devil Jin | 5–2 | 71.43% |
| Taichi Suzuki vs Kuma | 2–5 | 28.57% |
| Taichi Suzuki vs Zafina | 3–3 | 50.00% |
| Taichi Suzuki vs Nina | 3–2 | 60.00% |
| Taichi Suzuki vs Panda | 4–0 | 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.