| t@ck_mi vs Dragunov | 34–32 | 51.52% |
| t@ck_mi vs Asuka | 39–19 | 67.24% |
| t@ck_mi vs Reina | 32–24 | 57.14% |
| t@ck_mi vs Hwoarang | 27–27 | 50.00% |
| t@ck_mi vs Bryan | 30–23 | 56.60% |
| t@ck_mi vs Kazuya | 27–23 | 54.00% |
| t@ck_mi vs Law | 24–23 | 51.06% |
| t@ck_mi vs Victor | 19–26 | 42.22% |
| t@ck_mi vs Jin | 23–21 | 52.27% |
| t@ck_mi vs Steve | 25–19 | 56.82% |
| t@ck_mi vs Lili | 24–19 | 55.81% |
| t@ck_mi vs King | 25–17 | 59.52% |
| t@ck_mi vs Yoshimitsu | 10–25 | 28.57% |
| t@ck_mi vs Jun | 28–6 | 82.35% |
| t@ck_mi vs Nina | 15–18 | 45.45% |
| t@ck_mi vs Lee | 15–17 | 46.88% |
| t@ck_mi vs Jack-8 | 18–13 | 58.06% |
| t@ck_mi vs Azucena | 21–10 | 67.74% |
| t@ck_mi vs Paul | 17–11 | 60.71% |
| t@ck_mi vs Alisa | 14–14 | 50.00% |
| t@ck_mi vs Claudio | 9–18 | 33.33% |
| t@ck_mi vs Eddy | 9–18 | 33.33% |
| t@ck_mi vs Feng | 7–19 | 26.92% |
| t@ck_mi vs Leo | 18–8 | 69.23% |
| t@ck_mi vs Leroy | 7–18 | 28.00% |
| t@ck_mi vs Raven | 6–19 | 24.00% |
| t@ck_mi vs Xiaoyu | 15–9 | 62.50% |
| t@ck_mi vs Kuma | 13–11 | 54.17% |
| t@ck_mi vs Devil Jin | 11–11 | 50.00% |
| t@ck_mi vs Shaheen | 14–8 | 63.64% |
| t@ck_mi vs Zafina | 8–7 | 53.33% |
| t@ck_mi vs Lars | 6–6 | 50.00% |
| t@ck_mi vs Clive | 4–8 | 33.33% |
| t@ck_mi vs Lidia | 1–6 | 14.29% |
| t@ck_mi vs Heihachi | 1–3 | 25.00% |
| t@ck_mi vs Panda | 2–1 | 66.67% |
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.