| tacchan-chair vs Dragunov | 65–65 | 50.00% |
| tacchan-chair vs Kazuya | 67–59 | 53.17% |
| tacchan-chair vs Bryan | 72–49 | 59.50% |
| tacchan-chair vs Jin | 55–65 | 45.83% |
| tacchan-chair vs Paul | 65–50 | 56.52% |
| tacchan-chair vs Lidia | 58–48 | 54.72% |
| tacchan-chair vs Asuka | 56–43 | 56.57% |
| tacchan-chair vs Steve | 50–48 | 51.02% |
| tacchan-chair vs Hwoarang | 42–46 | 47.73% |
| tacchan-chair vs King | 53–34 | 60.92% |
| tacchan-chair vs Victor | 40–46 | 46.51% |
| tacchan-chair vs Lili | 45–33 | 57.69% |
| tacchan-chair vs Law | 40–32 | 55.56% |
| tacchan-chair vs Reina | 34–37 | 47.89% |
| tacchan-chair vs Jack-8 | 32–34 | 48.48% |
| tacchan-chair vs Devil Jin | 42–23 | 64.62% |
| tacchan-chair vs Xiaoyu | 37–20 | 64.91% |
| tacchan-chair vs Lars | 23–31 | 42.59% |
| tacchan-chair vs Alisa | 30–24 | 55.56% |
| tacchan-chair vs Lee | 32–22 | 59.26% |
| tacchan-chair vs Jun | 25–25 | 50.00% |
| tacchan-chair vs Yoshimitsu | 28–21 | 57.14% |
| tacchan-chair vs Nina | 31–18 | 63.27% |
| tacchan-chair vs Heihachi | 22–27 | 44.90% |
| tacchan-chair vs Shaheen | 31–16 | 65.96% |
| tacchan-chair vs Feng | 19–27 | 41.30% |
| tacchan-chair vs Claudio | 20–26 | 43.48% |
| tacchan-chair vs Leo | 26–19 | 57.78% |
| tacchan-chair vs Zafina | 18–24 | 42.86% |
| tacchan-chair vs Leroy | 19–18 | 51.35% |
| tacchan-chair vs Azucena | 10–22 | 31.25% |
| tacchan-chair vs Raven | 11–20 | 35.48% |
| tacchan-chair vs Eddy | 15–16 | 48.39% |
| tacchan-chair vs Kuma | 9–17 | 34.62% |
| tacchan-chair vs Anna | 15–11 | 57.69% |
| tacchan-chair vs Clive | 9–6 | 60.00% |
| tacchan-chair vs Fahkumram | 8–6 | 57.14% |
| tacchan-chair vs Panda | 2–5 | 28.57% |
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.