| tx_tofu vs Kazuya | 94–68 | 58.02% |
| tx_tofu vs Bryan | 91–63 | 59.09% |
| tx_tofu vs Reina | 69–48 | 58.97% |
| tx_tofu vs King | 63–42 | 60.00% |
| tx_tofu vs Jin | 46–47 | 49.46% |
| tx_tofu vs Steve | 39–53 | 42.39% |
| tx_tofu vs Hwoarang | 46–44 | 51.11% |
| tx_tofu vs Paul | 48–38 | 55.81% |
| tx_tofu vs Dragunov | 45–38 | 54.22% |
| tx_tofu vs Azucena | 40–37 | 51.95% |
| tx_tofu vs Lili | 35–39 | 47.30% |
| tx_tofu vs Lee | 43–31 | 58.11% |
| tx_tofu vs Eddy | 42–31 | 57.53% |
| tx_tofu vs Law | 41–29 | 58.57% |
| tx_tofu vs Devil Jin | 30–36 | 45.45% |
| tx_tofu vs Jun | 43–22 | 66.15% |
| tx_tofu vs Lars | 29–32–1 | 47.54% |
| tx_tofu vs Feng | 29–30 | 49.15% |
| tx_tofu vs Yoshimitsu | 37–20 | 64.91% |
| tx_tofu vs Leo | 28–27 | 50.91% |
| tx_tofu vs Lidia | 28–22 | 56.00% |
| tx_tofu vs Xiaoyu | 30–19 | 61.22% |
| tx_tofu vs Nina | 28–19 | 59.57% |
| tx_tofu vs Zafina | 21–23 | 47.73% |
| tx_tofu vs Asuka | 29–12 | 70.73% |
| tx_tofu vs Victor | 18–22 | 45.00% |
| tx_tofu vs Shaheen | 17–21 | 44.74% |
| tx_tofu vs Leroy | 26–12 | 68.42% |
| tx_tofu vs Claudio | 15–22 | 40.54% |
| tx_tofu vs Alisa | 16–16 | 50.00% |
| tx_tofu vs Raven | 12–20 | 37.50% |
| tx_tofu vs Heihachi | 18–14 | 56.25% |
| tx_tofu vs Armor King | 25–6 | 80.65% |
| tx_tofu vs Jack-8 | 15–12 | 55.56% |
| tx_tofu vs Kuma | 15–11 | 57.69% |
| tx_tofu vs Clive | 8–10 | 44.44% |
| tx_tofu vs Panda | 7–8 | 46.67% |
| tx_tofu vs Anna | 7–6 | 53.85% |
| tx_tofu vs Miary Zo | 6–3 | 66.67% |
| tx_tofu vs Fahkumram | 3–3 | 50.00% |
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.