| Tujiba vs Kazuya | 89–74 | 54.60% |
| Tujiba vs Jin | 92–69 | 57.14% |
| Tujiba vs Dragunov | 51–67 | 43.22% |
| Tujiba vs Reina | 56–53 | 51.38% |
| Tujiba vs King | 47–55 | 46.08% |
| Tujiba vs Hwoarang | 39–41 | 48.75% |
| Tujiba vs Bryan | 30–49 | 37.97% |
| Tujiba vs Yoshimitsu | 35–40 | 46.67% |
| Tujiba vs Steve | 43–30 | 58.90% |
| Tujiba vs Law | 39–33 | 54.17% |
| Tujiba vs Paul | 32–30 | 51.61% |
| Tujiba vs Lili | 29–33 | 46.77% |
| Tujiba vs Victor | 32–30 | 51.61% |
| Tujiba vs Heihachi | 22–36 | 37.93% |
| Tujiba vs Devil Jin | 20–36 | 35.71% |
| Tujiba vs Jun | 18–37 | 32.73% |
| Tujiba vs Asuka | 21–31 | 40.38% |
| Tujiba vs Lidia | 26–20 | 56.52% |
| Tujiba vs Lars | 20–25 | 44.44% |
| Tujiba vs Alisa | 19–23 | 45.24% |
| Tujiba vs Claudio | 13–28 | 31.71% |
| Tujiba vs Lee | 22–19 | 53.66% |
| Tujiba vs Eddy | 12–24 | 33.33% |
| Tujiba vs Azucena | 13–22 | 37.14% |
| Tujiba vs Xiaoyu | 16–18 | 47.06% |
| Tujiba vs Nina | 8–21 | 27.59% |
| Tujiba vs Leroy | 14–13 | 51.85% |
| Tujiba vs Feng | 11–14 | 44.00% |
| Tujiba vs Leo | 11–12 | 47.83% |
| Tujiba vs Shaheen | 10–11 | 47.62% |
| Tujiba vs Raven | 7–13 | 35.00% |
| Tujiba vs Kuma | 7–10 | 41.18% |
| Tujiba vs Zafina | 6–11 | 35.29% |
| Tujiba vs Jack-8 | 4–12 | 25.00% |
| Tujiba vs Panda | 0–3 | 0.00% |
| Tujiba vs Clive | 1–2 | 33.33% |
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.