Name history
| Tadzhik | |
| hs = GOOOL | |
| enjoyer | |
| OA_TadzhiK | |
| ImNTGNSGRIT | |
| terpila | |
| pewgf enjoyer | |
| pewgf D- | |
| D2G_Tazik |
| Tadzhik vs Jin | 189–166 | 53.24% |
| Tadzhik vs Hwoarang | 189–129 | 59.43% |
| Tadzhik vs Kazuya | 158–116 | 57.66% |
| Tadzhik vs Bryan | 138–119 | 53.70% |
| Tadzhik vs Devil Jin | 137–115 | 54.37% |
| Tadzhik vs King | 125–102 | 55.07% |
| Tadzhik vs Lee | 108–118 | 47.79% |
| Tadzhik vs Paul | 102–115 | 47.00% |
| Tadzhik vs Dragunov | 103–112 | 47.91% |
| Tadzhik vs Reina | 125–72 | 63.45% |
| Tadzhik vs Yoshimitsu | 108–82 | 56.84% |
| Tadzhik vs Heihachi | 91–72 | 55.83% |
| Tadzhik vs Steve | 80–70 | 53.33% |
| Tadzhik vs Jun | 79–57 | 58.09% |
| Tadzhik vs Lili | 56–73 | 43.41% |
| Tadzhik vs Asuka | 52–61 | 46.02% |
| Tadzhik vs Leo | 56–54 | 50.91% |
| Tadzhik vs Law | 51–56 | 47.66% |
| Tadzhik vs Azucena | 61–44 | 58.10% |
| Tadzhik vs Claudio | 49–48 | 50.52% |
| Tadzhik vs Victor | 53–42 | 55.79% |
| Tadzhik vs Zafina | 44–50 | 46.81% |
| Tadzhik vs Lars | 50–40 | 55.56% |
| Tadzhik vs Feng | 44–45 | 49.44% |
| Tadzhik vs Alisa | 38–43 | 46.91% |
| Tadzhik vs Jack-8 | 40–39 | 50.63% |
| Tadzhik vs Nina | 26–53 | 32.91% |
| Tadzhik vs Leroy | 35–35 | 50.00% |
| Tadzhik vs Lidia | 33–37 | 47.14% |
| Tadzhik vs Eddy | 22–33 | 40.00% |
| Tadzhik vs Clive | 27–27 | 50.00% |
| Tadzhik vs Raven | 24–23 | 51.06% |
| Tadzhik vs Xiaoyu | 23–17 | 57.50% |
| Tadzhik vs Shaheen | 16–22 | 42.11% |
| Tadzhik vs Kuma | 11–24 | 31.43% |
| Tadzhik vs Panda | 1–0 | 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.