Name history
| TacocaT | |
| Cool beans | |
| Drunk Boy | |
| Maktub | |
| DRK_MAN | |
| Dinklebamf | |
| Drinking Boy | |
| DRUNK_ATM | |
| Ratatata! | |
| (-.-) | |
| Dorya Wannabe | |
| ÆTHEL | |
| Sleep -.- | |
| DRUNK BOY |
| TacocaT vs King | 37–22 | 62.71% |
| TacocaT vs Kazuya | 33–25 | 56.90% |
| TacocaT vs Bryan | 23–20 | 53.49% |
| TacocaT vs Reina | 25–17 | 59.52% |
| TacocaT vs Law | 26–13 | 66.67% |
| TacocaT vs Jin | 22–17 | 56.41% |
| TacocaT vs Steve | 18–19 | 48.65% |
| TacocaT vs Dragunov | 19–16 | 54.29% |
| TacocaT vs Yoshimitsu | 17–12 | 58.62% |
| TacocaT vs Eddy | 13–11 | 54.17% |
| TacocaT vs Lili | 15–7 | 68.18% |
| TacocaT vs Devil Jin | 15–6 | 71.43% |
| TacocaT vs Asuka | 11–7 | 61.11% |
| TacocaT vs Paul | 12–5 | 70.59% |
| TacocaT vs Hwoarang | 8–7 | 53.33% |
| TacocaT vs Lars | 9–6 | 60.00% |
| TacocaT vs Azucena | 6–8 | 42.86% |
| TacocaT vs Victor | 7–7 | 50.00% |
| TacocaT vs Heihachi | 6–8 | 42.86% |
| TacocaT vs Xiaoyu | 4–9 | 30.77% |
| TacocaT vs Kuma | 4–9 | 30.77% |
| TacocaT vs Leroy | 6–7 | 46.15% |
| TacocaT vs Raven | 5–8 | 38.46% |
| TacocaT vs Feng | 8–4 | 66.67% |
| TacocaT vs Claudio | 5–6 | 45.45% |
| TacocaT vs Alisa | 5–5 | 50.00% |
| TacocaT vs Nina | 6–4 | 60.00% |
| TacocaT vs Zafina | 5–4 | 55.56% |
| TacocaT vs Jun | 4–5 | 44.44% |
| TacocaT vs Clive | 4–5 | 44.44% |
| TacocaT vs Lee | 4–4 | 50.00% |
| TacocaT vs Leo | 3–4 | 42.86% |
| TacocaT vs Jack-8 | 2–3 | 40.00% |
| TacocaT vs Lidia | 1–4 | 20.00% |
| TacocaT vs Shaheen | 2–2 | 50.00% |
| TacocaT vs Panda | 4–0 | 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.