| TwerkMasterGoku vs Kazuya | 23–27 | 46.00% |
| TwerkMasterGoku vs King | 15–28 | 34.88% |
| TwerkMasterGoku vs Jin | 12–29 | 29.27% |
| TwerkMasterGoku vs Law | 16–23 | 41.03% |
| TwerkMasterGoku vs Reina | 15–24 | 38.46% |
| TwerkMasterGoku vs Steve | 17–19 | 47.22% |
| TwerkMasterGoku vs Heihachi | 6–22 | 21.43% |
| TwerkMasterGoku vs Dragunov | 16–11 | 59.26% |
| TwerkMasterGoku vs Lidia | 15–10 | 60.00% |
| TwerkMasterGoku vs Hwoarang | 9–14 | 39.13% |
| TwerkMasterGoku vs Lili | 8–14 | 36.36% |
| TwerkMasterGoku vs Lee | 8–14 | 36.36% |
| TwerkMasterGoku vs Jun | 11–11 | 50.00% |
| TwerkMasterGoku vs Bryan | 13–8 | 61.90% |
| TwerkMasterGoku vs Azucena | 10–11 | 47.62% |
| TwerkMasterGoku vs Asuka | 12–8 | 60.00% |
| TwerkMasterGoku vs Leroy | 12–7 | 63.16% |
| TwerkMasterGoku vs Yoshimitsu | 11–7 | 61.11% |
| TwerkMasterGoku vs Lars | 4–13 | 23.53% |
| TwerkMasterGoku vs Victor | 9–8 | 52.94% |
| TwerkMasterGoku vs Feng | 7–7 | 50.00% |
| TwerkMasterGoku vs Raven | 7–7 | 50.00% |
| TwerkMasterGoku vs Clive | 4–10 | 28.57% |
| TwerkMasterGoku vs Leo | 8–5 | 61.54% |
| TwerkMasterGoku vs Jack-8 | 3–7 | 30.00% |
| TwerkMasterGoku vs Nina | 5–5 | 50.00% |
| TwerkMasterGoku vs Paul | 3–6 | 33.33% |
| TwerkMasterGoku vs Xiaoyu | 4–5 | 44.44% |
| TwerkMasterGoku vs Alisa | 5–4 | 55.56% |
| TwerkMasterGoku vs Shaheen | 6–3 | 66.67% |
| TwerkMasterGoku vs Eddy | 4–2 | 66.67% |
| TwerkMasterGoku vs Devil Jin | 1–4 | 20.00% |
| TwerkMasterGoku vs Claudio | 0–4 | 0.00% |
| TwerkMasterGoku vs Zafina | 4–0 | 100.00% |
| TwerkMasterGoku vs Kuma | 0–2 | 0.00% |
| TwerkMasterGoku vs Panda | 0–1 | 0.00% |
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.