| ShmelTebyaLubit vs Jin | 39–38 | 50.65% |
| ShmelTebyaLubit vs Reina | 44–26 | 62.86% |
| ShmelTebyaLubit vs Kazuya | 29–33 | 46.77% |
| ShmelTebyaLubit vs Bryan | 27–33 | 45.00% |
| ShmelTebyaLubit vs King | 29–28 | 50.88% |
| ShmelTebyaLubit vs Law | 17–36 | 32.08% |
| ShmelTebyaLubit vs Hwoarang | 21–29 | 42.00% |
| ShmelTebyaLubit vs Lili | 21–25 | 45.65% |
| ShmelTebyaLubit vs Steve | 17–22 | 43.59% |
| ShmelTebyaLubit vs Jun | 19–15 | 55.88% |
| ShmelTebyaLubit vs Dragunov | 15–17 | 46.88% |
| ShmelTebyaLubit vs Azucena | 11–18 | 37.93% |
| ShmelTebyaLubit vs Yoshimitsu | 19–8 | 70.37% |
| ShmelTebyaLubit vs Heihachi | 8–18 | 30.77% |
| ShmelTebyaLubit vs Alisa | 12–13 | 48.00% |
| ShmelTebyaLubit vs Eddy | 11–14 | 44.00% |
| ShmelTebyaLubit vs Paul | 10–12 | 45.45% |
| ShmelTebyaLubit vs Nina | 7–15 | 31.82% |
| ShmelTebyaLubit vs Devil Jin | 8–11 | 42.11% |
| ShmelTebyaLubit vs Asuka | 10–8 | 55.56% |
| ShmelTebyaLubit vs Lee | 7–11 | 38.89% |
| ShmelTebyaLubit vs Lars | 6–11 | 35.29% |
| ShmelTebyaLubit vs Lidia | 8–7 | 53.33% |
| ShmelTebyaLubit vs Leroy | 12–2 | 85.71% |
| ShmelTebyaLubit vs Victor | 4–10 | 28.57% |
| ShmelTebyaLubit vs Leo | 6–7 | 46.15% |
| ShmelTebyaLubit vs Claudio | 4–9 | 30.77% |
| ShmelTebyaLubit vs Xiaoyu | 9–2 | 81.82% |
| ShmelTebyaLubit vs Kuma | 5–6 | 45.45% |
| ShmelTebyaLubit vs Clive | 8–2 | 80.00% |
| ShmelTebyaLubit vs Feng | 2–6 | 25.00% |
| ShmelTebyaLubit vs Jack-8 | 1–3 | 25.00% |
| ShmelTebyaLubit vs Shaheen | 2–2 | 50.00% |
| ShmelTebyaLubit vs Zafina | 0–4 | 0.00% |
| ShmelTebyaLubit vs Raven | 0–3 | 0.00% |
| ShmelTebyaLubit 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.