| Skrt_Rivals vs Armor King | 18–32 | 36.00% |
| Skrt_Rivals vs Steve | 10–26 | 27.78% |
| Skrt_Rivals vs King | 18–17 | 51.43% |
| Skrt_Rivals vs Jin | 9–18 | 33.33% |
| Skrt_Rivals vs Kazuya | 10–17 | 37.04% |
| Skrt_Rivals vs Reina | 7–12 | 36.84% |
| Skrt_Rivals vs Hwoarang | 5–12 | 29.41% |
| Skrt_Rivals vs Clive | 5–12 | 29.41% |
| Skrt_Rivals vs Dragunov | 3–13 | 18.75% |
| Skrt_Rivals vs Lee | 9–6 | 60.00% |
| Skrt_Rivals vs Victor | 7–8 | 46.67% |
| Skrt_Rivals vs Lars | 3–11 | 21.43% |
| Skrt_Rivals vs Fahkumram | 3–11 | 21.43% |
| Skrt_Rivals vs Xiaoyu | 7–6 | 53.85% |
| Skrt_Rivals vs Lili | 1–12 | 7.69% |
| Skrt_Rivals vs Alisa | 5–8 | 38.46% |
| Skrt_Rivals vs Jun | 5–8 | 38.46% |
| Skrt_Rivals vs Lidia | 4–9 | 30.77% |
| Skrt_Rivals vs Law | 3–9 | 25.00% |
| Skrt_Rivals vs Bryan | 3–9 | 25.00% |
| Skrt_Rivals vs Asuka | 3–8 | 27.27% |
| Skrt_Rivals vs Heihachi | 6–5 | 54.55% |
| Skrt_Rivals vs Panda | 4–6 | 40.00% |
| Skrt_Rivals vs Leroy | 2–8 | 20.00% |
| Skrt_Rivals vs Kuma | 1–8 | 11.11% |
| Skrt_Rivals vs Eddy | 2–7 | 22.22% |
| Skrt_Rivals vs Paul | 3–4 | 42.86% |
| Skrt_Rivals vs Miary Zo | 2–5 | 28.57% |
| Skrt_Rivals vs Feng | 2–4 | 33.33% |
| Skrt_Rivals vs Azucena | 3–3 | 50.00% |
| Skrt_Rivals vs Shaheen | 1–4 | 20.00% |
| Skrt_Rivals vs Raven | 2–3 | 40.00% |
| Skrt_Rivals vs Leo | 0–4 | 0.00% |
| Skrt_Rivals vs Nina | 2–2 | 50.00% |
| Skrt_Rivals vs Zafina | 2–1 | 66.67% |
| Skrt_Rivals vs Yoshimitsu | 0–2 | 0.00% |
| Skrt_Rivals vs Devil Jin | 0–2 | 0.00% |
| Skrt_Rivals vs Jack-8 | 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.