| Shayski vs Kazuya | 28–24 | 53.85% |
| Shayski vs Hwoarang | 19–23 | 45.24% |
| Shayski vs Bryan | 21–20 | 51.22% |
| Shayski vs Jin | 21–10 | 67.74% |
| Shayski vs King | 17–13 | 56.67% |
| Shayski vs Reina | 10–17 | 37.04% |
| Shayski vs Xiaoyu | 14–10 | 58.33% |
| Shayski vs Law | 11–12 | 47.83% |
| Shayski vs Dragunov | 10–13 | 43.48% |
| Shayski vs Feng | 8–10 | 44.44% |
| Shayski vs Paul | 6–11 | 35.29% |
| Shayski vs Lee | 7–9 | 43.75% |
| Shayski vs Azucena | 6–10 | 37.50% |
| Shayski vs Jun | 7–8 | 46.67% |
| Shayski vs Steve | 10–4 | 71.43% |
| Shayski vs Raven | 7–7 | 50.00% |
| Shayski vs Victor | 7–6 | 53.85% |
| Shayski vs Asuka | 4–8 | 33.33% |
| Shayski vs Alisa | 4–8 | 33.33% |
| Shayski vs Devil Jin | 6–5 | 54.55% |
| Shayski vs Eddy | 2–8 | 20.00% |
| Shayski vs Yoshimitsu | 4–4 | 50.00% |
| Shayski vs Lili | 6–2 | 75.00% |
| Shayski vs Jack-8 | 4–3 | 57.14% |
| Shayski vs Nina | 5–2 | 71.43% |
| Shayski vs Heihachi | 1–5 | 16.67% |
| Shayski vs Claudio | 3–2 | 60.00% |
| Shayski vs Zafina | 1–3 | 25.00% |
| Shayski vs Lidia | 2–2 | 50.00% |
| Shayski vs Anna | 2–2 | 50.00% |
| Shayski vs Shaheen | 3–0 | 100.00% |
| Shayski vs Kuma | 0–3 | 0.00% |
| Shayski vs Leroy | 1–2 | 33.33% |
| Shayski vs Clive | 1–2 | 33.33% |
| Shayski vs Lars | 2–0 | 100.00% |
| Shayski vs Panda | 0–2 | 0.00% |
| Shayski vs Leo | 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.