| shyhatesjc vs Jin | 40–36 | 52.63% |
| shyhatesjc vs Bryan | 28–43 | 39.44% |
| shyhatesjc vs Kazuya | 32–31 | 50.79% |
| shyhatesjc vs Paul | 26–25 | 50.98% |
| shyhatesjc vs Steve | 21–29 | 42.00% |
| shyhatesjc vs Dragunov | 21–27 | 43.75% |
| shyhatesjc vs King | 22–22 | 50.00% |
| shyhatesjc vs Azucena | 16–26 | 38.10% |
| shyhatesjc vs Reina | 18–23 | 43.90% |
| shyhatesjc vs Yoshimitsu | 18–18 | 50.00% |
| shyhatesjc vs Hwoarang | 17–8 | 68.00% |
| shyhatesjc vs Devil Jin | 10–13 | 43.48% |
| shyhatesjc vs Lars | 13–10 | 56.52% |
| shyhatesjc vs Law | 8–13 | 38.10% |
| shyhatesjc vs Alisa | 13–8 | 61.90% |
| shyhatesjc vs Lee | 5–16 | 23.81% |
| shyhatesjc vs Nina | 10–9 | 52.63% |
| shyhatesjc vs Lili | 6–11 | 35.29% |
| shyhatesjc vs Jun | 9–8 | 52.94% |
| shyhatesjc vs Kuma | 6–10 | 37.50% |
| shyhatesjc vs Eddy | 7–9 | 43.75% |
| shyhatesjc vs Victor | 9–5 | 64.29% |
| shyhatesjc vs Asuka | 4–9 | 30.77% |
| shyhatesjc vs Xiaoyu | 4–6 | 40.00% |
| shyhatesjc vs Leo | 5–5 | 50.00% |
| shyhatesjc vs Claudio | 6–4 | 60.00% |
| shyhatesjc vs Feng | 3–6 | 33.33% |
| shyhatesjc vs Zafina | 4–4 | 50.00% |
| shyhatesjc vs Raven | 4–3 | 57.14% |
| shyhatesjc vs Jack-8 | 1–5 | 16.67% |
| shyhatesjc vs Shaheen | 2–2 | 50.00% |
| shyhatesjc vs Leroy | 0–2 | 0.00% |
| shyhatesjc vs Heihachi | 2–0 | 100.00% |
| shyhatesjc vs Panda | 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.