| 1st2move = g4y vs King | 56–55 | 50.45% |
| 1st2move = g4y vs Kazuya | 58–38 | 60.42% |
| 1st2move = g4y vs Jin | 50–37 | 57.47% |
| 1st2move = g4y vs Dragunov | 40–41 | 49.38% |
| 1st2move = g4y vs Bryan | 31–33 | 48.44% |
| 1st2move = g4y vs Hwoarang | 28–32 | 46.67% |
| 1st2move = g4y vs Reina | 33–26 | 55.93% |
| 1st2move = g4y vs Law | 29–29 | 50.00% |
| 1st2move = g4y vs Steve | 31–27 | 53.45% |
| 1st2move = g4y vs Lili | 38–18 | 67.86% |
| 1st2move = g4y vs Yoshimitsu | 25–30 | 45.45% |
| 1st2move = g4y vs Lars | 25–15 | 62.50% |
| 1st2move = g4y vs Paul | 19–19 | 50.00% |
| 1st2move = g4y vs Nina | 25–10 | 71.43% |
| 1st2move = g4y vs Eddy | 25–10 | 71.43% |
| 1st2move = g4y vs Xiaoyu | 17–16 | 51.52% |
| 1st2move = g4y vs Raven | 15–16 | 48.39% |
| 1st2move = g4y vs Asuka | 12–18 | 40.00% |
| 1st2move = g4y vs Lee | 9–18 | 33.33% |
| 1st2move = g4y vs Lidia | 13–14 | 48.15% |
| 1st2move = g4y vs Azucena | 19–7 | 73.08% |
| 1st2move = g4y vs Jun | 14–11 | 56.00% |
| 1st2move = g4y vs Leo | 12–12 | 50.00% |
| 1st2move = g4y vs Kuma | 12–12 | 50.00% |
| 1st2move = g4y vs Victor | 8–16 | 33.33% |
| 1st2move = g4y vs Devil Jin | 15–8 | 65.22% |
| 1st2move = g4y vs Alisa | 7–12 | 36.84% |
| 1st2move = g4y vs Claudio | 11–7 | 61.11% |
| 1st2move = g4y vs Feng | 8–8 | 50.00% |
| 1st2move = g4y vs Jack-8 | 6–7 | 46.15% |
| 1st2move = g4y vs Leroy | 9–2 | 81.82% |
| 1st2move = g4y vs Panda | 6–4 | 60.00% |
| 1st2move = g4y vs Shaheen | 6–3 | 66.67% |
| 1st2move = g4y vs Zafina | 2–3 | 40.00% |
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.