| Guns_Go_PewPew vs King | 9–13 | 40.91% |
| Guns_Go_PewPew vs Reina | 6–16 | 27.27% |
| Guns_Go_PewPew vs Hwoarang | 9–12 | 42.86% |
| Guns_Go_PewPew vs Jin | 7–13 | 35.00% |
| Guns_Go_PewPew vs Dragunov | 8–9 | 47.06% |
| Guns_Go_PewPew vs Steve | 5–11 | 31.25% |
| Guns_Go_PewPew vs Kazuya | 6–7 | 46.15% |
| Guns_Go_PewPew vs Law | 4–8 | 33.33% |
| Guns_Go_PewPew vs Yoshimitsu | 4–8 | 33.33% |
| Guns_Go_PewPew vs Devil Jin | 5–4 | 55.56% |
| Guns_Go_PewPew vs Lars | 1–6 | 14.29% |
| Guns_Go_PewPew vs Claudio | 4–3 | 57.14% |
| Guns_Go_PewPew vs Lili | 4–2 | 66.67% |
| Guns_Go_PewPew vs Lee | 0–6 | 0.00% |
| Guns_Go_PewPew vs Lidia | 3–3 | 50.00% |
| Guns_Go_PewPew vs Bryan | 1–4 | 20.00% |
| Guns_Go_PewPew vs Jack-8 | 3–2 | 60.00% |
| Guns_Go_PewPew vs Leo | 1–4 | 20.00% |
| Guns_Go_PewPew vs Nina | 0–5 | 0.00% |
| Guns_Go_PewPew vs Victor | 2–3 | 40.00% |
| Guns_Go_PewPew vs Feng | 0–4 | 0.00% |
| Guns_Go_PewPew vs Leroy | 2–2 | 50.00% |
| Guns_Go_PewPew vs Shaheen | 3–0 | 100.00% |
| Guns_Go_PewPew vs Paul | 2–0 | 100.00% |
| Guns_Go_PewPew vs Xiaoyu | 2–0 | 100.00% |
| Guns_Go_PewPew vs Azucena | 2–0 | 100.00% |
| Guns_Go_PewPew vs Raven | 0–2 | 0.00% |
| Guns_Go_PewPew vs Eddy | 0–2 | 0.00% |
| Guns_Go_PewPew vs Asuka | 0–1 | 0.00% |
| Guns_Go_PewPew vs Jun | 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.