| GokuFlash vs Kazuya | 178–128 | 58.17% |
| GokuFlash vs Jin | 132–132 | 50.00% |
| GokuFlash vs Bryan | 130–120 | 52.00% |
| GokuFlash vs King | 106–94 | 53.00% |
| GokuFlash vs Heihachi | 103–93 | 52.55% |
| GokuFlash vs Reina | 81–90 | 47.37% |
| GokuFlash vs Hwoarang | 80–84 | 48.78% |
| GokuFlash vs Paul | 64–94 | 40.51% |
| GokuFlash vs Dragunov | 87–64 | 57.62% |
| GokuFlash vs Law | 76–71 | 51.70% |
| GokuFlash vs Steve | 73–71 | 50.69% |
| GokuFlash vs Lili | 69–59 | 53.91% |
| GokuFlash vs Yoshimitsu | 58–62 | 48.33% |
| GokuFlash vs Lee | 64–51 | 55.65% |
| GokuFlash vs Armor King | 54–51 | 51.43% |
| GokuFlash vs Feng | 50–49 | 50.51% |
| GokuFlash vs Alisa | 39–50 | 43.82% |
| GokuFlash vs Asuka | 39–35 | 52.70% |
| GokuFlash vs Jun | 25–46 | 35.21% |
| GokuFlash vs Azucena | 24–46 | 34.29% |
| GokuFlash vs Xiaoyu | 31–38 | 44.93% |
| GokuFlash vs Devil Jin | 31–36 | 46.27% |
| GokuFlash vs Eddy | 32–35 | 47.76% |
| GokuFlash vs Lars | 28–36 | 43.75% |
| GokuFlash vs Leo | 31–32 | 49.21% |
| GokuFlash vs Lidia | 19–40 | 32.20% |
| GokuFlash vs Raven | 20–35 | 36.36% |
| GokuFlash vs Nina | 23–29 | 44.23% |
| GokuFlash vs Jack-8 | 21–28 | 42.86% |
| GokuFlash vs Claudio | 16–32 | 33.33% |
| GokuFlash vs Victor | 27–21 | 56.25% |
| GokuFlash vs Fahkumram | 24–23 | 51.06% |
| GokuFlash vs Clive | 19–22 | 46.34% |
| GokuFlash vs Anna | 14–25 | 35.90% |
| GokuFlash vs Leroy | 13–19 | 40.62% |
| GokuFlash vs Shaheen | 14–7 | 66.67% |
| GokuFlash vs Zafina | 7–14 | 33.33% |
| GokuFlash vs Kuma | 5–14 | 26.32% |
| GokuFlash vs Panda | 6–6 | 50.00% |
| GokuFlash vs Miary Zo | 4–5 | 44.44% |
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.