| GusT4v0 vs Kazuya | 227–203 | 52.79% |
| GusT4v0 vs King | 160–169 | 48.63% |
| GusT4v0 vs Jin | 160–147 | 52.12% |
| GusT4v0 vs Reina | 129–130 | 49.81% |
| GusT4v0 vs Bryan | 114–122 | 48.31% |
| GusT4v0 vs Law | 98–104 | 48.51% |
| GusT4v0 vs Steve | 111–89 | 55.50% |
| GusT4v0 vs Dragunov | 91–81 | 52.91% |
| GusT4v0 vs Hwoarang | 75–96 | 43.86% |
| GusT4v0 vs Eddy | 85–81 | 51.20% |
| GusT4v0 vs Heihachi | 70–87 | 44.59% |
| GusT4v0 vs Lili | 87–58 | 60.00% |
| GusT4v0 vs Paul | 55–76 | 41.98% |
| GusT4v0 vs Nina | 59–60 | 49.58% |
| GusT4v0 vs Azucena | 68–44 | 60.71% |
| GusT4v0 vs Xiaoyu | 63–47 | 57.27% |
| GusT4v0 vs Asuka | 71–37 | 65.74% |
| GusT4v0 vs Lee | 39–65 | 37.50% |
| GusT4v0 vs Devil Jin | 51–48 | 51.52% |
| GusT4v0 vs Lars | 41–58 | 41.41% |
| GusT4v0 vs Jun | 45–50 | 47.37% |
| GusT4v0 vs Feng | 47–47 | 50.00% |
| GusT4v0 vs Yoshimitsu | 47–44 | 51.65% |
| GusT4v0 vs Lidia | 47–33 | 58.75% |
| GusT4v0 vs Fahkumram | 27–50 | 35.06% |
| GusT4v0 vs Anna | 46–29 | 61.33% |
| GusT4v0 vs Victor | 34–35 | 49.28% |
| GusT4v0 vs Jack-8 | 34–34 | 50.00% |
| GusT4v0 vs Alisa | 34–29 | 53.97% |
| GusT4v0 vs Claudio | 22–40 | 35.48% |
| GusT4v0 vs Leroy | 33–27 | 55.00% |
| GusT4v0 vs Leo | 25–34 | 42.37% |
| GusT4v0 vs Clive | 31–25 | 55.36% |
| GusT4v0 vs Zafina | 26–27 | 49.06% |
| GusT4v0 vs Raven | 24–28 | 46.15% |
| GusT4v0 vs Armor King | 24–24 | 50.00% |
| GusT4v0 vs Shaheen | 17–19 | 47.22% |
| GusT4v0 vs Kuma | 8–21 | 27.59% |
| GusT4v0 vs Miary Zo | 12–14 | 46.15% |
| GusT4v0 vs Panda | 4–8 | 33.33% |
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.