| STG RACKS vs Kazuya | 154–133 | 53.66% |
| STG RACKS vs King | 101–115 | 46.76% |
| STG RACKS vs Jin | 117–84 | 58.21% |
| STG RACKS vs Bryan | 99–102 | 49.25% |
| STG RACKS vs Reina | 97–95 | 50.52% |
| STG RACKS vs Steve | 91–76 | 54.49% |
| STG RACKS vs Law | 75–83 | 47.47% |
| STG RACKS vs Dragunov | 88–69 | 56.05% |
| STG RACKS vs Lidia | 65–69 | 48.51% |
| STG RACKS vs Paul | 67–63 | 51.54% |
| STG RACKS vs Hwoarang | 69–49 | 58.47% |
| STG RACKS vs Lili | 47–71 | 39.83% |
| STG RACKS vs Eddy | 65–52 | 55.56% |
| STG RACKS vs Lars | 66–47 | 58.41% |
| STG RACKS vs Yoshimitsu | 50–61 | 45.05% |
| STG RACKS vs Azucena | 48–50 | 48.98% |
| STG RACKS vs Xiaoyu | 44–53 | 45.36% |
| STG RACKS vs Jun | 48–49 | 49.48% |
| STG RACKS vs Heihachi | 58–35 | 62.37% |
| STG RACKS vs Lee | 46–44 | 51.11% |
| STG RACKS vs Devil Jin | 49–36 | 57.65% |
| STG RACKS vs Victor | 42–43 | 49.41% |
| STG RACKS vs Feng | 40–40 | 50.00% |
| STG RACKS vs Leroy | 38–42 | 47.50% |
| STG RACKS vs Asuka | 33–38 | 46.48% |
| STG RACKS vs Leo | 36–29 | 55.38% |
| STG RACKS vs Nina | 26–39 | 40.00% |
| STG RACKS vs Raven | 29–36 | 44.62% |
| STG RACKS vs Armor King | 31–23 | 57.41% |
| STG RACKS vs Jack-8 | 30–21 | 58.82% |
| STG RACKS vs Clive | 15–26 | 36.59% |
| STG RACKS vs Claudio | 15–25 | 37.50% |
| STG RACKS vs Alisa | 19–17 | 52.78% |
| STG RACKS vs Fahkumram | 20–16 | 55.56% |
| STG RACKS vs Zafina | 21–10 | 67.74% |
| STG RACKS vs Shaheen | 20–7 | 74.07% |
| STG RACKS vs Kuma | 12–15 | 44.44% |
| STG RACKS vs Anna | 11–16 | 40.74% |
| STG RACKS vs Miary Zo | 9–5 | 64.29% |
| STG RACKS vs Panda | 6–6 | 50.00% |
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.