| TwoScoops vs Bryan | 86–102 | 45.74% |
| TwoScoops vs Kazuya | 83–104 | 44.39% |
| TwoScoops vs Jin | 114–68 | 62.64% |
| TwoScoops vs Reina | 82–86 | 48.81% |
| TwoScoops vs King | 93–73 | 56.02% |
| TwoScoops vs Steve | 85–72 | 54.14% |
| TwoScoops vs Hwoarang | 68–79 | 46.26% |
| TwoScoops vs Heihachi | 65–66 | 49.62% |
| TwoScoops vs Law | 59–64 | 47.97% |
| TwoScoops vs Dragunov | 65–56 | 53.72% |
| TwoScoops vs Lars | 50–67 | 42.74% |
| TwoScoops vs Lee | 52–64 | 44.83% |
| TwoScoops vs Paul | 45–56 | 44.55% |
| TwoScoops vs Azucena | 54–45 | 54.55% |
| TwoScoops vs Lili | 39–58 | 40.21% |
| TwoScoops vs Yoshimitsu | 39–57 | 40.62% |
| TwoScoops vs Leo | 40–37 | 51.95% |
| TwoScoops vs Feng | 33–42 | 44.00% |
| TwoScoops vs Xiaoyu | 43–31 | 58.11% |
| TwoScoops vs Asuka | 32–42 | 43.24% |
| TwoScoops vs Victor | 35–38 | 47.95% |
| TwoScoops vs Eddy | 38–30 | 55.88% |
| TwoScoops vs Fahkumram | 28–39 | 41.79% |
| TwoScoops vs Devil Jin | 25–39 | 39.06% |
| TwoScoops vs Nina | 30–31 | 49.18% |
| TwoScoops vs Anna | 35–22 | 61.40% |
| TwoScoops vs Jun | 29–27 | 51.79% |
| TwoScoops vs Lidia | 32–24 | 57.14% |
| TwoScoops vs Raven | 25–30 | 45.45% |
| TwoScoops vs Armor King | 31–23 | 57.41% |
| TwoScoops vs Leroy | 18–30 | 37.50% |
| TwoScoops vs Clive | 23–24 | 48.94% |
| TwoScoops vs Jack-8 | 29–17 | 63.04% |
| TwoScoops vs Miary Zo | 23–22 | 51.11% |
| TwoScoops vs Alisa | 19–22 | 46.34% |
| TwoScoops vs Zafina | 20–20 | 50.00% |
| TwoScoops vs Claudio | 19–17 | 52.78% |
| TwoScoops vs Shaheen | 12–23 | 34.29% |
| TwoScoops vs Kuma | 16–17 | 48.48% |
| TwoScoops vs Panda | 9–7 | 56.25% |
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.