| Frigis vs Jin | 63–66 | 48.84% |
| Frigis vs Kazuya | 60–59 | 50.42% |
| Frigis vs Reina | 59–57 | 50.86% |
| Frigis vs Dragunov | 54–59 | 47.79% |
| Frigis vs King | 35–51 | 40.70% |
| Frigis vs Steve | 39–42 | 48.15% |
| Frigis vs Lili | 37–44 | 45.68% |
| Frigis vs Bryan | 34–38 | 47.22% |
| Frigis vs Victor | 33–25 | 56.90% |
| Frigis vs Hwoarang | 22–34 | 39.29% |
| Frigis vs Xiaoyu | 20–29 | 40.82% |
| Frigis vs Yoshimitsu | 18–29 | 38.30% |
| Frigis vs Heihachi | 18–29 | 38.30% |
| Frigis vs Lars | 23–22 | 51.11% |
| Frigis vs Paul | 16–28 | 36.36% |
| Frigis vs Law | 20–22 | 47.62% |
| Frigis vs Lee | 15–27 | 35.71% |
| Frigis vs Azucena | 17–23 | 42.50% |
| Frigis vs Jun | 17–22 | 43.59% |
| Frigis vs Devil Jin | 20–17 | 54.05% |
| Frigis vs Asuka | 17–18 | 48.57% |
| Frigis vs Leo | 17–17 | 50.00% |
| Frigis vs Clive | 11–17 | 39.29% |
| Frigis vs Alisa | 12–15 | 44.44% |
| Frigis vs Nina | 12–13 | 48.00% |
| Frigis vs Feng | 10–11 | 47.62% |
| Frigis vs Kuma | 9–12 | 42.86% |
| Frigis vs Eddy | 5–15 | 25.00% |
| Frigis vs Shaheen | 5–13 | 27.78% |
| Frigis vs Claudio | 12–5 | 70.59% |
| Frigis vs Zafina | 5–11 | 31.25% |
| Frigis vs Jack-8 | 8–5 | 61.54% |
| Frigis vs Leroy | 6–6 | 50.00% |
| Frigis vs Raven | 2–9 | 18.18% |
| Frigis vs Lidia | 2–8 | 20.00% |
| Frigis vs Panda | 1–0 | 100.00% |
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.