| Frixiecs vs Heihachi | 83–69 | 54.61% |
| Frixiecs vs Kazuya | 47–44 | 51.65% |
| Frixiecs vs Steve | 46–38 | 54.76% |
| Frixiecs vs King | 42–37 | 53.16% |
| Frixiecs vs Jin | 33–30 | 52.38% |
| Frixiecs vs Dragunov | 28–33 | 45.90% |
| Frixiecs vs Reina | 28–32 | 46.67% |
| Frixiecs vs Bryan | 29–25 | 53.70% |
| Frixiecs vs Law | 28–24 | 53.85% |
| Frixiecs vs Jun | 23–24 | 48.94% |
| Frixiecs vs Yoshimitsu | 25–18 | 58.14% |
| Frixiecs vs Asuka | 21–20 | 51.22% |
| Frixiecs vs Victor | 24–17 | 58.54% |
| Frixiecs vs Azucena | 20–17 | 54.05% |
| Frixiecs vs Hwoarang | 17–18 | 48.57% |
| Frixiecs vs Paul | 12–21 | 36.36% |
| Frixiecs vs Devil Jin | 11–20 | 35.48% |
| Frixiecs vs Lidia | 22–9 | 70.97% |
| Frixiecs vs Lili | 14–16 | 46.67% |
| Frixiecs vs Lee | 11–19 | 36.67% |
| Frixiecs vs Xiaoyu | 16–10 | 61.54% |
| Frixiecs vs Lars | 13–10 | 56.52% |
| Frixiecs vs Leo | 8–14 | 36.36% |
| Frixiecs vs Nina | 10–11 | 47.62% |
| Frixiecs vs Eddy | 12–8 | 60.00% |
| Frixiecs vs Jack-8 | 9–10 | 47.37% |
| Frixiecs vs Zafina | 10–9 | 52.63% |
| Frixiecs vs Raven | 7–11 | 38.89% |
| Frixiecs vs Kuma | 10–7 | 58.82% |
| Frixiecs vs Alisa | 7–9 | 43.75% |
| Frixiecs vs Claudio | 9–6 | 60.00% |
| Frixiecs vs Feng | 7–7 | 50.00% |
| Frixiecs vs Shaheen | 6–8 | 42.86% |
| Frixiecs vs Clive | 7–5 | 58.33% |
| Frixiecs vs Panda | 6–5 | 54.55% |
| Frixiecs vs Leroy | 7–4 | 63.64% |
| Frixiecs vs Armor King | 6–3 | 66.67% |
| Frixiecs vs Miary Zo | 5–4 | 55.56% |
| Frixiecs vs Fahkumram | 3–1 | 75.00% |
| Frixiecs vs Anna | 0–3 | 0.00% |
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.