| Frølle vs Kazuya | 94–67 | 58.39% |
| Frølle vs Heihachi | 69–77 | 47.26% |
| Frølle vs Bryan | 67–56 | 54.47% |
| Frølle vs Reina | 56–65 | 46.28% |
| Frølle vs Jin | 48–57 | 45.71% |
| Frølle vs Lee | 45–29 | 60.81% |
| Frølle vs Devil Jin | 28–44 | 38.89% |
| Frølle vs Dragunov | 36–33 | 52.17% |
| Frølle vs King | 33–33 | 50.00% |
| Frølle vs Yoshimitsu | 27–39 | 40.91% |
| Frølle vs Law | 33–31 | 51.56% |
| Frølle vs Steve | 34–23 | 59.65% |
| Frølle vs Lili | 25–32 | 43.86% |
| Frølle vs Clive | 22–28 | 44.00% |
| Frølle vs Feng | 20–26 | 43.48% |
| Frølle vs Paul | 24–20 | 54.55% |
| Frølle vs Jun | 19–25 | 43.18% |
| Frølle vs Lidia | 11–32 | 25.58% |
| Frølle vs Eddy | 17–25 | 40.48% |
| Frølle vs Azucena | 19–22 | 46.34% |
| Frølle vs Victor | 16–23 | 41.03% |
| Frølle vs Asuka | 17–20 | 45.95% |
| Frølle vs Xiaoyu | 14–18 | 43.75% |
| Frølle vs Jack-8 | 13–19 | 40.62% |
| Frølle vs Nina | 16–16 | 50.00% |
| Frølle vs Alisa | 9–18 | 33.33% |
| Frølle vs Hwoarang | 10–15–1 | 40.00% |
| Frølle vs Lars | 12–13 | 48.00% |
| Frølle vs Kuma | 10–11 | 47.62% |
| Frølle vs Leroy | 12–9 | 57.14% |
| Frølle vs Zafina | 8–11 | 42.11% |
| Frølle vs Leo | 6–12 | 33.33% |
| Frølle vs Claudio | 5–9 | 35.71% |
| Frølle vs Shaheen | 7–6 | 53.85% |
| Frølle vs Raven | 5–8 | 38.46% |
| Frølle vs Panda | 2–6 | 25.00% |
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.