| FrAuDlee vs Heihachi | 23–41 | 35.94% |
| FrAuDlee vs Law | 18–34 | 34.62% |
| FrAuDlee vs Jin | 14–29 | 32.56% |
| FrAuDlee vs Dragunov | 20–23 | 46.51% |
| FrAuDlee vs Reina | 22–18 | 55.00% |
| FrAuDlee vs King | 18–20 | 47.37% |
| FrAuDlee vs Steve | 11–27 | 28.95% |
| FrAuDlee vs Kazuya | 9–27 | 25.00% |
| FrAuDlee vs Lili | 18–15 | 54.55% |
| FrAuDlee vs Yoshimitsu | 10–11 | 47.62% |
| FrAuDlee vs Hwoarang | 9–12 | 42.86% |
| FrAuDlee vs Lidia | 11–10 | 52.38% |
| FrAuDlee vs Raven | 6–13 | 31.58% |
| FrAuDlee vs Bryan | 2–16 | 11.11% |
| FrAuDlee vs Paul | 2–15 | 11.76% |
| FrAuDlee vs Victor | 6–10 | 37.50% |
| FrAuDlee vs Clive | 2–14 | 12.50% |
| FrAuDlee vs Nina | 6–9 | 40.00% |
| FrAuDlee vs Devil Jin | 6–8 | 42.86% |
| FrAuDlee vs Jun | 5–9 | 35.71% |
| FrAuDlee vs Lars | 5–8 | 38.46% |
| FrAuDlee vs Jack-8 | 3–8 | 27.27% |
| FrAuDlee vs Feng | 3–7 | 30.00% |
| FrAuDlee vs Asuka | 5–4 | 55.56% |
| FrAuDlee vs Claudio | 3–5 | 37.50% |
| FrAuDlee vs Panda | 3–5 | 37.50% |
| FrAuDlee vs Leroy | 3–5 | 37.50% |
| FrAuDlee vs Xiaoyu | 6–1 | 85.71% |
| FrAuDlee vs Eddy | 4–3 | 57.14% |
| FrAuDlee vs Azucena | 3–3 | 50.00% |
| FrAuDlee vs Leo | 1–4 | 20.00% |
| FrAuDlee vs Lee | 1–4 | 20.00% |
| FrAuDlee vs Kuma | 1–4 | 20.00% |
| FrAuDlee vs Alisa | 1–3 | 25.00% |
| FrAuDlee vs Zafina | 2–2 | 50.00% |
| FrAuDlee vs Shaheen | 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.