| FlawlessMistake vs Reina | 10–8 | 55.56% |
| FlawlessMistake vs Lidia | 8–10 | 44.44% |
| FlawlessMistake vs Kazuya | 7–7 | 50.00% |
| FlawlessMistake vs King | 6–5 | 54.55% |
| FlawlessMistake vs Steve | 10–1 | 90.91% |
| FlawlessMistake vs Lili | 4–5 | 44.44% |
| FlawlessMistake vs Dragunov | 3–6 | 33.33% |
| FlawlessMistake vs Kuma | 4–5 | 44.44% |
| FlawlessMistake vs Jun | 5–4 | 55.56% |
| FlawlessMistake vs Yoshimitsu | 1–7 | 12.50% |
| FlawlessMistake vs Law | 1–6 | 14.29% |
| FlawlessMistake vs Jin | 4–3 | 57.14% |
| FlawlessMistake vs Hwoarang | 3–3 | 50.00% |
| FlawlessMistake vs Leo | 2–4 | 33.33% |
| FlawlessMistake vs Azucena | 1–5 | 16.67% |
| FlawlessMistake vs Bryan | 1–4 | 20.00% |
| FlawlessMistake vs Lars | 4–1 | 80.00% |
| FlawlessMistake vs Nina | 4–1 | 80.00% |
| FlawlessMistake vs Victor | 3–2 | 60.00% |
| FlawlessMistake vs Xiaoyu | 1–3 | 25.00% |
| FlawlessMistake vs Asuka | 2–2 | 50.00% |
| FlawlessMistake vs Eddy | 2–2 | 50.00% |
| FlawlessMistake vs Paul | 2–1 | 66.67% |
| FlawlessMistake vs Leroy | 3–0 | 100.00% |
| FlawlessMistake vs Jack-8 | 2–0 | 100.00% |
| FlawlessMistake vs Alisa | 0–2 | 0.00% |
| FlawlessMistake vs Devil Jin | 1–0 | 100.00% |
| FlawlessMistake vs Feng | 0–1 | 0.00% |
| FlawlessMistake vs Claudio | 1–0 | 100.00% |
| FlawlessMistake vs Lee | 0–1 | 0.00% |
| FlawlessMistake vs Raven | 0–1 | 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.