| MsFarron vs Jin | 26–38 | 40.62% |
| MsFarron vs King | 26–32 | 44.83% |
| MsFarron vs Kazuya | 23–28 | 45.10% |
| MsFarron vs Bryan | 24–26 | 48.00% |
| MsFarron vs Lili | 23–19 | 54.76% |
| MsFarron vs Paul | 15–20 | 42.86% |
| MsFarron vs Dragunov | 19–12 | 61.29% |
| MsFarron vs Hwoarang | 11–19 | 36.67% |
| MsFarron vs Law | 15–9 | 62.50% |
| MsFarron vs Steve | 11–13 | 45.83% |
| MsFarron vs Victor | 10–12 | 45.45% |
| MsFarron vs Yoshimitsu | 12–8 | 60.00% |
| MsFarron vs Asuka | 9–11 | 45.00% |
| MsFarron vs Jun | 7–13 | 35.00% |
| MsFarron vs Lee | 9–10 | 47.37% |
| MsFarron vs Feng | 7–9 | 43.75% |
| MsFarron vs Lars | 6–8 | 42.86% |
| MsFarron vs Alisa | 5–9 | 35.71% |
| MsFarron vs Reina | 7–6 | 53.85% |
| MsFarron vs Shaheen | 5–7 | 41.67% |
| MsFarron vs Leroy | 6–6 | 50.00% |
| MsFarron vs Claudio | 4–7 | 36.36% |
| MsFarron vs Heihachi | 2–9 | 18.18% |
| MsFarron vs Xiaoyu | 4–6 | 40.00% |
| MsFarron vs Raven | 7–3 | 70.00% |
| MsFarron vs Eddy | 6–4 | 60.00% |
| MsFarron vs Kuma | 4–5 | 44.44% |
| MsFarron vs Devil Jin | 3–5 | 37.50% |
| MsFarron vs Azucena | 5–3 | 62.50% |
| MsFarron vs Jack-8 | 3–4 | 42.86% |
| MsFarron vs Lidia | 1–6 | 14.29% |
| MsFarron vs Nina | 1–5 | 16.67% |
| MsFarron vs Leo | 3–0 | 100.00% |
| MsFarron vs Zafina | 2–0 | 100.00% |
| MsFarron vs Anna | 0–2 | 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.