| FeMtO_KO vs King | 9–25 | 26.47% |
| FeMtO_KO vs Clive | 7–27 | 20.59% |
| FeMtO_KO vs Jin | 7–22 | 24.14% |
| FeMtO_KO vs Reina | 10–19 | 34.48% |
| FeMtO_KO vs Steve | 3–23 | 11.54% |
| FeMtO_KO vs Heihachi | 9–16 | 36.00% |
| FeMtO_KO vs Lili | 4–20 | 16.67% |
| FeMtO_KO vs Hwoarang | 4–17 | 19.05% |
| FeMtO_KO vs Dragunov | 3–18 | 14.29% |
| FeMtO_KO vs Yoshimitsu | 8–11 | 42.11% |
| FeMtO_KO vs Victor | 8–11 | 42.11% |
| FeMtO_KO vs Kazuya | 1–16 | 5.88% |
| FeMtO_KO vs Nina | 8–9 | 47.06% |
| FeMtO_KO vs Azucena | 7–10 | 41.18% |
| FeMtO_KO vs Asuka | 1–15 | 6.25% |
| FeMtO_KO vs Eddy | 4–12 | 25.00% |
| FeMtO_KO vs Leroy | 4–11 | 26.67% |
| FeMtO_KO vs Jun | 0–13 | 0.00% |
| FeMtO_KO vs Xiaoyu | 6–6 | 50.00% |
| FeMtO_KO vs Zafina | 5–7 | 41.67% |
| FeMtO_KO vs Bryan | 1–10 | 9.09% |
| FeMtO_KO vs Lidia | 1–10 | 9.09% |
| FeMtO_KO vs Devil Jin | 1–9 | 10.00% |
| FeMtO_KO vs Lee | 3–7 | 30.00% |
| FeMtO_KO vs Paul | 0–9 | 0.00% |
| FeMtO_KO vs Law | 2–7 | 22.22% |
| FeMtO_KO vs Raven | 1–7 | 12.50% |
| FeMtO_KO vs Claudio | 4–3 | 57.14% |
| FeMtO_KO vs Alisa | 1–5 | 16.67% |
| FeMtO_KO vs Feng | 0–5 | 0.00% |
| FeMtO_KO vs Miary Zo | 0–4 | 0.00% |
| FeMtO_KO vs Leo | 1–2 | 33.33% |
| FeMtO_KO vs Shaheen | 0–3 | 0.00% |
| FeMtO_KO vs Anna | 2–1 | 66.67% |
| FeMtO_KO vs Jack-8 | 0–2 | 0.00% |
| FeMtO_KO vs Kuma | 0–2 | 0.00% |
| FeMtO_KO vs Panda | 1–1 | 50.00% |
| FeMtO_KO vs Lars | 0–1 | 0.00% |
| FeMtO_KO vs Armor King | 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.