| tnlfem vs Kazuya | 27–20 | 57.45% |
| tnlfem vs Bryan | 12–15 | 44.44% |
| tnlfem vs Paul | 10–16 | 38.46% |
| tnlfem vs Steve | 9–16 | 36.00% |
| tnlfem vs Dragunov | 14–11 | 56.00% |
| tnlfem vs Jun | 13–11 | 54.17% |
| tnlfem vs Asuka | 8–14 | 36.36% |
| tnlfem vs Reina | 11–10 | 52.38% |
| tnlfem vs Armor King | 7–13 | 35.00% |
| tnlfem vs King | 5–14 | 26.32% |
| tnlfem vs Miary Zo | 11–8 | 57.89% |
| tnlfem vs Hwoarang | 10–7 | 58.82% |
| tnlfem vs Lili | 7–8 | 46.67% |
| tnlfem vs Lidia | 6–8 | 42.86% |
| tnlfem vs Jin | 5–8 | 38.46% |
| tnlfem vs Alisa | 7–6 | 53.85% |
| tnlfem vs Xiaoyu | 7–5 | 58.33% |
| tnlfem vs Devil Jin | 6–6 | 50.00% |
| tnlfem vs Lars | 6–6 | 50.00% |
| tnlfem vs Clive | 4–8 | 33.33% |
| tnlfem vs Leo | 5–6 | 45.45% |
| tnlfem vs Victor | 2–9 | 18.18% |
| tnlfem vs Eddy | 3–8 | 27.27% |
| tnlfem vs Heihachi | 1–10 | 9.09% |
| tnlfem vs Law | 5–3 | 62.50% |
| tnlfem vs Claudio | 2–5 | 28.57% |
| tnlfem vs Fahkumram | 6–1 | 85.71% |
| tnlfem vs Yoshimitsu | 2–4 | 33.33% |
| tnlfem vs Zafina | 1–5 | 16.67% |
| tnlfem vs Raven | 1–5 | 16.67% |
| tnlfem vs Anna | 2–4 | 33.33% |
| tnlfem vs Kuma | 1–4 | 20.00% |
| tnlfem vs Jack-8 | 2–1 | 66.67% |
| tnlfem vs Feng | 1–2 | 33.33% |
| tnlfem vs Shaheen | 2–0 | 100.00% |
| tnlfem vs Lee | 0–2 | 0.00% |
| tnlfem vs Leroy | 2–0 | 100.00% |
| tnlfem vs Azucena | 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.