| HuMiLiaTioN vs Bryan | 36–48 | 42.86% |
| HuMiLiaTioN vs Jin | 36–45 | 44.44% |
| HuMiLiaTioN vs Kazuya | 35–38 | 47.95% |
| HuMiLiaTioN vs Reina | 40–31 | 56.34% |
| HuMiLiaTioN vs King | 31–39 | 44.29% |
| HuMiLiaTioN vs Law | 30–35 | 46.15% |
| HuMiLiaTioN vs Azucena | 34–31 | 52.31% |
| HuMiLiaTioN vs Hwoarang | 30–28 | 51.72% |
| HuMiLiaTioN vs Eddy | 35–21 | 62.50% |
| HuMiLiaTioN vs Yoshimitsu | 21–29 | 42.00% |
| HuMiLiaTioN vs Dragunov | 15–33 | 31.25% |
| HuMiLiaTioN vs Lee | 24–22 | 52.17% |
| HuMiLiaTioN vs Lili | 20–25 | 44.44% |
| HuMiLiaTioN vs Paul | 17–22 | 43.59% |
| HuMiLiaTioN vs Feng | 21–17 | 55.26% |
| HuMiLiaTioN vs Steve | 20–15 | 57.14% |
| HuMiLiaTioN vs Asuka | 27–7 | 79.41% |
| HuMiLiaTioN vs Raven | 18–16 | 52.94% |
| HuMiLiaTioN vs Leo | 15–16 | 48.39% |
| HuMiLiaTioN vs Jun | 12–19 | 38.71% |
| HuMiLiaTioN vs Xiaoyu | 15–14 | 51.72% |
| HuMiLiaTioN vs Devil Jin | 14–15 | 48.28% |
| HuMiLiaTioN vs Victor | 9–18 | 33.33% |
| HuMiLiaTioN vs Claudio | 7–18 | 28.00% |
| HuMiLiaTioN vs Zafina | 10–15 | 40.00% |
| HuMiLiaTioN vs Jack-8 | 12–11 | 52.17% |
| HuMiLiaTioN vs Nina | 13–8 | 61.90% |
| HuMiLiaTioN vs Lars | 10–10 | 50.00% |
| HuMiLiaTioN vs Alisa | 11–9 | 55.00% |
| HuMiLiaTioN vs Leroy | 12–8 | 60.00% |
| HuMiLiaTioN vs Kuma | 7–6 | 53.85% |
| HuMiLiaTioN vs Shaheen | 7–5 | 58.33% |
| HuMiLiaTioN vs Panda | 1–2 | 33.33% |
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.