| hugginnn vs Kazuya | 176–121 | 59.26% |
| hugginnn vs King | 123–109 | 53.02% |
| hugginnn vs Jin | 131–100 | 56.71% |
| hugginnn vs Reina | 113–94 | 54.59% |
| hugginnn vs Bryan | 84–106 | 44.21% |
| hugginnn vs Lili | 102–74 | 57.95% |
| hugginnn vs Hwoarang | 92–81 | 53.18% |
| hugginnn vs Steve | 94–69 | 57.67% |
| hugginnn vs Dragunov | 73–89 | 45.06% |
| hugginnn vs Law | 89–57 | 60.96% |
| hugginnn vs Eddy | 72–68 | 51.43% |
| hugginnn vs Asuka | 71–58 | 55.04% |
| hugginnn vs Paul | 65–47 | 58.04% |
| hugginnn vs Clive | 46–54 | 46.00% |
| hugginnn vs Lee | 46–51 | 47.42% |
| hugginnn vs Azucena | 44–52 | 45.83% |
| hugginnn vs Nina | 44–48 | 47.83% |
| hugginnn vs Yoshimitsu | 41–47 | 46.59% |
| hugginnn vs Alisa | 28–60 | 31.82% |
| hugginnn vs Lidia | 34–49 | 40.96% |
| hugginnn vs Xiaoyu | 44–37 | 54.32% |
| hugginnn vs Jun | 36–39 | 48.00% |
| hugginnn vs Feng | 29–44 | 39.73% |
| hugginnn vs Victor | 32–41 | 43.84% |
| hugginnn vs Devil Jin | 30–41 | 42.25% |
| hugginnn vs Leroy | 39–30 | 56.52% |
| hugginnn vs Lars | 36–31 | 53.73% |
| hugginnn vs Heihachi | 32–28 | 53.33% |
| hugginnn vs Leo | 24–33 | 42.11% |
| hugginnn vs Raven | 35–16–1 | 68.63% |
| hugginnn vs Jack-8 | 23–28 | 45.10% |
| hugginnn vs Claudio | 24–18 | 57.14% |
| hugginnn vs Zafina | 20–20 | 50.00% |
| hugginnn vs Kuma | 14–15 | 48.28% |
| hugginnn vs Shaheen | 14–14 | 50.00% |
| hugginnn vs Panda | 9–16 | 36.00% |
| hugginnn vs Armor King | 9–9 | 50.00% |
| hugginnn vs Anna | 3–4 | 42.86% |
| hugginnn vs Fahkumram | 2–3 | 40.00% |
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.