| Humblegod vs Jin | 23–29 | 44.23% |
| Humblegod vs Kazuya | 21–27 | 43.75% |
| Humblegod vs King | 22–22 | 50.00% |
| Humblegod vs Reina | 25–16 | 60.98% |
| Humblegod vs Devil Jin | 18–22 | 45.00% |
| Humblegod vs Paul | 17–20 | 45.95% |
| Humblegod vs Steve | 21–16 | 56.76% |
| Humblegod vs Dragunov | 20–17 | 54.05% |
| Humblegod vs Victor | 15–17 | 46.88% |
| Humblegod vs Law | 23–1 | 95.83% |
| Humblegod vs Hwoarang | 10–14 | 41.67% |
| Humblegod vs Jun | 8–16 | 33.33% |
| Humblegod vs Bryan | 11–12 | 47.83% |
| Humblegod vs Lili | 8–12 | 40.00% |
| Humblegod vs Azucena | 11–7 | 61.11% |
| Humblegod vs Eddy | 12–6 | 66.67% |
| Humblegod vs Xiaoyu | 11–6 | 64.71% |
| Humblegod vs Raven | 9–7 | 56.25% |
| Humblegod vs Feng | 8–6 | 57.14% |
| Humblegod vs Alisa | 6–8 | 42.86% |
| Humblegod vs Kuma | 7–6 | 53.85% |
| Humblegod vs Yoshimitsu | 6–5 | 54.55% |
| Humblegod vs Asuka | 4–6 | 40.00% |
| Humblegod vs Lee | 6–4 | 60.00% |
| Humblegod vs Lidia | 2–7 | 22.22% |
| Humblegod vs Lars | 0–8 | 0.00% |
| Humblegod vs Leo | 4–3 | 57.14% |
| Humblegod vs Jack-8 | 4–2 | 66.67% |
| Humblegod vs Shaheen | 3–3 | 50.00% |
| Humblegod vs Nina | 4–2 | 66.67% |
| Humblegod vs Claudio | 2–3 | 40.00% |
| Humblegod vs Zafina | 2–3 | 40.00% |
| Humblegod vs Leroy | 3–2 | 60.00% |
| Humblegod vs Heihachi | 3–2 | 60.00% |
| Humblegod vs Panda | 2–0 | 100.00% |
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.