| hugboof vs Heihachi | 36–46 | 43.90% |
| hugboof vs Kazuya | 30–24 | 55.56% |
| hugboof vs King | 23–27 | 46.00% |
| hugboof vs Reina | 18–29 | 38.30% |
| hugboof vs Steve | 16–23 | 41.03% |
| hugboof vs Hwoarang | 16–21 | 43.24% |
| hugboof vs Jin | 11–19 | 36.67% |
| hugboof vs Bryan | 11–18 | 37.93% |
| hugboof vs Jun | 11–14 | 44.00% |
| hugboof vs Kuma | 7–16 | 30.43% |
| hugboof vs Victor | 12–11 | 52.17% |
| hugboof vs Asuka | 7–15 | 31.82% |
| hugboof vs Dragunov | 8–10 | 44.44% |
| hugboof vs Lee | 8–9 | 47.06% |
| hugboof vs Lili | 11–5 | 68.75% |
| hugboof vs Fahkumram | 10–6 | 62.50% |
| hugboof vs Xiaoyu | 7–8 | 46.67% |
| hugboof vs Azucena | 7–7 | 50.00% |
| hugboof vs Eddy | 6–8 | 42.86% |
| hugboof vs Lidia | 7–7 | 50.00% |
| hugboof vs Law | 6–7 | 46.15% |
| hugboof vs Leo | 3–9 | 25.00% |
| hugboof vs Paul | 10–1 | 90.91% |
| hugboof vs Yoshimitsu | 3–8 | 27.27% |
| hugboof vs Devil Jin | 4–7 | 36.36% |
| hugboof vs Lars | 5–6 | 45.45% |
| hugboof vs Feng | 5–5 | 50.00% |
| hugboof vs Leroy | 6–3 | 66.67% |
| hugboof vs Claudio | 3–4 | 42.86% |
| hugboof vs Alisa | 4–0 | 100.00% |
| hugboof vs Nina | 3–1 | 75.00% |
| hugboof vs Panda | 1–2 | 33.33% |
| hugboof vs Zafina | 1–2 | 33.33% |
| hugboof vs Jack-8 | 2–0 | 100.00% |
| hugboof vs Raven | 2–0 | 100.00% |
| hugboof vs Clive | 0–2 | 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.