| HUNTER vs King | 31–62 | 33.33% |
| HUNTER vs Kazuya | 31–57 | 35.23% |
| HUNTER vs Jin | 27–40 | 40.30% |
| HUNTER vs Steve | 21–33 | 38.89% |
| HUNTER vs Yoshimitsu | 18–32 | 36.00% |
| HUNTER vs Bryan | 14–35 | 28.57% |
| HUNTER vs Dragunov | 17–27 | 38.64% |
| HUNTER vs Eddy | 8–30 | 21.05% |
| HUNTER vs Reina | 10–25 | 28.57% |
| HUNTER vs Law | 5–28 | 15.15% |
| HUNTER vs Nina | 13–20 | 39.39% |
| HUNTER vs Lili | 5–27 | 15.62% |
| HUNTER vs Fahkumram | 5–27 | 15.62% |
| HUNTER vs Hwoarang | 9–22 | 29.03% |
| HUNTER vs Lars | 13–17 | 43.33% |
| HUNTER vs Azucena | 8–17 | 32.00% |
| HUNTER vs Asuka | 8–16 | 33.33% |
| HUNTER vs Paul | 5–16 | 23.81% |
| HUNTER vs Devil Jin | 10–11 | 47.62% |
| HUNTER vs Lee | 6–13 | 31.58% |
| HUNTER vs Victor | 2–17 | 10.53% |
| HUNTER vs Jun | 8–8 | 50.00% |
| HUNTER vs Heihachi | 4–12 | 25.00% |
| HUNTER vs Feng | 8–4 | 66.67% |
| HUNTER vs Anna | 3–9 | 25.00% |
| HUNTER vs Alisa | 2–9 | 18.18% |
| HUNTER vs Zafina | 8–2 | 80.00% |
| HUNTER vs Leo | 6–3 | 66.67% |
| HUNTER vs Raven | 3–6 | 33.33% |
| HUNTER vs Lidia | 5–4 | 55.56% |
| HUNTER vs Leroy | 2–6 | 25.00% |
| HUNTER vs Claudio | 1–6 | 14.29% |
| HUNTER vs Clive | 5–2 | 71.43% |
| HUNTER vs Xiaoyu | 1–5 | 16.67% |
| HUNTER vs Jack-8 | 1–2 | 33.33% |
| HUNTER vs Kuma | 0–2 | 0.00% |
| HUNTER vs Shaheen | 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.