| Hugo_Boss89 vs Jin | 22–3 | 88.00% |
| Hugo_Boss89 vs Bryan | 16–0 | 100.00% |
| Hugo_Boss89 vs Dragunov | 14–1 | 93.33% |
| Hugo_Boss89 vs Yoshimitsu | 11–2 | 84.62% |
| Hugo_Boss89 vs Kazuya | 9–3 | 75.00% |
| Hugo_Boss89 vs Reina | 8–4 | 66.67% |
| Hugo_Boss89 vs Paul | 11–0 | 100.00% |
| Hugo_Boss89 vs Victor | 5–6 | 45.45% |
| Hugo_Boss89 vs King | 7–3 | 70.00% |
| Hugo_Boss89 vs Eddy | 9–1 | 90.00% |
| Hugo_Boss89 vs Jack-8 | 6–3 | 66.67% |
| Hugo_Boss89 vs Heihachi | 7–2 | 77.78% |
| Hugo_Boss89 vs Law | 7–1 | 87.50% |
| Hugo_Boss89 vs Asuka | 5–3 | 62.50% |
| Hugo_Boss89 vs Lee | 7–1 | 87.50% |
| Hugo_Boss89 vs Hwoarang | 7–0 | 100.00% |
| Hugo_Boss89 vs Steve | 5–2 | 71.43% |
| Hugo_Boss89 vs Azucena | 5–2 | 71.43% |
| Hugo_Boss89 vs Xiaoyu | 5–1 | 83.33% |
| Hugo_Boss89 vs Alisa | 6–0 | 100.00% |
| Hugo_Boss89 vs Devil Jin | 3–2 | 60.00% |
| Hugo_Boss89 vs Shaheen | 5–0 | 100.00% |
| Hugo_Boss89 vs Raven | 3–2 | 60.00% |
| Hugo_Boss89 vs Lili | 3–1 | 75.00% |
| Hugo_Boss89 vs Lars | 4–0 | 100.00% |
| Hugo_Boss89 vs Fahkumram | 2–2 | 50.00% |
| Hugo_Boss89 vs Armor King | 4–0 | 100.00% |
| Hugo_Boss89 vs Feng | 1–2 | 33.33% |
| Hugo_Boss89 vs Kuma | 2–1 | 66.67% |
| Hugo_Boss89 vs Zafina | 1–2 | 33.33% |
| Hugo_Boss89 vs Leo | 0–2 | 0.00% |
| Hugo_Boss89 vs Jun | 2–0 | 100.00% |
| Hugo_Boss89 vs Claudio | 1–0 | 100.00% |
| Hugo_Boss89 vs Nina | 1–0 | 100.00% |
| Hugo_Boss89 vs Panda | 1–0 | 100.00% |
| Hugo_Boss89 vs Lidia | 0–1 | 0.00% |
| Hugo_Boss89 vs Anna | 0–1 | 0.00% |
| Hugo_Boss89 vs Miary Zo | 1–0 | 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.