| hambin vs Miary Zo | 23–15 | 60.53% |
| hambin vs Steve | 26–9 | 74.29% |
| hambin vs Kazuya | 17–11 | 60.71% |
| hambin vs Armor King | 10–12 | 45.45% |
| hambin vs Dragunov | 11–10 | 52.38% |
| hambin vs Paul | 12–7 | 63.16% |
| hambin vs Hwoarang | 6–11 | 35.29% |
| hambin vs Azucena | 7–9 | 43.75% |
| hambin vs Bryan | 13–2 | 86.67% |
| hambin vs Jin | 6–8 | 42.86% |
| hambin vs Jun | 9–5 | 64.29% |
| hambin vs Reina | 9–5 | 64.29% |
| hambin vs Clive | 6–8 | 42.86% |
| hambin vs Devil Jin | 3–8 | 27.27% |
| hambin vs Nina | 5–6 | 45.45% |
| hambin vs King | 6–4 | 60.00% |
| hambin vs Xiaoyu | 5–4 | 55.56% |
| hambin vs Claudio | 4–5 | 44.44% |
| hambin vs Lidia | 3–6 | 33.33% |
| hambin vs Anna | 7–2 | 77.78% |
| hambin vs Asuka | 7–1 | 87.50% |
| hambin vs Law | 4–3 | 57.14% |
| hambin vs Heihachi | 5–2 | 71.43% |
| hambin vs Yoshimitsu | 4–2 | 66.67% |
| hambin vs Lars | 5–1 | 83.33% |
| hambin vs Lee | 4–2 | 66.67% |
| hambin vs Fahkumram | 3–3 | 50.00% |
| hambin vs Raven | 3–2 | 60.00% |
| hambin vs Jack-8 | 0–4 | 0.00% |
| hambin vs Feng | 4–0 | 100.00% |
| hambin vs Lili | 2–2 | 50.00% |
| hambin vs Alisa | 2–2 | 50.00% |
| hambin vs Leo | 1–2 | 33.33% |
| hambin vs Victor | 2–0 | 100.00% |
| hambin vs Eddy | 2–0 | 100.00% |
| hambin vs Shaheen | 1–0 | 100.00% |
| hambin vs Leroy | 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.