| HarpDizzler vs Reina | 9–26 | 25.71% |
| HarpDizzler vs Dragunov | 4–25 | 13.79% |
| HarpDizzler vs Bryan | 4–20 | 16.67% |
| HarpDizzler vs Paul | 5–18 | 21.74% |
| HarpDizzler vs King | 2–20 | 9.09% |
| HarpDizzler vs Kazuya | 4–15 | 21.05% |
| HarpDizzler vs Law | 2–14 | 12.50% |
| HarpDizzler vs Yoshimitsu | 7–8 | 46.67% |
| HarpDizzler vs Hwoarang | 4–11 | 26.67% |
| HarpDizzler vs Lars | 6–9 | 40.00% |
| HarpDizzler vs Jin | 5–9 | 35.71% |
| HarpDizzler vs Lili | 5–9 | 35.71% |
| HarpDizzler vs Azucena | 4–10 | 28.57% |
| HarpDizzler vs Lee | 3–10 | 23.08% |
| HarpDizzler vs Steve | 2–10 | 16.67% |
| HarpDizzler vs Shaheen | 3–8 | 27.27% |
| HarpDizzler vs Eddy | 0–11 | 0.00% |
| HarpDizzler vs Feng | 3–7 | 30.00% |
| HarpDizzler vs Xiaoyu | 3–6 | 33.33% |
| HarpDizzler vs Nina | 2–7 | 22.22% |
| HarpDizzler vs Leo | 4–4 | 50.00% |
| HarpDizzler vs Jun | 4–4 | 50.00% |
| HarpDizzler vs Jack-8 | 2–5 | 28.57% |
| HarpDizzler vs Claudio | 0–7 | 0.00% |
| HarpDizzler vs Leroy | 1–6 | 14.29% |
| HarpDizzler vs Panda | 1–4 | 20.00% |
| HarpDizzler vs Victor | 3–2 | 60.00% |
| HarpDizzler vs Kuma | 0–4 | 0.00% |
| HarpDizzler vs Zafina | 1–3 | 25.00% |
| HarpDizzler vs Alisa | 0–3 | 0.00% |
| HarpDizzler vs Raven | 2–1 | 66.67% |
| HarpDizzler vs Asuka | 0–2 | 0.00% |
| HarpDizzler vs Devil Jin | 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.