| Harold vs Jin | 73–58 | 55.73% |
| Harold vs Bryan | 66–41 | 61.68% |
| Harold vs Dragunov | 67–32 | 67.68% |
| Harold vs Kazuya | 61–26 | 70.11% |
| Harold vs King | 46–40 | 53.49% |
| Harold vs Paul | 39–46 | 45.88% |
| Harold vs Steve | 40–35 | 53.33% |
| Harold vs Reina | 45–30 | 60.00% |
| Harold vs Victor | 37–35 | 51.39% |
| Harold vs Law | 34–36 | 48.57% |
| Harold vs Hwoarang | 31–31 | 50.00% |
| Harold vs Devil Jin | 28–34 | 45.16% |
| Harold vs Heihachi | 42–18 | 70.00% |
| Harold vs Lili | 24–33 | 42.11% |
| Harold vs Feng | 18–31 | 36.73% |
| Harold vs Yoshimitsu | 33–14 | 70.21% |
| Harold vs Leo | 22–23 | 48.89% |
| Harold vs Lars | 25–18 | 58.14% |
| Harold vs Jun | 30–12 | 71.43% |
| Harold vs Raven | 23–19 | 54.76% |
| Harold vs Asuka | 19–22 | 46.34% |
| Harold vs Xiaoyu | 21–19 | 52.50% |
| Harold vs Claudio | 16–22 | 42.11% |
| Harold vs Kuma | 16–20 | 44.44% |
| Harold vs Lee | 16–18 | 47.06% |
| Harold vs Azucena | 15–18 | 45.45% |
| Harold vs Eddy | 11–22 | 33.33% |
| Harold vs Alisa | 11–19 | 36.67% |
| Harold vs Nina | 12–14 | 46.15% |
| Harold vs Jack-8 | 13–11 | 54.17% |
| Harold vs Clive | 13–11 | 54.17% |
| Harold vs Shaheen | 10–13 | 43.48% |
| Harold vs Leroy | 5–16 | 23.81% |
| Harold vs Zafina | 9–11 | 45.00% |
| Harold vs Panda | 9–8 | 52.94% |
| Harold vs Lidia | 9–4 | 69.23% |
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.