| Harsh vs King | 88–112 | 44.00% |
| Harsh vs Jin | 79–93 | 45.93% |
| Harsh vs Steve | 78–90 | 46.43% |
| Harsh vs Hwoarang | 73–79 | 48.03% |
| Harsh vs Law | 60–89 | 40.27% |
| Harsh vs Bryan | 49–80 | 37.98% |
| Harsh vs Reina | 53–71–1 | 42.74% |
| Harsh vs Dragunov | 45–61 | 42.45% |
| Harsh vs Kazuya | 37–68 | 35.24% |
| Harsh vs Jun | 60–43 | 58.25% |
| Harsh vs Paul | 52–48 | 52.00% |
| Harsh vs Eddy | 46–54 | 46.00% |
| Harsh vs Yoshimitsu | 41–53 | 43.62% |
| Harsh vs Azucena | 46–41 | 52.87% |
| Harsh vs Lili | 33–49 | 40.24% |
| Harsh vs Asuka | 43–37 | 53.75% |
| Harsh vs Victor | 32–42 | 43.24% |
| Harsh vs Jack-8 | 35–38 | 47.95% |
| Harsh vs Lee | 34–38 | 47.22% |
| Harsh vs Xiaoyu | 24–33 | 42.11% |
| Harsh vs Feng | 26–30 | 46.43% |
| Harsh vs Lars | 26–30 | 46.43% |
| Harsh vs Alisa | 20–28 | 41.67% |
| Harsh vs Heihachi | 16–31 | 34.04% |
| Harsh vs Nina | 24–22 | 52.17% |
| Harsh vs Leo | 16–27 | 37.21% |
| Harsh vs Raven | 20–17 | 54.05% |
| Harsh vs Devil Jin | 15–18 | 45.45% |
| Harsh vs Clive | 10–23 | 30.30% |
| Harsh vs Kuma | 5–24 | 17.24% |
| Harsh vs Zafina | 12–15 | 44.44% |
| Harsh vs Lidia | 5–20 | 20.00% |
| Harsh vs Claudio | 10–13 | 43.48% |
| Harsh vs Shaheen | 8–14 | 36.36% |
| Harsh vs Leroy | 7–13 | 35.00% |
| Harsh vs Panda | 1–5 | 16.67% |
| Harsh vs Anna | 1–3 | 25.00% |
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.