| Hairywin vs Reina | 31–24 | 56.36% |
| Hairywin vs King | 11–24 | 31.43% |
| Hairywin vs Kazuya | 16–15 | 51.61% |
| Hairywin vs Lili | 13–17 | 43.33% |
| Hairywin vs Jin | 10–19 | 34.48% |
| Hairywin vs Law | 10–17 | 37.04% |
| Hairywin vs Steve | 12–14 | 46.15% |
| Hairywin vs Jun | 12–10 | 54.55% |
| Hairywin vs Eddy | 9–12 | 42.86% |
| Hairywin vs Lidia | 10–11 | 47.62% |
| Hairywin vs Hwoarang | 4–16 | 20.00% |
| Hairywin vs Heihachi | 10–10 | 50.00% |
| Hairywin vs Victor | 8–11 | 42.11% |
| Hairywin vs Raven | 13–4 | 76.47% |
| Hairywin vs Paul | 5–11 | 31.25% |
| Hairywin vs Yoshimitsu | 6–9 | 40.00% |
| Hairywin vs Bryan | 5–10 | 33.33% |
| Hairywin vs Lars | 7–7 | 50.00% |
| Hairywin vs Dragunov | 0–12 | 0.00% |
| Hairywin vs Lee | 5–7 | 41.67% |
| Hairywin vs Jack-8 | 4–6 | 40.00% |
| Hairywin vs Devil Jin | 6–4 | 60.00% |
| Hairywin vs Alisa | 6–4 | 60.00% |
| Hairywin vs Xiaoyu | 5–4 | 55.56% |
| Hairywin vs Asuka | 4–5 | 44.44% |
| Hairywin vs Feng | 6–3 | 66.67% |
| Hairywin vs Kuma | 4–4 | 50.00% |
| Hairywin vs Leo | 3–4 | 42.86% |
| Hairywin vs Azucena | 1–6 | 14.29% |
| Hairywin vs Claudio | 4–2 | 66.67% |
| Hairywin vs Leroy | 2–4 | 33.33% |
| Hairywin vs Nina | 2–2 | 50.00% |
| Hairywin vs Shaheen | 2–1 | 66.67% |
| Hairywin vs Panda | 1–2 | 33.33% |
| Hairywin vs Zafina | 3–0 | 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.