| HR xNoct1s vs Jin | 46–36 | 56.10% |
| HR xNoct1s vs Reina | 40–24 | 62.50% |
| HR xNoct1s vs Hwoarang | 40–17 | 70.18% |
| HR xNoct1s vs Kazuya | 34–20 | 62.96% |
| HR xNoct1s vs Dragunov | 27–27 | 50.00% |
| HR xNoct1s vs Paul | 35–16 | 68.63% |
| HR xNoct1s vs Bryan | 22–25 | 46.81% |
| HR xNoct1s vs King | 19–25 | 43.18% |
| HR xNoct1s vs Devil Jin | 16–28 | 36.36% |
| HR xNoct1s vs Steve | 28–13 | 68.29% |
| HR xNoct1s vs Yoshimitsu | 21–15 | 58.33% |
| HR xNoct1s vs Alisa | 26–10 | 72.22% |
| HR xNoct1s vs Xiaoyu | 17–18 | 48.57% |
| HR xNoct1s vs Lee | 18–17 | 51.43% |
| HR xNoct1s vs Law | 19–10 | 65.52% |
| HR xNoct1s vs Asuka | 19–10 | 65.52% |
| HR xNoct1s vs Jun | 18–11 | 62.07% |
| HR xNoct1s vs Azucena | 16–12 | 57.14% |
| HR xNoct1s vs Feng | 18–9 | 66.67% |
| HR xNoct1s vs Raven | 16–9 | 64.00% |
| HR xNoct1s vs Nina | 10–11 | 47.62% |
| HR xNoct1s vs Eddy | 15–6 | 71.43% |
| HR xNoct1s vs Lili | 11–9 | 55.00% |
| HR xNoct1s vs Lidia | 8–10 | 44.44% |
| HR xNoct1s vs Jack-8 | 7–10 | 41.18% |
| HR xNoct1s vs Leroy | 7–10 | 41.18% |
| HR xNoct1s vs Heihachi | 6–11 | 35.29% |
| HR xNoct1s vs Lars | 12–4 | 75.00% |
| HR xNoct1s vs Victor | 10–5 | 66.67% |
| HR xNoct1s vs Leo | 8–6 | 57.14% |
| HR xNoct1s vs Zafina | 8–4 | 66.67% |
| HR xNoct1s vs Armor King | 6–6 | 50.00% |
| HR xNoct1s vs Shaheen | 3–7 | 30.00% |
| HR xNoct1s vs Claudio | 6–3 | 66.67% |
| HR xNoct1s vs Clive | 4–2 | 66.67% |
| HR xNoct1s vs Kuma | 4–1 | 80.00% |
| HR xNoct1s vs Anna | 2–0 | 100.00% |
| HR xNoct1s vs Fahkumram | 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.