| H1carl vs Jin | 18–37 | 32.73% |
| H1carl vs Hwoarang | 22–19 | 53.66% |
| H1carl vs King | 19–18 | 51.35% |
| H1carl vs Reina | 24–10 | 70.59% |
| H1carl vs Dragunov | 19–14 | 57.58% |
| H1carl vs Bryan | 18–14 | 56.25% |
| H1carl vs Steve | 17–13 | 56.67% |
| H1carl vs Lili | 15–9 | 62.50% |
| H1carl vs Jun | 19–5 | 79.17% |
| H1carl vs Kazuya | 10–13 | 43.48% |
| H1carl vs Fahkumram | 12–11 | 52.17% |
| H1carl vs Yoshimitsu | 13–9 | 59.09% |
| H1carl vs Xiaoyu | 16–5 | 76.19% |
| H1carl vs Alisa | 6–15 | 28.57% |
| H1carl vs Victor | 14–5 | 73.68% |
| H1carl vs Law | 8–10 | 44.44% |
| H1carl vs Lars | 14–4 | 77.78% |
| H1carl vs Raven | 8–8 | 50.00% |
| H1carl vs Azucena | 7–8 | 46.67% |
| H1carl vs Devil Jin | 7–7 | 50.00% |
| H1carl vs Eddy | 5–8 | 38.46% |
| H1carl vs Anna | 7–6 | 53.85% |
| H1carl vs Leo | 6–6 | 50.00% |
| H1carl vs Heihachi | 6–6 | 50.00% |
| H1carl vs Leroy | 8–3 | 72.73% |
| H1carl vs Asuka | 6–4 | 60.00% |
| H1carl vs Lee | 5–5 | 50.00% |
| H1carl vs Lidia | 4–5 | 44.44% |
| H1carl vs Clive | 4–5 | 44.44% |
| H1carl vs Paul | 3–3 | 50.00% |
| H1carl vs Claudio | 2–3 | 40.00% |
| H1carl vs Jack-8 | 2–2 | 50.00% |
| H1carl vs Nina | 3–1 | 75.00% |
| H1carl vs Shaheen | 3–0 | 100.00% |
| H1carl vs Feng | 0–2 | 0.00% |
| H1carl vs Kuma | 2–0 | 100.00% |
| H1carl vs Panda | 1–1 | 50.00% |
| H1carl vs Zafina | 2–0 | 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.