| C0RN vs King | 110–54 | 67.07% |
| C0RN vs Kazuya | 100–61 | 62.11% |
| C0RN vs Jin | 62–58 | 51.67% |
| C0RN vs Hwoarang | 68–50 | 57.63% |
| C0RN vs Steve | 57–44–1 | 56.44% |
| C0RN vs Lili | 50–48 | 51.02% |
| C0RN vs Reina | 45–53 | 45.92% |
| C0RN vs Yoshimitsu | 37–56 | 39.78% |
| C0RN vs Bryan | 53–39 | 57.61% |
| C0RN vs Law | 47–44 | 51.65% |
| C0RN vs Paul | 43–43 | 50.00% |
| C0RN vs Dragunov | 32–40 | 44.44% |
| C0RN vs Asuka | 36–28 | 56.25% |
| C0RN vs Lee | 33–28 | 54.10% |
| C0RN vs Jun | 21–31 | 40.38% |
| C0RN vs Lidia | 30–21 | 58.82% |
| C0RN vs Azucena | 25–24 | 51.02% |
| C0RN vs Eddy | 21–26 | 44.68% |
| C0RN vs Victor | 22–24 | 47.83% |
| C0RN vs Lars | 21–24 | 46.67% |
| C0RN vs Kuma | 25–20 | 55.56% |
| C0RN vs Leo | 23–21 | 52.27% |
| C0RN vs Nina | 28–13 | 68.29% |
| C0RN vs Leroy | 19–21 | 47.50% |
| C0RN vs Xiaoyu | 18–16 | 52.94% |
| C0RN vs Feng | 21–13 | 61.76% |
| C0RN vs Devil Jin | 19–14 | 57.58% |
| C0RN vs Jack-8 | 13–19 | 40.62% |
| C0RN vs Alisa | 12–18 | 40.00% |
| C0RN vs Raven | 9–20 | 31.03% |
| C0RN vs Claudio | 7–5 | 58.33% |
| C0RN vs Shaheen | 6–4 | 60.00% |
| C0RN vs Fahkumram | 6–3 | 66.67% |
| C0RN vs Zafina | 4–4 | 50.00% |
| C0RN vs Heihachi | 2–6 | 25.00% |
| C0RN vs Panda | 5–2 | 71.43% |
| C0RN vs Anna | 2–2 | 50.00% |
| C0RN vs Clive | 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.