| chopped unc vs Bryan | 62–29 | 68.13% |
| chopped unc vs Armor King | 28–21 | 57.14% |
| chopped unc vs King | 27–21 | 56.25% |
| chopped unc vs Kazuya | 30–16 | 65.22% |
| chopped unc vs Dragunov | 22–21 | 51.16% |
| chopped unc vs Nina | 15–25 | 37.50% |
| chopped unc vs Lee | 19–21 | 47.50% |
| chopped unc vs Steve | 21–14 | 60.00% |
| chopped unc vs Heihachi | 21–14 | 60.00% |
| chopped unc vs Yoshimitsu | 22–12 | 64.71% |
| chopped unc vs Hwoarang | 20–14 | 58.82% |
| chopped unc vs Reina | 14–20 | 41.18% |
| chopped unc vs Devil Jin | 19–13 | 59.38% |
| chopped unc vs Jin | 13–18 | 41.94% |
| chopped unc vs Lili | 18–9 | 66.67% |
| chopped unc vs Paul | 20–6 | 76.92% |
| chopped unc vs Xiaoyu | 17–8 | 68.00% |
| chopped unc vs Feng | 14–11 | 56.00% |
| chopped unc vs Azucena | 15–9 | 62.50% |
| chopped unc vs Asuka | 15–8 | 65.22% |
| chopped unc vs Jack-8 | 16–6 | 72.73% |
| chopped unc vs Shaheen | 12–10 | 54.55% |
| chopped unc vs Lars | 10–9 | 52.63% |
| chopped unc vs Raven | 6–11 | 35.29% |
| chopped unc vs Victor | 8–8 | 50.00% |
| chopped unc vs Claudio | 7–7 | 50.00% |
| chopped unc vs Fahkumram | 4–9 | 30.77% |
| chopped unc vs Jun | 11–1 | 91.67% |
| chopped unc vs Anna | 4–8 | 33.33% |
| chopped unc vs Law | 7–4 | 63.64% |
| chopped unc vs Leo | 4–7 | 36.36% |
| chopped unc vs Zafina | 3–7 | 30.00% |
| chopped unc vs Alisa | 6–2 | 75.00% |
| chopped unc vs Kuma | 4–3 | 57.14% |
| chopped unc vs Clive | 3–4 | 42.86% |
| chopped unc vs Eddy | 3–3 | 50.00% |
| chopped unc vs Panda | 4–1 | 80.00% |
| chopped unc vs Leroy | 2–2 | 50.00% |
| chopped unc vs Lidia | 0–3 | 0.00% |
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.