| nyang2Witch vs King | 67–13 | 83.75% |
| nyang2Witch vs Kazuya | 54–18 | 75.00% |
| nyang2Witch vs Hwoarang | 54–15 | 78.26% |
| nyang2Witch vs Paul | 51–15 | 77.27% |
| nyang2Witch vs Dragunov | 50–14 | 78.12% |
| nyang2Witch vs Steve | 44–11 | 80.00% |
| nyang2Witch vs Bryan | 40–11 | 78.43% |
| nyang2Witch vs Reina | 34–13 | 72.34% |
| nyang2Witch vs Jin | 37–8 | 82.22% |
| nyang2Witch vs Heihachi | 35–10 | 77.78% |
| nyang2Witch vs Jun | 33–9 | 78.57% |
| nyang2Witch vs Victor | 35–5 | 87.50% |
| nyang2Witch vs Devil Jin | 31–7 | 81.58% |
| nyang2Witch vs Lili | 27–10 | 72.97% |
| nyang2Witch vs Lidia | 26–10 | 72.22% |
| nyang2Witch vs Asuka | 23–8 | 74.19% |
| nyang2Witch vs Law | 23–7 | 76.67% |
| nyang2Witch vs Kuma | 21–9 | 70.00% |
| nyang2Witch vs Leroy | 24–5 | 82.76% |
| nyang2Witch vs Nina | 18–10 | 64.29% |
| nyang2Witch vs Lee | 20–8 | 71.43% |
| nyang2Witch vs Clive | 16–12 | 57.14% |
| nyang2Witch vs Lars | 15–12 | 55.56% |
| nyang2Witch vs Eddy | 20–5 | 80.00% |
| nyang2Witch vs Azucena | 19–5 | 79.17% |
| nyang2Witch vs Feng | 14–9 | 60.87% |
| nyang2Witch vs Alisa | 17–6 | 73.91% |
| nyang2Witch vs Leo | 18–4 | 81.82% |
| nyang2Witch vs Claudio | 15–7 | 68.18% |
| nyang2Witch vs Raven | 13–9 | 59.09% |
| nyang2Witch vs Yoshimitsu | 11–7 | 61.11% |
| nyang2Witch vs Shaheen | 17–1 | 94.44% |
| nyang2Witch vs Xiaoyu | 15–0 | 100.00% |
| nyang2Witch vs Jack-8 | 13–2 | 86.67% |
| nyang2Witch vs Zafina | 8–3 | 72.73% |
| nyang2Witch vs Armor King | 4–0 | 100.00% |
| nyang2Witch vs Anna | 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.