| NANI vs King | 25–30 | 45.45% |
| NANI vs Reina | 20–28 | 41.67% |
| NANI vs Lili | 21–24 | 46.67% |
| NANI vs Jin | 11–30 | 26.83% |
| NANI vs Hwoarang | 18–18 | 50.00% |
| NANI vs Kazuya | 10–26 | 27.78% |
| NANI vs Dragunov | 10–25 | 28.57% |
| NANI vs Paul | 15–16 | 48.39% |
| NANI vs Asuka | 10–19 | 34.48% |
| NANI vs Victor | 6–22 | 21.43% |
| NANI vs Clive | 10–15 | 40.00% |
| NANI vs Bryan | 7–17 | 29.17% |
| NANI vs Azucena | 6–14 | 30.00% |
| NANI vs Claudio | 6–13 | 31.58% |
| NANI vs Jun | 5–13 | 27.78% |
| NANI vs Steve | 2–15 | 11.76% |
| NANI vs Yoshimitsu | 6–10 | 37.50% |
| NANI vs Jack-8 | 3–12 | 20.00% |
| NANI vs Devil Jin | 1–13 | 7.14% |
| NANI vs Law | 5–8 | 38.46% |
| NANI vs Alisa | 1–12 | 7.69% |
| NANI vs Heihachi | 3–10 | 23.08% |
| NANI vs Lars | 3–8 | 27.27% |
| NANI vs Xiaoyu | 5–5 | 50.00% |
| NANI vs Leo | 2–8 | 20.00% |
| NANI vs Armor King | 3–7 | 30.00% |
| NANI vs Feng | 4–4 | 50.00% |
| NANI vs Kuma | 1–7 | 12.50% |
| NANI vs Lidia | 1–7 | 12.50% |
| NANI vs Nina | 1–5 | 16.67% |
| NANI vs Leroy | 4–2 | 66.67% |
| NANI vs Panda | 0–4 | 0.00% |
| NANI vs Raven | 1–3 | 25.00% |
| NANI vs Eddy | 0–4 | 0.00% |
| NANI vs Lee | 2–1 | 66.67% |
| NANI vs Fahkumram | 3–0 | 100.00% |
| NANI vs Shaheen | 2–0 | 100.00% |
| NANI vs Zafina | 2–0 | 100.00% |
| NANI vs Anna | 1–0 | 100.00% |
| NANI vs Miary Zo | 0–1 | 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.