| NGGBB_NaNe vs Kazuya | 21–16 | 56.76% |
| NGGBB_NaNe vs Law | 17–17 | 50.00% |
| NGGBB_NaNe vs King | 14–16 | 46.67% |
| NGGBB_NaNe vs Steve | 17–12 | 58.62% |
| NGGBB_NaNe vs Lidia | 12–15 | 44.44% |
| NGGBB_NaNe vs Hwoarang | 8–18 | 30.77% |
| NGGBB_NaNe vs Jin | 7–15 | 31.82% |
| NGGBB_NaNe vs Bryan | 6–15 | 28.57% |
| NGGBB_NaNe vs Paul | 9–11 | 45.00% |
| NGGBB_NaNe vs Reina | 10–9 | 52.63% |
| NGGBB_NaNe vs Lili | 12–5 | 70.59% |
| NGGBB_NaNe vs Asuka | 5–11 | 31.25% |
| NGGBB_NaNe vs Lars | 7–8 | 46.67% |
| NGGBB_NaNe vs Jun | 4–11 | 26.67% |
| NGGBB_NaNe vs Azucena | 2–13 | 13.33% |
| NGGBB_NaNe vs Leroy | 11–3 | 78.57% |
| NGGBB_NaNe vs Eddy | 4–9 | 30.77% |
| NGGBB_NaNe vs Heihachi | 8–5 | 61.54% |
| NGGBB_NaNe vs Yoshimitsu | 5–7 | 41.67% |
| NGGBB_NaNe vs Devil Jin | 9–3 | 75.00% |
| NGGBB_NaNe vs Dragunov | 5–6 | 45.45% |
| NGGBB_NaNe vs Zafina | 5–5 | 50.00% |
| NGGBB_NaNe vs Xiaoyu | 3–6 | 33.33% |
| NGGBB_NaNe vs Feng | 4–5 | 44.44% |
| NGGBB_NaNe vs Kuma | 5–4 | 55.56% |
| NGGBB_NaNe vs Clive | 6–3 | 66.67% |
| NGGBB_NaNe vs Fahkumram | 6–3 | 66.67% |
| NGGBB_NaNe vs Shaheen | 6–0 | 100.00% |
| NGGBB_NaNe vs Lee | 2–4 | 33.33% |
| NGGBB_NaNe vs Raven | 3–3 | 50.00% |
| NGGBB_NaNe vs Victor | 0–5 | 0.00% |
| NGGBB_NaNe vs Leo | 2–2 | 50.00% |
| NGGBB_NaNe vs Claudio | 2–2 | 50.00% |
| NGGBB_NaNe vs Jack-8 | 0–3 | 0.00% |
| NGGBB_NaNe vs Nina | 2–1 | 66.67% |
| NGGBB_NaNe vs Anna | 2–1 | 66.67% |
| NGGBB_NaNe vs Armor King | 2–1 | 66.67% |
| NGGBB_NaNe vs Alisa | 2–0 | 100.00% |
| NGGBB_NaNe vs Panda | 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.