| Nesha vs King | 39–50 | 43.82% |
| Nesha vs Jin | 30–20 | 60.00% |
| Nesha vs Lili | 13–26 | 33.33% |
| Nesha vs Hwoarang | 21–16 | 56.76% |
| Nesha vs Bryan | 14–21 | 40.00% |
| Nesha vs Reina | 15–18 | 45.45% |
| Nesha vs Kazuya | 13–17 | 43.33% |
| Nesha vs Steve | 17–12 | 58.62% |
| Nesha vs Law | 11–15 | 42.31% |
| Nesha vs Azucena | 10–11 | 47.62% |
| Nesha vs Heihachi | 9–12 | 42.86% |
| Nesha vs Dragunov | 7–13 | 35.00% |
| Nesha vs Jun | 5–15 | 25.00% |
| Nesha vs Eddy | 4–16 | 20.00% |
| Nesha vs Victor | 6–11 | 35.29% |
| Nesha vs Asuka | 8–7 | 53.33% |
| Nesha vs Lars | 4–11 | 26.67% |
| Nesha vs Yoshimitsu | 7–7 | 50.00% |
| Nesha vs Lidia | 1–13 | 7.14% |
| Nesha vs Clive | 7–7 | 50.00% |
| Nesha vs Lee | 8–5 | 61.54% |
| Nesha vs Leroy | 7–6 | 53.85% |
| Nesha vs Jack-8 | 2–10 | 16.67% |
| Nesha vs Kuma | 4–8 | 33.33% |
| Nesha vs Xiaoyu | 6–4 | 60.00% |
| Nesha vs Leo | 2–8 | 20.00% |
| Nesha vs Paul | 6–3 | 66.67% |
| Nesha vs Fahkumram | 8–1 | 88.89% |
| Nesha vs Devil Jin | 3–4 | 42.86% |
| Nesha vs Feng | 4–3 | 57.14% |
| Nesha vs Nina | 1–6 | 14.29% |
| Nesha vs Panda | 2–5 | 28.57% |
| Nesha vs Raven | 4–2 | 66.67% |
| Nesha vs Claudio | 1–4 | 20.00% |
| Nesha vs Armor King | 0–5 | 0.00% |
| Nesha vs Zafina | 3–1 | 75.00% |
| Nesha vs Shaheen | 0–2 | 0.00% |
| Nesha vs Alisa | 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.