| Nell vs Bryan | 87–79 | 52.41% |
| Nell vs Kazuya | 91–56 | 61.90% |
| Nell vs Jin | 69–66 | 51.11% |
| Nell vs Steve | 73–53 | 57.94% |
| Nell vs King | 76–49 | 60.80% |
| Nell vs Hwoarang | 70–48 | 59.32% |
| Nell vs Reina | 51–59 | 46.36% |
| Nell vs Dragunov | 54–52 | 50.94% |
| Nell vs Yoshimitsu | 43–56 | 43.43% |
| Nell vs Lee | 47–43 | 52.22% |
| Nell vs Paul | 54–32 | 62.79% |
| Nell vs Devil Jin | 42–38 | 52.50% |
| Nell vs Lili | 51–19 | 72.86% |
| Nell vs Xiaoyu | 32–31 | 50.79% |
| Nell vs Law | 31–26 | 54.39% |
| Nell vs Asuka | 26–31 | 45.61% |
| Nell vs Feng | 34–20 | 62.96% |
| Nell vs Jun | 26–27 | 49.06% |
| Nell vs Raven | 23–30 | 43.40% |
| Nell vs Alisa | 23–26 | 46.94% |
| Nell vs Jack-8 | 17–27 | 38.64% |
| Nell vs Lars | 20–22 | 47.62% |
| Nell vs Claudio | 16–26 | 38.10% |
| Nell vs Nina | 27–15 | 64.29% |
| Nell vs Victor | 20–22 | 47.62% |
| Nell vs Leo | 22–19 | 53.66% |
| Nell vs Heihachi | 17–24 | 41.46% |
| Nell vs Fahkumram | 19–17 | 52.78% |
| Nell vs Azucena | 15–20 | 42.86% |
| Nell vs Kuma | 13–15 | 46.43% |
| Nell vs Zafina | 8–18 | 30.77% |
| Nell vs Leroy | 15–11 | 57.69% |
| Nell vs Eddy | 8–18 | 30.77% |
| Nell vs Clive | 9–9 | 50.00% |
| Nell vs Shaheen | 3–12 | 20.00% |
| Nell vs Anna | 9–5 | 64.29% |
| Nell vs Lidia | 5–8 | 38.46% |
| Nell vs Panda | 1–4 | 20.00% |
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.