| Ne1l vs Hwoarang | 32–22 | 59.26% |
| Ne1l vs Armor King | 27–27 | 50.00% |
| Ne1l vs Jin | 28–21 | 57.14% |
| Ne1l vs Kazuya | 18–17 | 51.43% |
| Ne1l vs King | 13–21 | 38.24% |
| Ne1l vs Heihachi | 21–12 | 63.64% |
| Ne1l vs Bryan | 10–17 | 37.04% |
| Ne1l vs Dragunov | 17–10 | 62.96% |
| Ne1l vs Reina | 14–13 | 51.85% |
| Ne1l vs Yoshimitsu | 14–10 | 58.33% |
| Ne1l vs Jun | 15–9 | 62.50% |
| Ne1l vs Law | 16–6 | 72.73% |
| Ne1l vs Fahkumram | 14–8 | 63.64% |
| Ne1l vs Steve | 14–6 | 70.00% |
| Ne1l vs Lili | 10–9 | 52.63% |
| Ne1l vs Asuka | 6–12 | 33.33% |
| Ne1l vs Nina | 11–6 | 64.71% |
| Ne1l vs Paul | 7–9 | 43.75% |
| Ne1l vs Clive | 8–8 | 50.00% |
| Ne1l vs Miary Zo | 9–5 | 64.29% |
| Ne1l vs Eddy | 9–4 | 69.23% |
| Ne1l vs Devil Jin | 4–8 | 33.33% |
| Ne1l vs Lee | 8–4 | 66.67% |
| Ne1l vs Azucena | 5–7 | 41.67% |
| Ne1l vs Victor | 5–7 | 41.67% |
| Ne1l vs Lidia | 9–3 | 75.00% |
| Ne1l vs Anna | 9–2 | 81.82% |
| Ne1l vs Lars | 2–8 | 20.00% |
| Ne1l vs Claudio | 5–5 | 50.00% |
| Ne1l vs Leroy | 5–5 | 50.00% |
| Ne1l vs Jack-8 | 3–5 | 37.50% |
| Ne1l vs Xiaoyu | 5–2 | 71.43% |
| Ne1l vs Feng | 4–3 | 57.14% |
| Ne1l vs Panda | 4–1 | 80.00% |
| Ne1l vs Kuma | 4–0 | 100.00% |
| Ne1l vs Alisa | 1–2 | 33.33% |
| Ne1l vs Zafina | 1–2 | 33.33% |
| Ne1l vs Leo | 2–0 | 100.00% |
| Ne1l vs Raven | 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.