| N3ll090 vs King | 77–81 | 48.73% |
| N3ll090 vs Kazuya | 69–88 | 43.95% |
| N3ll090 vs Jin | 55–67 | 45.08% |
| N3ll090 vs Bryan | 37–60 | 38.14% |
| N3ll090 vs Paul | 39–48 | 44.83% |
| N3ll090 vs Reina | 46–39 | 54.12% |
| N3ll090 vs Law | 44–40 | 52.38% |
| N3ll090 vs Hwoarang | 31–44 | 41.33% |
| N3ll090 vs Yoshimitsu | 18–53 | 25.35% |
| N3ll090 vs Dragunov | 27–43 | 38.57% |
| N3ll090 vs Asuka | 29–26 | 52.73% |
| N3ll090 vs Azucena | 31–20 | 60.78% |
| N3ll090 vs Lars | 13–37 | 26.00% |
| N3ll090 vs Eddy | 21–28 | 42.86% |
| N3ll090 vs Lee | 29–19 | 60.42% |
| N3ll090 vs Steve | 20–24 | 45.45% |
| N3ll090 vs Jun | 16–28 | 36.36% |
| N3ll090 vs Feng | 17–25 | 40.48% |
| N3ll090 vs Devil Jin | 17–24 | 41.46% |
| N3ll090 vs Leroy | 20–21 | 48.78% |
| N3ll090 vs Xiaoyu | 17–22 | 43.59% |
| N3ll090 vs Lili | 15–22–1 | 40.54% |
| N3ll090 vs Nina | 17–21 | 44.74% |
| N3ll090 vs Alisa | 12–25 | 32.43% |
| N3ll090 vs Victor | 17–20 | 45.95% |
| N3ll090 vs Leo | 15–19 | 44.12% |
| N3ll090 vs Shaheen | 11–16 | 40.74% |
| N3ll090 vs Claudio | 12–14 | 46.15% |
| N3ll090 vs Raven | 16–7 | 69.57% |
| N3ll090 vs Kuma | 9–10 | 47.37% |
| N3ll090 vs Jack-8 | 8–10 | 44.44% |
| N3ll090 vs Zafina | 9–5 | 64.29% |
| N3ll090 vs Panda | 5–8 | 38.46% |
| N3ll090 vs Heihachi | 4–0 | 100.00% |
| N3ll090 vs Clive | 2–1 | 66.67% |
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.