| NGNL vs Kazuya | 53–93 | 36.30% |
| NGNL vs Armor King | 44–85 | 34.11% |
| NGNL vs Dragunov | 45–64 | 41.28% |
| NGNL vs Heihachi | 36–69 | 34.29% |
| NGNL vs Reina | 47–56 | 45.63% |
| NGNL vs King | 45–55 | 45.00% |
| NGNL vs Jin | 47–51 | 47.96% |
| NGNL vs Bryan | 40–55 | 42.11% |
| NGNL vs Asuka | 36–50 | 41.86% |
| NGNL vs Paul | 34–49 | 40.96% |
| NGNL vs Fahkumram | 33–42 | 44.00% |
| NGNL vs Lili | 27–45 | 37.50% |
| NGNL vs Hwoarang | 23–41 | 35.94% |
| NGNL vs Steve | 30–30 | 50.00% |
| NGNL vs Law | 23–35 | 39.66% |
| NGNL vs Claudio | 19–35 | 35.19% |
| NGNL vs Lars | 21–32 | 39.62% |
| NGNL vs Xiaoyu | 25–23 | 52.08% |
| NGNL vs Jun | 21–25 | 45.65% |
| NGNL vs Nina | 21–21 | 50.00% |
| NGNL vs Alisa | 20–20 | 50.00% |
| NGNL vs Victor | 22–16 | 57.89% |
| NGNL vs Jack-8 | 20–17 | 54.05% |
| NGNL vs Anna | 13–20 | 39.39% |
| NGNL vs Devil Jin | 10–22 | 31.25% |
| NGNL vs Leo | 18–12 | 60.00% |
| NGNL vs Lee | 10–20 | 33.33% |
| NGNL vs Yoshimitsu | 13–15 | 46.43% |
| NGNL vs Clive | 7–20 | 25.93% |
| NGNL vs Kuma | 13–13 | 50.00% |
| NGNL vs Eddy | 12–13 | 48.00% |
| NGNL vs Feng | 9–15 | 37.50% |
| NGNL vs Lidia | 10–13 | 43.48% |
| NGNL vs Raven | 11–11 | 50.00% |
| NGNL vs Azucena | 9–12 | 42.86% |
| NGNL vs Leroy | 6–13 | 31.58% |
| NGNL vs Shaheen | 8–10 | 44.44% |
| NGNL vs Zafina | 2–3 | 40.00% |
| NGNL vs Panda | 0–3 | 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.