| Nepgear vs King | 30–21 | 58.82% |
| Nepgear vs Jin | 25–23 | 52.08% |
| Nepgear vs Lidia | 27–21 | 56.25% |
| Nepgear vs Reina | 26–20 | 56.52% |
| Nepgear vs Kazuya | 25–9 | 73.53% |
| Nepgear vs Yoshimitsu | 17–14 | 54.84% |
| Nepgear vs Xiaoyu | 13–15 | 46.43% |
| Nepgear vs Hwoarang | 15–11 | 57.69% |
| Nepgear vs Steve | 20–6 | 76.92% |
| Nepgear vs Asuka | 11–15 | 42.31% |
| Nepgear vs Law | 13–12 | 52.00% |
| Nepgear vs Lili | 13–12 | 52.00% |
| Nepgear vs Jun | 13–8 | 61.90% |
| Nepgear vs Paul | 13–7 | 65.00% |
| Nepgear vs Dragunov | 10–10 | 50.00% |
| Nepgear vs Lee | 8–12 | 40.00% |
| Nepgear vs Lars | 10–7 | 58.82% |
| Nepgear vs Bryan | 9–7 | 56.25% |
| Nepgear vs Azucena | 11–5 | 68.75% |
| Nepgear vs Alisa | 10–5 | 66.67% |
| Nepgear vs Devil Jin | 7–7 | 50.00% |
| Nepgear vs Kuma | 5–7 | 41.67% |
| Nepgear vs Victor | 7–3 | 70.00% |
| Nepgear vs Eddy | 7–3 | 70.00% |
| Nepgear vs Feng | 6–3 | 66.67% |
| Nepgear vs Raven | 7–1 | 87.50% |
| Nepgear vs Jack-8 | 4–2 | 66.67% |
| Nepgear vs Claudio | 5–1 | 83.33% |
| Nepgear vs Nina | 4–1 | 80.00% |
| Nepgear vs Zafina | 2–2 | 50.00% |
| Nepgear vs Shaheen | 2–1 | 66.67% |
| Nepgear vs Panda | 3–0 | 100.00% |
| Nepgear vs Clive | 1–2 | 33.33% |
| Nepgear vs Leo | 2–0 | 100.00% |
| Nepgear vs Leroy | 0–2 | 0.00% |
| Nepgear vs Heihachi | 1–1 | 50.00% |
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.