| nero vs Kazuya | 37–30 | 55.22% |
| nero vs Armor King | 31–28 | 52.54% |
| nero vs King | 24–16 | 60.00% |
| nero vs Eddy | 20–18 | 52.63% |
| nero vs Jin | 22–14 | 61.11% |
| nero vs Steve | 22–13 | 62.86% |
| nero vs Reina | 11–18 | 37.93% |
| nero vs Yoshimitsu | 15–13 | 53.57% |
| nero vs Lili | 17–10 | 62.96% |
| nero vs Dragunov | 19–8 | 70.37% |
| nero vs Fahkumram | 10–16 | 38.46% |
| nero vs Heihachi | 12–13 | 48.00% |
| nero vs Law | 11–10 | 52.38% |
| nero vs Devil Jin | 9–11 | 45.00% |
| nero vs Hwoarang | 12–7 | 63.16% |
| nero vs Bryan | 7–10 | 41.18% |
| nero vs Victor | 9–6 | 60.00% |
| nero vs Xiaoyu | 8–6 | 57.14% |
| nero vs Azucena | 7–5 | 58.33% |
| nero vs Jun | 8–3 | 72.73% |
| nero vs Lidia | 3–8 | 27.27% |
| nero vs Asuka | 5–4 | 55.56% |
| nero vs Lars | 5–4 | 55.56% |
| nero vs Lee | 5–4 | 55.56% |
| nero vs Zafina | 5–4 | 55.56% |
| nero vs Paul | 3–5 | 37.50% |
| nero vs Claudio | 4–4 | 50.00% |
| nero vs Miary Zo | 3–5 | 37.50% |
| nero vs Jack-8 | 5–2 | 71.43% |
| nero vs Feng | 3–4 | 42.86% |
| nero vs Alisa | 4–3 | 57.14% |
| nero vs Nina | 4–2 | 66.67% |
| nero vs Leroy | 2–4 | 33.33% |
| nero vs Leo | 1–4 | 20.00% |
| nero vs Raven | 3–2 | 60.00% |
| nero vs Clive | 2–1 | 66.67% |
| nero vs Anna | 0–3 | 0.00% |
| nero vs Shaheen | 1–1 | 50.00% |
| nero vs Kuma | 1–0 | 100.00% |
| nero vs Panda | 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.