| Nics vs Steve | 26–17 | 60.47% |
| Nics vs Jin | 21–21 | 50.00% |
| Nics vs Dragunov | 19–14 | 57.58% |
| Nics vs Bryan | 17–15 | 53.12% |
| Nics vs King | 13–14 | 48.15% |
| Nics vs Reina | 14–13 | 51.85% |
| Nics vs Paul | 10–13 | 43.48% |
| Nics vs Azucena | 10–12 | 45.45% |
| Nics vs Fahkumram | 7–15 | 31.82% |
| Nics vs Hwoarang | 8–13 | 38.10% |
| Nics vs Heihachi | 8–13 | 38.10% |
| Nics vs Law | 10–10 | 50.00% |
| Nics vs Asuka | 15–5 | 75.00% |
| Nics vs Kazuya | 6–12 | 33.33% |
| Nics vs Victor | 6–12 | 33.33% |
| Nics vs Devil Jin | 7–9 | 43.75% |
| Nics vs Nina | 5–11 | 31.25% |
| Nics vs Lee | 13–3 | 81.25% |
| Nics vs Xiaoyu | 7–7 | 50.00% |
| Nics vs Claudio | 8–6 | 57.14% |
| Nics vs Lidia | 0–14 | 0.00% |
| Nics vs Jun | 5–8 | 38.46% |
| Nics vs Yoshimitsu | 6–6 | 50.00% |
| Nics vs Alisa | 7–5 | 58.33% |
| Nics vs Clive | 5–7 | 41.67% |
| Nics vs Lili | 8–2 | 80.00% |
| Nics vs Eddy | 4–5 | 44.44% |
| Nics vs Shaheen | 3–5 | 37.50% |
| Nics vs Raven | 3–5 | 37.50% |
| Nics vs Leroy | 3–4 | 42.86% |
| Nics vs Armor King | 0–7 | 0.00% |
| Nics vs Feng | 4–2 | 66.67% |
| Nics vs Lars | 3–3 | 50.00% |
| Nics vs Panda | 0–6 | 0.00% |
| Nics vs Zafina | 2–4 | 33.33% |
| Nics vs Leo | 4–1 | 80.00% |
| Nics vs Kuma | 3–2 | 60.00% |
| Nics vs Anna | 4–1 | 80.00% |
| Nics vs Jack-8 | 0–4 | 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.