| NickM vs Kazuya | 29–30 | 49.15% |
| NickM vs King | 20–15 | 57.14% |
| NickM vs Clive | 22–12 | 64.71% |
| NickM vs Law | 15–16 | 48.39% |
| NickM vs Jin | 13–18 | 41.94% |
| NickM vs Lili | 22–6 | 78.57% |
| NickM vs Bryan | 17–10 | 62.96% |
| NickM vs Hwoarang | 14–12 | 53.85% |
| NickM vs Reina | 17–8 | 68.00% |
| NickM vs Feng | 13–11 | 54.17% |
| NickM vs Steve | 13–8 | 61.90% |
| NickM vs Azucena | 8–12 | 40.00% |
| NickM vs Paul | 9–10 | 47.37% |
| NickM vs Devil Jin | 11–8 | 57.89% |
| NickM vs Yoshimitsu | 9–9 | 50.00% |
| NickM vs Heihachi | 9–7 | 56.25% |
| NickM vs Asuka | 11–4 | 73.33% |
| NickM vs Xiaoyu | 9–5 | 64.29% |
| NickM vs Jun | 7–7 | 50.00% |
| NickM vs Dragunov | 6–6 | 50.00% |
| NickM vs Lee | 3–9 | 25.00% |
| NickM vs Victor | 5–7 | 41.67% |
| NickM vs Fahkumram | 8–4 | 66.67% |
| NickM vs Eddy | 2–8 | 20.00% |
| NickM vs Jack-8 | 4–4 | 50.00% |
| NickM vs Lidia | 5–3 | 62.50% |
| NickM vs Raven | 5–2 | 71.43% |
| NickM vs Leo | 2–4 | 33.33% |
| NickM vs Alisa | 3–3 | 50.00% |
| NickM vs Claudio | 4–2 | 66.67% |
| NickM vs Leroy | 2–4 | 33.33% |
| NickM vs Lars | 4–1 | 80.00% |
| NickM vs Nina | 3–2 | 60.00% |
| NickM vs Kuma | 4–1 | 80.00% |
| NickM vs Zafina | 1–3 | 25.00% |
| NickM vs Anna | 2–2 | 50.00% |
| NickM vs Armor King | 2–1 | 66.67% |
| NickM vs Miary Zo | 2–0 | 100.00% |
| NickM 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.