| N1C0fps vs Kazuya | 24–32 | 42.86% |
| N1C0fps vs Jin | 15–22 | 40.54% |
| N1C0fps vs Law | 18–16 | 52.94% |
| N1C0fps vs King | 12–15 | 44.44% |
| N1C0fps vs Steve | 13–14 | 48.15% |
| N1C0fps vs Yoshimitsu | 11–13 | 45.83% |
| N1C0fps vs Bryan | 9–15 | 37.50% |
| N1C0fps vs Reina | 11–13 | 45.83% |
| N1C0fps vs Victor | 10–13 | 43.48% |
| N1C0fps vs Lili | 9–13 | 40.91% |
| N1C0fps vs Eddy | 9–12 | 42.86% |
| N1C0fps vs Azucena | 11–9 | 55.00% |
| N1C0fps vs Paul | 5–13 | 27.78% |
| N1C0fps vs Dragunov | 3–13 | 18.75% |
| N1C0fps vs Hwoarang | 10–5 | 66.67% |
| N1C0fps vs Jun | 5–9 | 35.71% |
| N1C0fps vs Nina | 4–8 | 33.33% |
| N1C0fps vs Raven | 7–5 | 58.33% |
| N1C0fps vs Feng | 5–5 | 50.00% |
| N1C0fps vs Asuka | 5–4 | 55.56% |
| N1C0fps vs Lee | 2–7 | 22.22% |
| N1C0fps vs Heihachi | 7–2 | 77.78% |
| N1C0fps vs Xiaoyu | 3–5 | 37.50% |
| N1C0fps vs Lars | 3–5 | 37.50% |
| N1C0fps vs Zafina | 6–2 | 75.00% |
| N1C0fps vs Jack-8 | 5–1 | 83.33% |
| N1C0fps vs Claudio | 4–1 | 80.00% |
| N1C0fps vs Devil Jin | 3–1 | 75.00% |
| N1C0fps vs Alisa | 1–3 | 25.00% |
| N1C0fps vs Kuma | 2–2 | 50.00% |
| N1C0fps vs Leroy | 1–2 | 33.33% |
| N1C0fps vs Clive | 1–2 | 33.33% |
| N1C0fps vs Shaheen | 1–1 | 50.00% |
| N1C0fps vs Leo | 0–1 | 0.00% |
| N1C0fps vs Anna | 0–1 | 0.00% |
| N1C0fps vs Fahkumram | 0–1 | 0.00% |
| N1C0fps vs Miary Zo | 1–0 | 100.00% |
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.