| PKNNM vs King | 94–88 | 51.65% |
| PKNNM vs Law | 67–59 | 53.17% |
| PKNNM vs Kazuya | 74–48 | 60.66% |
| PKNNM vs Steve | 57–65 | 46.72% |
| PKNNM vs Jin | 54–66 | 45.00% |
| PKNNM vs Bryan | 58–55 | 51.33% |
| PKNNM vs Lars | 60–41 | 59.41% |
| PKNNM vs Hwoarang | 43–55 | 43.88% |
| PKNNM vs Azucena | 41–41 | 50.00% |
| PKNNM vs Reina | 35–40 | 46.67% |
| PKNNM vs Feng | 28–34 | 45.16% |
| PKNNM vs Asuka | 44–15 | 74.58% |
| PKNNM vs Leo | 26–33 | 44.07% |
| PKNNM vs Heihachi | 32–27 | 54.24% |
| PKNNM vs Paul | 22–35 | 38.60% |
| PKNNM vs Xiaoyu | 26–31 | 45.61% |
| PKNNM vs Jun | 34–23 | 59.65% |
| PKNNM vs Yoshimitsu | 26–29 | 47.27% |
| PKNNM vs Dragunov | 29–26 | 52.73% |
| PKNNM vs Lili | 35–19 | 64.81% |
| PKNNM vs Victor | 30–24 | 55.56% |
| PKNNM vs Clive | 32–19 | 62.75% |
| PKNNM vs Devil Jin | 21–28 | 42.86% |
| PKNNM vs Lidia | 27–19 | 58.70% |
| PKNNM vs Lee | 16–27 | 37.21% |
| PKNNM vs Nina | 20–21 | 48.78% |
| PKNNM vs Eddy | 22–16 | 57.89% |
| PKNNM vs Alisa | 15–22 | 40.54% |
| PKNNM vs Raven | 14–21 | 40.00% |
| PKNNM vs Leroy | 11–20 | 35.48% |
| PKNNM vs Jack-8 | 16–14 | 53.33% |
| PKNNM vs Kuma | 9–11 | 45.00% |
| PKNNM vs Claudio | 5–9 | 35.71% |
| PKNNM vs Zafina | 7–5 | 58.33% |
| PKNNM vs Shaheen | 7–3 | 70.00% |
| PKNNM vs Fahkumram | 4–3 | 57.14% |
| PKNNM vs Anna | 3–2 | 60.00% |
| PKNNM vs Panda | 1–2 | 33.33% |
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.