| NalKangDo vs Hwoarang | 144–116 | 55.38% |
| NalKangDo vs Bryan | 124–118 | 51.24% |
| NalKangDo vs Dragunov | 116–126 | 47.93% |
| NalKangDo vs Kazuya | 105–126 | 45.45% |
| NalKangDo vs King | 102–105 | 49.28% |
| NalKangDo vs Reina | 105–94 | 52.76% |
| NalKangDo vs Victor | 110–73 | 60.11% |
| NalKangDo vs Nina | 74–105 | 41.34% |
| NalKangDo vs Paul | 92–79 | 53.80% |
| NalKangDo vs Azucena | 88–69 | 56.05% |
| NalKangDo vs Jin | 69–83 | 45.39% |
| NalKangDo vs Lars | 75–75 | 50.00% |
| NalKangDo vs Leroy | 73–72 | 50.34% |
| NalKangDo vs Steve | 55–89 | 38.19% |
| NalKangDo vs Asuka | 63–81 | 43.75% |
| NalKangDo vs Law | 70–64 | 52.24% |
| NalKangDo vs Yoshimitsu | 61–70 | 46.56% |
| NalKangDo vs Lili | 55–66 | 45.45% |
| NalKangDo vs Eddy | 68–50 | 57.63% |
| NalKangDo vs Devil Jin | 54–63 | 46.15% |
| NalKangDo vs Feng | 61–56 | 52.14% |
| NalKangDo vs Lee | 56–60 | 48.28% |
| NalKangDo vs Jun | 54–60 | 47.37% |
| NalKangDo vs Alisa | 45–67 | 40.18% |
| NalKangDo vs Xiaoyu | 41–57 | 41.84% |
| NalKangDo vs Shaheen | 34–56 | 37.78% |
| NalKangDo vs Claudio | 49–40 | 55.06% |
| NalKangDo vs Jack-8 | 44–42 | 51.16% |
| NalKangDo vs Zafina | 38–46 | 45.24% |
| NalKangDo vs Raven | 37–42 | 46.84% |
| NalKangDo vs Leo | 37–38 | 49.33% |
| NalKangDo vs Kuma | 32–30 | 51.61% |
| NalKangDo vs Lidia | 21–22 | 48.84% |
| NalKangDo vs Panda | 22–6 | 78.57% |
| NalKangDo vs Heihachi | 8–8 | 50.00% |
| NalKangDo vs Anna | 2–11 | 15.38% |
| NalKangDo vs Clive | 2–4 | 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.