| WNLOK vs Kazuya | 163–100 | 61.98% |
| WNLOK vs King | 118–100 | 54.13% |
| WNLOK vs Jin | 80–83 | 49.08% |
| WNLOK vs Hwoarang | 77–77 | 50.00% |
| WNLOK vs Dragunov | 81–70 | 53.64% |
| WNLOK vs Yoshimitsu | 65–70 | 48.15% |
| WNLOK vs Bryan | 72–61 | 54.14% |
| WNLOK vs Victor | 68–63 | 51.91% |
| WNLOK vs Heihachi | 85–46 | 64.89% |
| WNLOK vs Law | 72–54 | 57.14% |
| WNLOK vs Reina | 73–43 | 62.93% |
| WNLOK vs Nina | 52–57 | 47.71% |
| WNLOK vs Lee | 61–48 | 55.96% |
| WNLOK vs Steve | 61–42 | 59.22% |
| WNLOK vs Lili | 44–57 | 43.56% |
| WNLOK vs Devil Jin | 67–32 | 67.68% |
| WNLOK vs Paul | 49–47 | 51.04% |
| WNLOK vs Feng | 57–36 | 61.29% |
| WNLOK vs Lars | 44–45 | 49.44% |
| WNLOK vs Alisa | 43–45 | 48.86% |
| WNLOK vs Jack-8 | 39–42 | 48.15% |
| WNLOK vs Xiaoyu | 37–32 | 53.62% |
| WNLOK vs Eddy | 30–36 | 45.45% |
| WNLOK vs Kuma | 29–34 | 46.03% |
| WNLOK vs Asuka | 36–25 | 59.02% |
| WNLOK vs Shaheen | 26–34 | 43.33% |
| WNLOK vs Leroy | 28–28 | 50.00% |
| WNLOK vs Raven | 32–23 | 58.18% |
| WNLOK vs Claudio | 22–30 | 42.31% |
| WNLOK vs Lidia | 27–25 | 51.92% |
| WNLOK vs Leo | 18–26 | 40.91% |
| WNLOK vs Azucena | 23–20 | 53.49% |
| WNLOK vs Jun | 18–17 | 51.43% |
| WNLOK vs Zafina | 9–11 | 45.00% |
| WNLOK vs Fahkumram | 10–10 | 50.00% |
| WNLOK vs Anna | 12–7 | 63.16% |
| WNLOK vs Clive | 6–3 | 66.67% |
| WNLOK vs Panda | 4–2 | 66.67% |
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.