| #NeverLab vs Kazuya | 333–364 | 47.78% |
| #NeverLab vs Jin | 319–340 | 48.41% |
| #NeverLab vs King | 355–280–1 | 55.91% |
| #NeverLab vs Bryan | 269–323 | 45.44% |
| #NeverLab vs Reina | 268–279 | 48.99% |
| #NeverLab vs Steve | 260–256 | 50.39% |
| #NeverLab vs Hwoarang | 259–252 | 50.68% |
| #NeverLab vs Law | 258–207 | 55.48% |
| #NeverLab vs Dragunov | 224–205 | 52.21% |
| #NeverLab vs Lee | 168–228 | 42.42% |
| #NeverLab vs Lili | 191–186 | 50.66% |
| #NeverLab vs Yoshimitsu | 170–185 | 47.89% |
| #NeverLab vs Heihachi | 143–206 | 40.97% |
| #NeverLab vs Lars | 160–169 | 48.63% |
| #NeverLab vs Paul | 135–186 | 42.06% |
| #NeverLab vs Devil Jin | 144–175 | 45.14% |
| #NeverLab vs Jun | 155–164 | 48.59% |
| #NeverLab vs Azucena | 168–138 | 54.90% |
| #NeverLab vs Asuka | 146–154 | 48.67% |
| #NeverLab vs Raven | 127–144 | 46.86% |
| #NeverLab vs Victor | 128–134 | 48.85% |
| #NeverLab vs Eddy | 123–132 | 48.24% |
| #NeverLab vs Xiaoyu | 124–121 | 50.61% |
| #NeverLab vs Nina | 107–126 | 45.92% |
| #NeverLab vs Feng | 95–134 | 41.48% |
| #NeverLab vs Leo | 104–118 | 46.85% |
| #NeverLab vs Leroy | 91–115 | 44.17% |
| #NeverLab vs Lidia | 110–89 | 55.28% |
| #NeverLab vs Alisa | 84–105 | 44.44% |
| #NeverLab vs Jack-8 | 86–92 | 48.31% |
| #NeverLab vs Zafina | 71–96 | 42.51% |
| #NeverLab vs Claudio | 71–95 | 42.77% |
| #NeverLab vs Shaheen | 53–71 | 42.74% |
| #NeverLab vs Clive | 47–66 | 41.59% |
| #NeverLab vs Kuma | 56–56 | 50.00% |
| #NeverLab vs Panda | 9–20 | 31.03% |
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.