| NoLabs vs King | 289–396 | 42.19% |
| NoLabs vs Kazuya | 261–335 | 43.79% |
| NoLabs vs Jin | 213–317–1 | 40.19% |
| NoLabs vs Bryan | 206–268 | 43.46% |
| NoLabs vs Reina | 245–209–1 | 53.96% |
| NoLabs vs Heihachi | 173–243 | 41.59% |
| NoLabs vs Dragunov | 169–231 | 42.25% |
| NoLabs vs Steve | 212–185 | 53.40% |
| NoLabs vs Law | 171–220 | 43.73% |
| NoLabs vs Eddy | 170–212 | 44.50% |
| NoLabs vs Hwoarang | 173–197–1 | 46.76% |
| NoLabs vs Yoshimitsu | 161–176 | 47.77% |
| NoLabs vs Jun | 142–170–1 | 45.51% |
| NoLabs vs Lee | 135–159 | 45.92% |
| NoLabs vs Azucena | 138–154 | 47.26% |
| NoLabs vs Lars | 131–143 | 47.81% |
| NoLabs vs Paul | 107–147 | 42.13% |
| NoLabs vs Lili | 109–140 | 43.78% |
| NoLabs vs Asuka | 103–120 | 46.19% |
| NoLabs vs Fahkumram | 96–125 | 43.44% |
| NoLabs vs Victor | 95–125 | 43.18% |
| NoLabs vs Clive | 100–116 | 46.30% |
| NoLabs vs Devil Jin | 77–137 | 35.98% |
| NoLabs vs Nina | 83–124 | 40.10% |
| NoLabs vs Feng | 89–117 | 43.20% |
| NoLabs vs Xiaoyu | 97–100 | 49.24% |
| NoLabs vs Jack-8 | 87–97 | 47.28% |
| NoLabs vs Armor King | 82–102 | 44.57% |
| NoLabs vs Lidia | 83–93 | 47.16% |
| NoLabs vs Leo | 86–88 | 49.43% |
| NoLabs vs Raven | 86–87 | 49.71% |
| NoLabs vs Alisa | 56–99 | 36.13% |
| NoLabs vs Leroy | 71–79 | 47.33% |
| NoLabs vs Claudio | 69–60 | 53.49% |
| NoLabs vs Kuma | 45–71 | 38.79% |
| NoLabs vs Anna | 38–73 | 34.23% |
| NoLabs vs Shaheen | 34–45 | 43.04% |
| NoLabs vs Zafina | 29–38–1 | 43.28% |
| NoLabs vs Panda | 22–23 | 48.89% |
| NoLabs vs Miary Zo | 7–22 | 24.14% |
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.