| lawToPaw vs Kazuya | 456–584 | 43.85% |
| lawToPaw vs Jin | 395–497 | 44.28% |
| lawToPaw vs Hwoarang | 360–432 | 45.45% |
| lawToPaw vs Bryan | 236–345 | 40.62% |
| lawToPaw vs King | 274–280 | 49.46% |
| lawToPaw vs Paul | 259–270 | 48.96% |
| lawToPaw vs Law | 211–260 | 44.80% |
| lawToPaw vs Reina | 174–275 | 38.75% |
| lawToPaw vs Steve | 210–224 | 48.39% |
| lawToPaw vs Dragunov | 211–211 | 50.00% |
| lawToPaw vs Yoshimitsu | 165–212–1 | 43.77% |
| lawToPaw vs Lili | 158–213 | 42.59% |
| lawToPaw vs Heihachi | 162–174 | 48.21% |
| lawToPaw vs Nina | 192–132 | 59.26% |
| lawToPaw vs Devil Jin | 137–162 | 45.82% |
| lawToPaw vs Alisa | 124–133 | 48.25% |
| lawToPaw vs Lars | 134–118 | 53.17% |
| lawToPaw vs Asuka | 132–117 | 53.01% |
| lawToPaw vs Azucena | 132–110 | 54.55% |
| lawToPaw vs Eddy | 125–108 | 53.65% |
| lawToPaw vs Lee | 92–130 | 41.44% |
| lawToPaw vs Xiaoyu | 108–105 | 50.70% |
| lawToPaw vs Jun | 97–116 | 45.54% |
| lawToPaw vs Feng | 106–101 | 51.21% |
| lawToPaw vs Victor | 77–113 | 40.53% |
| lawToPaw vs Leroy | 87–77 | 53.05% |
| lawToPaw vs Lidia | 72–74 | 49.32% |
| lawToPaw vs Raven | 50–67 | 42.74% |
| lawToPaw vs Armor King | 37–73 | 33.64% |
| lawToPaw vs Leo | 53–56 | 48.62% |
| lawToPaw vs Jack-8 | 42–64 | 39.62% |
| lawToPaw vs Fahkumram | 41–62 | 39.81% |
| lawToPaw vs Claudio | 50–51 | 49.50% |
| lawToPaw vs Clive | 38–57 | 40.00% |
| lawToPaw vs Kuma | 45–49 | 47.87% |
| lawToPaw vs Anna | 35–55 | 38.89% |
| lawToPaw vs Shaheen | 29–36 | 44.62% |
| lawToPaw vs Zafina | 26–36 | 41.94% |
| lawToPaw vs Panda | 17–23 | 42.50% |
| lawToPaw vs Miary Zo | 5–9 | 35.71% |
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.