| LegoDab211 vs Jin | 104–102 | 50.49% |
| LegoDab211 vs Bryan | 100–92 | 52.08% |
| LegoDab211 vs Kazuya | 97–87 | 52.72% |
| LegoDab211 vs King | 91–89 | 50.56% |
| LegoDab211 vs Reina | 84–90 | 48.28% |
| LegoDab211 vs Hwoarang | 89–81 | 52.35% |
| LegoDab211 vs Law | 91–76 | 54.49% |
| LegoDab211 vs Steve | 69–72 | 48.94% |
| LegoDab211 vs Lili | 59–70 | 45.74% |
| LegoDab211 vs Lee | 58–70–1 | 45.31% |
| LegoDab211 vs Azucena | 63–61 | 50.81% |
| LegoDab211 vs Asuka | 59–55 | 51.75% |
| LegoDab211 vs Dragunov | 53–54–1 | 49.53% |
| LegoDab211 vs Jun | 61–42 | 59.22% |
| LegoDab211 vs Lars | 60–40 | 60.00% |
| LegoDab211 vs Leo | 36–60 | 37.50% |
| LegoDab211 vs Xiaoyu | 45–45 | 50.00% |
| LegoDab211 vs Lidia | 46–41 | 52.87% |
| LegoDab211 vs Armor King | 42–42 | 50.00% |
| LegoDab211 vs Fahkumram | 35–46 | 43.21% |
| LegoDab211 vs Yoshimitsu | 32–46 | 41.03% |
| LegoDab211 vs Paul | 42–35 | 54.55% |
| LegoDab211 vs Feng | 29–40 | 42.03% |
| LegoDab211 vs Devil Jin | 29–39 | 42.65% |
| LegoDab211 vs Nina | 30–34 | 46.88% |
| LegoDab211 vs Victor | 31–33 | 48.44% |
| LegoDab211 vs Heihachi | 27–35 | 43.55% |
| LegoDab211 vs Alisa | 31–30 | 50.82% |
| LegoDab211 vs Leroy | 35–23 | 60.34% |
| LegoDab211 vs Jack-8 | 33–23 | 58.93% |
| LegoDab211 vs Clive | 28–26 | 51.85% |
| LegoDab211 vs Raven | 24–24 | 50.00% |
| LegoDab211 vs Anna | 18–20 | 47.37% |
| LegoDab211 vs Eddy | 18–19 | 48.65% |
| LegoDab211 vs Claudio | 20–13 | 60.61% |
| LegoDab211 vs Miary Zo | 18–13 | 58.06% |
| LegoDab211 vs Kuma | 9–18 | 33.33% |
| LegoDab211 vs Zafina | 14–13 | 51.85% |
| LegoDab211 vs Shaheen | 13–10 | 56.52% |
| LegoDab211 vs Panda | 6–12 | 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.