| 2s0lidd vs King | 79–77 | 50.64% |
| 2s0lidd vs Kazuya | 77–59 | 56.62% |
| 2s0lidd vs Jin | 73–59 | 55.30% |
| 2s0lidd vs Steve | 53–50 | 51.46% |
| 2s0lidd vs Hwoarang | 56–43 | 56.57% |
| 2s0lidd vs Armor King | 46–53 | 46.46% |
| 2s0lidd vs Bryan | 39–57 | 40.62% |
| 2s0lidd vs Dragunov | 32–57 | 35.96% |
| 2s0lidd vs Reina | 31–57 | 35.23% |
| 2s0lidd vs Law | 47–39 | 54.65% |
| 2s0lidd vs Heihachi | 41–41 | 50.00% |
| 2s0lidd vs Lee | 31–47 | 39.74% |
| 2s0lidd vs Jun | 33–40 | 45.21% |
| 2s0lidd vs Azucena | 35–38 | 47.95% |
| 2s0lidd vs Miary Zo | 35–36 | 49.30% |
| 2s0lidd vs Lili | 34–36 | 48.57% |
| 2s0lidd vs Paul | 36–30 | 54.55% |
| 2s0lidd vs Eddy | 29–30 | 49.15% |
| 2s0lidd vs Lars | 28–30 | 48.28% |
| 2s0lidd vs Raven | 23–31 | 42.59% |
| 2s0lidd vs Xiaoyu | 23–30 | 43.40% |
| 2s0lidd vs Clive | 29–24 | 54.72% |
| 2s0lidd vs Fahkumram | 19–29 | 39.58% |
| 2s0lidd vs Alisa | 18–27 | 40.00% |
| 2s0lidd vs Lidia | 25–20 | 55.56% |
| 2s0lidd vs Feng | 27–15 | 64.29% |
| 2s0lidd vs Asuka | 25–15 | 62.50% |
| 2s0lidd vs Devil Jin | 14–25 | 35.90% |
| 2s0lidd vs Yoshimitsu | 14–23 | 37.84% |
| 2s0lidd vs Anna | 16–20 | 44.44% |
| 2s0lidd vs Jack-8 | 15–20 | 42.86% |
| 2s0lidd vs Victor | 13–22 | 37.14% |
| 2s0lidd vs Leo | 16–17 | 48.48% |
| 2s0lidd vs Leroy | 6–25 | 19.35% |
| 2s0lidd vs Claudio | 10–20 | 33.33% |
| 2s0lidd vs Kuma | 11–18 | 37.93% |
| 2s0lidd vs Nina | 10–18 | 35.71% |
| 2s0lidd vs Panda | 5–12 | 29.41% |
| 2s0lidd vs Zafina | 3–11 | 21.43% |
| 2s0lidd vs Shaheen | 4–7 | 36.36% |
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.