| Shnawg0 vs Kazuya | 155–207 | 42.82% |
| Shnawg0 vs Jin | 171–133–1 | 56.25% |
| Shnawg0 vs Bryan | 142–129 | 52.40% |
| Shnawg0 vs King | 114–127–1 | 47.30% |
| Shnawg0 vs Steve | 109–109 | 50.00% |
| Shnawg0 vs Heihachi | 91–106 | 46.19% |
| Shnawg0 vs Armor King | 85–110 | 43.59% |
| Shnawg0 vs Reina | 104–85 | 55.03% |
| Shnawg0 vs Law | 84–92 | 47.73% |
| Shnawg0 vs Yoshimitsu | 89–65 | 57.79% |
| Shnawg0 vs Lili | 57–92 | 38.26% |
| Shnawg0 vs Dragunov | 73–75 | 49.32% |
| Shnawg0 vs Hwoarang | 53–89 | 37.32% |
| Shnawg0 vs Devil Jin | 60–68 | 46.88% |
| Shnawg0 vs Fahkumram | 64–60 | 51.61% |
| Shnawg0 vs Paul | 54–64 | 45.76% |
| Shnawg0 vs Jun | 33–48 | 40.74% |
| Shnawg0 vs Azucena | 41–32 | 56.16% |
| Shnawg0 vs Feng | 27–45 | 37.50% |
| Shnawg0 vs Lee | 25–44 | 36.23% |
| Shnawg0 vs Victor | 33–36 | 47.83% |
| Shnawg0 vs Nina | 24–42 | 36.36% |
| Shnawg0 vs Eddy | 29–37 | 43.94% |
| Shnawg0 vs Miary Zo | 33–31 | 51.56% |
| Shnawg0 vs Clive | 24–36 | 40.00% |
| Shnawg0 vs Alisa | 32–27 | 54.24% |
| Shnawg0 vs Anna | 25–34 | 42.37% |
| Shnawg0 vs Lars | 25–33 | 43.10% |
| Shnawg0 vs Leroy | 21–35 | 37.50% |
| Shnawg0 vs Asuka | 22–28 | 44.00% |
| Shnawg0 vs Leo | 20–29 | 40.82% |
| Shnawg0 vs Lidia | 17–30 | 36.17% |
| Shnawg0 vs Claudio | 23–22 | 51.11% |
| Shnawg0 vs Raven | 13–32 | 28.89% |
| Shnawg0 vs Zafina | 20–22 | 47.62% |
| Shnawg0 vs Shaheen | 20–21 | 48.78% |
| Shnawg0 vs Xiaoyu | 9–29 | 23.68% |
| Shnawg0 vs Jack-8 | 14–23 | 37.84% |
| Shnawg0 vs Kuma | 6–6 | 50.00% |
| Shnawg0 vs Panda | 5–5 | 50.00% |
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.