| Shminaldi vs King | 43–66 | 39.45% |
| Shminaldi vs Steve | 36–55 | 39.56% |
| Shminaldi vs Kazuya | 36–48–1 | 42.86% |
| Shminaldi vs Jin | 26–52 | 33.33% |
| Shminaldi vs Reina | 44–34 | 56.41% |
| Shminaldi vs Dragunov | 31–42 | 42.47% |
| Shminaldi vs Law | 31–39 | 44.29% |
| Shminaldi vs Bryan | 24–40 | 37.50% |
| Shminaldi vs Jun | 27–29 | 48.21% |
| Shminaldi vs Heihachi | 26–29 | 47.27% |
| Shminaldi vs Hwoarang | 24–24 | 50.00% |
| Shminaldi vs Lidia | 21–25 | 45.65% |
| Shminaldi vs Azucena | 19–26 | 42.22% |
| Shminaldi vs Eddy | 20–25 | 44.44% |
| Shminaldi vs Lars | 14–30 | 31.82% |
| Shminaldi vs Fahkumram | 12–32 | 27.27% |
| Shminaldi vs Clive | 10–33 | 23.26% |
| Shminaldi vs Paul | 21–21 | 50.00% |
| Shminaldi vs Asuka | 20–19 | 51.28% |
| Shminaldi vs Lili | 22–17 | 56.41% |
| Shminaldi vs Leroy | 14–19 | 42.42% |
| Shminaldi vs Yoshimitsu | 17–12 | 58.62% |
| Shminaldi vs Raven | 13–14 | 48.15% |
| Shminaldi vs Nina | 14–10 | 58.33% |
| Shminaldi vs Victor | 12–12 | 50.00% |
| Shminaldi vs Lee | 9–13 | 40.91% |
| Shminaldi vs Jack-8 | 10–9 | 52.63% |
| Shminaldi vs Xiaoyu | 4–13 | 23.53% |
| Shminaldi vs Feng | 10–7 | 58.82% |
| Shminaldi vs Claudio | 7–9 | 43.75% |
| Shminaldi vs Kuma | 7–9 | 43.75% |
| Shminaldi vs Devil Jin | 7–6 | 53.85% |
| Shminaldi vs Leo | 7–5 | 58.33% |
| Shminaldi vs Anna | 3–8 | 27.27% |
| Shminaldi vs Shaheen | 3–7 | 30.00% |
| Shminaldi vs Armor King | 4–5 | 44.44% |
| Shminaldi vs Alisa | 4–4 | 50.00% |
| Shminaldi vs Panda | 2–5 | 28.57% |
| Shminaldi vs Miary Zo | 0–2 | 0.00% |
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.