| yt.Smiles vs Bryan | 95–92 | 50.80% |
| yt.Smiles vs Hwoarang | 90–89 | 50.28% |
| yt.Smiles vs King | 91–81 | 52.91% |
| yt.Smiles vs Steve | 92–79 | 53.80% |
| yt.Smiles vs Reina | 79–86 | 47.88% |
| yt.Smiles vs Law | 73–87 | 45.62% |
| yt.Smiles vs Kazuya | 92–66 | 58.23% |
| yt.Smiles vs Jin | 73–76 | 48.99% |
| yt.Smiles vs Paul | 71–53 | 57.26% |
| yt.Smiles vs Azucena | 54–65 | 45.38% |
| yt.Smiles vs Jun | 54–56 | 49.09% |
| yt.Smiles vs Lee | 53–56 | 48.62% |
| yt.Smiles vs Heihachi | 49–56 | 46.67% |
| yt.Smiles vs Lars | 50–48 | 51.02% |
| yt.Smiles vs Lili | 54–43 | 55.67% |
| yt.Smiles vs Yoshimitsu | 44–48 | 47.83% |
| yt.Smiles vs Dragunov | 36–42 | 46.15% |
| yt.Smiles vs Xiaoyu | 34–43 | 44.16% |
| yt.Smiles vs Feng | 40–37 | 51.95% |
| yt.Smiles vs Asuka | 30–44 | 40.54% |
| yt.Smiles vs Alisa | 33–38 | 46.48% |
| yt.Smiles vs Victor | 32–39 | 45.07% |
| yt.Smiles vs Raven | 35–36 | 49.30% |
| yt.Smiles vs Nina | 31–37 | 45.59% |
| yt.Smiles vs Lidia | 30–35 | 46.15% |
| yt.Smiles vs Jack-8 | 25–37 | 40.32% |
| yt.Smiles vs Devil Jin | 25–36 | 40.98% |
| yt.Smiles vs Leo | 31–29 | 51.67% |
| yt.Smiles vs Clive | 20–34 | 37.04% |
| yt.Smiles vs Eddy | 22–29 | 43.14% |
| yt.Smiles vs Claudio | 19–29 | 39.58% |
| yt.Smiles vs Anna | 25–22 | 53.19% |
| yt.Smiles vs Leroy | 19–19 | 50.00% |
| yt.Smiles vs Kuma | 17–18 | 48.57% |
| yt.Smiles vs Armor King | 14–19 | 42.42% |
| yt.Smiles vs Zafina | 11–17 | 39.29% |
| yt.Smiles vs Shaheen | 8–15 | 34.78% |
| yt.Smiles vs Fahkumram | 4–9 | 30.77% |
| yt.Smiles vs Panda | 3–7 | 30.00% |
| yt.Smiles vs Miary Zo | 2–3 | 40.00% |
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.