| LilSneakSnack vs Jin | 60–45 | 57.14% |
| LilSneakSnack vs Kazuya | 52–51 | 50.49% |
| LilSneakSnack vs Reina | 45–48 | 48.39% |
| LilSneakSnack vs King | 38–51 | 42.70% |
| LilSneakSnack vs Eddy | 30–42 | 41.67% |
| LilSneakSnack vs Lili | 33–33–1 | 50.00% |
| LilSneakSnack vs Dragunov | 30–36 | 45.45% |
| LilSneakSnack vs Heihachi | 24–42 | 36.36% |
| LilSneakSnack vs Bryan | 42–23 | 64.62% |
| LilSneakSnack vs Raven | 36–22 | 62.07% |
| LilSneakSnack vs Hwoarang | 24–31 | 43.64% |
| LilSneakSnack vs Law | 24–28 | 46.15% |
| LilSneakSnack vs Yoshimitsu | 22–30 | 42.31% |
| LilSneakSnack vs Steve | 30–20 | 60.00% |
| LilSneakSnack vs Asuka | 22–28 | 44.00% |
| LilSneakSnack vs Lars | 17–33 | 34.00% |
| LilSneakSnack vs Paul | 24–25 | 48.98% |
| LilSneakSnack vs Azucena | 22–24 | 47.83% |
| LilSneakSnack vs Xiaoyu | 21–21 | 50.00% |
| LilSneakSnack vs Feng | 21–20 | 51.22% |
| LilSneakSnack vs Lee | 18–21 | 46.15% |
| LilSneakSnack vs Victor | 13–24 | 35.14% |
| LilSneakSnack vs Claudio | 15–18 | 45.45% |
| LilSneakSnack vs Nina | 10–23 | 30.30% |
| LilSneakSnack vs Jun | 15–14 | 51.72% |
| LilSneakSnack vs Leo | 11–16 | 40.74% |
| LilSneakSnack vs Devil Jin | 9–17 | 34.62% |
| LilSneakSnack vs Alisa | 11–14 | 44.00% |
| LilSneakSnack vs Leroy | 9–13 | 40.91% |
| LilSneakSnack vs Zafina | 11–6 | 64.71% |
| LilSneakSnack vs Jack-8 | 5–11 | 31.25% |
| LilSneakSnack vs Kuma | 6–9 | 40.00% |
| LilSneakSnack vs Shaheen | 4–8 | 33.33% |
| LilSneakSnack vs Panda | 2–7 | 22.22% |
| LilSneakSnack vs Lidia | 3–3 | 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.