| Snarf vs Jin | 17–32 | 34.69% |
| Snarf vs Reina | 26–13 | 66.67% |
| Snarf vs Clive | 15–24 | 38.46% |
| Snarf vs Steve | 21–17 | 55.26% |
| Snarf vs Kazuya | 16–18 | 47.06% |
| Snarf vs Law | 15–14 | 51.72% |
| Snarf vs Lili | 17–12 | 58.62% |
| Snarf vs Heihachi | 13–16 | 44.83% |
| Snarf vs Hwoarang | 9–18 | 33.33% |
| Snarf vs Jun | 18–9 | 66.67% |
| Snarf vs Bryan | 10–15 | 40.00% |
| Snarf vs Dragunov | 6–15 | 28.57% |
| Snarf vs King | 10–8 | 55.56% |
| Snarf vs Yoshimitsu | 4–10 | 28.57% |
| Snarf vs Devil Jin | 3–11 | 21.43% |
| Snarf vs Alisa | 6–8 | 42.86% |
| Snarf vs Asuka | 4–9 | 30.77% |
| Snarf vs Paul | 8–4 | 66.67% |
| Snarf vs Xiaoyu | 5–6 | 45.45% |
| Snarf vs Nina | 4–7 | 36.36% |
| Snarf vs Anna | 7–4 | 63.64% |
| Snarf vs Eddy | 4–6 | 40.00% |
| Snarf vs Lars | 2–7 | 22.22% |
| Snarf vs Raven | 6–3 | 66.67% |
| Snarf vs Shaheen | 3–5 | 37.50% |
| Snarf vs Lee | 1–7 | 12.50% |
| Snarf vs Leo | 6–1 | 85.71% |
| Snarf vs Azucena | 2–5 | 28.57% |
| Snarf vs Lidia | 4–3 | 57.14% |
| Snarf vs Jack-8 | 2–4 | 33.33% |
| Snarf vs Feng | 2–4 | 33.33% |
| Snarf vs Leroy | 5–1 | 83.33% |
| Snarf vs Victor | 2–3 | 40.00% |
| Snarf vs Kuma | 3–1 | 75.00% |
| Snarf vs Fahkumram | 3–0 | 100.00% |
| Snarf vs Claudio | 1–1 | 50.00% |
| Snarf vs Panda | 2–0 | 100.00% |
| Snarf vs Armor King | 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.