| BigSnozz vs King | 20–46 | 30.30% |
| BigSnozz vs Jin | 18–28 | 39.13% |
| BigSnozz vs Hwoarang | 22–21 | 51.16% |
| BigSnozz vs Steve | 23–14 | 62.16% |
| BigSnozz vs Reina | 11–25 | 30.56% |
| BigSnozz vs Eddy | 11–24 | 31.43% |
| BigSnozz vs Law | 13–21 | 38.24% |
| BigSnozz vs Kazuya | 14–20 | 41.18% |
| BigSnozz vs Bryan | 11–21 | 34.38% |
| BigSnozz vs Heihachi | 11–21 | 34.38% |
| BigSnozz vs Armor King | 15–17 | 46.88% |
| BigSnozz vs Jun | 17–14 | 54.84% |
| BigSnozz vs Fahkumram | 14–17 | 45.16% |
| BigSnozz vs Dragunov | 13–14 | 48.15% |
| BigSnozz vs Asuka | 5–17 | 22.73% |
| BigSnozz vs Azucena | 8–14 | 36.36% |
| BigSnozz vs Jack-8 | 7–14 | 33.33% |
| BigSnozz vs Feng | 11–10 | 52.38% |
| BigSnozz vs Victor | 10–11 | 47.62% |
| BigSnozz vs Lars | 9–10 | 47.37% |
| BigSnozz vs Lidia | 8–11 | 42.11% |
| BigSnozz vs Xiaoyu | 12–6 | 66.67% |
| BigSnozz vs Clive | 9–9 | 50.00% |
| BigSnozz vs Nina | 10–7 | 58.82% |
| BigSnozz vs Lee | 4–13 | 23.53% |
| BigSnozz vs Paul | 7–9 | 43.75% |
| BigSnozz vs Leroy | 7–9 | 43.75% |
| BigSnozz vs Alisa | 9–6 | 60.00% |
| BigSnozz vs Yoshimitsu | 7–6 | 53.85% |
| BigSnozz vs Devil Jin | 9–3 | 75.00% |
| BigSnozz vs Lili | 4–8 | 33.33% |
| BigSnozz vs Anna | 7–3 | 70.00% |
| BigSnozz vs Raven | 4–4 | 50.00% |
| BigSnozz vs Leo | 4–1 | 80.00% |
| BigSnozz vs Kuma | 4–1 | 80.00% |
| BigSnozz vs Zafina | 2–3 | 40.00% |
| BigSnozz vs Shaheen | 0–3 | 0.00% |
| BigSnozz vs Panda | 1–2 | 33.33% |
| BigSnozz vs Miary Zo | 1–2 | 33.33% |
| BigSnozz vs Claudio | 1–1 | 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.