| Snoogans vs Lidia | 292–62 | 82.49% |
| Snoogans vs Jin | 132–40 | 76.74% |
| Snoogans vs Kazuya | 116–37 | 75.82% |
| Snoogans vs King | 115–17 | 87.12% |
| Snoogans vs Reina | 97–29 | 76.98% |
| Snoogans vs Hwoarang | 92–28 | 76.67% |
| Snoogans vs Steve | 97–23 | 80.83% |
| Snoogans vs Bryan | 71–46 | 60.68% |
| Snoogans vs Law | 71–21 | 77.17% |
| Snoogans vs Lee | 68–20 | 77.27% |
| Snoogans vs Jun | 47–31 | 60.26% |
| Snoogans vs Lars | 59–16 | 78.67% |
| Snoogans vs Yoshimitsu | 53–20 | 72.60% |
| Snoogans vs Asuka | 50–23 | 68.49% |
| Snoogans vs Azucena | 51–22 | 69.86% |
| Snoogans vs Lili | 54–18 | 75.00% |
| Snoogans vs Victor | 49–23 | 68.06% |
| Snoogans vs Nina | 41–24 | 63.08% |
| Snoogans vs Eddy | 48–17 | 73.85% |
| Snoogans vs Dragunov | 55–8 | 87.30% |
| Snoogans vs Xiaoyu | 43–14 | 75.44% |
| Snoogans vs Paul | 35–19 | 64.81% |
| Snoogans vs Feng | 35–18 | 66.04% |
| Snoogans vs Alisa | 29–18 | 61.70% |
| Snoogans vs Devil Jin | 26–17 | 60.47% |
| Snoogans vs Zafina | 25–12 | 67.57% |
| Snoogans vs Jack-8 | 25–10 | 71.43% |
| Snoogans vs Shaheen | 29–5 | 85.29% |
| Snoogans vs Leo | 20–12 | 62.50% |
| Snoogans vs Raven | 22–10 | 68.75% |
| Snoogans vs Claudio | 21–10 | 67.74% |
| Snoogans vs Kuma | 17–7 | 70.83% |
| Snoogans vs Leroy | 18–5 | 78.26% |
| Snoogans vs Panda | 6–4 | 60.00% |
| Snoogans vs Heihachi | 3–1 | 75.00% |
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.