| @snark vs King | 86–105 | 45.03% |
| @snark vs Jin | 67–68 | 49.63% |
| @snark vs Law | 58–72 | 44.62% |
| @snark vs Kazuya | 44–75 | 36.97% |
| @snark vs Bryan | 46–69 | 40.00% |
| @snark vs Hwoarang | 40–72 | 35.71% |
| @snark vs Reina | 52–52 | 50.00% |
| @snark vs Armor King | 44–55 | 44.44% |
| @snark vs Heihachi | 38–54 | 41.30% |
| @snark vs Miary Zo | 33–57 | 36.67% |
| @snark vs Lili | 29–49 | 37.18% |
| @snark vs Paul | 37–39 | 48.68% |
| @snark vs Clive | 30–45 | 40.00% |
| @snark vs Lidia | 36–37 | 49.32% |
| @snark vs Victor | 38–31 | 55.07% |
| @snark vs Lee | 22–46 | 32.35% |
| @snark vs Azucena | 30–38 | 44.12% |
| @snark vs Lars | 35–32 | 52.24% |
| @snark vs Xiaoyu | 29–36 | 44.62% |
| @snark vs Steve | 27–36 | 42.86% |
| @snark vs Yoshimitsu | 23–35 | 39.66% |
| @snark vs Dragunov | 26–29 | 47.27% |
| @snark vs Asuka | 23–31 | 42.59% |
| @snark vs Raven | 20–34 | 37.04% |
| @snark vs Eddy | 23–31 | 42.59% |
| @snark vs Jun | 27–26 | 50.94% |
| @snark vs Feng | 28–22 | 56.00% |
| @snark vs Devil Jin | 12–33 | 26.67% |
| @snark vs Leroy | 19–18 | 51.35% |
| @snark vs Nina | 13–21 | 38.24% |
| @snark vs Fahkumram | 16–15 | 51.61% |
| @snark vs Jack-8 | 13–15 | 46.43% |
| @snark vs Leo | 13–14 | 48.15% |
| @snark vs Alisa | 13–12 | 52.00% |
| @snark vs Kuma | 10–15 | 40.00% |
| @snark vs Claudio | 14–9 | 60.87% |
| @snark vs Anna | 9–14 | 39.13% |
| @snark vs Shaheen | 8–10 | 44.44% |
| @snark vs Zafina | 8–3 | 72.73% |
| @snark vs Panda | 2–2 | 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.