| scafusca vs Jin | 66–64 | 50.77% |
| scafusca vs Kazuya | 68–59 | 53.54% |
| scafusca vs King | 50–57 | 46.73% |
| scafusca vs Dragunov | 40–47 | 45.98% |
| scafusca vs Eddy | 43–41 | 51.19% |
| scafusca vs Reina | 49–33 | 59.76% |
| scafusca vs Asuka | 35–39 | 47.30% |
| scafusca vs Law | 36–37 | 49.32% |
| scafusca vs Bryan | 31–41 | 43.06% |
| scafusca vs Steve | 34–36 | 48.57% |
| scafusca vs Lili | 37–33 | 52.86% |
| scafusca vs Xiaoyu | 23–34 | 40.35% |
| scafusca vs Paul | 23–33 | 41.07% |
| scafusca vs Leroy | 30–25 | 54.55% |
| scafusca vs Hwoarang | 21–30 | 41.18% |
| scafusca vs Lee | 23–26 | 46.94% |
| scafusca vs Nina | 19–28 | 40.43% |
| scafusca vs Azucena | 17–29 | 36.96% |
| scafusca vs Devil Jin | 22–23 | 48.89% |
| scafusca vs Victor | 17–27 | 38.64% |
| scafusca vs Feng | 14–29 | 32.56% |
| scafusca vs Alisa | 24–16 | 60.00% |
| scafusca vs Claudio | 18–19 | 48.65% |
| scafusca vs Jack-8 | 20–13 | 60.61% |
| scafusca vs Heihachi | 17–16 | 51.52% |
| scafusca vs Leo | 15–15 | 50.00% |
| scafusca vs Jun | 15–14 | 51.72% |
| scafusca vs Yoshimitsu | 14–14 | 50.00% |
| scafusca vs Zafina | 14–12 | 53.85% |
| scafusca vs Lidia | 9–11 | 45.00% |
| scafusca vs Lars | 9–9 | 50.00% |
| scafusca vs Raven | 9–8 | 52.94% |
| scafusca vs Fahkumram | 7–9 | 43.75% |
| scafusca vs Anna | 7–5 | 58.33% |
| scafusca vs Kuma | 6–5 | 54.55% |
| scafusca vs Shaheen | 5–5 | 50.00% |
| scafusca vs Armor King | 5–3 | 62.50% |
| scafusca vs Clive | 3–3 | 50.00% |
| scafusca vs Miary Zo | 3–3 | 50.00% |
| scafusca vs Panda | 2–1 | 66.67% |
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.