| SCARR vs Kazuya | 120–171 | 41.24% |
| SCARR vs King | 118–150 | 44.03% |
| SCARR vs Jin | 90–107 | 45.69% |
| SCARR vs Bryan | 101–96 | 51.27% |
| SCARR vs Reina | 100–97 | 50.76% |
| SCARR vs Hwoarang | 87–80 | 52.10% |
| SCARR vs Law | 85–79 | 51.83% |
| SCARR vs Steve | 83–81 | 50.61% |
| SCARR vs Lee | 62–86 | 41.89% |
| SCARR vs Yoshimitsu | 45–75 | 37.50% |
| SCARR vs Lili | 61–57 | 51.69% |
| SCARR vs Lars | 53–63 | 45.69% |
| SCARR vs Paul | 36–79 | 31.30% |
| SCARR vs Xiaoyu | 46–65 | 41.44% |
| SCARR vs Asuka | 51–59 | 46.36% |
| SCARR vs Eddy | 66–43 | 60.55% |
| SCARR vs Dragunov | 47–50 | 48.45% |
| SCARR vs Heihachi | 37–60 | 38.14% |
| SCARR vs Devil Jin | 34–60 | 36.17% |
| SCARR vs Alisa | 35–56 | 38.46% |
| SCARR vs Armor King | 35–56 | 38.46% |
| SCARR vs Nina | 43–47 | 47.78% |
| SCARR vs Victor | 37–42 | 46.84% |
| SCARR vs Azucena | 30–46 | 39.47% |
| SCARR vs Raven | 40–32 | 55.56% |
| SCARR vs Lidia | 28–44 | 38.89% |
| SCARR vs Leroy | 37–26 | 58.73% |
| SCARR vs Fahkumram | 24–37 | 39.34% |
| SCARR vs Claudio | 30–30 | 50.00% |
| SCARR vs Feng | 18–40 | 31.03% |
| SCARR vs Jun | 22–36 | 37.93% |
| SCARR vs Leo | 16–33 | 32.65% |
| SCARR vs Clive | 21–28 | 42.86% |
| SCARR vs Kuma | 23–23 | 50.00% |
| SCARR vs Zafina | 17–26 | 39.53% |
| SCARR vs Jack-8 | 15–18 | 45.45% |
| SCARR vs Miary Zo | 18–15 | 54.55% |
| SCARR vs Anna | 14–14 | 50.00% |
| SCARR vs Shaheen | 10–15 | 40.00% |
| SCARR vs Panda | 2–6 | 25.00% |
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.