| SLC_LEE vs Hwoarang | 100–89 | 52.91% |
| SLC_LEE vs Jin | 101–87 | 53.72% |
| SLC_LEE vs Lars | 91–93 | 49.46% |
| SLC_LEE vs Law | 88–80 | 52.38% |
| SLC_LEE vs King | 78–88 | 46.99% |
| SLC_LEE vs Lili | 64–100 | 39.02% |
| SLC_LEE vs Kazuya | 95–62 | 60.51% |
| SLC_LEE vs Steve | 48–96 | 33.33% |
| SLC_LEE vs Bryan | 64–79 | 44.76% |
| SLC_LEE vs Raven | 67–72 | 48.20% |
| SLC_LEE vs Yoshimitsu | 78–60 | 56.52% |
| SLC_LEE vs Jun | 61–76 | 44.53% |
| SLC_LEE vs Reina | 58–59 | 49.57% |
| SLC_LEE vs Eddy | 60–56 | 51.72% |
| SLC_LEE vs Asuka | 63–48 | 56.76% |
| SLC_LEE vs Xiaoyu | 65–42 | 60.75% |
| SLC_LEE vs Azucena | 44–61 | 41.90% |
| SLC_LEE vs Dragunov | 51–53 | 49.04% |
| SLC_LEE vs Leroy | 67–35 | 65.69% |
| SLC_LEE vs Nina | 67–32 | 67.68% |
| SLC_LEE vs Lee | 38–56 | 40.43% |
| SLC_LEE vs Alisa | 48–41 | 53.93% |
| SLC_LEE vs Paul | 42–41 | 50.60% |
| SLC_LEE vs Devil Jin | 40–42 | 48.78% |
| SLC_LEE vs Victor | 42–40 | 51.22% |
| SLC_LEE vs Lidia | 35–46 | 43.21% |
| SLC_LEE vs Zafina | 43–33 | 56.58% |
| SLC_LEE vs Jack-8 | 49–26 | 65.33% |
| SLC_LEE vs Heihachi | 35–38 | 47.95% |
| SLC_LEE vs Anna | 40–32 | 55.56% |
| SLC_LEE vs Fahkumram | 35–35 | 50.00% |
| SLC_LEE vs Feng | 28–35 | 44.44% |
| SLC_LEE vs Leo | 25–38 | 39.68% |
| SLC_LEE vs Claudio | 29–27 | 51.79% |
| SLC_LEE vs Shaheen | 29–24 | 54.72% |
| SLC_LEE vs Clive | 26–23 | 53.06% |
| SLC_LEE vs Armor King | 12–29 | 29.27% |
| SLC_LEE vs Kuma | 20–14 | 58.82% |
| SLC_LEE vs Panda | 9–8 | 52.94% |
| SLC_LEE vs Miary Zo | 0–2 | 0.00% |
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.