| SANTIAL0L vs King | 58–49 | 54.21% |
| SANTIAL0L vs Jin | 49–39 | 55.68% |
| SANTIAL0L vs Kazuya | 39–44 | 46.99% |
| SANTIAL0L vs Law | 43–35 | 55.13% |
| SANTIAL0L vs Hwoarang | 30–47 | 38.96% |
| SANTIAL0L vs Steve | 39–35 | 52.70% |
| SANTIAL0L vs Reina | 37–32 | 53.62% |
| SANTIAL0L vs Heihachi | 25–26 | 49.02% |
| SANTIAL0L vs Yoshimitsu | 23–27 | 46.00% |
| SANTIAL0L vs Bryan | 32–18 | 64.00% |
| SANTIAL0L vs Dragunov | 25–25 | 50.00% |
| SANTIAL0L vs Xiaoyu | 25–20 | 55.56% |
| SANTIAL0L vs Lars | 20–21 | 48.78% |
| SANTIAL0L vs Jun | 18–23 | 43.90% |
| SANTIAL0L vs Clive | 16–25 | 39.02% |
| SANTIAL0L vs Asuka | 25–15 | 62.50% |
| SANTIAL0L vs Eddy | 24–16 | 60.00% |
| SANTIAL0L vs Armor King | 25–15 | 62.50% |
| SANTIAL0L vs Paul | 20–16 | 55.56% |
| SANTIAL0L vs Victor | 18–17 | 51.43% |
| SANTIAL0L vs Lili | 12–21 | 36.36% |
| SANTIAL0L vs Lee | 16–16 | 50.00% |
| SANTIAL0L vs Azucena | 15–17 | 46.88% |
| SANTIAL0L vs Leroy | 18–13 | 58.06% |
| SANTIAL0L vs Devil Jin | 14–13 | 51.85% |
| SANTIAL0L vs Leo | 13–14 | 48.15% |
| SANTIAL0L vs Jack-8 | 10–12 | 45.45% |
| SANTIAL0L vs Alisa | 12–10 | 54.55% |
| SANTIAL0L vs Nina | 6–13 | 31.58% |
| SANTIAL0L vs Zafina | 6–13 | 31.58% |
| SANTIAL0L vs Feng | 9–9 | 50.00% |
| SANTIAL0L vs Raven | 9–8 | 52.94% |
| SANTIAL0L vs Fahkumram | 8–9 | 47.06% |
| SANTIAL0L vs Lidia | 7–9 | 43.75% |
| SANTIAL0L vs Kuma | 10–5 | 66.67% |
| SANTIAL0L vs Claudio | 10–4 | 71.43% |
| SANTIAL0L vs Shaheen | 3–4 | 42.86% |
| SANTIAL0L vs Panda | 1–4 | 20.00% |
| SANTIAL0L vs Anna | 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.