| S4nford vs King | 107–110 | 49.31% |
| S4nford vs Jin | 101–101 | 50.00% |
| S4nford vs Kazuya | 100–102 | 49.50% |
| S4nford vs Bryan | 69–68 | 50.36% |
| S4nford vs Steve | 59–70 | 45.74% |
| S4nford vs Hwoarang | 74–44 | 62.71% |
| S4nford vs Reina | 68–49 | 58.12% |
| S4nford vs Xiaoyu | 53–61 | 46.49% |
| S4nford vs Paul | 57–49 | 53.77% |
| S4nford vs Anna | 47–58 | 44.76% |
| S4nford vs Devil Jin | 45–55 | 45.00% |
| S4nford vs Nina | 46–54 | 46.00% |
| S4nford vs Dragunov | 41–54 | 43.16% |
| S4nford vs Law | 48–45 | 51.61% |
| S4nford vs Heihachi | 51–40 | 56.04% |
| S4nford vs Armor King | 40–46 | 46.51% |
| S4nford vs Azucena | 47–37 | 55.95% |
| S4nford vs Yoshimitsu | 31–46 | 40.26% |
| S4nford vs Asuka | 37–38 | 49.33% |
| S4nford vs Lars | 30–38 | 44.12% |
| S4nford vs Lili | 34–31 | 52.31% |
| S4nford vs Fahkumram | 36–29 | 55.38% |
| S4nford vs Jun | 29–34 | 46.03% |
| S4nford vs Eddy | 29–34 | 46.03% |
| S4nford vs Clive | 34–29 | 53.97% |
| S4nford vs Leroy | 30–26 | 53.57% |
| S4nford vs Lee | 28–27 | 50.91% |
| S4nford vs Jack-8 | 22–26 | 45.83% |
| S4nford vs Zafina | 14–31 | 31.11% |
| S4nford vs Alisa | 15–29 | 34.09% |
| S4nford vs Lidia | 24–20 | 54.55% |
| S4nford vs Feng | 20–22 | 47.62% |
| S4nford vs Raven | 20–22 | 47.62% |
| S4nford vs Leo | 14–25 | 35.90% |
| S4nford vs Kuma | 15–24 | 38.46% |
| S4nford vs Claudio | 17–19 | 47.22% |
| S4nford vs Shaheen | 8–23 | 25.81% |
| S4nford vs Victor | 13–17 | 43.33% |
| S4nford vs Panda | 12–14 | 46.15% |
| S4nford vs Miary Zo | 10–15 | 40.00% |
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.