| Sasapang vs Reina | 52–41 | 55.91% |
| Sasapang vs Kazuya | 27–47 | 36.49% |
| Sasapang vs Paul | 39–33 | 54.17% |
| Sasapang vs King | 24–39 | 38.10% |
| Sasapang vs Dragunov | 24–37 | 39.34% |
| Sasapang vs Hwoarang | 31–27 | 53.45% |
| Sasapang vs Asuka | 31–25 | 55.36% |
| Sasapang vs Lili | 26–30 | 46.43% |
| Sasapang vs Jun | 27–23 | 54.00% |
| Sasapang vs Heihachi | 26–21 | 55.32% |
| Sasapang vs Bryan | 22–24 | 47.83% |
| Sasapang vs Azucena | 21–21 | 50.00% |
| Sasapang vs Nina | 21–19 | 52.50% |
| Sasapang vs Steve | 13–26 | 33.33% |
| Sasapang vs Xiaoyu | 20–17 | 54.05% |
| Sasapang vs Jin | 18–19 | 48.65% |
| Sasapang vs Leroy | 18–19 | 48.65% |
| Sasapang vs Lidia | 13–19 | 40.62% |
| Sasapang vs Jack-8 | 10–20 | 33.33% |
| Sasapang vs Victor | 11–19 | 36.67% |
| Sasapang vs Leo | 16–12 | 57.14% |
| Sasapang vs Armor King | 14–14 | 50.00% |
| Sasapang vs Law | 10–15 | 40.00% |
| Sasapang vs Yoshimitsu | 11–12 | 47.83% |
| Sasapang vs Devil Jin | 11–11 | 50.00% |
| Sasapang vs Alisa | 8–14 | 36.36% |
| Sasapang vs Fahkumram | 6–15 | 28.57% |
| Sasapang vs Lee | 9–11 | 45.00% |
| Sasapang vs Feng | 7–11 | 38.89% |
| Sasapang vs Lars | 10–7 | 58.82% |
| Sasapang vs Clive | 9–8 | 52.94% |
| Sasapang vs Claudio | 11–5 | 68.75% |
| Sasapang vs Shaheen | 6–10 | 37.50% |
| Sasapang vs Eddy | 9–4 | 69.23% |
| Sasapang vs Kuma | 2–8 | 20.00% |
| Sasapang vs Anna | 4–6 | 40.00% |
| Sasapang vs Miary Zo | 4–6 | 40.00% |
| Sasapang vs Panda | 6–2 | 75.00% |
| Sasapang vs Raven | 3–3 | 50.00% |
| Sasapang vs Zafina | 2–2 | 50.00% |
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.