| Sacapac vs Jin | 26–22 | 54.17% |
| Sacapac vs Kazuya | 26–19 | 57.78% |
| Sacapac vs Steve | 24–17 | 58.54% |
| Sacapac vs Law | 19–20 | 48.72% |
| Sacapac vs King | 15–20 | 42.86% |
| Sacapac vs Miary Zo | 12–18 | 40.00% |
| Sacapac vs Heihachi | 13–11 | 54.17% |
| Sacapac vs Azucena | 12–11 | 52.17% |
| Sacapac vs Dragunov | 8–12 | 40.00% |
| Sacapac vs Armor King | 8–12 | 40.00% |
| Sacapac vs Devil Jin | 9–9 | 50.00% |
| Sacapac vs Asuka | 9–7 | 56.25% |
| Sacapac vs Lili | 8–8 | 50.00% |
| Sacapac vs Eddy | 10–6 | 62.50% |
| Sacapac vs Bryan | 4–11 | 26.67% |
| Sacapac vs Paul | 2–11 | 15.38% |
| Sacapac vs Fahkumram | 7–6 | 53.85% |
| Sacapac vs Jun | 5–7 | 41.67% |
| Sacapac vs Lars | 6–5 | 54.55% |
| Sacapac vs Alisa | 6–5 | 54.55% |
| Sacapac vs Reina | 5–6 | 45.45% |
| Sacapac vs Yoshimitsu | 4–5 | 44.44% |
| Sacapac vs Lidia | 4–4 | 50.00% |
| Sacapac vs Feng | 2–5 | 28.57% |
| Sacapac vs Victor | 2–5 | 28.57% |
| Sacapac vs Hwoarang | 3–3 | 50.00% |
| Sacapac vs Xiaoyu | 4–2 | 66.67% |
| Sacapac vs Raven | 4–2 | 66.67% |
| Sacapac vs Clive | 1–5 | 16.67% |
| Sacapac vs Anna | 4–2 | 66.67% |
| Sacapac vs Jack-8 | 1–4 | 20.00% |
| Sacapac vs Lee | 4–1 | 80.00% |
| Sacapac vs Leo | 1–2 | 33.33% |
| Sacapac vs Nina | 2–1 | 66.67% |
| Sacapac vs Zafina | 2–1 | 66.67% |
| Sacapac vs Leroy | 2–1 | 66.67% |
| Sacapac vs Panda | 1–1 | 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.