| Sapoarmado vs King | 44–54 | 44.90% |
| Sapoarmado vs Miary Zo | 19–44 | 30.16% |
| Sapoarmado vs Jin | 13–43 | 23.21% |
| Sapoarmado vs Reina | 19–37 | 33.93% |
| Sapoarmado vs Armor King | 19–36 | 34.55% |
| Sapoarmado vs Steve | 18–36 | 33.33% |
| Sapoarmado vs Law | 13–39 | 25.00% |
| Sapoarmado vs Kazuya | 15–34 | 30.61% |
| Sapoarmado vs Azucena | 18–28 | 39.13% |
| Sapoarmado vs Lili | 20–22 | 47.62% |
| Sapoarmado vs Lidia | 17–25 | 40.48% |
| Sapoarmado vs Hwoarang | 13–27 | 32.50% |
| Sapoarmado vs Yoshimitsu | 11–23 | 32.35% |
| Sapoarmado vs Asuka | 8–25 | 24.24% |
| Sapoarmado vs Dragunov | 10–22 | 31.25% |
| Sapoarmado vs Lars | 9–22 | 29.03% |
| Sapoarmado vs Nina | 12–18 | 40.00% |
| Sapoarmado vs Heihachi | 10–20 | 33.33% |
| Sapoarmado vs Jun | 10–19 | 34.48% |
| Sapoarmado vs Eddy | 7–21 | 25.00% |
| Sapoarmado vs Xiaoyu | 6–20 | 23.08% |
| Sapoarmado vs Feng | 8–17 | 32.00% |
| Sapoarmado vs Lee | 10–15 | 40.00% |
| Sapoarmado vs Paul | 6–16 | 27.27% |
| Sapoarmado vs Leroy | 9–12 | 42.86% |
| Sapoarmado vs Anna | 7–14 | 33.33% |
| Sapoarmado vs Bryan | 10–9 | 52.63% |
| Sapoarmado vs Victor | 5–14 | 26.32% |
| Sapoarmado vs Raven | 6–13 | 31.58% |
| Sapoarmado vs Clive | 7–11 | 38.89% |
| Sapoarmado vs Fahkumram | 4–12 | 25.00% |
| Sapoarmado vs Jack-8 | 4–11 | 26.67% |
| Sapoarmado vs Alisa | 5–10 | 33.33% |
| Sapoarmado vs Leo | 0–12 | 0.00% |
| Sapoarmado vs Devil Jin | 3–8 | 27.27% |
| Sapoarmado vs Shaheen | 6–5 | 54.55% |
| Sapoarmado vs Claudio | 3–6 | 33.33% |
| Sapoarmado vs Kuma | 0–7 | 0.00% |
| Sapoarmado vs Zafina | 2–3 | 40.00% |
| Sapoarmado vs Panda | 1–2 | 33.33% |
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.