| Sanlo vs Jin | 30–22 | 57.69% |
| Sanlo vs Bryan | 12–22 | 35.29% |
| Sanlo vs Heihachi | 22–10 | 68.75% |
| Sanlo vs King | 17–14 | 54.84% |
| Sanlo vs Kazuya | 18–13 | 58.06% |
| Sanlo vs Law | 18–9 | 66.67% |
| Sanlo vs Reina | 13–14 | 48.15% |
| Sanlo vs Armor King | 13–14 | 48.15% |
| Sanlo vs Steve | 13–13 | 50.00% |
| Sanlo vs Lili | 9–16 | 36.00% |
| Sanlo vs Yoshimitsu | 10–13 | 43.48% |
| Sanlo vs Nina | 8–13 | 38.10% |
| Sanlo vs Hwoarang | 14–6 | 70.00% |
| Sanlo vs Paul | 6–10 | 37.50% |
| Sanlo vs Dragunov | 10–6 | 62.50% |
| Sanlo vs Lee | 5–8 | 38.46% |
| Sanlo vs Jun | 3–10 | 23.08% |
| Sanlo vs Devil Jin | 7–5 | 58.33% |
| Sanlo vs Azucena | 11–0 | 100.00% |
| Sanlo vs Anna | 10–1 | 90.91% |
| Sanlo vs Xiaoyu | 7–3 | 70.00% |
| Sanlo vs Lars | 4–6 | 40.00% |
| Sanlo vs Lidia | 7–3 | 70.00% |
| Sanlo vs Victor | 5–4 | 55.56% |
| Sanlo vs Miary Zo | 2–7 | 22.22% |
| Sanlo vs Asuka | 4–4 | 50.00% |
| Sanlo vs Feng | 1–7 | 12.50% |
| Sanlo vs Eddy | 3–5 | 37.50% |
| Sanlo vs Raven | 3–4 | 42.86% |
| Sanlo vs Clive | 3–3 | 50.00% |
| Sanlo vs Fahkumram | 3–3 | 50.00% |
| Sanlo vs Leo | 2–3 | 40.00% |
| Sanlo vs Claudio | 2–3 | 40.00% |
| Sanlo vs Kuma | 2–3 | 40.00% |
| Sanlo vs Alisa | 2–1 | 66.67% |
| Sanlo vs Shaheen | 0–2 | 0.00% |
| Sanlo vs Jack-8 | 1–0 | 100.00% |
| Sanlo vs Leroy | 0–1 | 0.00% |
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.