| saml vs Miary Zo | 34–18 | 65.38% |
| saml vs Jin | 36–13 | 73.47% |
| saml vs Kazuya | 19–23 | 45.24% |
| saml vs Hwoarang | 15–21 | 41.67% |
| saml vs Reina | 18–18 | 50.00% |
| saml vs Bryan | 17–11 | 60.71% |
| saml vs King | 14–13 | 51.85% |
| saml vs Victor | 19–6 | 76.00% |
| saml vs Asuka | 4–19 | 17.39% |
| saml vs Paul | 11–10 | 52.38% |
| saml vs Armor King | 4–17 | 19.05% |
| saml vs Law | 10–9 | 52.63% |
| saml vs Dragunov | 4–14 | 22.22% |
| saml vs Steve | 10–7 | 58.82% |
| saml vs Lili | 4–13 | 23.53% |
| saml vs Lidia | 10–6 | 62.50% |
| saml vs Yoshimitsu | 5–9 | 35.71% |
| saml vs Eddy | 7–7 | 50.00% |
| saml vs Claudio | 4–6 | 40.00% |
| saml vs Devil Jin | 4–5 | 44.44% |
| saml vs Kuma | 1–8 | 11.11% |
| saml vs Jun | 6–3 | 66.67% |
| saml vs Azucena | 4–4 | 50.00% |
| saml vs Nina | 5–2 | 71.43% |
| saml vs Lee | 2–5 | 28.57% |
| saml vs Heihachi | 2–5 | 28.57% |
| saml vs Clive | 2–5 | 28.57% |
| saml vs Fahkumram | 3–4 | 42.86% |
| saml vs Leo | 1–5 | 16.67% |
| saml vs Leroy | 5–1 | 83.33% |
| saml vs Lars | 1–4 | 20.00% |
| saml vs Alisa | 3–2 | 60.00% |
| saml vs Shaheen | 4–1 | 80.00% |
| saml vs Xiaoyu | 2–2 | 50.00% |
| saml vs Panda | 2–1 | 66.67% |
| saml vs Zafina | 1–2 | 33.33% |
| saml vs Anna | 2–1 | 66.67% |
| saml vs Jack-8 | 2–0 | 100.00% |
| saml vs Feng | 1–0 | 100.00% |
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.