| NUFC SAM vs Jin | 29–37 | 43.94% |
| NUFC SAM vs Law | 23–17 | 57.50% |
| NUFC SAM vs King | 12–24 | 33.33% |
| NUFC SAM vs Kazuya | 10–25 | 28.57% |
| NUFC SAM vs Reina | 16–15 | 51.61% |
| NUFC SAM vs Nina | 7–22 | 24.14% |
| NUFC SAM vs Hwoarang | 16–11 | 59.26% |
| NUFC SAM vs Jun | 10–16 | 38.46% |
| NUFC SAM vs Lili | 9–16 | 36.00% |
| NUFC SAM vs Yoshimitsu | 10–14 | 41.67% |
| NUFC SAM vs Steve | 10–14 | 41.67% |
| NUFC SAM vs Asuka | 5–17 | 22.73% |
| NUFC SAM vs Azucena | 10–12 | 45.45% |
| NUFC SAM vs Lidia | 14–6 | 70.00% |
| NUFC SAM vs Bryan | 6–13 | 31.58% |
| NUFC SAM vs Eddy | 3–16 | 15.79% |
| NUFC SAM vs Dragunov | 7–11 | 38.89% |
| NUFC SAM vs Paul | 8–9 | 47.06% |
| NUFC SAM vs Heihachi | 5–9 | 35.71% |
| NUFC SAM vs Claudio | 7–6 | 53.85% |
| NUFC SAM vs Victor | 4–9 | 30.77% |
| NUFC SAM vs Feng | 4–8 | 33.33% |
| NUFC SAM vs Kuma | 2–10 | 16.67% |
| NUFC SAM vs Jack-8 | 5–6 | 45.45% |
| NUFC SAM vs Alisa | 5–6 | 45.45% |
| NUFC SAM vs Xiaoyu | 6–4 | 60.00% |
| NUFC SAM vs Leo | 4–5 | 44.44% |
| NUFC SAM vs Lee | 4–4 | 50.00% |
| NUFC SAM vs Zafina | 4–4 | 50.00% |
| NUFC SAM vs Leroy | 6–1 | 85.71% |
| NUFC SAM vs Raven | 2–4 | 33.33% |
| NUFC SAM vs Clive | 1–5 | 16.67% |
| NUFC SAM vs Devil Jin | 4–0 | 100.00% |
| NUFC SAM vs Lars | 2–2 | 50.00% |
| NUFC SAM vs Panda | 1–3 | 25.00% |
| NUFC SAM vs Shaheen | 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.