| SAM36 vs Bryan | 56–69 | 44.80% |
| SAM36 vs King | 56–62 | 47.46% |
| SAM36 vs Kazuya | 62–44 | 58.49% |
| SAM36 vs Reina | 60–36 | 62.50% |
| SAM36 vs Law | 51–35 | 59.30% |
| SAM36 vs Dragunov | 40–46 | 46.51% |
| SAM36 vs Lili | 50–34 | 59.52% |
| SAM36 vs Paul | 45–31 | 59.21% |
| SAM36 vs Asuka | 41–31 | 56.94% |
| SAM36 vs Hwoarang | 24–36 | 40.00% |
| SAM36 vs Victor | 26–34 | 43.33% |
| SAM36 vs Jin | 35–23 | 60.34% |
| SAM36 vs Alisa | 19–30 | 38.78% |
| SAM36 vs Yoshimitsu | 25–23 | 52.08% |
| SAM36 vs Xiaoyu | 31–17 | 64.58% |
| SAM36 vs Feng | 28–20 | 58.33% |
| SAM36 vs Leo | 26–21 | 55.32% |
| SAM36 vs Leroy | 24–23 | 51.06% |
| SAM36 vs Jun | 26–20 | 56.52% |
| SAM36 vs Claudio | 21–22 | 48.84% |
| SAM36 vs Eddy | 22–21 | 51.16% |
| SAM36 vs Jack-8 | 25–17 | 59.52% |
| SAM36 vs Azucena | 27–15 | 64.29% |
| SAM36 vs Lee | 25–16 | 60.98% |
| SAM36 vs Lars | 25–12 | 67.57% |
| SAM36 vs Steve | 14–21 | 40.00% |
| SAM36 vs Kuma | 17–18 | 48.57% |
| SAM36 vs Nina | 16–16 | 50.00% |
| SAM36 vs Zafina | 14–18 | 43.75% |
| SAM36 vs Devil Jin | 11–17 | 39.29% |
| SAM36 vs Clive | 10–14 | 41.67% |
| SAM36 vs Raven | 8–14 | 36.36% |
| SAM36 vs Lidia | 11–9 | 55.00% |
| SAM36 vs Shaheen | 10–7 | 58.82% |
| SAM36 vs Heihachi | 5–4 | 55.56% |
| SAM36 vs Panda | 2–5 | 28.57% |
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.