| sam-572 vs Bryan | 255–151 | 62.81% |
| sam-572 vs Kazuya | 249–126 | 66.40% |
| sam-572 vs Paul | 209–115 | 64.51% |
| sam-572 vs Dragunov | 208–104 | 66.67% |
| sam-572 vs Heihachi | 132–118 | 52.80% |
| sam-572 vs Jin | 126–90 | 58.33% |
| sam-572 vs Hwoarang | 140–75 | 65.12% |
| sam-572 vs Devil Jin | 121–75 | 61.73% |
| sam-572 vs Steve | 129–65 | 66.49% |
| sam-572 vs Asuka | 132–60 | 68.75% |
| sam-572 vs King | 116–70 | 62.37% |
| sam-572 vs Reina | 111–75 | 59.68% |
| sam-572 vs Jack-8 | 93–62 | 60.00% |
| sam-572 vs Clive | 91–57 | 61.49% |
| sam-572 vs Victor | 91–52 | 63.64% |
| sam-572 vs Law | 95–45 | 67.86% |
| sam-572 vs Claudio | 82–56 | 59.42% |
| sam-572 vs Feng | 83–54 | 60.58% |
| sam-572 vs Lili | 90–43 | 67.67% |
| sam-572 vs Lars | 74–46–1 | 61.67% |
| sam-572 vs Azucena | 75–42 | 64.10% |
| sam-572 vs Leroy | 79–37 | 68.10% |
| sam-572 vs Jun | 77–34 | 69.37% |
| sam-572 vs Anna | 64–42 | 60.38% |
| sam-572 vs Lee | 55–50 | 52.38% |
| sam-572 vs Fahkumram | 69–30 | 69.70% |
| sam-572 vs Lidia | 47–44–1 | 51.65% |
| sam-572 vs Nina | 64–26 | 71.11% |
| sam-572 vs Leo | 54–28 | 65.85% |
| sam-572 vs Armor King | 43–30 | 58.90% |
| sam-572 vs Yoshimitsu | 50–22 | 69.44% |
| sam-572 vs Eddy | 36–33 | 52.17% |
| sam-572 vs Shaheen | 43–25 | 63.24% |
| sam-572 vs Xiaoyu | 41–24 | 63.08% |
| sam-572 vs Kuma | 42–23 | 64.62% |
| sam-572 vs Alisa | 40–23 | 63.49% |
| sam-572 vs Zafina | 39–23 | 62.90% |
| sam-572 vs Raven | 32–22 | 59.26% |
| sam-572 vs Miary Zo | 16–26 | 38.10% |
| sam-572 vs Panda | 21–17 | 55.26% |
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.