| 00SAMA vs Kazuya | 106–128 | 45.30% |
| 00SAMA vs Jin | 109–94 | 53.69% |
| 00SAMA vs Armor King | 99–104 | 48.77% |
| 00SAMA vs King | 86–80 | 51.81% |
| 00SAMA vs Steve | 83–58 | 58.87% |
| 00SAMA vs Bryan | 64–76 | 45.71% |
| 00SAMA vs Law | 64–72 | 47.06% |
| 00SAMA vs Heihachi | 63–51 | 55.26% |
| 00SAMA vs Dragunov | 56–54 | 50.91% |
| 00SAMA vs Reina | 52–58 | 47.27% |
| 00SAMA vs Hwoarang | 53–51 | 50.96% |
| 00SAMA vs Lili | 44–56 | 44.00% |
| 00SAMA vs Yoshimitsu | 47–44 | 51.65% |
| 00SAMA vs Fahkumram | 37–50 | 42.53% |
| 00SAMA vs Paul | 41–37 | 52.56% |
| 00SAMA vs Devil Jin | 37–36 | 50.68% |
| 00SAMA vs Nina | 33–30 | 52.38% |
| 00SAMA vs Victor | 33–28 | 54.10% |
| 00SAMA vs Lee | 27–33 | 45.00% |
| 00SAMA vs Lars | 29–23 | 55.77% |
| 00SAMA vs Jun | 28–24 | 53.85% |
| 00SAMA vs Alisa | 22–28 | 44.00% |
| 00SAMA vs Xiaoyu | 27–22 | 55.10% |
| 00SAMA vs Asuka | 25–24 | 51.02% |
| 00SAMA vs Eddy | 20–24 | 45.45% |
| 00SAMA vs Azucena | 21–22 | 48.84% |
| 00SAMA vs Lidia | 19–22 | 46.34% |
| 00SAMA vs Feng | 21–18–1 | 53.85% |
| 00SAMA vs Leroy | 20–18 | 52.63% |
| 00SAMA vs Clive | 25–11 | 69.44% |
| 00SAMA vs Miary Zo | 18–17 | 51.43% |
| 00SAMA vs Jack-8 | 13–16 | 44.83% |
| 00SAMA vs Anna | 4–20 | 16.67% |
| 00SAMA vs Leo | 11–12 | 47.83% |
| 00SAMA vs Raven | 16–6 | 72.73% |
| 00SAMA vs Claudio | 10–11 | 47.62% |
| 00SAMA vs Shaheen | 9–9 | 50.00% |
| 00SAMA vs Kuma | 5–7 | 41.67% |
| 00SAMA vs Panda | 5–7 | 41.67% |
| 00SAMA vs Zafina | 3–6 | 33.33% |
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.