| -Samissac vs Kazuya | 102–122 | 45.54% |
| -Samissac vs King | 93–116 | 44.50% |
| -Samissac vs Jin | 98–111 | 46.89% |
| -Samissac vs Bryan | 74–95 | 43.79% |
| -Samissac vs Reina | 82–87 | 48.52% |
| -Samissac vs Law | 59–91 | 39.33% |
| -Samissac vs Hwoarang | 69–73 | 48.59% |
| -Samissac vs Steve | 59–81 | 42.14% |
| -Samissac vs Eddy | 59–73 | 44.70% |
| -Samissac vs Dragunov | 67–53 | 55.83% |
| -Samissac vs Azucena | 56–60 | 48.28% |
| -Samissac vs Yoshimitsu | 62–45 | 57.94% |
| -Samissac vs Feng | 37–69 | 34.91% |
| -Samissac vs Lee | 38–67 | 36.19% |
| -Samissac vs Armor King | 40–60 | 40.00% |
| -Samissac vs Paul | 51–47 | 52.04% |
| -Samissac vs Asuka | 42–52 | 44.68% |
| -Samissac vs Xiaoyu | 48–42 | 53.33% |
| -Samissac vs Lili | 36–48 | 42.86% |
| -Samissac vs Jun | 42–38 | 52.50% |
| -Samissac vs Victor | 40–32 | 55.56% |
| -Samissac vs Nina | 35–31 | 53.03% |
| -Samissac vs Lars | 35–30 | 53.85% |
| -Samissac vs Miary Zo | 21–38 | 35.59% |
| -Samissac vs Devil Jin | 18–40 | 31.03% |
| -Samissac vs Heihachi | 24–32 | 42.86% |
| -Samissac vs Fahkumram | 25–30 | 45.45% |
| -Samissac vs Leroy | 26–28 | 48.15% |
| -Samissac vs Jack-8 | 25–28 | 47.17% |
| -Samissac vs Leo | 28–25 | 52.83% |
| -Samissac vs Alisa | 22–31 | 41.51% |
| -Samissac vs Raven | 13–31 | 29.55% |
| -Samissac vs Lidia | 18–21 | 46.15% |
| -Samissac vs Claudio | 21–14 | 60.00% |
| -Samissac vs Anna | 15–16 | 48.39% |
| -Samissac vs Shaheen | 12–18 | 40.00% |
| -Samissac vs Kuma | 13–17 | 43.33% |
| -Samissac vs Zafina | 11–17 | 39.29% |
| -Samissac vs Clive | 12–9 | 57.14% |
| -Samissac vs Panda | 9–4 | 69.23% |
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.