| Slammy1 vs Jin | 115–95 | 54.76% |
| Slammy1 vs Kazuya | 129–80 | 61.72% |
| Slammy1 vs Bryan | 96–83 | 53.63% |
| Slammy1 vs King | 111–57 | 66.07% |
| Slammy1 vs Steve | 89–56 | 61.38% |
| Slammy1 vs Reina | 86–59 | 59.31% |
| Slammy1 vs Hwoarang | 90–45 | 66.67% |
| Slammy1 vs Paul | 76–49 | 60.80% |
| Slammy1 vs Heihachi | 67–54 | 55.37% |
| Slammy1 vs Law | 75–43 | 63.56% |
| Slammy1 vs Dragunov | 79–36 | 68.70% |
| Slammy1 vs Azucena | 67–45 | 59.82% |
| Slammy1 vs Yoshimitsu | 68–35 | 66.02% |
| Slammy1 vs Fahkumram | 51–44 | 53.68% |
| Slammy1 vs Armor King | 39–55 | 41.49% |
| Slammy1 vs Asuka | 51–36 | 58.62% |
| Slammy1 vs Lars | 48–38 | 55.81% |
| Slammy1 vs Lee | 41–39 | 51.25% |
| Slammy1 vs Lili | 48–31 | 60.76% |
| Slammy1 vs Anna | 51–25 | 67.11% |
| Slammy1 vs Devil Jin | 43–30 | 58.90% |
| Slammy1 vs Jun | 44–22 | 66.67% |
| Slammy1 vs Eddy | 44–20 | 68.75% |
| Slammy1 vs Xiaoyu | 32–29 | 52.46% |
| Slammy1 vs Lidia | 35–25 | 58.33% |
| Slammy1 vs Feng | 38–21 | 64.41% |
| Slammy1 vs Nina | 36–16 | 69.23% |
| Slammy1 vs Miary Zo | 27–24 | 52.94% |
| Slammy1 vs Victor | 29–20 | 59.18% |
| Slammy1 vs Leo | 20–27 | 42.55% |
| Slammy1 vs Raven | 29–18 | 61.70% |
| Slammy1 vs Jack-8 | 23–21 | 52.27% |
| Slammy1 vs Claudio | 24–17 | 58.54% |
| Slammy1 vs Clive | 31–10 | 75.61% |
| Slammy1 vs Leroy | 24–15 | 61.54% |
| Slammy1 vs Kuma | 14–13 | 51.85% |
| Slammy1 vs Alisa | 18–6 | 75.00% |
| Slammy1 vs Shaheen | 12–10 | 54.55% |
| Slammy1 vs Panda | 11–6 | 64.71% |
| Slammy1 vs Zafina | 8–8 | 50.00% |
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.