| Slattlyfee vs King | 45–36 | 55.56% |
| Slattlyfee vs Jin | 40–38 | 51.28% |
| Slattlyfee vs Steve | 46–29 | 61.33% |
| Slattlyfee vs Kazuya | 30–38 | 44.12% |
| Slattlyfee vs Bryan | 34–29 | 53.97% |
| Slattlyfee vs Reina | 35–27 | 56.45% |
| Slattlyfee vs Law | 31–27 | 53.45% |
| Slattlyfee vs Jun | 27–27 | 50.00% |
| Slattlyfee vs Hwoarang | 22–28 | 44.00% |
| Slattlyfee vs Lili | 26–24 | 52.00% |
| Slattlyfee vs Eddy | 20–28 | 41.67% |
| Slattlyfee vs Paul | 27–19 | 58.70% |
| Slattlyfee vs Azucena | 20–16 | 55.56% |
| Slattlyfee vs Dragunov | 19–15 | 55.88% |
| Slattlyfee vs Lidia | 24–8 | 75.00% |
| Slattlyfee vs Asuka | 10–21 | 32.26% |
| Slattlyfee vs Nina | 11–19 | 36.67% |
| Slattlyfee vs Lars | 13–15 | 46.43% |
| Slattlyfee vs Leroy | 14–13 | 51.85% |
| Slattlyfee vs Jack-8 | 9–15 | 37.50% |
| Slattlyfee vs Alisa | 15–9 | 62.50% |
| Slattlyfee vs Yoshimitsu | 9–14 | 39.13% |
| Slattlyfee vs Leo | 12–11 | 52.17% |
| Slattlyfee vs Devil Jin | 13–8 | 61.90% |
| Slattlyfee vs Victor | 8–12 | 40.00% |
| Slattlyfee vs Shaheen | 9–8 | 52.94% |
| Slattlyfee vs Xiaoyu | 5–9 | 35.71% |
| Slattlyfee vs Lee | 6–7 | 46.15% |
| Slattlyfee vs Panda | 7–5 | 58.33% |
| Slattlyfee vs Raven | 6–6 | 50.00% |
| Slattlyfee vs Zafina | 4–4 | 50.00% |
| Slattlyfee vs Kuma | 4–3 | 57.14% |
| Slattlyfee vs Feng | 1–5 | 16.67% |
| Slattlyfee vs Claudio | 1–4 | 20.00% |
| Slattlyfee vs Heihachi | 2–0 | 100.00% |
| Slattlyfee vs Clive | 1–1 | 50.00% |
| Slattlyfee vs Anna | 2–0 | 100.00% |
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.