| SlappFisk vs Kazuya | 57–49 | 53.77% |
| SlappFisk vs Jin | 44–47 | 48.35% |
| SlappFisk vs King | 29–34 | 46.03% |
| SlappFisk vs Reina | 35–26 | 57.38% |
| SlappFisk vs Bryan | 29–23 | 55.77% |
| SlappFisk vs Hwoarang | 29–19 | 60.42% |
| SlappFisk vs Steve | 27–20 | 57.45% |
| SlappFisk vs Dragunov | 22–20 | 52.38% |
| SlappFisk vs Yoshimitsu | 23–13 | 63.89% |
| SlappFisk vs Jun | 17–17 | 50.00% |
| SlappFisk vs Eddy | 13–20 | 39.39% |
| SlappFisk vs Heihachi | 20–13 | 60.61% |
| SlappFisk vs Azucena | 17–13 | 56.67% |
| SlappFisk vs Law | 16–13 | 55.17% |
| SlappFisk vs Asuka | 13–13 | 50.00% |
| SlappFisk vs Paul | 13–12 | 52.00% |
| SlappFisk vs Lili | 13–12 | 52.00% |
| SlappFisk vs Lars | 16–8 | 66.67% |
| SlappFisk vs Victor | 10–13 | 43.48% |
| SlappFisk vs Leo | 8–14 | 36.36% |
| SlappFisk vs Leroy | 12–10 | 54.55% |
| SlappFisk vs Kuma | 10–10 | 50.00% |
| SlappFisk vs Clive | 7–12 | 36.84% |
| SlappFisk vs Jack-8 | 10–8 | 55.56% |
| SlappFisk vs Claudio | 11–7 | 61.11% |
| SlappFisk vs Devil Jin | 9–8 | 52.94% |
| SlappFisk vs Nina | 9–8 | 52.94% |
| SlappFisk vs Lee | 8–8 | 50.00% |
| SlappFisk vs Anna | 7–8 | 46.67% |
| SlappFisk vs Lidia | 7–7 | 50.00% |
| SlappFisk vs Armor King | 8–6 | 57.14% |
| SlappFisk vs Xiaoyu | 9–4 | 69.23% |
| SlappFisk vs Feng | 6–7 | 46.15% |
| SlappFisk vs Fahkumram | 8–5 | 61.54% |
| SlappFisk vs Alisa | 5–7 | 41.67% |
| SlappFisk vs Panda | 7–2 | 77.78% |
| SlappFisk vs Raven | 3–5 | 37.50% |
| SlappFisk vs Shaheen | 5–2 | 71.43% |
| SlappFisk vs Zafina | 4–2 | 66.67% |
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.