| SpliffEm vs King | 46–42 | 52.27% |
| SpliffEm vs Kazuya | 43–40 | 51.81% |
| SpliffEm vs Reina | 46–34 | 57.50% |
| SpliffEm vs Steve | 32–31 | 50.79% |
| SpliffEm vs Bryan | 31–30 | 50.82% |
| SpliffEm vs Jin | 30–24 | 55.56% |
| SpliffEm vs Dragunov | 27–22 | 55.10% |
| SpliffEm vs Hwoarang | 21–27 | 43.75% |
| SpliffEm vs Paul | 15–24 | 38.46% |
| SpliffEm vs Asuka | 25–13 | 65.79% |
| SpliffEm vs Azucena | 15–21 | 41.67% |
| SpliffEm vs Feng | 18–14 | 56.25% |
| SpliffEm vs Lili | 8–23 | 25.81% |
| SpliffEm vs Xiaoyu | 13–17 | 43.33% |
| SpliffEm vs Lars | 14–15 | 48.28% |
| SpliffEm vs Law | 12–16 | 42.86% |
| SpliffEm vs Leo | 14–10 | 58.33% |
| SpliffEm vs Victor | 15–8 | 65.22% |
| SpliffEm vs Heihachi | 19–4 | 82.61% |
| SpliffEm vs Yoshimitsu | 8–14 | 36.36% |
| SpliffEm vs Jack-8 | 14–8 | 63.64% |
| SpliffEm vs Lee | 10–12 | 45.45% |
| SpliffEm vs Leroy | 12–10 | 54.55% |
| SpliffEm vs Anna | 15–6 | 71.43% |
| SpliffEm vs Eddy | 12–8 | 60.00% |
| SpliffEm vs Claudio | 8–11 | 42.11% |
| SpliffEm vs Devil Jin | 6–11 | 35.29% |
| SpliffEm vs Jun | 9–7 | 56.25% |
| SpliffEm vs Lidia | 5–10 | 33.33% |
| SpliffEm vs Nina | 5–9 | 35.71% |
| SpliffEm vs Alisa | 4–5 | 44.44% |
| SpliffEm vs Shaheen | 8–1 | 88.89% |
| SpliffEm vs Zafina | 3–6 | 33.33% |
| SpliffEm vs Raven | 5–4 | 55.56% |
| SpliffEm vs Clive | 3–6 | 33.33% |
| SpliffEm vs Kuma | 5–3 | 62.50% |
| SpliffEm vs Fahkumram | 5–2 | 71.43% |
| SpliffEm vs Panda | 3–0 | 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.