| Sylumn vs Reina | 79–70 | 53.02% |
| Sylumn vs Kazuya | 84–60 | 58.33% |
| Sylumn vs Jin | 60–65 | 48.00% |
| Sylumn vs Hwoarang | 48–74 | 39.34% |
| Sylumn vs Heihachi | 59–63 | 48.36% |
| Sylumn vs Bryan | 55–57 | 49.11% |
| Sylumn vs King | 49–56 | 46.67% |
| Sylumn vs Law | 50–49 | 50.51% |
| Sylumn vs Dragunov | 34–40 | 45.95% |
| Sylumn vs Paul | 30–40 | 42.86% |
| Sylumn vs Lee | 25–39 | 39.06% |
| Sylumn vs Jun | 26–37 | 41.27% |
| Sylumn vs Yoshimitsu | 30–30 | 50.00% |
| Sylumn vs Steve | 33–26 | 55.93% |
| Sylumn vs Devil Jin | 30–28 | 51.72% |
| Sylumn vs Lili | 32–26 | 55.17% |
| Sylumn vs Fahkumram | 27–31 | 46.55% |
| Sylumn vs Asuka | 26–24 | 52.00% |
| Sylumn vs Feng | 24–19 | 55.81% |
| Sylumn vs Leo | 21–20 | 51.22% |
| Sylumn vs Xiaoyu | 16–20 | 44.44% |
| Sylumn vs Clive | 18–18 | 50.00% |
| Sylumn vs Victor | 16–19 | 45.71% |
| Sylumn vs Lars | 16–17 | 48.48% |
| Sylumn vs Claudio | 11–19 | 36.67% |
| Sylumn vs Eddy | 16–14 | 53.33% |
| Sylumn vs Alisa | 14–15 | 48.28% |
| Sylumn vs Raven | 9–20 | 31.03% |
| Sylumn vs Lidia | 21–8 | 72.41% |
| Sylumn vs Nina | 11–14 | 44.00% |
| Sylumn vs Anna | 13–11 | 54.17% |
| Sylumn vs Azucena | 17–4 | 80.95% |
| Sylumn vs Jack-8 | 12–6 | 66.67% |
| Sylumn vs Panda | 4–11 | 26.67% |
| Sylumn vs Shaheen | 2–10 | 16.67% |
| Sylumn vs Leroy | 4–5 | 44.44% |
| Sylumn vs Armor King | 3–4 | 42.86% |
| Sylumn vs Zafina | 4–2 | 66.67% |
| Sylumn vs Kuma | 2–3 | 40.00% |
| Sylumn vs Miary Zo | 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.