| Vyloon vs Heihachi | 58–29 | 66.67% |
| Vyloon vs Clive | 28–9 | 75.68% |
| Vyloon vs Reina | 19–12 | 61.29% |
| Vyloon vs Bryan | 25–4 | 86.21% |
| Vyloon vs Kazuya | 16–13 | 55.17% |
| Vyloon vs Yoshimitsu | 19–7 | 73.08% |
| Vyloon vs Hwoarang | 23–3 | 88.46% |
| Vyloon vs Jin | 16–10 | 61.54% |
| Vyloon vs Steve | 18–6 | 75.00% |
| Vyloon vs King | 13–8 | 61.90% |
| Vyloon vs Lili | 17–3 | 85.00% |
| Vyloon vs Lee | 8–10 | 44.44% |
| Vyloon vs Dragunov | 8–7 | 53.33% |
| Vyloon vs Lidia | 9–6 | 60.00% |
| Vyloon vs Paul | 9–5 | 64.29% |
| Vyloon vs Asuka | 10–4 | 71.43% |
| Vyloon vs Azucena | 10–4 | 71.43% |
| Vyloon vs Devil Jin | 8–5 | 61.54% |
| Vyloon vs Feng | 7–4 | 63.64% |
| Vyloon vs Leo | 7–3 | 70.00% |
| Vyloon vs Nina | 8–2 | 80.00% |
| Vyloon vs Victor | 5–5 | 50.00% |
| Vyloon vs Law | 6–3 | 66.67% |
| Vyloon vs Xiaoyu | 5–3 | 62.50% |
| Vyloon vs Jack-8 | 8–0 | 100.00% |
| Vyloon vs Lars | 5–3 | 62.50% |
| Vyloon vs Eddy | 7–1 | 87.50% |
| Vyloon vs Zafina | 6–1 | 85.71% |
| Vyloon vs Jun | 7–0 | 100.00% |
| Vyloon vs Raven | 5–2 | 71.43% |
| Vyloon vs Alisa | 2–3 | 40.00% |
| Vyloon vs Anna | 4–1 | 80.00% |
| Vyloon vs Leroy | 2–1 | 66.67% |
| Vyloon vs Armor King | 0–2 | 0.00% |
| Vyloon vs Miary Zo | 0–2 | 0.00% |
| Vyloon vs Claudio | 1–0 | 100.00% |
| Vyloon vs Fahkumram | 0–1 | 0.00% |
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.