| MarchelloZ vs King | 13–11 | 54.17% |
| MarchelloZ vs Kazuya | 8–14 | 36.36% |
| MarchelloZ vs Bryan | 16–4 | 80.00% |
| MarchelloZ vs Jin | 7–12 | 36.84% |
| MarchelloZ vs Hwoarang | 9–5 | 64.29% |
| MarchelloZ vs Azucena | 10–4 | 71.43% |
| MarchelloZ vs Xiaoyu | 9–4 | 69.23% |
| MarchelloZ vs Steve | 9–3 | 75.00% |
| MarchelloZ vs Yoshimitsu | 5–6 | 45.45% |
| MarchelloZ vs Dragunov | 3–8 | 27.27% |
| MarchelloZ vs Law | 8–2 | 80.00% |
| MarchelloZ vs Lili | 7–3 | 70.00% |
| MarchelloZ vs Lars | 6–4 | 60.00% |
| MarchelloZ vs Victor | 5–4 | 55.56% |
| MarchelloZ vs Eddy | 4–5 | 44.44% |
| MarchelloZ vs Lidia | 7–2 | 77.78% |
| MarchelloZ vs Heihachi | 6–3 | 66.67% |
| MarchelloZ vs Devil Jin | 7–1 | 87.50% |
| MarchelloZ vs Alisa | 3–5 | 37.50% |
| MarchelloZ vs Nina | 4–4 | 50.00% |
| MarchelloZ vs Reina | 3–5 | 37.50% |
| MarchelloZ vs Clive | 1–6 | 14.29% |
| MarchelloZ vs Jack-8 | 1–5 | 16.67% |
| MarchelloZ vs Asuka | 1–5 | 16.67% |
| MarchelloZ vs Paul | 3–2 | 60.00% |
| MarchelloZ vs Jun | 3–2 | 60.00% |
| MarchelloZ vs Feng | 1–3 | 25.00% |
| MarchelloZ vs Claudio | 1–3 | 25.00% |
| MarchelloZ vs Leo | 0–2 | 0.00% |
| MarchelloZ vs Kuma | 0–2 | 0.00% |
| MarchelloZ vs Leroy | 2–0 | 100.00% |
| MarchelloZ vs Shaheen | 0–1 | 0.00% |
| MarchelloZ vs Lee | 0–1 | 0.00% |
| MarchelloZ vs Panda | 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.