| MaRco vs Kazuya | 20–54 | 27.03% |
| MaRco vs King | 29–34 | 46.03% |
| MaRco vs Jin | 19–42 | 31.15% |
| MaRco vs Dragunov | 19–23 | 45.24% |
| MaRco vs Victor | 15–24 | 38.46% |
| MaRco vs Lili | 14–22 | 38.89% |
| MaRco vs Steve | 16–19 | 45.71% |
| MaRco vs Heihachi | 14–21 | 40.00% |
| MaRco vs Hwoarang | 12–20 | 37.50% |
| MaRco vs Bryan | 13–18 | 41.94% |
| MaRco vs Jun | 7–18 | 28.00% |
| MaRco vs Reina | 13–12 | 52.00% |
| MaRco vs Paul | 7–15 | 31.82% |
| MaRco vs Law | 7–15 | 31.82% |
| MaRco vs Yoshimitsu | 9–12 | 42.86% |
| MaRco vs Devil Jin | 2–19 | 9.52% |
| MaRco vs Eddy | 6–13 | 31.58% |
| MaRco vs Nina | 8–9 | 47.06% |
| MaRco vs Feng | 8–7 | 53.33% |
| MaRco vs Lee | 4–11 | 26.67% |
| MaRco vs Leo | 5–9 | 35.71% |
| MaRco vs Lars | 1–13 | 7.14% |
| MaRco vs Clive | 4–10 | 28.57% |
| MaRco vs Jack-8 | 4–9 | 30.77% |
| MaRco vs Kuma | 5–8 | 38.46% |
| MaRco vs Anna | 5–7 | 41.67% |
| MaRco vs Alisa | 4–7 | 36.36% |
| MaRco vs Lidia | 6–5 | 54.55% |
| MaRco vs Azucena | 2–8 | 20.00% |
| MaRco vs Fahkumram | 4–6 | 40.00% |
| MaRco vs Xiaoyu | 3–6 | 33.33% |
| MaRco vs Leroy | 5–4 | 55.56% |
| MaRco vs Asuka | 2–6 | 25.00% |
| MaRco vs Claudio | 2–2 | 50.00% |
| MaRco vs Raven | 1–3 | 25.00% |
| MaRco vs Shaheen | 1–1 | 50.00% |
| MaRco vs Panda | 0–1 | 0.00% |
| MaRco vs Zafina | 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.