| MarlonHwtn vs Hwoarang | 50–41 | 54.95% |
| MarlonHwtn vs Jin | 51–38 | 57.30% |
| MarlonHwtn vs King | 39–44 | 46.99% |
| MarlonHwtn vs Law | 45–30 | 60.00% |
| MarlonHwtn vs Bryan | 37–38 | 49.33% |
| MarlonHwtn vs Heihachi | 45–24 | 65.22% |
| MarlonHwtn vs Steve | 32–34 | 48.48% |
| MarlonHwtn vs Kazuya | 39–26 | 60.00% |
| MarlonHwtn vs Reina | 29–31 | 48.33% |
| MarlonHwtn vs Lars | 23–36 | 38.98% |
| MarlonHwtn vs Yoshimitsu | 33–23 | 58.93% |
| MarlonHwtn vs Dragunov | 27–23 | 54.00% |
| MarlonHwtn vs Paul | 22–22 | 50.00% |
| MarlonHwtn vs Lili | 22–19 | 53.66% |
| MarlonHwtn vs Leroy | 28–12 | 70.00% |
| MarlonHwtn vs Alisa | 21–18 | 53.85% |
| MarlonHwtn vs Jun | 15–24 | 38.46% |
| MarlonHwtn vs Azucena | 19–19 | 50.00% |
| MarlonHwtn vs Eddy | 14–21 | 40.00% |
| MarlonHwtn vs Xiaoyu | 23–11 | 67.65% |
| MarlonHwtn vs Asuka | 21–12 | 63.64% |
| MarlonHwtn vs Lee | 18–13 | 58.06% |
| MarlonHwtn vs Devil Jin | 13–15 | 46.43% |
| MarlonHwtn vs Jack-8 | 12–15 | 44.44% |
| MarlonHwtn vs Leo | 14–11 | 56.00% |
| MarlonHwtn vs Raven | 14–9 | 60.87% |
| MarlonHwtn vs Claudio | 11–11 | 50.00% |
| MarlonHwtn vs Clive | 8–13 | 38.10% |
| MarlonHwtn vs Nina | 12–8 | 60.00% |
| MarlonHwtn vs Feng | 11–7 | 61.11% |
| MarlonHwtn vs Zafina | 9–9 | 50.00% |
| MarlonHwtn vs Victor | 6–10 | 37.50% |
| MarlonHwtn vs Shaheen | 2–12 | 14.29% |
| MarlonHwtn vs Kuma | 3–11 | 21.43% |
| MarlonHwtn vs Anna | 5–9 | 35.71% |
| MarlonHwtn vs Lidia | 6–7 | 46.15% |
| MarlonHwtn vs Fahkumram | 4–3 | 57.14% |
| MarlonHwtn vs Panda | 1–2 | 33.33% |
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.