| Marlonge vs King | 42–21 | 66.67% |
| Marlonge vs Jin | 28–30 | 48.28% |
| Marlonge vs Reina | 35–19 | 64.81% |
| Marlonge vs Kazuya | 19–24 | 44.19% |
| Marlonge vs Steve | 26–15 | 63.41% |
| Marlonge vs Bryan | 18–19 | 48.65% |
| Marlonge vs Law | 20–13 | 60.61% |
| Marlonge vs Hwoarang | 15–12 | 55.56% |
| Marlonge vs Jun | 19–7 | 73.08% |
| Marlonge vs Lee | 14–11 | 56.00% |
| Marlonge vs Azucena | 12–13 | 48.00% |
| Marlonge vs Lili | 13–9 | 59.09% |
| Marlonge vs Heihachi | 11–10 | 52.38% |
| Marlonge vs Yoshimitsu | 9–11 | 45.00% |
| Marlonge vs Nina | 8–12 | 40.00% |
| Marlonge vs Xiaoyu | 13–3 | 81.25% |
| Marlonge vs Victor | 7–9 | 43.75% |
| Marlonge vs Eddy | 7–8 | 46.67% |
| Marlonge vs Lidia | 9–6 | 60.00% |
| Marlonge vs Asuka | 10–4 | 71.43% |
| Marlonge vs Kuma | 8–5 | 61.54% |
| Marlonge vs Dragunov | 6–6 | 50.00% |
| Marlonge vs Jack-8 | 3–8 | 27.27% |
| Marlonge vs Alisa | 7–4 | 63.64% |
| Marlonge vs Paul | 6–4 | 60.00% |
| Marlonge vs Lars | 4–6 | 40.00% |
| Marlonge vs Clive | 5–4 | 55.56% |
| Marlonge vs Devil Jin | 5–3 | 62.50% |
| Marlonge vs Zafina | 6–2 | 75.00% |
| Marlonge vs Anna | 5–3 | 62.50% |
| Marlonge vs Leo | 4–3 | 57.14% |
| Marlonge vs Raven | 5–2 | 71.43% |
| Marlonge vs Leroy | 3–3 | 50.00% |
| Marlonge vs Feng | 4–1 | 80.00% |
| Marlonge vs Shaheen | 0–3 | 0.00% |
| Marlonge vs Claudio | 1–1 | 50.00% |
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.