| marpon vs Reina | 20–18 | 52.63% |
| marpon vs Bryan | 17–14 | 54.84% |
| marpon vs King | 14–11 | 56.00% |
| marpon vs Kazuya | 17–8 | 68.00% |
| marpon vs Paul | 11–11 | 50.00% |
| marpon vs Asuka | 15–5 | 75.00% |
| marpon vs Dragunov | 12–6 | 66.67% |
| marpon vs Law | 9–8 | 52.94% |
| marpon vs Steve | 7–10 | 41.18% |
| marpon vs Victor | 5–12 | 29.41% |
| marpon vs Lili | 7–9 | 43.75% |
| marpon vs Jin | 6–9 | 40.00% |
| marpon vs Jun | 7–6 | 53.85% |
| marpon vs Alisa | 4–8 | 33.33% |
| marpon vs Jack-8 | 4–7 | 36.36% |
| marpon vs Clive | 5–6 | 45.45% |
| marpon vs Yoshimitsu | 5–5 | 50.00% |
| marpon vs Hwoarang | 5–5 | 50.00% |
| marpon vs Zafina | 6–3 | 66.67% |
| marpon vs Leroy | 4–5 | 44.44% |
| marpon vs Azucena | 1–7 | 12.50% |
| marpon vs Heihachi | 1–6–1 | 14.29% |
| marpon vs Nina | 4–3 | 57.14% |
| marpon vs Leo | 2–4 | 33.33% |
| marpon vs Lars | 3–3 | 50.00% |
| marpon vs Lidia | 4–2 | 66.67% |
| marpon vs Devil Jin | 2–3 | 40.00% |
| marpon vs Eddy | 2–3 | 40.00% |
| marpon vs Anna | 2–3 | 40.00% |
| marpon vs Kuma | 4–0 | 100.00% |
| marpon vs Armor King | 2–2 | 50.00% |
| marpon vs Feng | 1–2 | 33.33% |
| marpon vs Miary Zo | 2–1 | 66.67% |
| marpon vs Xiaoyu | 0–2 | 0.00% |
| marpon vs Claudio | 0–2 | 0.00% |
| marpon vs Shaheen | 2–0 | 100.00% |
| marpon 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.